CYP2C19 Gene Research Articles

CYP2C gene polymorphisms in North African populations.

Cytochrome P450 is a superfamily of genes generating hemoproteins that metabolize foreign chemicals as well as endogenous compounds, such as steroids. The human CYP2C genes (CYP2C8, CYP2C9, CYP2C18, CYP2C19) cluster on chromosome 10 and metabolize many clinically useful drugs. CYP2C19 and CYP2C9 have been the most studied while CYP2C8 has been studied less frequently. CYP2C18 has been relatively ignored until recently but its importance has begun to be recognized. We studied the genotypes of 7 pharmacogenetic markers in 3 CYP2C genes: CYP2C19 (rs12248560), CYP2C9 (rs4918758, rs1799853), and CYP2C8 (rs10509681, rs11572103, rs1058930, rs11572080), in one Libyan population and 7 Tunisian populations. Five of the 7 SNPs are in exons and have functional consequences while one intronic SNP is considered to be in close proximity to a regulatory region because of the many studies that report associations with metabolic effects. We carried out principal component analysis (PCA) on the North African populations and 83 other populations from the 1000 Genomes Project and Kidd Laboratory. The geographic clustering observed via PCA was more pronounced when considering multi-SNP haplotype frequencies. This studyreveals the intermediate position of North Africans between Europeans and Asians and the varied dissimilarities with other world regions. The genetic variation observed within and between geographic regions have implications for drug metabolism and adverse individual responses to medical treatments.

Pediatric pharmacogenetics: profiling CYP2C8 polymorphisms at King Abdulaziz University Dental Clinic.

Ibuprofen, a widely used non-steroidal anti-inflammatory (NSAID) for managing pain and inflammation in pediatric patients, is metabolized by the CYP2C8 enzyme. Studies suggest that the CYP2C8*2, *3, and *4 variations of the CYP2C8 gene diminish ibuprofen metabolism, increasing the risk of adverse reactions. The aim of this study was to determine the frequency of the CYP2C8*2, *3, and *4 alleles and genotypes in a pediatric population attending the King Abdulaziz University dental clinic and compare our findings to those of other populations. A cross-sectional study was conducted with 140 healthy Saudi children ages 6-12. Saliva samples were collected using Oragene™ DNA Sample Collection Kits and analyzed for polymorphisms using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The study identified that CYP2C8*2 AA, AT, and TT genotypes occurred at frequencies of 87.86 %, 9.29 %, and 2.86 %, respectively. For CYP2C8*3, AA, AG, and GG genotypes were found in 87.14 , 8.75, and 4.29 % of subjects, respectively. The CYP2C8*4 allele was less frequent, with CC and CG genotypes at 97.86 % and 2.14 %, respectively, and the GG genotype was absent. Allele frequencies for CYP2C8*2, *3, and *4 were 7.5 %, 8.57 %, and 1.07 %, respectively. Our findings reveal that the allelic frequencies for the CYP2C8 polymorphisms in the Saudi pediatric cohort are substantially elevated compared to those reported in other Asian populations. This suggests Saudis may experience more varied drug responses, especially for medications that undergo metabolism by the CYP2C8 enzyme, like ibuprofen.

CYP2C19 Genetic Variants and Major Depressive Disorder: A Systematic Review

Major depressive disorder (MDD) affects over 300 million people globally and has a multifactorial etiology. The CYP2C19 enzyme, involved in metabolizing certain antidepressants, can influence treatment response. Following the PRISMA protocol and PECOS strategy, this systematic review assessed the variation in common CYP2C19 gene variants’ frequencies across populations with MDD, evaluating their impact on clinical characteristics and treatment response. We comprehensively searched five databases, identifying 240 articles, of which only nine within the last decade met our inclusion criteria. Except for one study that achieved 74.28% of STROPS items, the rest met at least 75% of GRIPS and STROPS guidelines for quality and bias risk assessment. The CYP2C19’s *1 allele, the *1/*1 genotype, and the NM phenotype, considered as references, were generally more frequent. Other CYP2C19 polymorphism frequencies exhibit significant variability across different populations. Some studies associated variants with MDD development, a more extended history of depression, prolonged depressive episodes, and symptom severity, while others reported no such association. Some studies confirmed variants’ effects on escitalopram and citalopram metabolism but not that of other drugs, such as sertraline, venlafaxine, and bupropion. Treatment tolerability and symptom improvement also varied between studies. Despite some common findings, inconsistencies highlight the need for further research to clarify the role of these polymorphisms in MDD and optimize treatment strategies.

Association of polymorphisms in CYP2C8 and CYP2C9 with susceptibility to type 2 diabetes mellitus in a Chinese population

AimsCYP2C8 and CYP2C9 are cytochrome P450 epoxygenases responsible for metabolizing arachidonic acid into epoxyeicosatrienoic acids (EETs). These EETs play a crucial role as lipid mediators with numerous beneficial effects in type 2 diabetes mellitus (T2DM). In this study, we aimed to investigate the association of CYP2C8 and CYP2C9 genetic variants with T2DM in a Chinese population. MethodsWe conducted genotyping for 9 tag single nucleotide polymorphisms (SNPs) in CYP2C8 and 10 tag SNPs in CYP2C9 based on HapMap Chinese and Japanese data. Subsequently, we genotyped these SNPs in a Chinese cohort comprising 3410 individuals with T2DM and 3401 healthy controls. Statistical analyses were performed to assess the association between these SNPs and T2DM. ResultsIn our study population, we observed that rs1819173, located within the CYP2C9 gene region, was significantly associated with T2DM. Notably, the presence of the A allele was found to be protective against T2DM, as indicated by an odds ratio of 0.840 (95 % confidence interval: 0.780–0.904, P = 3.04 × 10−6). Furthermore, specific haplotypes (GT and AT) involving rs2071426 and rs6583967 in CYP2C8 exhibited associations with T2DM (P = 0.049 and 0.038, respectively). Subsequently, we conducted an analysis of the association between rs1819173 and non-alcoholic fatty liver disease (NAFLD), revealing a significant correlation (OR = 0.764, 95 % CI: 0.629–0.928, P = 0.007). ConclusionOur research identified a genetic variants rs1819173 within CYP2C8 are significantly associated with T2DM susceptibility in the Chinese population.

Characteristics and predictors of cardiovascular events related to CYP2C19 gene polymorphisms following acute coronary syndrome.

Cardiovascular events prognosis based on CYP2C19 gene polymorphisms had many applications in clinical practice. Assessed characteristics and predictive performance of cardiovascular events in acute coronary syndrome patients with CYP2C19 gene polymorphisms. The patients were analyzed for CYP2C19 gene polymorphisms by real-time polymerase chain reaction (PCR). The PCR worked with primers around the mutant, as well as two fluorescent probes, one specific for the normal allele and the other for the mutant allele, and cardiovascular events were followed at 3 months and 6 months. Patients with CYP2C19 gene polymorphism accounted for 48.6% of which CYP2C19 *1/*2 genotype had the highest proportion (31.7%). The normal metabolizer phenotype was the majority (51.4%), and the *1 allele proportion accounted for the most (72.2%). Patients with type 2 diabetes (HR: 3.082, 95% CI: 1.652-5.747, p < 0.001) and ST-segment elevation myocardial infarction (HR: 2.874, 95% CI: 1.528-5.404, p = 0.001) were independent prognostic factors for cardiovascular events at 90 days. Type 2 diabetes was an independent prognostic factor for cardiovascular events at 180 days (HR: 3.714, 95% CI: 1.557-8.862, p = 0.003). The CYP2C19 gene polymorphism was an independent prognostic factor of cardiovascular events at 90 days (HR: 1.965, 95% CI: 1.012-3.814, p = 0.046). However, at 180 days of analysis, the association between the CYP2C19 gene polymorphism was not significant (HR: 2.234, 95% CI: 0.862-5.789, p = 0.098). CYP2C19 gene polymorphism was an independent prognostic factor of cardiovascular events 90 days after acute coronary syndrome.

