Systems Toxicology Approach to Identifying Paracetamol Overdose
| Autor: | Sotiris K. Tasoulis, Joseph Leedale, Daniel J. Antoine, Ian H. Jarman, Steven D. Webb, Chantelle L. Mason |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Liver injury Systems toxicology business.industry digestive oral and skin physiology Poison control medicine.disease Bioinformatics Paracetamol overdose 3. Good health Acetaminophen 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Pharmacokinetics Modeling and Simulation Pharmacodynamics Toxicity medicine 030211 gastroenterology & hepatology Pharmacology (medical) business medicine.drug |
| Zdroj: | CPT: Pharmacometrics & Systems Pharmacology. 7:394-403 |
| ISSN: | 2163-8306 |
| Popis: | Paracetamol (acetaminophen (APAP)) is one of the most commonly used analgesics in the United Kingdom and the United States. However, exceeding the maximum recommended dose can cause serious liver injury and even death. Promising APAP toxicity biomarkers are thought to add value to those used currently and clarification of the functional relationships between these biomarkers and liver injury would aid clinical implementation of an improved APAP toxicity identification framework. The framework currently used to define an APAP overdose is highly dependent upon time since ingestion and initial dose; information that is often highly unpredictable. A pharmacokinetic/pharmacodynamic (PK/PD) APAP model has been built in order to understand the relationships between a panel of biomarkers and APAP dose. Visualization and statistical tools have been used to predict initial APAP dose and time since administration. Additionally, logistic regression analysis has been applied to histology data to provide a prediction of the probability of liver injury. |
| Databáze: | OpenAIRE |
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