Systematic review and meta-analysis of association of polymorphisms in inflammatory cytokine genes with coronary artery disease

• Published in: Inflammation research 2020-10, Vol.69 (10), p.1001-1013
• Main Authors: Tabaei, Samira, Motallebnezhad, Morteza, Tabaee, Seyedeh Samaneh
• Format: Article
• Language: English
• Subjects: Allergology; Biomedical and Life Sciences; Biomedicine; Cardiovascular disease; Confidence intervals; Coronary artery; Coronary artery disease; Coronary vessels; Cytokines; Dermatology; Gene polymorphism; Heart diseases; Immunology; Inflammation; Interleukin 6; Meta-analysis; Neurology; Pharmacology/Toxicology; Polymorphism; Population studies; Review; Rheumatology; Surveying; Susceptibility; Tumor necrosis factor-TNF; Tumor necrosis factor-α
• ISSN: 1023-3830; 1420-908X
• DOI: 10.1007/s00011-020-01385-3

Background It has comprehensively been acknowledged that a genetic contribution, especially in immune inflammatory players, such as interleukin (IL)-6 and tumor necrosis factor (TNF)-α, are critically involved in the pathophysiology of coronary artery disease (CAD). This meta-analysis study aimed to reach a conclusive understanding of the role of genetic polymorphisms, including IL6 gene C572G (rs1800796) and G174C (rs1800795) as well as TNFA gene G238A (rs361525) and G308A (rs1800629) in susceptibility to CAD. Methods Two major databases, namely MEDLINE and Scopus, were searched to find the studies surveying the mentioned polymorphisms and CAD susceptibility up to July 2020. Association comparison between the polymorphisms and CAD susceptibility were assessed using pooled odds ratio (OR) and their corresponding 95% confidence interval (CI). Results This meta-analysis study was conducted on 69 papers (73 population studies), comprising 5062 patients and 8446 controls for IL6 gene rs1800796 (17 studies), 13801 patients and 16215 controls for IL6 gene rs1800795 (38 studies), 1439 patients and 2850 controls for TNFA gene rs361525 (5 studies), and 5051 patients and 3958 controls for TNFA gene rs1800629 (13 studies), according to inclusion and exclusion criteria. There were statistically positive association between all genetic comparisons of IL6 gene rs1800795 polymorphism and the CAD risk. Moreover, the recessive model (CC vs. CG + GG) in IL6 gene rs1800796 polymorphism had marginally significant association with decreased risk of CAD. None of the TNFA gene polymorphisms were associated with CAD risk. Conclusions The meta-analysis revealed the positive association of IL6 gene rs1800795 polymorphism in susceptibility to CAD.