Human variability in glutathione-S-transferase activities, tissue distribution and major polymorphic variants: Meta-analysis and implication for chemical risk assessment
| العنوان: | Human variability in glutathione-S-transferase activities, tissue distribution and major polymorphic variants: Meta-analysis and implication for chemical risk assessment |
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| المؤلفون: | Leonie S. Lautz, Franca M. Buratti, Emma Di Consiglio, Jean-Lou Dorne, Laura Turco, Camille Béchaux, Susanna Vichi, Emanuela Testai, K. Darney |
| المساهمون: | Istituto Superiore di Sanita [Rome], Direction de l'Evaluation des Risques (DER), Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), European Food Safety Authority (EFSA), European Food Safety Authority (EFSA) under the grant agreement no. GA/EFSA/SCER/2015/01. |
| المصدر: | Toxicology Letters Toxicology Letters, Elsevier, 2020, 337, pp.78-90. ⟨10.1016/j.toxlet.2020.11.007⟩ |
| بيانات النشر: | Elsevier BV, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | 0301 basic medicine, MESH: Bayes Theorem, [SDV]Life Sciences [q-bio], MESH: Cytosol / enzymology, Inter-individual variability, MESH: Algorithms, MESH: Toxicokinetics, Computational biology, Biology, Toxicology, Risk Assessment, Isozyme, 03 medical and health sciences, Cytosol, 0302 clinical medicine, In vivo, MESH: Polymorphism, Genetic, MESH: Risk Assessment / methods, Animals, Humans, Tissue Distribution, Tissue localizzation, MESH: Animals, Tissue distribution, MESH: Tissue Distribution, Chemical risk, Glutathione Transferase, Polymorphism, Genetic, MESH: Humans, Uncertainty, Human risk assessment, Glutathione-S-transferases, Bayes Theorem, MESH: Glutathione Transferase / metabolism, General Medicine, Toxicokinetics, Isoenzymes, Human variability, MESH: Isoenzymes / genetics, 030104 developmental biology, Glutathione S-transferase, Dynamic models, Meta-analysis, MESH: Glutathione Transferase / genetics, biology.protein, Algorithms, MESH: Uncertainty, 030217 neurology & neurosurgery |
| الوصف: | International audience; The input into the QIVIVE and Physiologically-Based kinetic and dynamic models of drug metabolising enzymes performance and their inter-individual differences significantly improve the modelling performance, supporting the development and integration of alternative approaches to animal testing. Bayesian meta-analyses allow generating and integrating statistical distributions with human in vitro metabolism data for quantitative in vitro-in vivo extrapolation. Such data are lacking on glutathione-S-transferases (GSTs). This paper reports for the first time results on the human variability of GST activities in healthy individuals, their tissue localisation and the frequencies of their major polymorphic variants by means of extensive literature search, data collection, data base creation and meta-analysis. A limited number of papers focussed on in vivo GST inter-individual differences in humans. Ex-vivo total GST activity without discriminating amongst isozymes is generally reported, resulting in a high inter-individual variability. The highest levels of cytosolic GSTs in humans are measured in the kidney, liver, adrenal glands and blood. The frequencies of GST polymorphisms for cytosolic isozymes in populations of different geographical ancestry were also presented. Bayesian meta-analyses to derive GST-related uncertainty factors provided uncertain estimates, due to the limited database. Considering the relevance of GST activities and their pivotal role in cellular adaptive response mechanisms to chemical stressors, further studies are needed to identify GST probe substrates for specific isozymes and quantify inter-individual differences. |
| تدمد: | 0378-4274 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a14e913ae7b9666de07a5327843f3774 https://doi.org/10.1016/j.toxlet.2020.11.007 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....a14e913ae7b9666de07a5327843f3774 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 03784274 |
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