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毒性研究中不良反应和非不良反应的识别。

Recognition of adverse and nonadverse effects in toxicity studies.

作者信息

Lewis Richard W, Billington Richard, Debryune Eric, Gamer Armin, Lang B, Carpanini Francis

机构信息

Syngenta CTL, Health Assessment and Environmental Safety, Alderley Park, Cheshire, UK.

出版信息

Toxicol Pathol. 2002 Jan-Feb;30(1):66-74. doi: 10.1080/01926230252824725.

Abstract

One of the most important quantitative outputs from toxicity studies is identification of the highest exposure level (dose or concentration) that does not cause treatment related effects that could be considered relevant to human health risk assessment. A review of regulatory and other scientific literature and of current practices has revealed a lack of consistency in definition and application of frequently used terms such as No Observed Effect Level (NOEL), No Observed Adverse Effect Level (NOAEL), adverse effect, biologically significant effect, or toxicologically significant effect. Moreover, no coherent criteria were found that could be used to guide consistent interpretation of toxicity studies, including the recognition and differentiation between adverse and nonadverse effects. This presentation will address these issues identified first by proposing a standard set of definitions for key terms such as NOEL and NOAEL that are frequently used to describe the overall outcome of a toxicity study. Second, a coherent framework is outlined that can assist the toxicologist in arriving at consistent study interpretation. This structured process involves two main steps. In the first, the toxicologist must decide whether differences from control values are treatment related or if they are chance deviations. In the second step, only those differences judged to be effects are further evaluated in order to discriminate between those that are adverse and those that are not. For each step, criteria are described that can be used to make consistent judgments. In differentiating an effect from a chance finding, consideration is given inter alia to dose response, spurious measurements in individual parameters, the precision of the measurement under evaluation, ranges of natural variation and the overall biological plausibility of the observation. In discriminating between the adverse and the non-adverse effect consideration is given to: whether the effect is an adaptive response, whether it is transient, the magnitude of the effect, its association with effects in other related endpoints, whether it is a precursor to a more significant effect, whether it has an effect on the overall function of the organism. whether it is a specific effect on an organ or organ system or secondary to general toxicity or whether the effect is a predictable consequence of the experimental model. In interpreting complex studies it is recognised that a weight of the evidence approach, combining the criteria outlined here to reach an overall judgment, is the optimal way of applying the process. It is believed that the use of such a scheme will help to improve the consistency of study interpretation that is the foundation of hazard and risk assessment.

摘要

毒性研究最重要的定量输出之一是确定不会导致与治疗相关的、可被视为与人类健康风险评估相关的效应的最高暴露水平(剂量或浓度)。对监管及其他科学文献和当前实践的审查表明,在常用术语(如未观察到效应水平(NOEL)、未观察到不良效应水平(NOAEL)、不良效应、生物学显著效应或毒理学显著效应)的定义和应用方面缺乏一致性。此外,未发现可用于指导毒性研究一致性解释的连贯标准,包括对不良效应和非不良效应的识别与区分。本报告将首先通过为常用于描述毒性研究总体结果的关键术语(如NOEL和NOAEL)提出一套标准定义来解决这些问题。其次,概述一个连贯的框架,该框架可协助毒理学家进行一致的研究解释。这个结构化过程涉及两个主要步骤。第一步,毒理学家必须确定与对照值的差异是与治疗相关还是随机偏差。第二步,仅对那些被判定为效应的差异进行进一步评估,以区分不良效应和非不良效应。对于每个步骤,都描述了可用于做出一致判断的标准。在区分效应与随机发现时,尤其要考虑剂量反应、单个参数中的虚假测量、评估中测量的精度、自然变异范围以及观察结果的整体生物学合理性。在区分不良效应和非不良效应时,要考虑以下因素:效应是否为适应性反应、是否短暂、效应的大小、其与其他相关终点效应的关联、是否是更显著效应的先兆、是否对生物体的整体功能有影响、是否对器官或器官系统有特定影响或继发于一般毒性,或者效应是否是实验模型的可预测结果。在解释复杂研究时,公认采用证据权重法,结合此处概述的标准以达成总体判断,是应用该过程的最佳方式。相信使用这样的方案将有助于提高研究解释的一致性,而这是危害和风险评估的基础。

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