CYP3A4*22 and CYP3A5*3 impact efficacy and safety of diazepam in patients with alcohol withdrawal syndrome.

BACKGROUND: Diazepam is one of the most commonly prescribed pharmaceuticals for the treatment of alcohol withdrawal syndrome (AWS). However, diazepam sometimes is ineffective, and some patients experience dose-dependent adverse drug reactions (ADR). Previous studies have shown that diazepam metabolism involves the CYP3A4 and CYP3A5 isoenzymes, whose activity is highly variable between individuals, which may contribute to differences in clinical response. PURPOSE: The study aimed to investigate the effects of the genetic polymorphisms CYP3A4*22 and CYP3A5*3 on the efficacy and safety of diazepam in patients with AWS. MATERIALS AND METHODS: One hundred male AWS patients received 30 mg/day diazepam by intramuscular injections for 5 days. Genotyping for CYP3A4*22 (rs35599367) and CYP3A5*3 (rs776746) was performed by real-time polymerase chain reaction with allele-specific hybridization. The efficacy and safety assessments were performed using psychometric scales. RESULTS: Patients who carry CT and TT genotypes by polymorphic marker C > T intron 6 (rs35599367) of the CYP3A4 gene had a higher risk for ADR and demonstrated lower safety of diazepam therapy (p < 0.001; two-way ANOVA). CONCLUSION: These results suggest that genotyping for common CYP3A variants might have the potential to guide benzodiazepine withdrawal treatment.

Effects of CYP2C19*17 genetic polymorphisms on plasma and saliva concentrations of diazepam in patients with alcohol withdrawal syndrome.

INTRODUCTION: Diazepam is one of the most commonly prescribed tranquilizers for the therapy of alcohol withdrawal syndrome (AWS). However, diazepam therapy often turns out to be ineffective, and some patients experience dose-dependent adverse drug reactions. Previous studies have shown that the metabolism of diazepam involves the CYP2C19 isoenzyme, whose activity is highly dependent on polymorphism of the encoding gene. OBJECTIVE: The study aimed to investigate the effects of CYP2C19*17 genetic polymorphisms on plasma and saliva concentrations of diazepam as well as its impact on the efficacy and safety rates of therapy in patients with AWS. MATERIAL AND METHODS: The study was conducted on 100 Russian male patients suffering from the AWS who received diazepam injections at a dosage of 30.0 mg/day for 5 days. Genotyping was performed by real-time PCR with allele-specific hybridization. The efficacy and safety assessment was performed using psychometric scales. RESULTS: Based on the results of the study, we revealed differences in the efficacy and safety of therapy in patients with different CYP2C19 -806C>T genotypes. Therapeutic drug monitoring revealed the statistically significant difference in the levels of diazepam plasma concentration: (CC) 251.76 (214.43; 310.61) vs. (CT+TT) 89.74 (54.18; 179.13); P = 0.003, and diazepam saliva concentration: (CC) 3.86 (3.22; 5.12) vs. (CT+TT) 0.79 (0.44; 1.56); P = 0.003. CONCLUSION: Our study showed the effects of CYP2C19*17 genetic polymorphisms on the efficacy and safety rates of diazepam. Furthermore, we revealed the statistically significant differences in plasma and saliva concentration levels of diazepam in patients carrying different genotypes.

Using the CYP3A Activity Evaluation to Predict the Efficacy and Safety of Diazepam in Patients With Alcohol Withdrawal Syndrome.

BACKGROUND: Diazepam is one of the most commonly prescribed tranquilizers for the therapy of alcohol withdrawal syndrome (AWS). Despite its popularity, there is currently no precise information on the effect of genetic polymorphisms on the efficacy and safety of diazepam therapy. OBJECTIVE: The objective of our study was to study the effect of CYP3A isoenzymes activity on the efficacy and safety of diazepam in patients with AWS. METHODS: The study was conducted on 30 Russian male patients suffering from the AWS who received diazepam in injections at a dosage of 30.0 mg / day for 5 days. The efficacy and safety assessment was performed using psychometric scales and scales for assessing the severity of adverse drug reactions. RESULTS: Based on the results of the study, we revealed the differences in the efficacy of therapy in patients with different CYP3A4 C>T intron 6 (rs35599367) genotypes: (CC) -9.0 [-13.0; -5.0], (CT+TT) -13.5 [-15.0; -10.0], p = 0.014. The scores on the UKU scale, which was used to evaluate the safety of therapy, were also different: (CC) 7.5 [6.0; 11.0], (CT+TT) 11.0 [8.0; 12.0], p = 0.003. CONCLUSION: Possible relationship between the CYP3A activity, evaluated by the content of the urinary endogenous substrate of the given isoenzyme and its metabolite, the 6-beta-hydroxy cortisol (6-ß-HC) / cortisol ratio, and the efficacy of diazepam was demonstrated. This possible relationship was also supported by the genotyping results. This should be taken into consideration when prescribing this drug to such patients in order to reduce the risk of pharmacoresistance.

