Factors Influencing Plasma Concentrations of Valproic Acid in Pediatric Patients With Epilepsy and the Clinical Significance of CYP2C9 Genotypes in Personalized Valproic Acid Therapy.

BACKGROUND: The aim of this study was to investigate the factors affecting plasma valproic acid (VPA) concentration in pediatric patients with epilepsy and the clinical significance of CYP2C9 gene polymorphisms in personalized dosing using therapeutic drug monitoring and pharmacogenetic testing. METHODS: The medical records of children with epilepsy who underwent therapeutic drug monitoring at our institution between July 2022 and July 2023 and met the inclusion criteria were reviewed. Statistical analysis was performed to determine whether age, sex, blood ammonia, liver function, kidney function, and other characteristics affected the concentration-to-dose ratio of VPA (CDRV) in these patients. To investigate the effect of CYP2C9 polymorphisms on CDRV, DNA samples were collected from patients and the CYP2C9 genotypes were identified using real-time quantitative PCR. RESULTS: The mean age of 208 pediatric patients with epilepsy was 5.50 ± 3.50 years. Among these patients, 182 had the CYP2C9 *1/*1 genotype, with a mean CDRV (mcg.kg/mL.mg) of 2.64 ± 1.46, 24 had the CYP2C9 *1/*3 genotype, with a mean CDRV of 3.28 ± 1.74, and 2 had the CYP2C9 *3/*3 genotype, with a mean CDRV of 6.46 ± 3.33. There were statistical differences among these 3 genotypes ( P < 0.05). The CDRV in these patients were significantly influenced by age, aspartate aminotransferase, total bilirubin, direct bilirubin, globulin, albumin/globulin ratio, prealbumin, creatinine, and CYP2C9 polymorphisms. In addition, multivariate linear regression analysis identified total bilirubin, direct bilirubin, and CYP2C9 polymorphisms as independent risk factors for high CDRV. CONCLUSIONS: Liver problems and mutations in the CYP2C9 gene increase VPA levels. This underscores the importance of considering these factors when prescribing VPA to children with epilepsy, thereby enhancing the safety and efficacy of the therapy.

Exploring calcium channel blocker as a candidate drug for Pseudomonas aeruginosa through network pharmacology and experimental validation.

Calcium channel blocker (CCB) is known to possess antibacterial effects. We aimed to apply network pharmacology (docking and protein-protein interaction [PPI] analyses) to predict the potential targets and mechanisms of CCB against Pseudomonas aeruginosa (PA) as well as to verify the effect of these drugs. The chemical structures of three CCBs were obtained through the Drug Bank platform. The potential channel proteins, efflux pump proteins and ion channel proteins of CCB against bacteria were derived from the literature. These proteins were collected through the PDB and Uniprot platform. The binding mode of the docking complexes was simulated by the CB-Dock platform and Discovery Studio 2019 Client software. The PPI network was constructed by the String platform and Cytoscape 3.8.2 platform. GO was explained by the PANTHER platform. The pathway diagram was drawn with the Pathway Builder Tool 2.0 software. The inhibitory effect of CCB on PA was verified through antibacterial experiments. Finally, 76 proteins were obtained: the iron channel protein of PA demonstrated a good docking relationship with all three CCBs, and the optimum binding energy was approximately -9.0 kcal/mol. GO analysis (biological process [BP], cellular component [CC], and molecular function [MF]) of protein genes showed a good docking relationship (optimum binding energy <-8.0 kcal/mol). The MF annotation results indicated that the target of CCB may be present on the PA membrane protein. The ion channel protein PPI enrichment p-value was 6.65e-08, and PfeA showed the strongest correlation. The experimental results suggested that CCB could inhibit the growth of PA. CCB might be an effective and interesting antimicrobial treatment strategy as CCB can potentially inhibit the growth of PA.