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 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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Publication Details

Journal
Toxicological Sciences
Published
2025-09-25
DOI
https://doi.org/10.1093/toxsci/kfaf136
Citations
2
Primary Topic
Effects and risks of endocrine disrupting chemicals
Type
article
Field-Weighted Citation Impact
2.40
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article

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

Menghang Xia, Xiaozhong Yu, Jian Hu, Lei Yin
2 citations
Toxicological Sciences
Effects and risks of endocrine disrupting chemicals
2.40
article

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

Menghang Xia, Xiaozhong Yu, Jian Hu, Lei Yin
article en
2 citations

Abstract

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.

Toxicological SciencesVol. 208(2)
University of New Mexico (US), 490 BioTech (United States) (US), Biotech Park (IN), National Center for Advancing Translational Sciences (US)
Openalex Percentile: Top 10%
Effects and risks of endocrine disrupting chemicals
2.40
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