Valproic Acid Concentrations Research Articles

The role of candidate pharmacogenetic variants in determining valproic acid efficacy, toxicity and concentrations in patients with epilepsy.

Antiseizure medications (ASM) exhibit considerable interindividual variability in terms of efficacy and adverse events. Genetic variation is thought to contribute to these differences in clinical outcomes. Specifically, the response to valproic acid (VPA), a widely used ASM, is influenced by multiple pharmacogenetic factors. However, and in contrast to other ASMs such as phenytoin and carbamazepine, there is a paucity of data on the association between VPA and various gene variants. The aim of this study was hence to evaluate the influence of candidate pharmacogenetic variants on VPA efficacy, toxicity and serum concentrations in a homogeneous cohort of patients newly diagnosed with genetic generalized epilepsies (GGE). In this prospective cohort study, demographic, clinical and treatment outcomes of GGE patients were retrieved from their medical records. Whole exome sequencing was performed in collaboration with Epi25. Gene variants associated with VPA efficacy, metabolism and toxicities were retrieved from PharmGKB. An analysis was then conducted to explore potential associations between these gene variants and VPA clinical outcomes. Of the 166 patients included, 60 (36.1%) experienced treatment failure while 106 (63.9%) achieved treatment success. After adjusting for VPA maintenance dose, carriers of the rs3892097 (CYP2D6) variant were 2.5 times more likely to experience treatment failure compared to wildtype (p = 0.026). The rs1057910 variant (CYP2C9*3) was associated with increased serum VPA concentrations (p = 0.034). Moreover, the rs1137101 variant (LEPR gene, a metabolism regulator) was significantly associated with a higher risk of weight gain (regression coefficient of 3.430 [0.674; 6.186], p = 0.015) and a higher frequency of hair loss (OR = 3.394 [1.157; 9.956], p = 0.026), while the rs4480 variant (SOD2 gene, encoding for a mitochondrial scavenging enzyme) was correlated with a lower frequency of hair loss (OR = 0.276 [0.089; 0.858], p = 0.026). These findings highlight the role of genetic factors in VPA treatment and underscore the potential for developing therapeutic strategies to enhance patient outcomes and minimize adverse effects.

EPIGENETIC MODULATION OF STEMNESS AND DIFFERENTIATION BY VALPROIC ACID IN MEDULLOBLASTOMA

Abstract AIMS Changes in epigenetic processes, including histone acetylation, are proposed as key events affecting tumor cell function and the initiation and progression of pediatric brain cancers. Valproic acid (VPA) is an antiepileptic drug that acts partially by inhibiting histone deacetylases (HDACs) and could be repurposed as an epigenetic anticancer therapy. Here, we report VPA-induced alterations in features related to stemness and differentiation in medulloblastoma (MB) cells. METHOD Human MB cells were treated with different concentrations of VPA and cell viability was measured with a trypan exclusion assay. Cell cycle was evaluated with flow cytometry. Expansion of MB cancer stem cells (CSCs) was evaluated by a neurosphere formation assay. Reverse transcriptase polymerase chain reaction (RT-qPCR) was used to analyze mRNA expression and Western Blot to analyze protein levels. H3K9 histone acetylation (H3K9ac) was measured with immunofluorescence, and chromatin Immunoprecipitation (ChIP) was used to evaluate the occupancy of gene promoter regions by H3K9ac. RESULTS VPA reduced MB cell viability and expansion of MB CSCs, induced morphological changes consistent with neuronal differentiation, and increased expression of differentiation markers tubulin beta 3 class III (TUBB3) and enolase 2 (ENO2). Expression of stemness markers SOX2 and Nestin was differentially affected by VPA in cells representative of SHH or Group 3/4 MB molecular subgroups. VPA increased H3K9ac and its occupancy of promoter regions of TP53 and CDKN1A genes. CONCLUSION Our results indicate that VPA may exert antitumor effects in MB by influencing histone acetylation, which may result in modulation of stemness and stimulation of neuronal differentiation.

