Cargando…

Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts

OBJECTIVE: To systematically test dietary components for association with serum urate levels and to evaluate the relative contributions of estimates of diet pattern and inherited genetic variants to population variance in serum urate levels. DESIGN: Meta-analysis of cross sectional data from the Uni...

Descripción completa

Detalles Bibliográficos
Autores principales: Major, Tanya J, Topless, Ruth K, Dalbeth, Nicola, Merriman, Tony R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174725/
https://www.ncbi.nlm.nih.gov/pubmed/30305269
http://dx.doi.org/10.1136/bmj.k3951
_version_ 1783361328288628736
author Major, Tanya J
Topless, Ruth K
Dalbeth, Nicola
Merriman, Tony R
author_facet Major, Tanya J
Topless, Ruth K
Dalbeth, Nicola
Merriman, Tony R
author_sort Major, Tanya J
collection PubMed
description OBJECTIVE: To systematically test dietary components for association with serum urate levels and to evaluate the relative contributions of estimates of diet pattern and inherited genetic variants to population variance in serum urate levels. DESIGN: Meta-analysis of cross sectional data from the United States. DATA SOURCES: Five cohort studies. REVIEW METHODS: 16 760 individuals of European ancestry (8414 men and 8346 women) from the US were included in analyses. Eligible individuals were aged over 18, without kidney disease or gout, and not taking urate lowering or diuretic drugs. All participants had serum urate measurements, dietary survey data, information on potential confounders (sex, age, body mass index, average daily calorie intake, years of education, exercise levels, smoking status, and menopausal status), and genome wide genotypes. The main outcome measures were average serum urate levels and variance in serum urate levels. β values (95% confidence intervals) and Bonferroni corrected P values from multivariable linear regression analyses, along with regression partial R(2) values, were used to quantitate associations. RESULTS: Seven foods were associated with raised serum urate levels (beer, liquor, wine, potato, poultry, soft drinks, and meat (beef, pork, or lamb)) and eight foods were associated with reduced serum urate levels (eggs, peanuts, cold cereal, skim milk, cheese, brown bread, margarine, and non-citrus fruits) in the male, female, or full cohorts. Three diet scores, constructed on the basis of healthy diet guidelines, were inversely associated with serum urate levels and a fourth, data driven diet pattern positively associated with raised serum urate levels, but each explained ≤0.3% of variance in serum urate. In comparison, 23.9% of variance in serum urate levels was explained by common, genome wide single nucleotide variation. CONCLUSION: In contrast with genetic contributions, diet explains very little variation in serum urate levels in the general population.
format Online
Article
Text
id pubmed-6174725
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BMJ Publishing Group Ltd.
record_format MEDLINE/PubMed
spelling pubmed-61747252018-10-10 Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts Major, Tanya J Topless, Ruth K Dalbeth, Nicola Merriman, Tony R BMJ Research OBJECTIVE: To systematically test dietary components for association with serum urate levels and to evaluate the relative contributions of estimates of diet pattern and inherited genetic variants to population variance in serum urate levels. DESIGN: Meta-analysis of cross sectional data from the United States. DATA SOURCES: Five cohort studies. REVIEW METHODS: 16 760 individuals of European ancestry (8414 men and 8346 women) from the US were included in analyses. Eligible individuals were aged over 18, without kidney disease or gout, and not taking urate lowering or diuretic drugs. All participants had serum urate measurements, dietary survey data, information on potential confounders (sex, age, body mass index, average daily calorie intake, years of education, exercise levels, smoking status, and menopausal status), and genome wide genotypes. The main outcome measures were average serum urate levels and variance in serum urate levels. β values (95% confidence intervals) and Bonferroni corrected P values from multivariable linear regression analyses, along with regression partial R(2) values, were used to quantitate associations. RESULTS: Seven foods were associated with raised serum urate levels (beer, liquor, wine, potato, poultry, soft drinks, and meat (beef, pork, or lamb)) and eight foods were associated with reduced serum urate levels (eggs, peanuts, cold cereal, skim milk, cheese, brown bread, margarine, and non-citrus fruits) in the male, female, or full cohorts. Three diet scores, constructed on the basis of healthy diet guidelines, were inversely associated with serum urate levels and a fourth, data driven diet pattern positively associated with raised serum urate levels, but each explained ≤0.3% of variance in serum urate. In comparison, 23.9% of variance in serum urate levels was explained by common, genome wide single nucleotide variation. CONCLUSION: In contrast with genetic contributions, diet explains very little variation in serum urate levels in the general population. BMJ Publishing Group Ltd. 2018-10-10 /pmc/articles/PMC6174725/ /pubmed/30305269 http://dx.doi.org/10.1136/bmj.k3951 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research
Major, Tanya J
Topless, Ruth K
Dalbeth, Nicola
Merriman, Tony R
Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts
title Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts
title_full Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts
title_fullStr Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts
title_full_unstemmed Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts
title_short Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts
title_sort evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174725/
https://www.ncbi.nlm.nih.gov/pubmed/30305269
http://dx.doi.org/10.1136/bmj.k3951
work_keys_str_mv AT majortanyaj evaluationofthedietwidecontributiontoserumuratelevelsmetaanalysisofpopulationbasedcohorts
AT toplessruthk evaluationofthedietwidecontributiontoserumuratelevelsmetaanalysisofpopulationbasedcohorts
AT dalbethnicola evaluationofthedietwidecontributiontoserumuratelevelsmetaanalysisofpopulationbasedcohorts
AT merrimantonyr evaluationofthedietwidecontributiontoserumuratelevelsmetaanalysisofpopulationbasedcohorts