Kiara Fairman , Miao Li , Shruti V. Kabadi , Annie Lumen
{"title":"基于生理学的药代动力学建模:转化研究和调节毒理学的一个有前途的工具","authors":"Kiara Fairman , Miao Li , Shruti V. Kabadi , Annie Lumen","doi":"10.1016/j.cotox.2020.03.001","DOIUrl":null,"url":null,"abstract":"<div><p><span>Computational pharmacokinetic modeling methods, such as physiologically based pharmacokinetic (PBPK) modeling, have shown great promise for use in translational research as well as regulatory assessments. PBPK models are assumption-based simplifications of the complex biological system modeled and have high data demands for model parameterization and verification. However, unlike empirical models that rely on multiple observations from a single system, PBPK models uniquely allow for data to be obtained from multiple platforms (</span><em>in silico, in vitro</em>, and <em>in vivo</em><span>). Furthermore, these data are integrated by the principles of physiology and pharmacology/toxicology to make predictions in domains with sparse observations. Our article provides an overview of scientific utility of PBPK modeling in translational research and regulatory toxicology<span> using some case examples that highlight the important role of PBPK model-based predictions in contributing to regulatory assessments of diverse types of chemicals, ranging from food and environmental chemicals to drugs intended for use in veterinary and human medicine. At present, collective efforts are ongoing for establishing uniformity, consistency, and transparency within many areas of PBPK modeling, and with continuing advances in the field of computational pharmacokinetic, PBPK modeling has the potential to contribute to reliable alternatives to animal testing in the future.</span></span></p></div>","PeriodicalId":37736,"journal":{"name":"Current Opinion in Toxicology","volume":"23 ","pages":"Pages 17-22"},"PeriodicalIF":6.1000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.cotox.2020.03.001","citationCount":"4","resultStr":"{\"title\":\"Physiologically based pharmacokinetic modeling: A promising tool for translational research and regulatory toxicology\",\"authors\":\"Kiara Fairman , Miao Li , Shruti V. Kabadi , Annie Lumen\",\"doi\":\"10.1016/j.cotox.2020.03.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>Computational pharmacokinetic modeling methods, such as physiologically based pharmacokinetic (PBPK) modeling, have shown great promise for use in translational research as well as regulatory assessments. PBPK models are assumption-based simplifications of the complex biological system modeled and have high data demands for model parameterization and verification. However, unlike empirical models that rely on multiple observations from a single system, PBPK models uniquely allow for data to be obtained from multiple platforms (</span><em>in silico, in vitro</em>, and <em>in vivo</em><span>). Furthermore, these data are integrated by the principles of physiology and pharmacology/toxicology to make predictions in domains with sparse observations. Our article provides an overview of scientific utility of PBPK modeling in translational research and regulatory toxicology<span> using some case examples that highlight the important role of PBPK model-based predictions in contributing to regulatory assessments of diverse types of chemicals, ranging from food and environmental chemicals to drugs intended for use in veterinary and human medicine. At present, collective efforts are ongoing for establishing uniformity, consistency, and transparency within many areas of PBPK modeling, and with continuing advances in the field of computational pharmacokinetic, PBPK modeling has the potential to contribute to reliable alternatives to animal testing in the future.</span></span></p></div>\",\"PeriodicalId\":37736,\"journal\":{\"name\":\"Current Opinion in Toxicology\",\"volume\":\"23 \",\"pages\":\"Pages 17-22\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.cotox.2020.03.001\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468202020300176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468202020300176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TOXICOLOGY","Score":null,"Total":0}
Physiologically based pharmacokinetic modeling: A promising tool for translational research and regulatory toxicology
Computational pharmacokinetic modeling methods, such as physiologically based pharmacokinetic (PBPK) modeling, have shown great promise for use in translational research as well as regulatory assessments. PBPK models are assumption-based simplifications of the complex biological system modeled and have high data demands for model parameterization and verification. However, unlike empirical models that rely on multiple observations from a single system, PBPK models uniquely allow for data to be obtained from multiple platforms (in silico, in vitro, and in vivo). Furthermore, these data are integrated by the principles of physiology and pharmacology/toxicology to make predictions in domains with sparse observations. Our article provides an overview of scientific utility of PBPK modeling in translational research and regulatory toxicology using some case examples that highlight the important role of PBPK model-based predictions in contributing to regulatory assessments of diverse types of chemicals, ranging from food and environmental chemicals to drugs intended for use in veterinary and human medicine. At present, collective efforts are ongoing for establishing uniformity, consistency, and transparency within many areas of PBPK modeling, and with continuing advances in the field of computational pharmacokinetic, PBPK modeling has the potential to contribute to reliable alternatives to animal testing in the future.
期刊介绍:
The aims and scope of Current Opinion in Toxicology is to systematically provide the reader with timely and provocative views and opinions of the highest qualified and recognized experts on current advances in selected topics within the field of toxicology. The goal is that Current Opinion in Toxicology will be an invaluable source of information and perspective for researchers, teachers, managers and administrators, policy makers and students. Division of the subject into sections: For this purpose, the scope of Toxicology is divided into six selected high impact themed sections, each of which is reviewed once a year: Mechanistic Toxicology, Metabolic Toxicology, Risk assessment in Toxicology, Genomic Toxicology, Systems Toxicology, Translational Toxicology.