Bioinformatic Analysis Identifies Biomarkers and Treatment Targets in Primary Sjogren's Syndrome Patients with Fatigue.

ABSTRACT: We aim to identify the common genes, biological pathways, and treatment targets for primary Sjögren's syndrome patients with varying degrees of fatigue features. We select datasets about transcriptomic analyses of primary Sjögren's syndrome (pSS) patients with different degrees of fatigue features and normal controls in peripheral blood. We identify common differentially expressed genes (DEGs) to find shared pathways and treatment targets for pSS patients with fatigue and design a protein-protein interaction (PPI) network by some practical bioinformatic tools. And hub genes are detected based on the PPI network. We perform biological pathway analysis of common genes by Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Lastly, potential treatment targets f

SUBMITTER: Chen G 

PROVIDER: S-EPMC8783724 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature