High-content toxicological profiling of 87 compounds using a 3D mouse mini-testis model: a New Approach Methodology (NAM) for prioritizing male reproductive toxicants

生殖毒性 高含量筛选 毒性 生物 化学毒性 男性生殖系统 体外毒理学 暴露的 不良结局途径 体内 毒理 有机体 多细胞生物 计算生物学 生殖系统 间质细胞 生殖细胞 生物信息学 生物信息学 化合物 生殖生物学 仿形(计算机编程) 细胞生物学 内分泌干扰物 体外 药理学 生物测定 化学安全 发育毒性 药物开发 内分泌系统 活力测定 风险评估 表型 胚胎 细胞
作者
Lei Yin,Jamie Chelin Hu,Menghang Xia,Xiaozhong Yu
出处
期刊:Toxicological Sciences [Oxford University Press]
卷期号:208 (2): 279-300 被引量:2
标识
DOI:10.1093/toxsci/kfaf136
摘要

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 screening, high-content analysis (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 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 10 phenotypic endpoints, including nuclear morphology, cytoskeletal integrity (F-actin), DNA damage (γH2AX), and cell viability by using high-content imaging. Quantitative Points of Departure (PODs) were calculated and integrated into a High-Content Assay Index. Toxicological Priority Index (ToxPi) scores, derived from the PODs, enabled compound ranking and clustering. Compared with 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 aligned with regulatory and ethical testing goals.
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