Understanding the role of potential biomarkers in attenuating multiple sclerosis progression via multiomics and network-based approach.

ABSTRACT:

Background

Multiple sclerosis (MS) is a complex neurological disorder marked by neuroinflammation and demyelination. Understanding its molecular basis is vital for developing effective treatments. This study aims to elucidate the molecular progression of MS using multiomics and network-based approach.

Methods

We procured differentially expressed genes in MS patients and healthy controls by accessing mRNA dataset from a publicly accessible database. The DEGs were subjected to a non-trait weighted gene co-expression network (WGCN) for hub DEGs identification. These hub DEGs were utilized for enrichment, protein-protein interaction network (PPIN), and feed-forward loop (FFL) analyses.

Results

We identified 880 MS-associated DEGs. WGCN revealed a total of 122 hub DEGs of

SUBMITTER: Shriwash N 

PROVIDER: S-EPMC11658499 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature