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Biomarkers should refine, not replace, clinical reasoning and athlete monitoring, with interpretation requiring individual baseline, sampling conditions, recent workload, nutrition, hydration, sleep, illness, sex-specific physiology, and performance.

This narrative review argues that routine biomarkers like lactate, creatine kinase, and cortisol are only useful when interpreted contextually, not against population reference ranges. Metabolomics expands interpretation by identifying pathway-level signatures, but omics-derived markers require standardization before routine use.

Last updated: Jul 29, 2026โ€ข0 RCTsโ€ข๐Ÿ“– Read as article โ†’

Evidence Score

Evidence Score32/100
Human RCTโ˜†โ˜†โ˜†โ˜†โ˜†
Meta-analysisโ˜†โ˜†โ˜†โ˜†โ˜†
Mechanismโ˜…โ˜…โ˜…โ˜…โ˜…
Safetyโ˜…โ˜…โ˜…โ˜…โ˜†
Confidencelow

Study Evidence

Study 1. From Routine Blood Tests to Metabolomics: A Contextual Framework for Interpreting Biomarkers of Training Load, Recovery, and Metabolic Stress in Athletes.

observational

Muñoz-López M, Quesada-Fernández G, Sancho-Haro ES, Ramírez de la Piscina-Viúdez X, Baz-Valle E, López-Gil JF, Tornero-Aguilera JF ยท Metabolites (2026)

Participants: N/A
Duration: N/A
Intervention: Contextual framework (BASE: Baseline, Analytical standardization, Sport-specific context, Evidence of functional change) for interpreting biomarkers
Outcome: Interpretation accuracy of biomarkers for training load, recovery, metabolic stress, and clinical risk
Effect Size: N/A
Population: Athletes monitored with blood tests and metabolomics

Result:

PubMed: 42506435DOI: 10.3390/metabo16070483

Mechanism Graph

Biomarkers are influenced by individual baseline, sampling conditions, workload, nutrition, hydration, sleep, illness, and sex-specific physiology
โ†“
Metabolomics identifies pathway-level signatures (e.g., glycolysis, ฮฒ-oxidation, amino acid turnover)
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Contextual interpretation using BASE framework refines clinical reasoning
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Result: More precise and proportionate biomarker interpretation

Limitations

  • โš Narrative review design, not systematic or meta-analytic
  • โš Omics-derived markers require careful standardization and validation before routine applied use

Frequently Asked Questions

What is the BASE framework for biomarker interpretation?โ–ผ

BASE stands for Baseline, Analytical standardization, Sport-specific context, and Evidence of functional change, designed to support precise interpretation of blood tests and metabolomics in athletes.

Why are population reference ranges insufficient for athlete biomarkers?โ–ผ

Athletes have unique physiology influenced by training load, recovery, nutrition, hydration, sleep, illness, and sex-specific factors, making isolated values or population thresholds misleading.

What metabolomic markers are mentioned in the review?โ–ผ

The review mentions lactate, ฮฒ-aminoisobutyric acid (BAIBA), N-lactoyl-phenylalanine (Lac-Phe), acylcarnitines, bile acids, oxylipins, kynurenine metabolites, and other pathway-level signatures.

Can metabolomics replace routine blood tests in athlete monitoring?โ–ผ

No, metabolomics expands interpretation but requires standardization and validation; biomarkers should refine, not replace, clinical reasoning and athlete monitoring.

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References

  1. 1.Muñoz-López M, Quesada-Fernández G, Sancho-Haro ES, Ramírez de la Piscina-Viúdez X, Baz-Valle E, López-Gil JF, Tornero-Aguilera JF. "From Routine Blood Tests to Metabolomics: A Contextual Framework for Interpreting Biomarkers of Training Load, Recovery, and Metabolic Stress in Athletes.." Metabolites, 2026. PMID: 42506435 DOI: 10.3390/metabo16070483
Disclaimer: This content is for educational purposes only and is not medical advice. Evidence scores reflect the quality and quantity of available research, not clinical recommendations. Always consult a healthcare professional before starting any supplement or intervention.