Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular risk
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 hyperurice...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/55619 |
| Acceso en línea: | http://hdl.handle.net/10230/55619 http://dx.doi.org/10.1161/JAHA.122.026053 |
| Access Level: | acceso abierto |
| Palabra clave: | Hyperuricemia Polyphenols Uric acid |
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Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular risk |
| title |
Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular risk |
| spellingShingle |
Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular risk Rubín-García, María Hyperuricemia Polyphenols Uric acid |
| title_short |
Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular risk |
| title_full |
Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular risk |
| title_fullStr |
Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular risk |
| title_full_unstemmed |
Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular risk |
| title_sort |
Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular risk |
| dc.creator.none.fl_str_mv |
Rubín-García, María Hernáez, Álvaro PREDIMED‐Plus Trial Investigators |
| author |
Rubín-García, María |
| author_facet |
Rubín-García, María Hernáez, Álvaro PREDIMED‐Plus Trial Investigators |
| author_role |
author |
| author2 |
Hernáez, Álvaro PREDIMED‐Plus Trial Investigators |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Hyperuricemia Polyphenols Uric acid |
| topic |
Hyperuricemia Polyphenols Uric acid |
| description |
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. |
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2022 |
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2022 2023 2023 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10230/55619 http://dx.doi.org/10.1161/JAHA.122.026053 |
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http://hdl.handle.net/10230/55619 http://dx.doi.org/10.1161/JAHA.122.026053 |
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Inglés |
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Inglés |
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J Am Heart Assoc. 2022 Oct 18;11(20):e026053 info:eu-repo/grantAgreement/EC/FP7/340918 info:eu-repo/grantAgreement/ES/1PE/AGL2016–75329‐R |
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http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc/4.0/ |
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openAccess |
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application/pdf application/pdf |
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American Hearth Association |
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American Hearth Association |
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reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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1869404093222486016 |
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Association among polyphenol intake, uric acid, and hyperuricemia: A cross-sectional analysis in a population at high cardiovascular riskRubín-García, MaríaHernáez, ÁlvaroPREDIMED‐Plus Trial InvestigatorsHyperuricemiaPolyphenolsUric acidBackground 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.The PREDIMED‐Plus trial was supported by the European Research Council (Advanced Research Grant 2013–2018, 340918) to Dr Martínez‐González, and the official funding agency for biomedical research of the Spanish government, Instituto de Salud Carlos III, through the Fondo de Investigación para la Salud, which is cofunded by the European Regional Development Fund (5 coordinated Fondo de Investigación para la Salud projects led by Dr. Salas‐Salvadó and Dr Vidal, including the following projects: 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, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/ 01873, PI16/01094, 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, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, and PI19/01332), the Especial Action Project titled Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED‐Plus grant to Dr Salas‐Salvadó, the Recercaixa grant to Dr Salas‐Salvadó (2013ACUP00194), a CICYT (Consejo Interinstitucional de Ciencia y Tecnología) grant (AGL2016–75329‐R), a grant from the Generalitat Valenciana (APOSTD/2019/136 to R.B.) and Generalitat de Catalunya (SGR‐2019 to R.E.), grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013, PS0358/2016, and PI0137/2018), grants from the Generalitat Valenciana (PROMETEO/2017/017), a SEMERGEN (Sociedad Española de Médicos de Atención Primaria) grant, EU‐COST (European Cooperation in Science and Technology) Action CA16112, a grant of support to research groups number 35/2011 from the Balearic Islands Government, grants from IDISBA (Instituto de Investigación Sanitaria Islas Baleares), funds from the European Regional Development Fund (CIBEROBN CB06/03 and CB12/03) and from the European Commission (EAT2BENI‐CE_H2020_SFS2016), and the Spanish Ministry of Science, Innovation and Universities for the Formación de Profesorado Universitario (FPU17/06488 and FPU17/00785) contract. The funding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of the data; in the writing of the article, or in the decision to publish the results.American Hearth Association202320232022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/55619http://dx.doi.org/10.1161/JAHA.122.026053reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésJ Am Heart Assoc. 2022 Oct 18;11(20):e026053info:eu-repo/grantAgreement/EC/FP7/340918info:eu-repo/grantAgreement/ES/1PE/AGL2016–75329‐R© 2022 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.http://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/556192026-05-29T05:05:01Z |
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15,812429 |