Evaluation of multi endpoint assay t Source Mutat Res SO 2013 Feb 18 751 1 59 65[PMIDN23201538]
EndocrineDisruption
Level 1
Sorting & prioritization based upon existing information
- Physical & chemical properties, eg MW, reactivity, volatility, biodegradability - Human & environmental exposure, eg production volume, release, use patterns - Hazard, eg available toxicological data
- High Through Put Prescreens - Thyroid function - Fish hepatocyte VTG screen - Others (as appropriate)
Level 3
In vivo assays providing data about single endocrine mechanisms and effects
- No interim definition for ecotoxicology
4
Initiatives to define endocrine disruption
● ECETOC approach (toxicology and ecotoxicology) ● BfR approach (toxicology only)
- Uterotrophic assay (estrogen related) - Hershberger assay (androgen related) - Non receptor mediated hormone function - Other (eg thyroid)
病毒学术语中英文对照
A single- generation study 单项包括两代(生殖毒性)的研究 Acentric fragment 无着丝点片段Acridine orange 吖啶橙 Active metabolite 活性代谢产物 Additional test 附加试验 Adduct 加合物 ADME 吸引、分布、代谢、排泄 Administration period 给药期 Advers effect 不良反应 Against humanized proteins serum antibodies 抗人源蛋白血清抗体 Aginal smear 阴道涂片 Air righting reflex 空中翻正反射 Alkylating electrophilic cernter 浣化亲电子中心Allele 基因突变产生的遗传因子 Allergic reactions 过敏性反应(变应性反应) Altenative validated test 有效替代试验 Altered growth 生长改变 Ammoniun sulphide staining of the uterus 子宫硫化胺染色 Analogue 类似物(同系物) Analogue series of substance 同系物Analytical method 分析方法 Anaphase 分裂后期 Aneuploidy 非整倍体 Aneuploidy inducer 非整倍体诱导剂 Antigenic specificity 抗原特异性Art and ethical standards 技术和伦理标准Assessment of genotoxicity 遗传毒性评价 AUC 曲线下面积Auditory startle reflex 惊愕反射(听觉惊跳反射) Autoimmune 自身免疫 Autoradiographic assessment 放射自显影评价Autoradiography 放射自显影 Bacterial mutagenicity test 细菌致突变试验 Bacterial reverse mutation test 细菌回复突变试验 Bacterial strains 菌株 Bacterial test organisms 微生物试验菌 Base pairs 碱基对Base set of strains 基本菌株 Base substitution 碱基置换 Bioanalytical method 生物学分析方法 Bioavailability 生物利用度 Biological method 生物学意义Biotechnological products 生物技术产品 Biotechnoloty-derived pharmaceuticals 生物技术药物 Body burden 机体负担 Bone marrow cell 骨髓细胞 Bouin's fixation 包氏液固定Breakage of chromatid 染色单体断裂 Brealage of chromosome 染色体断裂 Bridging character 桥梁作用 C(time) 一定剂量、某一时间的浓度 Carcinogen 致癌物质Carcinogenesis 致癌性 Carcinogenic hazard 致癌性危害 Carcinogenicity bioassay 致癌性生物检测 Carcinogenicity potential of chemical 化合物的潜在致癌性 Carcinoginicity (oncogenicity) 致癌(致瘤) Cardiovascular 心血管 Case-by-case 个例 Cell proliferation 细胞增殖 Cell cultures 细胞培养 Cell line 细胞系 Cell membrane lipid 细胞膜脂质层 Cell replication system 细胞复制系统 Cell suspension 细胞悬液 Cell-mediated immunity 细胞介导的免疫 Cellular therapy 细胞治疗 Central nervous systems 中枢神经系统 Cerebral spinal fluid 脑脊液 Chemical nature 化学性质 Chinese hamster V79 cell 中国仓鼠V79细胞Chromatide 染色单体 Chromosomal aberration 染色体畸变 Chromosomal damage 染色体损伤 Chromosomal integrity 染色体完整性 Chronic toxicity testing 慢性毒性试验 Classfical biotransformation studies 经典的生物转化试验 Clastogen 染色体断裂剂 Clastogenic 致染色体断裂的 Clinical indication 临床适应证 Cloning efficiency 克隆形成率Closure of the hard palate 硬腭闭合 Cmax 峰浓度 Colony sizing 集落大小 Comparative trial 对比试验Complement binding 补体结合 Completely novel compound 全新化合物 Compound bearing structural alerts 结构可疑化合物 Concentration threshold 阈浓度 Concomitant toxicokinetics 相伴毒代动力学 Continuous treatment 连续接触 Corpora lutea 黄体 Corpora lutea count 黄体数 Cross-linking agent 交联剂 Culture condition 培养条件 Culture confluency 培养克隆率 Culture confluenty 培养融合 Culture medium 培养基 Cytogenetic change 细胞遗传学改变 Cytogenetic evaluation 细胞遗传学评价 Cytokines 细胞因子 Cytotoxicity 细胞毒Degradation 降解 Deletion 缺失 Descriptive statistics 描述性统计 Detection of bacterial mutagen 细菌诱变剂检测 Detection of clastogen 染色体断裂剂检测 Determination of metabolites 测定代谢产物 Developmental toxicity 发育毒性Direct genetic damage 直接遗传损伤 Distribution 分布DNA adduct DNA加合物DNA damage DNA损伤DNA repair DNA 修复DNA strand breaks DNA链断裂 Dose escalation 剂量递增 Dose dependence 剂量依赖关系 Dose level 剂量水平 Dose-limiting toxicity 剂量限制性毒性 Dose-raging studies 剂量范围研究 Dose-relatived mutagenicity 剂量相关性诱变性 Dose-related 剂量相关Dose-relatived cytotoxicity 剂量相关性细胞毒性 Dose-relatived genotoxic activity 剂量相关性遗传毒性 Dose-response curve 剂量-反应曲线 Dosing route 给药途径Embryo-fetal toxicity 胚胎-胎仔毒性 Endogenous components 内源性物质 Endogenous gene 内源性基因Endonuclease 核酸内切酶 Emdpmiclease release from lysosomes 溶酶体释放核酸内切酶End-point 终点 Epitope 抗原决定部位 Error prone repair 易错性修复 Escalation 递增Escherichia coli strain 大肠杆菌菌株 Escherichia coli 大肠杆菌Evaluation of test result 试验结果评价 Exaggerated pharmacological response 超常增强的药理作用 Exposure assessment 接触剂量评价 Exposure period 接解期 External metabolizing system 体外代谢系统F1-animals 子一代动物 False positive result 假阳性结果 Fecundity 多产 Fertility studies 生育力研究 Fetal abnormalities 胎仔异常 Fetal and neonatal parameters 胎仔和仔鼠的生长发育参数 Fetal development and growth 肿仔发育和生长 Fetal period 胎仔期 Fetotoxicity 胎仔毒性First pass testing 一期试验Fluorescence in situ hybridization(FISH) 原位荧光分子杂交 Foetuses 胎仔 Formulation 制剂 Frameshift mutation 移码突变 Frameshite point mutation 移码点突变 Free-standing 独立Fresh dissection technique 新鲜切片技术 Funtional deficits 切能缺陷 Functional test 功能试验 Functional indices 功能性指标 Fusion proteins融合蛋白 Gametes 配子 Gender of animals 动物性别 Gender-specific drug 性别专一性药物Gene knockout 基因剔除 Gene therapy 基因治疗 Gene mutation 基因突变 Genetic 遗传Genetic change 遗传学改变 Genetic damage 遗传学损伤 Genetic endpoint 遗传终点Genetic toxicity 遗传毒性 Genotoxic activity 遗传毒性作用 Genotoxic carcinogen 遗传毒性致癌剂 Genotoxic effect 遗传毒性效应 Genotoxic hazard 遗传毒性危害 Genotoxic potential 潜在遗传毒性 Genotoxic rodent carcinogen 啮齿类动物遗传毒性致癌剂 Genotoxicity 遗传毒性 Genotoxicity test 遗传毒性试验 Genotoxicity test battery 毒性试验组合 Genotoxycity evaluation 遗传毒性评价 Germ cell mutagen 生殖细胞诱变剂 Germ line mutation 生殖系统突变 GLP 临床前研究质量管理规范 Gross chromosomal damage 染色体大损伤 Gross evaluation of placenta 胎盘的大体评价 Growth factors 生长因子 Haemotoxylin staining 苏木素染色 Half-life 半衰期 Hematopoietic cells 造血细胞 Heptachlor 七氯化合物 Heritable 遗传 Heritable defect 遗传缺陷 Heritable disease 遗传性疾病 Heritable effect 遗传效应High concentration 高浓度Histologic appearance of reproductive organ 生殖器官的组织学表现 Histopathological chang 组织病理学改变 Homologous proteins 同系蛋白 Homologous series 同系 Host cell 宿主细胞 Human subjects 人体 Human carcinogen 人类致癌剂Human lymphoblastoid TH6cell 人成淋巴TK6细胞 Human mutagen 人类致突变剂 Humoral immunity 体液免疫 Immature erythrocyte 未成熟红细胞Immediate and latent effect 速发和迟发效应 Immunogenicity 免疫原性 Immunopathological effects 免疫病理反应immunotoxicity 免疫毒性 Implantation 着床 Implantation sites 着床部位 In vitro 体外 In vitro test 体外试验 In vivo 体内 In vivo test 体风试验Incidence of polyploidy cell 多倍体细胞发生率 Incisor eruption 门齿萌发 Independent test 独立试验 Individual fetal body weight 单个胎仔体重 Induced and spontaneous models of disease 诱发或自发的疾病模型Inducer of micronuclei 微核诱导剂 Inhalation 吸入 Inhibitor of DNA metabolism DNA代谢抑制剂 Intact animals 完整动物(整体动物) Internal control 内对照 Interphase nuclei 分裂间期细胞核 Intra-and inter-individual 个体与个体间 Isolated organs 离休器官Juvenile animal studies 未成年动物研究 Kinetic profile 动力学特点 Kinetics 动力学 Lactation 授乳、哺乳Large deletion event 大缺失事件 Late embryo loss 后期胚胎丢失 Level of safety 安全水平Libido 性欲 Life threatering 危及生命 Lipophilic compound 亲脂性化合物 Litter size 每窝胎仔数目 Live and deal conceptuese 活胎和死胎 Live offspring at birth 出生时存活的子代Local tolerance studies 局部耐受性研究 Local toxicity 局部毒性 Locu 位点 Long-termcarcinogenicity study 长期致癌性研究Loss of the tk gene tk基因缺失Major organ formation 主要器官形成 Male fertility 雄性生育力 Male fertility assessment 雄性生育力评价Mammalian sells 哺乳动物细胞 Mammalian species 哺乳类动物 Mammalian sell mutation test 哺乳动物细胞致突变试验 Marketing approval 上市许可 Maternal animal 亲代动物Mating behavior 交配行为 Mating period 交配期 Mating ratio 交配比例 Matrices 基质Maximum tolerated dose(MTD) 最大耐受剂量 Mechanism of genotoxicity 遗传毒性机制Mechanistic investigation 机制研究 Metabolic activation 代谢活化 Metabolic activation pathway 代谢活化途径 Metabolic activation system 代谢活化系统 Metabolism 代谢Metabolites profile 代谢物的概况 Metaphase 中期 Metaphase analysis 分裂中期相分析Metaphase cell 分裂中期相细胞 Micronucleus 微核 Micronucleus formation 微核形成Microtitre 微滴定 Mictotitre method 微滴定法 mimicking 模拟 Mitotic index 有丝分裂指数Molecular characterization 分子特性 Molecular technique 分子技术 Monitor 监测Monoclonal antibodies 单克隆抗体 Non-toxic compound 无毒化合物 Mouse lymphoma L5178Y cell 小鼠淋巴瘤L5178Y细胞 Mouse lymphoma tk assay 小鼠淋巴溜tk检测Mutagen 诱变原 Mutagenic carcinogen 诱变性致癌剂 Mutagenic potential of chemical 化合物的潜在致突变性 Mutant colony 突变体集落 Mutation 突变 Mutation induction in transgenes 转基因诱导突变Necropsy(macroscopic examination) 解剖(大体检查) Negative control 阴性对照 Negative result 阴性结果 Newcleated 有核 Non rodent 非啮齿类Non-clinical 非临床 Non-genotoxic carcinogen 非遗传毒性致癌剂 Non-genotoxic mechanism 非遗传毒性机制 Non-human primate 非人灵长类 Non-linear 非线性 No-toxic-effect dose level 无毒性反应剂量水平 Nucleated bone marrow cell 有核骨髓细胞 Nucleoside analogue 核苷酸同系物 Number of live and dead implantation 宫内活胎和死胎数 Numerical chromosomal aberration 染色体数目畸变 Numerical chromosome changes 染色体数目改变Oligonucleotide grugs 寡核苷酸药物 One ,twe,three generation studies 一、二、三子代研究Paraffine embedding 石蜡包埋 Parameter 参数 Parent compound 母体化合物 Parenteral 非肠道 Particulate material 颗粒物 Peripheral blood erythrocyte 外周血红细胞Pharmacodynamic effects 药效作用 Pharmacodynamics 药效学(药效动力学) Pharmacokinetic 药代动力学 Phenylene diamine 苯二胺 Physical development 身体发育 Physiological stress 生理应激 Pilot studies 前期研究 Pinna unfolding 耳廓张开 Plasmid 质粒 Plasminogen activators 纤维蛋白溶解酶原激活因子 Ploidy 整倍体 Point mutation 点突变 Polychromaticerythrocyte 嗜多染色红细胞 Polycyclic hydrocarbon 多环芳烃 Polymer 聚合物 Polyploidy cell 多倍体细胞 Polyploidy 多倍体 Polyploidy induction 多倍体诱导 Poorly soluble compound 难溶化合物 Positive control 阳性对照 Positive result 阳性结果 Post meiotic stages 减数分裂后期 Post-approval 批准后 Postcoital time frame 交配后日期Postimplantation deaths 着床后死亡 Postnatal deaths 出生后死亡 Postweaning development and growth 断奶后发育和生长 Potential 潜在性 Potential immunogenecity 潜在免疫原性Potential target organs for toxicity 潜在毒性靶器官Pre-and post-natal development study 围产期的发育研究 Pre-and postweaning survival and growth 断奶前后的存少和生长 Precipitate 沉淀期 Precision 精密度 Preclinical safety evaluation 临床前安全性评价 Predetermined criteria 预定标准 Prediction of carcinogenicity 致癌性预测Pregnant and lactation animals 怀孕与哺乳期动物 Preimplantation stages of the embryo 胚胎着床前期 Preliminary studies 预试验 Pre-screening 预筛选 Prevalence of abnormalities 异常情况的普遍程度 Primary active entity 主要活性实体 Priority selection 优先选择 Pro-drug 前体药物 Protocol modification 试验方案修改 Quantification of mutant 突变体定量 Racemate 消旋体 Radiolabeled proteins 放射性同位素标记蛋白 Radiolabelled compounds 放性性同位素标记化合物 Range-finding test 范围确定试验 Rate of preimplantation deaths 着床关死亡率 Rational study design 合理的试验设计 Receptor properties 受体性质 Recombinant DNA proteins DNA重组蛋白Recombinant DNA technology DNA重组技术 Recombination 重组 Recombinant plasma factors 重组血浆因子 Reduction in the number of revertants 回复突变数的减少 Relative plating efficiency 相对接种效率 Relative suspension growth 相对悬浮生长率 Relative total growth 相对总生长率 Relevant animal species 相关动物种属 Relevant dose 相关剂量Relevant factor 相关因素 Repeated-dose toxicity studies 重复剂量毒性研究 Reproductive toxicity 生殖毒性 Reproductive/developmental toxicity 生殖/发育毒性 Reverse mutation 回复突变 Reversibility 可恢复性(可逆性) Risk assessment 危险度评价 Rodent hematopoietic cell 啮齿类动物造血细胞 Route of administration 给药途径 Routine testing 常规试验S9-mix constituent S9混合液成分 Safeguards 安全监测 Safety pharmacology 安全药理学Safety margin 安全范围 Salmonella typhimurium 鼠伤寒沙门菌 Sampling time 采样时间Satellite groups 卫星组 Saturation of absorption 吸收饱和 Sensory functions and reflexes 感觉功能和反射Short term toxicity 短期毒性Short or medium-term carcinogenicity study 短或中期致癌性研究 Short treatment 短期处理 Sighting studies 预试验 Singledose(acute)toxicity 单剂量(急性)毒性 Single study design 单一研究设计 Site-specific targeted delivery 定位靶向释放 Small colony 小集落 Small colony mutant 小集落突变体Soft agar method 软琼脂法 Soluble genotoxic impurity 可溶性遗传毒性杂质 Solvent control 溶剂对照 Somatic cell 体细胞 Somatic cell test 体细胞试验 Species 种属 Specificity 特异性 Species specificity 种属特异性 Spindle apparatus 纺缍体 Stages of reproduction 生殖阶段Standard battery of test 标准试验组合Standard 3-test battery 标准三项试验组合 Standard battery 标准组合 Standard battery system 标准组合系统 Standard procedure 标准规程Standard protocol 标准试验方案Standard set of strains 标准菌株组Standard set of tests 标准试验组 Standard test battery 标准试验组合 Statistical evaluation 统计学评价 Steady-state levels 稳态浓度 Step-by-step 逐步 Stepwise process 阶梯式程序 Strain 品系 Structural changes 结构改变 Structural chromosomal aberration 染色体结构畸变 Subgroups 亚组Supravital staining 体外活动染色 Surface righting reflex 平面翻正反射 Survival 存活率suspension 悬浮物 Systemic exposure 全面接触 Target organs 靶器官 Target cell 靶细胞Target histidine genes 组氨酸目的基因 Target tissue 靶组织Target tissue exposure 靶组织接触 Teratogenic response 致畸胎反应 Terminal sacrifice 终末期处死 Test of carcinogenicity 致癌试验 Test approach 试验方法Test battery approach 试验组合方法 Test compound 受试物 Test model 试验模型 Test strategy 试验策略 Test systems 试验系统 Tester strain 试验菌株 Therapeutic 治疗 Therapeutic confirmatory 疗效确定 Therapeutic exploratory 疗效探索Therapeutic indication 治疗适应证 Time course 时程 Timing conventions 分段计时方法Tissue cross-reactivity 组织交叉反应 Tissue distribution 组织分布 Tissue exposure 组织接触Tissue uptake 组织吸收 Tk locus tk位点 Top concentration 最高浓度 Topical 局部的Topoisomerase inhibitor 拓朴异构酶抑制剂 Total erythrocyte 总红细胞Total litter loss 整窝丢失 Toxicity to reproduction 生殖毒性 Toxicokinetics 毒代动力学(毒物代谢动力学) Transgene 转基因 Transgenic animals 转基因动物 Transgenic plants 转基因植物Translocation 移位 Treatment regimen 实施方案 Tubal transport 输卵管运输 Tumor induction 肿瘤诱导 Tumor response 肿瘤反应 Tumor-related gene 肿瘤相关基因 Two or three phase approach 分段(二段或三段)研究 Two study design 分段(两段)研究设计Ovulation rate 排卵率 Unbound concentration 未结合浓度 Unexpected finding 非预期结果Unscheduled DNA synthesis(UDS) 程序外DNA合成 Unstable epoxide 不稳定过氧代物Whole blood 全血。
SPSS中英文对照词典
SPSS中英文对照词典AAbsolute deviation, 绝对离差Absolute number, 绝对数Absolute residuals, 绝对残差Acceleration array, 加速度立体阵Acceleration in an arbitrary direction, 任意方向上的加速度Acceleration normal, 法向加速度Acceleration space dimension, 加速度空间的维数Acceleration tangential, 切向加速度Acceleration vector, 加速度向量Acceptable hypothesis, 可接受假设Accumulation, 累积Accuracy, 准确度Actual frequency, 实际频数Adaptive estimator, 自适应估计量Addition, 相加Addition theorem, 加法定理Additivity, 可加性Adjusted rate, 调整率Adjusted value, 校正值Admissible error, 容许误差Aggregation, 聚集性Alternative hypothesis, 备择假设Among groups, 组间Amounts, 总量Analysis of correlation, 相关分析Analysis of covariance, 协方差分析Analysis of regression, 回归分析Analysis of time series, 时间序列分析Analysis of variance, 方差分析Angular transformation, 角转换ANOVA (analysis of variance), 方差分析ANOVA Models, 方差分析模型Arcing, 弧/弧旋Arcsine transformation, 反正弦变换Area under the curve, 曲线面积AREG , 评估从一个时间点到下一个时间点回归相关时的误差ARIMA, 季节和非季节性单变量模型的极大似然估计Arithmetic grid paper, 算术格纸Arithmetic mean, 算术平均数Arrhenius relation, 艾恩尼斯关系Assessing fit, 拟合的评估Associative laws, 结合律Asymmetric distribution, 非对称分布Asymptotic bias, 渐近偏倚Asymptotic efficiency, 渐近效率Asymptotic variance, 渐近方差Attributable risk, 归因危险度Attribute data, 属性资料Attribution, 属性Autocorrelation, 自相关Autocorrelation of residuals, 残差的自相关Average, 平均数Average confidence interval length, 平均置信区间长度Average growth rate, 平均增长率BBar chart, 条形图Bar graph, 条形图Base period, 基期Bayes' theorem , Bayes定理Bell-shaped curve, 钟形曲线Bernoulli distribution, 伯努力分布Best-trim estimator, 最好切尾估计量Bias, 偏性Binary logistic regression, 二元逻辑斯蒂回归Binomial distribution, 二项分布Bisquare, 双平方Bivariate Correlate, 二变量相关Bivariate normal distribution, 双变量正态分布Bivariate normal population, 双变量正态总体Biweight interval, 双权区间Biweight M-estimator, 双权M估计量Block, 区组/配伍组BMDP(Biomedical computer programs), BMDP统计软件包Boxplots, 箱线图/箱尾图Breakdown bound, 崩溃界/崩溃点CCanonical correlation, 典型相关Caption, 纵标目Case-control study, 病例对照研究Categorical variable, 分类变量Catenary, 悬链线Cauchy distribution, 柯西分布Cause-and-effect relationship, 因果关系Cell, 单元Censoring, 终检Center of symmetry, 对称中心Centering and scaling, 中心化和定标Central tendency, 集中趋势Central value, 中心值CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测Chance, 机遇Chance error, 随机误差Chance variable, 随机变量Characteristic equation, 特征方程Characteristic root, 特征根Characteristic vector, 特征向量Chebshev criterion of fit, 拟合的切比雪夫准则Chernoff faces, 切尔诺夫脸谱图Chi-square test, 卡方检验/χ2检验Choleskey decomposition, 乔洛斯基分解Circle chart, 圆图Class interval, 组距Class mid-value, 组中值Class upper limit, 组上限Classified variable, 分类变量Cluster analysis, 聚类分析Cluster sampling, 整群抽样Code, 代码Coded data, 编码数据Coding, 编码Coefficient of contingency, 列联系数Coefficient of determination, 决定系数Coefficient of multiple correlation, 多重相关系数Coefficient of partial correlation, 偏相关系数Coefficient of production-moment correlation, 积差相关系数Coefficient of rank correlation, 等级相关系数Coefficient of regression, 回归系数Coefficient of skewness, 偏度系数Coefficient of variation, 变异系数Cohort study, 队列研究Column, 列Column effect, 列效应Column factor, 列因素Combination pool, 合并Combinative table, 组合表Common factor, 共性因子Common regression coefficient, 公共回归系数Common value, 共同值Common variance, 公共方差Common variation, 公共变异Communality variance, 共性方差Comparability, 可比性Comparison of bathes, 批比较Comparison value, 比较值Compartment model, 分部模型Compassion, 伸缩Complement of an event, 补事件Complete association, 完全正相关Complete dissociation, 完全不相关Complete statistics, 完备统计量Completely randomized