A correlation-based network for biomarker discovery in obesity with metabolic syndrome

• Published in: BMC bioinformatics Vol. 20; no. S6; pp. 477 - 10
• Main Authors: Chen, Pin-Yen, Cripps, Allan W., West, Nicholas P., Cox, Amanda J., Zhang, Ping
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 10.12.2019; BioMed Central; BMC
• Subjects: Abundance; Analysis; Anthropometry; Biological markers; Biomarkers; Biomarkers - blood; Biomarkers - metabolism; Blood platelets; Blood pressure; Body mass index; Body weight; Chronic diseases; Chronic illnesses; Computational Biology; Correlation analysis; Cytokines; Cytotoxicity; Datasets; Dendritic cells; Development and progression; Diabetes; Digestive system; Diseases; Female; Granulocytes; Gut microbiome; Hubs; Humans; Immune system; Immunoregulation; Inflammation; Interferon; Intestinal microflora; Leukocytes (neutrophilic); Lipoproteins; Lymphocytes; Lymphocytes T; Male; Medical research; Metabolic disorders; Metabolic syndrome; Metabolic Syndrome - blood; Metabolic Syndrome - diagnosis; Metabolic Syndrome - metabolism; Microbiomes; Microbiota; Microorganisms; Network analysis; Obesity; Obesity - blood; Obesity - diagnosis; Obesity - metabolism; Proteins; Studies; T cells; Tumor necrosis factor-TNF; Type 2 diabetes; Vascular endothelial growth factor; Weight; Multidimensional data; Obesity; Network analysis; Inflammation; Metabolic syndrome; Multivariate analysis; Gut microbiome; Immune system

Obesity is associated with chronic activation of the immune system and an altered gut microbiome, leading to increased risk of chronic disease development. As yet, no biomarker profile has been found to distinguish individuals at greater risk of obesity-related disease. The aim of this study was to...