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Author Spotlight: Advancing Metabolomics Analysis of Rare Hematopoietic Stem Cells

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Individualized metabolomics: opportunities and challenges.

Biswapriya Misra¹

¹Center for Precision Medicine, Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, 27157 NC, USA.

Clinical Chemistry and Laboratory Medicine

|April 6, 2019

Summary

Individualized metabolomics offers a promising frontier in precision medicine for targeted treatments. This article explores the challenges and opportunities of using personal metabolome data for clinical applications and population-wide insights.

Keywords:

big data clinical healthcare individualized mass spectrometry metabolomics personalized precision

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Area of Science:

Biomedical Science
Precision Medicine
Metabolomics

Background:

Advancing healthcare relies on high-quality treatments and therapeutic options for patients.
Precision medicine aims to link individual disease phenotypes with targeted therapies.
The metabolome is crucial for metabolic regulation and has gained interest alongside other 'omics' technologies.

Purpose of the Study:

To interrogate challenges and opportunities in individualized metabolomics for clinical applications.
To explore the potential of personal metabolome (n=1) data for population-wide insights and validated biomarkers.
To examine how personal metabolomics can complement other 'omics' fields and monitoring devices.

Main Methods:

This is an opinion article, presenting a discussion and interrogation of current concepts and challenges.
Literature review and critical analysis of existing research in metabolomics and precision medicine.
Exploration of technological and data interpretation challenges in individualized metabolomics.

Main Results:

The article raises questions about the cost-effectiveness and informativeness of personal metabolome data for population representation.
It highlights the need for validated biomarkers derived from individual metabolomic profiles.
The potential synergy between metabolomics, other 'omics' data, and personal monitoring devices is discussed.

Conclusions:

Individualized metabolomics holds significant promise for precision medicine but faces technological and analytical hurdles.
Further research is needed to establish the clinical utility and cost-effectiveness of personal metabolome data.
Integrating metabolomics with other data sources is key to unlocking its full potential in healthcare.