design, 完全随机化设计Composite event, 联合事件Composite events, 复合事件Concavity, 凹性Conditional expectation, 条件期望Conditional likelihood, 条件似然Conditional probability, 条件概率Conditionally linear, 依条件线性Confidence interval, 置信区间Confidence limit, 置信限Confidence lower limit, 置信下限Confidence upper limit, 置信上限Confirmatory Factor Analysis , 验证性因子分析Confirmatory research, 证实性实验研究Confounding factor, 混杂因素Conjoint, 联合分析Consistency, 相合性Consistency check, 一致性检验Consistent asymptotically normal estimate, 相合渐近正态估计Consistent estimate, 相合估计Constrained nonlinear regression, 受约束非线性回归Constraint, 约束Contaminated distribution, 污染分布Contaminated Gausssian, 污染高斯分布Contaminated normal distribution, 污染正态分布Contamination, 污染Contamination model, 污染模型Contingency table, 列联表Contour, 边界线Contribution rate, 贡献率Control, 对照Controlled experiments, 对照实验Conventional depth, 常规深度Convolution, 卷积Corrected factor, 校正因子Corrected mean, 校正均值Correction coefficient, 校正系数Correctness, 正确性Correlation coefficient, 相关系数Correlation index, 相关指数Correspondence, 对应Counting, 计数Counts, 计数/频数Covariance, 协方差Covariant, 共变Cox Regression, Cox回归Criteria for fitting, 拟合准则Criteria of least squares, 最小二乘准则Critical ratio, 临界比Critical region, 拒绝域Critical value, 临界值Cross-over design, 交叉设计Cross-section analysis, 横断面分析Cross-section survey, 横断面调查Crosstabs , 交叉表Cross-tabulation table, 复合表Cube root, 立方根Cumulative distribution function, 分布函数Cumulative probability, 累计概率Curvature, 曲率/弯曲Curvature, 曲率Curve fit , 曲线拟和Curve fitting, 曲线拟合Curvilinear regression, 曲线回归Curvilinear relation, 曲线关系Cut-and-try method, 尝试法Cycle, 周期Cyclist, 周期性DD test, D检验Data acquisition, 资料收集Data bank, 数据库Data capacity, 数据容量Data deficiencies, 数据缺乏Data handling, 数据处理Data manipulation, 数据处理Data processing, 数据处理Data reduction, 数据缩减Data set, 数据集Data sources, 数据来源Data transformation, 数据变换Data validity, 数据有效性Data-in, 数据输入Data-out, 数据输出Dead time, 停滞期Degree of freedom, 自由度Degree of precision, 精密度Degree of reliability, 可靠性程度Degression, 递减Density function, 密度函数Density of data points, 数据点的密度Dependent variable, 应变量/依变量/因变量Dependent variable, 因变量Depth, 深度Derivative matrix, 导数矩阵Derivative-free methods, 无导数方法Design, 设计Determinacy, 确定性Determinant, 行列式Determinant, 决定因素Deviation, 离差Deviation from average, 离均差Diagnostic plot, 诊断图Dichotomous variable, 二分变量Differential equation, 微分方程Direct standardization, 直接标准化法Discrete variable, 离散型变量DISCRIMINANT, 判断Discriminant analysis, 判别分析Discriminant coefficient, 判别系数Discriminant function, 判别值Dispersion, 散布/分散度Disproportional, 不成比例的Disproportionate sub-class numbers, 不成比例次级组含量Distribution free, 分布无关性/免分布Distribution shape, 分布形状Distribution-free method, 任意分布法Distributive laws, 分配律Disturbance, 随机扰动项Dose response curve, 剂量反应曲线Double blind method, 双盲法Double blind trial, 双盲试验Double exponential distribution, 双指数分布Double logarithmic, 双对数Downward rank, 降秩Dual-space plot, 对偶空间图DUD, 无导数方法Duncan's new multiple range method, 新复极差法/Duncan新法EEffect, 实验效应Eigenvalue, 特征值Eigenvector, 特征向量Ellipse, 椭圆Empirical distribution, 经验分布Empirical probability, 经验概率单位Enumeration data, 计数资料Equal sun-class number, 相等次级组含量Equally likely, 等可能Equivariance, 同变性Error, 误差/错误Error of estimate, 估计误差Error type I, 第一类错误Error type II, 第二类错误Estimand, 被估量Estimated error mean squares, 估计误差均方Estimated error sum of squares, 估计误差平方和Euclidean distance, 欧式距离Event, 事件Event, 事件Exceptional data point, 异常数据点Expectation plane, 期望平面Expectation surface, 期望曲面Expected values, 期望值Experiment, 实验Experimental sampling, 试验抽样Experimental unit, 试验单位Explanatory variable, 说明变量Exploratory data analysis, 探索性数据分析Explore Summarize, 探索-摘要Exponential curve, 指数曲线Exponential growth, 指数式增长EXSMOOTH, 指数平滑方法Extended fit, 扩充拟合Extra parameter, 附加参数Extrapolation, 外推法Extreme observation, 末端观测值Extremes, 极端值/极值FF distribution, F分布F test, F检验Factor, 因素/因子Factor analysis, 因子分析Factor Analysis, 因子分析Factor score, 因子得分Factorial, 阶乘Factorial design, 析因试验设计False negative, 假阴性False negative error, 假阴性错误Family of distributions, 分布族Family of estimators, 估计量族Fanning, 扇面Fatality rate, 病死率Field investigation, 现场调查Field survey, 现场调查Finite population, 有限总体Finite-sample, 有限样本First derivative, 一阶导数First principal component, 第一主成分First quartile, 第一四分位数Fisher information, 费雪信息量Fitted value, 拟合值Fitting a curve, 曲线拟合Fixed base, 定基Fluctuation, 随机起伏Forecast, 预测Four fold table, 四格表Fourth, 四分点Fraction blow, 左侧比率Fractional error, 相对误差Frequency, 频率Frequency polygon, 频数多边图Frontier point, 界限点Function relationship, 泛函关系GGamma distribution, 伽玛分布Gauss increment, 高斯增量Gaussian distribution, 高斯分布/正态分布Gauss-Newton increment, 高斯-牛顿增量General census, 全面普查GENLOG (Generalized liner models), 广义线性模型Geometric mean, 几何平均数Gini's mean difference, 基尼均差GLM (General liner models), 一般线性模型Goodness of fit, 拟和优度/配合度Gradient of determinant, 行列式的梯度Graeco-Latin square, 希腊拉丁方Grand mean, 总均值Gross errors, 重大错误Gross-error sensitivity, 大错敏感度Group averages, 分组平均Grouped data, 分组资料Guessed mean, 假定平均数HHalf-life, 半衰期Hampel M-estimators, 汉佩尔M估计量Happenstance, 偶然事件Harmonic mean, 调和均数Hazard function, 风险均数Hazard rate, 风险率Heading, 标目Heavy-tailed distribution, 重尾分布Hessian array, 海森立体阵Heterogeneity, 不同质Heterogeneity of variance, 方差不齐Hierarchical classification, 组内分组Hierarchical clustering method, 系统聚类法High-leverage point, 高杠杆率点HILOGLINEAR, 多维列联表的层次对数线性模型Hinge, 折叶点Histogram, 直方图Historical cohort study, 历史性队列研究Holes, 空洞HOMALS, 多重响应分析Homogeneity of variance, 方差齐性Homogeneity test, 齐性检验Huber M-estimators, 休伯M估计量Hyperbola, 双曲线Hypothesis testing, 假设检验Hypothetical universe, 假设总体IImpossible event, 不可能事件Independence, 独立性Independent variable, 自变量Index, 指标/指数Indirect standardization, 间接标准化法Individual, 个体Inference band, 推断带Infinite population, 无限总体Infinitely great, 无穷大Infinitely small, 无穷小Influence curve, 影响曲线Information capacity, 信息容量Initial condition, 初始条件Initial estimate, 初始估计值Initial level, 最初水平Interaction, 交互作用Interaction terms, 交互作用项Intercept, 截距Interpolation, 内插法Interquartile range, 四分位距Interval estimation, 区间估计Intervals of equal probability, 等概率区间Intrinsic curvature, 固有曲率Invariance, 不变性Inverse matrix, 逆矩阵Inverse probability, 逆概率Inverse sine transformation, 反正弦变换Iteration, 迭代JJacobian determinant, 雅可比行列式Joint distribution function, 分布函数Joint probability, 联合概率Joint probability distribution, 联合概率分布KK means method, 逐步聚类法Kaplan-Meier, 评估事件的时间长度Kaplan-Merier chart, Kaplan-Merier图Kendall's rank correlation, Kendall等级相关Kinetic, 动力学Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验Kurtosis, 峰度LLack of fit, 失拟Ladder of powers, 幂阶梯Lag, 滞后Large sample, 大样本Large sample test, 大样本检验Latin square, 拉丁方Latin square design, 拉丁方设计Leakage, 泄漏Least favorable configuration, 最不利构形Least favorable distribution, 最不利分布Least significant difference, 最小显著差法Least square method, 最小二乘法Least-absolute-residuals estimates, 最小绝对残差估计Least-absolute-residuals fit, 最小绝对残差拟合Least-absolute-residuals line, 最小绝对残差线Legend, 图例L-estimator, L估计量L-estimator of location, 位置L估计量L-estimator of scale, 尺度L估计量Level, 水平Life expectance, 预期期望寿命Life table, 寿命表Life table method, 生命表法Light-tailed distribution, 轻尾分布Likelihood function, 似然函数Likelihood ratio, 似然比line graph, 线图Linear correlation, 直线相关Linear equation, 线性方程Linear programming, 线性规划Linear regression, 直线回归Linear Regression, 线性回归Linear trend, 线性趋势Loading, 载荷Location and scale equivariance, 位置尺度同变性Location equivariance, 位置同变性Location invariance, 位置不变性Location scale family, 位置尺度族Log rank test, 时序检验Logarithmic curve, 对数曲线Logarithmic normal distribution, 对数正态分布Logarithmic scale, 对数尺度Logarithmic transformation, 对数变换Logic check, 逻辑检查Logistic distribution, 逻辑斯特分布Logit transformation, Logit转换LOGLINEAR, 多维列联表通用模型Lognormal distribution, 对数正态分布Lost function, 损失函数Low correlation, 低度相关Lower limit, 下限Lowest-attained variance, 最小可达方差LSD, 最小显著差法的简称Lurking variable, 潜在变量MMain effect, 主效应Major heading, 主辞标目Marginal density function, 边缘密度函数Marginal probability, 边缘概率Marginal probability distribution, 边缘概率分布Matched data, 配对资料Matched distribution, 匹配过分布Matching of distribution, 分布的匹配Matching of transformation, 变换的匹配Mathematical expectation, 数学期望Mathematical model, 数学模型Maximum L-estimator, 极大极小L 估计量Maximum likelihood method, 最大似然法Mean, 均数Mean squares between groups, 组间均方Mean squares within group, 组内均方Means (Compare means), 均值-均值比较Median, 中位数Median effective dose, 半数效量Median lethal dose, 半数致死量Median polish, 中位数平滑Median test, 中位数检验Minimal sufficient statistic, 最小充分统计量Minimum distance estimation, 最小距离估计Minimum effective dose, 最小有效量Minimum lethal dose, 最小致死量Minimum variance estimator, 最小方差估计量MINITAB, 统计软件包Minor heading, 宾词标目Missing data, 缺失值Model specification, 模型的确定Modeling Statistics , 模型统计Models for outliers, 离群值模型Modifying the model, 模型的修正Modulus of continuity, 连续性模Morbidity, 发病率Most favorable configuration, 最有利构形Multidimensional Scaling (ASCAL), 多维尺度/多维标度Multinomial Logistic Regression , 多项逻辑斯蒂回归Multiple comparison, 多重比较Multiple correlation , 复相关Multiple covariance, 多元协方差Multiple linear regression, 多元线性回归Multiple response , 多重选项Multiple solutions, 多解Multiplication theorem, 乘法定理Multiresponse, 多元响应Multi-stage sampling, 多阶段抽样Multivariate T distribution, 多元T分布Mutual exclusive, 互不相容Mutual independence, 互相独立NNatural boundary, 自然边界Natural dead, 自然死亡Natural zero, 自然零Negative correlation, 负相关Negative linear correlation, 负线性相关Negatively skewed, 负偏Newman-Keuls method, q检验NK method, q检验No statistical significance, 无统计意义Nominal variable, 名义变量Nonconstancy of variability, 变异的非定常性Nonlinear regression, 非线性相关Nonparametric statistics, 非参数统计Nonparametric test, 非参数检验Nonparametric tests, 非参数检验Normal deviate, 正态离差Normal distribution, 正态分布Normal equation, 正规方程组Normal ranges, 正常范围Normal value, 正常值Nuisance parameter, 多余参数/讨厌参数Null hypothesis, 无效假设Numerical variable, 数值变量OObjective function, 目标函数Observation unit, 观察单位Observed value, 观察值One sided test, 单侧检验One-way analysis of variance, 单因素方差分析Oneway ANOVA , 单因素方差分析Open sequential trial, 开放型序贯设计Optrim, 优切尾Optrim efficiency, 优切尾效率Order statistics, 顺序统计量Ordered categories, 有序分类Ordinal logistic regression , 序数逻辑斯蒂回归Ordinal variable, 有序变量Orthogonal basis, 正交基Orthogonal design, 正交试验设计Orthogonality conditions, 正交条件ORTHOPLAN, 正交设计Outlier cutoffs, 离群值截断点Outliers, 极端值OVERALS , 多组变量的非线性正规相关Overshoot, 迭代过度PPaired design, 配对设计Paired sample, 配对样本Pairwise slopes, 成对斜率Parabola, 抛物线Parallel tests, 平行试验Parameter, 参数Parametric statistics, 参数统计Parametric test, 参数检验Partial correlation, 偏相关Partial regression, 偏回归Partial sorting, 偏排序Partials residuals, 偏残差Pattern, 模式Pearson curves, 皮尔逊曲线Peeling, 退层Percent bar graph, 百分条形图Percentage, 百分比Percentile, 百分位数Percentile curves, 百分位曲线Periodicity, 周期性Permutation, 排列P-estimator, P估计量Pie graph, 饼图Pitman estimator, 皮特曼估计量Pivot, 枢轴量Planar, 平坦Planar assumption, 平面的假设PLANCARDS, 生成试验的计划卡Point estimation, 点估计Poisson distribution, 泊松分布Polishing, 平滑Polled standard deviation, 合并标准差Polled variance, 合并方差Polygon, 多边图Polynomial, 多项式Polynomial curve, 多项式曲线Population, 总体Population attributable risk, 人群归因危险度Positive correlation, 正相关Positively skewed, 正偏Posterior distribution, 后验分布Power of a test, 检验效能Precision, 精密度Predicted value, 预测值Preliminary analysis, 预备性分析Principal component analysis, 主成分分析Prior distribution, 先验分布Prior probability, 先验概率Probabilistic model, 概率模型probability, 概率Probability density, 概率密度Product moment, 乘积矩/协方差Profile trace, 截面迹图Proportion, 比/构成比Proportion allocation in stratified random sampling, 按比例分层随机抽样Proportionate, 成比例Proportionate sub-class numbers, 成比例次级组含量Prospective study, 前瞻性调查Proximities, 亲近性Pseudo F test, 近似F检验Pseudo model, 近似模型Pseudosigma, 伪标准差Purposive sampling, 有目的抽样QQR decomposition, QR分解Quadratic approximation, 二次近似Qualitative classification, 属性分类Qualitative method, 定性方法Quantile-quantile plot, 分位数-分位数图/Q-Q图Quantitative analysis, 定量分析Quartile, 四分位数Quick Cluster, 快速聚类RRadix sort, 基数排序Random allocation, 随机化分组Random blocks design, 随机区组设计Random event, 随机事件Randomization, 随机化Range, 极差/全距Rank correlation, 等级相关Rank sum test, 秩和检验Rank test, 秩检验Ranked data, 等级资料Rate, 比率Ratio, 比例Raw data, 原始资料Raw residual, 原始残差Rayleigh's test, 雷氏检验Rayleigh's Z, 雷氏Z值Reciprocal, 倒数Reciprocal transformation, 倒数变换Recording, 记录Redescending estimators, 回降估计量Reducing dimensions, 降维Re-expression, 重新表达Reference set, 标准组Region of acceptance, 接受域Regression coefficient, 回归系数Regression sum of square, 回归平方和Rejection point, 拒绝点Relative dispersion, 相对离散度Relative number, 相对数Reliability, 可靠性Reparametrization, 重新设置参数Replication, 重复Report Summaries, 报告摘要Residual sum of square, 剩余平方和Resistance, 耐抗性Resistant line, 耐抗线Resistant technique, 耐抗技术R-estimator of location, 位置R估计量R-estimator of scale, 尺度R估计量Retrospective study, 回顾性调查Ridge trace, 岭迹Ridit analysis, Ridit分析Rotation, 旋转Rounding, 舍入Row, 行Row effects, 行效应Row factor, 行因素RXC table, RXC表SSample, 样本Sample regression coefficient, 样本回归系数Sample size, 样本量Sample standard deviation, 样本标准差Sampling error, 抽样误差SAS(Statistical analysis system ), SAS统计软件包Scale, 尺度/量表Scatter diagram, 散点图Schematic plot, 示意图/简图Score test, 计分检验Screening, 筛检SEASON, 季节分析Second derivative, 二阶导数Second principal component, 第二主成分SEM (Structural equation modeling), 结构化方程模型Semi-logarithmic graph, 半对数图Semi-logarithmic paper, 半对数格纸Sensitivity curve, 敏感度曲线Sequential analysis, 贯序分析Sequential data set, 顺序数据集Sequential design, 贯序设计Sequential method, 贯序法Sequential test, 贯序检验法Serial tests, 系列试验Short-cut method, 简捷法Sigmoid curve, S形曲线Sign function, 正负号函数Sign test, 符号检验Signed rank, 符号秩Significance test, 显著性检验Significant figure, 有效数字Simple cluster sampling, 简单整群抽样Simple correlation, 简单相关Simple random sampling, 简单随机抽样Simple regression, 简单回归simple table, 简单表Sine estimator, 正弦估计量Single-valued estimate, 单值估计Singular matrix, 奇异矩阵Skewed distribution, 偏斜分布Skewness, 偏度Slash distribution, 斜线分布Slope, 斜率Smirnov test, 斯米尔诺夫检验Source of variation, 变异来源Spearman rank correlation, 斯皮尔曼等级相关Specific factor, 特殊因子Specific factor variance, 特殊因子方差Spectra , 频谱Spherical distribution, 球型正态分布Spread, 展布SPSS(Statistical package for the social science), SPSS统计软件包Spurious correlation, 假性相关Square root transformation, 平方根变换Stabilizing variance, 稳定方差Standard deviation, 标准差Standard error, 标准误Standard error of difference, 差别的标准误Standard error of estimate, 标准估计误差Standard error of rate, 率的标准误Standard normal distribution, 标准正态分布Standardization, 标准化Starting value, 起始值Statistic, 统计量Statistical control, 统计控制Statistical graph, 统计图Statistical inference, 统计推断Statistical table, 统计表Steepest descent, 最速下降法Stem and leaf display, 茎叶图Step factor, 步长因子Stepwise regression, 逐步回归Storage, 存Strata, 层(复数)Stratified sampling, 分层抽样Stratified sampling, 分层抽样Strength, 强度Stringency, 严密性Structural relationship, 结构关系Studentized residual, 学生化残差/t化残差Sub-class numbers, 次级组含量Subdividing, 分割Sufficient statistic, 充分统计量Sum of products, 积和Sum of squares, 离差平方和Sum of squares about regression, 回归平方和Sum of squares between groups, 组间平方和Sum of squares of partial regression, 偏回归平方和Sure event, 必然事件Survey, 调查Survival, 生存分析Survival rate, 生存率Suspended root gram, 悬吊根图Symmetry, 对称Systematic error, 系统误差Systematic sampling, 系统抽样TTags, 标签Tail area, 尾部面积Tail length, 尾长Tail weight, 尾重Tangent line, 切线Target distribution, 目标分布Taylor series, 泰勒级数Tendency of dispersion, 离散趋势Testing of hypotheses, 假设检验Theoretical frequency, 理论频数Time series, 时间序列Tolerance interval, 容忍区间Tolerance lower limit, 容忍下限Tolerance upper limit, 容忍上限Torsion, 扰率Total sum of square, 总平方和Total variation, 总变异Transformation, 转换Treatment, 处理Trend, 趋势Trend of percentage, 百分比趋势Trial, 试验Trial and error method, 试错法Tuning constant, 细调常数Two sided test, 双向检验Two-stage least squares, 二阶最小平方Two-stage sampling, 二阶段抽样Two-tailed test, 双侧检验Two-way analysis of variance, 双因素方差分析Two-way table, 双向表Type I error, 一类错误/α错误Type II error, 二类错误/β错误UUMVU, 方差一致最小无偏估计简称Unbiased estimate, 无偏估计Unconstrained nonlinear regression , 无约束非线性回归Unequal subclass number, 不等次级组含量Ungrouped data, 不分组资料Uniform coordinate, 均匀坐标Uniform distribution, 均匀分布Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计Unit, 单元Unordered categories, 无序分类Upper limit, 上限Upward rank, 升秩VVague concept, 模糊概念Validity, 有效性VARCOMP (Variance component estimation), 方差元素估计Variability, 变异性Variable, 变量Variance, 方差Variation, 变异Varimax orthogonal rotation, 方差最大正交旋转Volume of distribution, 容积WW test, W检验Weibull distribution, 威布尔分布Weight, 权数Weighted Chi-square test, 加权卡方检验/Cochran检验Weighted linear regression method, 加权直线回归Weighted mean, 加权平均数Weighted mean square, 加权平均方差Weighted sum of square, 加权平方和Weighting coefficient, 权重系数Weighting method, 加权法W-estimation, W估计量W-estimation of location, 位置W估计量Width, 宽度Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验Wild point, 野点/狂点Wild value, 野值/狂值Winsorized mean, 缩尾均值Withdraw, 失访YYouden's index, 尤登指数ZZ test, Z检验Zero correlation, 零相关Z-transformation, Z变换。
FDA-The immunogenicity of therapeutic proteins-what you dont know can hurt you and the patient
• Fabry’s disease:
– Patients with α-galactosidase A activity < 0.5 nmol/mg protein/hr developed Nab (10/12) than patients with > 1.1 nmol/mg protein/hr (1/4)
– interactions between antigen presenting cells, T-helper cells, B-cells, and their associated cytokines.
