2009
DOI: 10.1016/j.toxlet.2008.09.017
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Use of toxicogenomics to understand mechanisms of drug-induced hepatotoxicity during drug discovery and development

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Cited by 118 publications
(87 citation statements)
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“…Because rifampin activates the nuclear receptor and transcription factor known as pregnane-X receptor (PXR) in human hepatocytes, it was hypothesized that A-972611 inhibits rifampin PXR activation via the CYP3A4 pathways. This hypothesis was confirmed with A-972611 inhibition of PXR, with transcriptomics revealing a novel mechanism of action for this HIV protease inhibitor [9]. More specifically, the term pharmacogenomics describes the study of variations of DNA and RNA responses to drug exposure using GWAS studies or microarray technology [6,7].…”
Section: Pharmacogenomicsmentioning
confidence: 86%
“…Because rifampin activates the nuclear receptor and transcription factor known as pregnane-X receptor (PXR) in human hepatocytes, it was hypothesized that A-972611 inhibits rifampin PXR activation via the CYP3A4 pathways. This hypothesis was confirmed with A-972611 inhibition of PXR, with transcriptomics revealing a novel mechanism of action for this HIV protease inhibitor [9]. More specifically, the term pharmacogenomics describes the study of variations of DNA and RNA responses to drug exposure using GWAS studies or microarray technology [6,7].…”
Section: Pharmacogenomicsmentioning
confidence: 86%
“…A number of compounds associated with IDILI but giving negative results in animal toxicology studies have been investigated with toxicogenomics technologies in animals to identify specific gene expression signatures able to predict the risk of idiosyncratic reactions in humans [42,43]. The underlying hypothesis is that changes in gene expression relevant to the pathogenic mechanism of IDILI in humans could be detected in animals despite the lack of evidence of liver injury obtained with conventional markers.…”
Section: Use Of New Biomarkers In Animal Studiesmentioning
confidence: 99%
“…Indeed, several in vivo transcriptomics studies have reported the predictive character of this technology to detect hepatotoxicity [64][65][66][67][68][69] in human cell cultures of both primary hepatocytes and hepatic cell lines [64,70,71]. As mentioned before, these cell models have serious drawbacks regarding availability and functionality, respectively.…”
mentioning
confidence: 99%