Evidence map›Paper›PMID 40133027›Full record

ArticleThe journal of nutrition, health & aging2025

Microbiota-derived resveratrol metabolites: New biomarkers of red wine consumption are inversely associated with inflammation in a longitudinal study of a Mediterranean population.

Francesc M Campins-Machado, Rosa Casas, Rosa M Lamuela-Raventós, Polina Galkina, Miguel Ángel Martínez-González, Montserrat Fitó, Emilio Ros, Ramon Estruch, Inés Domínguez-López, Maria Pérez

Abstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. [Innovative Practices of Precision Nutrition in Obesity Intervention: From Theory to Application].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  4. Article
  5. Review
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

10 authors.

Francesc M Campins-MachadoPolyphenol Research Group, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Facultat de Farmacia i Ciències de l'Alimentació, Universitat de Barcelona (UB), Av. de Joan XXIII 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, 08921, Spain.
Rosa CasasInstitut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, 08921, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain.
Rosa M Lamuela-RaventósPolyphenol Research Group, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Facultat de Farmacia i Ciències de l'Alimentació, Universitat de Barcelona (UB), Av. de Joan XXIII 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, 08921, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Polina GalkinaPolyphenol Research Group, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Facultat de Farmacia i Ciències de l'Alimentació, Universitat de Barcelona (UB), Av. de Joan XXIII 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, 08921, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Miguel Ángel Martínez-GonzálezCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008 Pamplona, Spain.
Montserrat FitóCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas (IMIM), 08007 Barcelona, Spain.
Emilio RosCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; IDIBAPS, Hospital Clínic, 08036 Barcelona, Spain.
Ramon EstruchInstitut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, 08921, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain.
Inés Domínguez-LópezPolyphenol Research Group, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Facultat de Farmacia i Ciències de l'Alimentació, Universitat de Barcelona (UB), Av. de Joan XXIII 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, 08921, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain. Electronic address: idominguez@ub.edu.
Maria PérezPolyphenol Research Group, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Facultat de Farmacia i Ciències de l'Alimentació, Universitat de Barcelona (UB), Av. de Joan XXIII 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, 08921, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain. Electronic address: mariaperez@ub.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the association between urinary microbiota-derived resveratrol metabolites, which may serve as specific biomarkers of red wine consumption, and plasma circulating proinflammatory markers. DESIGN, SETTINGS, AND

participantsOne-year longitudinal study included 179 participants at high cardiovascular risk (mean age 69 years, 49% women) enrolled in the PREDIMED trial. MEASUREMENTS: Plasma inflammatory biomarkers and urinary microbiota-derived resveratrol metabolites were analyzed using xMAP technology and high-performance liquid chromatography coupled to mass spectrometry, respectively. Receiver operating characteristic (ROC) analyses were performed to evaluate the reliability of urine resveratrol metabolites as biomarkers of red wine consumption, as reported in the food frequency questionnaires (FFQs) of the participants. The relationship between baseline values and 1-year changes in urinary microbiota-derived resveratrol metabolites and plasma levels of circulating inflammatory molecules were assessed.

resultsROC curves confirmed that urinary dihydroresveratrol glucuronide (DHRg) [AUC = 0.835] and sulfate (DHRs) [AUC = 0.803] metabolites are reliable and specific biomarkers of red wine consumption. Baseline urinary concentrations of DHRs were negatively associated with plasma levels of soluble vascular cell adhesion molecule-1 (sVCAM-1) (-0.40 ng/mL per 1-SD increase, p = 0.012). After one year of follow-up, changes in urinary concentrations of DHRg also showed a negative association with plasma circulating sVCAM-1 levels (-0.39 ng/mL per 1-SD increase, p-value = 0.028). No significant associations were detected at baseline and after one year of follow-up when FFQ information of red wine consumption was used to perform the regression analysis with circulating inflammatory molecules.

conclusionsLight to moderate red wine consumption (10 to 20 grams of alcohol per day), which can be monitored by microbiota-derived resveratrol metabolites excreted in urine, is associated with lower plasma concentrations of sVCAM-1, an inflammatory biomarker related to atherosclerosis. Biomarkers of consumption offer advantages compared to FFQ data, since they provide objective and more accurate information about nutrient intake and metabolism. Without specific biomarkers of red wine consumption, no significant associations would have been found in the present study.

Indexed as

InflammationMicrobiotaStilbenesWineAgedBiomarkersCardiovascular DiseasesFemaleHumansLongitudinal StudiesMaleMiddle AgedResveratrolROC CurveVascular Cell Adhesion Molecule-1BiomarkersResveratrolStilbenesVascular Cell Adhesion Molecule-1AntiagingAnti-inflammatoryBioactivesBiomarkerDihydroresveratrolHealthHealthy diet

Identifiers

PMID40133027
PMCPMC12172965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.