Journal of Biological ChemistryGeneticsPeer-reviewed journal article
Diet-induced obesity mediated through Estrogen-Related Receptor α is independent of intestinal function
Kiranmayi VemuriiD, Jahangir IqbaliD, Sneha Kumar, Alexandra LogerfoiD, Maria IbrahimiD, Eileen WhiteiD, Michael Paul VerziiD
Abstract
Obesity has become an epidemic, prompting advances in therapies targeting this condition. Estrogen-related receptor (ESRRA), a transcription factor, plays pivotal roles in energy metabolism across diverse tissues. Studies have demonstrated that loss of Esrra leads to fat malabsorption and resistance to diet-induced obesity. However, the reliance of these studies on germline Esrra mutants overlooks the tissue-specific implications of ESRRA in diet-induced obesity. Notably, Esrra exhibits high expression in the gastrointestinal (GI) tract relative to other tissues. Given the critical role of the GI tract in dietary lipid metabolism, this study employs mouse genetics and genomics approaches to dissect the specific impact of intestinal ESRRA along with investigating its role in diet-induced obesity. Data TransparencyChIP-seq and RNA-seq data from this publication have been deposited to GEO accession numbers GSE269824 and GSE269825, respectively. Any additional information required to reanalyze the data reported in this paper is available from the corresponding author upon request. Grant SupportThis research was funded by grants from the National Institutes of Health (NIH) to M.P.V. (R01DK121915 and R01DK126446). K.V. was supported by an American Heart Association pre-doctoral fellowship (906006). S.K. was supported by a Rutgers DLS Summer Undergraduate Research Fellowship. A.L. was supported by grants from the NIH grant F31DK137596 and the NIH T32 Biotechnology Training Program (GM135141). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. DisclosuresThe authors declare no competing interests.
- organism: mouse
- assay: bulk RNA-seq
- assay: ChIP-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 1
- FWCI
- 0.47
- Field percentile
- top 46%
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