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In Silico Food-Drug Interaction: A Case Study of Eluxadoline and Fatty Meal.

Author: AlcaroStefano, CorsettiMaura, KeszthelyiDaniel, LupiaAntonio, MarucaAnnalisa, RoccaRoberta

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.

Overview

This study proposed a computational protocol to explain the different assimilations of two μ-receptors agonists, eluxadoline and loperamide, with a peculiar pharmacokinetic profile. Our results suggest that fatty meal causes the 'closure' of the eluxadoline molecule to prevent the exposure of the polar groups and their interaction with water, necessary for the drug absorption.
Paper Details　
Original Abstract of the Article :
Food-drug interaction is an infrequently considered aspect in clinical practice. Usually, drugs are taken together with meals and what follows may adversely affect pharmacokinetic and pharmacodynamic properties, and hence, the therapeutic effects. In this study, a computational protocol was proposed...See full text at original site
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引用元：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731208/

データ提供：米国国立医学図書館（NLM）

Food-Drug Interactions: A Computational Approach

This research explores the impact of food on the absorption and effectiveness of certain medications using computational modeling. The study focuses on two mu-receptor agonists, eluxadoline and loperamide, which exhibit different pharmacokinetic profiles when taken with a fatty meal. The authors utilize computational methods to investigate the underlying mechanisms of these food-drug interactions.

Understanding Food-Drug Interactions

This research highlights the importance of considering food-drug interactions when prescribing medications. It's like understanding the unique conditions of a desert environment, where the terrain and climate can significantly influence the outcome of a journey. The authors use computational modeling to simulate the different absorption patterns of eluxadoline and loperamide in the presence of a fatty meal, providing insights into the potential mechanisms behind these interactions.

A Computational Guide to Drug Absorption

This research demonstrates the value of computational tools for studying food-drug interactions. It's like using a virtual telescope to observe the intricate dance of molecules in the digestive tract. The study's findings can help inform drug development and optimize medication use to maximize therapeutic efficacy and minimize potential adverse effects.

Dr. Camel's Conclusion

This research delves into the intriguing world of food-drug interactions, using computational modeling to unravel the complexities of drug absorption in the presence of food. It's like peering through a magnifying glass into a hidden world—a world where seemingly subtle factors can significantly impact the effectiveness of medications. The study underscores the importance of considering these interactions for improved drug development and personalized medicine.
Date :
  1. Date Completed 2021-03-08
  2. Date Revised 2021-03-08
Further Info :

Pubmed ID

33266221

DOI: Digital Object Identifier

PMC7731208

Related Literature

Article Analysis
・Causes of dietary fats・Effects of eluxadoline
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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