Unravelling potential biomarkers for acute and chronic brucellosis through proteomic and bioinformatic approaches.

ABSTRACT:

Introduction

This study aimed to identify biomarkers for acute and chronic brucellosis using advanced proteomic and bioinformatic methods.

Methods

Blood samples from individuals with acute brucellosis, chronic brucellosis, and healthy controls were analyzed. Proteomic techniques and differential expression analysis were used to identify differentially expressed proteins. Co-expression modules associated with brucellosis traits were identified using weighted gene co-expression network analysis (WGCNA).

Results

763 differentially expressed proteins were identified, and two co-expression modules were found to be significantly associated with brucellosis traits. 25 proteins were differentially expressed in all three comparisons, and 20 hub proteins were identified. Nine p

SUBMITTER: Yang Y 

PROVIDER: S-EPMC10373591 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature