Objective To investigate the influence of CYP2C9 3，VKORC1-1639 G＞A and CYP4F2 rs2108622 genetic polymorphisms on warfarin dosages of patients after heart valve replacement. Methods A total of 133 patients undergoing heart valve replacement in the Department of Cardiovascular Surgery of Fujian Provincial Hospital from November 2011 to August 2012 were included in this study. Polymerase chain reaction（PCR）gene sequencing was performed to detect CYP2C9 3，VKORC1-1639 G＞A and CYP4F2 rs2108622 genetic polymorphism of these 133 patients. Patients were grouped according to their genotypes，and average warfarin dosages were compared between different genotype groups. Results The frequencies of CYP2C9 3 AA，AC and CC were 127 patients，6 patients and 0 patient respectively，and average daily warfarin dosages were 3.75 mg and 2.13 mg respectively which were statistically different between differentCYP2C9 3 genotypes （P＜0.05）. The frequencies of VKORC1-1639 G＞A GG，GA and AA were 3 patients，32 patientsand 98 patients respectively，and average daily warfarin dosages were 6.00 mg，4.50 mg and 3.00 mg respectively which were statistically different between different VKORC1-1639 G＞A genotypes （P＜0.05）. The frequencies of CYP4F2 rs 2108622 CC，CT and TT were 67 patients，59 patients and 7 patients respectively，and average daily warfarin dosages were 3.00 mg，3.75 mg and 4.50 mg respectively which were statistically different between different CYP4F2 rs2108622 genotypes（P＜0.05）. Conclusion CYP2C9 3，VKORC1-1639 G＞A and CYP4F2 rs2108622 genetic polymorphisms are associated with individual difference of warfarin dosages of patients after heart valve replacement.
Warfarin is one of the most frequently prescribed oral anticoagulant. Many researches have shown that the cytochrome P450 2C9 (CYP2C9) and vitamin K epoxide reductase complex 1 (VKORC1) genotypes have been strongly associated with warfarin maintenance doses. Warfarin maintenance doses can be accurately predicted by use of dosing algorithms including genetic and clinical information. Although several clinical trials demonstrated mixed results, calling into question the utility of this approach. The present data do not support genetic testing to guide warfarin maintenance doses, but in the setting where genotype data are available, use of this approach is reasonable. Ongoing trials are expected to provide more data, and more work is needed to define dosing algorithms that include appropriate variables in minority populations. All these work will further improve the clinical application of genotype-guided warfarin maintenance doses.
Objective To investigated the influence of the CYP2C9 polymorphism on lipid profile and blood concentration in epileptic children with VPA. Methods This study collected the information of healthy children and epilepsy children who were treated with VPA in the First Affiliated Hospital of Putian University during June, 2018 to March, 2021. The serum lipids of 184 cases were collected and compared between epilepsy group before and after treatment with VPA with the control group. The polymorphism of CYP2C9 gene in children with epilepsy was detected, and lipid and VPA concentration were compared after classification. Results There was no significant difference in lipid between the control group and the epilepsy group before treatment (P>0.05); The TC, HDL, LDL, TC/HDL, LDL/HDL were statistically different in VPA treatment group from the control group (P<0.05), and there were statistical differences in TG, LDL, TC/HDL, LDL/HDL between the trial group before the initiation and VPA treatment (P<0.05); There is no correlation between VPA blood concentration and lipid (P>0.05). VPA concentration, TC, HDL, LDL, TC/HDL and LDL/HDL in CYP2C9 wild-type were statistically different from heterozygous mutant. Conculsions CYP2C9 polymorphism and long-term use of VPA caused the changes in serum lipid levels in epilepsy children.
ObjectiveTo investigate the influence of high activity of CYP2C9 (Cytochrome P450 proteins 2C9)and VKORC (Vitamin K epoxide reductase C)on warfarin anticoagulation of patients after heart valve replacement (HVR). MethodsFrom February 2010 to May 2013, 40 patients with high activity of CYP2C9 and VKORC underwent HVR in the Department of Cardiac Surgery, the First Affiliated Hospital of Zhengzhou University. There were 18 male and 22 female patients with their age of 40-51 (45.18±2.93)years. There were18 patients receiving mitral valve replacement (MVR), 14 patients receiving MVR and tricuspid valvuloplasty (TVP), and 8 patients receiving double valve replacement (DVR). Depen-ding on whether they received preoperative genetic polymorphism detection of CYP2C9 and VKORC1, all the patients were divided into 2 groups with 20 patients in each group. Patients in group A didn't receive preoperative genetic polymorphism detection of CYP2C9 and VKORC1, while patients in group B received preoperative genetic polymorphism detection of CYP2C9 and VKORC1. Postoperatively, periodic examination of international normalized ratio (INR)was performed to adjust warfarin dosage. Time to reach expected INR value and morbidity were collected. All the patients were followed up for 3-12 months after discharge. Monthly telephone follow-up was performed to record INR values, morbidity and general recovery. ResultsPostoperatively, in group A, 2 patients had cerebral infarction, 2 patients had popliteal artery throm-bosis, 1 patient had pulmonary embolism, and 1 patient had thrombosis in the annulus. Expected INR was achieved 15-20 days after warfarin treatment among the other 14 patients without thromboembolism. Three months after surgery, CYP2C9 and VKORC1 gene polymorphism was examined to find 17 patients with positive CYP2C9*1/*1 (*2CC/*3AA)and positive VKORC1-1639 GA, and 3 patients with positive CYP2C9*1/*1 (*2CC/*3AA)and positive VKORC1-1639 GG. In Group B, patients received aspirin (100 mg/d)and low molecular heparin (0.4 ml/d)in addition to warfarin since the second posto-perative day. Expected INR was achieved 5-9 days after warfarin treatment, and then aspirin and low molecular heparin were discontinued. During the 6 months follow-up period, no obvious thromboembolism was found, and only 1 patient had epistaxis who was cured with nasal tamponade. ConclusionPreoperative detection of genetic polymorphisms of CYP2C9 and VKORC1 can provide important guidance for warfarin anticoagulation after HVR.
ObjectiveTo investigate the effect of CYP2C9 and APOE on the dose of stable warfarin and model prediction in Hainan population.MethodsFrom August 2016 to July 2018, 368 patients who required heart valve replacement and agreed to take warfarin anticoagulation at the second department of cardiothoracic surgery in our hospital were enrolled, including 152 males aged 48.5–70.5 (60.03±10.18) years and 216 females aged 43.5–65.6 (54.24±11.35) years. CYP2C9 and APOE were amplified by polymerase chain reaction. The gene fragment was sequenced by the Single Nucleotide Polymorphisms (SNP) site. The patients' age, sex, weight, history of smoking and drinking, and the dose of stable warfarin were recorded. Regression analysis of these clinical data was made to construct a dose prediction model.ResultsAmong 368 patients, CYP2C9 genotype test results showed 301 patients (81.8%) with *1*1 genotype, and 67 patients (18.2%) with *1*3 type. For different CYP2C9 genotype patients, the difference was statistically significant in the dose of stable warfarin (P<0.05). The results of APOE genotype showed 93 patients (25.3%) with E2 genotype, 221 patients (60.1%) with E3 genotype, and 54 patients (14.7%) with E4 genotype; the dose of stable warfarin in patients with different APOE genotypes was statistically significant (P<0.05). Multiple regression analysis showed that patients' age, body weight, and CYP2C9 and APOE genotypes were correlated with the dose of stable warfarin. The correlation coefficient R2 was 0.572, and the prediction model was statistically significant (P<0.05).ConclusionCYP2C9 and APOE gene polymorphisms exist in Hainan population. There is significant difference in the dose of stable warfarin among different genotypes of patients. The model to predict stable warfarin can partly explain the difference of warfarin among different patients.