2026-06-14T03:38:28Zhttps://repisalud.isciii.es/rest/oai/request
oai:repisalud.isciii.es:20.500.12105/171502024-01-16T12:16:25Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927
Repisalud author Robles-Díaz, Mercedes author Medina-Caliz, Inmaculada author Stephens, Camilla author Andrade, Raúl J author Lucena, M Isabel 2024-01-16T12:16:25Z 2024-01-16T12:16:25Z 2016-08-22 10.3389/fphar.2016.00267 1663-9812 Frontiers in pharmacology http://hdl.handle.net/10668/10419 27597831 http://hdl.handle.net/20.500.12105/17150 Despite being relatively rare, drug-induced liver injury (DILI) is a serious condition, both for the individual patient due to the risk of acute liver failure, and for the drug development industry and regulatory agencies due to associations with drug development attritions, black box warnings, and postmarketing withdrawals. A major limitation in DILI diagnosis and prediction is the current lack of specific biomarkers. Despite refined usage of traditional liver biomarkers in DILI, reliable disease outcome predictions are still difficult to make. These limitations have driven the growing interest in developing new more sensitive and specific DILI biomarkers, which can improve early DILI prediction, diagnosis, and course of action. Several promising DILI biomarker candidates have been discovered to date, including mechanistic-based biomarker candidates such as glutamate dehydrogenase, high-mobility group box 1 protein and keratin-18, which can also provide information on the injury mechanism of different causative agents. Furthermore, microRNAs have received much attention lately as potential non-invasive DILI biomarker candidates, in particular miR-122. Advances in "omics" technologies offer a new approach for biomarker exploration studies. The ability to screen a large number of molecules (e.g., metabolites, proteins, or DNA) simultaneously enables the identification of 'toxicity signatures,' which may be used to enhance preclinical safety assessments and disease diagnostics. Omics-based studies can also provide information on the underlying mechanisms of distinct forms of DILI that may further facilitate the identification of early diagnostic biomarkers and safer implementation of personalized medicine. In this review, we summarize recent advances in the area of DILI biomarker studies. eng diagnosis drug-induced liver injury hepatotoxicity outcome prediction Biomarkers in DILI: One More Step Forward. research article