报告人：吴孝钿 上海海事大学 教授
报告时间：2025年12月23日 晚上7：00-8：00 腾讯会议：739-408-678
报告题目：Multiple-Data Mechanistic Population Pharmacokinetic Modeling of Oral Ibuprofen
报告摘要：Ibuprofen, a commonly used non-steroidal anti-inflammatory drug (NSAID), exhibits considerable variability in pharmacokinetics following oral administration, particularly during the absorption phase. This study aimed to enhance the mechanistic understanding of ibuprofen absorption by developing and integrating physiologically-informed models of absorption within a population pharmacokinetic (PopPK) framework. Using existing datasets of ibuprofen plasma concentrations, two one-compartment PopPK models with linear elimination were developed: the Sequential Absorption Pharmacokinetic (SAPK) model, which accounts for pH-dependent gastrointestinal absorption, and the Partial Absorption Pharmacokinetic (PAPK) model, which reflects absorption triggered by gastric emptying. Both models adequately described the observed concentration-time profiles and explained individual variability in absorption. These findings offer valuable insight into ibuprofen absorption kinetics and support the advancement of personalized dosing strategies. This is a joint work with Zhejiang Conba Pharmaceutical Company.
报告人简介：吴孝钿，上海海事大学理学院教授，博士生导师，2013年加拿大约克大学应用数学专业理学博士，曾在加拿大西安大略大学应用数学系和蒙特利尔大学药学院从事博士后研究。主要从事经虫媒传播的传染病动力学建模、分析和预测，以及基于数据和药理的药物动力学建模、分析和模拟。在环境科学、药学和生物数学的EHP、JPKPD、JMB、JTB、MBs和BMB等知名学术期刊发表论文40多篇。先后主持完成国家自然科学基金青年项目和境外加拿大自然科学与工程基金博士后项目（FRQNT）。目前主持国家自然科学基金面上项目和上海市重点课程建设项目，曾获上海海事大学学科竞赛活动优秀指导教师一等奖。