Literature DB >> 30265241

Identification of functionally distinct fibro-inflammatory and adipogenic stromal subpopulations in visceral adipose tissue of adult mice.

Chelsea Hepler1, Bo Shan1, Qianbin Zhang1, Gervaise H Henry2, Mengle Shao1, Lavanya Vishvanath1, Alexandra L Ghaben1, Angela B Mobley3, Douglas Strand2, Gary C Hon4, Rana K Gupta1.   

Abstract

White adipose tissue (WAT) remodeling is dictated by coordinated interactions between adipocytes and resident stromal-vascular cells; however, the functional heterogeneity of adipose stromal cells has remained unresolved. We combined single-cell RNA-sequencing and FACS to identify and isolate functionally distinct subpopulations of PDGFRβ+ stromal cells within visceral WAT of adult mice. LY6C- CD9- PDGFRβ+ cells represent highly adipogenic visceral adipocyte precursor cells ('APCs'), whereas LY6C+ PDGFRβ+ cells represent fibro-inflammatory progenitors ('FIPs'). FIPs lack adipogenic capacity, display pro-fibrogenic/pro-inflammatory phenotypes, and can exert an anti-adipogenic effect on APCs. The pro-inflammatory phenotype of PDGFRβ+ cells is regulated, at least in part, by NR4A nuclear receptors. These data highlight the functional heterogeneity of visceral WAT perivascular cells, and provide insight into potential cell-cell interactions impacting adipogenesis and inflammation. These improved strategies to isolate FIPs and APCs from visceral WAT will facilitate the study of physiological WAT remodeling and mechanisms leading to metabolic dysfunction. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed.
© 2018, Hepler et al.

Entities:  

Keywords:  adipogenesis; adipose tissue; fibrosis; human biology; inflammation; medicine; mouse; mural cells; obesity

Mesh:

Substances:

Year:  2018        PMID: 30265241      PMCID: PMC6167054          DOI: 10.7554/eLife.39636

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


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