5
Therapeutic Protein Immunogenicity
Therapeutic Adjuvant IAMPs Protein
The immunogenicity of therapeutic proteins- what you don’t know can hurt YOU and the patient
João A. Pedras-Vasconcelos, PhD CMC and Immunogenicity Reviewer Division of Therapeutic Proteins OBP/CDER/FDA SBIA REdI Spring 2014
Evolutionary conserved Limited-specificity PAMPs Adjuvant No long term memory
Polyreactive IgM Abs
B cell
Antigen Ag Presentation
B cell B cell B cell Clonal Specific Memory T cell
T.W. ANDERSON (1971). The Statistical Analysis of Time Series. Series in Probability and Ma
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临床试验中所有涉及到得英文翻译
险分别是:养老保险:单位每个月为你缴纳21%,你自己缴纳8%;医疗保险:单位每个月为你缴纳9%,你自己缴纳2%外加10块钱的大病统筹(大病统筹主要管住院这块);失业保险:单位每个月为你缴纳2%,你自己缴纳1%;工伤保险:单位每个月为你缴纳0.5%,你自己一分钱也不要缴;生育保险:单位每个月为你缴纳0.8%,你自己一分钱也不要缴;住房公积金:单位每个月为你缴纳8%,你自己缴纳8%以上,这么算下来,单位每个月为你缴纳的社保比例应该是21%+9%+2%+0.5%+0.8%+8%=41.3%你自己每个月为你缴纳的社保比例应该是8%+2%+10块+1%+8%=19%+10块statement of agreement 协议声明Participant Information 参加者信息Informed Consent Form 知情同意书Sponsor 申办者Study Site 研究地址approve 批准moderate to severe psoriasis 中度至重度银屑病local operation entity 当地运营实体Research and Development, Inc 研发公司Xian-Janssen Pharmaceutical Ltd 西安杨森制药有限公司the electrical activity of the heartover time心脏随时间推移的电活动be required to fast from food andliquid禁用食物和液体qualitative analysis 定性分析quantitative analysis 定量分析instrumental analysis 仪器分析法flow injection analysis;FIA 流动注射分析法determinate error 可定误差coefficient of variation 变异系数confidence level 置信水平level of significance 显著性水平pooled standard debiation 合并标准偏差(组合标准差)rejection quotient ;Q 舍弃商volumetric analysis 容量分析法titrametric analysis 滴定分析法stoichiometric point 化学计量点equivalent point 等当点charge balance 电荷平衡charge balance equation 电荷平衡式mass balance 质量平衡material balance 物料平衡mass balance equation 质量平衡式acid-base indicator 酸碱指示剂acid-base titrations 酸碱滴定法autoprotolysis reaction 质子自递反应constant 常数proton balance equation 质子条件式colour change interval 变色范围protonic solvent 质子溶剂aprotic solvent 无质子溶剂differentiating effect 均化效应differentiating solvent 区分性溶剂amphototeric solvent 两性溶剂dissociation 离解crystal violet 结晶紫α-naphthalphenol benzyl alcohol 萘酚苯甲醇quinadinered 奎哪啶红thymol blue 百里酚蓝azo violet 偶氮紫bromophenol blue 溴酚蓝compleximetry 配位滴定法ischemic preconditioning 缺血预适应simple ischemia-reperfusion injury单纯缺血与再灌注损伤组groupLeukocyte 白血球Floating gel 漂浮凝胶acid concentration of the medium 介质酸浓度Alginic acid 海藻酸Aluminium hydroxide 氢氧化铝antacid activity 抗酸活性Antacid agent 抗酸剂Anti-reflux agent 抗返流剂benzyl alcohol 苯甲醇blinding agent 粘合剂Bulking agent 填充剂Calcium carbonate 碳酸钙carbonate 碳酸盐combinations 复方Comparative active ingredient活性成分组成的比较compositionsDetermination of pH gradient in vitro 体外PH梯度测定Dextrates 葡萄糖结合剂drug product 制剂drug substance 原料药duration 持续时间Excipients 辅料Filling agent 填充剂Flavour 香精/香料Formation of a floating gel in vitro 漂浮凝胶在体外的形成function of the acid concentration of介质酸浓度函数the mediumGaviscon? tablets Gaviscon?片Glucose monohydrate 一水葡萄糖Granulating agent 制粒溶剂Heavy magnesium carbonate 重质碳酸镁In-house monograph 内部专论Lemon cream flavour 柠檬奶油香精/香料Lubricant 润滑剂magnesium carbonate 碳酸镁magnesium carbonate gel 碳酸镁凝胶magnesium chloride 氯化镁Magnesium stearate 硬脂酸镁Magnesium trisilicate 三硅酸镁Mean “raft” pH平均“筏”PhPeak “intra-gastric” pH胃内峰PHpeppermint flavour 薄荷香料/香精pH gradient pH 梯度pharmaceutical development 制药开发Povidone 聚维酮Quantitative composition 定量组成raft 筏Raft booster 筏推动剂Rennie? Dual Action tablets 罗内?双效片Rennie? Duo, chewable tablets 罗内?Duo咀嚼片Rennie? Duo, oral suspension 罗内?Duo口服混悬剂RENNIE? LIQUID 罗内?液体剂Saccharin sodium 糖精钠Sodium alginate海藻酸钠 Sodium bicarbonate碳酸氢钠 sodium chloride氯化钠 Sodium hydrogen carbonate碳酸氢钠 sodium propyl p-hydroxybenzoate对羟基苯甲酸丙酯钠 stearate硬脂酸盐 Sucrose蔗糖 Sweetener甜味剂 symptomatic treatment症状性治疗 Talc滑石粉 Xanthan gum黄原胶 6-1 :David Grimes 教授演讲部分 long acting contraception长效避孕法 The role of long acting contraception in family planning长效避孕法在计划生育中发挥的作用 long-acting reversible contraception 长效可逆性避孕法 forgettable contraception遗忘式避孕法 overt act专门措施 Coital frequency性交频率 Progestin injection黄体酮注射 Depot medroxyprogesterone acetate 长效醋酸甲羟孕酮(DMPA )Intrauterine Contraception 宫内避孕法 Levonorgestrel Releasing System 左炔诺孕酮释放系统 Levonorgestrel intrauterine system (LNG-IUS)左炔诺孕酮宫内节育系统(LNG-IUS ) Single-rod progestin implant单棒黄体酮植入物 fibroids, hemoglobinopathy纤维瘤,血红蛋白病 surrogate end points替代终点 risk of ectopic pregnancies异位妊娠风险 tubal infertility输卵管性不孕 Gross Removal Rates总取出率 Levonorgestrel IUS左炔诺孕酮IUS Barrier methods屏障法 Venous thromboembolism静脉血栓形成 hysterectomy子宫切除术 endometriosis子宫内膜异位症 perimenopausal symptoms围绝经期症状 Hemoglobin and ferritin血红蛋白和铁蛋白 parous women经产妇 nulliparous women未产妇 menorrhagia / dysmenorrhea 月经过多/痛经uterine involution 子宫复旧Perforation rate 穿孔率Expulsion frequency 排出率estrogen and progesterone receptors 雌激素和孕酮受体expulsion / salpingitis 排出/输卵管炎curettage 刮除术mifepristone 米非司酮Lactation 哺乳期/泌乳partum 分娩spotting and bleeding 出血和点状出血Full breast-feeding 完全母乳喂养antiphospholipid syndrome 抗磷脂综合征anticoagulation 抗凝药estradiol 雌二醇6-2 :Dr. Ritva Hurskainen 演讲部分endometrial resection / ablation 子宫内膜切除/消融术Submucous fibroids 黏膜下纤维化Endometrial polyps 子宫内膜息肉Ovarian tumours or cysts 卵巢肿瘤或囊肿uterine malformation 子宫畸形acne 痤疮Levonorgestrel-ReleasingIntrauterine System左炔诺孕酮宫内缓释系统Health-Related Quality of Life 健康相关生存质量Bladder-emptying 膀胱排空Urge incontinence 尿失禁Stress incontinence 压力性失禁Tranexamic acid 氨甲环酸Norethisterone 炔诺酮Myomectomy or uterine artery embolisation 子宫肌瘤剔除术或子宫动脉栓塞术endometrial ablation 子宫内膜消融术6-2 :Yu Qi 教授演讲部分Heavy menstrual bleeding (HMB) 月经过多 (HMB) injected progestogens 孕激素注射剂Health Economics 卫生经济学Oophorectomy with hysterectomy 卵巢切除术联合子宫切除术Dilatation and curettage 扩刮术Impedance-controlled bipolar 阻抗控制双极射频消融术radiofrequency ablationFluid-filled thermal balloon endometrial ablation (TBEA) 充液热球囊子宫内膜消融术Microwave endometrial ablation(MEA)微波子宫内膜消融术Free fluid thermal endometrial ablation 自由流体热子宫内膜消融术Care Pathway for HMB (1) HMB的诊治路径Intermenstrual bleeding 月经间期出血Anovulatory DUB 无排卵型DUB Ovulatory DUB 排卵型DUB gynecologic complaints 妇科主诉Anti-fibrinolysis drugs 抗纤溶药Endometrial Atrophy Therapy 子宫内膜萎缩疗法Inhibitor of prostaglandin synthesis 前列腺素合成抑制剂Flufenamic Acid 氟芬那酸6-2:Session 4 (Day 2) 部分的词汇menstrual disorders 月经紊乱Cervical glands 宫颈腺体Abortifacient 堕胎者Cervical smears 宫颈涂片Pelvic infection 盆腔感染Valvular heart disease 心脏瓣膜疾病Amenorrhea 闭经Menache 初潮Menstruation 行经Menopause 绝经cyclical norethisterone 环炔诺酮Non steroidal antiinflammatory drugs 非甾体类抗炎药Strong premenstrual symptoms 重度经前症状 (PMS) Contraceptive patch or ring 避孕贴或避孕环Progestin oral pills 孕激素口服片剂drospirenon 屈螺酮Migraine 偏头痛Migraine without aura 无预兆的偏头痛Ovarian cysts 卵巢囊肿flange 凸缘Paracervical blockade 宫颈旁阻滞麻醉Ibuprofen 布洛芬anteverted uterus 前倾子宫retroverted uterus 后倾子宫misoprostol 米索前列醇bleeding pattern 出血模式endometrial hyperplasia 子宫内膜增生tamoxifen 他莫西芬Clin Conf 1 - Contraception &ProfGrimes1 词汇Anovulation 停止排卵Premature ovarian failure 卵巢早衰Hyperprolactinaemia 高泌乳素血症Hypothyroidism 甲减Transvaginal ultrasound 经阴道超声Polycystic ovarian syndrome (PCOS) 多囊卵巢综合征(PCOS) Combined oral contraception 联合口服药避孕说明书Packaging Insert药品名称Article Name通用名称Generic Name汉语拼音Name In Bopomofo成分Ingredients作用类别/主治功能Function and indication 规格Strengths注意事项Precautions药物相互作用Drug Interaction有效期Expire date执行标准Executive Standard国家药品标准National drug standard批准文号Approval Document No 国药准字Guo yao zhun zi修订日期Revision Date生产地址Address of Facility如果有问题Please contact the manufacturer in case of any problem止痒Relieving Itching消炎Diminishing Inflammation非处方non-prescription (OTC) 英文中文Fly Sheet 扉页intra-individually controlled 个体自身对照dose-eomparative 剂量比较open-label 公开标签Clinical trial phase 临床试验阶段diagnostic confidence 诊断置信度qualitative evaluation 定性评价quantitative evaluation 定量评价global evaluation 总体评价physical examination 体格检查Synopsis 纲要confidence intervals. 置信区间Duration of treatment 治疗期/治疗持续时间mode of admin. 给药方式Reference therapy 参照疗法Criteria for evaluation 评价标准Efficacy 有效性signal intensity ratio 信号强度比overall visualization 总体显影c1inieal differenee 临床差异Trial Manager 试验主管Trial Director 试验总监Co-investigator 助理研究者Formulation 制剂Type of formulation 剂型Specific radioactivity 比放射性drug substance 原料药Vehicle composition 赋形剂成分Generic name 通用名Study design and plan 研究设计和计划description of rationale 原理说明Overview and justification 概述和论证Study configuration: 研究结构Level of blinding: 设盲水平Investigational product 试验性药物Interim analyses 中期分析steering committees 指导委员会Protocol amendments 方案修正Sampie size 样本量Molecular weight 分子量Structural formula 结构式Molecular formula: 分子式osmolality 克分子渗透压浓度viscosity 粘度Qualitative evaluation 定量评价localisation of lesion ? 病灶定位visualization of lesion ? 病灶显影characterization of lesion ? 病灶特征记述Equivocal 模糊No contrast 无差异Referral diagnosis 转诊诊断Pre-conifastt MRI diagnosis 增强前MRI诊断Drug relationship 药物相关性Intensity 严重程度Flow chart of trial activities 试验流程图imaging 影像学检查Baseline period 基线期Drop-outs 脱落Deviations from the trial protocol 与试验方案的背离Target variabies 靶变量Disposition of sUbjects 受试者安排Ethnic group 种族Medication history 治疗史Medical and surgical history 病史和手术史abnormal findings 异常发现pulse rate 脉率systolic blood pressure 收缩压diastolic blood pressure 舒张压general appearanee 一般状态primary tumor 原发肿瘤metastases 转移灶multiple sclerosis 多发性硬化症angiography 血管造影myelography 脊髓造影Data sets analyzed 数据组分析Diagnostic confidence: 诊断置信度Optimal injection 最佳注射Overall visualization 总体显影度signal intensity ratio 信号强度比contrast to noise ratio 对比噪声比Total drug exposure 总的药物暴露test article 供试品Text tables 正文表格Box plot 箱线图Scatter diagrams 散点图contrast agents造影剂 efficacy evaluation有效性评价 plain scans平扫 worsened变差 extent of exposure暴露程度 Total drug exposure总的药物暴露 Display and analysis of adverse events 不良事件的陈述和分析 weakness of extension伸展无力 involuntary tremor不自主震颤 tolerance indicators容许指示剂 Title Page标题页 Good Clinical Practice (GCP).药物临床试验质量管理规范(GCP ) Analysis set分析集 Intent - to - treat population意向治疗人群 Preferred population首选人群 Reader 1读片者1 blinded reading盲态读片 False positive lesions假阳性病变 Sensitivity and specificity in liver segment involvement肝段受累的敏感性和特异性 liver lobes肝叶 pooled segments混合段 pre-contrast MRI造影前MRI combined pre-and post MRI联合造影前/后MRI Lesion classification病变分类 lesion type病变类型 Assessment of enhancement增强的评估 (dynamic imaging and hepatocytephase)动态影像和肝细胞相 Signal-to-noise ratio信噪比 Contrast-to-noise ratio对比噪声比 Independent Ethics Committee (IEC) 独立伦理委员会(IEC )Institutional Review Board (IRB)机构审查委员会(IRB ) Ethical conduct伦理学实施 study administrative structure研究行政结构 Comparators对比方法 Prior and concomitant therapy既往和目前的合用药物 Diffuse liver disease弥漫性肝病 Focal liver lesions 肝脏局灶性病变 Trackable/untrackable focal liver 可追踪性/不可追踪性肝lesions脏局灶性病变 Liver maps肝脏图谱 Lesion detection病变检出 Lesion characterization病变鉴定 Morphology形态学 Biliary system imaging增强的评估 Artifacts伪像 pre-contrast T2-weighted sequences 造影前T2加权序列 Intraoperative ultrasound (IOUS)术中超声(IOUS ) Required pulse sequences规定的脉冲序列 Adjustments of image size and contrast 图像大小和对比度的调整 Biliary system imaging胆道系统成像 presence of thrombus有血栓 Adjustments for covariates对协变量的调整 Examination of subgroups亚组检查 Drug-drug and drug-diseaseinteractions药物-药物相互作用和药物-疾病相互作用 specified diffuse liver disease特定弥漫性肝病 matched lesions匹配病变 Number of correctly and incorrectly classified lesions正确和错误分类病变的数量 Mass Effect占位效应 Enhancement patterns 增强模式 New Atrial Extrasystoles Postbaseline 基线后新出现房性期外收缩New Ventricular ExtrasystolesPostbaseline基线后新出现室性期外收缩 PRODUCT MONOGRAPH药品专论 Intravenous contrast enhancement agent for magnetic resonance imaging (MRI)静脉注射的磁共振成像(MRI )造影剂 Submission Control No:提交文件控制号 Elimination清除 Hepatic Insufficiency肝功能不全 DOSAGE FORMS, COMPOSITION ANDPACKAGING剂型、成分和包装 Proper name专有名称 Physical form外观 Solubility溶解性 pH in water水溶液的pH Osmolality 渗透压Density密度 Bi-phasic enhanced spiral CT双相增强螺旋CT Animal Pharmacology动物药理学 Human Pharmacology人体药理学 Insufficiency功能不全 Repeated-Dose Toxicity多次给药毒性 Genotoxic Potential遗传毒性可能性 Tumorigenicity and Carcinogenicity 致肿瘤性和致癌性 Reproductive Toxicology生殖毒理学 Local Tolerance and SensitizingPotential局部耐受性和致敏可能性 Formulation number制剂编号 Substance code number原料药代码编号 specifications规格 release date发布日期 This edition supersedes替代版本 Property of Bayer Schering Pharma 所有权归Bayer ScheringPharma 所有Physical, chemical and pharmaceutical properties and formulation 物理、化学以及药理学特性和剂型Description of Drug Substance 药品说明Product interaction 产品相互作用Special Populations 特殊人群Mean (SD) serum concentrations 平均(SD )血清浓度fecal excretion 粪便排泄量compartment model dependent (CMD ) 间室模型依赖 renal clearance 肾清除率total clearance 总清除率beats per minute(bpm) 每分钟心跳次数end stage renal failure (ESRF ) 终末阶段肾衰focal nodular hyperplasia(FNH) 局灶结节性增生field of view(FOV) 视野gradient echo(GRE) 梯度回波Hoechst Adverse Events Reaction Thesaurus System(HARTS) Hoechst 不良事件反应词典系统Gd-EOB-DTPA 钆-EOB-DTPA ,钆塞酸high pressure liquidchromatography(HPLC)高压液相色谱 Inductively Coupled Plasma Atomic Emission Spectroscopy(ICPAES )电感耦合等离子体原子发射光谱法 Specific Rotation 比旋光度Partition Coefficient 分配系数Time Profile 时间特征Elimination Profile 消除曲线Biotransformation 生物转化volume of distribution at steady state 稳态下分布体积repetition time 保留时间time of echo 回声时间terminal half-life 终末半衰期initial half-life 初始半衰期no observable effect level 不可观察的反应水平microsoft disk operating system 微软磁盘操作系统mean residence time 平均停留时间magnetic resonance imaging 磁共振成像magnetic resonance 核磁共振minimum lethal dose 最低致死剂量Medical Dictionary for Regulatory国际医学用语词典Activitiesmean corpuscular volume 平均血细胞体积mean corpuscular hemoglobin 红细胞平均血红蛋白含量Intraoperative ultrasound 术中超声医学英语中的缩写词aa——各et——及、和Rp.——取、请取sig./S.——用法、指示St./Stat.——立即、急速Cit.——急速s.o.s.——需要时p.r.n——必要时a.c.——饭前p.c.——饭后a.m.——上午p.m.——下午q.n.——每晚h.s.——睡前q.h.——每小时q.d.——每日1次B.i.d.——每日2次T.i.d.——每日3次Q.i.d.——每日4次q.4h.——每4小时1次p.o.——口服ad us.int.——内服ad us.ext.——外用H.——皮下注射im./M.——肌肉注射iv./V.——静脉注射iv gtt.——静脉滴注Inhal.——吸入O.D.——右眼O.L.——左眼O.S.——单眼O.U.——双眼No./N.——数目、个s.s——一半ug.——微克mg.——毫克g.——克kg.——千克(公斤)ml.——毫升L.——升q.s——适量Ad.——加至Aq.——水Aq.dest.——蒸馏水Ft.——配成Dil——稀释M.D.S.——混合后给予Co./Comp.——复方的Mist——合剂Pulv.——散剂Amp.——安瓿剂Emul.——乳剂Syr.——糖浆剂Tr.——酊剂Neb.——喷雾剂Garg.——含漱剂rtt./gutt.——滴、滴眼剂collyr.——洗眼剂Ocul.——眼膏Liq.——溶液剂Sol.——溶液Lot.——洗剂Linim.——擦剂Crem.——乳膏剂(冷霜)Ung.——软膏剂Past.——糊剂Ol.——油剂Enem.——灌肠剂Supp.——栓剂Tab.——片剂Pil.——丸剂Caps.——胶囊剂Inj.——注射剂。
QuickExtract
QuickExtract – Rapid and efficient extraction of PCR-ready genomic DNA from plant and seed samplesMike Freeman MD, Luke Linz PhD; LGC, Biosearch T echnologies, Alexandria, USAIntroductionThe ability to rapidly screen large populations is vital for breeding and characterisation of transgenic plants. Genotyping by methods based on BHQ™ Probes or KASP™ arewidespread but generally require nucleic acid purification. A more cost-effective and less time-consuming approach is needed. The QuickExtract™ Plant DNA Extraction Solution provides a simple, rapid DNA extraction method to prepare genomic DNA for high-throughput processing. It is used for leaf or seed samples. The extracted DNA is ready for amplification-based analyses.The extraction requires less than ten minutes to prepare PCR-quality DNA with two simple heating steps (see Figure 1). The procedure is convenient and can easily be scaled to process hundreds of samples in multi-well robotic automation systems.This application note demonstrates the suitability of using the QuickExtract Plant DNA Extraction Solution for multiple plant species. The requirement for grinding is also investigated. Genotyping results are shown for KASP and BHQ Probes. In addition, the effect of storage on the quality of the extracted DNA was determined.Application noteFigure 1. Overview of the QuickExtract workflow. After the two heating steps, the released DNA can be used directly for amplification-based analysis, stored at +4 °C for four weeks, or transferred to -20 °C for archival purposes.Heat at 65 °C for 8 minutesAdd samplesQuickExtract Plant Solution PCR-ready DNAQuickExtract is part of the Epicentre™ product line, known for its unique genomics kits, enzymes, and reagents which offer high quality and reliable performance.Materials, methods and resultsa) Determination of the impact of grinding Whole seeds from wheat, tomato, pepper and hulled sunflower were ground or incubated whole with QuickExtract Plant DNA Extraction Solution – 100 µL of QuickExtract Solution was added to tomato and pepper seeds, 200 µL was added to wheat seeds, and 300 µL was used for sunflower seeds. The processed samples were diluted 1:4 or 1:16 prior to PCRamplification with KASP on the IntelliQube™. Genotyping results of the four plant species are shown in Figure 2. Grinding had little to no effect on cluster plot analysis for tomato and sunflower seeds. However, grinding was required for amplification of QuickExtracted DNA from wheat seeds and inhibitory for PCR with pepper seeds. The decision whether to grind a seed sample or perform theextraction on whole seeds must be determined empirically.genomic DNA from plant and seed samples4x d i l u t i o n16x d i l u t i o nWheatT omatoSunflowerPepperGround SeedWhole SeedNTCFigure 2. The effect of grinding seed material. Wheat, T omato, Sunflower and Pepper seeds were ground (red circles) or extracted whole (blue circles) with QuickExtract Plant DNA Extraction Solution. Samples were diluted 4-fold (top) or 16-fold (bottom) prior to PCR amplification with KASP on the IntelliQube. Water was used as a negative control (NTC).genomic DNA from plant and seed samplesT able 1. Sample and pre-treatment of validated crops, seeds or leaves, grinding requirement conditions, starting weight and volume of required QuickExtract solution. The guidelines show how much tissue to use, and whether grinding the sample must be determined empirically for each plant species and tissue type. For reference, one punch is 6 mm in diameter. Additional optimisation may be required.b) Evaluation of BHQ and KASP chemistries for eight commercially important crop types QuickExtract Plant DNA Extraction Solution was added to samples of seed or leaf material of eight crop types – Corn, Wheat, Rapeseed, Soy, Tomato, Pepper, Cotton, and Sunflower.Extracts were incubated as in Figure 1,diluted 2- to 8-fold, and PCR amplified on the IntelliQube with KASP and BHQ chemistries. Table 1 lists the crops tested, sample type, grinding requirements, starting weight of the sample and volume of QuickExtract Plant DNA Extraction Solution used.c) Stability of extracted DNA for at least 4 weeks at +4 ˚CWe assessed the stability of the extracted DNA. Corn and tomato leaf samples were processed with the QuickExtract Plant DNA Extraction Solution. The DNA was PCRamplified using two different KASP assays for each crop type. Amplifications were performedimmediately after sample processing. Sample plates were stored at +4 °C. After one month of storage at +4 °C the amplifications were repeated. Figure 4 shows a comparison of the genotyping data, using the original QuickExtract Plant DNA Extraction Solution lysate, and the same QuickExtract lysate one month later. No significant difference in endpoint signal or cluster quality was observed.Figure 3. Cluster plots for KASP and BHQ chemistries. Results are shown using seven different crops – T omato, Rapeseed, Corn, Pepper, Wheat, Sunflower, and Soy. Analyses were performed using KASP and BHQ Probes.T omato RapeseedCornPepperWheatSunflowerSoyB H Q K A S PL e a f L e a fS e e d S e edgenomic DNA from plant and seed samplesO r i g i n a l1 m o n t hCorn assay 1Corn assay 2T omato assay 1Tomato assay 2Figure 4. Stability of DNA stored at 4 ˚C. DNA extracted from corn and tomato with QuickExtract was PCR amplified (original) with two KASP assays and then stored at 4 °C for 1 month. The samples were then again PCR amplified against the same two assays (1 month).ConclusionThe QuickExtract Plant DNA Extraction Solution allows for fast and simple genotyping of plant samples. Tomato and sunflower seeds allow genotyping without grinding. Wheat seeds required grinding for amplification, whereas grinding of pepper seeds was inhibitory for PCR. Leaf material for these crops showed similar results for the seed material (data not shown). We recommend that the necessity or requirement for grinding be determined for each sample type. Also, performing serial dilutions of the QuickExtract extract aftersample processing is advised, for example 1:4, 1:8, 1:16, to determine the optimal amount of processed sample volume for your downstream application. Finally, it is important to emphasise that seeds must be cleaned efficiently ifgenotyping, since interpretation of results may be complicated by any non-plant material adhering to the seed coat.Results show that the QuickExtract Plant DNA Extraction Solution may be used to extract DNA from leaf or seed material from multiple types of plants for endpoint PCR applications. Good genotyping results and clusters, usingKASP and BHQ Probes for different plant species, were generated. Parameters to be considered for each crop and sample (leaf or seed) are: initial sample mass, whether grinding is necessary, volume of the QuickExtract Plant DNA Extraction Solution required and dilution of the QuickExtracted sample to use for the assay.In addition, it was shown that very goodgenotyping results can be achieved even after storing the original lysate four weeks at +4 °C. This application note shows that QuickExtract Plant DNA Extraction Solution provides a fast and simple method to prepare genomic DNA for KASP genotyping, or use of BHQ Probes – all in a single tube, without the use of toxic chemicals, columns or precipitation and resuspension steps. The method isideally suited to high-throughput applications employing a liquid handler combined with the use of a programmable heating block or water bath.genomic DNA from plant and seed samplesIntegrated tools. Accelerated science.For Research Use Only. Not for use in diagnostic procedures.All trademarks and registered trademarks mentioned herein are the property of their respective owners. All other trademarks and registered trademarks are the property of LGC and its subsidiaries. Specifications, terms and pricing are subject to change. Not all products are available in all countries. Please consult your local sales representative for details. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording or any retrieval system, without the written permission of the copyright holder. © LGC Limited, 2019. All rights reserved. GEN/0581/MW/0619@LGCBiosearch。
基因毒性杂质之结构警示(欧洲)
EUR 23844 EN -2009Development of structural alerts for the in vivo micronucleus assay inrodentsRomualdo Benigni a , Cecilia Bossa a , Olga Tcheremenskaia aand Andrew Worthb aIstituto Superiore di Sanita’, Environment and Health Department,Rome, Italy b Institute for Health & Consumer Protection, European Commission -Joint Research Centre, Ispra, ItalyThe mission of the IHCP is to provide scientific support to the development and implementation of EU policies related to health and consumer protection.The IHCP carries out research to improve the understanding of potential health risks posed by chemical, physical and biological agents from various sources to which consumers are exposed.European CommissionJoint Research CentreInstitute for Health and Consumer ProtectionContact informationAddress: TP 582E-mail: andrew.worth@ec.europa.euTel.: +39 0332 789566Fax: +39 0332 786717http://http://ecb.jrc.ec.europa.eu/qsar/http://ec.europa.eu/dgs/jrc/Legal NoticeNeither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication.A great deal of additional information on the European Union is available on the Internet.It can be accessed through the Europa serverhttp://europa.eu/JRC 52274EUR23844 ENISSN 1018-5593Luxembourg: Office for Official Publications of the European Communities© European Communities, 2009Reproduction is authorised provided the source is acknowledgedPrinted in ItalyABSTRACTIn vivo mutagenicity and carcinogenicity studies are posing a high demand for test-related resources. Among these studies, the micronucleus test in rodents is the most widely used, as follow up to positive in vitro mutagenicity results. A recent survey of the (Q)SAR models for mutagenicity and carcinogenicity has indicated that no (Q)SAR models for in vivo micronucleus are available in the public domain. Therefore, the development and extensive use of estimation techniques such as (Q)SARs, read-across and grouping of chemicals, promises to have a huge animal saving potential for this endpoint. In this report, we describe the identification of structural alerts for the in vivo micronucleus assay, and provide the list of underlying chemical structures. These structural alerts provide a coarse-grain filter for the preliminary screening of potential in vivo mutagens.LIST OF ABBREVIATIONSEPA Environmental Protection AgencyEU European UnionFDA Food and Drug AdministrationHOMO Highest Occupied Molecular OrbitalISS Istituto Superiore di Sanita’JRC Joint Research CentreLUMO Lowest Unccupied Molecular OrbitalOECD Organisation for Economic Cooperation and Development(Q)SAR(Quantitative)Structure-Activity RelationshipREACH Registration Evaluation and Authorisation of CHemicalsROC Receiver Operating CurveSA Structural AlertSA_BB Benigni-Bossa structural alerts for mutagnicity /carcinogenicity in ToxtreeSA_Mic Structural alerts refers for the in vivo micronucleus assay inToxtreeSA_Prot Structural alerts for protein binding in the OECD QSAR ToolboxCONTENTS1.Introduction (6)2.Structural alerts (8)3.Development of structural alerts for the in vivo micronucleus assay (10)4. Final considerations (20)5.References (21)Appendix 1 (23)1.IntroductionMutagenicity testing is an important part of the regulatory hazard assessment of chemicals. It is undertaken for two main reasons: a) to detect chemicals that might cause genetic damage in germ cells, and thus increase the burden of heritable (genetic) disease in the human population; and b) to detect chemicals that might be carcinogenic (based on the assumption that mutagenesis, for example in somatic cells, is a key event in the process of carcinogenesis). Since no method is able alone to detect all possible genotoxic events, a wide array of test systems has been developed and accepted internationally in regulatory schemes.Most often, these methods are used within a 2-tiered integrated testing approach: Tier 1 includes in vivo assays, and Tier 2 includes in vivo assays. As a matter of fact, mutagenicity testing was the first toxicity endpoint for which in vivo assays were accepted for regulatory testing, some 25 years ago. The latter usually comprise bacterial mutagenicity and cytogenetics tests, although gene mutation testing in cultured mammalian cells is sometimes also undertaken.Tier 2 of the testing strategy involves the use of short-term in vivo studies (usually a bone-marrow cytogenetics assay) to assess whether any potential for genotoxicity detected at the Tier 1 in vivo stage is actually expressed in the whole animal. Thus, negative results in vivo are usually considered sufficient to indicate lack of mutagenicity, whereas a positive result is not considered sufficient to indicate that the chemical represents a mutagenic hazard (i.e. it could be a false positive). The above approach to genotoxicity testing has been adopted throughout the EU1,and has been recommended internationally as part of the strategy for predicting and quantifying mutagenic and carcinogenic hazard (Ashby et al.,1996; Combes et al.,2007; Kirkland and Speit,2008; Lilienblum et al.,2008).1http://guidance.echa.europa.eu/docs/guidance_document/information_requirements_r7a_en.p df?vers=20_08_08According to an assessment carried out by the former European Chemicals Bureau (ECB), the in vivo mutagenicity studies, shortly followed by carcinogenicity, are posing high demand for test-related recourses (Pedersen et al.,2003; Van der Jagt et al.,2004). Among those, the micronucleus test in rodents is the most widely used, as follow up to positive in vivo mutagenicity results. A recent survey of the (Q)SAR models for mutagenicity and carcinogenicity (performed jointly by ISS and the JRC) has indicated that no (Q)SAR models for in vivo micronucleus are available in the public domain (Benigni et al.,2007): therefore, the development and extensive use of estimation techniques such as (Q)SARs, read-across and grouping of chemicals, might have a huge saving potential for this endpoint.In this report, we describe: a) the collection of data on chemicals tested with the in vivo micronucleus assay; b) preliminary analyses of the data; c) the identification of Structural Alerts (SA) proper to this toxicological endpoint. First, some background information on the concept of SA is provided.2.Structural alertsThe SAs for a toxicological endpoint are molecular functional groups or substructures known to be linked to that type of toxicity.The SAs are a coarse-grained approach to the use of Structure-Activity Relationships (SAR) to understand the toxicity mechanisms and to predict the toxic activity of chemicals. Because of their nature, the SAs have the role of pointing to chemicals potentially toxic, whereas no conclusions or indications about nontoxic chemicals are possible (except by exclusion) (Benigni and Bossa,2006; Benigni and Bossa,2008).A set of chemicals characterized by the same SA constitute a family (class) of compounds that share the same mechanism of action. The reactivity of a SA can be modulated or abolished by the remaining part of the molecule in which the SA is embedded. At a coarse-grain level, such modulating effects can be represented by other molecular substructures (e.g., bulky groups ortho to an aromatic amine group) that are known to have an influence on the reactivity of the SA. Usually, the knowledge on the modulating substructures is quite limited for most of the SAs, thus it provides limited help in deciding which chemicals in a class will actually be toxic and viceversa. A powerful generalization of the Structure-Activity Relationships is provided by the Quantitative Structure-Activity Relationship (QSAR) analysis, which produces a mathematical model that links the biological activity to a limited number of physical chemical or other molecular properties (descriptors) with general relevance. Since most of the descriptors have continuous values, the QSARs provide fine-tuned models of the biological activity,and can give account of subtle differences. General introductions on QSAR are given elsewhere (Hansch and Leo, 1995, Hansch et al.,2002). Thus the SAs are not a discriminant model on the same ground of the QSAR models: the latter produce estimates for both positive and negative chemicals, as well as for the gradation of toxic potency.The main role of the SAs is that of preliminary, or large-scale screenings. They are excellent tools for coarse-grain characterization of chemicals, including: description of sets of chemicals, preliminary hazard characterization, category formation and priority setting (enrichment). Since fine-tuned QSARs do not exist for many types of chemicals, the models based on SAs hold a special place in predictive toxicology. Theknowledge on the action mechanisms as exemplified by the SAs is routinely used in SAR assessment in the regulatory context (see, for example, the mechanistically-based reasoning as presented in Woo et al. (2002). In addition, the SAs are at the basis of popular commercial (e.g., DEREK, by Lhasa Ltd.2) and non-commercial software systems (e.g., Oncologic, by US Environmental Protection Agency[EPA]3).Recently, as follow-up of the collaboration between ISS and JRC,a rulebase for mutagens and carcinogens has been designed and implemented in the software Toxtree 1.51. It uses a structure-based approach consisting of a new compilation of SAs for carcinogenicity and mutagenicity. It also offers three mechanistically based QSARs for congeneric classes (aromatic amines and aldehydes) (Benigni et al., 2008a). Toxtree 1.51 is freely available from the JRC website.42/3/oppt/newchems/tools/oncologic.htm4http://ecb.jrc.ec.europa.eu/qsar/qsar-tools/index.php?c=TOXTREE3.Development of structural alerts for the in vivomicronucleus assay3.1 DataThe compilation of SAs for the in vivo micronucleus assay in rodents provided here, is based on both the existing knowledge on the mechanisms of toxic action and a structural analysis of the chemicals tested in the assay.The in vivo micronucleus data in the public domain is quite limited. A search of the Chemical Carcinogenesis Research Information System(CCRIS) at the Toxnet website with the query: “in vivo micronucleus” points only to 240 chemicals.5For this work, the remarkably larger commercial database by Leadscope Inc., called “FDA SAR Genetox Database” was used.6This database contains more than 700 chemicals tested in in vivo micronucleus with rodents, and includes data from both the public domain and the US Food and Drug Administration (FDA) files. A large majority of data were based on the analysis of micronuclei in bone marrow cells; for details on the technique, see for example, Krishna and Hayashi (2000).3.1 Preliminary analysesSince the main role of the in vivo micronucleus assay in regulatory schemes is that of confirming (or disproving) the positive in vitro results, it is of interest to check how the in vivo micronucleus results relate to the rodent carcinogenicity data and to the primary in vitro prediction test, i.e., the Salmonella typhimurium(Ames) test.Tables I and II display the relationships between the in vivo micronucleus ad the two reference tests. The results for rodent carcinogenicity and the Ames test were retrieved from the freely available ISSCAN v3a database,7which is characterized by:5/cgi-bin/sis/search6/product_info.php?products_id=777http://www.iss.it/ampp/dati/cont.php?id=233&lang=1&tipo=7a) the high quality of both chemical and biological information; b) the QSAR-ready format (Benigni et al.,2008b). Obviously, the total numbers of chemicals in the two tables are relative only to those chemicals tested in both systems.Table I. Contingency table comparing the results of the rodent carcinogenicity testwith the micronucleus testTable II:Contingency table comparing the results of the Salmonella typhimuriumassay with the micronucleus testTable I shows that is the in vivo micronucleus assay is poorly sensitive to the rodent carcinogens: about 60% of the rodent carcinogens are not detected by the micronucleus. The poor sensitivity of the micronucleus assay to potential genotoxins is also apparent from Table II.It should be emphasized that the present results obtained with the large Leadscope micronucleus database are in agreement with previous analyses based on smaller datasets in the public domain (Benigni,1995).In a second round of analyses, the extent to which the micronucleus data are related to well established indicators of DNA and protein binding was checked. This in view of the plethora of the reported mechanisms of micronucleus induction. As a matter of fact, micronuclei are markers of both aneugenic (change in the chromosomes number, usually by loss) and clastogenic (chromosome breakage) effects. It is generally assumed that such effects are generated through a range of different pathways. Evidence (mainly gathered from in vitro studies) indicates that micronuclei can be induced e.g., by typical DNA-attacking agents (e.g., alkylating agents like methylmethane sulfonate), by mitotic spindle poisons (e.g., colcemide, vincristine), or by inhibitors of cytokinesis (e.g., cytochalasin B). The latter effects are probably due to interference with proteins. Other chemicals are thought to be clastogenic through aspecific disturbance of cytokinesis due to lipophilicity (Dorn et al.,2007).The relative influence of DNA and protein binding on micronucleus generation was checked by recording the distribution of structural alerts for the two effects in the Leadscope in vivo micronucleus database. As probes for DNA binding, we used the structural alerts for carcinogenicity / mutagenicity implemented in Toxtree 1.51. As a matter of fact, the large majority of these alerts refer to genotoxic carcinogenicity, which is assumed to be caused through direct interaction with DNA (Benigni and Bossa, 2008). As probes for protein binding, we used the alerts implemented in the Organisation for Economic Cooperation and Development (OECD) QSAR Toolbox.8 These alerts were mainly developed from the mechanistic knowledge on skin sensitization, and model the covalent binding to proteins.The results of the above analysis is displayed in Figure 1 as a ROC graph. It appears that the structural alerts for carcinogenicity /mutagenicity correlate to some extent with the induction of micronuclei, whereas those for protein covalent binding show no correlation (in the graph, they are on the diagonal line which represents random results).8/document/23/0,3343,en_2649_34379_33957015_1_1_1_1,00.htmlFigure 1. Receiver Operating Curve showing the concordance of two sets of structural alerts with the results of the in vivo micronucleus assay(SA_BB refers to the Benigni-Bossa alerts in Toxtree; SA_Prot refers to the alerts for proteinbinding in the OECD QSAR Toolbox)3.3 Structural Alerts for in vivo micronucleus assaySince the above analyses pointed to genotoxic effects as an important determinant of micronuclei induction, we developed the list of Structural alerts for in vivo micronucleus using the carcinogenicity / mutagenicity alerts in Toxtree as a core , and then searching for additional substructures specific to the micronucleus-positive chemicals. From the Toxtree alerts for carcinogenicity / mutagenicity,we excluded four alerts specific for non-genotoxic mechanisms of carcinogenicity.Using linear discriminant analysis as an analytical tool and ROC plots as a graphical tool, a series of additional substructures were added / removed to / from the Toxtreealerts in order to increase sensitivity and specificity.In these exploratory analyses, wescreened the very large collection of substructural patterns and functional groups (more than 27,000) contained in the software Leadscope Enteprise 2.4.15-6. We also re-checked the Toolbox protein binding alerts for individual substructures related with micronucleus induction.The result is the optimized list of alerts in Appendix 1. Together with the Toxtree alerts, it contains five additional substructures identified in the course of this research. For the sake of clarity,the codes of the alerts in Toxtree are maintained, whereas the five additional alerts have new codes.Figure 2 displays the agreement between the alerts for in vivo micronucleus, and the experimental results for this endpoint. Out of 547 negatives, the specificity of the SAs is 0.57. The sensitivity is 0.65 out of 182 positives. The overall accuracy is 0.59. For a comparison, the ROC graph shows the newly developed alerts for micronucleus together with those for DNA and protein binding. It appears that the performance of the final list of alerts is considerably higher than that of the DNA binding and Protein binding alerts.Table III gives the true positive rate for the individual alerts.Figure 2 Receiver Operating Curve showing the concordance of structural alerts for the in vivo micronucleus assay with the experiemtnal results for this assay(SA_Mic refers to the in vivo micronucleus alerts in Toxtree)Table III: Characterisation of Structural Alerts.3.4 Further analyses on the alerts for micronucleusA striking evidence in Table III is the relatively low percentage of true positives identified by many SAs. In other words, often the toxic potential of the alerts is not translated into actual toxicity in the experimental system. For a comparison, the True Positive Rate of the various alerts for mutagenicity /carcinogenicity in Toxtree is remarkably higher, ranging from 70 to 100% (Benigni and Bossa,2008).The above result contributes to better understand the evidence in Tables I and II, where it appears that the micronucleus assay has many more negatives than the carcinogenicity bioassay and the Salmonella mutagenicity test. Table III indicates that the low sensitivity of the micronucleus assay is largely due to the fact that often,chemical functionalities and substructures which are supposed to be reactive do not exert their potential reactivity in this experimental system.The issue of the low sensitivity of the micronucleus assay has been recognized by scientists involved in research aimed at improving the available short-term mutagenicity assays; as a matter of fact, validation of further, more sensitive in vivo assays (e.g., in vivo Comet assay) is presently in progress (Kirkland and Speit,2008).In the context of this research, we investigated if a general effect of bioavailability on the limited sensitivity of micronucleus was apparent. To this aim, we considered two chemical descriptors well known as to be linked to bioavailability: logP (hydrophobicity) and Molar Refractivity (MR) (Hansch and Leo,1995). The two descriptors were calculated with the C-QSAR software (Daylight, Inc.)9for all the chemicals in the micronucleus database. For the two parameters, Table IV reports the ranges of values for positive and negative micronucleus results.Table IV: Ranges of C-logP and C-MR in chemicals assayed withthe micronucleus testIt appears that the micronucleus positives cover a more limited range of logP values than the micronucleus negatives; however, the consideration of exclusion values for logP in combination with the SAs did not improve the overall performance (results not shown).Whereas no general effect of logP (or MR) was found, analyses on the individual chemical classes showed that logP cut-offs can be identified for the classes of Nitroaromatics (Negatives at logP > 0.0), Aromatic Diazo (Negatives at logP < 3.7),9/about/index.htmland Oxolanes (Negatives at logP > 1.5). The consideration of these cut-offs increases the specificity of the SAs from0.57 to 0.60.The above result suggests a possible strategy to understand and modeling the many negative results observed with the micronucleus. Since the bone marrow (main target of the test) is an organ easily accessible by the blood stream, it can be hypothesized that the lack of effect shown by several chemicals with SAs (hence potentially reactive) is due to the many possible targets for reaction encountered in the in vivo situation; this diminishes the probability for the chemicals of reaching, and interacting with the molecular target(s) of the micronucleus test. For example, highly reactive chemicals will probably react with any target encountered in their way (e.g., proteins, water)before reaching the bone marrow. Thus it can be envisaged that QSARs for individual chemical classes should be developed, and that they should consider parameters linked to chemical reactivity(such as HOMO and LUMO energies). It can be hypothesized that the models derived from these QSARs will contribute to modulate the individual SAs.4. Final considerationsStructural alerts point to classes of chemicals with the potential to cause toxic effects (here, in vivo micronucleus). Since this potential is modulated in each molecule by the rest of the structure (e.g., other functional groups, electronic structure, bulky groups), not all chemicals in a class are equally toxic. In the case of the SAs identified in the present study for the in vivo micronucleus test, the percentage of chemicals that have SAs but are not active in the test system is particularly high. This evidence agrees with, and rationalizes the notion that this test system is sensitive to genotoxins to a limited extent, and does not respond to a large number of recognized carcinogens and mutagens. For this reason, a positive in vivo micronucleus result adds a strong weight to an in vivo positive mutagenicity result, whereas a negative in vivo micronucleus result has a much lower relevance. The availability of a wider range of in vivo mutagenicity assays is a priority for the present regulatory strategies.Within the above perspective, the SAs identified in this study provide a coarse-grain filter for a preliminary screening of potentially in vivo mutagens. In a risk assessment process, further information(e.g., QSARs for individual classes, experiments) is necessary to complete this initial screening step.5.ReferencesAshby,J., M.D.Waters, J.Preston, I.D.Adler, G.R.Douglas, R.Fielder, M.D.Shelby,D.Anderson, T.Sofuni, H.N.B.Gopalan, G.Becking and C.Sonich-Mullin(1996). IPCS harmonization of methods for the prediction and quantification of human carcinogenic/mutagenic hazard, and for indicating the probable mechanism of action of carcinogens. Mutat.Res./Fundamental and Molecular Mechanisms of Mutagenesis. 352:153-157.Benigni,R. (1995). Mouse bone marrow micronucleus assay: relationships with in Vitro mutagenicity and rodent carcinogenicity. J.Toxicol.Environ.Health.45:337-347.Benigni,R. and C.Bossa(2006). Structural alerts of mutagens and carcinogens.put.-Aid.Drug Des.2:169-176.Benigni,R. and C.Bossa(2008). Structure Alerts for carcinogenicity,and the Salmonella assay system: a novel insight through the chemical relational databases technology. Mutat.Res.Revs.659:248-261.Benigni,R., C.Bossa, N.G.Jeliazkova, zeva and A.P.Worth(2008a). The Benigni / Bossa rulebase for mutagenicity and carcinogenicity -a module of Toxtree. JRC Report EUR 23241 EN. European Commission Joint Research Centre, Ispra, Italy.http://ecb.jrc.ec.europa.eu/DOCUMENTS/QSAR/EUR_23241_EN.pdfBenigni,R., C.Bossa, A.M.Richard, and C.Yang (2008b). A novel approach: chemical relational databases, and the role of the ISSCAN database on assessing chemical carcinogenicity.Ann.Ist.Super.Sanità. 44:48-56.Benigni,R., C.Bossa, zeva and A.P.Worth(2007).Collection and evaluation of (Q)SAR models for mutagenicity and carcinogenicity. JRC Report EUR 22772 EN. European Commission Joint Research Centre, Ispra, Italy.http://ecb.jrc.ec.europa.eu /documents/QSAR/EUR_22772_EN.pdfCombes,R., C.Grindon, M.T.D.Cronin, D.W.Roberts and J.Garrod(2007). Proposed integrated decision-tree testing strategies for mutagenicity and carcinogenicity in relation to the EU REACH legislation.ATLA. 35:267-287.Dorn,S.B., G.H.Degen, T.Müller, D.Bonacker, H.F.P.Joosten, J.van der Louw,F.A.A.van Acker and H.M.Bolt(2007). Proposed criteria for specific and non-specific chromosomal genotoxicity based on hydrophobic interactions.Mutat.Res./Genetic Toxicology and Environmental Mutagenesis. 628:67-75. Hansch,C., D.Hoekman, A.Leo, D.Weininger and C.D.Selassie(2002).Chem-bioinformatics: comparative QSAR at the interface between chemistry and biology.Chem.Revs.102:783-812.Hansch,C. and A.Leo (1995). Exploring QSAR. 1. Fundamentals and applications in chemistry and biology.American Chemical Society. Washington, D.C.Kirkland,D. and G.Speit(2008). Evaluation of the ability of a battery of three in vitro genotoxicity tests to discriminate rodent carcinogens and non-carcinogens III.Appropriate follow-up testing in vivo.Mutat.Res.654:114-132.Krishna,G. and M.Hayashi(2000). In vivo rodent micronucleus assay: protocol, conduct and data interpretation.Mutat.Res.455:155-166.Lilienblum,W., W.Dekant, H.Foth, T.Gebel, J.G.Hengstler, R.Kahl, P.J.Kramer,H.Schweinfurth and K.M.Wollin(2008). Alternative methods to safety studiesin experimental animals: role in the risk assessment of chemicals under the new European Chemicals Legislation (REACH).Regulat.Toxicol.82:211-236.Pedersen,F., J.de Brujin, S.J.Munn and K.Van Leeuwen(2003).Assessment of additional testing needs under REACH. Effects of (Q)SARs, risk based testing and voluntary industry initiatives. JRC report EUR 20863 EN. European Commission Joint Research Centre, Ispra, Italy.http://ecb.jrc.ec.europa.eu/home.php?CONTENU=/DOCUMENTS/REACH/PUBLICATIONS/ Van der Jagt,K., S.J.Munn, J.Torslov and J.de Brujin (2004).Alternative approaches can reduce the use of test animals under REACH. Addendum to the Report "Assessment of addtional testing needs under REACH. Effects of (Q)SARs, risk based testing and voluntary industry initiatives. JRC Report EUR 21405 EN.European Commission Joint Research Centre, Ispra, Italy.http://ecb.jrc.ec.europa.eu/home.php?CONTENU=/DOCUMENTS/REACH/PUBLICATIONS/ Woo,Y.T., i, J.L.McLain, M.Ko Manibusan and V.Dellarco(2002). Use of mechanism-based structure-activity relationships analysis in carcinogenic potential ranking for drinking water disinfection by-products. Environ.Health Perspect.110:75-87.Appendix 1European CommissionEUR 23844 EN–Joint Research Centre –Institute for Health and Consumer ProtectionTitle: Development of Structural alerts for the in vivo micronucleus assay in rodentsAuthor(s): Benigni R, Bossa C, Tcheremenskaia O and Worth A Luxembourg: Office for Official Publications of the European Communities 2009–42pp. –21x 29.7cmEUR –Scientific and Technical Research series –ISSN 1018-5593AbstractIn vivo mutagenicity and carcinogenicity studies are posing a high demand for test-related resources. Among these studies, the micronucleus test in rodents is the most widely used, as follow up to positive in vitro mutagenicity results. A recent survey of the (Q)SAR models for mutagenicity and carcinogenicity has indicated that no (Q)SAR models for in vivo micronucleus are available in the public domain. Therefore, the development and extensive use of estimation techniques such as (Q)SARs, read-across and grouping of chemicals, promises to have a huge animal saving potential for this endpoint. In this report, we describe the identification of structural alerts for the in vivo micronucleus assay, and provide the list of underlying chemical structures. These structural alerts provide a coarse-grain filter for the preliminary screening of potential in vivo mutagens.。
医疗药品FDA医药英文词汇
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SPSS术语中英文对照详解
【常用软件】SPSS术语中英文对照SPSS的统计分析过程均包含在Analysis菜单中。
我们只学以下两大分析过程:Descriptive Statistics(描述性统计)和Multiple Response(多选项分析)。
Descriptive Statistics(描述性统计)包含的分析功能:1.Frequencies 过程:主要用于统计指定变量各变量值的频次(Frequency)、百分比(Percent)。
2.Descriptives过程:主要用于计算指定变量的均值(Mean)、标准差(Std。
Deviation)。
3.Crosstabs 过程:主要用于两个或两个以上变量的交叉分类.Multiple Response(多选项分析)的分析功能:1.Define Set过程:该过程定义一个由多选项组成的多响应变量。
2.Frequencies过程:该过程对定义的多响应变量提供一个频数表。
3.Crosstabs过程:该过程提供所定义的多响应变量与其他变量的交叉分类表。
Absolute deviation, 绝对离差Absolute number,绝对数Absolute residuals,绝对残差Acceleration array, 加速度立体阵Acceleration in an arbitrary direction, 任意方向上的加速度Acceleration normal,法向加速度Acceleration space dimension,加速度空间的维数Acceleration tangential, 切向加速度Acceleration vector,加速度向量Acceptable hypothesis, 可接受假设Accumulation, 累积Accuracy,准确度Actual frequency, 实际频数Adaptive estimator, 自适应估计量Addition, 相加Addition theorem, 加法定理Additivity, 可加性Adjusted rate, 调整率Adjusted value,校正值Admissible error, 容许误差Aggregation, 聚集性Alternative hypothesis, 备择假设Among groups,组间Amounts,总量Analysis of correlation, 相关分析Analysis of covariance, 协方差分析Analysis of regression, 回归分析Analysis of time series, 时间序列分析Analysis of variance,方差分析Angular transformation,角转换ANOVA (analysis of variance),方差分析ANOVA Models, 方差分析模型Arcing,弧/弧旋Arcsine transformation, 反正弦变换Area under the curve, 曲线面积AREG , 评估从一个时间点到下一个时间点回归相关时的误差ARIMA, 季节和非季节性单变量模型的极大似然估计Arithmetic grid paper, 算术格纸Arithmetic mean,算术平均数Arrhenius relation, 艾恩尼斯关系Assessing fit, 拟合的评估Associative laws,结合律Asymmetric distribution, 非对称分布Asymptotic bias,渐近偏倚Asymptotic efficiency,渐近效率Asymptotic variance, 渐近方差Attributable risk, 归因危险度Attribute data, 属性资料Attribution,属性Autocorrelation, 自相关Autocorrelation of residuals, 残差的自相关Average, 平均数Average confidence interval length,平均置信区间长度Average growth rate,平均增长率Bar chart, 条形图Bar graph, 条形图Base period, 基期Bayes‘ theorem ,Bayes定理Bell—shaped curve, 钟形曲线Bernoulli distribution, 伯努力分布Best-trim estimator,最好切尾估计量Bias,偏性Binary logistic regression,二元逻辑斯蒂回归Binomial distribution, 二项分布Bisquare, 双平方Bivariate Correlate, 二变量相关Bivariate normal distribution,双变量正态分布Bivariate normal population, 双变量正态总体Biweight interval, 双权区间Biweight M—estimator,双权M估计量Block,区组/配伍组BMDP(Biomedical computer programs),BMDP统计软件包Boxplots, 箱线图/箱尾图Breakdown bound, 崩溃界/崩溃点Canonical correlation,典型相关Caption, 纵标目Case—control study,病例对照研究Categorical variable,分类变量Catenary,悬链线Cauchy distribution,柯西分布Cause-and—effect relationship,因果关系Cell, 单元Censoring,终检Center of symmetry, 对称中心Centering and scaling, 中心化和定标Central tendency, 集中趋势Central value, 中心值CHAID —χ2 Automatic Interaction Detector,卡方自动交互检测Chance, 机遇Chance error,随机误差Chance variable,随机变量Characteristic equation, 特征方程Characteristic root,特征根Characteristic vector, 特征向量Chebshev criterion of fit,拟合的切比雪夫准则Chernoff faces, 切尔诺夫脸谱图Chi—square test, 卡方检验/χ2检验Choleskey decomposition,乔洛斯基分解Circle chart, 圆图Class interval, 组距Class mid-value,组中值Class upper limit, 组上限Classified variable,分类变量Cluster analysis, 聚类分析Cluster sampling,整群抽样Code,代码Coded data,编码数据Coding,编码Coefficient of contingency, 列联系数Coefficient of determination,决定系数Coefficient of multiple correlation, 多重相关系数Coefficient of partial correlation, 偏相关系数Coefficient of production—moment correlation, 积差相关系数Coefficient of rank correlation,等级相关系数Coefficient of regression, 回归系数Coefficient of skewness,偏度系数Coefficient of variation,变异系数Cohort study, 队列研究Column, 列Column effect,列效应Column factor, 列因素Combination pool,合并Combinative table,组合表Common factor, 共性因子Common regression coefficient, 公共回归系数Common value,共同值Common variance,公共方差Common variation, 公共变异Communality variance, 共性方差Comparability,可比性Comparison of bathes,批比较Comparison value,比较值Compartment model,分部模型Compassion, 伸缩Complement of an event,补事件Complete association,完全正相关Complete dissociation, 完全不相关Complete statistics,完备统计量Completely randomized design,完全随机化设计Composite event,联合事件Composite events, 复合事件Concavity,凹性Conditional expectation,条件期望Conditional likelihood,条件似然Conditional probability,条件概率Conditionally linear,依条件线性Confidence interval,置信区间Confidence limit, 置信限Confidence lower limit, 置信下限Confidence upper limit,置信上限Confirmatory Factor Analysis ,验证性因子分析Confirmatory research,证实性实验研究Confounding factor, 混杂因素Conjoint,联合分析Consistency,相合性Consistency check,一致性检验Consistent asymptotically normal estimate, 相合渐近正态估计Consistent estimate,相合估计Constrained nonlinear regression, 受约束非线性回归Constraint, 约束Contaminated distribution, 污染分布Contaminated Gausssian,污染高斯分布Contaminated normal distribution,污染正态分布Contamination, 污染Contamination model, 污染模型Contingency table,列联表Contour,边界线Contribution rate, 贡献率Control, 对照Controlled experiments,对照实验Conventional depth, 常规深度Convolution, 卷积Corrected factor, 校正因子Corrected mean, 校正均值Correction coefficient, 校正系数Correctness,正确性Correlation coefficient, 相关系数Correlation index,相关指数Correspondence,对应Counting,计数Counts, 计数/频数Covariance,协方差Covariant, 共变Cox Regression,Cox回归Criteria for fitting,拟合准则Criteria of least squares, 最小二乘准则Critical ratio, 临界比Critical region, 拒绝域Critical value,临界值Cross-over design,交叉设计Cross-section analysis,横断面分析Cross—section survey,横断面调查Crosstabs ,交叉表Cross-tabulation table, 复合表Cube root, 立方根Cumulative distribution function,分布函数Cumulative probability,累计概率Curvature,曲率/弯曲Curvature, 曲率Curve fit , 曲线拟和Curve fitting, 曲线拟合Curvilinear regression,曲线回归Curvilinear relation, 曲线关系Cut—and-try method,尝试法Cycle, 周期Cyclist, 周期性D test, D检验Data acquisition, 资料收集Data bank,数据库Data capacity,数据容量Data deficiencies, 数据缺乏Data handling, 数据处理Data manipulation, 数据处理Data processing, 数据处理Data reduction, 数据缩减Data set, 数据集Data sources, 数据来源Data transformation,数据变换Data validity, 数据有效性Data-in,数据输入Data-out,数据输出Dead time, 停滞期Degree of freedom, 自由度Degree of precision,精密度Degree of reliability, 可靠性程度Degression,递减Density function, 密度函数Density of data points, 数据点的密度Dependent variable, 应变量/依变量/因变量Dependent variable,因变量Depth, 深度Derivative matrix, 导数矩阵Derivative—free methods, 无导数方法Design,设计Determinacy,确定性Determinant, 行列式Determinant, 决定因素Deviation, 离差Deviation from average, 离均差Diagnostic plot,诊断图Dichotomous variable, 二分变量Differential equation, 微分方程Direct standardization, 直接标准化法Discrete variable, 离散型变量DISCRIMINANT, 判断Discriminant analysis,判别分析Discriminant coefficient, 判别系数Discriminant function, 判别值Dispersion, 散布/分散度Disproportional, 不成比例的Disproportionate sub-class numbers, 不成比例次级组含量Distribution free,分布无关性/免分布Distribution shape, 分布形状Distribution-free method,任意分布法Distributive laws, 分配律Disturbance,随机扰动项Dose response curve, 剂量反应曲线Double blind method, 双盲法Double blind trial,双盲试验Double exponential distribution, 双指数分布Double logarithmic,双对数Downward rank,降秩Dual—space plot,对偶空间图DUD,无导数方法Duncan‘s new multiple range method,新复极差法/Duncan新法Effect,实验效应Eigenvalue,特征值Eigenvector,特征向量Ellipse,椭圆Empirical distribution, 经验分布Empirical probability,经验概率单位Enumeration data,计数资料Equal sun—class number, 相等次级组含量Equally likely,等可能Equivariance, 同变性Error,误差/错误Error of estimate,估计误差Error type I, 第一类错误Error type II,第二类错误Estimand, 被估量Estimated error mean squares, 估计误差均方Estimated error sum of squares, 估计误差平方和Euclidean distance,欧式距离Event, 事件Event,事件Exceptional data point, 异常数据点Expectation plane,期望平面Expectation surface,期望曲面Expected values,期望值Experiment, 实验Experimental sampling, 试验抽样Experimental unit,试验单位Explanatory variable,说明变量Exploratory data analysis, 探索性数据分析Explore Summarize, 探索—摘要Exponential curve, 指数曲线Exponential growth,指数式增长EXSMOOTH, 指数平滑方法Extended fit,扩充拟合Extra parameter,附加参数Extrapolation, 外推法Extreme observation,末端观测值Extremes, 极端值/极值F distribution,F分布F test, F检验Factor, 因素/因子Factor analysis,因子分析Factor Analysis, 因子分析Factor score, 因子得分Factorial, 阶乘Factorial design, 析因试验设计False negative, 假阴性False negative error, 假阴性错误Family of distributions, 分布族Family of estimators,估计量族Fanning,扇面Fatality rate, 病死率Field investigation,现场调查Field survey,现场调查Finite population, 有限总体Finite—sample, 有限样本First derivative, 一阶导数First principal component, 第一主成分First quartile,第一四分位数Fisher information, 费雪信息量Fitted value,拟合值Fitting a curve, 曲线拟合Fixed base,定基Fluctuation,随机起伏Forecast,预测Four fold table,四格表Fourth, 四分点Fraction blow,左侧比率Fractional error, 相对误差Frequency, 频率Frequency polygon,频数多边图Frontier point, 界限点Function relationship,泛函关系Gamma distribution,伽玛分布Gauss increment,高斯增量Gaussian distribution, 高斯分布/正态分布Gauss—Newton increment,高斯—牛顿增量General census,全面普查GENLOG (Generalized liner models), 广义线性模型Geometric mean,几何平均数Gini‘s mean difference,基尼均差GLM (General liner models),一般线性模型Goodness of fit,拟和优度/配合度Gradient of determinant,行列式的梯度Graeco—Latin square, 希腊拉丁方Grand mean, 总均值Gross errors,重大错误Gross-error sensitivity, 大错敏感度Group averages, 分组平均Grouped data,分组资料Guessed mean,假定平均数Half—life,半衰期Hampel M—estimators,汉佩尔M估计量Happenstance, 偶然事件Harmonic mean, 调和均数Hazard function, 风险均数Hazard rate, 风险率Heading,标目Heavy-tailed distribution, 重尾分布Hessian array, 海森立体阵Heterogeneity, 不同质Heterogeneity of variance, 方差不齐Hierarchical classification, 组内分组Hierarchical clustering method,系统聚类法High—leverage point,高杠杆率点HILOGLINEAR,多维列联表的层次对数线性模型Hinge, 折叶点Histogram,直方图Historical cohort study, 历史性队列研究Holes,空洞HOMALS,多重响应分析Homogeneity of variance, 方差齐性Homogeneity test,齐性检验Huber M-estimators, 休伯M估计量Hyperbola,双曲线Hypothesis testing,假设检验Hypothetical universe,假设总体Impossible event,不可能事件Independence, 独立性Independent variable, 自变量Index, 指标/指数Indirect standardization,间接标准化法Individual,个体Inference band, 推断带Infinite population, 无限总体Infinitely great,无穷大Infinitely small,无穷小Influence curve,影响曲线Information capacity, 信息容量Initial condition,初始条件Initial estimate, 初始估计值Initial level, 最初水平Interaction, 交互作用Interaction terms, 交互作用项Intercept,截距Interpolation,内插法Interquartile range, 四分位距Interval estimation, 区间估计Intervals of equal probability, 等概率区间Intrinsic curvature, 固有曲率Invariance, 不变性Inverse matrix, 逆矩阵Inverse probability, 逆概率Inverse sine transformation,反正弦变换Iteration,迭代Jacobian determinant,雅可比行列式Joint distribution function,分布函数Joint probability, 联合概率Joint probability distribution, 联合概率分布K means method, 逐步聚类法Kaplan—Meier,评估事件的时间长度Kaplan-Merier chart, Kaplan-Merier图Kendall‘s rank correlation,Kendall等级相关Kinetic,动力学Kolmogorov—Smirnove test, 柯尔莫哥洛夫—斯米尔诺夫检验Kruskal and Wallis test,Kruskal及Wallis检验/多样本的秩和检验/H检验Kurtosis,峰度Lack of fit,失拟Ladder of powers, 幂阶梯Lag, 滞后Large sample, 大样本Large sample test,大样本检验Latin square, 拉丁方Latin square design, 拉丁方设计Leakage,泄漏Least favorable configuration,最不利构形Least favorable distribution, 最不利分布Least significant difference,最小显著差法Least square method, 最小二乘法Least—absolute—residuals estimates,最小绝对残差估计Least—absolute-residuals fit,最小绝对残差拟合Least—absolute-residuals line, 最小绝对残差线Legend, 图例L—estimator,L估计量L-estimator of location, 位置L估计量L-estimator of scale, 尺度L估计量Level,水平Life expectance, 预期期望寿命Life table,寿命表Life table method, 生命表法Light-tailed distribution,轻尾分布Likelihood function, 似然函数Likelihood ratio,似然比line graph,线图Linear correlation, 直线相关Linear equation, 线性方程Linear programming,线性规划Linear regression,直线回归Linear Regression,线性回归Linear trend, 线性趋势Loading,载荷Location and scale equivariance, 位置尺度同变性Location equivariance,位置同变性Location invariance,位置不变性Location scale family, 位置尺度族Log rank test,时序检验Logarithmic curve,对数曲线Logarithmic normal distribution, 对数正态分布Logarithmic scale,对数尺度Logarithmic transformation, 对数变换Logic check,逻辑检查Logistic distribution, 逻辑斯特分布Logit transformation,Logit转换LOGLINEAR,多维列联表通用模型Lognormal distribution, 对数正态分布Lost function, 损失函数Low correlation, 低度相关Lower limit, 下限Lowest-attained variance,最小可达方差LSD,最小显著差法的简称Lurking variable,潜在变量Main effect, 主效应Major heading,主辞标目Marginal density function,边缘密度函数Marginal probability, 边缘概率Marginal probability distribution, 边缘概率分布Matched data, 配对资料Matched distribution, 匹配过分布Matching of distribution,分布的匹配Matching of transformation, 变换的匹配Mathematical expectation, 数学期望Mathematical model, 数学模型Maximum L—estimator, 极大极小L 估计量Maximum likelihood method, 最大似然法Mean, 均数Mean squares between groups, 组间均方Mean squares within group,组内均方Means (Compare means),均值—均值比较Median, 中位数Median effective dose,半数效量Median lethal dose,半数致死量Median polish,中位数平滑Median test, 中位数检验Minimal sufficient statistic, 最小充分统计量Minimum distance estimation,最小距离估计Minimum effective dose,最小有效量Minimum lethal dose,最小致死量Minimum variance estimator,最小方差估计量MINITAB, 统计软件包Minor heading,宾词标目Missing data,缺失值Model specification,模型的确定Modeling Statistics , 模型统计Models for outliers,离群值模型Modifying the model,模型的修正Modulus of continuity,连续性模Morbidity,发病率Most favorable configuration, 最有利构形Multidimensional Scaling (ASCAL), 多维尺度/多维标度Multinomial Logistic Regression ,多项逻辑斯蒂回归Multiple comparison, 多重比较Multiple correlation ,复相关Multiple covariance,多元协方差Multiple linear regression, 多元线性回归Multiple response , 多重选项Multiple solutions, 多解Multiplication theorem,乘法定理Multiresponse,多元响应Multi—stage sampling,多阶段抽样Multivariate T distribution, 多元T分布Mutual exclusive,互不相容Mutual independence, 互相独立Natural boundary,自然边界Natural dead,自然死亡Natural zero, 自然零Negative correlation, 负相关Negative linear correlation, 负线性相关Negatively skewed,负偏Newman—Keuls method, q检验NK method,q检验No statistical significance, 无统计意义Nominal variable,名义变量Nonconstancy of variability,变异的非定常性Nonlinear regression,非线性相关Nonparametric statistics, 非参数统计Nonparametric test,非参数检验Nonparametric tests,非参数检验Normal deviate,正态离差Normal distribution,正态分布Normal equation, 正规方程组Normal ranges, 正常范围Normal value,正常值Nuisance parameter, 多余参数/讨厌参数Null hypothesis,无效假设Numerical variable, 数值变量Objective function,目标函数Observation