Serum microRNA panels predict bariatric surgery outcomes

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 ba...

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Published inObesity (Silver Spring, Md.) Vol. 30; no. 2; pp. 389 - 399
Main Authors Yeh, Jih‐Kai, Chen, Chia‐Chun, Liu, Keng‐Hau, Peng, Chen‐Ching, Lin, Tien‐An, Chang, Yu‐Sun, Wen, Ming‐Shien, Yeh, Ta‐Sen, Wang, Chao‐Yung
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.02.2022
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Summary: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.
Bibliography:Funding information
This project received support from the National Health Research Institute (NHRI‐EX106‐10617SI and NHRI‐110A1‐CSCO‐17212418), the National Science Council (105‐2628‐B‐182‐009‐MY4 and 109‐2314‐B‐182‐070‐MY3), Chang Gung Memorial Hospital (CMRPG3H0133, CMRPG3I0323, CMRPG3H0843, CORPG3H0291, CMRPG3L1151, and CMRPG3L0871), and the Molecular Medicine Research Center, Chang Gung University, from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE). The funding source is not involved in the study design, recruitment of patients, study interventions, data collection, or interpretation of the results.
Jih‐Kai Yeh and Chia‐Chun Chen contributed equally to this work.
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ISSN:1930-7381
1930-739X
DOI:10.1002/oby.23330