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Principles and Terminology for Host-Microbiome-Drug Interactions
Alya Heirali1,2, Shirin Moossavi3,4, Marie Claire Arrieta3,4
1Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
We propose two terms for drug-microbiome interactions: "pharmacomicrobiomics" (microbiome effects on drugs) and "pharmacoecology" (drug effects on the microbiome). Both are crucial for understanding drug safety and efficacy.
Area of Science:
- Microbiology
- Pharmacology
- Systems Biology
Background:
- The interplay between the human microbiome and medical treatments is complex and bidirectional.
- Existing terminology, such as "pharmacomicrobiomics," addresses the microbiome's influence on drug pharmacokinetics and pharmacodynamics.
- A gap exists in describing the reciprocal impact of medical interventions on the microbiome's composition and function.
Purpose of the Study:
- To introduce and define the term "pharmacoecology" to describe the effects of drugs and medical interventions on the microbiome.
- To differentiate "pharmacoecology" from "pharmacomicrobiomics" while highlighting their complementary nature.
- To emphasize the importance of both concepts in evaluating drug safety, efficacy, and overall drug-microbiome interactions.
Main Methods:
- Conceptual framework development.
- Literature review of existing research on drug-microbiome interactions.
- Definition and distinction of proposed terminology.
Main Results:
- Introduction of "pharmacoecology" as a distinct but complementary concept to "pharmacomicrobiomics."
- Demonstration of the bidirectional nature of drug-microbiome interactions.
- Application of these concepts to both antimicrobial and non-antimicrobial medications.
Conclusions:
- "Pharmacomicrobiomics" and "pharmacoecology" are essential, distinct, and complementary terms for understanding drug-microbiome dynamics.
- Both concepts are critical for comprehensive assessment of drug safety, efficacy, and therapeutic outcomes.
- Further research integrating both perspectives will advance personalized medicine and optimize therapeutic strategies.
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