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Physiologically-based pharmacokinetic modeling for predicting drug-drug interactions induced by acid-reducing agents
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Xiao-wen WANG1, 2, Qing-feng HE2, Xiao-qiang XIANG2, Bing HAN1, *
Acta Pharmaceutica Sinica | 2021, 56(8) : 2197 - 2203
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Acta Pharmaceutica Sinica | 2021, 56(8): 2197-2203
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Physiologically-based pharmacokinetic modeling for predicting drug-drug interactions induced by acid-reducing agents
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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
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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
Year 2021 volume 56 Issue 8
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doi: 10.16438/j.0513-4870.2021-0272
  • Receive Date:2021-02-26
  • Online Date:2025-12-18
  • Published:2021-08-12
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  • Received:2021-02-26
  • Revised:2021-05-14
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    1. Central Hospital of Minhang Distract, Shanghai 201109, China
    2. School of Pharmacy, Fudan University, Shanghai 201203, China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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占总种数比例
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Number of
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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
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