Physiologically-Based Pharmacokinetic Modeling of Total and Unbound Valproic Acid to Evaluate Dosing in Children With and Without Hypoalbuminemia.

Valproic acid (VPA) demonstrates nonlinear pharmacokinetics (PK) due to a capacity-limited protein binding, which has potential implications on its total and unbound plasma concentrations, especially during hypoalbuminemia. A physiologically based pharmacokinetic (PBPK) model was developed to assess the nonlinear dose-exposure relationship of VPA with special emphasis on pediatric patients with hypoalbuminemia. A PBPK model was first developed and evaluated in adults using PK-Sim® and MoBi® (v.11) and the scaled to children 1 year and older. The capacity-limited protein binding was characterized by second-order kinetics between VPA and albumin with a 2:1 molar ratio. All drug-specific parameters were informed by literature and optimized using published PK data of VPA. PK simulations were performed in virtual populations with normal and low albumin levels. The reported concentration-time profiles of total and unbound VPA were adequately predicted by the PBPK model across the age and dose range (3-120 mg/kg). The model was able to characterize the nonlinear PK, as the concentration-dependent fraction unbound (fu) and the related dose-dependent clearance values were well predicted. Simulated steady-state trough concentrations of total VPA were less than dose-proportional and were within the therapeutic drug monitoring range of 50-100 mg/L for doses between 30 and 45 mg/kg per day in children with normal albumin concentrations. However, virtual children with hypoalbuminemia largely failed to achieve the target exposure. The PBPK model helped assess the nonlinear dose-exposure relationship of VPA and the impact of albumin concentrations on the achievement of target exposure.

Novel Chitosan-Gelatin Scaffold with Valproic Acid Augments In Vitro Osteoblast Differentiation of Mesenchymal Stem Cells.

The study aimed to develop a biodegradable scaffold incorporating valproic acid (VPA) for improved human bone marrow-derived mesenchymal stem cell (hBMSC) proliferation, differentiation, and bone mineral synthesis. A chitosan-gelatin (CH-G) scaffold was fabricated and loaded with varying concentrations of VPA (1, 3, 5 mM/L). In vitro studies assessed drug release, cell proliferation, morphology, mineralization, and gene expression. VPA was rapidly released from the scaffold, with over 90% cumulative release within seven days. Cells cultured on VPA-loaded scaffolds exhibited significantly enhanced proliferation and mineralization compared to the control. VPA treatment upregulated osteocalcin and runt-related transcription factor 2 (Runx-2) expression, key markers of osteogenic differentiation. The CH-G scaffold, particularly with 1 mM/L VPA, demonstrates excellent biocompatibility and promotes hBMSC-mediated bone regeneration. This novel approach holds promise for future applications in bone tissue engineering.

Population Pharmacokinetics and Loading Dose Optimization of Intravenous Valproic Acid in Hospitalized Thai Patients.

Our goal is to create a population pharmacokinetic (PK) model and identify the best loading dose (LD) of intravenous valproic acid for hospitalized Thai patients. Data from patients who received intravenous valproic acid and underwent measurement of serum valproic acid concentrations during hospitalization were collected retrospectively. A nonlinear mixed-effects modeling approach was conducted to estimate the PK parameters of valproic acid. Covariates affecting the PK parameters of valproic acid were examined and ranked based on their impact on the model's performance. Monte Carlo simulations of 1000 patients were conducted to estimate the optimal LD of valproic acid. A total of 120 hospitalized patients (51.7% male) with 167 valproic acid concentrations were included in the study. A linear one-compartment model with constant residual error was the best base model. An age-covariate model was the best predictor of valproic acid clearance (CL). The typical values of CL and volume of distribution for valproic acid were 0.77 L/h and 14.56 L, respectively. The LD of 1000-1200 mg intravenous was identified as the pragmatic option as an empirical regimen for hospitalized Thai patients. The recommended time to initiate maintenance dose (MD) is 4-8 h following the LD. The population PK model and optimal LD of valproic acid in hospitalized Thai patients has been established, and it may be advisable to initiate the MD at a later time for the elderly.

