Serum microRNA panels predict bariatric surgery outcomes

Obesity (Silver Spring). 2022 Feb;30(2):389-399. doi: 10.1002/oby.23330.

Abstract

Objective: The weight losses after bariatric surgery are modulated by multiple factors in people with obesity. MicroRNAs (miRNAs) have been reported to show significant regulatory roles in adipose tissue. However, a serum miRNA signature to serve as a biomarker of sustained weight losses following bariatric surgery has not yet been established.

Methods: MiRNA microarray was used to identify differentially expressed miRNAs in the serum of patients with an effective response after bariatric surgery compared with those without. Excess weight loss > 55% at 6 months after surgery was defined as an effective response.

Results: Three miRNAs were shown to have a significantly differential expression between patients with or without an effective response following bariatric surgery. The miR-31-5p was downregulated, whereas miR-328-3p and miR-181a-5p were upregulated in the patients with effective responses compared with those without effective responses. Panels of the serum ratios of miR-328-3p/miR-31-5p or miR-181a-5p/miR-31-5p and individual BMI value exhibited good performance in preoperative prediction of treatment effectiveness. Bioinformatic analysis depicted that predicted targets of these miRNAs were involved in the regulation of the AMP-activated protein kinase signaling pathway.

Conclusions: A circulating miRNA signature with clinical variables (BMI) can be a clinical biomarker to predict effectiveness following bariatric surgery.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bariatric Surgery*
  • Biomarkers
  • Computational Biology
  • Gene Expression Profiling
  • Humans
  • MicroRNAs* / metabolism
  • Weight Loss / genetics

Substances

  • Biomarkers
  • MicroRNAs