Bioinformatics analysis to obtain critical genes regulated in subcutaneous adipose tissue after bariatric surgery

Adipocyte. 2022 Dec;11(1):550-561. doi: 10.1080/21623945.2022.2115212.

Abstract

Bariatric surgery (BS) is a dependable method for managing obesity and metabolic diseases, however, the regulatory processes of lipid metabolism are still not well elucidated. Differentially expressed genes (DEGs) were analysed through three transcriptomic datasets of GSE29409, GSE59034 and GSE72158 from the GEO database regarding subcutaneous adipose tissue (SAT) after BS, and 37 DEGs were identified. The weighted gene co-expression network analysis (WGCNA), last absolute shrinkage and selection operator (LASSO) logistic regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms further screened four key genes involved in the regulation of STMN2, SFRP4, APOE and MXRA5. The GSE53376 dataset was used to further confirm the differential expression of SFRP4, APOE and MXRA5 in the postoperative period. GSEA analysis reveals activation of immune-related regulatory pathways after surgery. Finally, the silencing of MXRA5 was found by experimental methods to affect the expression of PPARγ and CEBPα during the differentiation of preadipocytes, as well as to affect the formation of lipid droplets. In conclusion, SAT immunoregulation was mobilized after BS, while MXRA5 was involved in the regulation of lipid metabolism.

Keywords: MXRA5; Obesity; adipocytes; adipose tissue; bariatric surgery.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adipose Tissue
  • Apolipoproteins E
  • Bariatric Surgery*
  • Computational Biology*
  • Lipid Metabolism
  • Subcutaneous Fat

Substances

  • Apolipoproteins E

Grants and funding

This work was supported by the Changzhou High-Level Medical Talents Training Project (grant no. RC201602); Changzhou Scientific Support program for Social Development (grant no. CE20215039); Basic application project of Changzhou science and Technology Bureau (grant no.CJ20220142); Young Talents Project of Changzhou Health Commission (grant no.QN202121) and Changzhou Sci&Tech Program (grant no.CM20223008).