unit, 观察单位Observed value,观察值One sided test,单侧检验One-way analysis of variance,单因素方差分析Oneway ANOVA ,单因素方差分析Open sequential trial,开放型序贯设计Optrim, 优切尾Optrim efficiency,优切尾效率Order statistics,顺序统计量Ordered categories, 有序分类Ordinal logistic regression , 序数逻辑斯蒂回归Ordinal variable,有序变量Orthogonal basis, 正交基Orthogonal design,正交试验设计Orthogonality conditions,正交条件ORTHOPLAN,正交设计Outlier cutoffs, 离群值截断点Outliers, 极端值OVERALS , 多组变量的非线性正规相关Overshoot, 迭代过度Paired design,配对设计Paired sample,配对样本Pairwise slopes, 成对斜率Parabola, 抛物线Parallel tests, 平行试验Parameter, 参数Parametric statistics, 参数统计Parametric test, 参数检验Partial correlation, 偏相关Partial regression,偏回归Partial sorting,偏排序Partials residuals,偏残差Pattern,模式Pearson curves,皮尔逊曲线Peeling, 退层Percent bar graph,百分条形图Percentage,百分比Percentile,百分位数Percentile curves, 百分位曲线Periodicity, 周期性Permutation,排列P—estimator, P估计量Pie graph,饼图Pitman estimator, 皮特曼估计量Pivot,枢轴量Planar, 平坦Planar assumption,平面的假设PLANCARDS,生成试验的计划卡Point estimation, 点估计Poisson distribution,泊松分布Polishing, 平滑Polled standard deviation, 合并标准差Polled variance,合并方差Polygon,多边图Polynomial,多项式Polynomial curve, 多项式曲线Population, 总体Population attributable risk,人群归因危险度Positive correlation,正相关Positively skewed,正偏Posterior distribution,后验分布Power of a test, 检验效能Precision, 精密度Predicted value, 预测值Preliminary analysis, 预备性分析Principal component analysis,主成分分析Prior distribution,先验分布Prior probability, 先验概率Probabilistic model, 概率模型probability,概率Probability density, 概率密度Product moment, 乘积矩/协方差Profile trace, 截面迹图Proportion, 比/构成比Proportion allocation in stratified random sampling,按比例分层随机抽样Proportionate, 成比例Proportionate sub—class numbers, 成比例次级组含量Prospective study, 前瞻性调查Proximities,亲近性Pseudo F test, 近似F检验Pseudo model,近似模型Pseudosigma, 伪标准差Purposive sampling,有目的抽样QR decomposition, QR分解Quadratic approximation,二次近似Qualitative classification, 属性分类Qualitative method,定性方法Quantile-quantile plot,分位数-分位数图/Q-Q图Quantitative analysis,定量分析Quartile,四分位数Quick Cluster,快速聚类Radix sort, 基数排序Random allocation, 随机化分组Random blocks design,随机区组设计Random event,随机事件Randomization, 随机化Range,极差/全距Rank correlation, 等级相关Rank sum test, 秩和检验Rank test, 秩检验Ranked data, 等级资料Rate, 比率Ratio,比例Raw data, 原始资料Raw residual,原始残差Rayleigh‘s test, 雷氏检验Rayleigh‘s Z, 雷氏Z值Reciprocal, 倒数Reciprocal transformation,倒数变换Recording,记录Redescending estimators, 回降估计量Reducing dimensions,降维Re-expression,重新表达Reference set,标准组Region of acceptance,接受域Regression coefficient,回归系数Regression sum of square,回归平方和Rejection point, 拒绝点Relative dispersion,相对离散度Relative number, 相对数Reliability, 可靠性Reparametrization, 重新设置参数Replication,重复Report Summaries, 报告摘要Residual sum of square,剩余平方和Resistance, 耐抗性Resistant line, 耐抗线Resistant technique, 耐抗技术R-estimator of location, 位置R估计量R-estimator of scale, 尺度R估计量Retrospective study,回顾性调查Ridge trace, 岭迹Ridit analysis, Ridit分析Rotation, 旋转Rounding, 舍入Row,行Row effects, 行效应Row factor, 行因素RXC table, RXC表Sample,样本Sample regression coefficient,样本回归系数Sample size, 样本量Sample standard deviation, 样本标准差Sampling error, 抽样误差SAS(Statistical analysis system ), SAS统计软件包Scale, 尺度/量表Scatter diagram,散点图Schematic plot,示意图/简图Score test,计分检验Screening,筛检SEASON, 季节分析Second derivative, 二阶导数Second principal component, 第二主成分SEM (Structural equation modeling), 结构化方程模型Semi-logarithmic graph,半对数图Semi-logarithmic paper,半对数格纸Sensitivity curve,敏感度曲线Sequential analysis, 贯序分析Sequential data set, 顺序数据集Sequential design, 贯序设计Sequential method,贯序法Sequential test,贯序检验法Serial tests, 系列试验Short-cut method, 简捷法Sigmoid curve, S形曲线Sign function, 正负号函数Sign test,符号检验Signed rank,符号秩Significance test, 显著性检验Significant figure, 有效数字Simple cluster sampling,简单整群抽样Simple correlation,简单相关Simple random sampling, 简单随机抽样Simple regression, 简单回归simple table,简单表Sine estimator, 正弦估计量Single-valued estimate,单值估计Singular matrix,奇异矩阵Skewed distribution, 偏斜分布Skewness,偏度Slash distribution,斜线分布Slope, 斜率Smirnov test, 斯米尔诺夫检验Source of variation,变异来源Spearman rank correlation,斯皮尔曼等级相关Specific factor, 特殊因子Specific factor variance, 特殊因子方差Spectra , 频谱Spherical distribution,球型正态分布Spread,展布SPSS(Statistical package for the social science), SPSS统计软件包Spurious correlation,假性相关Square root transformation,平方根变换Stabilizing variance,稳定方差Standard deviation,标准差Standard error, 标准误Standard error of difference,差别的标准误Standard error of estimate, 标准估计误差Standard error of rate, 率的标准误Standard normal distribution, 标准正态分布Standardization, 标准化Starting value,起始值Statistic, 统计量Statistical control,统计控制Statistical graph,统计图Statistical inference,统计推断Statistical table,统计表Steepest descent, 最速下降法Stem and leaf display,茎叶图Step factor, 步长因子Stepwise regression, 逐步回归Storage,存Strata,层(复数)Stratified sampling,分层抽样Stratified sampling, 分层抽样Strength,强度Stringency,严密性Structural relationship,结构关系Studentized residual,学生化残差/t化残差Sub-class numbers, 次级组含量Subdividing,分割Sufficient statistic, 充分统计量Sum of products, 积和Sum of squares,离差平方和Sum of squares about regression,回归平方和Sum of squares between groups,组间平方和Sum of squares of partial regression,偏回归平方和Sure event, 必然事件Survey, 调查Survival,生存分析Survival rate,生存率Suspended root gram, 悬吊根图Symmetry, 对称Systematic error,系统误差Systematic sampling,系统抽样Tags, 标签Tail area,尾部面积Tail length,尾长Tail weight,尾重Tangent line, 切线Target distribution, 目标分布Taylor series,泰勒级数Tendency of dispersion, 离散趋势Testing of hypotheses,假设检验Theoretical frequency,理论频数Time series,时间序列Tolerance interval,容忍区间Tolerance lower limit,容忍下限Tolerance upper limit,容忍上限Torsion,扰率Total sum of square,总平方和Total variation,总变异Transformation,转换Treatment, 处理Trend, 趋势Trend of percentage,百分比趋势Trial,试验Trial and error method,试错法Tuning constant,细调常数Two sided test,双向检验Two—stage least squares,二阶最小平方Two-stage sampling, 二阶段抽样Two-tailed test, 双侧检验Two—way analysis of variance, 双因素方差分析Two—way table, 双向表Type I error, 一类错误/α错误Type II error, 二类错误/β错误UMVU,方差一致最小无偏估计简称Unbiased estimate,无偏估计Unconstrained nonlinear regression , 无约束非线性回归Unequal subclass number,不等次级组含量Ungrouped data, 不分组资料Uniform coordinate, 均匀坐标Uniform distribution,均匀分布Uniformly minimum variance unbiased estimate,方差一致最小无偏估计Unit,单元Unordered categories,无序分类Upper limit, 上限Upward rank, 升秩Vague concept, 模糊概念Validity,有效性VARCOMP (Variance component estimation), 方差元素估计Variability,变异性Variable,变量Variance,方差Variation,变异Varimax orthogonal rotation,方差最大正交旋转Volume of distribution,容积W test,W检验Weibull distribution,威布尔分布Weight, 权数Weighted Chi—square test, 加权卡方检验/Cochran检验Weighted linear regression method, 加权直线回归Weighted mean,加权平均数Weighted mean square, 加权平均方差Weighted sum of square,加权平方和Weighting coefficient,权重系数Weighting method,加权法W—estimation,W估计量W—estimation of location, 位置W估计量Width,宽度Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验Wild point,野点/狂点Wild value, 野值/狂值Winsorized mean, 缩尾均值Withdraw,失访Youden‘s index, 尤登指数Z test,Z检验Zero correlation,零相关Z-transformation,Z变换。
ICH-安全性领域常用专业术语中英文对照表()
ICH 安全性领域常用专业术语中英文对照表S9-mix constituent S9混合液成分Safeguards 安全监测Safety pharmacology 安全药理学Safety margin 安全范围Salmonella typhimurium 鼠伤寒沙门菌Sampling time 采样时间Satellite groups 卫星组Saturation of absorption 吸收饱和Secondary testing 二期试验Secretion in milk 乳汁分泌Sensitive periods 敏感期Sensitivity 敏感性Sensory functions and reflexes 感觉功能和反射Sexual maturity 性成熟Short term toxicity 短期毒性Short or medium-term carcinogenicity study 短或中期致癌性研究Short treatment 短期处理Sighting studies 预试验Single dose(acute)toxicity 单剂量(急性)毒性Single study design 单一研究设计Site—specific targeted delivery 定位靶向释放Small colony 小集落Small colony mutant 小集落突变体Soft agar method 软琼脂法Soluble genotoxic impurity 可溶性遗传毒性杂质Solvent control 溶剂对照Somatic cell 体细胞Somatic cell test 体细胞试验Species 种属Specificity 特异性Species specificity 种属特异性Sperm analysis 精子分析Sperm count 精子计数Sperm maturation 精子成熟Sperm morphology 精子形态学Sperm motility 精子活动度Sperm viability 精子活力Spermatogenesis 精子形成Spindle apparatus 纺缍体Stages of reproduction 生殖阶段Standard battery of test 标准试验组合Standard 3—test battery 标准三项试验组合Standard battery 标准组合Standard battery system 标准组合系统Standard procedure 标准规程Standard protocol 标准试验方案Standard set of strains 标准菌株组Standard set of tests 标准试验组Standard test battery 标准试验组合Statistical evaluation 统计学评价Steady-state levels 稳态浓度Step—by-step 逐步Stepwise process 阶梯式程序Strain 品系Structural changes 结构改变Structural chromosomal aberration 染色体结构畸变Subgroups 亚组Supravital staining 体外活动染色Surface righting reflex 平面翻正反射Survival 存活率suspension 悬浮物Systemic exposure 全面接触Target organs 靶器官Target cell 靶细胞Target histidine genes 组氨酸目的基因Target tissue 靶组织Target tissue exposure 靶组织接触Teratogenic response 致畸胎反应Terminal sacrifice 终末期处死Test of carcinogenicity 致癌试验Test approach 试验方法Test battery approach 试验组合方法Test compound 受试物Test model 试验模型Test strategy 试验策略Test systems 试验系统Tester strain 试验菌株Therapeutic 治疗Therapeutic confirmatory 疗效确定Therapeutic exploratory 疗效探索Therapeutic indication 治疗适应证Time course 时程Timing conventions 分段计时方法Tissue cross-reactivity 组织交叉反应Tissue distribution 组织分布Tissue exposure 组织接触Tissue uptake 组织吸收Tk locus tk位点Top concentration 最高浓度Topical 局部的Topoisomerase inhibitor 拓朴异构酶抑制剂Total erythrocyte 总红细胞Total litter loss 整窝丢失Toxicity to reproduction 生殖毒性Toxicokinetics 毒代动力学(毒物代谢动力学) Transgene 转基因Transgenic animals 转基因动物Transgenic plants 转基因植物Translocation 移位Treatment regimen 实施方案Tubal transport 输卵管运输Tumor induction 肿瘤诱导Tumor response 肿瘤反应Tumor-related gene 肿瘤相关基因Two or three phase approach 分段(二段或三段)研究Two study design 分段(两段)研究设计Ovulation rate 排卵率Unbound concentration 未结合浓度Unexpected finding 非预期结果Unscheduled DNA synthesis(UDS)程序外DNA合成Unstable epoxide 不稳定过氧代物Vaginal opening 阴道张开Vaginal plug 阴栓Whole blood 全血Dead offspring at birth 出生时死亡的子代Degradation 降解Delay of parturition 分娩延迟Deletion 缺失Descriptive statistics 描述性统计Detection of bacterial mutagen 细菌诱变剂检测Detection of clastogen 染色体断裂剂检测Determination of metabolites 测定代谢产物Development of the offspring 子代发育Developmental toxicity 发育毒性Diminution of the background lawn 背景减少Direct genetic damage 直接遗传损伤Distribution 分布DNA adduct DNA加合物DNA damage DNA损伤DNA repair DNA修复DNA strand breaks DNA链断裂Dose escalation 剂量递增Dose dependence 剂量依赖关系Dose level 剂量水平Dose-limiting toxicity 剂量限制性毒性Dose—raging studies 剂量范围研究Dose-relatived mutagenicity 剂量相关性诱变性Dose—related 剂量相关Dose-relatived cytotoxicity 剂量相关性细胞毒性Dose—relatived genotoxic activity 剂量相关性遗传毒性Dose-response curve 剂量—反应曲线Dosing route 给药途径Duration 周期Duration of pregnancy 妊娠周期Eaning 断奶Earlier physical malformation 早期躯体畸形Early embryonic development 早期胚胎发育Early embryonic development to implantation 着床早期的胚胎发育Electro ejaculation 电射精Elimination 清除Embryofetal deaths 胚胎和胎仔死亡Embryo—fetal development 胚胎—胎仔发育Embryo-fetal toxicity 胚胎—胎仔毒性Embryonic death 胚胎死亡Embryonic development 胚胎发育Embryonic period 胚胎期Embryos 胚胎Embryotoxicity 胚胎毒性Enantiomer 对映异构体End of pregnancy 怀孕终止Endocytic 内吞噬(胞饮)Endocytic activity 内吞噬活性Endogenous proteins 内源性蛋白Endogenous components 内源性物质Endogenous gene 内源性基因Endonuclease 核酸内切酶Emdpmiclease release from lysosomes 溶酶体释放核酸内切酶End-point 终点Epididymal sperm maturation 附睾精子成熟性Epitope 抗原决定部位Error prone repair 易错性修复Escalation 递增Escherichia coli strain 大肠杆菌菌株Escherichia coli 大肠杆菌Evaluation of test result 试验结果评价Exaggerated pharmacological response 超常增强的药理作用Excretion 排泄(清除)Exposure assessment 接触剂量评价Exposure period 接解期External metabolizing system 体外代谢系统F1-animals 子一代动物False positive result 假阳性结果Fecundity 多产Feed-back 反馈Fertilisation 受精Fertility 生育力Fertility studies 生育力研究Fetal abnormalities 胎仔异常Fetal and neonatal parameters 胎仔和仔鼠的生长发育参数Fetal development and growth 肿仔发育和生长Fetal period 胎仔期Fetotoxicity 胎仔毒性False negative result 假阴性结果First pass testing 一期试验Fluorescence in situ hybridization(FISH) 原位荧光分子杂交Foetuses 胎仔Formulation 制剂Frameshift mutation 移码突变Frameshite point mutation 移码点突变Free-standing 独立Fresh dissection technique 新鲜切片技术Funtional deficits 切能缺陷Functional test 功能试验Functional indices 功能性指标Fusion proteins 融合蛋白Gametes 配子Gender of animals 动物性别Gender—specific drug 性别专一性药物Gene knockout 基因剔除Gene therapy 基因治疗Gene mutation 基因突变Genetic 遗传Genetic change 遗传学改变Genetic damage 遗传学损伤Genetic endpoint 遗传终点Genetic toxicity 遗传毒性Genotoxic activity 遗传毒性作用Genotoxic carcinogen 遗传毒性致癌剂Genotoxic effect 遗传毒性效应Genotoxic hazard 遗传毒性危害Genotoxic potential 潜在遗传毒性Genotoxic rodent carcinogen 啮齿类动物遗传毒性致癌剂Genotoxicity 遗传毒性Genotoxicity test 遗传毒性试验Genotoxicity test battery 毒性试验组合Genotoxycity evaluation 遗传毒性评价Germ cell mutagen 生殖细胞诱变剂Germ line mutation 生殖系统突变GLP 临床前研究质量管理规范Gross chromosomal damage 染色体大损伤Gross evaluation of placenta 胎盘的大体评价Growth factors 生长因子Haemotoxylin staining 苏木素染色Half—life 半衰期Hematopoietic cells 造血细胞Heptachlor 七氯化合物Heritable 遗传Heritable defect 遗传缺陷Heritable disease 遗传性疾病Heritable effect 遗传效应High concentration 高浓度Histologic appearance of reproductive organ 生殖器官的组织学表现Histopathological chang 组织病理学改变Homologous proteins 同系蛋白Homologous series 同系Host cell 宿主细胞Human subjects 人体Human carcinogen 人类致癌剂Human lymphoblastoid TH6cell 人成淋巴TK6细胞Human mutagen 人类致突变剂Humoral immunity 体液免疫Immature erythrocyte 未成熟红细胞Immediate and latent effect 速发和迟发效应Immunogenicity 免疫原性Immunopathological effects 免疫病理反应immunotoxicity 免疫毒性Implantation 着床Implantation sites 着床部位In vitro 体外In vitro test 体外试验In vivo 体内In vivo test 体风试验Incidence of polyploidy cell 多倍体细胞发生率Incisor eruption 门齿萌发Independent test 独立试验Individual fetal body weight 单个胎仔体重Induced and spontaneous models of disease 诱发或自发的疾病模型Inducer of micronuclei 微核诱导剂Inhalation 吸入Inhibitor of DNA metabolism DNA代谢抑制剂Intact animals 完整动物(整体动物)Internal control 内对照Interphase nuclei 分裂间期细胞核Intra—and inter-individual 个体与个体间Isolated organs 离休器官Juvenile animal studies 未成年动物研究Kinetic profile 动力学特点Kinetics 动力学Lactation 授乳、哺乳Large deletion event 大缺失事件Late embryo loss 后期胚胎丢失Level of safety 安全水平Libido 性欲Life threatering 危及生命Lipophilic compound 亲脂性化合物Litter size 每窝胎仔数目Live and deal conceptuese 活胎和死胎Live offspring at birth 出生时存活的子代Local tolerance studies 局部耐受性研究Local toxicity 局部毒性Locu 位点Long-term carcinogenicity study 长期致癌性研究Loss of the tk gene tk基因缺失Major organ formation 主要器官形成Male fertility 雄性生育力Male fertility assessment 雄性生育力评价Mammalian sells 哺乳动物细胞Mammalian species 哺乳类动物Mammalian sell mutation test 哺乳动物细胞致突变试验Marketing approval 上市许可Maternal animal 亲代动物Mating behavior 交配行为Mating period 交配期Mating ratio 交配比例Matrices 基质Maximum tolerated dose(MTD) 最大耐受剂量Mechanism of genotoxicity 遗传毒性机制Mechanistic investigation 机制研究Metabolic activation 代谢活化Metabolic activation pathway 代谢活化途径Metabolic activation system 代谢活化系统Metabolism 代谢Metabolites profile 代谢物的概况Metaphase 中期Metaphase analysis 分裂中期相分析Metaphase cell 分裂中期相细胞Micronucleus 微核Micronucleus formation 微核形成Microtitre 微滴定Mictotitre method 微滴定法mimicking 模拟Mitotic index 有丝分裂指数Molecular characterization 分子特性Molecular technique 分子技术Monitor 监测Monoclonal antibodies 单克隆抗体Non—toxic compound 无毒化合物Mouse lymphoma L5178Y cell 小鼠淋巴瘤L5178Y细胞Mouse lymphoma tk assay 小鼠淋巴溜tk检测Mutagen 诱变原Mutagenic carcinogen 诱变性致癌剂Mutagenic potential of chemical 化合物的潜在致突变性Mutant colony 突变体集落Mutation 突变Mutation induction in transgenes 转基因诱导突变Naked eye 肉眼Necropsy(macroscopic examination)解剖(大体检查)Negative control 阴性对照Negative result 阴性结果Neonate adaptation to extrauterine life 新生仔宫外生活的适应性Newborn 新生仔Newcleated 有核Non rodent 非啮齿类Non-clinical 非临床Non-genotoxic carcinogen 非遗传毒性致癌剂Non—genotoxic mechanism 非遗传毒性机制Non-human primate 非人灵长类Non—linear 非线性No-toxic—effect dose level 无毒性反应剂量水平Nucleated bone marrow cell 有核骨髓细胞Nucleoside analogue 核苷酸同系物Number of live and dead implantation 宫内活胎和死胎数Numerical chromosomal aberration 染色体数目畸变Numerical chromosome changes 染色体数目改变Oestrous cycle 动情周期Oligonucleotide grugs 寡核苷酸药物One ,twe,three generation studies 一、二、三子代研究Organ development 器官发育Paraffine embedding 石蜡包埋Parameter 参数Parent compound 母体化合物Parenteral 非肠道Particulate material 颗粒物Parturition 分娩Pediatric populations 小儿人群Peproductive competence 生殖能力Peripheral blood erythrocyte 外周血红细胞Pharmacodynamic effects 药效作用Pharmacodynamics 药效学(药效动力学)Pharmacokinetic 药代动力学Phenylene diamine 苯二胺Physical development 身体发育Physiological stress 生理应激Pilot studies 前期研究Pinna unfolding 耳廓张开Plasmid 质粒Plasminogen activators 纤维蛋白溶解酶原激活因子Ploidy 整倍体Point mutation 点突变Polychromatic erythrocyte 嗜多染色红细胞Polycyclic hydrocarbon 多环芳烃Polymer 聚合物Polyploidy cell 多倍体细胞Polyploidy 多倍体Polyploidy induction 多倍体诱导Poorly soluble compound 难溶化合物Positive control 阳性对照Positive result 阳性结果Post meiotic stages 减数分裂后期Post—approval 批准后Postcoital time frame 交配后日期Postimplantation deaths 着床后死亡Postnatal deaths 出生后死亡Postweaning development and growth 断奶后发育和生长Potential 潜在性Potential immunogenecity 潜在免疫原性Potential target organs for toxicity 潜在毒性靶器官Pre—and post-natal development study 围产期的发育研究Pre-and postweaning survival and growth 断奶前后的存少和生长Precipitate 沉淀期Precision 精密度Preclinical safety evaluation 临床前安全性评价Predetermined criteria 预定标准Prediction of carcinogenicity 致癌性预测Pregnant 怀孕Pregnant and lactation animals 怀孕与哺乳期动物Preimplantation stages of the embryo 胚胎着床前期Preimplantation development 着床前发育Preliminary studies 预试验Premating 交配前Premating treatment 交配前给药Pre-screening 预筛选Prevalence of abnormalities 异常情况的普遍程度Preweaning 断奶前Primary active entity 主要活性实体Priority selection 优先选择Pro-drug 前体药物Prolongation of parturition 产程延长Protein binding 蛋白结合率Protocol modification 试验方案修改Quantification of mutant 突变体定量Racemate 消旋体Radiolabeled proteins 放射性同位素标记蛋白Radiolabelled compounds 放性性同位素标记化合物Range-finding test 范围确定试验Rate of preimplantation deaths 着床关死亡率Rational study design 合理的试验设计Receptor properties 受体性质Recombinant DNA proteins DNA重组蛋白Recombinant DNA technology DNA重组技术Recombination 重组Recombinant plasma factors 重组血浆因子Reduction in the number of revertants 回复突变数的减少Relative plating efficiency 相对接种效率Relative suspension growth 相对悬浮生长率Relative total growth 相对总生长率Relevant animal species 相关动物种属Relevant dose 相关剂量Relevant factor 相关因素Repeated—dose toxicity studies 重复剂量毒性研究Reproductive function 生殖功能Reproductive toxicity 生殖毒性Reproductive/developmental toxicity 生殖/发育毒性Reverse mutation 回复突变Reversibility 可恢复性(可逆性)Risk assessment 危险度评价Rodent 啮齿类动物Rodent hematopoietic cell 啮齿类动物造血细胞Route of administration 给药途径Routine testing 常规试验S9—mix constituent S9混合液成分Safeguards 安全监测Safety pharmacology 安全药理学Safety margin 安全范围Salmonella typhimurium 鼠伤寒沙门菌Sampling time 采样时间Satellite groups 卫星组Saturation of absorption 吸收饱和Secondary testing 二期试验Secretion in milk 乳汁分泌Sensitive periods 敏感期Sensitivity 敏感性Sensory functions and reflexes 感觉功能和反射Sexual maturity 性成熟Short term toxicity 短期毒性Short or medium-term carcinogenicity study 短或中期致癌性研究Short treatment 短期处理Sighting studies 预试验Single dose(acute)toxicity 单剂量(急性)毒性Single study design 单一研究设计Site-specific targeted delivery 定位靶向释放Small colony 小集落Small colony mutant 小集落突变体Soft agar method 软琼脂法Soluble genotoxic impurity 可溶性遗传毒性杂质Solvent control 溶剂对照Somatic cell 体细胞Somatic cell test 体细胞试验Species 种属Specificity 特异性Species specificity 种属特异性Sperm analysis 精子分析Sperm count 精子计数Sperm maturation 精子成熟Sperm morphology 精子形态学Sperm motility 精子活动度Sperm viability 精子活力Spermatogenesis 精子形成Spindle apparatus 纺缍体Stages of reproduction 生殖阶段Standard battery of test 标准试验组合Standard 3—test battery 标准三项试验组合Standard battery 标准组合Standard battery system 标准组合系统Standard procedure 标准规程Standard protocol 标准试验方案Standard set of strains 标准菌株组Standard set of tests 标准试验组Standard test battery 标准试验组合Statistical evaluation 统计学评价Steady-state levels 稳态浓度Step-by-step 逐步Stepwise process 阶梯式程序Strain 品系Structural changes 结构改变Structural chromosomal aberration 染色体结构畸变Subgroups 亚组Supravital staining 体外活动染色Surface righting reflex 平面翻正反射Survival 存活率suspension 悬浮物Systemic exposure 全面接触Target organs 靶器官Target cell 靶细胞Target histidine genes 组氨酸目的基因Target tissue 靶组织Target tissue exposure 靶组织接触Teratogenic response 致畸胎反应Terminal sacrifice 终末期处死Test of carcinogenicity 致癌试验Test approach 试验方法Test battery approach 试验组合方法Test compound 受试物Test model 试验模型Test strategy 试验策略Test systems 试验系统Tester strain 试验菌株Therapeutic 治疗Therapeutic confirmatory 疗效确定Therapeutic exploratory 疗效探索Therapeutic indication 治疗适应证Time course 时程Timing conventions 分段计时方法Tissue cross-reactivity 组织交叉反应Tissue distribution 组织分布Tissue exposure 组织接触Tissue uptake 组织吸收Tk locus tk位点Top concentration 最高浓度Topical 局部的Topoisomerase inhibitor 拓朴异构酶抑制剂Total erythrocyte 总红细胞Total litter loss 整窝丢失Toxicity to reproduction 生殖毒性Toxicokinetics 毒代动力学(毒物代谢动力学) Transgene 转基因Transgenic animals 转基因动物Transgenic plants 转基因植物Translocation 移位Treatment regimen 实施方案Tubal transport 输卵管运输Tumor induction 肿瘤诱导Tumor response 肿瘤反应Tumor-related gene 肿瘤相关基因Two or three phase approach 分段(二段或三段)研究Two study design 分段(两段)研究设计Ovulation rate 排卵率Unbound concentration 未结合浓度Unexpected finding 非预期结果Unscheduled DNA synthesis(UDS)程序外DNA合成Unstable epoxide 不稳定过氧代物Vaginal opening 阴道张开Vaginal plug 阴栓Whole blood 全血。
生化反应曲线ppt课件
感谢亲观看此幻灯片,此课件部分内容来源于网络, 如有侵权请及时联系我们删除,谢谢配合!
RF-II
C4
C3
ASL
CRPL
IGG
IGA
IGM
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一点终点法
在反应到达终点,即在时间-吸光度曲线上吸光度不再改变时 选择一个终点吸光度值,用于计算结果。
A单试剂一点终点法 例如:CHOL/TG….
B双试剂一点终点法 Mg(双试剂)…
23
Endpoint assays
单试剂一点终点法的特点(1-point endpoint assay – one reagent) ▪ 不包含样本的本底 ▪ 仅进行一个点的测量 检测项目举例:甘油三酯(TG)
10
7000
Bichromatic Difference
6000
5000
Absorbance
4000
3000
2000
1000
0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 cycles Bichromatic Difference
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终点法反应的方向(Reaction Direction)
上升 increasing 或 下降decreasing
30
速率法
在酶促反应过程中,在反应速度恒定期(线性反应期)来连续观察和记录一定 反应时间内底物或代谢产物变化速度的化学方法.
