Abstract
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.
Keywords
obesity - metabolic syndrome - mir-335-5p - diagnosis
