Literature DB >> 33284871

Personalized warfarin treatment based on the PITX2 single nucleotide polymorphism rs6843082.

Tianhua Liu1, Hongman Huang1, Xinbing Liu1, Yuya Yang1, Xiang Mei1, Liuliu Feng1.   

Abstract

OBJECTIVE: To explore the effect of PITX2 gene rs6843082 single nucleotide polymorphism on the efficacy and adverse reactions of warfarin in patients with atrial fibrillation and hypertension, and to provide a theoretical basis for individualized warfarin treatment.
METHODS: Data on 97 patients with atrial fibrillation and hypertension treated in our hospital were collected from September, 2018 to December, 2019. PCR and SNP genotyping techniques were used to measure the genotype at the rs6843082 locus (pituitary homeobox 2, PITX2) using DNA from the peripheral blood cells of all patients. We compared the efficacy of warfarin and the incidence of adverse reactions in patients of different genotypes.
RESULTS: (1) Among 97 subjects, 58 cases (59.79%), 32 cases (32.99%) and 7 cases (7.22%) of PITX2 (rs6843082) genotypes GG, GA and AA were identified respectively. The G and A allele frequencies were 76.29% and 23.71%, respectively. (2) After all patients took warfarin to achieve the standard, the GA group and AA group's time to achieve the standard was significantly longer than that of the GG group (P<0.05). The difference was not statistically significant among groups (P>0.05). Compared with the GG group, the maintenance dose of the AA group was increased (P<0.05). (3) Compared with the GG and the GA group, the probability of bleeding events was higher in the AA group (P<0.05). (4) There was no difference in left ventricular end diastolic volume (LVEDV) and left ventricular end systolic volume (LVESV) group among GG, GA and AA groups (P>0.05). Compared with the GG group, left ventricular ejection fraction (LVEF) of the AA group was significantly reduced (P<0.05). (5) The mortality rates of the GG, GA, and AA groups were 15.51%, 12.50% and 22.57%, respectively, at the end of 120 d follow-up.
CONCLUSION: Our findings show that rs6843082 SNP leads to the warfarin dose response differences that were observed in patients with atrial fibrillation and hypertension. Genotyping patients for rs6843082 before initiating warfarin treatment may optimize the treatment response and reduce bleeding incidence. IJCEP
Copyright © 2020.

Entities:  

Keywords:  PITX2; single nucleotide polymorphism; warfarin

Year:  2020        PMID: 33284871      PMCID: PMC7716133     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN: 1936-2625


  20 in total

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Review 2.  2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society in Collaboration With the Society of Thoracic Surgeons.

Authors:  Craig T January; L Samuel Wann; Hugh Calkins; Lin Y Chen; Joaquin E Cigarroa; Joseph C Cleveland; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Karen L Furie; Paul A Heidenreich; Katherine T Murray; Julie B Shea; Cynthia M Tracy; Clyde W Yancy
Journal:  Circulation       Date:  2019-01-28       Impact factor: 29.690

Review 3.  Genotype influence in responses to therapy for atrial fibrillation.

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Journal:  Expert Rev Cardiovasc Ther       Date:  2016-07-15

Review 4.  [Optimalisation of treatment with vitamin K antagonists--the role of gene polymorphisms].

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Journal:  Kardiol Pol       Date:  2010       Impact factor: 3.108

5.  RAte Control Efficacy in permanent atrial fibrillation: a comparison between lenient versus strict rate control in patients with and without heart failure. Background, aims, and design of RACE II.

Authors:  Isabelle C Van Gelder; Dirk J Van Veldhuisen; Harry J G M Crijns; Ype S Tuininga; Jan G P Tijssen; A Marco Alings; Hans A Bosker; Jan H Cornel; Otto Kamp; Nic J G M Veeger; Meint Volbeda; Michiel Rienstra; Adelita V Ranchor; Elisabeth M TenVergert; Maarten P Van den Berg
Journal:  Am Heart J       Date:  2006-09       Impact factor: 4.749

6.  Differential regulation of gene expression by PITX2 isoforms.

Authors:  Carol J Cox; Herbert M Espinoza; Bryan McWilliams; Kimberly Chappell; Lisa Morton; Tord A Hjalt; Elena V Semina; Brad A Amendt
Journal:  J Biol Chem       Date:  2002-04-10       Impact factor: 5.157

7.  Lifetime risk for development of atrial fibrillation: the Framingham Heart Study.

Authors:  Donald M Lloyd-Jones; Thomas J Wang; Eric P Leip; Martin G Larson; Daniel Levy; Ramachandran S Vasan; Ralph B D'Agostino; Joseph M Massaro; Alexa Beiser; Philip A Wolf; Emelia J Benjamin
Journal:  Circulation       Date:  2004-08-16       Impact factor: 29.690

8.  Atrial natriuretic peptide frameshift mutation in familial atrial fibrillation.

Authors:  Denice M Hodgson-Zingman; Margaret L Karst; Leonid V Zingman; Denise M Heublein; Dawood Darbar; Kathleen J Herron; Jeffrey D Ballew; Mariza de Andrade; John C Burnett; Timothy M Olson
Journal:  N Engl J Med       Date:  2008-07-10       Impact factor: 91.245

9.  Randomized trial of rate-control versus rhythm-control in persistent atrial fibrillation: the Strategies of Treatment of Atrial Fibrillation (STAF) study.

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Journal:  J Am Coll Cardiol       Date:  2003-05-21       Impact factor: 24.094

Review 10.  Epidemiology of atrial fibrillation: European perspective.

Authors:  Massimo Zoni-Berisso; Fabrizio Lercari; Tiziana Carazza; Stefano Domenicucci
Journal:  Clin Epidemiol       Date:  2014-06-16       Impact factor: 4.790

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