Isabel Reinisch, Adhideb Ghosh, Falko Noé, Wenfei Sun, Hua Dong, Peter Leary, Arne Dietrich, Anne Hoffmann, Matthias Blüher, Christian Wolfrum
{"title":"揭示与肥胖症代谢健康有关的脂肪群","authors":"Isabel Reinisch, Adhideb Ghosh, Falko Noé, Wenfei Sun, Hua Dong, Peter Leary, Arne Dietrich, Anne Hoffmann, Matthias Blüher, Christian Wolfrum","doi":"10.1016/j.cmet.2024.11.006","DOIUrl":null,"url":null,"abstract":"Precision medicine is still not considered as a standard of care in obesity treatment, despite a large heterogeneity in the metabolic phenotype of individuals with obesity. One of the strongest factors influencing the variability in metabolic disease risk is adipose tissue (AT) dysfunction; however, there is little understanding of the link between distinct cell populations, cell-type-specific transcriptional programs, and disease severity. Here, we generated a comprehensive cellular map of subcutaneous and visceral AT of individuals with metabolically healthy and unhealthy obesity. By combining single-nucleus RNA-sequencing data with bulk transcriptomics and clinical parameters, we identified that mesothelial cells, adipocytes, and adipocyte-progenitor cells exhibit the strongest correlation with metabolic disease. Furthermore, we uncovered cell-specific transcriptional programs, such as the transitioning of mesothelial cells to a mesenchymal phenotype, that are involved in uncoupling obesity from metabolic disease. Together, these findings provide valuable insights by revealing biological drivers of clinical endpoints.","PeriodicalId":9840,"journal":{"name":"Cell metabolism","volume":"87 1","pages":""},"PeriodicalIF":27.7000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unveiling adipose populations linked to metabolic health in obesity\",\"authors\":\"Isabel Reinisch, Adhideb Ghosh, Falko Noé, Wenfei Sun, Hua Dong, Peter Leary, Arne Dietrich, Anne Hoffmann, Matthias Blüher, Christian Wolfrum\",\"doi\":\"10.1016/j.cmet.2024.11.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Precision medicine is still not considered as a standard of care in obesity treatment, despite a large heterogeneity in the metabolic phenotype of individuals with obesity. One of the strongest factors influencing the variability in metabolic disease risk is adipose tissue (AT) dysfunction; however, there is little understanding of the link between distinct cell populations, cell-type-specific transcriptional programs, and disease severity. Here, we generated a comprehensive cellular map of subcutaneous and visceral AT of individuals with metabolically healthy and unhealthy obesity. By combining single-nucleus RNA-sequencing data with bulk transcriptomics and clinical parameters, we identified that mesothelial cells, adipocytes, and adipocyte-progenitor cells exhibit the strongest correlation with metabolic disease. Furthermore, we uncovered cell-specific transcriptional programs, such as the transitioning of mesothelial cells to a mesenchymal phenotype, that are involved in uncoupling obesity from metabolic disease. Together, these findings provide valuable insights by revealing biological drivers of clinical endpoints.\",\"PeriodicalId\":9840,\"journal\":{\"name\":\"Cell metabolism\",\"volume\":\"87 1\",\"pages\":\"\"},\"PeriodicalIF\":27.7000,\"publicationDate\":\"2024-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell metabolism\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cmet.2024.11.006\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell metabolism","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.cmet.2024.11.006","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Unveiling adipose populations linked to metabolic health in obesity
Precision medicine is still not considered as a standard of care in obesity treatment, despite a large heterogeneity in the metabolic phenotype of individuals with obesity. One of the strongest factors influencing the variability in metabolic disease risk is adipose tissue (AT) dysfunction; however, there is little understanding of the link between distinct cell populations, cell-type-specific transcriptional programs, and disease severity. Here, we generated a comprehensive cellular map of subcutaneous and visceral AT of individuals with metabolically healthy and unhealthy obesity. By combining single-nucleus RNA-sequencing data with bulk transcriptomics and clinical parameters, we identified that mesothelial cells, adipocytes, and adipocyte-progenitor cells exhibit the strongest correlation with metabolic disease. Furthermore, we uncovered cell-specific transcriptional programs, such as the transitioning of mesothelial cells to a mesenchymal phenotype, that are involved in uncoupling obesity from metabolic disease. Together, these findings provide valuable insights by revealing biological drivers of clinical endpoints.
期刊介绍:
Cell Metabolism is a top research journal established in 2005 that focuses on publishing original and impactful papers in the field of metabolic research.It covers a wide range of topics including diabetes, obesity, cardiovascular biology, aging and stress responses, circadian biology, and many others.
Cell Metabolism aims to contribute to the advancement of metabolic research by providing a platform for the publication and dissemination of high-quality research and thought-provoking articles.