Evidence map›Paper›PMID 32914213›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2020

Urinary metabolic signatures reflect cardiovascular risk in the young, middle-aged, and elderly populations.

Paula J Martinez, Marta Agudiez, Dolores Molero, Marta Martin-Lorenzo, Montserrat Baldan-Martin, Aranzazu Santiago-Hernandez, Juan Manuel García-Segura, Felipe Madruga, Martha Cabrera, Eva Calvo and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

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

13 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Urinary metabolic age from high-resolution nuclear magnetic resonance spectroscopy reveals longitudinal aging patterns.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 1 country.

Paula J MartinezDepartment of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain.
Marta AgudiezDepartment of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain.
Dolores MoleroCAI-RMN, Universidad Complutense de Madrid, Madrid, Spain.
Marta Martin-LorenzoDepartment of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain.
Montserrat Baldan-MartinDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos SESCAM, Toledo, Spain.
Aranzazu Santiago-HernandezDepartment of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain.
Juan Manuel García-SeguraCAI-RMN, Universidad Complutense de Madrid, Madrid, Spain.
Felipe MadrugaDepartament of Geriatrics, Hospital Virgen del Valle, SESCAM, Toledo, Spain.
Martha CabreraIbermutuamur, Madrid, Spain.
Eva CalvoIbermutuamur, Madrid, Spain.
Gema Ruiz-HurtadoCardiorenal Translational Laboratory, Instituto de Investigación I+12, Hospital Universitario 12 de Octubre, Madrid, Spain.
Maria G BarderasDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos SESCAM, Toledo, Spain.
Fernando VivancoDepartment of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain.
Luis M RuilopeCardiorenal Translational Laboratory, Instituto de Investigación I+12, Hospital Universitario 12 de Octubre, Madrid, Spain.
Gloria Alvarez-LlamasDepartment of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain. galvarez@fjd.es.ORCID 0000-0002-3313-721X
Hospital Universitario Fundación Jiménez Díaz · ESUniversidad Complutense de Madrid · ESCentro de Investigación en Red en Enfermedades Cardiovasculares · ESServicio de Salud de Castilla La Mancha · ESHospital Virgen del Valle · ESSpanish Clinical Research Network · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The predictive value of traditional cardiovascular risk estimators is limited, and young and elderly populations are particularly underrepresented. We aimed to investigate the urine metabolome and its association with cardiovascular risk to identify novel markers that might complement current estimators based on age. Urine samples were collected from 234 subjects categorized into three age-grouped cohorts: 30-50 years (cohort I, young), 50-70 years (cohort II, middle-aged), and > 70 years (cohort III, elderly). Each cohort was further classified into three groups: (a) control, (b) individuals with cardiovascular risk factors, and (c) those who had a previous cardiovascular event. Novel urinary metabolites linked to cardiovascular risk were identified by nuclear magnetic resonance in cohort I and then evaluated by target mass spectrometry quantification in all cohorts. A previously identified metabolic fingerprint associated with atherosclerosis was also analyzed and its potential risk estimation investigated in the three aged cohorts. Three different metabolic signatures were identified according to age: 2-hydroxybutyrate, gamma-aminobutyric acid, hypoxanthine, guanidoacetate, oxaloacetate, and serine in young adults; citrate, cyclohexanol, glutamine, lysine, pantothenate, pipecolate, threonine, and tyramine shared by middle-aged and elderly adults; and trimethylamine N-oxide and glucuronate associated with cardiovascular risk in all three cohorts. The urinary metabolome contains a metabolic signature of cardiovascular risk that differs across age groups. These signatures might serve to complement existing algorithms and improve the accuracy of cardiovascular risk prediction for personalized prevention. KEY MESSAGES: • Cardiovascular risk in the young and elderly is underestimated. • The urinary metabolome reflects cardiovascular risk across all age groups. • Six metabolites constitute a metabolic signature of cardiovascular risk in young adults. • Middle-aged and elderly adults share a cardiovascular risk metabolic signature. • TMAO and glucuronate levels reflect cardiovascular risk across all age groups.

Indexed as

MetabolomeMetabolomicsAdultAgedAged, 80 and overAge FactorsBiomarkersCardiovascular DiseasesCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansMaleMass SpectrometryMiddle AgedNuclear Magnetic Resonance, BiomolecularBiomarkersBiomarkersCardiovascular riskEarly preventionElderlyLifetime riskMetabolomics

Identifiers

PMID32914213
PMCPMC7591416
OpenAlexW3084589637

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.