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A gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of Psoralea corylifolia Linn

Drug-induced liver injury (DILI) is one of the most common causes of a drug being withdrawn, and identifying the culprit drugs and the host factors at risk of causing DILI has become a current challenge. Recent studies have found that immune status plays a considerable role in the development of DIL...

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Autores principales: Zhang, Ming-Liang, Li, Wei-Xia, Wang, Xiao-Yan, Zhang, Hui, Wu, Ya-Li, Yang, Liu-Qing, Chen, Xiao-Fei, Zhang, Shu-Qi, Chen, Yu-Long, Feng, Ke-Ran, Tang, Jin-Fa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588485/
https://www.ncbi.nlm.nih.gov/pubmed/37867998
http://dx.doi.org/10.3389/fchem.2023.1259569
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author Zhang, Ming-Liang
Li, Wei-Xia
Wang, Xiao-Yan
Zhang, Hui
Wu, Ya-Li
Yang, Liu-Qing
Chen, Xiao-Fei
Zhang, Shu-Qi
Chen, Yu-Long
Feng, Ke-Ran
Tang, Jin-Fa
author_facet Zhang, Ming-Liang
Li, Wei-Xia
Wang, Xiao-Yan
Zhang, Hui
Wu, Ya-Li
Yang, Liu-Qing
Chen, Xiao-Fei
Zhang, Shu-Qi
Chen, Yu-Long
Feng, Ke-Ran
Tang, Jin-Fa
author_sort Zhang, Ming-Liang
collection PubMed
description Drug-induced liver injury (DILI) is one of the most common causes of a drug being withdrawn, and identifying the culprit drugs and the host factors at risk of causing DILI has become a current challenge. Recent studies have found that immune status plays a considerable role in the development of DILI. In this study, DILI-related differentially expressed genes mediated by immunoinflammatory cytokines were obtained from the Gene Expression Omnibus (GEO) database to predict the occurrence of DILI (named the DILI predictive gene set, DILI_PGS), and the predictability of the DILI_PGS was verified using the Connectivity Map (CMap) and LiverTox platforms. The results obtained DILI_PGS from the GEO database could predict 81.25% of liver injury drugs. In addition, the Coexpedia platform was used to predict the DILI_PGS-related characteristics of common host diseases and found that the DILI_PGS mainly involved immune-related diseases and tumor-related diseases. Then, animal models of immune stress (IS) and immunosuppressive (IP) were selected to simulate the immune status of the above diseases. Meanwhile, psoralen, a main component derived from Psoralea corylifolia Linn. with definite hepatotoxicity, was selected as an experimental drug with highly similar molecular fingerprints to three idiosyncratic hepatotoxic drugs (nefazodone, trovafloxacin, and nimesulide) from the same DILI_PGS dataset. The animal experiment results found a single administration of psoralen could significantly induce liver injury in IS mice, while there was no obvious liver function change in IP mice by repeatedly administering the same dose of psoralen, and the potential mechanism of psoralen-induced liver injury in IS mice may be related to regulating the expression of the TNF-related pathway. In conclusion, this study constructed the DILI_PGS with high accuracy to predict the occurrence of DILI and preliminarily identified the characteristics of host factors inducing DILI.
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spelling pubmed-105884852023-10-21 A gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of Psoralea corylifolia Linn Zhang, Ming-Liang Li, Wei-Xia Wang, Xiao-Yan Zhang, Hui Wu, Ya-Li Yang, Liu-Qing Chen, Xiao-Fei Zhang, Shu-Qi Chen, Yu-Long Feng, Ke-Ran Tang, Jin-Fa Front Chem Chemistry Drug-induced liver injury (DILI) is one of the most common causes of a drug being withdrawn, and identifying the culprit drugs and the host factors at risk of causing DILI has become a current challenge. Recent studies have found that immune status plays a considerable role in the development of DILI. In this study, DILI-related differentially expressed genes mediated by immunoinflammatory cytokines were obtained from the Gene Expression Omnibus (GEO) database to predict the occurrence of DILI (named the DILI predictive gene set, DILI_PGS), and the predictability of the DILI_PGS was verified using the Connectivity Map (CMap) and LiverTox platforms. The results obtained DILI_PGS from the GEO database could predict 81.25% of liver injury drugs. In addition, the Coexpedia platform was used to predict the DILI_PGS-related characteristics of common host diseases and found that the DILI_PGS mainly involved immune-related diseases and tumor-related diseases. Then, animal models of immune stress (IS) and immunosuppressive (IP) were selected to simulate the immune status of the above diseases. Meanwhile, psoralen, a main component derived from Psoralea corylifolia Linn. with definite hepatotoxicity, was selected as an experimental drug with highly similar molecular fingerprints to three idiosyncratic hepatotoxic drugs (nefazodone, trovafloxacin, and nimesulide) from the same DILI_PGS dataset. The animal experiment results found a single administration of psoralen could significantly induce liver injury in IS mice, while there was no obvious liver function change in IP mice by repeatedly administering the same dose of psoralen, and the potential mechanism of psoralen-induced liver injury in IS mice may be related to regulating the expression of the TNF-related pathway. In conclusion, this study constructed the DILI_PGS with high accuracy to predict the occurrence of DILI and preliminarily identified the characteristics of host factors inducing DILI. Frontiers Media S.A. 2023-10-06 /pmc/articles/PMC10588485/ /pubmed/37867998 http://dx.doi.org/10.3389/fchem.2023.1259569 Text en Copyright © 2023 Zhang, Li, Wang, Zhang, Wu, Yang, Chen, Zhang, Chen, Feng and Tang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Zhang, Ming-Liang
Li, Wei-Xia
Wang, Xiao-Yan
Zhang, Hui
Wu, Ya-Li
Yang, Liu-Qing
Chen, Xiao-Fei
Zhang, Shu-Qi
Chen, Yu-Long
Feng, Ke-Ran
Tang, Jin-Fa
A gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of Psoralea corylifolia Linn
title A gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of Psoralea corylifolia Linn
title_full A gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of Psoralea corylifolia Linn
title_fullStr A gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of Psoralea corylifolia Linn
title_full_unstemmed A gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of Psoralea corylifolia Linn
title_short A gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of Psoralea corylifolia Linn
title_sort gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of psoralea corylifolia linn
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588485/
https://www.ncbi.nlm.nih.gov/pubmed/37867998
http://dx.doi.org/10.3389/fchem.2023.1259569
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