A Four-miRNA-Based Diagnostic Signature for Rheumatoid Arthritis.

ABSTRACT:

Background

As a chronic inflammatory disease, rheumatoid arthritis (RA) usually leads to cartilage and bone damage, even disability. Earlier detection and diagnosis are crucial to improve the therapeutic efficacy, and the aim of our study is to identify a potential diagnostic signature for RA.

Methods

We downloaded the GSE124373 dataset from the Gene Expression Omnibus (GEO) database. And differential expression analysis of miRNAs was conducted using the limma package of R language. The potential targeted mRNAs of differentially expressed miRNAs were predicted using the MiRTarBase database. The clusterProfiler package in R language was used to conduct functional enrichment analysis (GO term and KEGG pathway). Then, based on the key miRNAs screened by stepwise r

SUBMITTER: Jiang X 

PROVIDER: S-EPMC8889404 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature