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Updated: May 9, 2026

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
Pharmacometabonomics and personalized medicine
Jeremy R Everett1, Ruey Leng Loo, Francis S Pullen
1Medway Metabonomics Research Group, School of Science, University of Greenwich, Chatham Maritime, UK.
Pharmacometabonomics uses metabolite profiles to predict drug effects, improving personalized medicine. This approach considers genetics, environment, and the microbiome for enhanced drug efficacy and safety.
Area of Science:
- Pharmacometabonomics represents a novel scientific discipline focused on predicting drug responses.
- It integrates metabolomics with pharmacology to understand drug behavior in biological systems.
Background:
- Defined in 2006, pharmacometabonomics utilizes pre-dose metabolite profiles and mathematical modeling.
- It complements pharmacogenomics (PGx) and pharmacoproteomics in drug development and clinical application.
Purpose of the Study:
- To review the emerging field of pharmacometabonomics and its applications.
- To assess its potential in personalized medicine for optimizing drug efficacy and safety.
Main Methods:
- A comprehensive literature review was conducted using major scientific databases (PubMed, Web of Science).
- Search terms included various forms of 'pharmacometabonomics' and 'pharmacometabolomics' from October 2012 to April 2013.
Main Results:
- The field has grown significantly since 2006, with 21 original publications and 8 reviews.
- Applications span prediction of pharmacokinetics (PK), drug metabolism, efficacy, and safety in humans and animals.
Conclusions:
- Pharmacometabonomics holds significant promise for advancing personalized medicine by enhancing drug efficacy and patient safety.
- Its sensitivity to genetic and environmental factors, including the microbiome, makes it a powerful tool.
- It is predicted to become as important as pharmacogenomics (PGx) in the coming decades, offering complementary insights.
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