Unveiling adipose populations linked to metabolic health in obesity

Isabel Reinisch(ETH Zurich), Adhideb Ghosh(University of Zurich), Falko Noé(University of Zurich), Wenfei Sun(Stanford University), Hua Dong(Institute for Stem Cell Biology and Regenerative Medicine), Peter Leary(University of Zurich), Arne Dietrich(University Hospital Leipzig), Anne Hoffmann(Helmholtz Zentrum München), Matthias Blüher(University Hospital Leipzig), Christian Wolfrum(ETH Zurich)
Cell Metabolism
December 17, 2024
Cited by 57Open Access
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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.


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