{"title":"CEC03-01 Introduction to PBPK modeling for exposure predictions","authors":"A. Olivares-Morales","doi":"10.1016/j.toxlet.2025.07.020","DOIUrl":null,"url":null,"abstract":"<div><div>This lecture will provide an introduction to the use of physiologically-based pharmacokinetic (PBPK) modeling as a tool to predict the pharmacokinetics of novel small molecule therapeutics in both humans and non-clinical safety species, such as animals. This modeling helps predict the anticipated therapeutic exposure/doses and the corresponding safety margins to enable decision-making before first-in-human trials. The lecture will cover an introductory component to the concept of PBPK, its usefulness in safety prediction, and provide examples of a step-by-step estimation of safety margins, which is common practice in the pharmaceutical industry.</div></div>","PeriodicalId":23206,"journal":{"name":"Toxicology letters","volume":"411 ","pages":"Page S7"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Toxicology letters","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378427425016030","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This lecture will provide an introduction to the use of physiologically-based pharmacokinetic (PBPK) modeling as a tool to predict the pharmacokinetics of novel small molecule therapeutics in both humans and non-clinical safety species, such as animals. This modeling helps predict the anticipated therapeutic exposure/doses and the corresponding safety margins to enable decision-making before first-in-human trials. The lecture will cover an introductory component to the concept of PBPK, its usefulness in safety prediction, and provide examples of a step-by-step estimation of safety margins, which is common practice in the pharmaceutical industry.