Evidence map›Paper›PMID 41555250›Full record

ArticleBMC cardiovascular disorders2026

IL-6 and lL-17 as potential biomarkers for premature coronary artery disease: a cross-sectional study.

Kexin Yang, Sheng Liu, Chenyang Wang, Siyao Ni, Zhijian Yue, Ludan Bi, Yunxiao Yang, Ming Zhang

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kexin YangCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Sheng LiuCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Chenyang WangCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Siyao NiCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zhijian YueCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Yanqing Township Community Health Center, Yanqing District, Beijing, China.
Ludan BiCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yunxiao YangCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Ming ZhangCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China. zhangming2279@hotmail.com.

Funding

the National Natural Science Foundation of China No. 82170453
6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is a chronic inflammatory condition, with cytokines playing a crucial role. However, their involvement in premature CAD (pCAD) remains unclear. This study investigates the relationship between cytokines and pCAD.

methodsA total of 986 patients (males ≤ 55 years, females ≤ 65 years) were classified into pCAD and non-CAD groups based on coronary angiography. Serum levels of 12 cytokines, including Interleukin–1β (IL–1β), IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17, tumor necrosis factor–α (TNF–α), interferon–α (IFN–α), and IFN-γ, were measured. Spearman correlation and binary logistic regression were used to evaluate the relationship between cytokines and pCAD. The predictive performance of the multivariable logistic regression model was evaluated using ROC curve analysis.

resultsSerum levels of IL-6 (P < 0.001) and IL-17 (P = 0.048) were significantly higher in the pCAD group. In males, both IL-6 (P = 0.039) and IL-17 (P = 0.039) levels were higher compared to non-CAD, while in females, only IL-6 was significantly different (P = 0.008). Moreover, IL-6 showed moderate positive correlations with hsTnI (r = 0.490, P < 0.001) and hsCRP (r = 0.542, P < 0.001). IL-17 (OR = 1.042, 95% CI: 1.005–1.080, P = 0.026), hsTnI (OR = 1.038, 95% CI: 1.008–1.069, P = 0.014), diabetes (OR = 1.903, 95% CI: 1.160–3.121, P = 0.011), and aspirin use (OR = 1.766, 95% CI: 1.131–2.757, P = 0.010) were independent risk factors for pCAD. ROC analysis showed an AUC of 0.792 for the full model and 0.747 for significant predictors.

conclusionIL-6 and IL-17 were significantly higher in the pCAD group. IL-6 was positively correlated with hsTnI and hsCRP. IL-17, hsTnI, diabetes, and aspirin use were independent risk factors, highlighting inflammation’s significance in pCAD.

Indexed as

Coronary Artery DiseaseInflammation MediatorsInterleukin-17Interleukin-6AdultAge of OnsetBiomarkersCoronary AngiographyCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPredictive Value of TestsBiomarkersIL17A protein, humanIL6 protein, humanInflammation MediatorsInterleukin-17Interleukin-6AtherosclerosisIL-17IL-6InflammationPremature coronary artery disease (pCAD)

Identifiers

PMID41555250
PMCPMC12903338

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.