The relationship between CYP2C9 gene polymorphisms and azilsartan metabolism in vitro

ABSTRACT Background The gene polymorphisms of the CYP2C9, as well as the substrate specificity of the enzyme, result in different clearances for different substrates by CYP2C9 variants. Research designand methods The CYP2C9 wild type and 38 CYP2C9 variants, expressed in insectmicrosomes, were incubated with azilsartan. The resulting metabolite,O-desethyl azilsartan, was determined by HPLC-MS/MS. The enzyme kineticparameters of the 38 variants were calculated and compared with the wild type.Subsequently, we selected CYP2C9*1, *2, and *3 as target proteins for molecular docking with azilsartan to elucidate the mechanisms underlying changes in enzyme function. Results Compared with CYP2C9*1, three variants (CYP2C9*29, *39, and *49) exhibited markedlyincreased CLint values (from 170%-275%, *p < 0.05), whereas 28 variants exhibited significantly decreased CLint values (from 3-63%,*p < 0.05). The molecular docking results showed that the binding energy of CYP2C9*2 and *3 was lower than that of the wild type. Conclusion Thisassessment revealed the effect of CYP2C9 gene polymorphisms on azilsartan metabolism, establishing a theoretical basis for further in-vivo studies and clinical applications. This study will help expand the database of CYP2C9 gene-drug pairs and identify appropriate treatment strategies for azilsartan, contributing to the field of precision medicine.

Pharmacogenetics of warfarin: A literature review

Warfarin is an oral indirect anticoagulant that is widely used for the prevention of thromboembolic events. Pharmacogenetic testing is the most promising approach to personalizing warfarin treatment. In this review, we aimed to summarize how the patients’ genetic predispositions affect the pharmacokinetics of warfarin, which determines the different dosing regimens for patients. To correctly interpret data in clinical settings, algorithms for selecting the optimal dosing regimen need to be developed that consider the patient’s age, sex, weight, height, health status, and genetic characteristics. These algorithms could help determine the optimal dose, enhance patient adherence to treatment, and increase the physician’s confidence in the treatment safety. Furthermore, although algorithms that consider SNPs in the CYP2C9, VKORC1, and CYP4F2 genes are more effective in predicting warfarin doses, their effectiveness varies according to race.

The prognostic difference study on the individualized clopidogrel administration in Hmong and Dong patients based on the CYP2C19 gene polymorphism after percutaneous coronary intervention.

This study explored the distribution characteristics of CYP2C19 gene polymorphism among Hmong and Dong patients in the Qiandongnan region of Guizhou province after percutaneous coronary intervention (PCI). The aim was to assess the clinical impact of individualized clopidogrel administration based on CYP2C19 genotypes. A total of 208 patients were classified into ultra-fast, fast, intermediate, and slow metabolic groups. They were randomly assigned to clopidogrel individualized administration (IA) or conventional treatment (CA) groups. Patients were followed for 6 months to evaluate major adverse cardiovascular events (MACE) and adverse reactions. The CYP2C19 genotype distribution was in Hardy-Weinberg equilibrium, showing consistency in the population. While no significant ethnic differences were found in genotype and metabolic distribution, allele distribution varied, with Hmong patients exhibiting a higher proportion of CYP2C19*1 alleles than Dong patients. Following individualized administration, the IA group demonstrated lower incidences of non-fatal myocardial infarction and emergency revascularization compared to the CA group. Bleeding events were higher in the IA group, but the total MACE incidence was lower. No statistical difference in MACE and adverse drug reactions (ADR) was observed in the CA group across metabolic types, but MACE incidence was higher in intermediate and slow metabolic groups. In the IA group, no significant difference in MACE was noted among metabolic types, but ADR incidence varied significantly, particularly in dyspnea. The study highlighted significant CYP2C19 allele distribution differences between Hmong and Dong patients post-PCI in Qiandongnan. Patients with slow metabolic profiles demonstrated higher MACE incidence with conventional clopidogrel dosage, whereas CYP2C19-guided therapy reduced MACE without increasing bleeding risk. These findings supported clinical individualized clopidogrel administration in post-PCI patients in the Qiandongnan region, contributing to rational clopidogrel use.

The Impact of CYP 2C9 rs1799853 and rs1057910 Polymorphism on Plasma Losartan Metabolic Ratio in a Sample of Iraqi Hypertensive Patients

Background: The challenge associated with interindividual diversity in CYP2C9 enzyme activity is primarily related to genetic variations among individuals. Polymorphisms in the CYP2C9 gene can lead to different enzyme activity, affecting how individuals metabolize drugs. The understanding of interindividual diversity in CYP2C9 enzyme activity has implications for personalized medicine. Objective: To examine the impact of CYP2C9 gene polymorphisms (rs1799853 and rs1057910) on the losartan metabolism in Iraqi hypertensive patients. Methods: This prospective interventional study was conducted on a sample of hypertension patients from Babylon governorate, Iraq. All patients received 100 mg of losartan once daily. After 4 weeks, blood samples were obtained for genetic analysis and measuring losartan and its carboxylic acid (LCA) metabolite levels. The plasma losartan-to-LCA ratio is used as an indirect determinant of CYP2C9 activity within CYP2C9 SNP genotypes. Results: Two major allelic polymorphisms, CYP2C9 rs1799853 (T allele 15.5%) on exon 3 and rs1057910 (C allele 8.5%) on exon 7, have been identified among the patients. Plasma losartan/E3174 metabolic ratio was significantly higher in patients with a CT genotype of rs1799853 SNP (1.65) than in patients with a CC wild-type genotype (1.03). The losartan/E3174 metabolic ratio in heterozygous mutant AC genotypes of rs1057910 (1.18) was also higher than in those with wild-type AA genotypes (1.15); however, these differences are not statistically significant. Conclusions: The rs1799853 SNP variant, but not the rs1057910 SNP variant, significantly impacts CYP2C9 metabolic activity. The plasma losartan/E3174 metabolic ratio appears to be a practical and reliable measure for CYP2C9 activity.

Patterns of pharmacogenetic variation in nine biogeographic groups.

Frequencies of pharmacogenetic (PGx) variants are known to differ substantially across populations but much of the available PGx literature focuses on one or a few population groups, often defined in nonstandardized ways, or on a specific gene or variant. Guidelines produced by the Clinical Pharmacogenetic Implementation Consortium (CPIC) provide consistent methods of literature extraction, curation, and reporting, including comprehensive curation of allele frequency data across nine defined "biogeographic groups" from the PGx literature. We extracted data from 23 CPIC guidelines encompassing 19 genes to compare the sizes of the populations from each group and allele frequencies of altered function alleles across groups. The European group was the largest in the curated literature for 16 of the 19 genes, while the American and Oceanian groups were the smallest. Nearly 200 alleles were detected in nonreference groups that were not reported in the largest (reference) group. The genes CYP2B6 and CYP2C9 were more likely to have higher frequencies of altered function alleles in nonreference groups compared to the reference group, while the genes CYP4F2, DPYD, SLCO1B1, and UGT1A1 were less likely to have higher frequencies in nonreference groups. PGx allele frequencies and function differ substantially across nine biogeographic groups, all but two of which are underrepresented in available PGx data. Awareness of these differences and increased efforts to characterize the breadth of global PGx variation are needed to ensure that implementation of PGx-guided drug selection does not further widen existing health disparities among populations currently underrepresented in PGx data.

A physiologically based pharmacokinetic model of voriconazole in human CNS—Integrating time-dependent inhibition of CYP3A4, genetic polymorphisms of CYP2C19 and possible transporter mechanisms

ObjectivesVoriconazole is a classical antifungal drug that is often used to treat CNS fungal infections due to its permeability through the BBB. However, its clinical use remains challenging because of its narrow therapeutic window and wide inter-individual variability. In this study, we proposed an optimised and validated PBPK model by integrating in vitro, in vivo and clinical data to simulate the distribution and PK process of voriconazole in the CNS, providing guidance for clinical individualised treatment. MethodsThe model structure was optimised and tissue-to-plasma partition coefficients were obtained through animal experiments. Using the allometric relationships, the distribution of voriconazole in the human CNS was predicted. The model integrated factors affecting inter-individual variation and drug interactions of voriconazole—polymorphisms in the CYP2C19 gene and auto-inhibition and then was validated using real clinical data. ResultsThe overall AFE value showing model predicted differences was 1.1420 in the healthy population; and in the first prediction of plasma and CSF in actual clinical patients, 89.5% of the values were within the 2-fold error interval, indicating good predictive performance of the model. The bioavailability of voriconazole varied at different doses (39%-86%), and the optimised model conformed to this pattern (46%–83%). ConclusionsCombined with the relevant pharmacodynamic indexes, the PBPK model provides a feasible way for precise medication in patients with CNS infection and improve the treatment effect and prognosis.

Pharmacogenomic Polygenic Model of Clopidogrel Predicts Recurrent Ischemic Events in Chinese Patients With Coronary Artery Disease

Patients with coronary artery disease (CAD) need to take antiplatelet drugs regularly in order to prevent thrombosis; however, there is existing inter-individual variability in drug response. Pharmacogenomic studies indicate that drug response may also be influenced by genetic variants, and multiple genetic variants may work together. We assumed that patients carrying more risk alleles might have a worse clopidogrel drug response and that a polygenic model integrated different single variants might have the potential to explain clopidogrel drug response variability better. We aimed to investigate whether the polygenic model could be used to predict clopidogrel drug response. A total of 935 CAD patients were enrolled in the study. We investigated the association between 19 clopidogrel-related single-nucleotide polymorphisms (SNPs) and the incidence of recurrent ischemic events. Additionally, a polygenic model was constructed to assess the risk of ischemic events. There were only 2 SNPs of CYP2C8 gene (rs1934980 and rs17110453) that were nominally associated with incidence of recurrent ischemic events. We constructed a polygenic model integrated with 6 clopidogrel-related SNPs. When compared with patients carrying 6 or fewer risk alleles, patients with 7 or more risk alleles had a higher risk of ischemic events (hazard ratio = 1.87; P = 0.04). The polygenetic model may be useful for clopidogrel drug response prediction in patients with CAD.

Evaluating the Effect of Estimating Renal Function With the CKD-EPI 2021 Equation on the ABCD-GENE Score for Clopidogrel Response Prediction.

The ABCD-GENE score was developed to predict poor response to clopidogrel and includes Age, Body mass index, Chronic kidney disease (CKD; estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m2), Diabetes, and CYP2C19 GENE variants; a score ≥ 10 is predictive of reduced clopidogrel effectiveness after percutaneous coronary intervention (PCI). Estimation of GFR without a race variable via the CKD-EPI Scr 2021 equation is now recommended. We examined the impact of using the CKD-EPI Scr 2021 vs. 2009 equation on the ABCD-GENE score for post-PCI patients. A total of 4335 adult patients (n = 925 Black) who underwent PCI and CYP2C19 genotyping were included, with GFR estimated for each patient via the CKD-EPI Scr 2021 and CKD-EPI 2009 equations. The ABCD-GENE score, calculated based on each GFR estimation, was compared. With the CKD-EPI Scr 2021 vs. 2009 equation, median (IQR) eGFR was lower (74 [55-94] vs. 81 [60-103] mL/min/1.73 m2, P < 0.001), and CKD prevalence was higher (31% vs. 25%, P < 0.001) among Black patients, whereas eGFR was higher (85 [65-99] vs. 80 [61-94] mL/min/1.73m2, P < 0.001), and CKD prevalence was lower (20% vs. 24%, P < 0.001) in non-Black patients. This led to 12 (1%) Black patients being reclassified from low to high risk of poor clopidogrel response and 30 (1%) non-Black patients being recategorized from high to low risk (P < 0.001 for both comparisons). Removal of the race variable from GFR estimation significantly impacted the prediction of clopidogrel effectiveness via the ABCD-GENE score.

A Perspective Study on Therapeutic Drug Monitoring of Voriconazole in Pediatric Patients with Hematologic Disorders

Background: The incidence of invasive aspergillosis and the administration of voriconazole have risen among immunocompromised patients. Objectives: This study aimed to evaluate serum voriconazole concentration and its corresponding influential factors in pediatric patients with hematologic disorders. Methods: A total of 132 blood samples were collected from 44 pediatric patients with hematologic disorders infected with invasive aspergillosis and treated with voriconazole. Among these patients, 20.5% were classified as having proven invasive aspergillosis, 77.2% as probable, and 2.3% as possible. Voriconazole serum levels were evaluated using HPLC on the 3rd, 5th, and 7th days of treatment. Genotyping of the CYP2C19 alleles (*2, *3, and *17) was performed, and demographic and clinical data were gathered from records between 2018 to 2020. Results: The voriconazole concentration in 70.5% of patients and 77.3% of treatment cases (complete or partial) ranged from 1 to 5.5 µg/mL. Adverse events were observed in 4.5% of the patients. Genotyping of CYP2C19 genes revealed CYP2C1911 (5.4%), CYP2C19117 (16.2%), CYP2C1912 (51.4%), and CYP2C19217 (27%). Multivariate analysis using linear regression demonstrated that serum voriconazole concentration increased by 0.037 µg/mL per year of age and by 0.06 µg/mL for each unit increase in C-reactive protein (on the 3rd day of voriconazole therapy). Additionally, an increase in alanine aminotransferase level by 1 unit decreased the mean voriconazole concentration by 0.03 µg/mL. Of these patients, 65.9% were completely treated, 11.4% were partially treated, and 22.7% died. Conclusions: Serum voriconazole concentrations varied among pediatric hematologic patients receiving standard doses, with age, C-reactive protein, and alanine aminotransferase levels affecting the concentration of voriconazole in the sera of pediatric patients.

