meropenem and Chemical-and-Drug-Induced-Liver-Injury

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

Fifty-four pediatric cancer patients with a total of 100 febrile neutropenic episodes treated at China Medical College Hospital were randomized to receive meropenem or ceftazidime plus amikacin from January 2001 to April 2002. The characteristics of 76 assessable febrile episodes (39 with meropenem and 37 with ceftazidime plus amikacin) were compared between the 2 groups. The success rate with unmodified therapy was not significantly different between the meropenem group (72%) and the ceftazidime-plus-amikacin group (57%). The incidence of side effects was similar between the 2 groups and these side effects were reversible. Microbiologically documented infection, clinically documented infection, and unexplained fever accounted for 35%, 37%, and 28% of episodes, respectively. The clinical response rates in subgroups of documented infection and unexplained fever did not significantly differ between the 2 treatment groups. Meropenem was significantly more effective than ceftazidime plus amikacin in children at high risks of developing severe infection who had profound neutropenia (absolute neutrophil count [ANC] < 100/mm3), prolonged neutropenia (ANC < 500/mm3 lasting for > 10 days), or clinically deteriorating shock (p=0.045). As an empirical treatment, meropenem seems to be as effective and safe as ceftazidime plus amikacin for febrile episodes in children with cancer and neutropenia. Meropenem is more effective for pediatric cancer patients at the high risk of severe infection.

Topics: Adolescent; Amikacin; Anti-Bacterial Agents; Ceftazidime; Chemical and Drug Induced Liver Injury; Child; Child, Preschool; Diarrhea; Drug Therapy, Combination; Female; Fever; Gram-Negative Bacteria; Gram-Positive Cocci; Hospitals, University; Humans; Infant; Male; Meropenem; Neoplasms; Neutropenia; Taiwan; Thienamycins; Treatment Outcome

A 63-year-old man admitted to hospital for the management of a frontal lobe abscess developed elevated liver enzymes within 48 hours of receiving meropenem. Liver enzymes reached a maximum at 5 days postadministration of meropenem, with alanine aminotransferase 1160 U/L, aspartate aminotransferase 787 U/L, alkaline phosphatase 297 U/L and gamma-glutamyltransferase 252 U/L. Meropenem was ceased and liver function normalised. Meropenem was administered for a second time later in the patient's admission and again the patient developed rapidly increasing liver enzymes, with a mixed hepatocellular/cholestatic pattern. Other possible causes of liver injury were excluded following extensive investigations, and the patient's liver enzymes continued to normalise following meropenem discontinuation. The patient was asymptomatic during the admission and was transferred to a rehabilitation facility. This case demonstrates that meropenem can cause severe liver injury and that early recognition of drug-induced liver injury is important.

Topics: Administration, Intravenous; Anti-Bacterial Agents; Brain Abscess; Chemical and Drug Induced Liver Injury; Early Diagnosis; Frontal Lobe; Humans; Liver; Liver Diseases; Male; Meropenem; Middle Aged

β-lactam antibiotics may necessitate higher than licensed drug doses to achieve therapeutic exposures in critically ill patients. Therapeutic drug monitoring can be used to guide dosing so as to maximise therapeutic effect whilst reducing the likelihood of exposure-related toxicity.. A retrospective review of critically ill patients identified those that received higher than licensed doses of either meropenem (3-6 g/day) or piperacillin-tazobactam (16 g-2 g/day) (i.e. high-dose group) guided by therapeutic drug monitoring. β-lactam-associated toxicities were compared with a patient group of similar age, sex, body mass index and admission diagnosis that received licensed doses of either antibiotic.. Mean daily doses were more than 40% higher in the high-dose groups for each antibiotic. There were no significant differences between the high-dose and licensed-dose groups in terms of hepatocellular derangement (17.9% vs. 31.8%, P=0.25 for meropenem and 17.4% vs. 16.0%, P=0.90 for piperacillin-tazobactam), cholestasis (28.0% vs. 13.6%, P=0.32 for meropenem and 13.0% vs. 4.0%, P=0.26 for piperacillin-tazobactam), need for continuous renal replacement therapy (0% vs. 9.1%, P=0.10 for meropenem and 0% vs. 8.0%, P=0.16 for piperacillin-tazobactam), seizure incidence (7.1% vs. 4.5%, P=0.70 for meropenem and nil for either piperacillin-tazobactam group), thrombocytopenia (9.1% vs. 10.7%, P=0.85 for meropenem and 4.0% vs. 4.3% for piperacillin-tazobactam), or neutropenia (4.5% vs. 3.6%, P=0.95 for meropenem and 0.0% vs. 4.3% for piperacillin-tazobactam).. Higher than licensed doses of meropenem and piperacillin-tazobactam guided by therapeutic drug monitoring were not associated with additional toxicities. Larger prospective studies are required to confirm the clinical utility of higher than licensed dosing.

Topics: Adult; Anti-Bacterial Agents; beta-Lactamase Inhibitors; Chemical and Drug Induced Liver Injury; Cholestasis; Critical Illness; Drug Monitoring; Female; Humans; Male; Meropenem; Middle Aged; Penicillanic Acid; Piperacillin; Piperacillin, Tazobactam Drug Combination; Renal Replacement Therapy; Retrospective Studies; Seizures; Thienamycins; Thrombocytopenia

The post-marketing surveillance of meropenem (Meropen®) administered over 2g/day for serious infectious diseases was conducted between August 2011 and June 2013 to evaluate safety and efficacy under actual clinical use. There were 382 and 322 evaluable cases for safety and efficacy respectively, of 399 case cards collected from 87 institutions. In safety analysis, the incidence of adverse drug reactions (ADRs) associated with use of meropenem (including abnormal laboratory findings) was 19.1% (73/382 cases), and the main ADRs were hepatic function abnormal, aspartate aminotransferase increased, alanine aminotransferase increased, liver disorder, and diarrhoea, which were similar to these observed in the post-marketing surveillances of meropenem conducted before. In efficacy analysis, the efficacy was 73.6% (237/322 cases), which is as same as 71.4% (3214/4504 cases) of post-marketing surveillance of meropenem conducted after first approval under 2 g/day for infectious diseases. These results confirmed meropenem (Meropen®) is one of the useful antimicrobial agents for serious infectious diseases.

Topics: Anti-Bacterial Agents; Chemical and Drug Induced Liver Injury; Diarrhea; Humans; Infections; Meropenem; Product Surveillance, Postmarketing; Thienamycins

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

Drug-induced liver injury is the most common cause of market withdrawal of pharmaceuticals, and thus, there is considerable need for better prediction models for DILI early in drug discovery. We present a study involving 223 marketed drugs (51% associated with clinical hepatotoxicity; 49% non-hepatotoxic) to assess the concordance of in vitro bioactivation data with clinical hepatotoxicity and have used these data to develop a decision tree to help reduce late-stage candidate attrition. Data to assess P450 metabolism-dependent inhibition (MDI) for all common drug-metabolizing P450 enzymes were generated for 179 of these compounds, GSH adduct data generated for 190 compounds, covalent binding data obtained for 53 compounds, and clinical dose data obtained for all compounds. Individual data for all 223 compounds are presented here and interrogated to determine what level of an alert to consider termination of a compound. The analysis showed that 76% of drugs with a daily dose of <100 mg were non-hepatotoxic (p < 0.0001). Drugs with a daily dose of ≥100 mg or with GSH adduct formation, marked P450 MDI, or covalent binding ≥200 pmol eq/mg protein tended to be hepatotoxic (∼ 65% in each case). Combining dose with each bioactivation assay increased this association significantly (80-100%, p < 0.0001). These analyses were then used to develop the decision tree and the tree tested using 196 of the compounds with sufficient data (49% hepatotoxic; 51% non-hepatotoxic). The results of these outcome analyses demonstrated the utility of the tree in selectively terminating hepatotoxic compounds early; 45% of the hepatotoxic compounds evaluated using the tree were recommended for termination before candidate selection, whereas only 10% of the non-hepatotoxic compounds were recommended for termination. An independent set of 10 GSK compounds with known clinical hepatotoxicity status were also assessed using the tree, with similar results.

Topics: Chemical and Drug Induced Liver Injury; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Decision Trees; Drug Evaluation, Preclinical; Drug-Related Side Effects and Adverse Reactions; Glutathione; Humans; Liver; Pharmaceutical Preparations; Protein Binding

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

Vanishing bile duct syndrome (VBDS) is a rare and potentially life-threatening disorder in which progressive destruction and disappearance of small intrahepatic bile ducts occur, with resultant cholestasis. The mechanism by which biliary epithelial cells are damaged and intrahepatic bile ducts are lost has not been fully elucidated. However, many etiologies have been reported,and several drugs have been implicated. Meropenem is a widely used, well tolerated broad-spectrum carbapenem antibiotic indicated for the treatment of intraabdominal infections, complicated skin and skin structure infections, and pediatric bacterial meningitis. We describe what we believe is the first reported case of meropenem-induced VBDS. A 60-year-old woman was diagnosed with VBDS after being treated with meropenem for a left temporal lobe brain abscess. Three weeks after starting the drug, the patient developed mixed hepatocellular and cholestatic liver injury with jaundice and pruritus.Meropenem-induced liver injury was suspected, and the drug was discontinued. Diagnostic tests ruled out other causes of cholestasis, including infectious and immunologic conditions. A liver biopsy, performed due to persistent liver injury, demonstrated an absence of bile ducts, which, in conjunction with the patient's clinical course, was consistent with the diagnosis of VBDS. Several months after the cessation of meropenem, the patient's liver function test results improved. Use of the Naranjo adverse drug reaction probability scale indicated a probable relationship (score of 6)between the patient's development of VBDS and meropenem therapy. A high index of suspicion is necessary to diagnose VBDS and other types of drug induced liver injury. Clinicians should consider VBDS as a potential diagnosis in patients receiving meropenem who have prolonged cholestasis, especially after other more probable causes have been excluded.

Topics: Anti-Bacterial Agents; Bile Duct Diseases; Bile Ducts, Intrahepatic; Chemical and Drug Induced Liver Injury; Cholestasis; Female; Humans; Jaundice; Liver; Meropenem; Middle Aged; Thienamycins