ArticleScientific reports2018
Prediction of coronary disease incidence by biomarkers of inflammation, oxidation, and metabolism.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- Effects of probiotics on lipid metabolism, oxidation, and inflammation in coronary heart disease: a systematic review and meta-analysis.Frontiers in nutrition · 2025Pooled it
- A systematic review and meta-analysis of the stability of peripheral immune markers in healthy adults.Brain, behavior, and immunity · 2023Pooled it
- Does psychological treatment of major depression reduce cardiac risk biomarkers? An exploratory randomized controlled trial.Psychological medicine · 2023Trial
- Cohort Profile: The Girona Heart Registry.International journal of epidemiology · 2025Article
- Role of IL-2, IL-6, and TNF-α as Potential Biomarkers in Ischemic Heart Disease: A Comparative Study of Patients with CAD and Non-CAD.Medical sciences (Basel, Switzerland) · 2025Observational
- Review
- Mendelian randomization analysis using multiple biomarkers of an underlying common exposure.Biostatistics (Oxford, England) · 2024Article
- Remote dried blood spot collection for inflammatory markers in older adults is feasible, reliable, and valid.Brain, behavior, and immunity · 2024Article
- Effect of Serum IL-6 Levels on the Progression of Non-Target Lesions in Patients after Coronary Stenting.Reviews in cardiovascular medicine · 2024Article
- Dyslipidemia and associated factors among adult cardiac patients: a hospital-based comparative cross-sectional study.European journal of medical research · 2024Article
- An ImmunoFET Coupled with an Immunomagnetic Preconcentration Technique for the Sensitive EIS Detection of HF Biomarkers.Micromachines · 2024Article
- Dietary Patterns, Nutritional Status and Inflammatory Biomarkers in Adolescents from the RPS Birth Cohort Consortium.Nutrients · 2023Article
- Five-Year Changes in Inflammatory, Metabolic, and Oxidative Biomarkers and 10-Year Cardiovascular Disease Incidence: The REGICOR Cohort Study.International journal of molecular sciences · 2023Article
- Introducing Circulating Vasculature-Related Transcripts as Biomarkers in Coronary Artery Disease.Molecular diagnosis & therapy · 2023Article
- Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis.Frontiers in cardiovascular medicine · 2023Review
- Prognostic Modelling Studies of Coronary Heart Disease-A Systematic Review of Conventional and Genetic Risk Factor Studies.Journal of cardiovascular development and disease · 2022Review
- Circulating Thrombomodulin: Release Mechanisms, Measurements, and Levels in Diseases and Medical Procedures.TH open : companion journal to thrombosis and haemostasis · 2022Review
- Plaque erosion and acute coronary syndromes: phenotype, molecular characteristics and future directions.Nature reviews. Cardiology · 2021Review
- Recognized and Potentially New Biomarkers-Their Role in Diagnosis and Prognosis of Cardiovascular Disease.Medicina (Kaunas, Lithuania) · 2021Review
- Lipid biomarkers in statin users with coronary artery disease annotated by coronary computed tomography angiography.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The effect of circulating biomarkers in predicting coronary artery disease (CAD) is not fully elucidated. This study aimed to determine the relationship with CAD and the predictive capacity of nine biomarkers of inflammation (TNF-α, IL-10, IL-6, MCP-1, CRP), oxidation (GHS-Px), and metabolism (adiponectin, leptin, and insulin). This was a case-cohort study, within the REGICOR population-cohorts (North-Eastern Spain), of 105 CAD cases and 638 individuals randomly selected from a cohort of 5,404 participants aged 35-74 years (mean follow-up = 6.1 years). Biomarkers' hazard ratio (HR)/standard deviation was estimated with Cox models adjusted for age, sex, and classical risk factors. Discrimination improvement and reclassification were analyzed with the c-index and the Net reclassification index (NRI). GHS-Px (adjusted HRs = 0.77; 95%CI:0.60-0.99), insulin (1.46; 1.08-1.98), leptin (1.40; 1.03-1.90), IL-6 (1.34; 1.03-1.74), and TNF-α (1.80; 1.26-2.57) were significantly associated with CAD incidence. In the model adjusted for all biomarkers, TNF-α (1.87;1.31-2.66) and insulin (1.59;1.16-2.19) were independently associated with CAD. This final model, compared to a model without biomarkers, showed a c-index difference of 1.3% (-0.7, 3.2) and a continuous NRI of 33.7% (2.6, 61.9). TNF-α and insulin are independently associated with CAD incidence and they improve reclassification when added to a model including classical risk factors.
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