The epidemic of obesity and metabolic syndrome has become the most serious global public health problem. The part played by microRNA (miRNA) in the onset and progression of obesity and metabolic syndrome has been increasingly focused upon. The goal of this study was to explore miR-335-5p as a potential predictive biomarker or therapeutic target for obesity and metabolic syndrome. The expression level of miR-335-5p was detected by qRT-PCR. The diagnostic value of miR-335-5p was evaluated by ROC curve. The association between serum miR-335-5p levels and various clinical parameters was assessed using the chi-square test. Logistic regression analysis was used to evaluate the risk factors of metabolic syndrome in obese population. The biological processes and molecular mechanisms are studied through GO and KEGG enrichment analysis. The ROC curve analysis revealed that miR-335-5p could serve as a predictive indicator for the development of obesity accompanied by metabolic syndrome. Logistic regression analysis revealed that BMI, TG, FBG, HOMA-IR, and miR-335-5p expression represent independent risk factors of metabolic syndrome occurrence. Chi-square test analysis revealed that patients with higher values of BMI, SBP, DBP, TG, FBG, and HOMA-IR exhibited a more significantly increased expression of miR-335-5p in their serum. In conclusion, miR-335-5p holds predictive and diagnostic value for obesity and metabolic syndrome and has potential to serve as a biomarker for these conditions.
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