| Literature DB >> 28408837 |
LiQun Jia1, Zanxin Wang1,2, Jianlong Men3, Heng Cai4, Minxin Wei2.
Abstract
OBJECTIVE: Warfarin is a commonly prescribed anticoagulant for prevention of thromboembolic events. Wide inter-individual dose variation, narrow therapeutic range and risk of serious bleeding result in difficulties in achieving the therapeutic effect. The present study was designed to clarify the real biological significance of the polymorphisms of VKORC1 and cytochrome P450 2C9 (CYP2C9) in warfarin metabolism.Entities:
Keywords: cytochrome P450; polymorphism; vitamin K; warfarin
Year: 2017 PMID: 28408837 PMCID: PMC5384741 DOI: 10.2147/TCRM.S130198
Source DB: PubMed Journal: Ther Clin Risk Manag ISSN: 1176-6336 Impact factor: 2.423
Patient characteristics
| Parameters | Data |
|---|---|
| Sex (M/F) | 111/103 |
| Age (years) | 58.8±10.9 |
| BMI (kg/m2) | 24.1±3.5 |
| Smoking (n, %) | 73 (34.3%) |
| Alcohol drinking (n, %) | 29 (13.7%) |
| Diabetes mellitus (n, %) | 25 (11.8%) |
| Kinds of disease | |
| Atrial fibrillation (n, %) | 74 (34.6%) |
| AVR (n, %) | 59 (27.6%) |
| MVR (n, %) | 29 (13.6%) |
| AVR + MVR (n, %) | 27 (12.6%) |
| MVR + CABG (n, %) | 25 (11.6%) |
Note: Data are presented as either mean ± SD or counts.
Abbreviations: M, male; F, female; BMI, body mass index; AVR, aortic valve replacement; MVR, mitral valve replacement; CABG, coronary artery bypass grafting; SD, standard deviation.
Genotype distributions
| Polymorphisms | Genotype | Allele | |||
|---|---|---|---|---|---|
| VKORC1 | TT(184) | CT(30) | CC(0) | T(398) | C(30) 0.270 |
| VKORC1 | CC(184) | CG(30) | GG(0) | C(398) | G(30) 0.270 |
| VKORC1 | TT(184) | CT(30) | TT(0) | T(398) | C(30) 0.270 |
| VKORC1 | GG(184) | GA(30) | AA(0) | G(398) | A(30) 0.270 |
| CYP2C9 exon 4 | GG(193) | GC(21) | CC(0) | G(407) | C(21) 0.450 |
Note: Data in parentheses are numbers of each genotype.
Clinical characteristics in three groups of genotypes
| Parameters | VKORC1 1173CT, 1542GC, 2255CT, 3730CT carriers (n=30) | CYP2C9 exon 4 −65GC carriers (n=21) | Others (n=163) | |
|---|---|---|---|---|
| Sex (M/F) | 16/14 | 7/14 | 88/75 | 0.344 |
| Age (years) | 56.4±8.1 | 56.2±16.7 | 59.5±10.5 | 0.294 |
| BMI (kg/m2) | 24.5±3.1 | 25.2±5.0 | 24.0±3.4 | 0.423 |
| Smoking (n, %) | 10 (33%) | 5 (25%) | 58 (36%) | 0.523 |
| Alcohol drinking (n, %) | 4 (14%) | 4 (17%) | 21 (13%) | 0.871 |
| Diabetes mellitus (n, %) | 4 (14%) | 2 (8%) | 19 (12) | 0.512 |
Note: Data are presented as either mean ± SD or counts.
Abbreviations: M, male; F, female; BMI, body mass index; SD, standard deviation.
Figure 1Warfarin dosages in different genotypes.
Notes: Data are presented as mean ± standard deviation. *Compared to others, P=0.012, **compared to others, P=0.034.
Logistic regression for patients’ covariates that are associated with high warfarin doses
| Covariates | OR (95% CI) | |
|---|---|---|
| Sex, male | 1.866 (0.947–3.677) | 0.072 |
| Age | 1.001 (0.971–1.032) | 0.927 |
| BMI >27 kg/m2 | 1.223 (1.097–1.363) | ,0.001 |
| VKORC1 1173CT, 1542GC, 2255CT, 3730CT carriers | 3.233 (1.259–8.303) | 0.015 |
| CYP2C9 exon 4 −65GC carrier | 2.433 (0.830–7.131) | 0.105 |
Abbreviations: OR, odds ratio; CI, confidence interval; BMI, body mass index.