Association Among Polyphenol Intake, Uric Acid, and Hyperuricemia: A Cross-Sectional Analysis in a Population at High Cardiovascular Risk

Autor: Rubín-García, María, Vitelli-Storelli, Facundo, Álvarez-Álvarez, Laura, Martínez-González, Miguel Ángel, Salas-Salvadó, Jordi, Corella, Dolores, Hernáez, Álvaro, Martínez, J Alfredo, Alonso-Gómez, Ángel M, Wärnberg, Julia, Vioque, Jesús, Romaguera, Dora, López-Miranda, José, Estruch, Ramon, Tinahones, Francisco J, Serra-Majem, Luís I, Cano-Ibañez, Naomi, Tur, Josep A, Marcos-Delgado, Alba, Tresserra-Rimbau, Anna, Pintó, Xavier, Delgado-Rodríguez, Miguel, Matía-Martín, Pilar, Vidal, Josep, Vázquez, Clotilde, Daimiel, Lidia, Ros, Emili, Vázquez-Ruiz, Zenaida, Babio, Nancy, Barragán, Rocío, Castañer-Niño, Olga, Razquin, Cristina, Tojal-Sierra, Lucas, Gómez-Gracia, Enrique, González-Palacios, Sandra, Morey, Marga, García-Rios, Antonio, Castro-Barquero, Sara, Bernal-López, María Rosa, Santos-Lozano, José Manuel, Ruiz-Canela, Miguel, Castro-Salomó, Antoni, Pascual-Castelló, Eva Cristina, Moldon, Verónica, Bullón-Vela, Vanessa, Sorto-Sanchez, Carolina, Cenoz-Osinaga, Juan Carlos, Gutiérrez, Liliana, Mengual, Maira, Lamuela-Raventós, Rosa María, Martín-Sánchez, Vicente, PREDIMED‐Plus Trial Investigators
Přispěvatelé: European Commission
Rok vydání: 2022
Předmět:
Zdroj: JOURNAL OF THE AMERICAN HEART ASSOCIATION
r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante
instname
Journal of the American Heart Association (JAHA)
ISSN: 2047-9980
2013-2018
DOI: 10.1161/jaha.122.026053
Popis: BACKGROUND: Dietary polyphenol intake has been associated with a decreased risk of hyperuricemia, but most of this knowledge comes from preclinical studies. The aim of the present study was to assess the association of the intake of different classes of polyphenols with serum uric acid and hyperuricemia. METHODS AND RESULTS: This cross-sectional analysis involved baseline data of 6332 participants. Food polyphenol content was estimated by a validated semiquantitative food frequency questionnaire and from the Phenol-Explorer database. Multivariable-adjusted linear regression models with serum uric acid (milligrams per deciliter) as the outcome and polyphenol intake (quintiles) as the main independent variable were fitted. Cox regression models with constant follow-up time (t=1) were performed to estimate the prevalence ratios (PRs) of hyperuricemia (≥7 mg/dL in men and ≥6 mg/dL in women). An inverse association between the intake of the phenolic acid class (β coefficient, −0.17 mg/dL for quintile 5 versus quintile 1 [95% CI, −0.27 to −0.06]) and hydroxycinnamic acids (β coefficient, −0.19 [95% CI, −0.3 to −0.09]), alkylmethoxyphenols (β coefficient, −0.2 [95% CI, −0.31 to −0.1]), and methoxyphenols (β coefficient, −0.24 [95% CI, −0.34 to −0.13]) subclasses with serum uric acid levels and hyperuricemia (PR, 0.82 [95% CI, 0.71–0.95]; PR, 0.82 [95% CI, 0.71–0.95]; PR, 0.80 [95% CI, 0.70–0.92]; and PR, 0.79 [95% CI, 0.69–0.91]; respectively) was found. The intake of hydroxybenzoic acids was directly and significantly associated with mean serum uric acid levels (β coefficient, 0.14 for quintile 5 versus quintile 1 [95% CI, 0.02–0.26]) but not with hyperuricemia. CONCLUSIONS: In individuals with metabolic syndrome, a higher intake of some polyphenol subclasses (hydroxycinnamic acids, alkylmethoxyphenol, and methoxyphenol) was inversely associated with serum uric acid levels and hyperuricemia. Nevertheless, our findings warrant further research.
European Research Council (ERC) European Commission 2013-2018 340918
official funding agency for biomedical research of the Spanish government Instituto de Salud Carlos III
European Commission PI13/00673 PI13/00492 PI13/00272 PI13/01123 PI13/00462 PI13/00233 PI13/02184 PI13/00728 PI13/01090 PI13/01056 PI14/01722 PI14/00636 PI14/00618 PI14/00696 PI14/01206 PI14/01919
Especial Action Project
La Caixa Foundation 2013ACUP00194
Consejo Interinstitucional de Ciencia y Tecnologia (CICYT) AGL2016-75329-R
Center for Forestry Research & Experimentation (CIEF)
European Commission PROMETEO/2017/017
Generalitat de Catalunya SGR-2019
Junta de Andalucia PI0458/2013 PS0358/2016 PI0137/2018
SEMERGEN (Sociedad Espanola de Medicos de Atencion Primaria)
European Cooperation in Science and Technology (COST)
IDISBA (Instituto de Investigacion Sanitaria Islas Baleares)
European Commission CIBEROBN CB06/03 CB12/03
European Commission European Commission Joint Research Centre EAT2BENI-CE_H2020_SFS2016
Spanish Ministry of Science, Innovation and Universities for the Formacion de Profesorado Universitario FPU17/00785
Instituto de Salud Carlos III, through the Fondo de Investigacion para la Salud - European Regional Development Fund PI16/00501 PI16/00533 PI16/00381 PI16/00366 PI16/01522 PI16/01120 PI17/00764 PI17/01183 PI17/00855 PI17/01347 PI17/00525 PI17/01827 PI17/00532 PI17/00215 PI17/01441 PI17/00508 PI17/01732 PI17/00926 PI19/00957 PI16/00473
Instituto de Salud Carlos III European Commission PI14/00853 PI14/01374 PI14/00972 PI19/00386 PI19/00309 PI19/01032 PI19/00576 PI19/00017 PI19/01226 PI19/00781 PI19/01560 PI16/00662 PI16/01873 PI16/01094 PI19/01332 PI14/00728 PI14/01471
Databáze: OpenAIRE
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