Challenges and Future of Drug-Induced Liver Injury Research-Laboratory Tests

Drug-Induced Liver Injury Caused by Metamizole: Identification of a Characteristic Injury Pattern

BACKGROUND AND AIMS

Drug-induced liver injury (DILI) due to metamizole has gained increasing attention. Causality assessment remains a challenge, especially in patients with co-medications. We therefore aimed to further characterise metamizole DILI cases.

METHODS

The data of patients with metamizole intake from our prospective study on acute liver injury with potential drug-related causes were analysed. Diagnosis and causality assessment were based on a thorough work-up and long-term follow-up.

RESULTS

DILI was associated with metamizole in 61 of 324 DILI patients (prevalence 18.8%). A highly characteristic clinical pattern was observed in 43 of the 61 patients, characterised by marked elevation of transaminases peaking at the time of DILI recognition and a more pronounced increase of bilirubin within the first 3 days of clinical presentation. Patients fitting this picture had higher rates of jaundice, coagulopathy, and acute liver failure, however outcomes did not differ significantly when compared to non-metamizole DILI and autoimmune hepatitis (AIH) patients. Overall, fatal adverse outcomes defined by death or liver transplantation were observed in 13.1% of metamizole DILI patients. On multivariate analysis, only aspartate aminotransferase (AST) and INR were independently associated with a fatal adverse outcome. INR, in particular, performed better than Hy's law, bilirubin, transaminases, and the model for end-stage liver disease (MELD), with a c-statistic of 0.85 (95% CI: 0.70-1.0). At a cut-off of ≥ 2.1, sensitivity and specificity for a fatal adverse outcome were 75% and 96%, respectively.

CONCLUSIONS

Metamizole DILI can present with a characteristic pattern that can help clinicians to identify metamizole as the causative agent. Outcome, however, is not associated with this clinical picture and should rather be predicted by INR at onset.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT02353455.

Is ChatGPT Ready for Public Use in Organ-Specific Drug Toxicity Research?

The growing impact of large language models (LLMs), such as ChatGPT, prompts questions about the reliability of their application in public health. We compared drug toxicity assessments by GPT-4 for liver, heart, and kidney against expert assessments using US Food and Drug Administration (FDA) drug-labeling documents. Two approaches were assessed: a 'General prompt', mimicking the conversational style used by the general public, and an 'Expert prompt' engineered to represent an approach of an expert. The Expert prompt achieved higher accuracy (64-75%) compared with the General prompt (48-72%), but the overall performance was moderate, indicating that caution is needed when using GPT-4 for public health. To improve reliability, an advanced framework,such as Retrieval Augmented Generation (RAG), might be required to leverage knowledge embedded in GPT-4.

Drug-Induced Liver Injury Associated With Emerging Cancer Therapies

Targeted therapies and immunotherapies have shown great promise as best-in-class treatments for several cancers with respect to efficacy and safety. While liver test abnormalities are rather common in patients treated with kinase inhibitors or immunotherapy, events of severe hepatotoxicity in these patients are rare in comparison with those associated with chemotherapeutics. The underlying mechanisms and risk factors for severe hepatotoxicity with novel oncology therapies are not well understood, complicating the drug-induced liver injury (DILI) risk assessment in the preclinical and clinical phases of drug development. The epidemiological and clinical characteristics, as well as mechanisms of liver toxicity, are described here to the current state of knowledge. Tools to study and assess the risk of DILI during drug development are concisely summarised, focusing on caveats thereof for novel oncology treatments. Emerging tools to optimise safety assessments and gather additional mechanistic insights into DILI are introduced. Particularly in oncology, where standard liver signals during drug development are tolerated to a marginally higher degree than in other indications due to the life-saving, life-extending and quality-of-life improvements for patients with severe or advanced cancers versus previous standard-of-care therapeutics, safety assessments must be tailored to the drug and indication. Trends in patient safety-centred drug development programmes and regulatory approval processes must continually be revisited and streamlined via obtaining an overall greater understanding of DILI and the tools available to assess mechanisms of injury, frequency, severity and prognosis.

Orosomucoid 2 upregulation mediates liver injury-induced colorectal cancer liver metastasis by promoting EMT and cell migration

The relationship between drug-induced liver injury and liver metastasis of colorectal cancer and the underlying mechanisms are not well understood. In this study, we used carbon tetrachloride to construct a classic mouse liver injury model and injected CT26 colorectal cancer cells into the mouse spleen to simulate the natural route of colorectal cancer liver metastasis. Liver injury significantly increased the number of colorectal cancer liver metastases. Transcriptome sequencing and data-independent acquisition protein quantification identified proteins that were significantly differentially expressed in injured livers, and orosomucoid (ORM) 2 was identified as a target protein for tumor liver metastasis. In vitro experiments showed that exogenous ORM2 protein increased the expression of EMT markers such as Twist, Zeb1, Vim, Snail1 and Snail2 and chemokine ligands to promote CT26 cell migration. In addition, liver-specific overexpression of the ORM2 protein in the mouse model significantly promoted tumor cell liver metastasis without inducing liver injury. Our results indicate that drug-induced liver injury can promote colorectal cancer liver metastasis and that ORM2 can promote cell migration by inducing EMT in tumor cells.

Hydrogel-Based Strategies for Liver Tissue Engineering

The liver's role in metabolism, detoxification, and immune regulation underscores the urgency of addressing liver diseases, which claim millions of lives annually. Due to donor shortages in liver transplantation, liver tissue engineering (LTE) offers a promising alternative. Hydrogels, with their biocompatibility and ability to mimic the liver's extracellular matrix (ECM), support cell survival and function in LTE. This review analyzes recent advances in hydrogel-based strategies for LTE, including decellularized liver tissue hydrogels, natural polymer-based hydrogels, and synthetic polymer-based hydrogels. These materials are ideal for in vitro cell culture and obtaining functional hepatocytes. Hydrogels' tunable properties facilitate creating artificial liver models, such as organoids, 3D bioprinting, and liver-on-a-chip technologies. These developments demonstrate hydrogels' versatility in advancing LTE's applications, including hepatotoxicity testing, liver tissue regeneration, and treating acute liver failure. This review highlights the transformative potential of hydrogels in LTE and their implications for future research and clinical practice.

Hepatocyte-Targeted Lipid Nanoparticle Delivery of HERC2 Plasmid Controls Drug-Induced Hepatotoxicity by Limiting β-Catenin-Regulated CYP2E1 Expression

Understanding the molecular mechanisms that bridge hepatic inflammation and liver injury is crucial for developing effective therapeutic strategies for drug-induced liver injury (DILI) management. HECT domain and RCC1-like domain 2 (HERC2) belongs to the large Herc family of ubiquitin E3 ligases, which are implicated in tissue development and inflammation. The observation reveals a pronounced HERC2 expression in specific hepatocyte subsets that proliferate in response to DILI in humans, prompting an investigation into the role of HERC2 in distinct DILI progression. Under the APAP challenge, liver-specific HERC2-deficient mice suffer more severe liver damage. Integrated single-cell RNA sequencing analysis unveils a negative correlation between HERC2 and CYP2E1, a vital metabolic enzyme for xenobiotics, in hepatocytes from APAP-challenged mice. Mechanistically, HERC2 interacts with β-catenin to promote its ubiquitination, thereby governing CYP2E1 transcriptional regulation. Targeted hepatic delivery of lipid nanoparticle-encapsulated HERC2-overexpressing plasmid markedly reduces liver damage caused by APAP overdose. Collectively, these findings elucidate a previously unrecognized protective role of HERC2 in protecting against acute liver injury associated with drug metabolism disorders, highlighting its potential as a therapeutic target in treating DILI.

Boronic Acid-Based Glucose Detection for Liver Three-Dimensional Cellular Models

Liver 3D cell models are regularly employed as a screening platform for predicting the metabolic safety of drugs, by monitoring the physiological responses of the spheroids, through the measurement of relevant markers of normal liver physiology, notably glucose. Measuring glucose levels within the spheroids and their surroundings provides insight into the metabolic homeostasis of liver cells and may be employed as an indication of potential drug-induced toxicity. Several ortho-aminomethyl phenylboronic acid (PDBA) glucose sensors have been developed. Most recently, Mc-CDBA ((((((2-(methoxycarbonyl)anthracene-9,10-diyl)bis(methylene)) bis(methylazanediyl))bis(methylene))bis(4-cyano-2,1-phenylene))diboronic acid) was reported. Although Mc-CDBA exhibits good water solubility and sensitivity toward glucose, its ability for intra- and extracellular glucose monitoring in spheroids has not been determined. Here, we present a set of Mc-CDBA derivatives: carboxylic (BA) and amide (BA 5)-based Mc-CDBA sensors for extra- and intracellular glucose monitoring, respectively. Both sensors exhibit superior spectroscopic features. BA 5 showed selective intracellular accumulation in liver spheroids and exhibited more than 3-fold higher basal fluorescence sensitivity compared to Mc-CDBA. These observations led to the development of an extracellular hydrogel-embedded sensor (HG-BA 21) to monitor extracellular glucose levels under persistent solution flow mimicking physiological conditions. We have therefore demonstrated that the sensors developed by our team are suitable for a variety of assays, notably with liver spheroids, and provide powerful new tools for organ-on-a-chip applications predicting drug-induced liver injury in the early stages of drug development.

Enhanced hepatotoxicity assessment through encapsulated HepG2 spheroids in gelatin hydrogel matrices: Bridging the gap from 2D to 3D culture

Conventional 2D drug screening often fails to accurately predict clinical outcomes. We present an innovative approach to improve hepatotoxicity assessment by encapsulating HepG2 spheroids in gelatin hydrogel matrices with different mechanical properties. Encapsulated spheroids exhibit sustained liver-specific functionality, enhanced expression of drug-metabolizing enzymes, and increased drug sensitivity compared to 2D cultures. The platform detects critical variations in drug response, with significant differences in IC50 values between 2D and spheroid cultures ranging from 1.3-fold to > 13-fold, particularly for acetaminophen. Furthermore, drug-metabolizing enzyme expression varies across hydrogel concentrations, suggesting a role for matrix mechanical properties in modulating hepatocyte function. This novel spheroid-hydrogel platform offers a transformative approach to hepatotoxicity assessment, providing increased sensitivity, improved prediction, and a more physiologically relevant environment. The use of such advanced in vitro models can accelerate drug development, reduce animal testing, and contribute to improved patient safety and clinical outcomes.

Hepatotoxicity of epidermal growth factor receptor - tyrosine kinase inhibitors (EGFR-TKIs)

Drug-induced liver injury (DILI) is one of the most frequently adverse reactions in clinical drug use, usually caused by drugs or herbal compounds. Compared with other populations, cancer patients are more prone to abnormal liver function due to primary or secondary liver malignant tumor, radiation-induced liver injury and other reasons, making potential adverse reactions from liver damage caused by anticancer drugs of particular concernduring clinical treatment process. In recent years, the application of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) has changed the treatment status of a series of solid malignant tumors. Unfortunately, the increasing incidence of hepatotoxicitylimits the clinical application of EGFR-TKIs. The mechanisms of liver injury caused by EGFR-TKIs were complex. Despite more than a decade of research, other than direct damage to hepatocytes caused by inhibition of cellular DNA synthesis and resulting in hepatocyte necrosis, the rest of the specific mechanisms remain unclear, and few effective solutions are available. This review focuses on the clinical feature, incidence rates and the recent advances on the discovery of mechanism of hepatotoxicity in EGFR-TKIs, as well as rechallenge and therapeutic strategies underlying hepatotoxicity of EGFR-TKIs.

[Drug-induced autoimmune-like liver injury]

Drug-induced liver injury (DILI) is a rare yet potentially life-threatening disease. Besides intrinsic DILI, which is mainly caused by paracetamol overdosing and which is dose-dependent and predictable, there is idiosyncratic DILI-an unpredictable and dose-independent injury of the liver caused by certain medications that only occurs in a minority of patients taking this drug. The reason why some patients react with DILI towards a specific drug is still unknown. However, the immune system plays a central role, which is underlined by the association of certain human leukocyte antigen (HLA) polymorphisms and DILI caused by specific drug classes. Due to the immunological processes that lead to the liver injury in DILI, there are great overlaps regarding laboratory and histological parameters between DILI and autoimmune hepatitis (AIH). Differentiating DILI and AIH can therefore be challenging, especially at the time of presentation. In addition, there are other immunologically mediated DILI phenotypes, in particular the newly defined drug-induced autoimmune-like hepatitis (DI-ALH) and liver injuries caused by checkpoint inhibitors (CPI). DI-ALH is characterized by autoimmune features and good responses towards corticosteroids, with the difference that DI-ALH mostly does not relapse after discontinuation of corticosteroids. CPI-induced liver injury has become more frequent with the rising use of those drugs and is characterized by a distinct histopathological pattern with granulomatous hepatitis and infiltration dominated by cytotoxic T cells. Similarly, the recently recognized liver injury following vaccinations also shows an autoimmune phenotype; however, in contrast to AIH, cytotoxic T cells seem to dominate the inflammatory infiltrates in the liver.

Computational models for predicting liver toxicity in the deep learning era

Drug-induced liver injury (DILI) is a severe adverse reaction caused by drugs and may result in acute liver failure and even death. Many efforts have centered on mitigating risks associated with potential DILI in humans. Among these, quantitative structure-activity relationship (QSAR) was proven to be a valuable tool for early-stage hepatotoxicity screening. Its advantages include no requirement for physical substances and rapid delivery of results. Deep learning (DL) made rapid advancements recently and has been used for developing QSAR models. This review discusses the use of DL in predicting DILI, focusing on the development of QSAR models employing extensive chemical structure datasets alongside their corresponding DILI outcomes. We undertake a comprehensive evaluation of various DL methods, comparing with those of traditional machine learning (ML) approaches, and explore the strengths and limitations of DL techniques regarding their interpretability, scalability, and generalization. Overall, our review underscores the potential of DL methodologies to enhance DILI prediction and provides insights into future avenues for developing predictive models to mitigate DILI risk in humans.

Ethyl gallate concurrent administration protects against acetaminophen-induced acute liver injury in mice: An in vivo and in silico approach

Acetaminophen (APAP) in high doses causes acute liver injury and acute liver failure. Ethyl gallate (EG) is a natural polyphenol, possessing antioxidant, anti-inflammatory, and anti-microbial properties. Therefore, in this study, we evaluated the protective role of EG against APAP-induced acute liver injury in mice. Acute liver injury was induced by a single dose of APAP (400 mg/kg., i.p.). In separate groups, EG (10 mg/kg), EG (20 mg/kg), and N-acetylcysteine (NAC; 1200 mg/kg., i.p.) were administered concurrently with APAP. The mice were sacrificed after 24 h of treatment. Liver marker enzymes of hepatotoxicity, antioxidant markers, inflammatory markers, and histopathological studies were done. APAP administration caused a significant elevation of marker enzymes of hepatotoxicity and lipid peroxidation. APAP administration also decreased enzymic and nonenzymic antioxidants. Acute APAP intoxication induced nuclear factor κ B, tumor necrosis factor-α, interleukin-1, p65, and p52 and downregulated IκB gene expressions. Our histopathological studies have confirmed the presence of centrilobular necrosis, 24 h after APAP intoxication. All the above abnormalities were significantly inhibited in groups of mice that were concurrently administered with APAP + EG and APAP + NAC. Our in silico analysis further confirms that hydroxyl groups of EG interact with the above inflammatory proteins at the 3,4,5-trihydroxybenzoic acid region. These effects of EG against APAP-induced acute liver injury could be attributed to its antioxidative, free radical scavenging, and anti-inflammatory potentials. Therefore, this study suggests that EG can be an efficient therapeutic approach to protect the liver from APAP intoxication.

Liver injury due to endothelin receptor antagonists: a real-world study based on post-marketing drug monitoring data

BACKGROUND

Liver injury is the hallmark adverse reaction of endothelin receptor antagonist (ERA). Since the first drug, bosentan has been widely used in clinical practice, hepatotoxicity has been accompanied by the history of ERA. The new ERA has been proven to have a lower liver risk but the current research findings are inconsistent. ERA-based targeted drug combinations are commonly used in the treatment of pulmonary arterial hypertension, where the risk of liver injury is difficult to estimate.

OBJECTIVES

This study aimed to compare the correlation between ERA and different ERA combination regimens with liver injury in the real world.

DESIGN

This is a retrospective study using data from the Adverse Event Reporting System (Food and Drug Administration AERS, FAERS).