Integrated Management of Post-Myocardial Infarction Patients Using Genetic Analysis and Remote Control

Coronary heart disease (CHD) remains a leading cause of mortality and morbidity worldwide, particularly due to complications following myocardial infarction (MI). Despite advancements in therapeutic strategies, the prognosis for MI patients varies significantly, necessitating a comprehensive approach that integrates genetic and non-genetic factors. This study addresses the knowledge gap by evaluating the influence of genetic polymorphisms and non-genetic factors on the 12-month prognosis of MI patients. Using a cohort of 250 post-MI patients, we conducted genetic analysis on polymorphisms of the AGT, ADRB1, APOE, LPL, and CYP2C19 genes and assessed their correlation with clinical outcomes using modern statistical methods. Our findings indicate significant associations between specific gene polymorphisms and patient prognosis, highlighting the importance of personalized medicine. The results suggest that incorporating genetic analysis into the management of MI patients can improve survival rates and inform targeted therapeutic interventions, offering a novel approach to enhancing patient care in clinical settings.

Clinical analysis of dual enhanced antiplatelet therapy after cerebrovascular intervention for reducing the risk of cerebral infarction recurrence

To investigate the clinical assessment of dual-enhanced antiplatelet therapy after cerebrovascular intervention to reduce the risk of cerebral infarction recurrence, and to provide a reference for the prevention and treatment of cerebral infarction recurrence risk. 202 patients with cerebral infarction who underwent cerebrovascular intervention in Tianjin Fifth Central Hospital from January 2018 to October 2022 were selected as study subjects. The patients were divided into a treatment group (n=104) based on randomized controlled single-blind method with 61 males and 43 females with a mean age of (62.33±2.57) years old and a control group (n=98) with 56 males and 42 females with a mean age of (62.49±2.36) years old. The control group was given aspirin mono-antiplatelet therapy, and the treatment group was given clopidogrel doublet augmented antiplatelet therapy on the basis of the control group, and both groups continued the treatment for 2 months. Platelet counts, coagulation indexes and inflammatory factors were compared between the two groups before and after treatment, and the America National Institutes of Health Stroke Scale (NIHSS) score was used to assess the neurological functions of the two groups before and after treatment, and the recurrence of cerebral infarction in the two groups was counted within 6 months after treatment. In addition, the patients in the treatment group were divided into the cerebral infarction recurrence group and the cerebral infarction non-recurrence group according to whether they had cerebral infarction recurrence within 6 months after treatment, and the clinical data of the patients in the treatment group were collected to analyze the influencing factors of the dual-enhancement antiplatelet therapy for the recurrence of cerebral infarction in patients with cerebral infarction after cerebral vascular intervention by multifactorial logistic regression. The results showed that after treatment, patients in the treatment group had an international normalized ratio (INR) of (1.76±0.38), a platelet activation rate of (39.52±4.79)%, a platelet aggregation rate of (48.54±5.21)%, a tumor necrosis factor-alpha (TNF-alpha) of (28.37±4.47)ng/L, an interleukin 6 (IL-6) of (24.77±3.52)ng/L, a high-sensitivity C-reactive protein (hs-CRP) of (7.39±1.53)mg/L and an NIHSS score of (6.11±1.39) were lower than those of the control group (2.32±0.41), (44.81±6.37)%, (51.39±5.58)%, (39.66±4.51) ng/L, (29.25±4.04) ng/L, (9.03±1.78) mg/L and (9.93±1.46) points (all P<0.05). At 6-month follow-up of all patients, cerebral infarction recurred in 16 (15.38%) patients in the treatment group and in 33 (33.67%) patients in the control group (χ2=9.185, P<0.05). Kaplan-Meier results showed a statistically significant difference in the rate of recurrence without cerebral infarction in the treatment group compared with the control group(LogRank χ2=4.595,P<0.05). Logistic regression analysis showed that smoking history, cervical vascular plaque, post-treatment NIHSS score, post-treatment stenosis score, post-treatment INR, post-treatment hs-CRP and CYP2C19 gene polymorphism were independent influences on the recurrence of cerebral infarction in cerebral infarction patients with cerebral vascular interventions followed by doublet augmentation of antiplatelet therapy (all P<0.05). In conclusion, dual-enhanced antiplatelet therapy may be an effective measure to reduce the risk of cerebral infarction recurrence after cerebrovascular intervention in patients with cerebral infarction, but it is still influenced by more factors.

