Screening of key pathogenic genes in advanced knee osteoarthritis based on bioinformatics analysis.

ABSTRACT:

Background

At present, the progression mechanism of knee osteoarthritis (KOA) has not been fully elucidated, and there is a clinical need for late KOA-specific diagnostic markers to provide reference for preventive treatment. This study aimed to analyze the sequencing results of early- and late-stage KOA synovial tissue based on the key genes of late-stage KOA in combination with a machine learning algorithm.

Methods

The whole transcriptome sequencing results of synovial tissue from KOA patients (GSE176223 and GSE32317) were downloaded from the gene expression omnibus (GEO) database. Thirty-nine early KOA synovial tissue samples and 31 late KOA synovial tissue samples were included in this study. The diagnostic criteria and baseline data balance of early and late KOA were re

SUBMITTER: Yang Y 

PROVIDER: S-EPMC9577766 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature