levetiracetam and Chemical-and-Drug-Induced-Liver-Injury

Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk

Data on drug-induced liver injury (DILI) caused by newer antiseizure medications (ASMs) in the elderly are scarce and mainly come from literature case reports. We analyzed Individual Case Safety Reports (ICSRs) of DILI in elderly patients treated with newer ASMs reported to VigiBase.. Empirica™ Signal software was used to retrieve ICSRs reported to VigiBase up to 31 December 2021 and to calculate Empirical Bayesian Geometric Mean and corresponding 90% confidence intervals (EB05, EB95) for each drug-event pair. EB05 > 2,. There were 1399 ICSRs reporting 1947 events of hepatotoxicity. 56.97% of the reports were reported in females, 67.05% were serious, and 3.36% resulted in death. For one or more events of hepatotoxicity, signals were detected for lamotrigine, levetiracetam, oxcarbazepine, topiramate, and zonisamide. Age- and gender-biased reporting frequency was identified for topiramate-induced hyperammonemia, with disproportionally higher reporting frequency in ≥75-year-old male patients.. The results of our study indicate differences among newer ASMs in their potential to cause DILI in the elderly. Further studies are needed to confirm the associations identified in this study.

Topics: Aged; Anticonvulsants; Bayes Theorem; Chemical and Drug Induced Liver Injury; Drug-Related Side Effects and Adverse Reactions; Female; Humans; Levetiracetam; Male; Topiramate

Levetiracetam (LEV) has a low risk of hepatotoxicity due to low liver metabolism. Knowledge regarding the association between LEV exposure and liver injury is based mainly on case reports. The purpose of this study is to summarize the clinical features of LEV-induced liver injury.. We collected literature on liver injury induced by LEV for retrospective analysis from 1999 to April 2021 in Chinese and English.. The median age of 21 patients (13 males and 8 females) was 31 years (range 0.13-76). The median time for liver injury was 19 days (range 3-120). The clinical manifestations of patients ranged from asymptomatic elevated liver enzymes in 5 patients (23.8%) to fever, digestive system symptoms and skin rash in 16 patients (76.2%). The median values of alanine aminotransferase and aspartate aminotransferase were 773 IU/L (range 60-4800) and 667.5 IU/L (range 53-10 387), respectively. Liver biopsy demonstrated hepatocellular necrosis. The liver function returned to normal at a median time of 9 days (range 2-270) after discontinuation of LEV.. LEV-induced liver injury is a rare adverse reaction, ranging from asymptomatic elevated transaminases to fulminant liver failure. Patients receiving long-term treatment with LEV should consider monitoring liver function.

Topics: Adolescent; Adult; Aged; Alanine Transaminase; Anticonvulsants; Aspartate Aminotransferases; Biopsy; Chemical and Drug Induced Liver Injury; Child; Female; Humans; Infant; Levetiracetam; Male; Middle Aged; Retrospective Studies; Time Factors; Young Adult

Treatment with antiseizure medications (ASMs) confers a risk of drug-induced liver injury (DILI), especially for older ASMs. We sought to quantify recent reports of DILI attributed to both older and newer generation ASMs and survey newly marketed ASMs for hepatotoxicity in a large post-marketing database.. We queried over 2.6 million adverse event reports made to the FDA Adverse Event Reporting System (FAERS) database between July 1, 2018 and March 31, 2020 for DILI due to ASMs commonly used in clinical practice. Patient characteristics and outcomes were assessed. We calculated the reporting odds ratio (ROR) of DILI for each individual ASM versus all non-ASM reports.. A total of 2175 DILI cases were attributed to an ASM during the study period. 97.2% of these were designated as serious reactions, which include death, hospitalization, disability, and other life-threatening outcomes. A number of older and newer generation ASMs were associated with DILI, specifically: carbamazepine (ROR 2.92), phenobarbital (ROR 2.91), oxcarbazepine (ROR 2.58), phenytoin (ROR 2.40), valproate (ROR 2.22), lamotrigine (ROR 2.06), clobazam (ROR 1.67), levetiracetam (ROR 1.56), and diazepam (ROR 1.53). However, increased odds of DILI were not seen with zonisamide, perampanel, stiripentol, lacosamide, clonazepam, pregabalin, felbamate, eslicarbazepine, cannabidiol, topiramate, gabapentin, ethosuximide, brivaracetam, or primidone. Vigabatrin, tiagabine, and rufinamide all had zero reports of DILI.. The majority of newer generation ASMs were not significantly associated with DILI. Future studies utilizing FAERS in conjunction with other data sources will be critical for the ongoing surveillance of DILI, particularly as newly marketed ASMs continue to enter into widespread clinical use.

Topics: Anticonvulsants; Chemical and Drug Induced Liver Injury; Humans; Lamotrigine; Levetiracetam; Phenytoin; United States

Temozolomide (TMZ) is an alkylating agent used for treatment of brain neoplasms and levetiracetam (LEV) is a commonly used antiepileptic. When administered separately each medication has few negative side effects impacting the liver.. We sought to determine the risk of liver injury associated with the co-administration of TMZ and LEV.. A case-control study was performed comparing patients who received combination therapy of TMZ and LEV (group A) with matched controls (group B) who received monotherapy with one of either TMZ or LEV. We assessed patient demographics, laboratory results including presence of liver injury, and mortality.. Twenty-six patients were included in group A and 68 patients were included in group B. Both groups were similar with respect to demographics and baseline liver function tests (P>0.05). There was a significant elevation in liver enzymes in 73%, 46%, 19%, 31% and 27% of ALT, AST, ALK-P, GGT and bilirubin, respectively, in group A, as compared to elevations of 10.3%, 19%, 1.5%, 7% and 1.5%, respectively in group B (P<0.05). One patient in group A died as a result of acute liver failure while no deaths from acute liver failure occurred in group B (P=0.05). Univariate analysis identified combination therapy as a risk factor for liver injury. Multivariate regression showed that only co-treatment with TMZ and LEV was an independent risk factor for liver injury with an odds ratio of 19.1 (95 CI, 2.16-160).. Combination therapy with TMZ and LEV may precipitate acute liver injury and even death.

Topics: Adult; Aged; Anticonvulsants; Antineoplastic Agents, Alkylating; Brain Neoplasms; Case-Control Studies; Chemical and Drug Induced Liver Injury; Dacarbazine; Drug Therapy, Combination; Female; Humans; Israel; Levetiracetam; Liver Function Tests; Male; Middle Aged; Multivariate Analysis; Piracetam; Regression Analysis; Retrospective Studies; Temozolomide

The bile salt export pump (BSEP) is expressed at the canalicular domain of hepatocytes, where it serves as the primary route of elimination for monovalent bile acids (BAs) into the bile canaliculi. The most compelling evidence linking dysfunction in BA transport with liver injury in humans is found with carriers of mutations that render BSEP nonfunctional. Based on mounting evidence, there appears to be a strong association between drug-induced BSEP interference and liver injury in humans; however, causality has not been established. For this reason, drug-induced BSEP interference is best considered a susceptibility factor for liver injury as other host- or drug-related properties may contribute to the development of hepatotoxicity. To better understand the association between BSEP interference and liver injury in humans, over 600 marketed or withdrawn drugs were evaluated in BSEP expressing membrane vesicles. The example of a compound that failed during phase 1 human trials is also described, AMG 009. AMG 009 showed evidence of liver injury in humans that was not predicted by preclinical safety studies, and BSEP inhibition was implicated. For 109 of the drugs with some effect on in vitro BSEP function, clinical use, associations with hepatotoxicity, pharmacokinetic data, and other information were annotated. A steady state concentration (C(ss)) for each of these annotated drugs was estimated, and a ratio between this value and measured IC₅₀ potency values were calculated in an attempt to relate exposure to in vitro potencies. When factoring for exposure, 95% of the annotated compounds with a C(ss)/BSEP IC₅₀ ratio ≥ 0.1 were associated with some form of liver injury. We then investigated the relationship between clinical evidence of liver injury and effects to multidrug resistance-associated proteins (MRPs) believed to play a role in BA homeostasis. The effect of 600+ drugs on MRP2, MRP3, and MRP4 function was also evaluated in membrane vesicle assays. Drugs with a C(ss)/BSEP IC₅₀ ratio ≥ 0.1 and a C(ss)/MRP IC₅₀ ratio ≥ 0.1 had almost a 100% correlation with some evidence of liver injury in humans. These data suggest that integration of exposure data, and knowledge of an effect to not only BSEP but also one or more of the MRPs, is a useful tool for informing the potential for liver injury due to altered BA transport.

Topics: Animals; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Transport; Chemical and Drug Induced Liver Injury; Cluster Analysis; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Male; Multidrug Resistance-Associated Proteins; Pharmacokinetics; Rats; Rats, Sprague-Dawley; Recombinant Proteins; Risk Assessment; Risk Factors; Toxicity Tests

The human bile salt export pump (BSEP) is a membrane protein expressed on the canalicular plasma membrane domain of hepatocytes, which mediates active transport of unconjugated and conjugated bile salts from liver cells into bile. BSEP activity therefore plays an important role in bile flow. In humans, genetically inherited defects in BSEP expression or activity cause cholestatic liver injury, and many drugs that cause cholestatic drug-induced liver injury (DILI) in humans have been shown to inhibit BSEP activity in vitro and in vivo. These findings suggest that inhibition of BSEP activity by drugs could be one of the mechanisms that initiate human DILI. To gain insight into the chemical features responsible for BSEP inhibition, we have used a recently described in vitro membrane vesicle BSEP inhibition assay to quantify transporter inhibition for a set of 624 compounds. The relationship between BSEP inhibition and molecular physicochemical properties was investigated, and our results show that lipophilicity and molecular size are significantly correlated with BSEP inhibition. This data set was further used to build predictive BSEP classification models through multiple quantitative structure-activity relationship modeling approaches. The highest level of predictive accuracy was provided by a support vector machine model (accuracy = 0.87, κ = 0.74). These analyses highlight the potential value that can be gained by combining computational methods with experimental efforts in early stages of drug discovery projects to minimize the propensity of drug candidates to inhibit BSEP.

Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Bile Acids and Salts; Cell Line; Chemical and Drug Induced Liver Injury; Humans; Quantitative Structure-Activity Relationship

Levetiracetam (LEV) is an antiepileptic drug with a favorable tolerability and safety profile with little or no effect on liver function.. Here, we reported an epileptic pediatric patient who developed a significant elevation in serum alkaline phosphatase level (ALP) during LEV monotherapy. Moreover, the serum ALP level was surprisingly decreased to normal after LEV discontinuation. The Naranjo Adverse Drug Reaction Probability Scale score was 6, indicating firstly LEV was a probable cause for the increased serum ALP.. Cautious usage and concerns of the LEV-associated potential ALP elevation should be considered when levetiracetam is prescribed to epilepsy patients, especially pediatric patients.

Topics: Alkaline Phosphatase; Anticonvulsants; Biomarkers; Chemical and Drug Induced Liver Injury; Child; Female; Humans; Levetiracetam; Piracetam; Treatment Outcome

Drug-induced liver injury (DILI) is a significant concern in drug development due to the poor concordance between preclinical and clinical findings of liver toxicity. We hypothesized that the DILI types (hepatotoxic side effects) seen in the clinic can be translated into the development of predictive in silico models for use in the drug discovery phase. We identified 13 hepatotoxic side effects with high accuracy for classifying marketed drugs for their DILI potential. We then developed in silico predictive models for each of these 13 side effects, which were further combined to construct a DILI prediction system (DILIps). The DILIps yielded 60-70% prediction accuracy for three independent validation sets. To enhance the confidence for identification of drugs that cause severe DILI in humans, the "Rule of Three" was developed in DILIps by using a consensus strategy based on 13 models. This gave high positive predictive value (91%) when applied to an external dataset containing 206 drugs from three independent literature datasets. Using the DILIps, we screened all the drugs in DrugBank and investigated their DILI potential in terms of protein targets and therapeutic categories through network modeling. We demonstrated that two therapeutic categories, anti-infectives for systemic use and musculoskeletal system drugs, were enriched for DILI, which is consistent with current knowledge. We also identified protein targets and pathways that are related to drugs that cause DILI by using pathway analysis and co-occurrence text mining. While marketed drugs were the focus of this study, the DILIps has a potential as an evaluation tool to screen and prioritize new drug candidates or chemicals, such as environmental chemicals, to avoid those that might cause liver toxicity. We expect that the methodology can be also applied to other drug safety endpoints, such as renal or cardiovascular toxicity.

Topics: Animals; Anti-Infective Agents; Anti-Inflammatory Agents; Chemical and Drug Induced Liver Injury; Databases, Factual; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Models, Biological; Predictive Value of Tests

Drug-induced liver injury is one of the main causes of drug attrition. The ability to predict the liver effects of drug candidates from their chemical structures is critical to help guide experimental drug discovery projects toward safer medicines. In this study, we have compiled a data set of 951 compounds reported to produce a wide range of effects in the liver in different species, comprising humans, rodents, and nonrodents. The liver effects for this data set were obtained as assertional metadata, generated from MEDLINE abstracts using a unique combination of lexical and linguistic methods and ontological rules. We have analyzed this data set using conventional cheminformatics approaches and addressed several questions pertaining to cross-species concordance of liver effects, chemical determinants of liver effects in humans, and the prediction of whether a given compound is likely to cause a liver effect in humans. We found that the concordance of liver effects was relatively low (ca. 39-44%) between different species, raising the possibility that species specificity could depend on specific features of chemical structure. Compounds were clustered by their chemical similarity, and similar compounds were examined for the expected similarity of their species-dependent liver effect profiles. In most cases, similar profiles were observed for members of the same cluster, but some compounds appeared as outliers. The outliers were the subject of focused assertion regeneration from MEDLINE as well as other data sources. In some cases, additional biological assertions were identified, which were in line with expectations based on compounds' chemical similarities. The assertions were further converted to binary annotations of underlying chemicals (i.e., liver effect vs no liver effect), and binary quantitative structure-activity relationship (QSAR) models were generated to predict whether a compound would be expected to produce liver effects in humans. Despite the apparent heterogeneity of data, models have shown good predictive power assessed by external 5-fold cross-validation procedures. The external predictive power of binary QSAR models was further confirmed by their application to compounds that were retrieved or studied after the model was developed. To the best of our knowledge, this is the first study for chemical toxicity prediction that applied QSAR modeling and other cheminformatics techniques to observational data generated by the means of automate

Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship

Topics: Anticonvulsants; Chemical and Drug Induced Liver Injury; Humans; Levetiracetam; Male; Middle Aged; Piracetam