METHODS

The study used proportional imbalance and Bayesian analysis to mine FAERS data from January 2004 to December 2022 to determine the association of three ERAs with liver injury and to further mine the risk of liver injury due to the combination of ERAs with other targeted drugs. In addition, we analyzed the onset time, mortality, and hospitalization rate of liver injury caused by different ERA combination regimens.

RESULTS

We screened out 3581 ERA-related liver injury events, of which bosentan (59.82%) had the largest number of cases. The patients with liver injury were mainly female (60.63%), and the age was concentrated between 61 and 75 years (26.75%). According to different signal mining methods, reporting odds ratio (ROR; 3.38, 95% confidence interval = 3.23-3.53), proportional reporting ratio (PRR; 3.22, χ2 = 37.84), Bayesian confidence propagation neural network (BCPNN; 1.68, 95% confidence interval = 1.61), multi-item gamma Poisson shrinker (MGPS; 3.21, 95% confidence interval = 3.09), bosentan had the strongest association with liver injury compared to ambrisentan and macitentan. Furthermore, bosentan + sildenafil [ROR (2.52, 95% confidence interval = 2.23-2.84), PRR (2.44, χ2 = 15.92), BCPNN (1.29, 95% confidence interval = 1.14), MGPS (2.44, 95% confidence interval = 2.21)], bosentan + epoprostenol [ROR (5.39, 95% confidence interval = 4.29-6.77), PRR (4.94, χ2 = 65.18), BCPNN (2.30, 95% confidence interval = 1.83), MGPS (4.94, 95% confidence interval = 4.08)], bosentan + iloprost [ROR (2.70, 95% confidence interval = 2.11-3.45), PRR (2.61, χ2 = 31.03), BCPNN (1.38, 95% confidence interval = 1.08), MGPS (2.61, 95% confidence interval = 2.12)] had a higher risk of liver injury caused by the three ERA combination regimens. The median time to onset of hepatotoxicity associated with all ERA combination regimens was 259 days (interquartile range: 58-716.5 days). Finally, the hospitalization rate for patients experiencing hepatotoxicity with ERA combination regimens was 47.86% and the mortality rate was 12.67%.

CONCLUSION

By mining the FAERS, we analyzed and compared the risk of liver injury related to different ERA and ERA combination regimens, and the onset time and adverse reaction outcomes of all ERA combination regimens. According to the results of the study, bosentan had the highest risk of liver injury and the combination regimens bosentan + sildenafil, bosentan + epoprostenol, and bosentan + iloprost had a stronger risk of liver injury. From the early stages of treatment, we need to regularly monitor the liver function of patients, especially for females and the elderly, and discontinue the suspected drug as soon as the liver injury occurs.

Lobular distribution of enhanced expression levels of heat shock proteins using in-situ hybridization in the mouse liver treated with a single administration of CCl4

This study was conducted to visualize the lobular distribution of enhanced mRNA expression levels of heat shock proteins (HSPs) in liver samples from carbon tetra chloride (CCl4)-treated mice using in-situ hybridization (ISH). Male BALB/c mice given a single oral administration of CCl4 were euthanized 6 hours or 1 day after the administration (6 h or 1 day). Paraffin-embedded liver samples were obtained, ISH for HSPs was conducted, as well as hematoxylin-eosin staining and immunohistochemistry (IHC). At 6 h, centrilobular hepatocellular vacuolization was observed, and increased signals for Hspa1a, Hspa1b, and Grp78, which are HSPs, were noted in the centrilobular area using ISH. At 1 day, zonal hepatocellular necrosis was observed in the centrilobular area, but mRNA signal increases for HSPs were no longer observed there. Some discrepancies between ISH and IHC for HSPs were observed, and they might be partly caused by post-transcriptional gene regulation, including the ribosome quality control mechanisms. It is known that CCl4 damages centrilobular hepatocytes through metabolization by cytochrome P450, mainly located in the centrilobular region, and HSPs are induced under cellular stress. Therefore, our ISH results visualized increased mRNA expression levels of HSPs in the centrilobular hepatocytes of mice 6 hours after a single administration of CCl4 as a response to cellular stress, and it disappeared 1 day after the treatment when remarkable necrosis was observed there.