Linking interpersonal differences in gut microbiota composition and drug biotransformation activity.

Area of Science:

• Microbiology
• Pharmacology
• Genomics

Background:

• Individual drug responses vary due to factors like the gut microbiome.
• Gut bacteria are known to metabolize drugs, but community-level effects are unclear.

Purpose of the Study:

• To characterize drug biotransformation by diverse gut microbial communities.
• To identify drugs with variable metabolism across human and animal microbiomes.
• To develop predictive models for microbiota-mediated drug metabolism.

Main Methods:

• Tested the metabolism of 271 drugs using 89 gut microbial communities.
• Compared drug biotransformation across human and animal-derived microbiomes.
• Developed and evaluated modeling approaches using metagenomic data.

Main Results:

• Over 90% of tested drugs were metabolized by at least one microbiome.
• Identified 66 drugs with highly variable metabolism in human microbiomes.
• Observed significant differences in drug metabolism between human and animal microbiomes.

Conclusions:

• Gut microbiome composition profoundly influences drug metabolism and variability.
• Predictive models can aid in understanding and managing microbiome-drug interactions.
• Findings support integrating microbiome data into drug discovery and personalized medicine.