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Different inhibitory effects in rat and human carboxylesterases
Shiori Takahashi1, Miki Katoh, Takashi Saitoh
1Drug Metabolism and Toxicology, Faculty of Pharmaceutical Sciences, Kanazawa University, Kakumamachi, Kanazawa 920-1192, Japan.
This study investigated carboxylesterase (CES) inhibition across species and tissues. We found significant species differences in CES inhibition, crucial for prodrug development and understanding drug interactions.
Area of Science:
- Pharmacology and Toxicology
- Drug Metabolism and Pharmacokinetics
Background:
- In vitro inhibition studies are vital for predicting drug-drug interactions and aiding drug development.
- Carboxylesterase (CES) activity profiles and species/tissue-specific inhibition remain incompletely understood.
Purpose of the Study:
- To investigate the inhibitory effects of various drugs on carboxylesterase (CES) activity.
- To determine species and tissue differences in CES inhibition.
- To elucidate inhibition constants (K(i) values) and patterns for potent inhibitors.
Main Methods:
- Measured inhibitory effects of 15 drugs and 1 compound on human and rat liver/jejunum microsomes and cytosol.
- Determined inhibition constants (K(i) values) and inhibition patterns for strong inhibitors.
- Utilized imidapril and irinotecan hydrochloride (CPT-11) as substrates, catalyzed by CES1 and CES2 respectively.
Main Results:
- Imidapril hydrolysis in human liver was strongly inhibited by nordihydroguaiaretic acid (NDGA) and procainamide, with similar profiles in rat liver.
- NDGA showed a 30-fold higher K(i) in human liver microsomes compared to rat liver microsomes.
- CPT-11 hydrolysis was minimally inhibited, with physostigmine exhibiting a 10-fold lower K(i) in human jejunum cytosol versus rat jejunum cytosol.
Conclusions:
- Significant species differences in carboxylesterase (CES) inhibition were identified between humans and rats.
- Inhibitory profiles for CES were found to be similar between liver and jejunum tissues within species.
- These findings provide valuable insights for prodrug development and predicting drug-drug interactions.
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