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Towards Precision Sports Nutrition for Endurance Athletes: A Scoping Review of Application of Omics and Wearables Technologies

Leon Bedrač, Leon Deutsch, Sanja Terzic, Matej Červek, Julij Šelb, Urška Ašič, Laure M. G. Verstraeten, Enej Kuščer, Filip Cvetko

2024Nutrients11 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Endurance athletes require tailored nutrition strategies to optimize performance, recovery, and training adaptations. While traditional sports nutrition guidelines provide a foundational framework, individual variability in metabolic responses underscores the need for precision nutrition, informed by genetic, biological, and environmental factors. This scoping review evaluates the application of systems biology-driven sports nutrition for endurance athletes, focusing on 'omics' and wearable technologies. METHODS: A scoping review of the literature was conducted in PubMed, Scopus, and Web of Science in accordance with the PRISMA-ScR checklist. Research questions, search strategies, and eligibility criteria were guided by the Population-Concept-Context framework with the following inclusion criteria: original research in English, involving endurance athletes, systems biology approaches, and nutritional interventions or continuous glucose monitoring (CGM). RESULTS: = 31; 60%) were randomized controlled trials (RCTs) with generally high methodological quality. CONCLUSIONS: Most studies were proof-of-concept investigations aimed at assessing biomarkers; however, the evidence linking these biomarkers to performance, recovery, and long-term health outcomes in endurance athletes remains insufficient. Future research should focus on well-powered replicated crossover RCTs, multivariate N-of-1 clinical trials, 360-degree systems-wide approaches, and the validation of genetic impacts on nutritional interventions to refine dietary guidelines.

Topics & Concepts

Wearable computerAthletesOmicsSports nutritionWearable technologyPhysical activityMedicineData scienceComputer scienceBioinformaticsPhysical therapyBiologyEmbedded systemMuscle metabolism and nutritionNutrition, Genetics, and DiseaseGenetics and Physical Performance
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