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Chinese Journal of Clinical Pharmacology and Therapeutics ›› 2026, Vol. 31 ›› Issue (7): 975-989.doi: 10.12092/j.issn.1009-2501.2026.07.014

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Novel in vitro liver metabolism models and their applications progress

Sihan LU1,2(), Guanglin BAO1,2, Jianguo SUN1,2,3,*()   

  1. 1. Jiangsu Provincial Key Laboratory of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, Jiangsu, China
    2. State key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, Jiangsu, China
    3. Innovative Unit "PK-PD Combination Research on Complex Components of Traditional Chinese Medicines", Chinese Academy of Medical Sciences, Beijing 100730, China
  • Received:2025-12-11 Revised:2026-02-13 Online:2026-07-26 Published:2026-08-04
  • Contact: Jianguo SUN E-mail:3223071772@stu.cpu.edu.cn;jgsun@cpu.edu.cn

Abstract:

Studies of hepatic drug metabolism are crucial for drug development, clinical dosing guidance, and assessment of drug safety. Although traditional in vitro liver models have been widely used, their limitations in maintaining hepatic function, predictive accuracy, and physiological fidelity have spurred the development of various advanced in vitro liver models. Previous reviews have focused on the technologies used for constructing novel models or on comparative evaluations of their performance, whereas systematic analyses of the application characteristics of different advanced models in drug metabolism research remain limited. Based on a comprehensive review of recent advanced in vitro liver models and the novel technologies they employ, this article further aligns model functional characteristics with specific drug-metabolism research scenarios and summarizes their performance in metabolic stability assessment, metabolite identification, and the evaluation of drug–drug interactions. This review aims to provide guidance for the rational selection and standardized application of in vitro models, thereby supporting preclinical research and clinical use of drugs.

Key words: liver, biotransformation, in vitro techniques, metabolic clearance rate, drug interaction

CLC Number: