Lei Yin, Jamie Chelin Hu, Menghang Xia, Xiaozhong John Yu
{"title":"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。","authors":"Lei Yin, Jamie Chelin Hu, Menghang Xia, Xiaozhong John Yu","doi":"10.1093/toxsci/kfaf136","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":23178,"journal":{"name":"Toxicological Sciences","volume":" ","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-content Toxicological Profiling of 87 Compounds Using a 3D Mouse Mini-Testis Model: A New Approach Methodology (NAM) for Prioritizing Male Reproductive Toxicants.\",\"authors\":\"Lei Yin, Jamie Chelin Hu, Menghang Xia, Xiaozhong John Yu\",\"doi\":\"10.1093/toxsci/kfaf136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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. 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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.
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.