Adverse Drug Reactions: Type A (Intrinsic) or Type B (Idiosyncratic)

GeoDILI: A Robust and Interpretable Model for Drug-Induced Liver Injury Prediction Using Graph Neural Network-Based Molecular Geometric Representation

Drug-induced liver injury (DILI) is a significant cause of drug failure and withdrawal due to liver damage. Accurate prediction of hepatotoxic compounds is crucial for safe drug development. Several DILI prediction models have been published, but they are built on different data sets, making it difficult to compare model performance. Moreover, most existing models are based on molecular fingerprints or descriptors, neglecting molecular geometric properties and lacking interpretability. To address these limitations, we developed GeoDILI, an interpretable graph neural network that uses a molecular geometric representation. First, we utilized a geometry-based pretrained molecular representation and optimized it on the DILI data set to improve predictive performance. Second, we leveraged gradient information to obtain high-precision atomic-level weights and deduce the dominant substructure. We benchmarked GeoDILI against recently published DILI prediction models, as well as popular GNN models and fingerprint-based machine learning models using the same data set, showing superior predictive performance of our proposed model. We applied the interpretable method in the DILI data set and derived seven precise and mechanistically elucidated structural alerts. Overall, GeoDILI provides a promising approach for accurate and interpretable DILI prediction with potential applications in drug discovery and safety assessment. The data and source code are available at GitHub repository (https://github.com/CSU-QJY/GeoDILI).

[DRESS syndrome induced by anti-TB drugs]

OBJETIVE

To describe the phenotype of DRESS syndrome induced by antituberculosis drugs.

METHODS

Descriptive study, withdrawn from the review of the records of patients with DRESS syndrome, identified in the interconsultation of the Department of Research in Immunogenetics and Allergy, of the Insti-tuto Nacional de Enfermedades Respiratorias (INER) Ismael Cosío Villegas, among 2014 and 2020. Frequency analysis was performed. The associations between biomarkers and latency are calculated with the χ2 test and log-rank, and the evaluation of the change in the biomarkers with the Wilcoxon test. The value of p < 0.05 is considered statistically significant. For data analysis, the SPSS v.21 program was obtained.

RESULTS

15 patients were identified; represented by 0.02% of total cases treated in the Department for so-meimmuno-allergic condition (15/7052); the main symptomatology were: rash (100%), eosinophilia (93%), fe-ver (80%), adenomegaly (60%), kidney damage (40%), liver damage (33%), and latency of 21 days. Liver damage was associated with prolonged latency (p = 0.02). After treatment, the total levels of eosinophils (p < 0.001) and liver and kidney biomarkers (p < 0.04) decreased. DRESS syndrome induced by antituberculosis drugs is not associated with the number of drugs prescribed or with the pattern of resistance of Mycobacterium tuberculosis.

CONCLUSIONS

DRESS syndrome induced by antituberculosis drugs is an atypical clinical reaction, similar to other types of DRESS syndrome that respond favorably to systemic corticosteroids.

Evaluation of the Effects of Atorvastatin and N-Acetyl Cysteine on Platelet Counts in Patients with Primary Immune Thrombocytopenia: An Exploratory Clinical Trial

Objective: We aimed to evaluate the efficacy of the combination of atorvastatin and N-acetyl cysteine in increasing platelet counts in patients with immune thrombocytopenia who were resistant to steroid therapy or had a relapse after treatment. Material and Methods: The patients included in this study received oral treatment of atorvastatin at a dose of 40 mg daily and N-acetyl cysteine at a dose of 400 mg every 8 h. The desired treatment duration was 12 months, but we included patients who completed at least 1 month of treatment in the analysis. The platelet counts were measured prior to the administration of the study treatment and in the first, third, sixth, and twelfth months of treatment (if available). A p value < 0.05 was considered statistically significant. Results: We included 15 patients who met our inclusion criteria. For the total treatment duration, the global response was 60% (nine patients); eight patients (53.3%) had a complete response and one patient (6.7%) had a partial response. Six patients (40%) were considered as having undergone treatment failure. Of the responder group, five patients maintained a complete response after treatment (55.5%), three patients maintained a partial response (33.3%), and one patient (11.1%) lost their response to the treatment. All of the patients in the responder group had significant increases in their platelet counts after treatment (p < 0.05). Conclusion: This study provides evidence of a possible treatment option for patients with primary immune thrombocytopenia. However, further studies are needed.

Preclinical evaluation of chemically reactive metabolites and mitigation of bioactivation in drug discovery

The formation of reactive metabolites (RMs) is thought to be one of the pathogeneses for some idiosyncratic adverse drug reactions (IADRs) which are considered one of the leading causes of some drug attritions and/or recalls. Minimizing or eliminating the formation of RMs via chemical modification is a useful tactic to reduce the risk of IADRs and time-dependent inhibition (TDI) of cytochrome P450 enzymes (CYPs). The RMs should be carefully handled before making a go-no-go decision. Herein, we highlight the role of RMs in the occurrence of IADRs and CYP TDI, the risk of structural alerts, the approaches of RM assessment at the discovery stage and strategies to minimize or eliminate RM liability. Finally, some considerations for developing a RM-positive drug candidate are suggested.

Prevention, diagnostic evaluation, management and prognostic implications of liver disease in critically ill patients with COVID-19

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, broke out in December 2019 in Wuhan city of China and spread rapidly worldwide. Therefore, by March 2020, the World Health Organization declared the disease a global pandemic. Apart from the respiratory system, various other organs of the human body are also seriously affected by the virus. Liver injury in patients with a severe form of COVID-19 is estimated to be 14.8%-53.0%. Elevated levels of total bilirubin, aspartate aminotransferase and alanine aminotransferase and low levels of serum albumin and prealbumin are the main laboratory findings. Patients with pre-existing chronic liver disease and cirrhosis are much more prone to develop severe liver injury. This literature review presented the recent scientific findings regarding the pathophysiological mechanisms responsible for liver injury in critically ill patients with COVID-19, the various interactions between drugs used to treat the disease and the function of the liver and the specific tests providing the possibility of early diagnosis of severe liver injury in these patients. Moreover, it highlighted the burden that COVID-19 put on health systems worldwide and its effect on transplant programs and the care provided to critically ill patients in general and particularly to those with chronic liver disease.

İlaç alerjisi olan hastalarda otoantikor sıklığı

Giriş: Bu çalışma, ilaç alerjisi olan hastalarda otoantikor sıklığını incelemeyi amaçlamaktadır. İlaç alerjisi üzerine gözlemsel araştırmalar, otoimmünite patofizyolojisi hakkında yeni hipotezlerin oluşturulmasına katkıda bulunabilir.Yöntem: Eğitim ve Araştırma Hastanesi veri tabanına 31 Aralık 2018 sonuna kadar kayıt olan ve ilaç alerjisi tanısı konan hastaların verileri geriye dönük olarak değerlendirildi. Genel olarak, ICD 10'a göre “ilaçlara alerji durumu” tanısı konan ve en az bir otoantikor sonucu olan 617 adet yetişkin hasta çalışmaya dahil edildi.Bulgular: Araştırmada en az bir otoantikora sahip olma sıklığı % 0 ile % 92,1 arasında değişti. En sık saptanan otoantikor romatoid faktör (RF) idi (n = 241; % 92,1). İkinci en sık rastlanan oto antikorun anti-doku transglütaminaz IgA (Anti-tTG-IgA) (n = 22; % 68,2) olduğu görüldü. Anti-tiroglobulin (Anti-TG), anti-tiroid peroksidaz (anti-TPO) ve anti-çift sarmallı DNA (Anti-dsDNA) sıklıkları sırasıyla % 65,2 (n = 155), % 59,7 (n = 159) ve % 43,6 (n = 55) olarak saptandı.Sonuç: Birçok ilaç, otoimmün hastalıkları için ilerleme olmaksızın otoantikor gelişimini tetikleyebilir. İlaçlara alerjisi olan hastalarda otoantikorlardan şüphelenilmesi gereklidir. İlaç alerjisi üzerine yapılan gözlemsel araştırmalar, otoimmünitenin patofizyolojisi hakkında yeni hipotezlerin oluşturulmasına katkı sağlayacaktır. Bu alanda yapılacak çok sayıda çalışma, riskli ilaçların yaygın kullanımını daha objektif bir şekilde tartışmamızı sağlayabilir. Çalışmamızın ilaç reaksiyonu ile otoimmün hastalıklar arasındaki ilişkiye ışık tutacağını düşünüyoruz.Anahtar kelimeler: Otoantikorlar, otoimmünite, ilaç alerjisi, ilaç aşırı duyarlılığı

Molecular mechanisms of hepatotoxic cholestasis by clavulanic acid: Role of NRF2 and FXR pathways

