2014
DOI: 10.1007/s00204-014-1277-8
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Proposal of an in silico profiler for categorisation of repeat dose toxicity data of hair dyes

Abstract: 17This study outlines the analysis of repeat dose toxicity data taken from Scientific Committee 18 on Consumer Safety (SCCS) opinions for commonly used hair dyes in the European Union. 19Structural similarity was applied to group these chemicals into categories. Subsequent 20 mechanistic analysis suggested that toxicity to mitochondria is potentially a key driver of

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Cited by 27 publications
(21 citation statements)
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References 41 publications
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“…Interest in the application of MOAs and AOPs in predictive toxicology have already begun to appear, including the use of mode of action for aquatic toxicity prediction 36 and the application of the skin sensitization AOP to a risk assessment. 37 MIEs add a new level of understanding to MOAs and AOPs that is gaining attention as basis for work into QSAR development, 38 category formation and read-across, 39 and molecular modelling leading to mechanistic understanding. 40…”
Section: Figurementioning
confidence: 99%
“…Interest in the application of MOAs and AOPs in predictive toxicology have already begun to appear, including the use of mode of action for aquatic toxicity prediction 36 and the application of the skin sensitization AOP to a risk assessment. 37 MIEs add a new level of understanding to MOAs and AOPs that is gaining attention as basis for work into QSAR development, 38 category formation and read-across, 39 and molecular modelling leading to mechanistic understanding. 40…”
Section: Figurementioning
confidence: 99%
“…Mitochondrial function plays a critical role in the development of disease and chemical toxicity (7,8), as well as the regulation of stem cell pluripotency (9). Mitochondrial dysfunction can occur through direct damage to the respiratory chain, or through secondary mechanisms such as ER stress or lipid accumulation (10).…”
mentioning
confidence: 99%
“…Because cells can adapt to loss of mitochondrial respiration by using anaerobic pathways such as glycolysis and glutaminolysis (Fig. 1A), mitochondrial damage can often go undetected with disastrous clinical and financial consequences (8), which is a particular concern in cultured cells that show an increased reliance on glycolysis and glutaminolysis due to the Warburg effect. Thus, real-time monitoring of these metabolic fluxes could provide critical insight into the development of mitochondrial dysfunction, as well as loss and gain of mitochondrial function in development.…”
mentioning
confidence: 99%
“…As commented in the previous paragraph, the AOP framework assists in the support of biological similarity and category formation by defining MIEs and/or key intermediate events as a measure of similarity . The application of AOPs to support a mechanistic hypothesis in read‐across is an attractive hypothesis but as yet largely unproven, and how to select/validate the large numbers of in vitro HTS data to elucidate the AOP in reality is very difficult…”
Section: Open Issues and Challenges In Read‐acrossmentioning
confidence: 99%