Evidence map›Paper›PMID 34445043›Full record

ArticleNutrients2021

Urinary Tartaric Acid, a Biomarker of Wine Intake, Correlates with Lower Total and LDL Cholesterol.

Inés Domínguez-López, Isabella Parilli-Moser, Camila Arancibia-Riveros, Anna Tresserra-Rimbau, Miguel Angel Martínez-González, Carolina Ortega-Azorín, Jordi Salas-Salvadó, Olga Castañer, José Lapetra, Fernando Arós and 7 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Recent advances in precision nutrition and cardiometabolic diseases.Revista espanola de cardiologia (English ed.) · 2025
    Review
  4. Article
  5. Article
  6. Exploring Human Metabolome after Wine Intake-A Review.Molecules (Basel, Switzerland) · 2023
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
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

17 authors at 5 institutions in 2 countries.

Inés Domínguez-LópezDepartment of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, 08028 Barcelona, Spain.
Isabella Parilli-MoserDepartment of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, 08028 Barcelona, Spain.ORCID 0000-0003-2261-4460
Camila Arancibia-RiverosDepartment of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, 08028 Barcelona, Spain.
Anna Tresserra-RimbauDepartment of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-7022-9041
Miguel Angel Martínez-GonzálezCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0002-3917-9808
Carolina Ortega-AzorínCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Jordi Salas-SalvadóCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0003-2700-7459
Olga CastañerCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0003-3169-997X
José LapetraCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0002-3873-5737
Fernando ArósCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Miquel FiolCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0002-5370-1391
Lluis Serra-MajemCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0002-9658-9061
Xavier PintóCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0002-2216-2444
Enrique Gómez-GraciaCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Emilio RosCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0002-2573-1294
Rosa M Lamuela-RaventósDepartment of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-1287-4560
Ramon EstruchCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0003-1260-4445
Instituto de Salud Carlos III · ESHarvard University · USUniversidad de Las Palmas de Gran Canaria · ESUniversitat de Barcelona · ESUniversitat de València · ES

Funding

Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y NutriciónCentro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición AGL2016- 75329-RGeneralitat de Catalunya 2017SGR 196Instituto de Salud Carlos IIIInterprofesional del vino PID2020-114022RB-I00
6 · The paper itself

Abstract

Postmenopausal women are at higher risk of developing cardiovascular diseases due to changes in lipid profile and body fat, among others. The aim of this study was to evaluate the association of urinary tartaric acid, a biomarker of wine consumption, with anthropometric (weight, waist circumference, body mass index (BMI), and waist-to-height ratio), blood pressure, and biochemical variables (blood glucose and lipid profile) that may be affected during the menopausal transition. This sub-study of the PREDIMED (Prevención con Dieta Mediterránea) trial included a sample of 230 women aged 60-80 years with high cardiovascular risk at baseline. Urine samples were diluted and filtered, and tartaric acid was analyzed by liquid chromatography coupled to electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS). Correlations between tartaric acid and the study variables were adjusted for age, education level, smoking status, physical activity, BMI, cholesterol-lowering, antihypertensive, and insulin treatment, total energy intake, and consumption of fruits, vegetables, and raisins. A strong association was observed between wine consumption and urinary tartaric acid (0.01 μg/mg (95% confidence interval (CI): 0.01, 0.01),

Indexed as

WineAgedAged, 80 and overAlcohol DrinkingAnthropometryBiomarkersCardiovascular DiseasesCholesterolCholesterol, LDLCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansMiddle AgedRandomized Controlled Trials as TopicTartratesBiomarkersCholesterolCholesterol, LDLtartaric acidTartratesbiomarkersbody fatcardiovascular risklipid profileMediterranean dietmenopausepolyphenolsPREDIMEDtartaric acid

Identifiers

PMID34445043
PMCPMC8399930
OpenAlexW3195933584

What OpenQuestion holds

Textmetadata
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.