Treatment of β-lactamase positive bacterial infections with a combination of amoxicillin (AMOX) and clavulanic acid (CLAV) causes idiosyncratic drug-induced liver injury (iDILI) in a relevant number of patients, often with features of intrahepatic cholestasis. This study aims to determine serum bile acid (BA) levels in amoxicillin/clavulanate (A+C)-iDILI patients and to investigate the mechanism of cholestasis by A+C in human in vitro hepatic models. In six A+C-iDILI patients, significant elevations of serum primary conjugated BA definitely demonstrated A+C-induced cholestasis. In cultured human Upcyte hepatocytes and HepG2 cells, CLAV was more cytotoxic than AMOX, and, at subcytotoxic concentrations, it altered the expression of more than 1,300 genes. CLAV, but not AMOX, downregulated the expression of key genes for BA transport (BSEP, NTCP, OSTα and MDR2) and synthesis (CYP7A1 and CYP8B1). CLAV also caused early oxidative stress, with reduced GSH/GSSG ratio, along with induction of antioxidant nuclear factor erythroid 2-related factor 2 (NRF2) target genes. Activation of NRF2 by sulforaphane also resulted in downregulation of NTCP, OSTα, ABCG5, CYP7A1 and CYP8B1. CLAV also inhibited the BA-sensor farnesoid X receptor (FXR), in agreement with the downregulation of FXR targets BSEP, OSTα and ABCG5. We conclude that CLAV, the culprit molecule in A+C, downregulates several key biliary transporters by modulating NRF2 and FXR signaling, thus likely promoting intrahepatic cholestasis. On top of that, increased ROS production and GSH depletion may aggravate the cholestatic injury by A+C.

Analysis of the clinical characteristics of acute arthritis induced by clopidogrel

WHAT IS KNOWN AND OBJECTIVE

Knowledge regarding the association between clopidogrel exposure and acute arthritis is based mainly on case reports. The purpose of this article was to assess the clinical characteristics of clopidogrel-induced acute arthritis.

METHODS

We collected literature from 1998 to 2020 in Chinese and English on acute arthritis induced by clopidogrel for retrospective analysis.

RESULTS AND DISCUSSION

The median age of 21 patients (6 females and 15 males) was 63 years (range 34-77). The median time of symptom onset was 10 days (range 0.21-21) overall. The median onset time of symptoms of clopidogrel-induced arthritis was 14 days (range 3-21) and 3 days (range 0.21-7) in patients with and without a loading dose of clopidogrel, respectively. Arthralgias (100%), joint swelling (61.9%), fever (57.1%), rash (33.3%) and pruritus (28.6%) were the most common accompanying symptoms. Most cases were accompanied by different degrees of acute inflammation markers: the median ESR was 68 mm/h (range 10-120), and the median CRP was 142.4 mg/L (range 2.3-408). X-ray films were unremarkable. Symptoms disappeared completely in all patients at a median time of 4 days (range 0.17-30) after the discontinuation of clopidogrel. Prasugrel, ticagrelor and ticlopidine can be used as safe alternatives to clopidogrel in patients with clopidogrel-induced acute arthritis with no recurrence of arthritis.

WHAT IS NEW AND CONCLUSION

Clopidogrel-induced arthritis is a rare adverse reaction and should be suspected in patients with arthralgia and fever during clopidogrel use.

Recent Progress in Fluorescent Sensors for Drug-Induced Liver Injury Assessment

Drug-induced liver injury (DILI) is a persistent concern in drug discovery and clinical medicine. The current clinical methods to assay DILI by analyzing the enzymes in serum are still not optimal. Recent studies showed that fluorescent sensors would be efficient tools for detecting the concentration and distribution of DILI indicators with high sensitivity and specificity, in real-time, in situ, and with low damage to biosamples, as well as diagnosing DILI. This review focuses on the assessment of DILI, introduces the current mechanisms of DILI, and summarizes the design strategies of fluorescent sensors for DILI indicators, including ions, small molecules, and related enzymes. Some challenges for developing DILI diagnostic fluorescent sensors are put forward. We believe that these design strategies and challenges to evaluate DILI will inspire chemists and give them opportunities to further develop other fluorescent sensors for accurate diagnoses and therapies for other diseases.

Bone marrow, blood, and clinical findings in dogs treated with phenobarbital

BACKGROUND

Cytopenias have been reported in dogs treated with phenobarbital, but detailed descriptions of bone marrow findings and response to treatment are lacking.

OBJECTIVES

We aimed to characterize the hematologic findings and clinical outcomes of dogs that had been receiving phenobarbital at the time of marrow evaluation.

METHODS

Archived bone marrow slides and clinicopathologic data were reviewed in dogs undergoing marrow evaluation for any hematologic problems that developed while receiving phenobarbital (2008-2020). Dogs were excluded if marrow samples lacked diagnostic value, phenobarbital was withdrawn >1 day before marrow collection, a same-day complete blood count (CBC) was lacking, or dogs had concurrent illness or therapy known to cause cytopenias.

RESULTS

Thirteen dogs met inclusion criteria: eight pancytopenic, three anemic/thrombocytopenic, one neutropenic/thrombocytopenic, and one nearly neutropenic. Neutropenia was marked (<700/µL) in eight dogs; all neutrophil concentrations were low or low-normal. Of the 11 anemic dogs (Hct = 12%-42%, median = 29%), three had mild reticulocytosis (eight were tested). One dog had erythroid dysplasia in blood and marrow. All nine neutropenic dogs had evidence of ineffective neutropoiesis: neutrophilic hyperplasia with left shift (9) ± neutrophagocytosis (5). Eight of the 11 anemic dogs had evidence of ineffective erythropoiesis: erythroid hyperplasia (7), left shift (3), and/or rubriphagocytosis (6). No thrombocytopenic dog had megakaryocytic hypoplasia; seven dogs had megakaryocytic hyperplasia. One anemic/thrombocytopenic dog had marked collagen myelofibrosis. The noncytopenic dog had equivocal myeloid hypoplasia with neutrophagocytosis. Median maximal responses and resolution times for neutropenia (n = 6) were 14 days.

CONCLUSIONS

Phenobarbital-induced cytopenias should be considered in dogs with multilineage ineffective hematopoiesis, particularly when neutropenia and myeloid hyperplasia are present. However, findings in dogs with immune-mediated neutropenia or precursor-targeted immune-mediated anemia might be indistinguishable.

Honest nutraceuticals, cosmetics, therapies, and foods (NCTFs): standardization and safety of natural products

With the increasing demand for natural products by the consumer in the marketplace it is necessary to see a proportional increase in behind-the-scenes science to ensure that the ideology of safety and honesty, that is justifiably expected by the wider public, is adequately satisfied. It is of essence to have a fair yet firm governance of nutraceuticals, cosmetics, therapies, and foods. However, with increasing sophistications in adulteration and "claim" loopholes that make it easier for adulterated or counterfeited natural products to be "fudged" to meet the pharmacopeia standards, governance protocols must utilize an "identification and authentication" approach that goes beyond the Pharmacopeia standards to help regulate and transparently communicate natural products in the commercial context. While it is becoming a rat race in keeping commercial natural products honest, modern technology can support authenticators and adequately defeat these challenges.

A 3D microfluidic liver model for high throughput compound toxicity screening in the OrganoPlate®

We report the development, automation and validation of a 3D, microfluidic liver-on-a-chip for high throughput hepatotoxicity screening, the OrganoPlate LiverTox™. The model is comprised of aggregates of induced pluripotent stem cell (iPSC)-derived hepatocytes (iHep) seeded in an extracellular matrix in the organ channel and co-cultured with endothelial cells and THP-1 monoblasts differentiated to macrophages seeded in the vascular channel of the 96 well Mimetas OrganoPlate 2-lane. A key component of high throughput screening is automation and we report a protocol to seed, dose, collect and replenish media and add assay reagents in the OrganoPlate 2-lane using a standard laboratory liquid handling robot. A combination of secretome measurements and image-based analysis was used to demonstrate stable 15 day cell viability, albumin and urea secretion. Over the same time-period, CYP3A4 activity increased and alpha-fetoprotein secretion decreased suggesting further maturation of the iHeps. Troglitazone, a clinical hepatotoxin, was chosen as a control compound for validation studies. Albumin, urea, hepatocyte nuclear size and viability staining provided Robust Z'factors > 0.2 in plates treated 72 h with 180 μM troglitazone compared with a vehicle control. The viability assay provided the most robust statistic for a Robust Z' factor = 0.6. A small library of 159 compounds with known liver effects was added to the OrganoPlate LiverTox model for 72 h at 50 μM and the Toxicological Prioritization scores were calculated. A follow up dose-response evaluation of select hits revealed the albumin assay to be the most sensitive in calculating TC₅₀ values. This platform provides a robust, novel model which can be used for high throughput hepatotoxicity screening.

