Evidence map›Paper›PMID 39858422›Full record

ArticleBiomolecules2024

Plasma Levels of Propionylcarnitine Improved Prediction of Heart Failure and All-Cause Mortality in Patients with Stable Coronary Artery Disease.

Jairo Lumpuy-Castillo, Francisco J Rupérez, Brenda Lee Simas Porto, Carmen Cristóbal, Nieves Tarín, Ana Isabel Huelmos, Joaquín Alonso, Jesús Egido, Ignacio Mahíllo-Fernández, Lorenzo López-Bescós and 2 more

Abstract read
In one paragraph

Article in Biomolecules, 2024. 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

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Jairo Lumpuy-CastilloLaboratory of Vascular Pathology and Diabetes, IIS-Fundación Jiménez Díaz, 28040 Madrid, Spain.ORCID 0000-0002-3458-0328
Francisco J RupérezCenter of Excellence in Metabolomics and Bioanalysis, University of San Pablo CEU, 28003 Madrid, Spain.ORCID 0000-0001-6457-6234
Brenda Lee Simas PortoCenter of Excellence in Metabolomics and Bioanalysis, University of San Pablo CEU, 28003 Madrid, Spain.ORCID 0000-0003-3469-0284
Carmen CristóbalDepartment of Cardiology, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain.
Nieves TarínDepartment of Cardiology, Hospital Universitario de Móstoles, 28935 Madrid, Spain.
Ana Isabel HuelmosDepartment of Cardiology, Hospital Universitario Fundación Alcorcón, 28922 Madrid, Spain.
Joaquín AlonsoDepartment of Cardiology, Hospital de Getafe, 28905 Madrid, Spain.
Jesús EgidoDepartment of Medicine, Faculty of Medicine, Medicine Campus, Autónoma University, 28029 Madrid, Spain.ORCID 0000-0001-6321-2666
Ignacio Mahíllo-FernándezBiostatistics and Epidemiology Unit, IIS-Fundación Jiménez Díaz, 28040 Madrid, Spain.ORCID 0000-0003-0558-6541
Lorenzo López-BescósDepartment of Medical Specialties and Public Health, Faculty of Health Sciences, Alcorcón Campus, Rey Juan Carlos University, 28922 Madrid, Spain.
José TuñónDepartment of Medicine, Faculty of Medicine, Medicine Campus, Autónoma University, 28029 Madrid, Spain.ORCID 0000-0002-1373-0999
Óscar LorenzoLaboratory of Vascular Pathology and Diabetes, IIS-Fundación Jiménez Díaz, 28040 Madrid, Spain.ORCID 0000-0001-5515-6078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlasma metabolites could be suitable as predictive biomarkers for cardiovascular pathologies or death, thereby improving the prediction of protein biomarkers. The release of acylcarnitines may be altered after coronary artery disease (CAD) in subjects with recurrent clinical outcomes, and this could be used as a prognosis tool.

methodsPatients with stable coronary artery disease (SCAD) who had suffered an acute coronary syndrome 6-9 months before were followed for up to 4.3 years for adverse events. Soluble pro-inflammatory/fibrotic proteins, and a panel of 13 amino acids and 13 acylcarnitines, were evaluated by ELISA and metabolomics analyses as potential predictors of a primary outcome [heart failure (HF) or death].

resultsAmong 139 patients (67.0 years old, BMI = 28.6 kg/m

conclusionsPatients with SCAD led to recurrent HF or all-cause death. Interestingly, increased levels of plasma NGAL and Gal-3, and a reduction in propionylcarnitine, could predict the occurrence of these events.

Indexed as

CarnitineCoronary Artery DiseaseHeart FailureAgedBiomarkersFemaleHumansMaleMetabolomicsMiddle AgedPrognosisacylcarnitineBiomarkersCarnitinepropionylcarnitineacylcarnitinebiomarkerscoronary artery diseasemetabolomics

Identifiers

PMID39858422
PMCPMC11764408

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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.