The Role of miR-155 and miR-122 in Valproic Acid-Induced Liver Injury

: Valproic acid (VPA) is a commonly used drug for treating epilepsy and other neurological and psychiatric disorders. Drug-induced liver injury (DILI) caused by VPA has been reported in several studies. MicroRNAs (miRNAs) are recognized as potent regulators involved in many biological processes and are currently considered promising biomarkers for detecting DILI. The aim of the present study was to evaluate the expression levels of two hepato-specific microRNAs, miR-122 and miR-155, in hepatocytes exposed to VPA. This study was conducted using HepG2 cell lines treated with different concentrations of VPA for 24, 48, 72, 96, and 120 hours. The results showed that exposure to VPA significantly elevated the transcription levels of both tested miRNAs in HepG2 cell lines after 24 hours. However, prolonged exposure down-regulated the expression levels of these miRNAs, possibly due to VPA-induced cell death. We suggest that the significant decrease in miRNA expression in treated cells is correlated with VPA-induced apoptosis, followed by enhanced cell death after 120 hours of VPA exposure. Our findings imply that miR-122 and miR-155 play an important role in valproic acid detoxification and have prognostic or therapeutic implications.

Saliva Versus Plasma Therapeutic Drug Monitoring of Valproic Acid in Jordanian Patients.

Therapeutic drug monitoring is used to ensure that medications are prescribed and administered according to safe doseage advice and for the purpose of achieving the desired therapeutic effects in patients. Several methods are used to perform therapeutic drug monitoring. However, there is insufficient evidence to currently support therapeutic drug monitoring of Valproic acid using salivary samples. The aim of this paper is to determine the feasibility of using salivary samples as a substitute for plasma samples for therapeutic drug monitoring of Valproic acid. In this study a total of 23 patients participated, with the mean age of 33.39. Salivary and plasma samples were collected and analysed to determine the peak and trough concentrations of Valproic acid for comparison between the two methods. Calibrated LC- MS/ MS was used to measure Valproic acid levels. Statistical analyses were performed using ANOVA test and ethical approval was obtained prior to sample collection. The results showed that saliva Valproic acid levels were less than that of plasma levels. There was no significant correlation between saliva and plasma level of Valproic acid (P>0.05). However, there was a significant correlation between the area under the curve for both saliva and plasma Valproic acid (P<0.05). Creatinine clearance was significantly correlated with peak plasma levels of Valproic acid (P<0.05). Albumin was significantly correlated with plasma levels of Valproic acid. There was also a significantly positive and moderate relationship between Log Saliva Cmax and Log plasma free Valproic acid concentration (r=0.76, p<0.018). In conclusion, saliva samples can be used as a substitute for plasma samples in the therapeutic drug monitoring of Valproic acid.

Development of UPLC–MS/MS method for the simultaneous quantification of valproic acid and phenytoin in human plasma and application to study pharmacokinetic interaction in epilepsy patients

Valproic acid and phenytoin are two prevalent antiepileptic medications known for their narrow indices and propensity for cardiovascular and respiratory system toxicity. Therefore, therapeutic drug monitoring (TDM) of valproic acid (VAL) and phenytoin (PHE) concentrations in patient plasma is extremely beneficial for improving clinical choices, avoiding adverse reactions, and optimizing treatment for individual patients. In this study, a rapid and sensitive ultra-performance liquid chromatographic tandem mass spectrometer (UPLC-MS/MS) method was developed and validated for the simultaneous quantitative determination of valproic acid (VAL) and phenytoin (PHE) in human plasma. Negative electron spray ionization (ESI-) mode with selective ion recording (SIR) was employed to determine the transitions of m/z 142.98 and m/z 250.93 for VAL and PHE, respectively. The internal standard (IS) betamethasone (BETA) was ionized using positive electron spray ionization (ESI+) and detected by multi-reaction monitoring (MRM) mode to obtain precursor ions and specific fragment ions for quantification, and the MRM transition was chosen to be m/z 393.17 → 355.16. The separation was performed using a Phenomenex Synergi Hydro-RP (4 μm, 250 × 4.6 mm, I.D.) with an isocratic mobile phase consisting of acetonitrile – water (75:25, v/v) at a flow rate of 0.8 mL/min. The column temperature was maintained at 25 °C. The lower limit of quantification of VAL and PHE was 3.6 μg/mL and 0.72 μg/mL, respectively, which resulted in a recovery of more than 85 % for most analytes. According to US-FDA bioanalytical technique validation, the specificity, intra- and inter-day precision and accuracy, matrix effect, carryover, dilution, and stability of all analytes were within acceptable ranges. This analytical method was successful in evaluating the levels of valproic acid and phenytoin in human plasma from epileptic patients.

Development and validation of an automatic machine learning model to predict abnormal increase of transaminase in valproic acid-treated epilepsy.

Valproic acid (VPA) is a primary medication for epilepsy, yet its hepatotoxicity consistently raises concerns among individuals. This study aims to establish an automated machine learning (autoML) model for forecasting the risk of abnormal increase of transaminase levels while undergoing VPA therapy for 1995 epilepsy patients. The study employed the two-tailed T test, Chi-square test, and binary logistic regression analysis, selecting six clinical parameters, including age, stature, leukocyte count, Total Bilirubin, oral dosage of VPA, and VPA concentration. These variables were used to build a risk prediction model using "H2O" autoML platform, achieving the best performance (AUC training = 0.855, AUC test = 0.789) in the training and testing data set. The model also exhibited robust accuracy (AUC valid = 0.742) in an external validation set, underscoring its credibility in anticipating VPA-induced transaminase abnormalities. The significance of the six variables was elucidated through importance ranking, partial dependence, and the TreeSHAP algorithm. This novel model offers enhanced versatility and explicability, rendering it suitable for clinicians seeking to refine parameter adjustments and address imbalanced data sets, thereby bolstering classification precision. To summarize, the personalized prediction model for VPA-treated epilepsy, established with an autoML model, displayed commendable predictive capability, furnishing clinicians with valuable insights for fostering pharmacovigilance.

Model-Based Bioequivalence Analysis to Assess and Predict the Relative Bioavailability of Valproic Acid Formulations.

Model-based bioequivalence (MBBE) encompasses the use of nonlinear mixed effect models supporting the estimation of pharmacokinetic endpoints to assess the relative bioavailability between multi-source drug products. This application emerges as a valuable alternative to the standard non-compartmental analysis (NCA) in bioequivalence (BE) studies in which dense sampling is not possible. In this work, we aimed to assess the application of MBBE compared to traditional methods in evaluating the relative bioavailability of two formulations with different drug release properties. Additionally, we sought to predict the performance of a modified-release formulation in a multiple-dose scenario, leveraging data from a single-dose study. MBBE analysis was implemented to estimate the BE endpoints (90%CI for the Test/Reference geometric mean ratio, T/R GMR) in area under the concentration-time curve (AUC) and maximum concentration (Cmax) using data from a single-dose, 2-period, 2-sequence BE study performed in 14 healthy subjects between a locally developed valproic acid extended-release formulation (Test) and the brand-name delayed-release formulation (Reference). Results were compared with the standard approach, revealing that MBBE analysis achieved higher discrimination between formulations for Cmax, addressing limitations of the experimental sampling design and highlighting an advantage for this model-based analysis even when rich data are available. Additionally, the bioequivalence outcome under the multiple-dose scenario was predicted through a simulation-based study for both total and unbound valproic acid concentrations, considering the impact of valproic acid saturable binding on BE conclusions. The MBBE analysis was superior to the NCA approach in detecting product-related differences, overcoming limitations in the study experimental design. Predictions for the multiple-dose scenario preclude that the extended-release properties of the Test formulation would persist at steady state, resulting in lower peak-to-trough fluctuation and bioequivalent performance in terms of the extent of drug absorption. Overall, these results should discourage unnecessary experimentation in healthy subjects.