Implementing pharmacogenetic testing to optimize proton-pump inhibitors use among Indian population based on CPIC-CYP2C19-PPI dosing guidelines: The need of the hour.

Proton-pump inhibitors (PPIs) are widely prescribed to decrease stomach acid and treat various acid-related Gastrointestinal tract (GIT) diseases. However, genetic variations, particularly in the CYP2C19 gene, affect PPIs metabolism and efficacy. Variants in CYP2C19 can result in different rates of PPI metabolism, influencing their effectiveness. Personalized medicine strategies, such as genotyping for CYP2C19, have the potential to enhance the effectiveness of PPI therapy and patient safety. This review aims to describe the relevance of CYP2C19 genetic profiling in the indian population, including normal function (e.g. CYP2C19*1, *11, *13, *15, *18, *28, and 38), decreased function (e.g., CYP2C19*9, *10, *16, *19, *25, and 26), loss of function (e.g., CYP2C19*2, *3, *4, *5, *6, *7, *8, *22, *24, *35, *36, and *37), and increased function (e.g., CYP2C19*17) variants. This review also examines the clinical pharmacogenomics implementation consortium (CPIC)-CYP2C19-PPI guidelines to highlight the importance of pharmacogenomics (PGx)-informed personalized PPI therapy for gastroesophageal reflux disease and peptic ulcer disease treatment. On average, each person in India possesses eight pharmacogenetic (PGx) variants that can be clinically significant, underscoring the need for preemptive testing. Implementing CYP2C19 genetic testing in India requires expanding laboratory capacity, increasing accessibility in primary care, increasing public awareness, collaboration between pharmacovigilance and PGx programs, investing in advanced sequencing technologies, data management systems, and integration with electronic health records and clinical decision support systems. Addressing challenges such as genetic diversity, socioeconomic factors, health-care access issues, and shortage of trained professionals is essential for implementation. Due to the lack of definitive country-specific policies and PGx guidelines from Indian drug regulatory agencies, guidelines from international consortia such as the Clinical Pharmacogenetics Implementation Consortium and drug labeling offer crucial foundational evidence. This evidence can be used to enhance patient outcomes and ensure the safe and effective use of PPIs in India.

The Influence of Genetic Polymorphisms on Warfarin Dosage Requirements in Cardiac Valve Surgery Patients

Aim: Warfarin, a widely prescribed anticoagulant, exhibits considerable variability in patient response, making its clinical use challenging due to a narrow therapeutic window. This study aimed to evaluate the prevalence of CYP2C9 and VKORC1 gene polymorphisms in a cohort of 87 Turkish patients who underwent cardiac valve surgery and received warfarin therapy, as well as to assess their impact on warfarin dosage requirements. Methods: The frequencies of CYP2C9 and VKORC1 polymorphisms were analyzed, and patients were stratified based on the presence or absence of mutations affecting warfarin dosing. Results: Revealed that patients carrying at least one CYP2C9 or VKORC1 polymorphism required a significantly lower weekly warfarin dose to achieve the optimal international normalized ratio (INR). Conclusion: This study highlights the critical role of genetic factors in determining warfarin dosage and supports the integration of pharmacogenetic testing into clinical practice to personalize warfarin therapy. Such an approach has the potential to enhance treatment outcomes and minimize the risk of adverse events. Further research involving larger sample sizes and diverse patient populations is warranted to validate these findings and refine the current understanding of the genetic determinants of warfarin dosing.

