A comprehensive analysis of biomarkers associated with synovitis and chondrocyte apoptosis in osteoarthritis.

ABSTRACT:

Introduction

Osteoarthritis (OA) is a chronic disease with high morbidity and disability rates whose molecular mechanism remains unclear. This study sought to identify OA markers associated with synovitis and cartilage apoptosis by bioinformatics analysis.

Methods

A total of five gene-expression profiles were selected from the Gene Expression Omnibus database. We combined the GEO with the GeneCards database and performed Gene Ontology and Kyoto Encyclopedia of Genes and Genome analyses; then, the least absolute shrinkage and selection operator (LASSO) algorithm was used to identify the characteristic genes, and a predictive risk score was established. We used the uniform manifold approximation and projection (UMAP) method to identify subtypes of OA patients, while the CytoHu

SUBMITTER: Yang L 

PROVIDER: S-EPMC10401591 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature