江苏大学学报（医学版）2025，Vol.35Issue(2)：171-179,9.DOI:10.13312/j.issn.1671-7783.y240081
基于生物信息学探究帕金森病miRNA-mRNA调控网络及作用机制
Exploration of the clinical value and identification of Parkinson's disease biomarkers miR-214 and STAT3 in the miRNA-mRNA regulatory network based on bioinformatics analysis
摘要
Abstract
Objective:To investigate key microRNAs(miRNAs)and mRNAs involved in the pathogenesis of Parkinson's disease(PD)through bioinformatics analysis and clinical experiments,and identify mRNAs and miRNAs with diagnostic and therapeutic potential.Methods:mRNA and miRNA sequencing data from the Parkinson's progression markers initiative(PPMI)were analyzed to identify differentially expressed genes(DEGs).Machine learning algorithms were applied to determine critical miRNAs.Target genes of these miRNAs were predicted using multiple miRNA-mRNA interaction databases.Predicted targets were cross-matched with DEGs to construct an miRNA-mRNA regulatory network.Protein-protein interaction(PPI)networks were built by using the STRING database and Cytoscape software to identify hub genes.Quantitative real-time polymerase chain reaction(qRT-PCR)was performed on clinically collected samples to validate the identified hub genes and miRNAs.Results:Through differential gene expression analysis(DEGA)combined with machine learning,two key miRNAs-miR-214 and miR-421-were identified.Further analysis using weighted gene co-expression network analysis(WGCNA),miRNA-mRNA interaction databases,and PPI network screening revealed STAT3 as the hub gene.Clinical validation confirmed the correlation between miR-214 and STAT3 expression,demonstrating their diagnostic efficacy.Conclusion:MiR-214 may suppress STAT3 expression,thereby alleviating aberrant aggregation of α-synuclein,inflammatory responses,and oxidative stress in PD pathogenesis.Both miR-214/STAT3 demonstrated strong diagnostic predictive efficacy in clinical samples and exhibited potential as therapeutic targets for PD.关键词
帕金森病/miR-214/信号转导和转录激活因子 3/生物信息学/生物标志物Key words
Parkinson's disease/miR-214/signal transduction and transcription activating factor 3(STAT3)/bioinformatics/biomarkers分类
临床医学引用本文复制引用
韩廷灿,徐宇浩,朱颖,于明..基于生物信息学探究帕金森病miRNA-mRNA调控网络及作用机制[J].江苏大学学报（医学版）,2025,35(2):171-179,9.基金项目
江苏省卫生健康委2022年度医学科研重点项目(ZD2022062) （ZD2022062）
江苏大学医教协同创新基金重点项目(JDY2023002) （JDY2023002）