Evaluation of CYP2C19 Genetic Variant and Its Lack of Association with Valproic Acid Plasma Concentrations Among Zhuang and Han Schizophrenia Patients in Guangxi.

To investigate the CYP2C19 genotype distribution and allelic frequency among the Zhuang and Han schizophrenic populations in Guangxi, examine the correlation between CYP2C19 genetic variants and standardized blood levels of Valproic Acid (VPA) in schizophrenic patients, and evaluate the effects of age, gender, and Body Mass Index (BMI) on standardized VPA blood concentrations. Between February and December 2022, 192 Zhuang and Han schizophrenia patients treated with VPA were studied. Steady-state VPA concentrations were determined using homogeneous enzyme immunoassays, and CYP2C19 *1, *2, and *3 loci via q-PCR. CYP2C19 genotype distributions between Zhuang and Han groups in Nanning were compared using chi-square tests and contrasted with other ethnicities. Non-parametric tests analyzed VPA variations, identifying critical factors through multivariate stepwise regression. The study identified five CYP2C19 genotypes at the *2 and *3 loci, with the *3/*3 genotype absent in both cohorts. The CYP2C19 distribution in Guangxi Zhuang and Han mirrors, yet diverges significantly from Hui and Kazakh groups. Among 192 subjects, VPA blood levels remained consistent across metabolic types and ages 18-60 but varied significantly by gender. Multivariate analysis revealed gender and BMI as significant factors, overshadowing CYP2C19 genotype and age. In Guangxi, CYP2C19 genetic variants in Zhuang and Han schizophrenia patients demonstrate statistically indistinguishable allelic and metabolic distributions. Gender and BMI can influence standardized VPA blood concentrations in schizophrenia patients. However, in our study cohort, the CYP2C19 genotype and age are not the primary determinants of standardized VPA blood levels.

Metabolic Differentiation in Manic Episode of Bipolar Disorder Compared to Substance-Induced Psychosis and Substance Use Disorder Based on Serum Valproate Level

Aim: Valproic acid (VPA) is primarily used in the treatment of epilepsy but also has uses in the treatment of manic episodes in bipolar disorder and substance use disorders. Manic episodes and psychosis may also affect hepatic clearance and drug distribution volume. The aim of this study was to assess the effect of mania and psychosis compared to substance use on VPA pharmacokinetics, specifically changes in total and unbound clearance. Material and Methods: Fifty patients with a manic episode of bipolar disorder, and 51 patients with substance use disorder, 38 of whom were considered as substance-induced psychosis, were included in this retrospective study. All patients received a constant dose of 1000 mg VPA daily for at least five days, and serum VPA concentrations were measured. Results: The mean serum levels of VPA were 59.2±17.4 μg/ml in the substance use disorder group, 60.9±13.5 μg/ml in the substance-induced psychosis group, and 61.8±13.7 μg/ml in the manic episode of bipolar disorder group. No significant difference was found between the groups (p=0.840). When considering substance use disorder and substance-induced psychosis as one group, the mean VPA level of 60.5±14.4 μg/ml in this group showed no significant difference compared to 61.8±13.7 μg/ml in the manic episode of bipolar disorder (p=0.630). Conclusion: After reaching steady-state plasma levels, no significant difference in serum VPA levels was observed between the three groups. This suggests that manic episodes do not lead to a significant increase in VPA metabolism compared to substance use disorder or substance-induced psychosis.

A Review of the Association between Infections, Seizures, and Drugs.

