Precision nutrition in sports science: an opinion on omics-based personalization and athletic outcomes

Abstract

Precision nutrition has emerged as a rapidly evolving interdisciplinary field within sports science, presenting an innovative approach to tailoring nutritional strategies for optimizing athletic performance (1)(2)(3). By harnessing omics technologies such as nutrigenomics, metabolomics, proteomics, and transcriptomics, precision nutrition delves into the molecular and metabolic nuances of athletes (4). These advancements pave the way for individualized nutritional interventions that consider genetic, biochemical, and environmental variations, moving beyond traditional, generalized dietary recommendations. In a landscape increasingly shaped by data-driven approaches, the application of omics-based precision nutrition has the potential to refine strategies for training adaptation, recovery, injury prevention, and performance enhancement (5).This review explores the intersection of precision nutrition and sports science, highlighting the role of omics technologies in crafting personalized dietary solutions for athletes. By addressing three key research questions, the review synthesizes and critically evaluates existing literature: How can omics technologies be utilized to optimize personalized nutrition strategies for athletic populations? What evidence supports the effectiveness of such interventions in enhancing performance, recovery, and injury prevention? And what challenges and opportunities are encountered when translating omicsbased findings into practical applications within sports settings? Addressing these questions provides a foundation for understanding how molecular-level insights can be applied to achieve measurable benefits for athletes.The methodology employed in this review includes a comprehensive analysis of existing peerreviewed literature, spanning studies on genomics, proteomics, metabolomics, and transcriptomics, as well as systematic reviews and clinical trials (6). By integrating findings from diverse studies, the paper adopts a narrative approach to present a cohesive understanding of omics-based precision nutrition. Key analytical methods include critical evaluation, comparative analysis of technological applications, and reflection on methodological advancements and limitations. This approach ensures a balanced discussion that underscores areas of progress while acknowledging remaining challenges in the field.Current research demonstrates the promising potential of omics technologies to enhance sports nutrition. For example, metabolomics has advanced the understanding of metabolic pathways such as fatty acid oxidation and glycolysis in exercise physiology, while nutrigenomics has identified genetic markers associated with athletic traits such as endurance and injury susceptibility (7,8). Proteomics has further enabled insights into protein expression changes during recovery and adaptation (9). However, challenges persist in translating these findings into scalable and actionable interventions, with limitations stemming from methodological inconsistencies, ethical considerations, and the complexity of integrating multi-omics data.The structure of this paper is designed to provide a thorough exploration of the topic. Following The heritability of elite athletic performance, with estimates attributing up to 70% of variance in athlete status to genetic factors, emphasizes the crucial role of genomics in understanding athletic potential (16). This high degree of genetic influence supports the use of genomic screening for early talent identification and strategic athlete development. However, heritability studies often do not account for environmental influences, such as training and nutrition, which interact with genetic predispositions to shape performance outcomes. The complexity of these gene-environment interactions necessitates more integrative research approaches to contextualize heritability findings (17).Genome-wide association studies (GWAS) have significantly contributed to our understanding of the genetic architecture of athletic traits by identifying hundreds of potential performance-related single nucleotide polymorphisms (SNPs) (18)(19)(20). However, these studies often face reproducibility issues due to small sample sizes, ethnic homogeneity, and confounding variables. Initiatives like the Athlome Project Consortium underscore the importance of large and diverse sample sizes to address these challenges. Despite technological advancements, the inability to consistently identify significant genetic variants highlights a limitation of current GWAS methodologies (21)(22)(23). This shortcoming points to the need for innovative study designs that go beyond statistical associations to elucidate causal relationships underlying athletic traits (17,24).The transition from candidate gene approaches to hypothesis-free GWAS methodologies has marked a significant evolution in sports genomics. By reducing bias and expanding the scope of inquiry, this shift holds promise for uncovering novel genetic factors linked to traits like VO2max and injury susceptibility (25,26). Nonetheless, the field must address challenges such as data interpretation and the functional validation of identified genetic variants to ensure meaningful applications in sports contexts (24).The application of genomics raises important ethical considerations, particularly regarding data misuse, privacy concerns, and potential genetic discrimination (27). Athletes may face risks if sensitive information about their genetic predispositions is improperly disclosed or used to their detriment (28).Establishing clear ethical guidelines and robust policies is imperative for ensuring that genomics is applied responsibly and equitably in sports settings (29).Nutrigenomics, which examines the interaction between genetic variations and dietary needs, has demonstrated the potential for optimizing nutritional strategies based on individual genotypes (30)(31)(32). For example, the APOA2 genotype influences fatty acid metabolism, and specific dietary fat intakes can modify its effects, thereby affecting athletic performance (33,34). By identifying genotypes linked to nutrient processing efficiencies or sensitivities, practitioners can design diets that align with each athlete's metabolic profile. These approaches promise improvements in energy utilization, body composition, and overall performance, although robust validation through long-term, controlled studies remains necessary (35).Another example of the value of nutrigenomics is seen in individuals with genetic lactase nonpersistence, who exhibit altered gut microbiota and metabolite concentrations when consuming high amounts of milk (36,37). Tailoring dietary recommendations to avoid or limit lactose in such individuals not only mitigates discomfort but also enhances metabolic health and nutrient absorption (38). This precision approach exemplifies how genetic information can be used to refine nutritional guidance in ways that support both health and athletic performance, particularly through the modulation of gut microbiome function. Yet, further investigation is needed to establish standardized protocols for such applications (35).The identification of over 50,000 single nucleotide polymorphisms (SNPs) influencing cellular functions provides a vast dataset for crafting athlete-specific diets. These diets can address genetic predispositions impacting recovery, metabolism, and training adaptations. However, making this information actionable