Literature DB >> 26607700

A genetic marker of hyperuricemia predicts cardiovascular events in a meta-analysis of three cohort studies in high risk patients.

A Testa1, S Prudente2, D Leonardis1, B Spoto1, M C Sanguedolce1, R M Parlongo1, G Tripepi1, S Rizza3, F Mallamaci1, M Federici3, V Trischitta4, C Zoccali5.   

Abstract

INTRODUCTION: The strongest genetic marker of uric acid levels, the rs734553 SNP in the GLUT9 urate transporter gene, predicts progression to kidney failure in CKD patients and associates with systolic BP and carotid intima media thickness in family-based studies.
METHODS: Since genes are transmitted randomly (Mendelian randomization) we used this gene polymorphism as an unconfounded research instrument to further explore the link between uric acid and cardiovascular disease (cardiovascular death, and non-fatal myocardial infarction and stroke) in a meta-analysis of three cohort studies formed by high risk patients (MAURO: 755 CKD patients; GHS: 353 type 2 diabetics and coronary artery disease and the TVAS: 119 patients with myocardial infarction).
RESULTS: In separate analyses of the three cohorts, the incidence rate of CV events was higher in patients with the rs734553 risk (T) allele (TT/GT) than in those without (GG patients) and the HR in TT/GT patients in the three cohorts (range 1.72-2.14) coherently signaled an excessive cardiovascular risk with no heterogeneity (I2 = 0.01). The meta-analytical estimate (total number of patients, n = 1227; total CV events, n = 222) of the HR for the combined end-point in TT/GT patients was twice higher (pooled HR: 2.04, 95% CI: 1.11-3.75, P = 0.02) than in GG homozygotes.
CONCLUSIONS: The T allele of the rs734553 polymorphism in the GLUT9 gene predicts a doubling in the risk for incident cardiovascular events in patients at high cardiovascular risk. Findings in this study are compatible with the hypothesis of a causal role of hyperuricemia in cardiovascular disease in high risk conditions.
Copyright © 2015 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiovascular risk; Epidemiology; Polymorphism; Uric acid

Mesh:

Substances:

Year:  2015        PMID: 26607700     DOI: 10.1016/j.numecd.2015.08.004

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


  6 in total

1.  Circulating leptin is associated with serum uric acid level and its tubular reabsorption in a sample of adult middle-aged men.

Authors:  L D'Elia; A Giaquinto; F P Cappuccio; R Iacone; O Russo; P Strazzullo; F Galletti
Journal:  J Endocrinol Invest       Date:  2019-11-05       Impact factor: 4.256

2.  Associations of Triglyceride-Glucose Index and Its Derivatives with Hyperuricemia Risk: A Cohort Study in Chinese General Population.

Authors:  Qing Gu; Xue Hu; Jian Meng; Jun Ge; Sui Jun Wang; Xing Zhen Liu
Journal:  Int J Endocrinol       Date:  2020-09-17       Impact factor: 3.257

Review 3.  Impact of Statin Therapy on Plasma Uric Acid Concentrations: A Systematic Review and Meta-Analysis.

Authors:  Giuseppe Derosa; Pamela Maffioli; Željko Reiner; Luis E Simental-Mendía; Amirhossein Sahebkar
Journal:  Drugs       Date:  2016-06       Impact factor: 9.546

4.  Weak Association Between Genetic Markers of Hyperuricemia and Cardiorenal Outcomes: Insights From the STANISLAS Study Cohort With a 20-Year Follow-Up.

Authors:  Mehmet Kanbay; Constance Xhaard; Edith Le Floch; Claire Dandine-Roulland; Nicolas Girerd; João Pedro Ferreira; Jean-Marc Boivin; Sandra Wagner; Delphine Bacq-Daian; Jean-François Deleuze; Faiez Zannad; Patrick Rossignol
Journal:  J Am Heart Assoc       Date:  2022-04-26       Impact factor: 6.106

5.  Uric acid lowering improves insulin sensitivity and lowers blood pressure: a meta-analysis of randomized parallel-controlled clinical trials.

Authors:  Qunchuan Zong; Guanyi Ma; Tao Wang
Journal:  Afr Health Sci       Date:  2021-03       Impact factor: 0.927

6.  Genome-wide association analysis identifies multiple loci associated with kidney disease-related traits in Korean populations.

Authors:  Jeonghwan Lee; Young Lee; Boram Park; Sungho Won; Jin Suk Han; Nam Ju Heo
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.