Potential diagnostic value of circulating miRNAs in HFrEF and bioinformatics analysis

• DOI: 10.1016/j.heliyon.2024.e37929
• Publication Date: 2024-09-20T16:29:51Z
• Authors: Zheng Kuai; Yuanji Ma; Wei Gao; Xiaoxue Zhang; Xiaoyan Wang; Yangli Ye; Xiaoyi Zhang; Jie Yuan
• Keywords: Value (mathematics)

Abstract Few studies have compared the performances of those reported miRNAs as biomarkers for heart failure with reduced EF (HFrEF) in a population at high risk. The purpose of this study is to investigate comprehensively the performance of those miRNAs as biomarkers for HFrEF. By using bioinformatics methods, we also examined these miRNAs' target genes and possible signal transduction pathways. We collected serum samples from patients with HFrEF at Zhongshan Hospital. Receiver operating characteristic (ROC) curves were used to evaluate the accuracy of those miRNAs as biomarkers for HFrEF. miRWALK2.0, Gene Ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed to predict the target genes and pathways of selected miRNAs. The study included 48 participants, of whom 30 had HFrEF and 18 had hypertension with normal left ventricular ejection fraction (LVEF). MiR-378, miR-195-5p were significantly decreased meanwhile ten miRNAs were remarkably elevated (miR-21-3p, miR-21-5p, miR-106-5p, miR-23a-3p, miR-208a-3p, miR-1-3p, miR-126-5p, miR-133a-3p, miR-133b, miR-223-3p) in the serum of the HFrEF group. All miRNAs had an area under the curve (AUC) > 0.70, except for miR-21-5p and miR-22a-3p. The combination of miR 133a-3p, miR 106b-5p, miR 1-3p, miR 133b, and miR 378 has a good diagnostic performance for HFrEF and multitudes of possible mechanisms/pathways through which dysregulation of these miRNAs may affect the crapshoot of HFrEF.