Reinisch Isabel, Ghosh Adhideb, Noé Falko, Sun Wenfei, Dong Hua, Leary Peter, Dietrich Arne, Hoffmann Anne, Blüher Matthias, Wolfrum Christian
Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland; Functional Genomics Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland.
Cell Metab. 2025 Mar 4;37(3):640-655.e4. doi: 10.1016/j.cmet.2024.11.006. Epub 2024 Dec 17.
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.
尽管肥胖个体的代谢表型存在很大异质性,但精准医学仍未被视为肥胖治疗的标准疗法。影响代谢疾病风险变异性的最主要因素之一是脂肪组织(AT)功能障碍;然而,对于不同细胞群、细胞类型特异性转录程序与疾病严重程度之间的联系,人们了解甚少。在此,我们绘制了代谢健康和代谢不健康肥胖个体皮下和内脏脂肪组织的综合细胞图谱。通过将单核RNA测序数据与大量转录组学和临床参数相结合,我们确定间皮细胞、脂肪细胞和脂肪祖细胞与代谢疾病的相关性最强。此外,我们还发现了细胞特异性转录程序,如间皮细胞向间充质表型的转变,这些程序参与了肥胖与代谢疾病的解耦联。总之,这些发现通过揭示临床终点的生物学驱动因素提供了有价值的见解。