Association study identifies genetic determinants and non-genetic factors on steady-state plasma and therapeutic outcome of galantamine in mixed dementia.

PURPOSE: This study aimed to evaluate the influence of genetic polymorphisms of drug-metabolizing enzyme genes, transporter gene, pathological gene (APOE), and non-genetic factors on therapeutic outcomes as well as steady-state plasma concentrations (Cpss) of galantamine in Thai patients with mixed dementia. METHODS: Fifty-one Thai patients with mixed dementia who received galantamine for at least 6 months were recruited. CYP2D6, CYP3A5, and ABCB1 polymorphisms were detected by TaqMan® Genotyping Assay. UGT1A1 and APOE polymorphism was detected by direct Sanger sequencing technique and restriction fragment length polymorphism technique. Cpss of galantamine was measured by ultra-performance liquid chromatography. Associations of genetic and non-genetic factors with Cpss and clinical outcomes (change in cognitive function as measured by the Thai Mental State Examination (ΔTMSE) scores) were determined by using univariate and multivariate analysis. RESULTS: The multivariate regression model revealed that patients who carried one or more detrimental allelic variant (CYP2D6, CYP3A5, and UGT1A1) showed a tendency toward a higher galantamine adjusted Cpss (B = 34.559, 95% CI = 0.741-68.377, p value = 0.045). Logistic regression analysis also revealed CYP2D6*10 carriers were significantly associated with higher ΔTMSE (B = 5.227, 95% CI = 2.395-8.060, p value = 0.001). UGT1A1 mutant alleles and non-genetic factors including concomitant use of statin drugs and higher education level can attenuate therapeutic outcomes of galantamine. CONCLUSION: Pharmacokinetic-related genes including CYP2D6*10 and UGT1A1 mutant alleles were significantly associated with galantamine adjusted Cpss and cognitive function. Determination of Cpss and genotype could be an adjunct examination to provide further explanation in interindividual variability of galantamine therapeutic outcome.

Influence of CYP2D6, CYP3A5, ABCB1, APOE polymorphisms and nongenetic factors on donepezil treatment in patients with Alzheimer's disease and vascular dementia.

PURPOSE: This study aims to evaluate the influence of genetic polymorphisms of CYP2D6, CYP3A5, ABCB1, and APOE genes and nongenetic factors on steady-state plasma concentrations (Cpss) of donepezil and therapeutic outcomes in Thai patients with Alzheimer's disease (AD) and vascular dementia (VAD). PATIENTS AND METHODS: Eighty-five dementia patients who received donepezil for at least six months were recruited. CYP2D6, CYP3A5, ABCB1, and APOE polymorphisms were genotyped. Cpss of donepezil was measured. Association of genetic and non-genetic factors with Cpss and clinical outcomes of donepezil (cognitive function as measured by the Thai Mental State Examination score; TMSE) were determined by using univariate and multivariate analysis. RESULTS: Both univariate and multiple linear regression analysis indicated that only CYP2D6*10 allele was associated with higher Cpss (p-value =0.029 and B =0.478, p-value =0.032, respectively) that might influence the clinical outcomes of donepezil. ie, TMSE (p-value =0.010 and B =4.527, p-value =0.001) and ΔTMSE (p-value =0.023 and B =4.107, p-value =0.002), especially in patients with AD. Interestingly, concomitant use of memantine was found to be associated with increased Cpss of donepezil (p-value =0.007 and B =0.511, p-value =0.014). Whereas, co-medication with antidepressant drugs attenuated clinical responses in patients with AD (TMSE: B =-2.719, p-value =0.013 and ΔTMSE: B =-2.348, p-value =0.028). Age was a significant predictor of donepezil response in VAD patients. No significant association of CYP3A5*3, ABCB1 3435C>T or ABCB1 1236C>T, and APOE ε4 genotypes with Cpss or clinical outcomes of donepezil was found in this study. CONCLUSION: Our results suggests that CYP2D6*10 strongly influences Cpss and there is a trend toward better outcomes of donepezil in patients with AD. Nongenetic factors including concomitant drugs treatment might alter Cpss of donepezil or clinical outcomes.

HLA Alleles and CYP2C9*3 as Predictors of Phenytoin Hypersensitivity in East Asians.

To develop a pre-emptive genetic test that comprises multiple predisposing alleles for the prevention of phenytoin-related severe cutaneous adverse reactions (SCARs), three sets of patients with phenytoin-SCAR and drug-tolerant controls from Taiwan, Thailand, and Japan, were enrolled for this study. In addition to cytochrome P450 (CYP)2C9*3, we found that HLA-B*13:01, HLA-B*15:02, and HLA-B*51:01 were significantly associated with phenytoin hypersensitivity with distinct phenotypic specificities. Strikingly, we showed an increase in predictive sensitivity of concurrently testing CYP2C9*3/HLA-B*13:01/HLA-B*15:02/HLA-B*51:01 from 30.5-71.9% for selecting the individuals with the risk of developing phenytoin-SCAR in Taiwanese cohorts, accompanied by a specificity of 77.7% (combined sensitivity, 64.7%; specificity, 71.9% for three Asian populations). Meta-analysis of the four combined risk alleles showed significant associations with phenytoin-SCAR in three Asian populations. In conclusion, combining the assessment of risk alleles of HLA and CYP2C9 potentiated the usefulness of predictive genetic tests to prevent phenytoin hypersensitivity in Asians.

Influence of genetic and non-genetic factors on phenytoin-induced severe cutaneous adverse drug reactions.

PURPOSE: The purpose of this study was to investigate the association of genetic factors including variants in HLA-B and CYP2C genes and non-genetic factors with phenotype-specific phenytoin (PHT)-induced severe cutaneous adverse reactions (SCARs) in Thai patients. METHODS: Thirty-six PHT-induced SCAR cases (15 Stevens-Johnson syndrome (SJS) and 21 drug rash with eosinophilia and systemic symptoms (DRESS)/drug hypersensitivity syndrome (DHS)) and 100 PHT-tolerant controls were studied. Variants in HLA-B, CYP2C9, and CYP2C19 genes were genotyped. Fisher's exact test and multiple logistic regression analysis were performed to test the association of genetic and non-genetic factors with specific type of SCARs. RESULTS: Multiple logistic regression models showed that genetic and non-genetic factors associated with PHT-induced SCARs were specified to its phenotype. HLA-B*13:01, HLA-B*56:02/04, CYP2C19*3, and omeprazole co-medication were strong risk factors of DRESS/DHS (adjusted OR = 13.29, p = 0.0001; adjusted OR = 56.23, p = 0.0007; adjusted OR = 6.75, p = 0.0414; and adjusted OR = 9.21, p = 0.0020, respectively). While CYP2C9*3 and having Chinese ancestry were significant risk factors of SJS (adjusted OR = 10.41, p = 0.0042 and adjusted OR = 5.40, p = 0.0097, respectively). Combined genetic and non-genetic risk factors optimized sensitivity and increased specificity for predicting PHT-induced SCARs. CONCLUSION: This study showed that distinct genetic markers were associated with phenotype-specific PHT-induced SCARs. Non-genetic factor, omeprazole co-medication, was strongly associated with PHT-induced DRESS/DHS in addition to variants in HLA-B and CYP2C genes. Combined markers may be better predictors for PHT-induced SCARs.