{"title":"阿霉素致心脏毒性和肥厚的时间分析。","authors":"Yu-Te Lin, Yi-Ju Lee, Wen-Wei Tseng, Zih-Hua Chen, Huai-Ching Hsieh, Ko-Hong Lin, Jin-Yu Su, An-Chi Wei","doi":"10.1038/s41540-025-00545-7","DOIUrl":null,"url":null,"abstract":"<p><p>Doxorubicin (DOX), although effective in treating cancer, has significant cardiac side effects, which limit its clinical utility. In this study, we collected time-course transcriptomics and metabolomics data from the human cardiomyocyte cell line AC16, which we analyzed along with curated public transcriptomics data on DOX-induced toxicity. We developed a multiomics analysis workflow and a computational toolbox, pipeGEM, to integrate RNA-seq data with metabolic models, enabling the simulation of DOX-induced metabolic perturbations at a sample-specific level. Our results revealed that DOX affected mitochondrial damage and mitochondria-to-nucleus retrograde signaling, potentially contributing to the observed cellular enlargement, senescence and metabolic shift. Cardiac cells that survived DOX treatment presented elevated glycolysis, increased pentose phosphate pathway activity, an altered TCA cycle, and modified glutathione and fatty acid metabolism. These findings provide a comprehensive understanding of DOX-induced toxicity and its implications for cardiac hypertrophy, suggesting potential strategies to mitigate side effects while retaining the anticancer efficacy of DOX.</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":"11 1","pages":"67"},"PeriodicalIF":3.5000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12219892/pdf/","citationCount":"0","resultStr":"{\"title\":\"Temporal analysis of doxorubicin-induced cardiac toxicity and hypertrophy.\",\"authors\":\"Yu-Te Lin, Yi-Ju Lee, Wen-Wei Tseng, Zih-Hua Chen, Huai-Ching Hsieh, Ko-Hong Lin, Jin-Yu Su, An-Chi Wei\",\"doi\":\"10.1038/s41540-025-00545-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Doxorubicin (DOX), although effective in treating cancer, has significant cardiac side effects, which limit its clinical utility. In this study, we collected time-course transcriptomics and metabolomics data from the human cardiomyocyte cell line AC16, which we analyzed along with curated public transcriptomics data on DOX-induced toxicity. We developed a multiomics analysis workflow and a computational toolbox, pipeGEM, to integrate RNA-seq data with metabolic models, enabling the simulation of DOX-induced metabolic perturbations at a sample-specific level. Our results revealed that DOX affected mitochondrial damage and mitochondria-to-nucleus retrograde signaling, potentially contributing to the observed cellular enlargement, senescence and metabolic shift. Cardiac cells that survived DOX treatment presented elevated glycolysis, increased pentose phosphate pathway activity, an altered TCA cycle, and modified glutathione and fatty acid metabolism. These findings provide a comprehensive understanding of DOX-induced toxicity and its implications for cardiac hypertrophy, suggesting potential strategies to mitigate side effects while retaining the anticancer efficacy of DOX.</p>\",\"PeriodicalId\":19345,\"journal\":{\"name\":\"NPJ Systems Biology and Applications\",\"volume\":\"11 1\",\"pages\":\"67\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12219892/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NPJ Systems Biology and Applications\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1038/s41540-025-00545-7\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICAL & COMPUTATIONAL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Systems Biology and Applications","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41540-025-00545-7","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
Temporal analysis of doxorubicin-induced cardiac toxicity and hypertrophy.
Doxorubicin (DOX), although effective in treating cancer, has significant cardiac side effects, which limit its clinical utility. In this study, we collected time-course transcriptomics and metabolomics data from the human cardiomyocyte cell line AC16, which we analyzed along with curated public transcriptomics data on DOX-induced toxicity. We developed a multiomics analysis workflow and a computational toolbox, pipeGEM, to integrate RNA-seq data with metabolic models, enabling the simulation of DOX-induced metabolic perturbations at a sample-specific level. Our results revealed that DOX affected mitochondrial damage and mitochondria-to-nucleus retrograde signaling, potentially contributing to the observed cellular enlargement, senescence and metabolic shift. Cardiac cells that survived DOX treatment presented elevated glycolysis, increased pentose phosphate pathway activity, an altered TCA cycle, and modified glutathione and fatty acid metabolism. These findings provide a comprehensive understanding of DOX-induced toxicity and its implications for cardiac hypertrophy, suggesting potential strategies to mitigate side effects while retaining the anticancer efficacy of DOX.
期刊介绍:
npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology.
We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.