A Novel MicroRNA Signature for Cholestatic Drugs in Human Hepatocytes and Its Translation into Novel Circulating Biomarkers for Drug-Induced Liver Injury Patients

Drug-induced liver injury (DILI) diagnosis and classification (hepatocellular, cholestatic, and mixed) relies on traditional clinical biomarkers (eg ALT and ALP), despite limitations such as extrahepatic interferences, narrow dynamic ranges, and low mechanistic value. microRNAs may be very useful for complementing traditional DILI biomarkers but most studies in this direction have considered only paracetamol poisoning. Thus the value of microRNAs (miRNAs) as biomarkers for idiosyncratic DILI has not yet been demonstrated. In this study, we first examined the effect of model cholestatic drugs on the human hepatocyte miRNome by RNAseq and RT-qPCR. Results demonstrated that chlorpromazine, cyclosporin A, and ANIT induced (miR-21-3p, -21-5p, -22-3p, -27a-5p, -1260b, -34a-5p, and -98-5p) and repressed (-122-5p, -192-5p, -30c-5p, -424-5p, and -16-5p) specific miRNAs in sandwich-cultured upcyte hepatocytes. However, no common signature was found for cholestatic drugs. Next we investigated the levels of these miRNA in human serum and found that most were also significantly altered in cholestatic/mixed DILI patients upon hospital/ambulatory admission. However, miR-122-5p, -192-5p, -34a-5p, and -22-3p demonstrated a much more significant induction in patients with hepatocellular DILI, thus revealing better specificity for hepatocellular damage. Time-course analyses demonstrated that -1260b and -146 had a very similar profile to ALP, but with wider dynamic ranges, while -16-5p and -451a showed a negative correlation. Conversely, -122-5p and -192-5p correlated with ALT but with wider dynamic ranges and faster recoveries. Finally, the 122/451a and 122/16 ratios showed excellent prediction performances in both the study [area under the receiver operating characteristic curve (AUROC) >0.93] and the validation cohort (AUROC > 0.82), and can, therefore, be postulated for the first time as circulating miRNA biomarkers for idiosyncratic DILI.

Genome-wide Study Identifies Association between HLA-B∗55:01 and Self-Reported Penicillin Allergy

Hypersensitivity reactions to drugs are often unpredictable and can be life threatening, underscoring a need for understanding their underlying mechanisms and risk factors. The extent to which germline genetic variation influences the risk of commonly reported drug allergies such as penicillin allergy remains largely unknown. We extracted data from the electronic health records of more than 600,000 participants from the UK, Estonian, and Vanderbilt University Medical Center's BioVU biobanks to study the role of genetic variation in the occurrence of self-reported penicillin hypersensitivity reactions. We used imputed SNP to HLA typing data from these cohorts to further fine map the human leukocyte antigen (HLA) association and replicated our results in 23andMe's research cohort involving a total of 1.12 million individuals. Genome-wide meta-analysis of penicillin allergy revealed two loci, including one located in the HLA region on chromosome 6. This signal was further fine-mapped to the HLA-B∗55:01 allele (OR 1.41 95% CI 1.33-1.49, p value 2.04 × 10-31) and confirmed by independent replication in 23andMe's research cohort (OR 1.30 95% CI 1.25-1.34, p value 1.00 × 10-47). The lead SNP was also associated with lower lymphocyte counts and in silico follow-up suggests a potential effect on T-lymphocytes at HLA-B∗55:01. We also observed a significant hit in PTPN22 and the GWAS results correlated with the genetics of rheumatoid arthritis and psoriasis. We present robust evidence for the role of an allele of the major histocompatibility complex (MHC) I gene HLA-B in the occurrence of penicillin allergy.

Chemical probes for drug-induced liver injury imaging

Drug-induced liver injury (DILI) has been a long-standing concern of modern medicine, and the single most frequent reason for drug nonapprovals and postapproval restrictions or withdrawals. Chemical probes for early diagnosis of DILI has triggered a tremendous interest in the field of molecular imaging. In this review, we make a brief summary of the recently developed chemical probes and their applications in DILI imaging with special attention to the design of chemical probes, mechanism of their actions and their performances in DILI imaging.

Genetic Diversity of HLA Class I and Class II Alleles in Thai Populations: Contribution to Genotype-Guided Therapeutics

Human leukocyte antigen (HLA) class I and II are known to have association with severe cutaneous adverse reactions (SCARs) when exposing to certain drug treatment. Due to genetic differences at population level, drug hypersensitivity reactions are varied, and thus common pharmacogenetics markers for one country might be different from another country, for instance, HLA-A*31:01 is associated with carbamazepine (CBZ)-induced SCARs in European and Japanese while HLA-B*15:02 is associated with CBZ-induced Stevens–Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) among Taiwanese and Southeast Asian. Such differences pose a major challenge to prevent drug hypersensitivity when pharmacogenetics cannot be ubiquitously and efficiently translated into clinic. Therefore, a population-wide study of the distribution of HLA-pharmacogenetics markers is needed. This work presents a study of Thai HLA alleles on both HLA class I and II genes from 470 unrelated Thai individuals by means of polymerase chain reaction sequence-specific oligonucleotide (PCR-SSO) in which oligonucleotide probes along the stretches of HLA-A, -B, -C, -DRB1, -DQA1, and -DQB1 genes were genotyped. These 470 individuals were selected according to their regional locations, which were from North, Northeast, South, Central, and a capital city, Bangkok. Top ranked HLA alleles in Thai population include HLA-A*11:01 (26.06%), -B*46:01 (14.04%), -C* 01:02 (17.13%), -DRB1*12:02 (15.32%), -DQA1*01:01 (24.89%), and -DQB1*05:02 (21.28%). The results revealed that the distribution of HLA-pharmacogenetics alleles from the South had more HLA-B75 family that a typical HLA-B*15:02 pharmacogenetics test for SJS/TEN screening would not cover. Besides the view across the nation, when compared HLA alleles from Thai population with HLA alleles from both European and Asian countries, the distribution landscape of HLA-associated drug hypersensitivity across many countries could be observed. Consequently, this pharmacogenetics database offers a comprehensive view of pharmacogenetics marker distribution in Thailand that could be used as a reference for other Southeast Asian countries to validate the feasibility of their future pharmacogenetics deployment.

Adverse drug reactions in primary care: a scoping review

BACKGROUND

Medication-related adverse events, or adverse drug reactions (ADRs) are harmful events caused by medication. ADRs could have profound effects on the patients' quality of life, as well as creating an increased burden on the healthcare system. ADRs are one of the rising causes of morbidity and mortality internationally, and will continue to be a significant public health issue with the increased complexity in medication, to treat various diseases in an aging society. This scoping review aims to provide a detailed map of the most common adverse drug reactions experienced in primary healthcare setting, the drug classes that are most commonly associated with different levels/types of adverse drug reactions, causes of ADRs, their prevalence and consequences of experiencing ADRs.

METHODS

We systematically reviewed electronic databases Ovid MEDLINE, Embase, CINAHL Plus, Cochrane Central Register of Controlled Trials, PsycINFO and Scopus. In addition, the National Patient Safety Foundation Bibliography and the Agency for Health Care Research and Quality and Patient Safety Net Bibliography were searched. Studies published from 1990 onwards until December 7, 2018 were included as the incidence of reporting drug reactions were not prevalent before 1990. We only include studies published in English.

RESULTS

The final search yielded a total of 19 citations for inclusion published over a 15-year period that primarily focused on investigating the different types of adverse drug reactions in primary healthcare. The most causes of adverse events were related to drug related and allergies. Idiosyncratic adverse reactions were not very commonly reported. The most common adverse drug reactions reported in the studies included in this review were those that are associated with the central nervous system, gastrointestinal system and cardiovascular system. Several classes of medications were reported to be associated with adverse events.

CONCLUSION

This scoping review identified that the most causes of ADRs were drug related and due to allergies. Idiosyncratic adverse reactions were not very commonly reported in the literature. This is mainly because it is hard to predict and these reactions are not associated with drug doses or routes of administration. The most common ADRs reported in the studies included in this review were those that are associated with the central nervous system, gastrointestinal system and cardiovascular system. Several classes of medications were reported to be associated with ADRs.

Update on the Management of Nonsteroidal Anti-Inflammatory Drug Hypersensitivity

The clinical phenotypes of nonsteroidal anti-inflammatory drug (NSAID) hypersensitivity are heterogeneous with various presentations including time of symptom onset, organ involvements, and underlying pathophysiology. Having a correct diagnosis can be challenging. Understanding their respective mechanisms as well as developing a comprehensive classification and diagnostic algorithm are pivotal for appropriate management strategy. Treatment modalities are based on the subtypes and severity of hypersensitivity reactions. Insights into the phenotypes and endotypes of hypersensitivity reactions enable personalized management in patients with suboptimal control of disease. This review updated the recent evidence of pathophysiology, classification, diagnostic algorithm, and management of NSAID hypersensitivity reactions.

Drug-drug interaction of acetaminophen and roxithromycin with the cocktail of cytochrome P450 and hepatotoxicity in rats

Acetaminophen (APAP) and roxithromycin (ROX) are often used in combination in clinical practice. To evaluate their drug-drug interactions (DDIs) and the hepatotoxicity of co-administration, rats were randomly separated into four groups: Control, APAP (50 mg/kg), ROX (5.5 mg/kg) and APAP-ROX (50 mg/kg and 5.5 mg/kg, respectively). The pharmacokinetic parameters between APAP and ROX were assayed by HPLC, and a cocktail method was used to evaluate the activities of cytochrome (CYP) 450. The liver microsome CYP2E1 protein was detected using Western blot. The levels of plasma parameters, mRNA levels of inflammatory factors (TNF-α, INF-γ, VCAM-1, CXCL-1 and STAT-3) and antioxidant factors (Nrf-2, GSTA, GCLC-1, HO-1 and NQO1) were determined using real-time PCR, along with the observation on histopathological changes in the liver tissue. APAP and ROX co-treatment significantly increased CYP2E1 activity, decreased CYP2D6 activity and prolonged APAP and ROX clearance. Co-treatment increased mRNA expressions of TNF-α, NQO1 and MDA while decreasing GPX and SOD levels. Histopathological evidence showed the changes of liver tissues in terms of structure, size and tight arrangement. This study confirmed that a combination of APAP and ROX inhibited APAP metabolism and that the peak concentration of ROX was delayed. The resulting high level of CYP2E1 may induce oxidative stress and cause liver damage.

Predictivity/Translatability of Toxicities Observed in Nonclinical Toxicology Studies to Clinical Safety Outcomes in Drug Development: Case Examples

Nonclinical toxicology studies are conducted to characterize the potential toxicities and establish a safe starting dose for new drugs in clinical studies, but the question remains as to how predictable/translatable the nonclinical safety findings are to humans. In many cases, there is good concordance between nonclinical species and patients. However, there are cases for which there is a lack of predictivity or translatability that led to early termination of clinical studies due to unanticipated toxicities or early termination of programs before making it to the clinic due to unacceptable nonclinical toxicities assumed to be translatable. A few case examples of safety findings that are translatable versus safety findings that are not translatable and why they are not translateable were presented as a symposium at the 38th Annual Meeting of the American College of Toxicology in Palm Springs, California, and are discussed in this article.

Development of a mortality score to assess risk of adverse drug reactions among hospitalized patients with moderate to severe chronic kidney disease

BACKGROUND

Chronic kidney disease (CKD) is a significant health burden that increases the risk of adverse events. Currently, there is no validated models to predict risk of mortality among CKD patients experienced adverse drug reactions (ADRs) during hospitalization. This study aimed to develop a mortality risk prediction model among hospitalized CKD patients whom experienced ADRs.

METHODS

Patients data with CKD stages 3-5 admitted at various wards were included in the model development. The data collected included demographic characteristics, comorbid conditions, laboratory tests and types of medicines taken. Sequential series of logistic regression models using mortality as the dependent variable were developed. Bootstrapping method was used to evaluate the model's internal validation. Variables odd ratio (OR) of the best model were used to calculate the predictive capacity of the risk scores using the area under the curve (AUC).

RESULTS

The best prediction model included comorbidities heart disease, dyslipidaemia and electrolyte imbalance; psychotic agents; creatinine kinase; number of total medication use; and conservative management (Hosmer and Lemeshow test =0.643). Model performance was relatively modest (R square = 0.399) and AUC which determines the risk score's ability to predict mortality associated with ADRs was 0.789 (95% CI, 0.700-0.878). Creatinine kinase, followed by psychotic agents and electrolyte disorder, was most strongly associated with mortality after ADRs during hospitalization. This model correctly predicts 71.4% of all mortality pertaining to ADRs (sensitivity) and with specificity of 77.3%.

CONCLUSION

Mortality prediction model among hospitalized stages 3 to 5 CKD patients experienced ADR was developed in this study. This prediction model adds new knowledge to the healthcare system despite its modest performance coupled with its high sensitivity and specificity. This tool is clinically useful and effective in identifying potential CKD patients at high risk of ADR-related mortality during hospitalization using routinely performed clinical data.

Asking the Right Questions With Animal Models: Methionine- and Choline-Deficient Model in Predicting Adverse Drug Reactions in Human NASH

In the past few decades, great conceptual and technological advances have been made in the field of toxicology, but animal model-based research still remains one of the most widely used and readily available tools for furthering our current knowledge. However, animal models are not perfect in predicting all systemic toxicity in humans. Extrapolating animal data to accurately predict human toxicities remains a challenge, and researchers are obligated to question the appropriateness of their chosen animal model. This paper provides an assessment of the utility of the methionine- and choline-deficient (MCD) diet fed animal model in reflecting human nonalcoholic steatohepatitis (NASH) and the potential risks of adverse drug reactions and toxicities that are associated with the disease. As a commonly used NASH model, the MCD model fails to exhibit most metabolic abnormalities in a similar manner to the human disease. The MCD model, on the other hand, closely resembles human NASH histology and reflects signatures of drug transporter alterations in humans. Due to the nature of the MCD model, it should be avoided in studies of NASH pathogenesis, metabolic parameter evaluation, and biomarker identification. But it can be used to accurately predict altered drug disposition due to NASH-associated transporter alterations.

