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Related Concept Videos

Combined Effects of Drugs: Synergism01:27

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Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
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Updated: Jun 23, 2025

Analysis of Interactions between Endobiotics and Human Gut Microbiota Using In Vitro Bath Fermentation Systems
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A new evaluation system for drug-microbiota interactions.

Tian-Hao Liu1,2,3, Chen-Yang Zhang3,4, Hang Zhang5

  • 1Yu-Yue Pathology Scientific Research Center Chongqing China.

Imeta
|June 20, 2024
PubMed
Summary
This summary is machine-generated.

Individual variability in drug response (IVDR) is influenced by gut microbiota, shaped by genetics and environment. Understanding these drug-microbiota interactions is key to improving drug efficacy and reducing clinical trial failures.

Keywords:
drug metabolismdrug–microbiota interactionsgenetic and environmental factorsgut microbiota

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Area of Science:

  • Pharmacology
  • Microbiology
  • Genetics

Background:

  • Drug response is multifactorial, influenced by genetics and environment.
  • High clinical failure rates of gene-targeted drugs highlight the need to consider environmental factors and individual variability in drug response (IVDR).
  • Gut microbiota composition and drug metabolism are primarily determined by environmental variables, not the disease itself.

Purpose of the Study:

  • To discuss how gut microbiota affects the host's drug absorption, distribution, metabolism, and excretion (ADME) microenvironment.
  • To propose a novel evaluation system for drug-microbiota interactions.
  • To introduce a new research approach for investigating in vivo drug-microbiota interactions.

Main Methods:

  • Review of current evidence on environmental factors, gut microbiota, and drug metabolism.
  • Conceptualization of a new evaluation system for drug-microbiota interactions.
  • Proposal of a top-down research approach using germ-free animal models.

Main Results:

  • Individual differences in gut microbiota create unique metabolic environments influencing in vivo ADME processes.
  • Gut microbiota, influenced by genetic and environmental factors, significantly impacts the host's ADME microenvironment.
  • Germ-free animal models provide a foundation for a new drug-microbiota interaction evaluation system.

Conclusions:

  • Environmental factors and individual gut microbiota composition are critical determinants of drug response.
  • A comprehensive understanding of drug-microbiota interactions is essential for improving drug development and clinical outcomes.
  • The proposed research approach and evaluation system offer a pathway to better predict and manage IVDR.