ArticlePLoS medicine2021
Plasma proteins associated with cardiovascular death in patients with chronic coronary heart disease: A retrospective study.
Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 76 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
LPL100601, A Clinical Outcomes Study of Darapladib Versus Placebo in Subjects With Chronic Coronary Heart Disease to Compare the Incidence of Major Adverse Cardiovascular Events (MACE)
Reducing Heart Failure Risk in Late-Life With Physical Activity: Impact on Cardiac Structure and Function and Proteomic Signatures
Who cites it
76 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Chitinase‑3 like‑protein‑1: A potential predictor of cardiovascular disease (Review).Molecular medicine reports · 2024Pooled it
- Proteomics for heart failure risk stratification: a systematic review.BMC medicine · 2024Pooled it
- Diagnostic and prognostic value of serum soluble suppression of tumorigenicity-2 in heart failure with preserved ejection fraction: A systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2022Pooled it
- Plasma Protein Biomarkers and Long-Term Cardiovascular Mortality Risk in Patients With Chronic Coronary Heart Disease.Journal of the American Heart Association · 2024Trial
- Multi-Omics and Artificial Intelligence in Cardiovascular Medicine: From Mechanistic Insights to Clinical Translation.Biomedicines · 2026Review
- Plasma proteomics improves risk prediction in heart failure and reveals unique biology in chronic chagas cardiomyopathy.PLoS neglected tropical diseases · 2026Article
- CHI3L1: a novel regulator of vascular remodeling in pulmonary arterial hypertension.Molecular and cellular biochemistry · 2026Article
- Unsupervised learning reveals novel disease-associated proteins in high-dimensional human proteomic data.Scientific reports · 2026Article
- Blood pressure, plasma proteins, and cardiovascular diseases: a network Mendelian randomization and observational study.European heart journal · 2026Observational
- Proteomic machine-learning signatures associated with carotid plaque: A population-based hypothesis-generating study.PloS one · 2026Article
- Sex-specific proteomic signatures improve cardiovascular risk prediction for the general population without cardiovascular disease or diabetes.Journal of advanced research · 2026Article
- Modifiable influencing factors and their joint effects on early- and late-onset coronary heart disease.Nature communications · 2025Article
- GDF15: An emerging disease target and biomarker of metabolic diseases.Journal of endocrinological investigation · 2025Review
- Salivary small extracellular vesicles reveal protein signatures in young patients with coronary artery disease.Clinical proteomics · 2025Article
- Common inflammatory proteins linking frailty and area-level deprivation as key drivers of cardiovascular risk in women.Communications medicine · 2025Article
- Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice.Journal of translational medicine · 2025Review
- Plasma proteins are integral to gene-regulatory networks acting within and across blood cells, the arterial wall and major metabolic organs.medRxiv : the preprint server for health sciences · 2025Article
- Allergic disease and keratoconus: A two-sample univariable and multivariable Mendelian randomization study.The World Allergy Organization journal · 2024Article
- Association of plasma proteomics with mortality in individuals with and without type 2 diabetes: Results from two population-based KORA cohort studies.BMC medicine · 2024Article
- Sustained IL-6 and sTNF-αR1 levels after hip fracture predict 5-year mortality: A prospective cohort study from the Baltimore Hip Studies.Journal of the American Geriatrics Society · 2024Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCirculating biomarkers are associated with the development of coronary heart disease (CHD) and its complications by reflecting pathophysiological pathways and/or organ dysfunction. We explored the associations between 157 cardiovascular (CV) and inflammatory biomarkers and CV death using proximity extension assays (PEA) in patients with chronic CHD. METHODS AND
findingsThe derivation cohort consisted of 605 cases with CV death and 2,788 randomly selected non-cases during 3-5 years follow-up included in the STabilization of Atherosclerotic plaque By Initiation of darapLadIb TherapY (STABILITY) trial between 2008 and 2010. The replication cohort consisted of 245 cases and 1,042 non-cases during 12 years follow-up included in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study between 1997 and 2000. Biomarker levels were measured with conventional immunoassays and/or with the OLINK PEA panels CVD I and Inflammation. Associations with CV death were evaluated by Random Survival Forest (RF) and Cox regression analyses. Both cohorts had the same median age (65 years) and 20% smokers, while there were slight differences in male sex (82% and 76%), hypertension (70% and 78%), and diabetes (39% and 30%) in the respective STABILITY and LURIC cohorts. The analyses identified 18 biomarkers with confirmed independent association with CV death by Boruta analyses and statistical significance (all p < 0.0001) by Cox regression when adjusted for clinical characteristics in both cohorts. Most prognostic information was carried by N-terminal prohormone of brain natriuretic peptide (NTproBNP), hazard ratio (HR for 1 standard deviation [SD] increase of the log scale of the distribution of the biomarker in the replication cohort) 2.079 (95% confidence interval [CI] 1.799-2.402), and high-sensitivity troponin T (cTnT-hs) HR 1.715 (95% CI 1.491-1.973). The other proteins with independent associations were growth differentiation factor 15 (GDF-15) HR 1.728 (95% CI 1.527-1.955), transmembrane immunoglobulin and mucin domain protein (TIM-1) HR 1.555 (95% CI 1.362-1.775), renin HR 1.501 (95% CI 1.305-1.727), osteoprotegerin (OPG) HR 1.488 (95% CI 1.297-1.708), soluble suppression of tumorigenesis 2 protein (sST2) HR 1.478 (95% CI 1.307-1.672), cystatin-C (Cys-C) HR 1.370 (95% CI 1.243-1.510), tumor necrosis factor-related apoptosis-inducing ligand receptor 2 (TRAIL-R2) HR 1.205 (95% CI 1.131-1.285), carbohydrate antigen 125 (CA-125) HR 1.347 (95% CI 1.226-1.479), brain natriuretic peptide (BNP) HR 1.399 (95% CI 1.255-1.561), interleukin 6 (IL-6) HR 1.478 (95% CI 1.316-1.659), hepatocyte growth factor (HGF) HR 1.259 (95% CI 1.134-1.396), spondin-1 HR 1.295 (95% CI 1.156-1.450), fibroblast growth factor 23 (FGF-23) HR 1.349 (95% CI 1.237-1.472), chitinase-3 like protein 1 (CHI3L1) HR 1.284 (95% CI 1.129-1.461), tumor necrosis factor receptor 1 (TNF-R1) HR 1.486 (95% CI 1.307-1.689), and adrenomedullin (AM) HR 1.750 (95% CI 1.490-2.056). The study is limited by the differences in design, size, and length of follow-up of the 2 studies and the lack of results from coronary angiograms and follow-up of nonfatal events.
conclusionsProfiles of levels of multiple plasma proteins might be useful for the identification of different pathophysiological pathways associated with an increased risk of CV death in patients with chronic CHD.
trial registrationClinicalTrials.gov NCT00799903.
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Registered trials
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.