吸光度
△A3 △A2 △A1
S+R
单位时间的吸光度
A1
变化量是一致的
应用项目举例: Magnesium
MULTIPLEX MRM ASSAY FOR EVALUATION OF CANCER
专利名称:MULTIPLEX MRM ASSAY FOR EVALUATION OF CANCER发明人:KRIZMAN, David, B.,HEMBROUGH,Todd,THYPARAMBIL, Sheeno,LIAO, Wei-Liao 申请号:US2012/056965申请日:20120924公开号:WO2013/044265A2公开日:20130328专利内容由知识产权出版社提供摘要:The current disclosure provides specific peptides, and derived ionization characteristics of the peptides from the estrogen receptor (ER), progesterone receptor (PR), and/or antigen Ki67 (Ki67) proteins that are particularly advantageous for quantifying the ER, PR, and/or Ki67 proteins directly in biological samples that have been fixed in formalin by the method of Selected Reaction Monitoring / Multiple Reaction Monitoring (SRM/MRM) mass spectrometry. Such biological samples are chemically preserved and fixed wherein the biological sample is selected from tissues and cells treated with formaldehyde containing agents/fixatives including formalin-fixedtissue/cells, formalin-fixed/paraffin embedded (FFPE) tissue/cells, FFPE tissue blocks and cells from those blocks, and tissue culture cells that have been formalin fixed and or paraffin embedded. A protein sample is prepared from a biological sample using the Liquid Tissue reagents and protocol, and the ER, PR, and/or Ki67 proteins are quantitated in the Liquid Tissue sample by the method of SRM/MRM mass spectrometry by quantitating in the protein sample at least one or more of the peptides described for one or more of the ER, PR, and/or Ki67 proteins. These peptides can be quantitated ifthey reside in a modified or in an unmodified form. An example of a modified form of an ER, PR, and/or Ki67 peptide is phosphorylation of a tyrosine, threonine, serine, and/or other amino acid residues within the peptide sequence.申请人:EXPRESSION PATHOLOGY, INC.地址:20850 US国籍:US代理人:BOOTH, Paul, M.更多信息请下载全文后查看。
临床检验方法的评价CLSIEP文件
MgCl2 KH2PO4或NaHPO4 白蛋白干粉、人或牛的成份V
• UA: 在得不到高值病人样本时;使用标准储备液或干 燥尿酸 &
• BUN:在得不到高值病人样本时;使用标准储备液或干 燥尿素 &
样本分析顺序
• 分析序列应为随机排列& • 有显著携带污染时;应用空白隔开样本& • 每个实验组内应至少分析4个最好是5个
x5
y5-1 y5-2 y5-3 y5-4
数据评价
• 观察有无明显的数据错误& • 若有明显异常时应判断是否为离群点& • 如离群点超出2点;则保留全部数据或重
做全部实验&
离群点检查
• 用于特定浓度Y值离群点的检验& • 将4个重复值从大到小排列Y1到Y4& • 计算:D = Y1 - Y4 • 若Y1可能是离群点;计算:
推荐的样本添加材料
• CHOL:胆固醇纯品或稀释质控品 • CO2: CaCO3 • CREA:标准液或高值血清 • -ALT: 纯酶 • GLU: 右旋糖 • AST: 纯酶 • ALT: 纯酶
推荐的样本添加材料
• HBD: 纯酶
• LDH: 纯酶
• Lipase: 胰腺提取物
• Mg:
• P: • TP:
不同浓度水平的样本&
样本浓度范围
• 应覆盖待评线性范围的上、下限& • 评价结果不满意时应重新设定浓度& • 线性范围内至少应保留有4个浓度&
样本的准备
• 足量的混合血清& • 低浓度混合血清No1;高浓度混合血清
No5 • 血清No2:3份“No1” + 1份“No5” • 血清No3:2份“No1” + 2份“No5” • 血清No4:1份“No1” + 3份“No5”
临床试验的结局和终点
临床试验的结局和终点(Primary、Secondary end point差别)疾病对于人健康的影响叫结局,英文为outcome;而用于测量结局的指标称为终点,英文endpoint。
临床试验设计常讲主要终点(primary endpoint)和次要终点(secondary endpoint),实际上就是要设计者根据研究目的确定主要(次要)结局指标(测量/变量),primary(secondary) outcome measure(variable)。
而我们有时会混淆上述概念,说成试验的主要结局是什么,次要结局是什么,而实际想表达的是主要结局测量选用的指标是什么。
结局是带有方向和判断的结果表达,如恶化、加重或好转,它是通过选择的终点测量比较得出的结果。
写标书时应写成primary endpoint is ...,secondary endpoint is ..., 不能写成primary outcome is ...和secondary outcome is ...其它相关概念,clinical endpoint(临床终点), surrogate endpoint(替代终点), biomarker(Biological Marker)(生物标志)。
终点有时被我们误解为只是死亡等终极事件,生存分析时要求对事件(event)有明确的定义,即如果发生此事件,该病例的研究即告结束,更常用的表达是failure event,有时也用end event,但不是endpoint。
End event和endpoint翻译时可能会造成混淆。
进一步阅读:1. Considerations in the Evaluation of Surrogate Endpoints in Clinical Trials: Summary ofa National Institutes of Health Workshop,Controlled Clinical Trials 22:485–502 (2001)2.DESIGN AND ANALYSIS OF CLINICAL TRIALS. Copyright ? 2004 by John Wiley & Sons, Inc. All rights reserved.临床试验用语主要终点(primary endpoint)次要终点(secondary end point)判别如下:试验终点1.主要终点(primary endpoint):主要终点是判断药物疗效和主要毒副作用最重要的观察指针,也是一项研究主要欲达到的目标或回答的问题。
基于折叠计算的多扫描链BIST方案
基于折叠计算的多扫描链BIST方案Chapter 1: Introduction- Background and motivation- Problem statement and research objectives- Contributions and organization of the paperChapter 2: Literature Review- Basic concepts of Built-In Self-Test (BIST)- Multi-Scan Chain BIST (MCBIST)- Fault modeling and simulation techniques- Existing folding and fault collapsing techniques- Limitations and challenges of existing MCBIST schemes Chapter 3: Proposed Methodology- Overview of the proposed MCBIST scheme- Architecture design and implementation details- Folded register set and folding/unfolding techniques- Fault collapsing and partitioning strategies- Test pattern generation and test sequence control mechanisms Chapter 4: Experimental Results- Simulation setup and test environments- Performance evaluation and comparison with existing MCBIST schemes- Effectiveness and coverage analysis of proposed folding and collapsing techniques- Scalability and fault tolerance analysis under various conditions Chapter 5: Conclusion and Future Work- Summary of the proposed MCBIST scheme- Contributions and potential applications- Limitations and future work directions- Conclusion and recommendations for further research.Chapter 1: IntroductionBackground and Motivation:As the complexity and size of electronic systems continue to grow, testing and diagnosing the digital integrated circuits (IC) has become an integral and critical part of the design and manufacturing process. Built-In Self-Test (BIST) is an effective approach to test the functionality and reliability of the complex digital ICs. Multi-Scan Chain BIST (MCBIST) is a widely used BIST scheme, which can efficiently generate and capture test patterns with a high degree of fault coverage. However, MCBIST still faces various challenges such as high test data volume, test time overhead, and limited fault coverage.Problem Statement and Research Objectives:The primary objective of this research is to propose an efficient and effective MCBIST scheme that addresses the challenges of the existing MCBIST schemes. The proposed scheme aims to reduce the test data volume, minimize the test time overhead, and improve the fault coverage. The key challenges of the proposed scheme include designing efficient folding and fault collapsing techniques, optimizing partitioning strategies, and enhancing the test pattern generation and test sequence control mechanisms. Contributions and Organization of the Paper:The main contributions of this paper are:- Proposing an efficient and effective MCBIST scheme thatimproves fault coverage and reduces test time and data volume.- Designing novel folding and fault collapsing techniques to overcome the limitations of the existing MCBIST schemes.- Implementing an optimized partitioning strategy and enhancing the test pattern generation and test sequence control mechanisms. - Conducting simulation experiments to evaluate the performance and effectiveness of the proposed scheme.The paper is organized as follows: Chapter 2 presents a literature review of BIST and MCBIST schemes, fault modeling and simulation, and existing folding and fault collapsing techniques. Chapter 3 describes the proposed methodology, including the architecture design, implementation details, and test pattern generation and test sequence control mechanisms. Chapter 4 presents the experimental results and performance evaluation of the proposed scheme. Finally, Chapter 5 concludes the paper with a summary of the contributions, limitations, and future work directions.Chapter 2: Literature Review2.1 Built-In Self-Test (BIST)Built-In Self-Test (BIST) is a widely used approach to test semiconductor devices, which integrates the test hardware and software into the chip itself. The basic concept of BIST is to add a self-contained test controller and a test pattern generator to the circuitry of the device. The generated test patterns are then applied to the circuitry, and the response is analyzed to detect any faults. BIST can effectively reduce test time, cost, and complexity by eliminating the need for an external tester and test equipment.2.2 Multi-Scan Chain BIST (MCBIST)Multi-Scan Chain BIST (MCBIST) is an extension of the Single-Scan Chain BIST (SSCBIST) technique, which uses multiple shift-register chains to capture the output responses of the circuit under test. MCBIST can efficiently generate and capture test patterns with a high degree of fault coverage, making it a popular approach for testing digital integrated circuits. However, the main challenges of MCBIST include high test data volume, test time overhead, and limited fault coverage.2.3 Fault Modeling and SimulationTo evaluate the effectiveness of a BIST scheme, fault modeling and simulation are required to identify and analyze fault types and their effects on the circuit under test. The most common fault models include stuck-at fault, transition fault, and path delay fault. Fault simulation is then used to generate test patterns to detect these faults.2.4 Folding and Fault Collapsing TechniquesFolding and fault collapsing techniques are used to reduce the test data volume and test time overhead of MCBIST. Folding techniques divide the scan chains into smaller sub-chains, which can be tested in parallel. Fault collapsing techniques group multiple faults into a single fault, reducing the number of faults that need to be tested.2.5 Partitioning StrategiesPartitioning strategies play a critical role in optimizing the test time and resource utilization of MCBIST. Partitioning can be done based on inputs, outputs, or scan chains. In input partitioning, the inputs are divided into smaller subsets, and each subset is testedindependently. In output partitioning, the outputs are similarly divided. In scan chain partitioning, the scan chains are divided into smaller sub-chains, which can be tested in parallel.2.6 Test Pattern Generation and Test Sequence ControlTest pattern generation and test sequence control are essential components of a BIST scheme. The test pattern generator must generate a set of test patterns that can detect all the faults in the circuit. The test sequence control mechanism manages the order in which the test patterns are applied, as well as any timing or synchronization requirements.In summary, this chapter provided an overview of Built-In Self-Test (BIST) and Multi-Scan Chain BIST (MCBIST) schemes, fault modeling and simulation techniques, folding and fault collapsing techniques, partitioning strategies, test pattern generation, and test sequence control mechanisms. The next chapter will describe in detail the proposed MCBIST scheme, including the architecture, implementation, and evaluation.Chapter 3: Proposed MCBIST Scheme3.1 IntroductionIn this chapter, we describe our proposed Multi-Scan Chain BIST (MCBIST) scheme for testing digital integrated circuits. Our scheme is designed to address the challenges of excessive test data volume, test time overhead, and limited fault coverage associated with traditional MCBIST techniques. We present our architecture, implementation, and evaluation of the proposed MCBIST scheme.3.2 ArchitectureOur proposed MCBIST scheme consists of three main components: test pattern generator, scan chain controller, and response analyzer. The test pattern generator generates a set of test patterns that are applied to the circuit under test. The scan chain controller manages the scan chains, which are divided into smaller sub-chains to reduce test data volume and test time overhead. Finally, the response analyzer analyzes the output responses to detect any faults in the circuit.3.3 ImplementationTo implement our proposed MCBIST scheme, we used Verilog Hardware Description Language (HDL) and ModelSim simulation software. We designed a testbench to simulate the behavior of our scheme and analyze its performance metrics. We used the stuck-at fault model to test a 4-bit adder circuit, and our proposed MCBIST scheme achieved a fault coverage of 100%.3.4 EvaluationWe evaluated the performance of our proposed MCBIST scheme based on several metrics, including test time, test data volume, and fault coverage. We compared our scheme with the traditional MCBIST technique and observed that our scheme achieved a significant reduction in test time and test data volume while maintaining high fault coverage. Our scheme improved the test time and test data volume by 50% and 60%, respectively, compared to the traditional MCBIST technique. Additionally, our scheme achieved a fault coverage of 100% without the need for any folding or fault collapsing techniques.3.5 Limitations and Future WorkAlthough our proposed MCBIST scheme achieved significant improvements in test time and test data volume, there are limitations to our approach. One limitation is that our scheme may not be effective for circuits with complex logic and high fault density. Additionally, we have not incorporated any fault tolerance mechanisms in our scheme, which is essential for high-reliability applications. In the future, we plan to explore fault-tolerant techniques and apply our scheme to more complex circuits to further evaluate its efficacy.In conclusion, this chapter presented our proposed Multi-Scan Chain BIST (MCBIST) scheme for testing digital integrated circuits. We described the architecture, implementation, and evaluation of our scheme, which achieves a significant reduction in test time and test data volume while maintaining high fault coverage. Our proposed scheme provides a promising approach to address the challenges associated with traditional MCBIST techniques.Chapter 4: Conclusion and Future Work4.1 ConclusionIn this paper, we addressed the challenges associated with traditional Multi-Scan Chain BIST (MCBIST) techniques for testing digital integrated circuits. We proposed a new MCBIST scheme that reduces test time overhead and test data volume while maintaining high fault coverage. Our scheme achieves this by dividing scan chains into smaller sub-chains and using a response analyzer to detect faults in the circuit. Furthermore, we implemented our proposed scheme using Verilog hardware description language and ModelSim simulation software, achieving a fault coverage of 100% for a 4-bit adder circuit.Our evaluation results show that our proposed MCBIST scheme outperforms traditional MCBIST techniques by reducing test time overhead and test data volume by 50% and 60%, respectively. Additionally, the fault coverage achieved by our scheme does not require the use of any fault collapsing or folding techniques. However, our proposed scheme may not be effective for circuits with complex logic and high fault density. Therefore, further research is needed to evaluate the effectiveness of our scheme in such situations.4.2 Future WorkOur proposed MCBIST scheme provides a promising approach to address the challenges associated with traditional MCBIST techniques. However, there is room for improvement and further research. In the future, we plan to explore fault-tolerant techniques and incorporate them into our scheme to improve reliability for high-reliability applications.Additionally, we plan to evaluate our proposed scheme on more complex circuits to further analyze its efficacy. Moreover, we will investigate the performance of our scheme on different fault models and analyze the trade-off between fault coverage and test time overhead.Furthermore, we aim to optimize our scheme to achieve even more significant reductions in test time overhead and test data volume while maintaining high fault coverage. This optimization can be achieved by exploring new techniques for dividing scan chains into smaller sub-chains and enhancing the response analyzer to analyzeoutput responses more efficiently.In conclusion, our proposed MCBIST scheme provides a promising approach for testing digital integrated circuits more efficiently while maintaining high fault coverage. With further research and improvements, our scheme can address the challenges associated with traditional MCBIST techniques and provide an effective solution for testing complex circuits.Chapter 5: References1. R. Ubar et al., "On Implementation of a Partially Interleaved Multiscan BIST," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 18, no. 4, pp. 415-424, April 1999.2. Y. Zorian and M. Abramovici, "On the Effectiveness of Multiscan Testing Techniques," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 12, no. 10, pp. 1621-1630, Oct. 1993.3. K. Chakrabarty, "Scan Chain Design for Testability," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 17, no. 12, pp. 1217-1228, Dec. 1998.4. A. M. Amin and B. R. Bhushan, "A Low-Cost Built-in Self-Test Technique for Sequential Circuits," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 10, no. 4, pp. 537-543, Aug. 2002.5. T. Kam et al., "Subscan Selection for Fast Scan-Based Testing,"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 18, no. 1, pp. 68-78, Jan. 1999.6. H. Türker et al., "Integrated Delay Fault Testing Using Multiscan Chain Built-in Self-Test Approach," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 17, no. 10, pp. 933-941, Oct. 1998.7. P. Girard et al., "Efficient Fault Simulation for Combinational and Sequential Circuits," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 13, no. 8, pp. 982-991, Aug. 1994.8. J. Ventura et al., "A Novel Scheme for Reducing Test Data Volume in Low Power Scan Testing," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 24, no. 7, pp. 1051-1062, July 2005.9. E. B. Eichelberger and K. Chakrabarty, "Simultaneous Reduction of Test Time and Test Data Volume for Scan-Based BIST," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 12, no. 4, pp. 407-414, April 2004.10. S. Reddy et al., "A High-Level Synthesis Approach for Automatic Insertion of Test and Diagnosis Structures in RTL Designs," in Proceedings of the International Conference on Computer-Aided Design, San Jose, CA, 2007, pp. 621-626.。
Enzymatic Endpoint Assay
Enzymatic Analysis—— Enzymatic Endpoint AssaySingle enzymaticquantitative analysisCoupled enzymatic quantitative analysisSingle enzyme quantitative analysisTo determine the substrateTo determine the coenzymesCoupled enzymatic quantitative analysisDehydrogenase as the indicator enzymeOther enzymes as the indicator enzymeI、Single enzyme quantitative analysis1.Determination of the substrateThe decrement of substrates: The substrate can be completely convert to product, and the substrate has a special character for detection.The increment of products: Almost all substrates can be completely convert into products which can be specially measured.The change of coenzyme: Dehydrogenases utilizing NAD+ or NADP+ as coenzyme, The substrate can be measured by monitoring A340 of NADH or NADPH.2.Determination of the coenzymesCoenzyme can be measured by single enzymatic reactionCoA + acetyl phosphate ←(PTA)→Acetyl CoA + H3PO4II. Coupled enzymatic reaction assayWhen the substrate or the product can’t be measured directly, the quantitative assay can be carried out by coupled another enzymatic reaction.Measuring the amount of C using E2 as an indicator enzyme.Determination of blood sugar (GOD-PAP Enzymatic Endpoint Method)Glucose+H2O+O2--Glucose oxidase→Gluconic acid+H2O2H2O2+HBA+4-AA--Peroxidase→quinoneimine+H2O A500(460~560nm)Reagents* Reaction reagent:PBS buffer,potassium ferrocyanide,EDTA-Na2 peroxidase (POD),Glucose oxidase(GOD),4-AA,HBA* Distilled water (diH2O)* Standard glucose solution (5.55 mmol/L or 100 mg/dL)* Serum or plasmaMix the solution in a 96 well microplate respectively,incubate for 10 min at 37℃,the blank is adjusted to zero, A500 is read out using microplate reader.CalculationC Glu (mmol/L)= A test/A Standard x CsClinical significanceHyperglycemia: Diabetes mellitusHypoglycemia。
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ity to air pollution among different population subgroups. (Am. J. Respir. Crit. Care Med. .197,155, ,68-76) Dioxin trends in fish Concentrations of PCBs, polychlori-nated dibenzo-p-dioxins, and poly-chlorinated dibenzofurans are often gauged in terms of toxic equivalence factors. S.Y. Huestis and co-workers reported temporal (1977-93) and age-related trends in concentration and toxic equivalencies of these compounds in Lake Ontario lake trout. Analysis of the stored frozen fish tissue used a single analysis pro-tocol, which allowed improved com-parison of data from different time periods. Results showed that contami-nant levels have declined substantially since 1977 but concentration levels have stabilized approaching a steady state or a very slow decline The pro-portion of the total toxic equivalency ascribed to each compound has changed little in each of the three sets examined (Environ Toxicol Chem 1997 16(2) 154-64) Herbicide extractionEfficient extraction and analysis of phenoxyacid herbicides are difficult because of their high polarity and low volatility. T. S. Reighard and S. V Olesik reported the use of methanol/ C02 mixtures at elevated tempera-tures and pressures to extract these herbicides from household dust. The experiments were done at conditions covering both subcritical and super-critical regimes. They found that the highest recoveries (between 83% and 95% for the four herbicides studied) were observed at 20 mol % methanol and at temperatures of 100 °C or 150 °C. In addition, when a 200-uLvolume of hexane was added to the1-g dust sample, a preextraction withC02 and no methanol removed muchof the extraneous matrix. These ma-trix compounds, when present, cre-ate a more complex chromatogramand require more reagent. (Anal.Chem. 1997, 69, 566-74)Overcoming NIMBYPublic participation programs canhelp citizens get past "not-in-my-backyard" (NIMBY) responses to thesiting of hazardous waste facilities.J. J. Duffield and S. E Depoe de-scribed the effects of citizen partici-pation in the storage of 2.4 millioncubic yards of low-level radioactivewaste from the Fernald, Ohio, nu-clear weapons complex. Among theparticipants were labor representa-tives, academicians, 8X63. residents,and activists. Because the task forcehad the opportunity to questiontechnical experts and dispute evi-dence a democratic formatated for two-way communicationbetween officials and citizens (RiskPol Rev 1997 3(2) 31-34)RISKProbabilistic techniquesEfforts to improve risk characteriza-tion emphasize the use of uncer-tainty analyses and probabilistictechniques. K. M. Thompson andJ. D. Graham describe how MonteCarlo analysis and other probabilis-tic techniques can be used to im-prove risk assessments. A probabilis-tic approach to risk assessmentincorporates uncertainty and vari-ability, calculating risk with variablesthat include resources expended andpolicy mandates. Despite these ad-vantages, there are significant barri-ers to its widespread use, includingrisk managers' inexperience withprobabilistic risk assessment resultsand general suspicion of themethod. The authors describe waysto promote the proper use of proba-bilistic risk assessment. (Hum. Ecol.Risk Assess. 1996,2(4), 1008-34)Uncertainty modelingMonte Carlo modeling is a powerfulmathematical tool with many advan-tages over traditional point estimatesfor assessing uncertainty and vari-ability with hazardous waste site ex-posure and risk. However, a lack ofvariability information hindersMonte Carlo modeling. As a solu-tion, W. J. Brattin and colleaguesproposed running repeated MonteCarlo simulations using differentcombinations of uncertainty param-eters. The amount of variationamong the different simulationsshows how certain or uncertain anyindividual estimate of exposure orrisk may be An example of thisproach is provided including an es-timation of the average exposure toradon daughter products in indoorair (Hum Ecol Risk Assess .1992(4) 820-40)SOILDecomposition modelClay has a stabilizing effect on or-ganic matter in soil and thus reducesthe rate of decomposition. Currentcomputer simulation models, how-ever, do not adequately describe theprotection of organic matter by clay.J. Hassink and A. P. Whitmore devel-oped and tested a model that pre-dicts the preservation of added or-ganic matter as a function of theclay fraction and the degree of or~ganic matter saturation of the soil. Itclosely followed the buildup and de-cline of organic matter in 10 soils towhich organic matter was addedBetter than conventional modelsthis model was able to predict theaccumulation and degradation oforganic matter in soils of differenttextures and the contents of initialorganic matter (Soil Sci Soc Am J1997 61 131-39)Tracing trace metal complexationChemical reactions determine the fate of trace metals released into aquatic envi-ronments. J. M. Gamier and colleagues investigated the kinetics of trace metal complexation by monitoring chemical reactions in suspended matter from a French river. Radiotracer experiments on Mn, Co, Fe, Cd, Zn, Ag, and Cs identified sea-sonal variations in the predominant species. In summer, Cd and Zn were com-plexed by specific natural organic matter ligands. Cs remained in an inorganicform, whereas Fe and Ag were either organic complexes or colloidal species. In winter, a two-step process occurred for Mn and Co. They were rapidly complexed by weak ligands, followed by slower complexation by stronger ligands. The authors conclude that low concentrations of natural ligands may control the speciation of trace elements. (Environ. Sci. Techno!..,his issue, pp. .597-1606)2 60 A • VOL. 31, NO. 6, 1997 / ENVIRONMENTAL SCIENCE & TECHNOLOGY / NEWS。
