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利用人类预测斑贴试验(HPPT)数据对皮肤致敏危害和强度进行分类。

Use of human predictive patch test (HPPT) data for the classification of skin sensitization hazard and potency.

机构信息

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

Inotiv, Inc., Morrisville, NC, USA.

出版信息

Arch Toxicol. 2024 May;98(5):1253-1269. doi: 10.1007/s00204-023-03656-4. Epub 2024 Mar 14.

Abstract

Since the 1940s, patch tests in healthy volunteers (Human Predictive Patch Tests, HPPTs) have been used to identify chemicals that cause skin sensitization in humans. Recently, we reported the results of a major curation effort to support the development of OECD Guideline 497 on Defined Approaches (DAs) for skin sensitization (OECD in Guideline No. 497: Defined Approaches on Skin Sensitisation, 2021a. https://doi.org/10.1787/b92879a4-en ). In the course of this work, we compiled and published a database of 2277 HPPT results for 1366 unique test substances (Strickland et al. in Arch Toxicol 97:2825-2837, 2023. https://doi.org/10.1007/s00204-023-03530-3 ). Here we report a detailed analysis of the value of HPPT data for classification of chemicals as skin sensitizers under the United Nations' Globally Harmonized System of Classification and Labelling of Chemicals (GHS). As a result, we propose the dose per skin area (DSA) used for classification by the GHS to be replaced by or complemented with a dose descriptor that may better reflect sensitization incidence [e.g., the DSA causing induction of sensitization in one individual (DSA1+) or the DSA leading to an incidence of induction in 5% of the tested individuals (DSA05)]. We also propose standardized concepts and workflows for assessing individual HPPT results, for integrating multiple HPPT results and for using them in concert with Local Lymph Node Assay (LLNA) data in a weight of evidence (WoE) assessment. Overall, our findings show that HPPT results are often not sufficient for deriving unambiguous classifications on their own. However, where they are, the resulting classifications are reliable and reproducible and can be integrated well with those from other skin sensitization data, such as the LLNA.

摘要

自 20 世纪 40 年代以来,人们就在健康志愿者中进行斑贴试验(人体预测斑贴试验,HPPT),以确定可导致人类皮肤致敏的化学物质。最近,我们报告了一项重大整理工作的结果,该工作旨在支持 OECD 指南 497 中关于皮肤致敏的定义方法(OECD in Guideline No. 497: Defined Approaches on Skin Sensitisation,2021a. https://doi.org/10.1787/b92879a4-en )的发展。在这项工作过程中,我们编译并公布了一个包含 2277 项 HPPT 结果和 1366 种独特测试物质的数据库(Strickland 等人在《Arch Toxicol》97:2825-2837,2023. https://doi.org/10.1007/s00204-023-03530-3 )。在这里,我们详细分析了 HPPT 数据在联合国全球化学品统一分类和标签制度(GHS)下对化学品分类为皮肤致敏剂的价值。因此,我们建议用或补充一个更能反映致敏发生率的剂量描述符来代替 GHS 用于分类的每单位皮肤面积剂量(DSA)[例如,引起一个个体致敏的 DSA(DSA1+)或导致 5%受试个体致敏发生率的 DSA(DSA05)]。我们还建议了用于评估个体 HPPT 结果、整合多个 HPPT 结果以及将其与体内淋巴结分析(LLNA)数据一起用于证据权重(WoE)评估的标准化概念和工作流程。总的来说,我们的研究结果表明,HPPT 结果本身往往不足以得出明确的分类。然而,在有 HPPT 结果的情况下,分类结果是可靠和可重复的,可以与其他皮肤致敏数据(如 LLNA)很好地整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/225a/10965744/67fee137bb1c/204_2023_3656_Fig1_HTML.jpg

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