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The Analytical Scientist / Issues / 2026 / July / Toward a Metabolic Passport for Athletes
Omics Omics Metabolomics & Lipidomics Proteomics

Toward a Metabolic Passport for Athletes

Nathan Lawler discusses how longitudinal metabolomics could help track the way athletes respond to training, competition, travel, and recovery

By James Strachan 07/13/2026 13 min read
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Objective:

To explore the potential of a metabolic passport for athletes that tracks their biochemical responses to training, competition, travel, illness, fatigue, and recovery.

Approach:
  • Current Use of Analytical Science: Analytical science is not fully embedded in sports practice, despite the data-driven nature of athletics. Coaches seek clear, actionable insights from data.
  • Limitations of Metabolomics: Metabolomics is still largely exploratory, lacking the direct interpretation that coaches require for decision-making. Turnaround time for results is a significant limitation.
  • Advancements in Technology: Emerging technologies like dried blood spots and portable instruments could enhance the practicality of analytical science in sports.
  • Future Applications: Metabolomics may be more useful in recovery periods between competitions rather than on game day, providing insights into fatigue and nutrition.
Key Findings:
  • Analytical science has potential in sports but is not yet fully integrated.
  • Coaches need reliable, actionable data rather than exploratory findings.
  • Technological advancements are making field-based testing more feasible.
  • Metabolomics could support athlete monitoring by adding a biochemical layer.
Interpretation:

The field of metabolomics in sports is evolving, with increasing research and potential for practical applications, particularly in recovery and preparation phases.

Limitations:
  • Metabolomics is still exploratory and lacks direct actionable insights.
  • Turnaround time for results is often too long for immediate application in training.
Conclusion:

The integration of metabolomics into athlete monitoring requires further research and development to establish reliable, actionable metrics.

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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About the Author(s)

James Strachan

Over the course of my Biomedical Sciences degree it dawned on me that my goal of becoming a scientist didn’t quite mesh with my lack of affinity for lab work. Thinking on my decision to pursue biology rather than English at age 15 – despite an aptitude for the latter – I realized that science writing was a way to combine what I loved with what I was good at. From there I set out to gather as much freelancing experience as I could, spending 2 years developing scientific content for International Innovation, before completing an MSc in Science Communication. After gaining invaluable experience in supporting the communications efforts of CERN and IN-PART, I joined Texere – where I am focused on producing consistently engaging, cutting-edge and innovative content for our specialist audiences around the world.

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