title: Serum Cytokine Profile in Relation to the Severity of Coronary Artery Disease.
abstract: Objectives. To investigate the potential association of a set of serum cytokines with the severity of coronary artery disease (CAD).Methods. A total of 201 patients who underwent coronary angiography for chest discomfort were enrolled. The concentrations of serum IFN-γ, TNF-α, IL-2, IL-4, IL-6, IL-10, IL-9, and IL-17 were determined by xMAP multiplex technology. The CAD severity was assessed by Gensini score (GS).Results. The serum levels of TNF-α, IL-6, IL-9, IL-10, and IL-17 were significantly higher in high GS group (GS ≥ 38.5) than those in low GS group (GS < 38.5). Positive correlations were also found between these cytokines and the severity of CAD. After adjustment for other associated factors, three serum cytokines (IL-6, IL-9, and IL-17) and two clinical risk factors (creatinine and LDL-C) were identified as the independent predictors of increased severity of CAD. ROC curve analysis revealed that the logistic regression risk prediction model had a good performance on predicting CAD severity.Conclusions. Combinatorial analysis of serum cytokines (IL-6, IL-9, and IL-17) with clinical risk factors (creatinine and LDL-C) may contribute to the evaluation of the severity of CAD and may help guide the risk stratification of angina patients, especially in primary health facilities and in the catheter lab resource-limited settings.
authors.affiliation: Department of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Xiaoyan
authors.identifier: 0000-0002-7702-6028
authors.initials: X
authors.lastname: Min
authors.affiliation: Department of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Miao
authors.initials: M
authors.lastname: Lu
authors.affiliation: Department of Emergency, Wuxi No. 2 People's Hospital Affiliated Nanjing Medical University, Wuxi 214000, China.
authors.forename: Su
authors.initials: S
authors.lastname: Tu
authors.affiliation: Department of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Xiangming
authors.initials: X
authors.lastname: Wang
authors.affiliation: Department of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Chuanwei
authors.initials: C
authors.lastname: Zhou
authors.affiliation: Department of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Sen
authors.initials: S
authors.lastname: Wang
authors.affiliation: Department of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Sisi
authors.initials: S
authors.lastname: Pang
authors.affiliation: Department of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Jin
authors.initials: J
authors.lastname: Qian
authors.affiliation: Institute of Pathogenic Microbiology, Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China.
authors.forename: Yiyue
authors.initials: Y
authors.lastname: Ge
authors.affiliation: Department of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Guo
authors.affiliation: Department of Geriatric Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Di
authors.identifier: 0000-0003-1753-7616
authors.initials: D
authors.lastname: Xu
authors.affiliation: Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Kejiang
authors.identifier: 0000-0002-4542-3811
authors.initials: K
authors.lastname: Cao
mesh_terms: D000368:Aged; D000787:Angina Pectoris / Q000097:blood* / Q000473:pathology; D008078:Cholesterol, LDL / Q000097:blood; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000097:blood* / Q000000981:diagnostic imaging* / Q000473:pathology; D003404:Creatinine / Q000097:blood; D016207:Cytokines / Q000097:blood*; D005260:Female; D006801:Humans; D020381:Interleukin-17 / Q000097:blood; D015850:Interleukin-6 / Q000097:blood; D016906:Interleukin-9 / Q000097:blood; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012720:Severity of Illness Index
chemical_list: D008078:Cholesterol, LDL; D016207:Cytokines; C508717:IL17A protein, human; C508607:IL9 protein, human; D020381:Interleukin-17; D015850:Interleukin-6; D016906:Interleukin-9; D003404:Creatinine