Seizures are a common presenting symptom of the central nervous system (CNS) and could occur from infections (such as toxins) or drugs. The aim of this study was to present a systematic review of the association between infections, seizures, and drugs. Through February 18, 2024, according to the PRISMA guidelines and based on the PICO standard format, relevant, in-depth consequent guide approach and evidence-based options were selected associated with a knowledgeable collection of current, high-quality manuscripts. Imbalance between inhibitory and excitatory neurotransmitters due to infections, drugs such as ticarcillin, amoxicillin, oxacillin, penicillin G, ampicillin, tramadol, venlafaxine, cyclosporine, tacrolimus, acyclovir, cellcept, the old generation of antiepileptic drugs, such as carbamazepine, phenytoin, and many other drugs could cause different stages of CNS disturbances ranging from seizure to encephalopathy. Infections could cause life-threatening status epilepticus by continuous unremitting seizures lasting longer than 5 minutes or recurrent seizures. Meningitis, tuberculosis, herpes simplex, cerebral toxoplasmosis, and many others could lead to status epilepticus. In fact, confusion, encephalopathy, and myoclonus were reported with drugs, such as ticarcillin, amoxicillin, oxacillin, penicillin G, ampicillin, and others. Penicillin G was reported as having the greatest epileptogenic potential. A high dose, in addition to prolonged use of metronidazole, was reported with seizure infection. Meropenem could decrease the concentration of valproic acid. Due to the inhibition of cytochrome P450 3A4, the combination of clarithromycin and erythromycin with carbamazepine needs vigilant monitoring. Due to changes in drug metabolism, co-administration of antiseizure drugs and antibiotics may lead to an enhanced risk of seizures. In patients with neurocysticercosis, cerebral malaria, viral encephalitis, bacterial meningitis, tuberculosis, and human immunodeficiency virus, the evidence-based study recommended different mechanisms mediating epileptogenic properties of toxins and drugs.

Retrospective Analysis of Steady-State Sodium Valproate Plasma Concentrations in Chinese Patients With Bipolar Disorder: Impact of Demographic and Clinical Characteristics.

This study comprehensively examined the demographic and clinical characteristics of patients undergoing valproic acid therapy and explored their potential impact on plasma valproic acid concentrations. All enrolled patients were administered the extended-release formulation. An in-depth investigation of factors, including dose, age, sex, body mass index, co-administered medications, and laboratory test findings, was conducted to evaluate their potential influence on study outcomes. In total, 164 patients met the inclusion criteria and were included in the analysis. The patient age ranged from 13 to 60 years, with a median age of 25.71 years. Most patients (89%) received a daily dose of 1 g valproic acid. Co-administered psychiatric medications included aripiprazole, quetiapine, and lorazepam. Laboratory test results, such as hemoglobin and transaminase levels, were also collected as part of the study. The average plasma valproic acid plasma concentration was 79.8 mg/L. The dose significantly affected valproic acid concentrations, as a higher percentage of measurements exceeded the therapeutic range at a daily dose of 1 g. Furthermore, females exhibited significantly higher valproic acid concentrations compared with males at the same dose ( P < 0.05). However, different age groups showed no statistically significant differences in valproic acid concentrations ( P > 0.05). The co-administered antipsychotic and antidepressant medications significantly affected valproate concentrations, as reflected in the multiple regression model ( P < 0.01). This study offers valuable insights into the demographic and clinical characteristics of patients undergoing valproic acid therapy. It highlights the influence of dose, sex, and concomitant medications on plasma valproic acid concentrations. Overall, these findings can help guide dose adjustments and implement personalized treatment strategies in valproic acid therapy.

Effect of a Declined Plasma Concentration of Valproic Acid Induced by Meropenem on the Antiepileptic Efficacy of Valproic Acid.

