Identification of five hub immune genes and characterization of two immune subtypes of osteoarthritis.

ABSTRACT:

Background

Osteoarthritis (OA) is one of the most prevalent chronic diseases, leading to degeneration of joints, chronic pain, and disability in the elderly. Little is known about the role of immune-related genes (IRGs) and immune cells in OA.

Method

Hub IRGs of OA were identified by differential expression analysis and filtered by three machine learning strategies, including random forest (RF), least absolute shrinkage and selection operator (LASSO), and support vector machine (SVM). A diagnostic nomogram model was then constructed by using these hub IRGs, with receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and clinical impact curve analysis (CICA) estimating its performance and clinical impact. Hierarchical clustering analysis was then conduc

SUBMITTER: Pan L 

PROVIDER: S-EPMC10060864 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature