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Related Experiment Video

Updated: Mar 21, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

Biomarker Discovery and Translation in Metabolomics.

G A Nagana Gowda¹, D Raftery²

¹Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA.

Current Metabolomics

|May 3, 2016

Summary

Metabolomics research accelerates disease understanding and diagnosis by discovering biomarkers. Challenges remain in translating these findings into clinical applications for human health.

Keywords:

Biomarkers NMR spectroscopy cancer cardiovascular disease commercialization diabetes diagnostics inborn errors of metabolism mass spectrometry metabolomics neurological disorder statistical analysis translation validation

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Last Updated: Mar 21, 2026

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Published on: November 29, 2024

Area of Science:

Metabolomics
Biomedicine
Biomarker Discovery

Background:

Metabolomics research has rapidly advanced in methods and applications.
Biomedicine is a major beneficiary, focusing on disease understanding, diagnosis, and prevention.
Numerous potential biomarkers for human diseases have been identified.

Purpose of the Study:

To review advances in metabolomics, focusing on biomarker discovery.
To highlight translational efforts and their clinical applications.
To discuss current challenges and future directions in the field.

Main Methods:

Review of current literature on metabolomics.
Emphasis on analytical technologies for biomarker quantitation.
Analysis of translational applications from discovery to clinical settings.

Main Results:

Significant progress in identifying disease biomarkers.
Exploration of biomarkers for early detection, prognosis, and treatment monitoring.
Advancements in analytical technologies enabling high-throughput, minimally invasive measurements.

Conclusions:

Metabolomics holds great promise for diagnosing and preventing human diseases.
Translational challenges hinder the clinical implementation of many biomarker discoveries.
Future efforts should focus on overcoming these hurdles for successful clinical integration.