87种化合物的高含量毒理学分析使用3D小鼠迷你睾丸模型:一个新的方法方法(NAM)优先考虑男性生殖毒物。

IF 4.1 3区 医学 Q2 TOXICOLOGY
Lei Yin, Jamie Chelin Hu, Menghang Xia, Xiaozhong John Yu
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引用次数: 0

摘要

工业化学品、内分泌干扰物和药品的环境暴露与全球男性生殖健康下降的关系日益密切。为了满足对高效、机械的毒性筛选的迫切需求,我们开发了一种使用3D体外迷你睾丸模型的高通量、高含量筛选(HTS/HCA)平台。该系统用于评价来自国家毒理学计划(NTP)化学文库的87种结构多样的化合物。该模型将鼠源性精原细胞、支持细胞和间质细胞嵌入细胞外基质中,为机械毒理学提供了生理相关环境。每种化合物都通过10个表型端点进行测试,包括核形态、细胞骨架完整性(F-actin)、DNA损伤(γH2AX)和细胞活力(通过高含量成像)。计算定量偏离点(pod)并将其整合到高含量分析指数(HCAI)中。毒理学优先指数(ToxPi)评分,从pod得出,使化合物排序和聚类。与现有的体内生殖毒性数据相比,3D模型的敏感性为91.5%,特异性为93.8%,一致性为93.6% (n = 64个化合物)。值得注意的是,22种缺乏生殖毒性数据的化合物被确定为潜在的生殖毒性物质。机制分析表明,核形态、F-actin强度和γ - h2ax是生殖毒性最敏感的指标。聚类和类别水平分析表明,阻燃剂和农药的毒性最高。通过ToxPi集成的多参数数据促进了高分辨率的化学优先级。鉴于目前在寻找人类睾丸组织或将干细胞分化为睾丸细胞类型方面面临的伦理和技术挑战,小鼠细胞为复杂的多细胞睾丸建模提供了可复制和实用的替代方案。我们的研究结果表明,hca集成的3D迷你睾丸模型为男性生殖毒性筛查提供了一个强大的、可扩展的、有机械洞察力的平台,支持其作为符合监管和伦理测试目标的新方法方法(NAMs)的采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-content Toxicological Profiling of 87 Compounds Using a 3D Mouse Mini-Testis Model: A New Approach Methodology (NAM) for Prioritizing Male Reproductive Toxicants.

Environmental exposure to industrial chemicals, endocrine disruptors, and pharmaceuticals has been increasingly linked to the global decline in male reproductive health. To address the urgent need for efficient and mechanistically informed toxicity screening, we developed a high-throughput, high-content screening (HTS/HCA) platform using a 3D in vitro mini-testis model. This system was used to evaluate 87 structurally diverse compounds from the National Toxicology Program (NTP) chemical library. The model incorporates murine-derived spermatogonia, Sertoli, and Leydig cells embedded in an extracellular matrix, providing a physiologically relevant environment for mechanistic toxicology. Each compound was tested across ten phenotypic endpoints, including nuclear morphology, cytoskeletal integrity (F-actin), DNA damage (γH2AX), and cell viability by using high-content imaging. Quantitative Points of Departures (PODs) were calculated and integrated into a High-content Assay Index (HCAI). Toxicological Priority Index (ToxPi) scores, derived from the PODs, enabled compound ranking and clustering. Compared to existing in vivo reproductive toxicity data, the 3D model demonstrated 91.5% sensitivity, 93.8% specificity, and 93.6% concordance (n = 64 compounds). Notably, 22 compounds lacking reproductive toxicity data were identified as potentially reproductive toxicants. Mechanistic analyses revealed that nuclear morphology, F-actin intensity, and γH2AX were the most sensitive indicators of reproductive toxicity. Cluster and category-level analysis showed that flame retardants and pesticides ranked highest in toxicity. The integration of multi-parametric data via ToxPi facilitated high-resolution chemical prioritization. Given current ethical and technical challenges in sourcing human testicular tissue or differentiating stem cells into testicular cell types, murine cells provide a reproducible and practical alternative for complex multicellular testis modeling. Our results demonstrate that the HCA-integrated 3D mini-testis model offers a robust, scalable, and mechanistically insightful platform for male reproductive toxicity screening, supporting its adoption as New Approach Methodologies (NAMs) aligned with regulatory and ethical testing goals.

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来源期刊
Toxicological Sciences
Toxicological Sciences 医学-毒理学
CiteScore
7.70
自引率
7.90%
发文量
118
审稿时长
1.5 months
期刊介绍: The mission of Toxicological Sciences, the official journal of the Society of Toxicology, is to publish a broad spectrum of impactful research in the field of toxicology. The primary focus of Toxicological Sciences is on original research articles. The journal also provides expert insight via contemporary and systematic reviews, as well as forum articles and editorial content that addresses important topics in the field. The scope of Toxicological Sciences is focused on a broad spectrum of impactful toxicological research that will advance the multidisciplinary field of toxicology ranging from basic research to model development and application, and decision making. Submissions will include diverse technologies and approaches including, but not limited to: bioinformatics and computational biology, biochemistry, exposure science, histopathology, mass spectrometry, molecular biology, population-based sciences, tissue and cell-based systems, and whole-animal studies. Integrative approaches that combine realistic exposure scenarios with impactful analyses that move the field forward are encouraged.
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