Characterisation of the NRF2 transcriptional network and its response to chemical insult in primary human hepatocytes: implications for prediction of drug-induced liver injury.
Cells, Cultured
Chemical and Drug Induced Liver Injury
/ genetics
Gene Expression Regulation
/ drug effects
Gene Regulatory Networks
/ drug effects
Hepatocytes
/ drug effects
Humans
Isothiocyanates
/ adverse effects
Kelch-Like ECH-Associated Protein 1
/ genetics
NF-E2-Related Factor 2
/ genetics
Oligonucleotide Array Sequence Analysis
Oxidative Stress
/ drug effects
RNA, Small Interfering
Sulfoxides
DILI
KEAP1
NFE2L2
Oxidative stress
WGCNA
Journal
Archives of toxicology
ISSN: 1432-0738
Titre abrégé: Arch Toxicol
Pays: Germany
ID NLM: 0417615
Informations de publication
Date de publication:
02 2019
02 2019
Historique:
received:
20
08
2018
accepted:
08
11
2018
pubmed:
15
11
2018
medline:
19
5
2020
entrez:
15
11
2018
Statut:
ppublish
Résumé
The transcription factor NRF2, governed by its repressor KEAP1, protects cells against oxidative stress. There is interest in modelling the NRF2 response to improve the prediction of clinical toxicities such as drug-induced liver injury (DILI). However, very little is known about the makeup of the NRF2 transcriptional network and its response to chemical perturbation in primary human hepatocytes (PHH), which are often used as a translational model for investigating DILI. Here, microarray analysis identified 108 transcripts (including several putative novel NRF2-regulated genes) that were both downregulated by siRNA targeting NRF2 and upregulated by siRNA targeting KEAP1 in PHH. Applying weighted gene co-expression network analysis (WGCNA) to transcriptomic data from the Open TG-GATES toxicogenomics repository (representing PHH exposed to 158 compounds) revealed four co-expressed gene sets or 'modules' enriched for these and other NRF2-associated genes. By classifying the 158 TG-GATES compounds based on published evidence, and employing the four modules as network perturbation metrics, we found that the activation of NRF2 is a very good indicator of the intrinsic biochemical reactivity of a compound (i.e. its propensity to cause direct chemical stress), with relatively high sensitivity, specificity, accuracy and positive/negative predictive values. We also found that NRF2 activation has lower sensitivity for the prediction of clinical DILI risk, although relatively high specificity and positive predictive values indicate that false positive detection rates are likely to be low in this setting. Underpinned by our comprehensive analysis, activation of the NRF2 network is one of several mechanism-based components that can be incorporated into holistic systems toxicology models to improve mechanistic understanding and preclinical prediction of DILI in man.
Identifiants
pubmed: 30426165
doi: 10.1007/s00204-018-2354-1
pii: 10.1007/s00204-018-2354-1
pmc: PMC6373176
doi:
Substances chimiques
Isothiocyanates
0
KEAP1 protein, human
0
Kelch-Like ECH-Associated Protein 1
0
NF-E2-Related Factor 2
0
NFE2L2 protein, human
0
RNA, Small Interfering
0
Sulfoxides
0
sulforaphane
GA49J4310U
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
385-399Subventions
Organisme : Innovative Medicines Initiative
ID : 777365
Pays : International
Organisme : Medical Research Council
ID : MR/L006758/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0700654
Pays : United Kingdom
Organisme : Innovative Medicines Initiative
ID : 116030
Pays : International
Organisme : Horizon 2020
ID : 681002
Pays : International
Organisme : Wellcome Trust
ID : 094128/Z/10/Z
Pays : United Kingdom
Organisme : European Molecular Biology Organization
ID : ASTF 398-2013
Pays : International
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