Home Journals Articles Updates About
CN
image
收藏切换
Physiologically-based pharmacokinetic modeling for predicting drug-drug interactions induced by acid-reducing agents
收藏切换
PDF
Xiao-wen WANG1, 2, Qing-feng HE2, Xiao-qiang XIANG2, Bing HAN1, *
Acta Pharmaceutica Sinica | 2021, 56(8) : 2197 - 2203
Less
收藏切换
Acta Pharmaceutica Sinica | 2021, 56(8): 2197-2203
• Reviews •
Physiologically-based pharmacokinetic modeling for predicting drug-drug interactions induced by acid-reducing agents
Full
Xiao-wen WANG1, 2, Qing-feng HE2, Xiao-qiang XIANG2, Bing HAN1, *
Affiliations
  • 1. Central Hospital of Minhang Distract, Shanghai 201109, China
  • 2. School of Pharmacy, Fudan University, Shanghai 201203, China
Published: 2021-08-12 doi: 10.16438/j.0513-4870.2021-0272
Outline
收藏切换

Gastric pH is an important factor that affects drug absorption, as gastric pH may lead to lower bioavailability, especially for weak-base drugs. Acid-reducing agents (ARAs) such as antacids, histamine-2 receptor antagonists, and proton pump inhibitors, are susceptible to drug-drug interactions (DDIs), potentially resulting in the loss of efficacy. Physiologically based pharmacokinetic (PBPK) modeling is an important tool for the evaluation of oral drug-drug interactions and the most commonly used models include the advanced comparative absorption and transport (ACAT) model and the advanced dissolution, absorption and metabolism (ADAM) model. These models can be used for adjustment of the dosage regimen and the screening of candidate drugs in drug development by simulating the change of gastric pH to predict the change in drug absorption. This review summarizes the theoretical basis, the most common PBPK models used to predict drug absorption, and the effects of different kinds of ARAs drugs on gastric pH. Some successful applications of PBPK modeling in predicting the effects of gastric pH on drug absorption are also presented.

drug absorption  /  physiologically based pharmacokinetic modeling  /  drug-drug interaction
Xiao-wen WANG, Qing-feng HE, Xiao-qiang XIANG, Bing HAN. Physiologically-based pharmacokinetic modeling for predicting drug-drug interactions induced by acid-reducing agents[J]. Acta Pharmaceutica Sinica, 2021 , 56 (8) : 2197 -2203 . DOI: 10.16438/j.0513-4870.2021-0272
Appendix
Less
Year 2021 volume 56 Issue 8
PDF
169
74
Cite this Article
BibTeX
Article Info
doi: 10.16438/j.0513-4870.2021-0272
  • Receive Date：2021-02-26
  • Online Date：2025-12-18
  • Published：2021-08-12
Article Data
Affiliations
History
  • Received：2021-02-26
  • Revised：2021-05-14
Funding
Affiliations
    1. Central Hospital of Minhang Distract, Shanghai 201109, China
    2. School of Pharmacy, Fudan University, Shanghai 201203, China
References
Share
https://castjournals.cast.org.cn/joweb/yxxb/EN/10.16438/j.0513-4870.2021-0272
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House