Impact of ABCB1 genetic polymorphism on carbamazepine dose requirement among Southern Indian persons with epilepsy.

OBJECTIVES: Carbamazepine (CBZ) is one of the oldest, yet first line drugs for treating epilepsy. However, there is a large inter-individual difference in requirement of maintenance dose and one third of persons treated with antiepileptic drugs (AEDs) exhibit drug resistance to therapy. One of the proposed mechanisms for the drug resistance was increased expression of efflux transporter P-glycoprotein. The pharmacogenetic studies of drug transporters (ABCB1) done in combination therapies of AEDs were inconclusive. Hence, we have attempted to study the impact of ABCB1 3435C>T genetic polymorphism and CBZ monotherapy in persons with epilepsy (PWE) from South India, which is a genetically distinct population. With this background, this study was aimed to determine the dose of CBZ in ABCB1 3435C>T genotypes and to determine the distribution of ABCB1 3435C>T genotypes (which codes P-glycoprotein) between responders and non-responders to CBZ therapy. METHODS: A cross sectional study was conducted in 200 persons with epilepsy, who were categorised as responders and non-responders according to ILAE (international league against epilepsy) criteria. Eligible participants were enrolled from the epilepsy clinic of the neurology department and five ml of blood was collected. DNA extraction and genotyping were done by phenol-chloroform method and real time polymerase chain reaction (RT-PCR), respectively. RESULTS: The mean maintenance dose of carbamazepine was statistically significant among different genotypes (p<0.05) of ABCB1 3435C>T (526 vs. 637 mg/day in CC vs. TT genotype). There was no significant association between ABCB1 3435C>T polymorphism (p=0.827) and CBZ resistance in PWE. Duration of disease and age of onset were found to be significant in predicting the response to CBZ therapy. CONCLUSIONS: We report that ABCB1 3435C>T polymorphism is significantly associated with an increase in dose requirement of CBZ in persons with epilepsy from South India.

Impact of CYP2C9*2 and *3 polymorphisms on valproate-associated adverse drug reactions in individuals living with epilepsy: a case-control study.

Epilepsy is characterized by repeated seizure activity. Valproate, a commonly used antiepileptic drug, shows large inter-individual variation in plasma valproic levels and causes many adverse drug reactions. Aim: To find the influence of CYP2C9*2 and *3 polymorphisms on valproate-associated adverse drug reactions and plasma valproic acid levels in people with epilepsy. Methods: We recruited 158 people with epilepsy (79 cases and 79 controls) from an epilepsy clinic. Steady-state plasma valproic acid levels were measured using liquid chromatography-mass spectrometry and genotyping of CYP2C9 variants was carried out with helps of RT-PCR. Results: The presence of a mutant heterozygous genotype showed an odds ratio (OR) of 2.82 (95% CI: 1.10-7.24) and the adjusted OR was 5.39 (95% CI: 1.69-17.16). There was no significant difference in steady-state plasma valproate concentration between genotypes. Conclusion: The presence of a mutant heterozygous CYP2C9 genotype possesses five-times the risk of developing adverse drug reactions to valproate in people with epilepsy.

Predictive models for fentanyl dose requirement and postoperative pain using clinical and genetic factors in patients undergoing major breast surgery.

ABSTRACT: Fentanyl exhibits interindividual variability in its dose requirement due to various nongenetic and genetic factors such as single nucleotide polymorphisms (SNPs). This study aims to develop and cross-validate robust predictive models for postoperative fentanyl analgesic requirement and other related outcomes in patients undergoing major breast surgery. Data regarding genotypes of 10 candidate SNPs, cold pain test (CPT) scores, pupillary response to fentanyl (PRF), and other common clinical characteristics were recorded from 257 patients undergoing major breast surgery. Predictive models for 24-hour fentanyl requirement, 24-hour pain scores, and time for first analgesic (TFA) in the postoperative period were developed using 4 different algorithms: generalised linear regression model, linear support vector machine learning (SVM-Linear), random forest (RF), and Bayesian regularised neural network. The variant genotype of OPRM1 (rs1799971) and higher CPT scores were associated with higher 24-hour postoperative fentanyl consumption, whereas higher PRF and history of hypertension were associated with lower fentanyl requirement. The variant allele of COMT (rs4680) and higher CPT scores were associated with 24-hour postoperative pain scores. The variant genotype of CTSG (rs2070697), higher intraoperative fentanyl use, and higher CPT scores were associated with significantly lower TFA. The predictive models for 24-hour postoperative fentanyl requirement, pain scores, and TFA had R-squared values of 0.313 (SVM-Linear), 0.434 (SVM-Linear), and 0.532 (RF), respectively. We have developed and cross-validated predictive models for 24-hour postoperative fentanyl requirement, 24-hour postoperative pain scores, and TFA with satisfactory performance characteristics and incorporated them in a novel web application.

Impact of Genetic Variants on Postoperative Pain and Fentanyl Dose Requirement in Patients Undergoing Major Breast Surgery: A Candidate Gene Association Study.

BACKGROUND: Postoperative analgesia is crucial for the early and effective recovery of patients undergoing surgery. Although postoperative multimodal analgesia is widely practiced, opioids such as fentanyl are still one of the best analgesics. The analgesic response of fentanyl varies widely among individuals, probably due to genetic and nongenetic factors. Among genetic factors, single nucleotide polymorphisms (SNPs) may influence its analgesic response by altering the structure or function of genes involved in nociceptive, fentanyl pharmacodynamic, and pharmacokinetic pathways. Thus, it is necessary to comprehensively ascertain if the SNPs present in the aforementioned pathways are associated with interindividual differences in fentanyl requirement. In this study, we evaluated the association between 10 candidate SNPs in 9 genes and 24-hour postoperative fentanyl dose (primary outcome) and also with postoperative pain scores and time for first analgesia (secondary outcomes). METHODS: A total of 257 South Indian women, aged 18-70 years, with American Society of Anesthesiologists (ASA) physical status I-III, undergoing major breast surgery under general anesthesia, were included in the study. Patients were genotyped for candidate SNPs using real-time polymerase chain reaction. All patients received a standardized intravenous fentanyl infusion through a patient-controlled analgesic (PCA) pump, and the 24-hour postoperative fentanyl dose requirement was measured using PCA. RESULTS: The median 24-hour postoperative fentanyl requirement was higher in rs1799971 carriers (G/G versus A/A + A/G-620 µg [500-700] vs 460 µg [400-580]) with a geometric mean (GM) ratio of 1.91 (95% confidence interval [CI], 1.071-1.327). The median 24-hour pain scores were higher in rs4680 carriers (A/G + A/A versus G/G-34 [30-38] vs 31 [30-38]) with a GM ratio of 1.059 (95% CI, 1.018-1.101) and were lower in rs1045642 carriers (A/A + A/G versus G/G-34 [30-38] vs 30 [30-34]) with a GM ratio of 0.936 (95% CI, 0.889-0.987). The median time for first analgesic was lower in rs734784 carriers [C/C versus T/T + C/T-240 minutes (180-270) vs 240 minutes (210-270)] with a GM ratio of 0.902 (95% CI, 0.837-0.972). Five of 9 clinical factors, namely, history of diabetes, hypertension, hypothyroidism, anesthesia duration, and intraoperative fentanyl requirement were associated with different outcomes individually ( P < .05) and were used to adjust the respective associations. CONCLUSIONS: The SNP opioid receptor mu-1 ( OPRM1 ) (rs1799971) was associated with higher postoperative fentanyl requirement in South Indian patients undergoing major breast surgery. Twenty-four hour postoperative pain scores were higher in catechol-O-methyl transferase ( COMT ) (rs4680) carriers and lower in ATP binding cassette subfamily B member 1 ( ABCB1 ) (rs1045642) carriers, whereas time for first analgesic was lower in potassium channel subunit 1 ( KCNS1 ) (rs734784) carriers. However, these exploratory findings must be confirmed in a larger study.

CYP2C19 & UGT1A6 genetic polymorphisms and the impact on Valproic acid-induced weight gain in people with epilepsy: Prospective genetic association study.

OBJECTIVES: To study the association between CYP2C19*2 (681 G > A) and UGT1A6*2 (552A > C) polymorphisms on Valproic acid (VPA)-induced weight gain in People with epilepsy (PWE). METHODS: We recruited PWE on VPA monotherapy and genotyped for CYP2C19 and UGT1A6 polymorphisms. Association between CYP2C19 polymorphism and weight gain was the primary outcome parameter. We followed them up monthly for six months and recorded Body mass index (BMI), drug compliance, side effects, food frequency, physical activity. RESULTS: Of 108 participants recruited, we assessed the association between the polymorphism and weight gain in 101 PWE for CYP2C19*2 and 103 PWE for UGT1A6*2 polymorphism. The proportion of participants with weight gain was higher in those with poor and intermediate metabolizer genotypes of CYP2C19 (*1/*2 and *2/*2) compared to extensive metabolizers (*1/*1) [53.3 % vs 31.7 %, RR 1.68, 95 % CI (1.01-2.79), P = 0.03]. However, CYP2C19*2 allele did not show an increased risk of weight gain over the CYP2C19*1 allele. No association could be demonstrated with UGT1A6 genotypes and weight gain. In logistic regression analysis, CYP2C19*2 carrier genotype was the independent predictor of weight gain. OR 2.89 [95% CI (1.07-7.84)]. There were no significant association with serum TSH, fT4, testosterone, and valproate levels with CYP2C19 or UGT1A6 polymorphisms. SIGNIFICANCE: People with epilepsy carrying CYP2C19 polymorphisms (*1/*2) and (*2/*2) had 3 times higher risk of VPA-induced weight gain compared to wild type (*1/*1).

