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Dataset Information

Construction of a diagnostic model for osteoarthritis based on transcriptomic immune-related genes.


ABSTRACT:

Background

Osteoarthritis (OA) is a leading cause of disability globally, affecting over 500 million individuals worldwide. However, accurate and early diagnosis of OA is challenging to achieve. Immune-related genes play an essential role in OA development. Therefore, the objective of this study was to develop a diagnostic model for OA based on immune-related genes identified in synovial membrane.

Methods

The gene expression profile of OA were downloaded based on four datasets. The significantly differentially expressed genes (DEGs) between OA and control groups were selected. The differential immune cells were analyzed, followed by immune-related DEGs screening. WGCNA was used to screen module genes and these genes were further selected through optimization algorithm. Then,

SUBMITTER: Chen B 

PROVIDER: S-EPMC10770511 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature