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Improving Interpretation of New and Old Serum Biomarkers of Drug‐Induced Liver Injury Through Mechanistic Modeling
The study by Mason et al. in this issue used mechanistic modeling and simulation to address how both the dose of acetaminophen consumed and the time since ingestion can be estimated from biomarkers measured in a single serum sample in mice. Translation into the clinic would potentially be an advance...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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John Wiley and Sons Inc.
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6027730/ https://www.ncbi.nlm.nih.gov/pubmed/29700994 http://dx.doi.org/10.1002/psp4.12303 |
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author | Watkins, Paul B. |
author_facet | Watkins, Paul B. |
author_sort | Watkins, Paul B. |
collection | PubMed |
description | The study by Mason et al. in this issue used mechanistic modeling and simulation to address how both the dose of acetaminophen consumed and the time since ingestion can be estimated from biomarkers measured in a single serum sample in mice. Translation into the clinic would potentially be an advance in the treatment of acetaminophen poisoning. Importantly, this approach could transform the evaluation of liver safety in clinical trials of new drug candidates. |
format | Online Article Text |
id | pubmed-6027730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60277302018-07-06 Improving Interpretation of New and Old Serum Biomarkers of Drug‐Induced Liver Injury Through Mechanistic Modeling Watkins, Paul B. CPT Pharmacometrics Syst Pharmacol Perspectives The study by Mason et al. in this issue used mechanistic modeling and simulation to address how both the dose of acetaminophen consumed and the time since ingestion can be estimated from biomarkers measured in a single serum sample in mice. Translation into the clinic would potentially be an advance in the treatment of acetaminophen poisoning. Importantly, this approach could transform the evaluation of liver safety in clinical trials of new drug candidates. John Wiley and Sons Inc. 2018-04-26 2018-06 /pmc/articles/PMC6027730/ /pubmed/29700994 http://dx.doi.org/10.1002/psp4.12303 Text en © 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Perspectives Watkins, Paul B. Improving Interpretation of New and Old Serum Biomarkers of Drug‐Induced Liver Injury Through Mechanistic Modeling |
title | Improving Interpretation of New and Old Serum Biomarkers of Drug‐Induced Liver Injury Through Mechanistic Modeling |
title_full | Improving Interpretation of New and Old Serum Biomarkers of Drug‐Induced Liver Injury Through Mechanistic Modeling |
title_fullStr | Improving Interpretation of New and Old Serum Biomarkers of Drug‐Induced Liver Injury Through Mechanistic Modeling |
title_full_unstemmed | Improving Interpretation of New and Old Serum Biomarkers of Drug‐Induced Liver Injury Through Mechanistic Modeling |
title_short | Improving Interpretation of New and Old Serum Biomarkers of Drug‐Induced Liver Injury Through Mechanistic Modeling |
title_sort | improving interpretation of new and old serum biomarkers of drug‐induced liver injury through mechanistic modeling |
topic | Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6027730/ https://www.ncbi.nlm.nih.gov/pubmed/29700994 http://dx.doi.org/10.1002/psp4.12303 |
work_keys_str_mv | AT watkinspaulb improvinginterpretationofnewandoldserumbiomarkersofdruginducedliverinjurythroughmechanisticmodeling |