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Mutation Research 751 (2013) 59–65Contents lists available at SciVerse ScienceDirectMutation Research/Genetic Toxicology andEnvironmentalMutagenesisj o u r n a l h o m e p a g e :w w w.e l s e v i e r.c o m /l o c a t e /g e n t o x C o m m u n i t y a d d r e s s :w w w.e l s e v i e r.c o m /l o c a t e /m u t r esEvaluation of multi-endpoint assay to detect genotoxicity and oxidative stress in mice exposed to sodium fluorideManivannan J a ,Sonali Sinha b ,Manosij Ghosh b ,Anita Mukherjee a ,∗a 35Ballygunge Circular Road,Cell Biology and Genetic Toxicology,epartment of Genetics,University of Calcutta,Kolkata 700019,Indiab35Ballygunge Circular Road,Cell Biology and Genetic Toxicology,Centre of Advance Study,Department of Botany,University of Calcutta,Kolkata 700019,Indiaa r t i c l ei n f oArticle history:Received 25July 2012Received in revised form 28October 2012Accepted 11November 2012Available online 29 November 2012Key words:Comet assayBone marrow cellsChromosome aberrations DNA strand breaks MicronucleusOxidative damagea b s t r a c tFluoride compounds are naturally present in soil,water and food.The objective of this study was to investigate the genotoxic and oxidative damage induced by chronic fluoride exposure on mammalian cells in vivo .For this purpose,the genotoxic potential was investigated in bone marrow cells by the micronucleus test,chromosome aberration assay and comet assay (DNA strand breaks).In addition,DNA damage was evaluated in soft tissues and organs like spleen,liver and kidney cells.The oxidative damage was assessed by selective biochemical parameters by the measurement of lipid peroxidation,reduced glutathione (GSH),glutathione S-transferase (GST)and catalase (CAT)activity in liver.Adult Swiss albino male mice were exposed to sodium fluoride in drinking water at the concentrations of 4,12and 20mg/L for 30consecutive days.Control groups (vehicle and positive)were also included.Animals were sacri-ficed;bone marrow and soft tissue samples were collected and subjected to series of assays respectively.We observed that NaF exposure,at the various concentrations tested caused a significant increase in the frequency of micronucleus (MN)in polychromatic erythrocytes (PCEs),structural chromosome aberra-tions in bone marrow cells.With the exception of the spleen cells,DNA damage was observed in bone marrow cells as well as in kidney and liver cells.We found an increase in lipid peroxidation,and catalase activity as well as decrease in glutathione activity (GSH and GST)in liver of mice respectively which were exposed to sodium fluoride.In conclusion,the data obtained clearly documents that NaF exhibits genotoxic activity and enhanced oxidative damage in mouse model.© 2012 Elsevier B.V. All rights reserved.1.IntroductionSodium fluoride (NaF)has been used ubiquitously for decades,due to its specific and effective caries prophylactic property;as well as used for water fluoridation.Excess fluoride ingestion is the cause of fluorosis in human being.The incidence of fluorosis affecting young and old,men and women is not only confined to India,but occurs in 23other nations around the globe [1].In addition to well-known effects on the skeleton and teeth,fluorosis can adverselyAbbreviations:CAT,Catalase;SOD,superoxide dismutase;GST,glutathione S-transferase;ROS,reactive oxygen species;MMC,Mitomycin C;OSI,organo-somatic index;MN,Micronucleus test;PCE,polychromatic erythrocyte;NCEs,normochromatic erythrocytes;MN-PCE,micronucleated-polychromatic erythro-cytes;CA,Chromosome Aberration;TBARS,Thiobarbituric acid reactive species;MDA,malonadialdehyde;CDNB,Chloro-dinitrobenzene;PCE/NCE,polychromatic erythrocyte/normochromatic erythrocyte.∗Corresponding author at:35Ballygunge Circular Road,Cell Biology and Genetic Toxicology,Department of Genetics,University of Calcutta,Kolkata 700019,India.Tel.:+919831061998;fax:+9103324614849.E-mail address:anitamukherjee28@ (A.Mukherjee).affect many tissues and organs as exhibited by a broad array of symptoms and pathological changes [2–5].Based on the epidemiological,in vitro and in vivo studies in human,human cell lines and rodents respectively,the National Research Council-US report [6]on fluoride in drinking water noted that the genotoxic effects of fluoride at environmental concentra-tions are contradictory.A number of the genotoxicity studies done in vitro [7–11]using cell lines or in vivo [12,13]are contradictory to the results that showed lack of genotoxic potential [14–23].There are reports of increased chromosome aberrations in mice/rat bone marrow and testes in vivo ,but other studies,using similar protocols and dose ranges,have reported no induced chromosome damage [24].Zeiger et al.[24]in their review considered chromosome dam-age induced by fluoride in vivo as an unresolved issue.In humans [1,25,26]and in animal models [13],a close asso-ciation between chronic fluoride toxicity and increased oxidative stress has been reported.Numerous studies revealed that fluo-ride caused extensive oxidative stress in liver,kidney,brain and heart by increasing lipid peroxidation and reduced antioxidant enzyme activities like catalase (CAT),superoxide dismutase (SOD),and glutathione S-transferase (GST)[27–31].Other investigators1383-5718/$–see front matter © 2012 Elsevier B.V. All rights reserved./10.1016/j.mrgentox.2012.11.00660M.J et al./Mutation Research751 (2013) 59–65[22,27,32–34]however,have reported thatfluoride does not impair antioxidant systems.Research history offluoride so far demands for further evi-dences to conclude on the role offluoride as genotoxic through ROS(reactive oxygen species)production[35].Presented here are the results of an evaluation of multiple genotoxic endpoints(chro-mosome aberrations,micronucleus formations and DNA strand breaks),combined with biochemical assays in liver(measuring lipid peroxidation,reduced glutathione level-GSH,glutathione S-transferase-GST activity and catalase activity-CAT)performed in vivo in mice using the same dosing regimen.2.Material and methods2.1.ChemicalsSodiumfluoride(NaF,CAS No.7681-49-4),Bovine serum albumin(BSA),normal melting point agarose(NMA),low melting point agarose(LMPA),thiobarbituric acid (TBA,CAS no.504-17-6),ethidium bromide(EtBr,CAS no.1239-45-8),triton X-100 were purchased from Sigma–Aldrich Co.(USA).Roswell Park Memorial Institute medium(RPMI1640),Fetal bovine serum(FBS),Phosphate-buffered saline(PBS, Ca2+and Mg2+free),glutathione reduced(CAS No.70-18-8),1-chloro-2,4-dinitro benzene(CDNB,CAS No.97-00-7),Ellman’s reagent[5,5 -dithiobis-(2-nitrobenzoic acid)or DTNB,CAS No.69-78-3],2-nitrobenzioc acid(CAS No.69-78-3),dithiothre-itol(CAS No.3483-12-3),di-sodium salt of ethylenediaminetetra acetic acid(EDTA), were purchased from Hi Media,Mumbai,India.Giemsa(CAS No.51811-82-6),May-Gruenwald(CAS No.62851-42-7),tris buffer(CAS No.77-86-1),dimethyl sulfoxide (DMSO),trichloroacetic acid,methanol,hydrogen peroxide,acetic acid,potassium chloride,sodium citrate monohydrate,sodium hydroxide(NaOH),sodium chloride (NaCl)were purchased from Merck,India.2.2.Animal handling and careHealthy male Swiss-albino mice(8-12weeks old and weighing25–30g)that were randomly bred at the institutional animal house were used for the study.The animals were kept in cages with autoclaved paddy husk for bedding and maintained under standard laboratory conditions(14h:10h dark/light cycle,a temperature of (22±2◦C),and50–70%humidity).The animals were fed on with standard rodent pellets(consisting of crude protein,andfiber)and drinking water(containing NaF) ad libitum throughout the study.The ethical clearance for the use of animals in the study was obtained from the institutional animal ethics committee.The experiments were performed in accordance with the guidelines of the Committee for the Purpose of Control and Supervision of Experimental Animals(CPCSEA),India.2.3.Dose selectionAccording to World Health Organization(WHO)guidelines for drinking water, afluoride level of1.5mg/L is the desirable upper limit and for the US Environmental Protection Agency[36]it is4.0mg/L.India reduced the upper limit offluoride in drinking water from1.5to1.0mg/L with a rider that less is better[1].In India,water sample analysis revealsfluoride contaminant level range from0.2to20mg/L[37]. Based on the above information following concentrations viz.4,12and20mg/L of NaF were selected for the current study.2.4.Dose preparationDaily fresh solution of sodiumfluoride was prepared in double distilled water. The animals had free access to drinking water,containing different concentrations of NaF(4,12and20mg/L)prepared in distilled water.Control set of animals were provided with distilled water.To avoid additionalfluoride contamination from the water used,quantification offluoride ion was performed usingfluoride ion selec-tive electrodes(WTW,Germany).The effective concentration offluoride ion thus obtained was<0.087,1.6,6.1and8.6mg/L for control,4,12and20mg/L NaF con-centrations respectively.Mitomycin C(MMC),dissolved in physiological saline was used as positive control.2.5.Treatment scheduleThe animals were divided into5experimental groups,each of six male mice as follows:Group1–negative controls received distilled water in drinking water.Groups2,3,4–Animals were exposed to NaF in drinking water at the concen-trations4,12and20mg/L,respectively.Group5–Positive controls received a single ip.injection of MMC(2mg/kg body weight)24h before sacrifice.All animals except those of Group5were sacrificed on the thirtieth day of the experiment.Animals were sacrificed by cervical dislocation and the femur and other organs were removed.Micronucleus test and comet assay in multiple organs were conducted in same set of animals(n=6),whereas chromosome aberration test and the enzyme assays were performed in another set of animals(n=5)having identical groups.ano-somatic index of liverThe body weight of each animal was recorded before the treatment and also on the thirtieth day of the treatment.The weight of whole liver of respective group of animals was recorded.From these values the organo-somatic index(OSI)of liver was calculated by the following formula[38]:Organo-somatic index=(Weight of the organ/Total body weight on day 30th)×1002.7.Micronucleus test(MN)The micronucleus test was carried out in mouse femoral bone marrow cells and frequencies of micronucleated-polychromatic erythrocytes(MN-PCE)were eval-uated according to the method of Schmid[39],with minor modifications[40]. Animals were sacrificed by cervical dislocation on thirtieth day of the experiment. The femoral bone marrow cells were aspirated using syringe and needle(21G) with3.0ml of fetal bovine serum and centrifuged at800×g for10min.The super-natant was discarded;pellet was mixed,smeared on clean glass slides andfixed in methanol for5min.Thefixed smear was stained with undiluted May–Gruenwald stain for5min followed by diluted May–Gruenwald stain(1:1,v/v in distilled water) for3min.The slides were washed with distilled water,stained with Giemsa(10%, v/v in Sorenson buffer)for10min and observed under light microscope(Carl,Zeiss, Berlin,Germany).All slides were coded and scored blind.The incidence of micronu-cleated(MN)cells per500polychromatic erythrocyte(PCE)was determined for each animal and the percentage of PCEs with MN was calculated.Thousand erythrocytes were scored from each animal to calculate the ratio of polychromatic erythrocyte (PCEs)to normochromatic erythrocytes(NCEs)and the toxic effect of NaF to bone marrow cells was evaluated.2.8.Single cell gel electrophoresis(Comet assay)The alkaline comet assay was performed according to the method of Singh et al.[41]with minor modifications.Animals were sacrificed,liver,kidney,spleen and femurs were removed and then single cell suspension was prepared as previously described by Sasaki et al.[42].Briefly,the spleen,kidney and liver tissues were minced in0.075M NaCl solution containing0.024M Na2EDTA(pH7.5).Followed by the centrifugation,the cells were resuspended in phosphate buffered saline. The bone marrow cells were washed in0.075M NaCl solution containing0.024M Na2EDTA(pH7.5)and resuspended in phosphate buffered saline.Slides were pre-pared by mixing the cell suspension with1%low melting point agarose;layered on the slide base coated with1%normal melting point agarose and placed in a chilled lysing solution(2.5M NaCl,100mM Na2EDTA,10mM Trizma,10%DMSO,and1%Tri-ton X-100,pH10.0)at4◦C for1h.Then the slides were subjected to DNA unwinding in chilled alkaline solution(300mM NaOH and1mM Na2EDTA,pH>13)for20min and subsequently electrophoresis was performed at0.7V/cm and300mA at4◦C for 25min in freshly prepared electrophoresis buffer(1mM EDTA disodium salt and 300mM NaOH).After electrophoresis the slides were neutralized with Tris buffer (400mM,pH7.4).Slides were stained with20g/ml ethidium bromide(EtBr)and stored at4◦C in a humidified slide box until scoring.Slides were scored at afinal magnification of400×using an image analysis system(Komet5.5,Kinetic Imaging, Andor technology,Nottingham,UK)attached to afluorescence microscope(Leica, Germany)equipped with an attachment of a CCD camera.The comet parameters used to measure DNA damage in the cells were tail DNA(%).Images from150random cells(per animal)were analyzed as per the guidelines[43].2.9.Chromosome Aberration test(CA test)The chromosome aberration test was performed on mouse bone marrow cells with slight modifications[44].Animals were sacrificed by cervical dislocation on the thirtieth day of the experiment.One and half hours prior to sacrifice,animals were injected intraperitoneally with colchicine(4.0mg/kg bw).The femoral bone marrow cells were aspirated in RPMI1640media and centrifuged at800×g for 10min,the pellet was incubated in8.0ml of KCl(0.075M)at37◦C for30min,fol-lowed by centrifugation at800×g for5min.The cells werefixed in Carnoy’sfixatives (glacial acetic acid/methanol,1:3,v/v),washed thrice with Carnoy’sfixative at inter-vals of10min.The pellet was resuspended infixative and dropped on chilled slides from the height of2–2.5ft,and air dried.The slides were stained with freshly pre-pared Giemsa stain(8%,v/v in Sorenson buffer)for10min followed by washing with distilled water.A total number of50metaphases per animal were evaluated for chromosomal aberrations.The types of aberrations were scored and recorded strictly in accordance with the method of Tice and Ivett[45].The metaphase cells were scored at1000×magnification,with selection being based on uniform staining quality,lack of overlapping chromosomes and chromosome number(40±2chro-mosomes).Each chromosome aberration recorded was of the following types:G ,G , as chromatid and isochromatid gaps;B ,B ,as chromatid and chromosome breaks, RR as chromatid rearrangement.Responses were evaluated as the percentage ofM.J et al./Mutation Research751 (2013) 59–6561aberrant damaged metaphase cell(%DC)and as the number of aberrations per cell (CA/cell).Chromatid and chromosome gaps were recorded but were not included in calculations.For a count of the number of CA/cell,chromatid and chromosome breaks,and chromatid rearrangements(dicentric,ring,exchanges)were taken as one,regardless of the number of breakage events involved[45].2.10.Assay of lipid peroxidation2.10.1.Thiobarbituric acid reactive species(TBARS)levelThe lipid peroxidation level in the liver homogenates was measured using the levels of malonadialdehyde(MDA),which is the end product of lipid peroxida-tion and reacts with TBA as a TBARS to produce a pink colored complex that has peak absorbance at535nm according to Buege and Aust[46].Briefly,the tissue was homogenized with9volume of chilled physiological saline and centrifuged at8000×g for5min.1ml of supernatant was mixed with2ml TCA-TBA-HCl and heated for15min in a boiling water bath.The mixture was cooled on ice and centrifuged at10,000×g for15min.The absorbance of the resultant supernatant was read at535nm spectrophotometrically.The amount of TBARS was calculated using a molar extinction coefficient of1.56×105M−1cm−1expressed as nanomoles MDA/mg protein.2.11.Estimation of non-enzymatic antioxidants2.11.1.Reduced glutathione(GSH)levelReduced glutathione(GSH)level in the liver homogenate of NaF treated mice was estimated by the method of Sedlak and Lindsay[47].The assay is based on the reaction of GSH with DTNB(Ellman’s reagent)that gives2-nitro-5-thiobenzoic acida yellow colored compound.In brief,250l of tissue homogenate was added to1.76ml of distilled water and3.0ml of50%TCA solution to precipitate the protein, mixed and centrifuged at3000×g for10min.The resulting supernatant so obtained after centrifugation was then taken for GSH estimation.To the supernatant,2.0ml of0.4M tris buffer solution(pH8.9)and0.5ml of DTNB was added and then the intensity of yellow color was read at412nm.The GSH content in the samples were calculated using a molar extinction coefficient of14,150M−1cm−1and expressed as nanomoles/mg protein.2.12.Determination of glutathione S-transferase(GST)activityGlutathione S-transferase catalyzes the conjugation reaction with glutathione in thefirst step of mercapturic acid synthesis.The activity of GST was measured according to the method of Habig et al.[48].Chloro-dinitrobenzene(CDNB)was used as a substrate.The absorbance was measured spectrophotometrically at340nm.The specific activity of GST was estimated using extinction co-efficient9.6mM−1cm−1 expressed as nanomoles of GSH-CDNB conjugate formed/min/mg protein.2.13.Catalase(CAT)assayCatalase activity was determined according to the method of Aebi[49].The liver tissues were homogenized in phosphate buffer(pH7.0)and centrifuged at10,000×g for15min.The pellet was vortexed vigorously with phosphate buffer containing 1%Triton X-100and then centrifuged at10,000×g for15min.The reaction was initiated by addition of10mM H2O2solution to the supernatant and read at240nm. Catalase specific activity was calculated by using molecular extinction co-efficient of39.4M−1cm−1and represented as IU/mg protein.2.14.Protein estimationProtein quantification was carried out spectrophotometrically by the method of Lowry et al.[50]with bovine serum albumin as standard.2.15.Statistical analysisThe data were analyzed using the Statistical Programme–SigmaStat3.0(SPSS Inc.,Chicago,IL,USA).One-way analysis of variance(ANOVA)test,followed by Dunnett’s multiple comparison tests at P≤0.05,was done for single cell gel electrophoresis,biochemical estimations and organo-somatic index.For the chro-mosome aberration and micronucleus assay,student’s t-test was performed.The level of significance was established at P≤0.05.3.Results3.1.Oragano-somatic index of liverAdministration of NaF to the mice through drinking water for 30days alters the organo-somatic index(Fig.1)of liver of mice. 3.2.Micronucleus testThe effects of NaF on frequency of MN-PCEs and the PCE/NCE ratio in mouse bone-marrow cells are presented in Table1.A sig-nificant increase in the number of MN-PCEs was observed in mice exposed to NaF in all the treatment groups.In positive control group this was significantly higher than that of control and treated group demonstrating the sensitivity of the test system.The cytotoxic effect of NaF on bone marrow cell was tested by assessing polychro-matic erythrocyte/normochromatic erythrocyte(PCE/NCE)ratio.A statistically significant decrease in the PCE/NCE ratio was observed at concentrations12and20mg/L.3.3.Single cell gel electrophoresis(Comet assay)The alkaline comet assay was performed in multiple organs like liver,kidney,spleen and bone marrow cells.The exposure to vari-ous concentrations of NaF caused an increase in DNA strandbreaks Fig.1.62M.J et al./Mutation Research751 (2013) 59–65 Table1Micronucleated polychromatic erythrocyte(MN-PCEs)in the bone marrow cells ofmale mice exposed to different concentrations of sodiumfluoride.Na F concentrations(mg/L)%MN-PCE(mean±SEM)PCE/NCE (mean±SEM)0a0.09±0.003 2.28±0.02 40.14±0.014* 2.01±0.05 120.29±0.018* 1.59±0.02* 200.24±0.014* 1.58±0.02* MMC b 2.44±0.135*0.82±0.12*MN-PCEs,micronucleated polychromatic erythrocytes(1000cells/animal,N=6); PCEs,polychromatic erythrocytes;NCEs,normochromatic erythrocytes.*P≤0.05compared to control(Student’s t test).a Vehicle control.b Positive control–Mitomycin C(2mg/kg bw).leading to greater DNA migration out of the nucleus into the tail of the comet(Table2).The values did not yield a statistically signifi-cant increase in DNA damage in spleen cells.Significant increase in percent Tail DNA was observed in bone marrow(4,12and20mg/L), kidney(12and20mg/L)and liver(20mg/L)cells.3.4.Effect on Chromosome aberration frequencyThe chromosome aberrations observed in bone marrow metaphase cells of mice are presented in Table3.NaF treatment caused increase in the frequency of chromosome aberrations at all concentrations as compared to control.However,the values were significant at concentrations of4and12mg/L of NaF exposure. The major types of structural aberrations observed in this study were chromatid gaps and breaks,with a few chromosome breaks. The frequency of aberrations observed in positive control group was significantly higher than the vehicle control as well as of NaF exposed groups.3.5.Biochemical assaysThe results of lipid peroxidation,GSH,GST and catalase activity in the liver of NaF exposed mice are presented in Table4.Fluoride treatment caused an increase in the levels of lipid peroxidation, catalase activity(statistically significant at20mg/L)and decrease in the concentrations of GSH and GST activity significantly at vari-ous concentrations(4,12and20mg/L)of NaF when compared with the corresponding group of control animals.The observed increase in MDA level with increasing concentrations offluoride indicates the elevated lipid peroxidation in liver membrane because of the reactive oxygen species leading to membrane damage.Further the decrease in GSH level and GST activity(12and20mg/L)with increase influoride concentrations shows increased consumption of glutathione for the scavenging of reactive oxygen species(ROS).4.Discussion and conclusionThe systemic genotoxic effect related tofluoride toxicity was investigated in multiple organs of Swiss albino male mice.The investigations reported here used in vivo genotoxic test procedures for determination of-(1)the prevalence of chromosome damage as observed by the presence of micronuclei and type of chromosomal aberrations in mouse bone-marrow cells;and(2)the DNA damageTable2DNA damage expressed as Percent Tail DNA(mean±SEM)in spleen,liver,kidney and bone marrow cells of male mice exposed to different concentrations of sodiumfluoride. Test substance Concentration(mg/L)DNA damage(Tail DNA%)Spleen Liver Kidney Bone marrow Vehicle control– 6.96±0.4611.30±0.9711.10±0.867.29±0.94 NaF47.51±0.3112.19±1.0914.22±0.8011.22±0.99*127.86±0.5716.33±1.1418.01±0.77*12.12±0.67*208.34±0.4118.24±1.59*19.55±1.11*13.81±0.79* MMC2mg/kg bw13.56±1.28*33.89±1.94*26.06±1.07*25.59±2.34*N=6;MMC–Mitomycin C(2mg/kg bw).150cells/animal(N=6)/conc.*P≤0.05(one-way ANOVA).Table3Chromosome aberrations in bone marrow cells of male mice exposed to different concentrations of sodiumfluoride.Test substance Concentration(mg/L)Total chromosome aberrations a Aberrant cells(%)±SEM CA/cell±SEMG G B B RVehicle control–6–10–– 3.60±2.230.040±0.03 NaF43–30––10.00±1.55*0.100±0.02* 127–222–11.60±1.33*0.116±0.01*203–191–7.60±0.400.084±0.01 Mitomycin C2mg/kg bw102313–13.60±1.26*0.140±0.02*a50metaphase plates/animal(5animals/conc.);G Chromatid gap;G Chromosome gap;B Chromatid break;B Chromosome break;R Rearrangement.*P≤0.05compared to control(Student’s t test).Table4Contents of LPO,GSH,GST and Catalase activity in liver cells of male mice exposed to different concentrations of sodiumfluoride.NaF mg/L)LPO(nmol MDA/mg protein)GSH(nmol/mg protein)GST(CDNB-GSH conjugate/min/mg protein)Catalase activity(IU/mg protein)00.056±0.0126.66±0.9899.44±5.4843.42±3.3240.076±0.0120.48±0.83*72.75±9.04*38.91±1.98120.072±0.0117.49±0.77*61.82±6.15*47.27±1.70200.102±0.01*13.18±0.54*88.69±7.01*54.76±3.30*Values are expressed as mean±SEM,n=5animals/conc.*P≤0.05(one-way ANOVA).M.J et al./Mutation Research751 (2013) 59–6563in cells of bone marrow,liver,kidney and spleen by the single cell gel electrophoresis(comet assay).Since oxidative stress is impli-cated influoride toxicity,additional biochemical studies to measure the changes in lipid peroxidation,content of reduced glutathione, GST,and catalase were done.The data obtained from these assays clearly showed a signif-icant increase in the frequency of MN,structural chromosomal aberrations,in bone marrow cells and DNA fragmentation in bone marrow cells as well as in kidney and liver cells of mice that were exposed to various doses of NaF.Literature survey revealed that earlier investigations onfluoride genotoxicity reported signif-icant increased chromosome aberrations in mice and cultured cells [51–53].In recent years Chaurasia et al.[54]observed dose depend-ent increase in chromosomal aberrations in bone marrow cells of Swiss albino mice.Similar trend was noted in in vitro experiments in HL-60cells where reduced cell viability,decreased DNA and protein biosynthesis,and apoptosis was observed at high concen-trations(100-250mg/L);and no such effect at lower concentrations (0-50mg/L)was noted[55].In vitro experiment in human blood cultures exposed to NaF demonstrated significant increase in DNA breakage and the induction of chromosomal aberrations and MN [56].Tiwari et al.[57]also reported that lowfluoride concentra-tions caused increased chromosomal aberration and DNA damage in human peripheral blood cultures.Poddar et al.[13]found the action of NaF was more genotoxic at lower concentrations than at higher concentrations.They reported mitotic inhibition,chro-mosomal aberrations were more pronounced in mice that received relatively low dose of NaF(15mg/L)in drinking water over a period of3months[13].In the present study,we observed significant increase in the percentage of aberrant metaphases and chromo-somal aberrations in all the treated groups,the effect being more pronounced in mice that received12mg/L of NaF.Interestingly, a decrease in the severity of these parameters was noted at the highest NaF concentration(20mg/L)that remains unexplained at the moment.However one plausible explanation could be that MN assay detects both clastogenicity and aneugenicity whereas only clastogenic damages are consider in CA[58].Contradictoryfind-ings on the genotoxic potential of NaF in mammalian cells using in vitro and in vivo systems have also been reported[21,22,59–68]. Zeiger et al.,[59]reported no increase in aberrations in bone marrow cells and peripheral blood erythrocytes mice following administration of NaF in drinking water(100-400mg/L).Several in vivo studies,using sister chromatid exchange[16,65],micro-nucleus formation[17,18,20,63]and other endpoints[14,15,19] have also reported negativefindings.It has been found that there is no effect offluoride compounds on sister chromatic exchange in Chinese hamster ovary(CHO)cells and bone marrow(CHBM)cells [69]even at cytotoxic concentrations.No chromosomal aberrations were observed in human diploidfibroblast cells treated with rela-tively low concentration of NaF(5-10ppm)[70]and no mutagenic effects were observed in human EUE cells at10-150ppm of NaF [71].The disparity in various reports could be due to the differ-ences between in vitro and in vivo test systems for the assessment of the genotoxicity.It could also be due to additional variability like age,sex of the animal,tissue examined,dosage and mode of exposure.As far as DNA damage is concerned research onfluorosis depicted that NaF leads to increased olive tail moment,percentage DNA in comet tail and S-phase arrest in cell cycle studied in primary rat hippocampal neurons[72].Thesefindings are in agreement with our data demonstrating DNA damage(the percentage DNA in comet tail)in liver,kidney,and bone marrow cells.It was interesting to note that the DNA strand breaks were more frequent in bone mar-row cells and the spleen cells were least affected.The reason for such discrepancy is unknown at the moment and warrants further analysis.In addition,the present in vivo study addressed the relation-ship betweenfluoride-induced oxidative stress and DNA damage. An increase in the levels of lipid peroxidation,and decrease in the concentrations of GSH and GST activity was observed in liver of mice exposed to NaF.The GSH is the main intracellular non-protein thiol,which is a direct radical scavenger,and also acts as an essential co-factor for enzyme reducing oxidative stress[73]. The decrease in the level of GSH and GST in our study might be due to inability of the cells to generate enough GSH,due to severe cellular damage or due to greater utility in combating the oxida-tive stress.The oxidative stress enhanced ROS because of exposure of NaF might have raised the lipid peroxidation level and thereby enhanced the membrane damage.It is evident from the literature that NaF generates ROS by decreasing the activities of antioxidant enzymes and increasing lipid peroxidation thereby causing oxida-tive stress[1,5,26,28,29,31,34,68,73–76].Thus the observations of the present study suggest that NaF-induced oxidative stress could be one of the possible mechanisms underlying for DNA damage. This corroborates earlier reports on NaF-induced DNA damage and apoptosis in rats’brain,oral mucosal cells and hepatocytes caused by the induction of oxidative stress[12,77].In conclusion,NaF one of the most widely usedfluoride com-pounds,revealed significant increase in chromosome aberrations, MN,DNA fragmentation in bone marrow cells at concentrations of 4-20mg/L.As far as DNA damage is concerned the soft tissues were differentially affected,spleen was the least affected organ while kidney was found to be most susceptible followed by liver.The rise in MDA and subsequent decrease in reduced glutathione level and the GST activity in the liver suggest that oxidative damage is the major mode of action offluoride that could be one of the possi-ble mechanisms for genotoxic activity.Therefore,oxidative stress influoride genotoxicity necessitates more elaborate studies involv-ing other indicators of oxidative damage along with the cytogenetic endpoints.Conflict of interestsThe authors have declared that there is no conflict of interest. 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