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A metabolomics cell-based approach for anticipating and investigating drug-induced liver injury

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A metabolomics cell-based approach for anticipating and investigating drug-induced liver injury

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dc.contributor.author	García Cañaveras, Juan Carlos
dc.contributor.author	Castell, José V.
dc.contributor.author	Donato Martín, María Teresa
dc.contributor.author	Lahoz Rodríguez, Agustín
dc.date.accessioned	2016-07-28T14:14:15Z
dc.date.available	2016-07-28T14:14:15Z
dc.date.issued	2016
dc.identifier.citation	García Cañaveras, Juan Carlos Castell Ripoll, José Vicente Donato Martín, María Teresa Lahoz Rodríguez, Agustín 2016 A metabolomics cell-based approach for anticipating and investigating drug-induced liver injury Scientific Reports 6 27239
dc.identifier.uri	http://hdl.handle.net/10550/54835
dc.description.abstract	In preclinical stages of drug development, anticipating potential adverse drug effects such as toxicity is an important issue for both saving resources and preventing public health risks. Current in vitro cytotoxicity tests are restricted by their predictive potential and their ability to provide mechanistic information. This study aimed to develop a metabolomic mass spectrometry-based approach for the detection and classification of drug-induced hepatotoxicity. To this end, the metabolite profiles of human derived hepatic cells (i.e., HepG2) exposed to different well-known hepatotoxic compounds acting through different mechanisms (i.e., oxidative stress, steatosis, phospholipidosis, and controls) were compared by multivariate data analysis, thus allowing us to decipher both common and mechanism-specific altered biochemical pathways. Briefly, oxidative stress damage markers were found in the three mechanisms, mainly showing altered levels of metabolites associated with glutathione and γ-glutamyl cycle. Phospholipidosis was characterized by a decreased lysophospholipids to phospholipids ratio, suggestive of phospholipid degradation inhibition. Whereas, steatosis led to impaired fatty acids β-oxidation and a subsequent increase in triacylglycerides synthesis. The characteristic metabolomic profiles were used to develop a predictive model aimed not only to discriminate between non-toxic and hepatotoxic drugs, but also to propose potential drug toxicity mechanism(s).
dc.language.iso	eng
dc.relation.ispartof	Scientific Reports, 2016, vol. 6, p. 27239
dc.subject	Bioquímica
dc.subject	Toxicologia
dc.title	A metabolomics cell-based approach for anticipating and investigating drug-induced liver injury
dc.type	journal article	es_ES
dc.date.updated	2016-07-28T14:14:16Z
dc.identifier.doi	10.1038/srep27239
dc.identifier.idgrec	113548
dc.rights.accessRights	open access	es_ES