Literature DB >> 29258006

Genetic variants in PPARGC1B and CNTN4 are associated with thromboxane A2 formation and with cardiovascular event free survival in the Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT).

Nina S McCarthy1, Ciara Vangjeli2, Praveen Surendran3, Achim Treumann4, Cathy Rooney2, Emily Ho2, Peter Sever5, Simon Thom5, Alun D Hughes5, Patricia B Munroe6, Philip Howard6, Toby Johnson7, Mark Caulfield6, Denis C Shields8, Eoin O'Brien8, Desmond J Fitzgerald8, Alice V Stanton2.   

Abstract

BACKGROUND AND AIMS: Elevated urinary 11-dehydro thromboxane B2 (TxB2), a measure of thromboxane A2 formation in vivo, predicts future atherothrombotic events. To further understand this relationship, the genetic determinants of 11-dehydro TxB2 and their associations with cardiovascular morbidity were investigated in this study.
METHODS: Genome-wide and targeted genetic association studies of urinary 11-dehydro TxB2 were conducted in 806 Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT) participants.
RESULTS: The strongest associations were in PPARGC1B (rs4235745, rs32582, rs10515638) and CNTN4 (rs10510230, rs4684343), these 5 single nucleotide polymorphisms (SNPs) were independently associated with 11-dehydro TxB2 formation. Haplotypes of 11-dehydro TxB2 increasing alleles for both PPARGC1B and CNTN4 were significantly associated with 11-dehydro TxB2, explaining 5.2% and 4.5% of the variation in the whole cohort, and 8.8% and 7.9% in participants not taking aspirin, respectively. In a second ASCOT population (n = 6199), addition of these 5 SNPs significantly improved the covariate-only Cox proportional hazards model for cardiovascular events (chisq = 14.7, p=0.01). Two of the risk alleles associated with increased urinary 11-dehydro TxB2 were individually associated with greater incidences of cardiovascular events - rs10515638 (HR = 1.31, p=0.01) and rs10510230 (HR = 1.25, p=0.007); effect sizes were larger in those not taking aspirin.
CONCLUSIONS: PPARGC1B and CNTN4 genotypes are associated with elevated thromboxane A2 formation and with an excess of cardiovascular events. Aspirin appears to blunt these associations. If specific protection of PPARGC1B and CNTN4 variant carriers by aspirin is confirmed by additional studies, PPARGC1B and CNTN4 genotyping could potentially assist in clinical decision making regarding the use of aspirin in primary prevention.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Genome wide association study; Thrombosis; Thromboxane

Mesh:

Substances:

Year:  2017        PMID: 29258006      PMCID: PMC5813793          DOI: 10.1016/j.atherosclerosis.2017.12.013

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  24 in total

1.  Putative association of peroxisome proliferator-activated receptor gamma co-activator 1beta (PPARGC1B) polymorphism with Type 2 diabetes mellitus.

Authors:  K S Park; H D Shin; B L Park; H S Cheong; Y M Cho; H K Lee; J-Y Lee; J-K Lee; H Tae Kim; C-S Park; B G Han; K Kimm; B Oh
Journal:  Diabet Med       Date:  2006-06       Impact factor: 4.359

Review 2.  PGC-1 coactivators in cardiac development and disease.

Authors:  Glenn C Rowe; Aihua Jiang; Zolt Arany
Journal:  Circ Res       Date:  2010-10-01       Impact factor: 17.367

3.  Fractional conversion of thromboxane B2 to urinary 11-dehydrothromboxane B2 in man.

Authors:  G Ciabattoni; F Pugliese; G Davi; A Pierucci; B M Simonetti; C Patrono
Journal:  Biochim Biophys Acta       Date:  1989-07-21

4.  Cloning and characterization of the human neural cell adhesion molecule, CNTN4 (alias BIG-2).

Authors:  L M Hansford; S A Smith; M Haber; M D Norris; B Cheung; G M Marshall
Journal:  Cytogenet Genome Res       Date:  2003       Impact factor: 1.636

5.  11-Dehydrothromboxane B2: a quantitative index of thromboxane A2 formation in the human circulation.

Authors:  F Catella; D Healy; J A Lawson; G A FitzGerald
Journal:  Proc Natl Acad Sci U S A       Date:  1986-08       Impact factor: 11.205

6.  Heritability of thromboxane A2 and prostaglandin E2 biosynthetic machinery in a Spanish population.

Authors:  Luis Vila; Angel Martinez-Perez; Mercedes Camacho; Alfonso Buil; Sonia Alcolea; Nuria Pujol-Moix; Marta Soler; Rosa Antón; Juan-Carlos Souto; Jordi Fontcuberta; José-Manuel Soria
Journal:  Arterioscler Thromb Vasc Biol       Date:  2009-10-22       Impact factor: 8.311

7.  Characterization of the human, mouse and rat PGC1 beta (peroxisome-proliferator-activated receptor-gamma co-activator 1 beta) gene in vitro and in vivo.

Authors:  Aline Meirhaeghe; Vivion Crowley; Carol Lenaghan; Christopher Lelliott; Kath Green; Abigail Stewart; Kevin Hart; Sven Schinner; Jaswinder K Sethi; Giles Yeo; Martin D Brand; Ron N Cortright; Stephen O'Rahilly; Carl Montague; Antonio J Vidal-Puig
Journal:  Biochem J       Date:  2003-07-01       Impact factor: 3.857

Review 8.  PPARγ signaling and metabolism: the good, the bad and the future.

Authors:  Maryam Ahmadian; Jae Myoung Suh; Nasun Hah; Christopher Liddle; Annette R Atkins; Michael Downes; Ronald M Evans
Journal:  Nat Med       Date:  2013-05-07       Impact factor: 53.440

9.  Aspirin in the primary and secondary prevention of vascular disease: collaborative meta-analysis of individual participant data from randomised trials.

Authors:  Colin Baigent; Lisa Blackwell; Rory Collins; Jonathan Emberson; Jon Godwin; Richard Peto; Julie Buring; Charles Hennekens; Patricia Kearney; Tom Meade; Carlo Patrono; Maria Carla Roncaglioni; Alberto Zanchetti
Journal:  Lancet       Date:  2009-05-30       Impact factor: 79.321

10.  Genome-wide association analysis confirms and extends the association of SLC2A9 with serum uric acid levels to Mexican Americans.

Authors:  Venkata Saroja Voruganti; Jack W Kent; Subrata Debnath; Shelley A Cole; Karin Haack; Harald H H Göring; Melanie A Carless; Joanne E Curran; Matthew P Johnson; Laura Almasy; Thomas D Dyer; Jean W Maccluer; Eric K Moses; Hanna E Abboud; Michael C Mahaney; John Blangero; Anthony G Comuzzie
Journal:  Front Genet       Date:  2013-12-16       Impact factor: 4.599

View more
  1 in total

1.  Integrated Analysis of Gene Expression and Methylation Data to Identify Potential Biomarkers Related to Atherosclerosis Onset.

Authors:  Xiaoming Li; Xiaoqian Dong; Weidong Lu; Ke Yang; Xiao Li
Journal:  Oxid Med Cell Longev       Date:  2022-07-22       Impact factor: 7.310

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.