Pharmacomicrobiomics informs clinical pharmacogenomics

Microbiota–host–xenobiotics interactions in humans become of prime interest when clinical pharmacogenomics is to be implemented. Despite the advent of technology, information still needs to be translated into knowledge for optimum patient stratification and disease management. Herein, we mined metag...

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Bibliographic Details
Published in:Pharmacogenomics 2019-07, Vol.20 (10), p.731-739
Main Authors: Katsila, Theodora, Balasopoulou, Angeliki, Tsagaraki, Ioanna, Patrinos, George P
Format: Article
Language:English
Subjects:
Antibiotics
Citation indexes
Collaboration
Content analysis
contextual data
Data banks
Databases, Factual
Drug-Related Side Effects and Adverse Reactions - genetics
Drugs
Ecosystems
Genomes
Genomics
Health care
Host Microbial Interactions - genetics
Humans
metagenomics
Microbiota
Microbiota - physiology
microbiota–host–xenobiotics networks
Microorganisms
open science
Pharmaceutical Preparations - administration & dosage
Pharmacogenetics - methods
Pharmacogenomics
pharmacometagenomics
pharmacomicrobiomics
Public health
Toxicity
Xenobiotics
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Summary:Microbiota–host–xenobiotics interactions in humans become of prime interest when clinical pharmacogenomics is to be implemented. Despite the advent of technology, information still needs to be translated into knowledge for optimum patient stratification and disease management. Herein, we mined metagenomic, pharmacometagenomic and pharmacomicrobiomic datasets to map microbiota–host–drugs networks. Datasets were multifaceted and voluminous. Interoperability, data sparsity and scarcity remain a challenge. Mapping microbiota–host–drugs networks allowed the prediction of drug response/toxicity and modulation of the microbiota–host–drugs interplay. Our approach triangulated microbiota, host and drug networks revealing the need for contextual data and open science via microattribution to accelerate knowledge growth. Our findings may serve as a data storehouse for a user-friendly query system, coupled with databanks and databases.
ISSN:1462-2416
1744-8042
DOI:10.2217/pgs-2019-0027