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Adaptation or Maladaptation? Rethinking How Energy Restriction Outcomes Are Monitored
Kyle A Dunlop1, Jamie Whitfield1, John A Hawley2,3
1Centre for Human Metabolism and Performance, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
Sports Medicine (Auckland, N.Z.)
|July 28, 2026
Summary
Energy restriction (ER) can harm health and athletic performance. Metabolomics offers a sensitive tool to detect detrimental changes before they become severe, enabling timely intervention for metabolic health and athletic adaptation.
Area of Science:
- Metabolic Health
- Sports Science
- Biochemistry
Background:
- Energy restriction (ER) is used for weight loss and athletic performance but can lead to adaptive thermogenesis and weight regain.
- ER in athletes can compromise health due to energy-conserving adaptations.
- Current monitoring tools for problematic ER have diagnostic latency, detecting issues after they are difficult to correct.
Purpose of the Study:
- To propose metabolomics as a sensitive tool for monitoring energy restriction.
- To identify the transition from adaptation to maladaptation during ER.
- To aid in correcting ER to prevent physiological decline and protect long-term health in different populations.
Main Methods:
- Review of current literature on energy restriction and its physiological effects.
- Exploration of metabolomics as a diagnostic tool.
- Discussion of the application of metabolomics in clinical and sports settings.
Main Results:
- Metabolomics can detect subtle biochemical shifts preceding whole-body maladaptations to ER.
- This approach offers a potential solution to the diagnostic latency of current monitoring tools.
- Early identification of problematic ER is feasible through metabolite profiling.
Conclusions:
- Metabolomics shows promise for monitoring energy restriction in individuals with metabolic issues and elite athletes.
- This tool can help prevent physiological decline by enabling timely correction of ER.
- Integrating metabolomics into practice could improve health outcomes and performance optimization.