Efficacy of combined antihypertensive therapy in patients with type 2 diabetes mellitus and non-alcoholic fatty liver disease with various polymorphisms of the CYP2C9 gene

Background. The difficulty of achieving target blood pressure (BP) levels in patients with arterial hypertension (AH) is often due to their type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD). In turn, taking into account the individual genetic characteristics of the body helps to personalize treatment and make it more effective. Aim. To compare the antihypertensive efficacy of a fixed combination of amlodipine and olmesartan medoxomil (Aml/Ol-M) in patients with hypertension and T2DM, with and without NAFLD, depending on the polymorphism of the CYP2C9 gene. Materials and methods. The study included 139 patients with uncontrolled hypertension and concomitant T2DM; after diagnosis of NAFLD, they were randomized into 2 groups: without NAFLD (group 1, n=70), with NAFLD (group 2, n = 69). After discontinuation of previous ineffective antihypertensive therapy, they were prescribed a combination of Aml/Ol-M in doses of 5-10/20-40 mg/day. At baseline, 4, 8, 12 and 24 weeks, their office BP levels were determined; Also, at the initial visit and after 24 weeks of treatment, the main indicators of 24-hour blood pressure monitoring (ABPM) were measured. Patients who did not reach the blood pressure target within 12 weeks of therapy were excluded from the study. Those who continued to participate in the amplifierThe Rotor Gene-Q allele discrimination method revealed the following distribution of polymorphic variants of the CYP2C9 gene: *1/*1 was found in 52 and 47, *1/*2 – in 6 and 5, *1/*3 – in 5 and 6 subjects, for groups 1 and 2, respectively. Results. The initial levels of office BP values were significantly higher in patients of group 2 and amounted to 153,5 mm Hg for systolic and 93 mm Hg for diastolic blood pressure, compared with 145 mm Hg and 88 mm Hg those included in group 1. After 12 weeks of therapy, the achievement of target blood pressure was registered in 63 (90 %) patients of group 1 and in 58 (84,1 %) of group 2. After 24 weeks of observation, in both groups a beneficial effect of the studied combination of drugs on all indicators of ABPM was noted, but a more pronounced improvement was noted in patients with NAFLD. Along with this, significant improvements in daily blood pressure profiles were registered in both groups 1 and 2: an increase in the number of patients with the “dipper” profile and a decrease in the number of patients with the pathological “non-dipper” profile. The antihypertensive effectiveness of Aml/Ol-M has been demonstrated for all isolated allelic variants of the CYP2C9 gene. Conclusions. A 24-week study with the use of Aml/Ol-M demonstrated a high incidence of achieving office BP target values in patients with hypertension and T2DM, with and without NAFLD. However, a more pronounced decrease in ABPM levels was found in patients with NAFLD. Carriage of any of the identified polymorphic gene variantsCYP2C9 had no effect on the clinical effects of the studied combination.

Explore the mechanism of Astragalus membranaceus and Poria cocos drug pair in improving immunity based on network pharmacology.

The aim of this study was to investigate the key targets and molecular mechanisms of the drug pair Astragalus membranaceus and Poria cocos (HFDP) in the treatment of immunity. We utilized network pharmacology, molecular docking, and immune infiltration techniques in conjunction with data from the GEO database. Previous clinical studies have shown that HFDP has a positive impact on immune function. We first identified the active ingredients and targets of HFDP from the Traditional Chinese Medicine Systems Pharmacology database and the Swiss Target Prediction database, respectively. Next, we retrieved the differentially expressed genes (DEGs) related to immunity from the GEO databases. The intersection targets of the drugs and diseases were then analyzed using the STRING database for protein-protein interaction (PPI) network analysis, and the core targets were determined through topological analysis. Finally, the intersection genes were further analyzed using the DAVID database for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes analyses. Subsequently, by analyzing the expression and prognostic survival of 12 core targets, 5 core target genes were identified, and molecular docking between the hub genes and immunity was performed. Finally, we used the CIBERSORT algorithm to analyze the immune infiltration of immunity genes In this study, 34 effective ingredients of HFDP, 530 target genes, and 568 differential genes were identified. GO and KEGG analysis showed that the intersection genes of HFDP targets and immunity-related genes were mainly related to complement and coagulation cascades, cytokine receptors, and retinol metabolism pathways. The molecular docking results showed that the 5 core genes had obvious affinity for the active ingredients of HFDP, which could be used as potential targets to improve the immunity of HFDP. Our findings suggest that HFDP is characterized by "multiple components, multiple targets, and multiple pathways" in regulating immunity. It may play an essential role in regulating immunity by regulating the expression and polymorphism of the central target genes ESR1, JUN, CYP3A4, CYP2C9, and SERPINE1.