Association of CYP2C8, CYP2C9 and CYP2J2 gene polymorphisms with myocardial infarction in South Indian population.

BACKGROUND: Cardiovascular diseases (CVDs) are the major cause of mortality and morbidity worldwide. Myocardial infarction (MI) is a complex multi-factorial, polygenic disorder arising from an interaction between genetic makeup of individuals and various environmental factors. CYP2C8, CYP2C9 and CYP2J2 gene involved in the metabolism of arachidonic acid, generates epoxyeicosatrienoic acids (EETs) that mediate dilation of coronary arteries improving post-ischemic cardiac contractile function, reduce vascular inflammation, and increase intravascular fibrinolysis. The study is aimed at analyzing the association of CYP2C8, CYP2C9 and CYP2J2 gene polymorphisms and MI risk in the South Indian population. METHODS: This retrospective study consisted of 287 MI patients, 279 risk control patients and 321 healthy individuals. Blood samples were collected from all the subjects and DNA was isolated using standard phenol-chloroform method. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and real time-polymerase chain reaction (RT-PCR) methods were used for genotyping. To test the potential independent association between polymorphisms and the risk of MI, Multiple-logistic regression analysis was performed. RESULTS: Our findings displayed a significant association between CYP2J2*7 (p=0.04; OR=2.0) polymorphism and MI while comparing cases with to risk controls. We did not observe any association of CYP2C8*2, CYP2C8*3, CYP2C9*2 and CYP2C9*3 with MI. CONCLUSION: Our results suggest that individuals with any conventional risk factor for MI along with CYP2J2*7 variant allele may be predisposed to risk of MI in South Indian population.

Haplotype structures of common variants of CYP2C8, CYP2C9, and ADRB1 genes in a South Indian population.

INTRODUCTION: In association with candidate genes, the observed trait may be due to either one of the variant alleles or the interaction of variant alleles at different loci, which are in linkage disequilibrium. AIM: The objective of this study was to investigate the baseline allele and genotype frequencies, linkage disequilibrium (LD) patterns, and haplotype structures of common variants of the CYP2C8, CYP2C9, and ADRB1 genes located on chromosome 10. METHODS: Two hundred and forty-five healthy subjects were recruited from South India and were compared with the HapMap Project's population for LD pattern, allele and genotype frequencies, and haplotype structures. Genotyping was done using polymerase chain reaction-restriction fragment length polymorphism and TaqMan assay on real-time polymerase chain reaction. RESULTS: A significant ethnic difference was found in the LD patterns among the variant alleles between the South Indian population and other major ethnic groups, namely African, European, Chinese, and Japanese. CONCLUSION: This study established the normative allele and genotype frequencies, haplotype structure, and LD patterns of common variants of the CYP2C8, CYP2C9, and ADRB1 genes in a South Indian population (Tamilian). The data may be helpful to plan candidate gene-trait association studies in this population.

Influence of CYP2C9 and CYP2C19 genetic polymorphisms on phenytoin-induced neurological toxicity in Indian epileptic patients.

OBJECTIVE: Cytochrome P450 2C9 and 2C19 (CYP2C9 and CYP2C19, respectively) genetic polymorphisms play an important role in phenytoin (PHT) metabolism. We have evaluated whether these genetic polymorphisms have an effect on PHT-induced neurological toxicity in Tamilian (ethnic group native to southern India) patients with epilepsy. METHODS: We studied 292 Tamilian patients who were taking PHT for the treatment of various epileptic seizures. PHT toxicity was defined on the basis of neurological signs of toxicity and further sub-classified into mild, moderate, and severe toxicity based on clinical severity. Genomic DNA was extracted from peripheral leukocytes and genotyped for CYP2C9*2, *3 and CYP2C19*2, *3 by PCR-restriction fragment length polymorphism analysis. RESULTS: Of the 292 patients in the patient cohort, 58 were clinically diagnosed to have PHT toxicity. When risk ratios were calculated for each mutant CYP2C9 genotype separately, the adjusted odds ratio for CYP2C9*1/*3 was found to be 15.3 (95% confidence interval 5.8-40.3, P<0.0001) for the cases compared to controls. When the four single nucleotide polymorphisms of CYP2C9 and CYP2C19 were analyzed using a haplotype approach, significant difference in the distribution of the C-C-G-G haplotype was observed between the cases and controls. CONCLUSION: Our results show that CYP2C9 genetic polymorphisms (particularly the *3 allele) were associated with high risk of epileptic patients developing PHT-induced neurological toxicity.