Metabolic syndrome, alcohol consumption and genetic factors are associated with serum uric acid concentration
Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
24827988
PubMed Central
PMC4020828
DOI
10.1371/journal.pone.0097646
PII: PONE-D-14-05691
Knihovny.cz E-zdroje
- MeSH
- ABC transportér z rodiny G, člen 2 MeSH
- ABC transportéry krev genetika MeSH
- dospělí MeSH
- exprese genu MeSH
- jednonukleotidový polymorfismus * MeSH
- kohortové studie MeSH
- kyselina močová krev MeSH
- lidé středního věku MeSH
- lidé MeSH
- metabolický syndrom krev genetika patologie MeSH
- methylentetrahydrofolátreduktasa (NADPH2) krev genetika MeSH
- mladiství MeSH
- modely genetické MeSH
- nádorové proteiny krev genetika MeSH
- pití alkoholu krev genetika patologie MeSH
- proteiny usnadňující transport glukosy krev genetika MeSH
- regresní analýza MeSH
- senioři MeSH
- sexuální faktory MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- ABC transportér z rodiny G, člen 2 MeSH
- ABC transportéry MeSH
- ABCG2 protein, human MeSH Prohlížeč
- kyselina močová MeSH
- methylentetrahydrofolátreduktasa (NADPH2) MeSH
- MTHFR protein, human MeSH Prohlížeč
- nádorové proteiny MeSH
- proteiny usnadňující transport glukosy MeSH
- SLC2A9 protein, human MeSH Prohlížeč
OBJECTIVE: Uric acid is the end product of purine metabolism in humans, and increased serum uric acid concentrations lead to gout. The objective of the current study was to identify factors that are independently associated with serum uric acid concentrations in a cohort of Czech control individuals. METHODS: The cohort consisted of 589 healthy subjects aged 18-65 years. We studied the associations between the serum uric acid concentration and the following: (i) demographic, anthropometric and other variables previously reported to be associated with serum uric acid concentrations; (ii) the presence of metabolic syndrome and the levels of metabolic syndrome components; and (iii) selected genetic variants of the MTHFR (c.665C>T, c.1286A>C), SLC2A9 (c.844G>A, c.881G>A) and ABCG2 genes (c.421C>A). A backward model selection procedure was used to build two multiple linear regression models; in the second model, the number of metabolic syndrome criteria that were met replaced the metabolic syndrome-related variables. RESULTS: The models had coefficients of determination of 0.59 and 0.53. The serum uric acid concentration strongly correlated with conventional determinants including male sex, and with metabolic syndrome-related variables. In the simplified second model, the serum uric acid concentration positively correlated with the number of metabolic syndrome criteria that were met, and this model retained the explanatory power of the first model. Moderate wine drinking did not increase serum uric acid concentrations, and the urate transporter ABCG2, unlike MTHFR, was a genetic determinant of serum uric acid concentrations. CONCLUSION: Metabolic syndrome, moderate wine drinking and the c.421C>A variant in the ABCG gene are independently associated with the serum uric acid concentration. Our model indicates that uric acid should be clinically monitored in persons with metabolic syndrome.
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