Effects of CYP2C19*17 Genetic Polymorphisms on the Steady-State Concentration of Diazepam in Patients With Alcohol Withdrawal Syndrome.

Background: Diazepam is one of the most widely prescribed tranquilizers for the therapy of alcohol withdrawal syndrome (AWS), which includes the symptoms of anxiety, fear, and emotional tension. However, diazepam therapy often turns out to be ineffective, and some patients experience dose-dependent adverse drug reactions, reducing the efficacy of therapy. Aim: The purpose of our study was to investigate the effects of CYP2C19*17 genetic polymorphisms on the steady-state concentration of diazepam in patients with AWS. Materials and Methods: The study was conducted on 50 Russian male patients suffering from the AWS. For the therapy of psychomotor agitation, anxiety, fear, and emotional tension, patients received diazepam in injections at a dosage of 30.0 mg/day for 5 days. Genotyping was performed by real-time polymerase chain reaction. The efficacy and safety assessment was performed using psychometric scales and scales for assessing the severity of adverse drug reactions. Therapeutic drug monitoring (TDM) was performed using the high-performance liquid chromatography-mass spectrometry (HPLC-MS/MS) method. Results: Based on the results of the study, we revealed the differences in the efficacy of therapy in patients with different CYP2C19 -806C>T genotypes: (*1/*1) -12.0 [-15.0; -8.0], (*1/*17+*17/*17) -7.0 [-14.0; -5.0], P < .001, as well as the results of TDM: (CC) 250.70 [213.34; 308.53] ng/mL (*1/*17+*17/*17) 89.12 [53.26; 178.07] ng/mL, P < .001. Conclusion: Thus, our study enrolling 50 patients with AWS, showed the effects of CYP2C19*17 genetic polymorphisms on the efficacy and safety rates of diazepam. Furthermore, we revealed the statistically significant difference in the levels of plasma steady-state concentrations of diazepam in patients carrying different genotypes.

Impact of CYP2D6 Polymorphism on Equilibrium Concentration of Fluoxetine in Patients Diagnosed With Major Depressive Disorder and Comorbid Alcohol Use Disorders.

INTRODUCTION: Fluoxetine is used in the treatment of patients with recurrent depressive disorder. Some of these patients do not achieve an adequate response to a treatment regimen containing fluoxetine, and many of these patients experience dose-dependent adverse drug reactions. The cytochrome P450 enzyme CYP2D6 is involved in the biotransformation of fluoxetine, the activity of which is quite dependent on the polymorphism of the gene encoding this enzyme. OBJECTIVE: The objective of the study was to investigate the influence of the 1846G>A polymorphism of the CYP2D6 gene on the concentration/dose indicator of fluoxetine in patients diagnosed with major depressive disorder and comorbid alcohol use disorder. METHODS: Our study included 101 patients with major depressive disorder and alcohol use disorder (average age: 41.3±14.5 y) who were treated with fluoxetine at an average dose of 26.1±8.7 mg/d. Treatment efficacy was assessed using validated psychometric scales, and the safety/tolerability of the therapy was assessed using the Udvalg for Kliniske Undersogelser Side-Effect Rating Scale. Genotyping was done using a real-time polymerase chain reaction. Therapeutic drug monitoring was performed using high-performance liquid chromatography-mass spectrometry. RESULTS: CYP2D6 genotyping by polymorphic marker 1846G>A (rs3892097) in the 101 patients found that there were 81 patients (80.2%) with the GG genotype ("wild-type," normal metabolism), 20 (19.8%) with the GA genotype (intermediate metabolism), and no subjects with the AA genotype (poor metabolism). Statistically significant results in treatment efficacy as evaluated by Hamilton Rating Scale for Depression scores at the end of the treatment course were found: GG 9.0 [confidence interval (CI): 6.0; 12.0] and GA 12.0 (CI: 9.5; 14.0), P=0.005. Statistically significant results were also obtained for the safety profile as measured by scores on the Udvalg for Kliniske Undersogelser Side-Effect Rating Scale: GG 3.0 (CI 2.0; 4.0) and GA 5.0 (CI: 4.0; 5.0), P<0.001. Finally, a statistically significant difference was found in concentration/dose indicators of fluoxetine in patients with the different genotypes: GG 4.831 (CI: 3.654; 6.204) and GA 7.011 (CI: 5.431; 8.252), P<0.001. CONCLUSION: The effect of the genetic polymorphism of the CYP2D6 gene on the efficacy and safety profiles of fluoxetine was demonstrated in a group of 101 patients with major depressive disorder and alcohol use disorder.