The Responsibility of Clinical Pharmacists for the Safety of Medication Use in Hospitalized Children: A Middle Eastern Experience

Objective:

We aimed to detect and report the frequency of occurrence of drug-related problems (DRPs) in a Middle Eastern University Children's Hospital (Isfahan, Iran) and classify them in terms of their nature and cause to clarify the responsibility of clinical pharmacists for the safe utilization of medications in hospitalized children.

Methods:

In this cross-sectional study which was carried out in Imam Hossein Children's University Hospital affiliated with Isfahan University of Medical Sciences (Isfahan, Iran) from September 2017 to May 2018, DRPs during the hospitalization of pediatric patients in three medical wards, the pediatric intensive care unit, and two neonatal intensive care units were detected and identified concurrently with the treatment process using Pharmaceutical Care Network of Europe data gathering form for DRPs v. 8.01. All cases were verified and validated in a professional focus group before documentation.

Findings:

We detected 427 DRPs in 201 out of 250 randomly included hospitalized children in which 86% of them were directly reported by the hospital's clinical pharmacist. The highest frequency of DRPs (47.3%) was observed in the age range of 1 month–2 years. Safety of treatment was the most frequently reported as the nature of the problem (43.5%), followed by effectiveness issues (36.8%). The most frequent cause of DRPs was dose selection issues (34.2%), followed by drug-type selection (25.5%), and unavailability of appropriate dosage forms (13.6%). Ninety-eight interventions were proposed by the clinical pharmacist, in which 59.2% of them were accepted.

Conclusion:

This study confirms the necessity for the active role of clinical pharmacists before, during, and after drug therapy in hospitalized pediatric patients for the safety and proper utilization of drugs in this vulnerable population.

An integrative machine learning approach for prediction of toxicity-related drug safety

Recent trends in drug development have been marked by diminishing returns caused by the escalating costs and falling rates of new drug approval. Unacceptable drug toxicity is a substantial cause of drug failure during clinical trials and the leading cause of drug withdraws after release to the market. Computational methods capable of predicting these failures can reduce the waste of resources and time devoted to the investigation of compounds that ultimately fail. We propose an original machine learning method that leverages identity of drug targets and off-targets, functional impact score computed from Gene Ontology annotations, and biological network data to predict drug toxicity. We demonstrate that our method (TargeTox) can distinguish potentially idiosyncratically toxic drugs from safe drugs and is also suitable for speculative evaluation of different target sets to support the design of optimal low-toxicity combinations.

Trends in reporting drug-associated liver injuries in Taiwan: a focus on amiodarone

Background A pharmacovigilance database of real-world adverse drug reaction (ADR) reports is helpful for characterising adverse events and identifying new signals after drug approval. Objective This study aimed to analyse trends of ADR reporting in relation to liver injury and to delineate critical factors for suspected drug-related hepatotoxicity with a focus on reports associated with amiodarone. Setting The 2000-2014 Taiwan pharmacovigilance database. Method Relevant Standardized Medical Dictionary for Regulatory Activities queries were used to identify reports associated with liver injury. Information on ADR, patient characteristics, and the verbatim pertaining to amiodarone prescriptions, liver injury, comedications, and comorbidities were extracted and evaluated. Group comparisons between Hy's Law cases and Temple's Corollary cases of suspected amiodarone-related hepatotoxicity were performed. Main outcome measure Number and nature of drug-related liver injuries, particularly those associated with amiodarone. Results Of the 98,777 ADR reports over a 15-year period, 4261 (4.3%) were related to liver injury. Sixty-eight reports contained amiodarone prescriptions, but only 49 (1.1%) were eligible for further analysis. Hepatotoxic cases associated with amiodarone mostly occurred within 1 week, exhibited a hepatocellular pattern, and were more common among elderly individuals. Among 23 discernible cases, four (17.4%) recovered fully from liver injury. The critical Hy's Law cases were associated with shorter height, lower body surface area, and higher average daily doses. Conclusion This study substantiates the importance of ADR reporting. Data pertaining to drug-associated liver injury and factors associated with suspected amiodarone-related hepatotoxicity warrants continual attention in pharmacovigilance for those at risk, especially the elderly.