This study aimed to indicate whether a declined plasma concentration of valproic acid (VPA) induced by co-administration of meropenem (MEPM) could affect the antiepileptic efficacy of VPA. We retrospectively reviewed data of hospitalized patients who were diagnosed with status epilepticus or epilepsy between 2010 and 2019. Patients co-administered VPA and MEPM during hospitalization were screened and assigned to the exposure group, while those co-administerd VPA and other broad-spectrum antibiotics were allocated to the control group. The exposure group and control group included 50 and 11 patients, respectively. With a similar dosage of VPA, the plasma concentration of VPA significantly decreased during co-administration (24.6 ± 4.3 μg/mL) compared with that before co-administration (88.8 ± 13.6 μg/mL, p < 0.0001), and it was partly recovered with the termination of co-administration (39.8 ± 13.2 μg/mL, p = 0.163) in the exposure group. The inverse probability of treatment weighting estimated the treatment efficacy via changes in seizure frequency, seizure duration, and concomitant use of antiepileptic drugs, which were not significantly different between the exposure and control groups. In the exposure group, there was no significant differences in seizure frequency between the periods of before-during and before-after (p = 0.074 and 0.153, respectively). Seizure duration during VPA-MEPM co-administration was not significantly different from that before co-administration (p = 0.291). In this study, the reduced plasma concentration of VPA induced by the co-administration of MEPM did not affect the antiepileptic efficacy of VPA. This conclusion should be interpreted with caution, and more research is warranted. Chinese Clinical Trial Registry: ChiCTR2000034567. Registered on 10 July 2020.

Abstract 4590: Antitumor effects of histone deacetylase inhibitors on breast cancer cell viability and mammosphere formation

Abstract Histone deacetylases (HDACs) are overexpressed in various types of primary human cancer and have become attractive targets for cancer therapy. This study aimed to evaluate the cytotoxic properties of three HDAC inhibitors (suberoylanilide hydroxamic acid (SAHA, or Vorinostat), Valproic Acid (VPA) and CAY10603) and compare them to Paclitaxel (PTX), a chemotherapy agent used to treat Triple Negative Breast Cancers (TNBCs). In the present study, drug response in the MDA-MB-231, MDA-MB-468, and MCF-10A cell lines was evaluated by cell viability assays. Apoptosis and cell cycle distribution were analyzed by flow cytometry. Mammospheres generated from MDA-MB-231 and MDA-MB-468 breast cancer cells were also subjected to drug treatment; their response was assessed under both normoxic and hypoxic conditions. We found that SAHA and CAY10603 inhibited breast cancer cell viability without significantly affecting MCF-10A cells. SAHA, CAY10603, and VPA all arrested a significant percentage of MDA-MB-231 cells at G2/M phase after 24h compared to controls. TNBC cells experienced an increase in both early and late apoptosis following treatment with the most effective concentrations of SAHA, CAY10603, and VPA (1.8µM, 2µM, and 0.4mM, respectively). SAHA proved to be the most effective drug for induction of apoptosis compared to the control, followed by CAY10603 (8.26% and 6%, 3.67%). In both TNBCs and mammospheres under hypoxic conditions, SAHA and CAY10603 down regulated HIF-1α expression significantly, but PTX did not. In contrast, VPA and PTX down regulated CTNNB1 gene expression. This study indicates that epi-drugs exert an anti-tumor effect on TNBCs, suggesting a potential role for HDAC inhibitors as novel therapeutics for breast cancer patients. Citation Format: Golnaz Asaadi Tehrani, Becca Kubick, Meenal Datta. Antitumor effects of histone deacetylase inhibitors on breast cancer cell viability and mammosphere formation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4590.

A simple and rapid HPLC-UV method for the determination of valproic acid in human plasma using microwave-assisted derivatization with phenylhydrazine hydrochloride