Using a pharmacogenetic clinical decision support system to improve psychopharmacotherapy dosing in patients with affective disorders.

OBJECTIVES: Although pharmacogenetic tests provide the information on a genotype and the predicted phenotype, these tests do not themselves provide the interpretation of data for a physician. Currently, there are approximately two dozen pharmacogenomic clinical decision support systems (CDSSs) used in psychiatry. Implementation of the CDSSs forming the recommendations on drug and dose selection according to the results of pharmacogenetic testing is an urgent task. Fulfillment of this task will allow increasing the efficacy of therapy and decreasing the risk of undesirable side effects. METHODS: The study included 118 male patients (48 in the main group and 70 in the control group) with affective disorders and comorbid alcohol use disorder. To evaluate the efficacy and safety of therapy, several international psychometric scales and rating scales to measure side effects were used. Genotyping was performed using the real-time polymerase chain reaction with allele-specific hybridization. Pharmacogenetic testing results were interpreted using free software PGX2 (LLE Medicine, Russian Federation, Biomedical Cluster of Skolkovo, Moscow Innovative Cluster; www.pgx2.com). RESULTS: The statistically significant differences across the scores on psychometric scales were revealed. For instance, the total score on the Hamilton Rating Scale for Depression by day 9 was 9.0 [8.0; 10.0] for the main group and 11.0 [10.0; 12.0] (p<0.001) for the control group and by day 16 it was 4.0 [2.0; 6.0] for the main group and 14.0 [13.0; 14.0] (p<0.001) for the control group. The UKU Side-Effect Rating Scale (UKU) also revealed a statistically significant difference. The total score on the UKU scale by day 9 was 4.0 [4.0; 5.0] for the main group and 5.0 [5.0; 6.0] (p<0.001) for the control group and by day 16 this difference grew significantly: 3.0 [0.0; 4.2] for the main group and 9.0 [7.0; 11.0] (p<0.001) for the control group. CONCLUSIONS: Pharmacogenetic-guided personalization of the drug dose in patients with affective disorders and comorbid alcohol use disorder can reduce the risk of undesirable side effects and pharmacoresistance. It allows recommending the use of pharmacogenetic CDSSs for optimizing drug dosage.

How do CYP2C19*2 and CYP2C19*17 genetic polymorphisms affect the efficacy and safety of diazepam in patients with alcohol withdrawal syndrome?

Background Diazepam is one of the most commonly prescribed tranquilizers for therapy of alcohol withdrawal syndrome (AWS). Despite its popularity, there is currently no precise information on the effect of genetic polymorphisms on its efficacy and safety. The objective of our study was to investigate the effect of CYP2C19*2 and CYP2C19*17 genetic polymorphisms on the efficacy and safety of diazepam in patients with AWS. Methods The study was conducted on 30 Russian male patients suffering from the AWS who received diazepam in injections at a dosage of 30.0 mg/day for 5 days. The efficacy and safety assessment was performed using psychometric scales and scales for assessing the severity of adverse drug reactions. Results Based on the results of the study, we revealed the differences in the efficacy of therapy in patients with different CYP2C19 681G>A (CYP2C19*2, rs4244285) genotypes: (CYP2C19*1/*1) -8.5 [-15.0; -5.0], (CYP2C19*1/*2 and CYP2C19*2/*2) -12.0 [-13.0; -9.0], p = 0.021. The UKU scale scores, which were used to evaluate the safety of therapy, were also different: (CYP2C19*1/*1) 7.0 [6.0; 12.0], (CYP2C19*1/*2 and CYP2C19*2/*2) 9.5 [8.0; 11.0], p = 0.009. Patients carrying different CYP2C19 -806C>T (CYP2C19*17, rs12248560) genotypes also demonstrated differences in therapy efficacy and safety rates. Conclusions Thus, the effects of CYP2C19*2 and CYP2C19*17 genetic polymorphisms on the efficacy of diazepam were demonstrated.