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Pharmacometabolomics Informs Viromics toward Precision Medicine
Angeliki Balasopoulou1, George P Patrinos2, Theodora Katsila1
1Department of Pharmacy, School of Health Sciences, University of Patras Patras, Greece.
Frontiers in Pharmacology
|November 12, 2016
Summary
Interindividual variability in drug response is influenced by host genetics, environment, and the microbiome. Pharmacometabolomics-informed viromics offers a novel approach to predict xenobiotic efficacy and toxicity.
Area of Science:
- Pharmacogenomics
- Metabolomics
- Viromics
- Systems Biology
Background:
- The big data era presents challenges in interpreting complex biological information.
- Precision medicine requires understanding interindividual variability in response to and toxicity of xenobiotics.
- Host genetics, environmental factors, and the microbiome significantly contribute to this variability.
Purpose of the Study:
- To investigate the impact of host-microbiome interplay on xenobiotic efficacy and toxicity.
- To explore the role of viruses in xenobiotic response.
- To introduce pharmacometabolomics-informed viromics for predicting interindividual drug response.
Main Methods:
- Focus on host-microbiome interactions and their influence on xenobiotics.
- Integration of metabolomics and viromics data.
- Utilizing pre-dose metabotypes for predictive modeling.
Main Results:
- Pre-dose metabotypes can aid in modeling and predicting interindividual xenobiotic response and toxicity.
- These features, alone or with host genetics, can drive biomarker discovery.
- Identified features must be variable, stable, and superior to existing predictive tools.
Conclusions:
- Pharmacometabolomics-informed viromics is an emerging discipline for personalized medicine.
- Understanding the virome alongside the microbiome and host genetics is crucial.
- This approach holds potential for discovering novel biomarkers for therapeutic efficacy and toxicity prediction.
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