Article
Biochemistry & Molecular Biology
Sandra Doss, Corinne Blessing, Katharina Haller, Georg Richter, Martin Sauer
Summary: Antibiotics are crucial in fighting bacterial infections, but some of them can cause hepatotoxicity.
CURRENT ISSUES IN MOLECULAR BIOLOGY
(2022)
Article
Pediatrics
Yu-ming Guo, Fei-lin Ge, Hai-bo Song, Peng Xiong, Jing Jing, Ming Niu, Xu Zhao, Zhao-fang Bai, Jia-bo Wang, Xiao-he Xiao
Summary: Children, especially infants, are sensitive to liver-related adverse drug reactions caused by several specific drug categories.
JOURNAL OF PEDIATRICS
(2021)
Review
Biochemistry & Molecular Biology
M. Teresa Donato, Gloria Gallego-Ferrer, Laia Tolosa
Summary: Drug-induced liver injury (DILI) is a significant problem in terms of patient health, healthcare costs, and drug development. Animal models are not reliable for predicting human DILI due to interspecies differences. Various cell models have been proposed to study hepatotoxicity and mimic long-term effects. This review evaluates existing cell models for DILI prediction, focusing on chronic hepatotoxicity and emphasizing the importance of better characterization and mechanistic studies.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biotechnology & Applied Microbiology
Bingjie Guo, Feiran Zhao, Sailong Zhang
Summary: This study investigated the function of CILP in the occurrence and development of tumors. The researchers found that CILP may influence tumors through fibroblasts and cell-cell communication. Experimental verification showed that knockdown of CILP inhibited migration and invasion of renal cell carcinoma cells.
CANCER GENE THERAPY
(2023)
Article
Neurosciences
Danielle L. Kurtin, Valentina Giunchiglia, Jakub Vohryzek, Joana Cabral, Anne C. Skeldon, Ines R. Violante
Summary: Brain stimulation is a popular tool in clinical and research settings, but its effects are variable. Computational models can help explore the effects of different stimulation parameters on brain activity. However, these models need to accurately capture the dynamics of neural populations and the underlying networks to be effective. This article focuses on the use of computational models in non-invasive brain stimulation and discusses common construction choices and limitations of these models through case studies.
Article
Pharmacology & Pharmacy
Lin Ye, Deborah K. Ngan, Tuan Xu, Zhichao Liu, Jinghua Zhao, Srilatha Sakamuru, Li Zhang, Tongan Zhao, Menghang Xia, Anton Simeonov, Ruili Huang
Summary: This study compared the predictive power of Tox21 assay data and chemical structure information in building models for drug-induced liver injury (DILI) and cardiotoxicity (DICT). Chemical structure-based models showed reasonable predictive power, while Tox21 assay data alone showed suboptimal performance. The Tox21 consortium is working on expanding coverage of biological response space to improve the prediction of in vivo toxicity.
TOXICOLOGY AND APPLIED PHARMACOLOGY
(2022)
Review
Food Science & Technology
Hyun Kil Shin, Ruili Huang, Minjun Chen
Summary: New approach methods (NAMs) using deep learning and in vitro data based on adverse outcome pathways (AOPs) have been developed to predict liver injury caused by drugs or dietary supplements. These models show enhanced predictive performance and interpretability, and have also been applied to hepatotoxicity caused by herbal products. Advancements in machine learning algorithms and expansion of in vitro databases with relevant biological knowledge have greatly improved in silico modeling for drug-induced liver injury prediction.
FOOD AND CHEMICAL TOXICOLOGY
(2023)
Article
Pharmacology & Pharmacy
Jing Li, Runbin Sun, Hui Xu, Guangji Wang
Summary: The study demonstrates that mesoporous silica nanoparticles (MSNs) have substantial effects on hepatic metabolism, with intravenous injection leading to more significant impairments compared to oral administration.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Medicine, General & Internal
Dina Halegoua-DeMarzio, Victor Navarro, Jawad Ahmad, Bharathi Avula, Huiman Barnhart, A. Sidney Barritt, Herbert L. Bonkovsky, Robert J. Fontana, Marwan S. Ghabril, Jay H. Hoofnagle, Ikhlas A. Khan, David E. Kleiner, Elizabeth Phillips, Andrew Stolz, Raj Vuppalanchi
Summary: This case series study describes the clinical, histological, and HLA associations of turmeric-associated liver injury cases in the US Drug-Induced Liver Injury Network (DILIN). Ten cases of turmeric-associated liver injury were found, predominantly in women and with a strong linkage to HLA-B*35:01. Chemical analysis confirmed the presence of turmeric in all tested products. The study suggests an increasing trend of liver injury due to turmeric in the United States.
AMERICAN JOURNAL OF MEDICINE
(2023)
Article
Biochemistry & Molecular Biology
Csilla Temesszentandrasi-Ambrus, Gabor Nagy, Annamaria Bui, Zsuzsanna Gaborik
Summary: ABCB4 is primarily found in the liver and is responsible for transporting phospholipids into bile for bile formation. Polymorphisms and deficiencies in ABCB4 have been linked to various hepatobiliary disorders, highlighting its importance in physiological function. Inhibiting ABCB4 with drugs can result in cholestasis and drug-induced liver injury (DILI), and although there are limited identified substrates and inhibitors, its similarity with ABCB1 suggests potential overlap. This study aimed to develop a cell line expressing ABCB4 to specifically investigate drug interactions and identify potential inhibitors and substrates.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Plant Sciences
Xinyu Zeng, Jiajie Jiang, Simiao Liu, Qichao Hu, Sihan Hu, Jinhao Zeng, Xiao Ma, Xiaomei Zhang
Summary: Geniposide exhibits dual pharmacological activity in liver injury, exerting potent hepatoprotective effects within a specific dose and time range, but also causing liver injury.
JOURNAL OF ETHNOPHARMACOLOGY
(2024)
Review
Gastroenterology & Hepatology
Xiaoyun Li, Jieting Tang, Yimin Mao
Summary: The epidemiology and aetiology of drug-induced liver injury (DILI) vary across different countries and populations. Antibiotics are the leading cause of DILI in Western countries, while traditional Chinese medicine is the primary cause in Eastern countries. The incidence of hepatotoxicity induced by herbal and dietary supplements is increasing globally. Although several risk factors for DILI have been described, there are no confirmed risk factors for all-cause DILI.
LIVER INTERNATIONAL
(2022)
Article
Environmental Sciences
Jiahao Huang, Xinbo Sun, Yang Wang, Jianlong Su, Guangzhe Li, Xu Wang, Yuning Yang, Yuxuan Zhang, Bangjian Li, Guanyi Zhang, Jinrong Li, Jing Du, Roopa Hebbandi Nanjundappa, Channakeshava Sokke Umeshappa, Kun Shao
Summary: As emerging pollutants, nanoplastics (NPs) pose a great threat to livestock and human health. In this study, we investigated the size-dependent toxic effects of different-sized polystyrene NPs (PS-NPs) on liver cells in vitro and in vivo. We found that ultra-small NPs (20 nm) induced the highest cytotoxicity in liver cell lines, while medium and large NPs (200 nm and 500 nm) caused significant hepatotoxicity and local immunotoxic effects in mice. The results highlight the importance of preventing the health damage associated with NPs.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Biochemistry & Molecular Biology
Zhi-Tao Ma, Zhuo Shi, Xiao-He Xiao, Jia-Bo Wang
Summary: Herbs are widely used worldwide, but inappropriate use can cause herb-induced liver injury (HILI). HILI incidents are increasing and our understanding of the underlying causes is still progressing, making it appropriate to update the current status and understanding of HILI incidents.
ANTIOXIDANTS & REDOX SIGNALING
(2023)
Article
Biology
Joaquim Aguirre-Plans, Janet Pinero, Terezinha Souza, Giulia Callegaro, Steven J. Kunnen, Ferran Sanz, Narcis Fernandez-Fuentes, Laura I. Furlong, Emre Guney, Baldo Oliva
Summary: This study developed an ensemble learning approach using various features to predict drugs that may cause DILI. Results showed that using different features individually had limitations, but combining them improved the robustness of the model. Overall, drug-target associations as a feature yielded the best accuracy in predicting DILI.