This study presents an efficient high-performance liquid chromatography with ultraviolet detection (HPLC-UV) method for monitoring valproic acid (VPA) level in human plasma. This method is distinguished by its simplicity, cost-effectiveness, and rapid execution, addressing the limitations associated with other advanced analytical techniques like liquid chromatography-mass spectrometry (LC-MS), gas chromatography-mass spectrometry (GC-MS), and immunoassays, which are generally complex and costly for routine application. A challenge in analyzing VPA is its non-linear protein binding profile and the absence of a chromophore in its structure, making direct detection difficult. To overcome this, the study developed an efficient HPLC-UV for VPA determination in human plasma, utilizing a simplified and rapid microwave-assisted derivatization process. Due to the lack of a chromophore in VPA structure, this work developed a microwave-assisted derivatization of VPA using phenylhydrazine hydrochloride (PH HCl). The process optimization was achieved at 450 W for 50 s, facilitating effective HPLC-UV detection. The derivatized product was characterized using 1H nuclear magnetic resonance (NMR) and Fourier transform infrared spectrometer (FT-IR). The derivative, identified as (Z)-N-phenyl-2-propylpentanehydrazonic acid, demonstrated specificity in plasma analysis with no detectable interference. The method exhibited a linear response for VPA concentrations ranging from 30 to 150 μg/mL, with a correlation coefficient exceeding 0.99. Recovery varied between 86.7% and 107%, with a maximum coefficient of variation (CV) of 10.0%. The findings suggest that the microwave-assisted derivatization technique substantially improves the feasibility and cost-effectiveness of HPLC-UV for the analysis of VPA in plasma. This method provides a viable alternative to conventional HPLC methodologies, offering a balance of efficiency and economic practicality for VPA quantification.

Carbapenems as Antidotes for the Management of Acute Valproic Acid Poisoning.

Valproic acid (VPA) is a broad-spectrum drug primarily used in the treatment of epilepsy and bipolar disorder. It is not an uncommon occurrence for VPA to cause intoxication. The established treatment of VPA poisoning includes supportive care, multiple doses of activated charcoal, levocarnitine and hemodialysis/hemoperfusion. There is a clinically significant interaction between carbapenem antibiotics and VPA. By affecting enterohepatic recirculation, carbapenems can increase the overall VPA clearance from the blood of intoxicated patients. It is suggested that carbapenems could successfully be used as antidotes in the treatment of acute VPA poisonings. To evaluate the effectiveness of carbapenems in the treatment of patients acutely poisoned by VPA. This retrospective study included patients acutely poisoned by VPA and treated with carbapenems at the Department of Clinical Toxicology at the Military Medicinal Academy in Serbia for a two-year period. After the admission, blood concentrations of VPA kept increasing, reaching their peak at 114-724 mg/L, while the mental state of the patients continued to decline, prompting a decision to introduce carbapenems. After the introduction of carbapenems, the concentrations of the drug dropped by 46-93.59% (average 72%) followed by rapid recovery of consciousness. Ten out of eleven patients had positive outcomes, while one patient died. The most commonly observed complication in our group of patients was bronchopneumonia. The application of carbapenems for the management of acute VPA poisoning might be a useful and effective treatment option.

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

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. 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. 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. 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.

Decrease in the effectiveness of valproic acid against the background of antibacterial therapy with imipenem/cilastatin in pediatric practice: A case report

A clinical case of the co-medication of valproic acid and cilastatin/imipenem in a 17-year-old girl with generalized tonic-clonic seizures is described. As an antiepileptic therapy, the child was prescribed valproic acid, the concentration of which in the blood plasma was more than 80 µg/ml, and seizures were not observed during this therapy. At the same time, due to the developed pneumonia, the girl was imipenem/cilastatin prescribed. Co-medication of drugs led to a decrease in the concentration of valproic acid in the blood plasma less than 50 µg/ ml, relapse of epileptic seizures was noted. Correction of antiepileptic therapy with phenobarbital did not lead to the seizure control. The removal of imipenem/ cilastatin contributed to the increase in the concentration of valproic acid in blood plasma above 50 µg/ ml, which corresponds to the recommended therapeutic range. Within two weeks after discontinuation of imipenem/ cilastatin, the concentration of valproic acid reached values as close as possible to the values before the start of antibiotic therapy. The authors of the article concluded that it is necessary to conduct therapeutic drug monitoring in children receiving valproic acid and imipenem/ cilastatin (antibiotic of carbapenem group), based on the known mechanisms of pharmacokinetic interaction.