Dataset Information

Unraveling Potential Biomarkers for Acute and Chronic Brucellosis Through Proteomic and Bioinformatic Approaches

ABSTRACT: This study aimed to identify potential biomarkers associated with acute and chronic brucellosis by employing advanced proteomic and bioinformatic methodologies. Blood samples from individuals with acute and chronic brucellosis and healthy controls were analyzed. Differentially expressed proteins (DEPs) were identified using differential expression analysis and weighted gene co-expression network analysis (WGCNA). A total of 25 DEPs were identified in all three pairwise comparisons, and 20 hub proteins were identified in the WGCNA analysis. Nine proteins overlapped between the two analyses, highlighting their potential importance in brucellosis. A random forest model based on these nine proteins demonstrated good classification performance for the three groups. Enrichment analysis revealed that these proteins are involved in various biological processes, including inflammation, coagulation, extracellular matrix regulation, and immune response. The results offer valuable insights into potential therapeutic targets or diagnostic biomarkers for brucellosis.

ORGANISM(S): Homo Sapiens

SUBMITTER: Ying Li

PROVIDER: PXD042212 | iProX | Fri May 12 00:00:00 BST 2023

REPOSITORIES: iProX

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

Yang Yuejie Y Qiao Kunyan K Yu Youren Y Zong Yanmei Y Liu Chang C Li Ying Y

Frontiers in cellular and infection microbiology 20230713

<h4>Introduction</h4>This study aimed to identify biomarkers for acute and chronic brucellosis using advanced proteomic and bioinformatic methods.<h4>Methods</h4>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 netw ...[more]

PMID: 37520434

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Project description:Type 2 diabetes mellitus (T2DM) is a complex metabolic disease with multiple etiologies, involving both genetic and environmental factors. With changes associated with modern life, increasing attention has been paid to chronic psychological stressors such as work stress. Chronic psychological stress can induce or aggravate diabetes mellitus, and conversely, with the deterioration of T2DM, patients often experience different degrees of depression, anxiety, and other negative emotions. To elucidate the role of ZiBuPiYin recipe (ZBPYR) in regulating the liver mitochondria-associated endoplasmic reticulum membrane proteome to improve T2DM with chronic psychological stress, differentially expressed proteins (DEPs) were identified among Zucker lean littermates (control group), chronic psychological stress T2DM rats (model group), and ZBPYR administration rats (ZBPYR group) via iTRAQ with LC-MS/MS. Using Mfuzz soft clustering analysis, DEPs were divided into six different clusters. Clusters 1-6 contained 5, 68, 44, 57, 28, and 32 DEPs, respectively. Given that ZBPYR can alleviate T2DM symptoms and affect exploratory behavior during T2DM with chronic psychological stress, we focused on the clusters with opposite expression trends between model:control and ZBPYR:model groups. We screened out the DEPs in clusters 1, 3, and 4, which may be good candidates for the prevention and treatment of T2DM with chronic psychological stress, and further conducted bioinformatics analyses. DEPs were mainly involved in the insulin signaling pathway, oxidative phosphorylation, tricarboxylic acid cycle, amino acid metabolism, lysosome-related processes, and lipid metabolism. This may indicate the pathogenic basis of T2DM with chronic psychological stress and the potential therapeutic mechanism of ZBPYR. In addition, two key proteins, a lysosome-associated protein (Lamp2) and tricarboxylic acid cycle-related protein (Suclg1), may represent novel biomarkers for T2DM with chronic psychological stress and drug targets of ZBPYR.

Dataset Information

Unraveling Potential Biomarkers for Acute and Chronic Brucellosis Through Proteomic and Bioinformatic Approaches

Publications

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

Similar Datasets

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