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Physiologically based pharmacokinetic modeling of impaired carboxylesterase-1 activity: effects on oseltamivir disposition.

Author: EdgintonAndrea N, HuZhe-Yi, LaizureS Casey, ParkerRobert B

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Research Support, N.I.H., ExtramuralResearch funding provided by the NIH to external research institutions and researchers.

Overview

This study aims to develop a physiologically based pharmacokinetic (PBPK) model to predict changes in CES1 substrate drug exposure in humans with impaired CES1 activity. CES1 is an enzyme involved in drug metabolism, and its activity can be reduced by ethanol or genetic polymorphisms. The PBPK model will be used to predict how these factors affect drug disposition and optimize drug dosing in individuals with altered CES1 activity.
Paper Details　
Original Abstract of the Article :
Human carboxylesterase-1 (CES1) is an enzyme that is primarily expressed in the liver, where it plays an important role in the metabolism of many commonly used medications. Ethanol (alcohol)-mediated inhibition of CES1 and loss-of-function polymorphisms in the CES1 gene can markedly reduce this enzy...See full text at original site
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引用元：
https://doi.org/10.1007/s40262-014-0160-3

データ提供：米国国立医学図書館（NLM）

Unlocking the Secrets of Drug Metabolism: How Carboxylesterase-1 Affects Oseltamivir

The way our bodies process medications is a fascinating and complex dance. This research focuses on carboxylesterase-1 (CES1), a key enzyme involved in drug metabolism. The authors delve into how CES1 activity impacts the disposition of oseltamivir, an antiviral medication commonly used to treat influenza. They utilized a [research methodology] to model how changes in CES1 activity, caused by factors like ethanol consumption or genetic variations, affect oseltamivir levels in the body. The study uncovered [key findings] about how CES1 activity influences drug levels and how this knowledge can be used to optimize medication use.

Predicting Drug Levels: A Crucial Step Towards Personalized Medicine

This research holds great promise for the future of personalized medicine. The authors created a model that can predict how CES1 activity influences drug levels in individuals. This model could be used to tailor medication doses and treatment plans based on each patient's unique characteristics, potentially leading to improved treatment outcomes and reduced side effects.

Understanding Your Body's Pharmacy

It's important to be aware of factors that might influence your body's ability to process medications. This research highlights the impact of CES1 activity on drug levels and emphasizes the importance of informing your healthcare provider about any factors that could affect your metabolism, such as ethanol consumption or genetic variations.

Dr. Camel's Conclusion

This study illustrates the intricate interplay between our bodies' enzymes and the medications we take. The model developed by the authors could significantly improve how we approach drug therapy, allowing us to tailor treatment plans to the unique needs of each patient. It's like building a personalized oasis in the desert of drug metabolism, creating a more efficient and safe journey for each individual.

Date :
  1. Date Completed 2015-05-12
  2. Date Revised 2022-03-16
Further Info :

Pubmed ID

25103325

DOI: Digital Object Identifier

10.1007/s40262-014-0160-3

Related Literature

Article Analysis
・Effects of oseltamivir
SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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