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

Author:

Rubín‐García María1ORCID,Vitelli‐Storelli Facundo1ORCID,Álvarez‐Álvarez Laura1ORCID,Martínez‐González Miguel Ángel234ORCID,Salas‐Salvadó Jordi3567ORCID,Corella Dolores38ORCID,Hernáez Álvaro3910,Martínez J. Alfredo31112,Alonso‐Gómez Ángel M.313ORCID,Wärnberg Julia31415,Vioque Jesús1617,Romaguera Dora318,López‐Miranda José319,Estruch Ramon32021ORCID,Tinahones Francisco J.31522,Serra‐Majem Luís I.323,Cano‐Ibañez Naomi24,Tur Josep A.31825,Marcos‐Delgado Alba1ORCID,Tresserra‐Rimbau Anna326,Pintó Xavier327ORCID,Delgado‐Rodríguez Miguel1128,Matía‐Martín Pilar29,Vidal Josep3031,Vázquez Clotilde332,Daimiel Lidia33ORCID,Ros Emili334ORCID,Vázquez‐Ruiz Zenaida23ORCID,Babio Nancy3567,Barragán Rocío38,Castañer‐Niño Olga12ORCID,Razquin Cristina23,Tojal‐Sierra Lucas313,Gómez‐Gracia Enrique1535,González‐Palacios Sandra1617,Morey Marga318,García‐Rios Antonio319,Castro‐Barquero Sara32021ORCID,Bernal‐López María Rosa31536ORCID,Santos‐Lozano José Manuel323ORCID,Ruiz‐Canela Miguel23ORCID,Castro‐Salomó Antoni67,Pascual‐Castelló Eva Cristina8,Moldon Verónica12,Bullón‐Vela Vanessa2ORCID,Sorto‐Sanchez Carolina313ORCID,Cenoz‐Osinaga Juan Carlos2,Gutiérrez Liliana67ORCID,Mengual Maira12ORCID,Lamuela‐Raventós Rosa María327,Martín‐Sánchez Vicente116ORCID,

Affiliation:

1. Group of Investigation in Interactions Gene‐Environment and Health (GIIGAS) Institute of Biomedicine (IBIOMED), University of León Spain

2. Department of Preventive Medicine and Public Health Navarra Institute for Health Research (IdiSNA), University of Navarra Pamplona Spain

3. Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain

4. Department of Nutrition Harvard T.H. Chan School of Public Health Boston MA

5. Departament de Bioquímica i Biotecnologia Universitat Rovira i Virgili, Unitat de Nutrició Humana Reus Spain

6. University Hospital of Sant Joan de Reus, Servei de Medicina Interna, Unitat de Nutrició Reus Spain

7. Institut d’Investigació Sanitària Pere Virgili (IISPV) Reus Spain

8. Department of Preventive Medicine University of Valencia Spain

9. Cardiovascular Risk and Nutrition Research Group Institut Hospital del Mar d’Investigacions Mèdiques (IMIM) Barcelona Spain

10. Centre for Fertility and Health Norwegian Institute of Public Health Oslo Norway

11. Department of Nutrition, Food Sciences, and Physiology University of Navarra Pamplona Spain

12. Precision Nutrition Programme IMDEA Food, CEI UAM+CSIC Madrid Spain

13. Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU Vitoria‐Gasteiz Spain

14. Department of Nursing, School of Health Sciences University of Malaga Spain

15. Instituto de Investigación Biomédica de Málaga‐IBIMA Málaga Spain

16. CIBER de Epidemiología y Salud Pública (CIBERESP) Instituto de Salud Carlos III Madrid Spain

17. Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez (ISABIAL‐UMH) Alicante Spain

18. Health Research Institute of the Balearic Islands (IdISBa) Palma de Mallorca Spain

19. Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC) Reina Sofia University Hospital, University of Cordoba Spain

20. Department of Medicine, Faculty of Medicine and Life Sciences University of Barcelona Spain

21. Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS) Barcelona Spain

22. Department of Endocrinology Virgen de la Victoria Hospital Málaga Spain

23. Research Institute of Biomedical and Health Sciences (IUIBS) University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service Las Palmas de Gran Canaria Spain

24. Instituto de Investigación Biosanitaria ibs.GRANADA Complejo Hospitales Universitarios de Granada/Department of Preventive Medicine and Public Health, University of Granada Spain

25. Research Group on Community Nutrition & Oxidative Stress University of Balearic Islands Palma de Mallorca Spain

26. Department of Nutrition, Food Science, and Gastronomy XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona Spain

27. Lipids and Vascular Risk Unit, Internal Medicine Hospital Universitario de Bellvitge, Hospitalet de Llobregat Barcelona Spain

28. Division of Preventive Medicine, Faculty of Medicine University of Jaén Spain

29. Department of Endocrinology and Nutrition Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC) Madrid Spain

30. CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM) Instituto de Salud Carlos III (ISCIII) Madrid Spain

31. Department of Endocrinology Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona Barcelona Spain

32. Department of Endocrinology and Nutrition Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma Madrid Spain

33. Nutritional Control of the Epigenome Group, Precision Nutrition, and Obesity Program, IMDEA Food CEI UAM+CSIC Madrid Spain

34. Lipid Clinic, Department of Endocrinology and Nutrition Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic Barcelona Spain

35. Department of Preventive Medicine and Public Health, School of Medicine University of Málaga Spain

36. Department of Internal Medicine Regional University Hospital of Málaga Spain

Abstract

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3