requires the development of user-friendly tools and platforms that can translate complex genetic data into practical recommendations for coaches and nutritionists (29,30).Nutrigenomics has also shown promise in optimizing macronutrient and micronutrient strategies for athletes. For instance, by identifying genetic susceptibilities to nutrient deficiencies, such as specific vitamin or mineral needs, tailored supplementation can be offered, potentially improving performance and recovery. Athletes with polymorphisms affecting vitamin D, iron, or folate metabolism may require personalized intake strategies to maintain optimal physiological status (38,39). This proactive approach can enhance immune function, reduce fatigue, and expedite recovery, offering competitive advantages. Nonetheless, the integration of these insights into sports nutrition programs is currently hindered by high testing costs and the lack of standardized implementation protocols across athletic organizations (40).Proteomics analyzes molecular-level changes in response to exercise, shedding light on the physiological processes involved in adaptation and recovery (41,42). The upregulation of proteins such as myoglobin and creatine kinase highlights their roles in muscle repair and immune response following intense activity (43). These findings provide a foundation for targeted nutritional and recovery interventions but require further research to elucidate how dietary factors can specifically modulate these protein responses (44).Salivary proteomic profiling has revealed a substantial increase in total salivary proteins after prolonged exertion, presenting a non-invasive method for assessing physical stress and recovery states (45,46). While promising, the applicability of salivary biomarkers in diverse athletic contexts needs further validation to establish their reliability and utility across different sporting disciplines (47).Exercise-induced modifications to protein structures, such as lysine acetylation, play crucial roles in regulating mitochondrial function and energy production, both essential for endurance performance (48). Understanding these molecular mechanisms can inform training programs aimed at enhancing mitochondrial efficiency; however, translating these insights into actionable recommendations for athletes is still in the early stages (49).Proteomic data has demonstrated how environmental factors, such as altitude, influence protein expression, enabling tailored strategies for athletes exposed to variable conditions (50,51) . For instance, specific dietary or training adaptations can be designed to mitigate performance declines at high altitudes. Integrating such insights into practice necessitates more comprehensive research on the interaction between environmental stressors and proteomic responses (52). Nutrition-centered proteomic studies have linked specific dietary interventions to enhanced recovery pathways in endurance athletes. These findings underscore the potential of proteomics to optimize performance; however, the development of cost-effective and scalable methods for analyzing proteomic data is critical for broader application in sports nutrition (7).Metabolomics has provided critical insights into metabolic responses during exercise, identifying key biomarkers like lactate and pyruvate that signal energy depletion (53,54). Nutritional strategies based on these biomarkers can enhance recovery by replenishing energy reserves more efficiently. However, standardization of analytical methods is necessary to ensure consistency across studies and practical applications (55). Post-exercise metabolomic profiling has identified changes in TCA cycle intermediates, ketone bodies, and lipid metabolites, which reflect recovery efficiency (56,57). These findings can inform targeted dietary interventions, but challenges like small sample sizes and variability in metabolic responses limit the generalizability of these results (58).The discovery of miR-532-5p as a biomarker for training adaptations demonstrates the potential of metabolomics to predict and monitor individual responses to exercise. While promising, the application of such biomarkers requires further validation to confirm their reliability and reproducibility in diverse athletic populations (59). Changes in metabolic pathways, such as shifts toward fatty acid metabolism and reduced glycolysis, are indicative of long-term adaptations to exercise that improve energy efficiency (60)(61)(62)(63). Precision nutrition strategies can leverage these insights to design training and dietary programs that maximize these benefits, though continued research is needed to optimize their integration (64). Lipidomics, a subset of metabolomics, has highlighted differential tissue-specific lipid metabolism responses to exercise, emphasizing the importance of tailoring endurance strategies based on individual metabolic profiles (56,65). However, the limited scalability of lipidomics due to cost and analytical requirements restricts its broader adoption (66).Multi-omics integration offers a holistic approach by combining datasets from genomics, proteomics, and metabolomics, among other fields, to derive a comprehensive understanding of athletic physiology (67)(68)(69)(70)(71). This approach supports the identification of precise, personalized interventions aimed at improving performance and health outcomes. The adoption of integrative platforms and emerging tools, such as OmicsAnalyst and artificial intelligence, facilitates the analysis of complex datasets, enabling improved precision in tailoring nutrition and training strategies (72,73). Yet, challenges such as ethical concerns, logistical hurdles, and data integration complexities persist, limiting the broader implementation of multi-omics approaches in real-world settings (74,75).Further highlighting the relevance of multi-omics, its role in individualized athlete monitoring is amplified by advancements in wearable technology and biosensors, which allow the real-time collection of metabolic and physiological data. Such technological innovations bridge the gap between laboratory-based analyses and everyday training environments, offering unprecedented opportunities for personalized interventions. However, the high costs and need for multidisciplinary cooperation to interpret these data remain substantial obstacles (76,77).The scalability of omics-based interventions remains a pressing issue, particularly given the limited accessibility of sophisticated technologies for amateur or under-resourced athletic groups.However, the potential for technological advancements, such as low-cost real-time monitoring systems, may gradually resolve these limitations, making precision nutrition more widely available. Continued efforts to improve the usability and affordability of multi-omics platforms will be vital in democratizing access to these tools, thereby broadening their impact across diverse athletic populations (78)(79)(80).Omics technologies offer potential for sports nutrition, but addressing challenges to data and ethical is essential for their research aimed at these limitations will be critical to the utility of omics-based precision nutrition in sports profiling during activity has identified significant changes in metabolite and which are critical for energy and mitochondrial function These metabolic shifts are particularly such as encountered at high altitudes. is a crucial in the acid a vital role in energy metabolism, while to and overall metabolic during physical nutritional strategies that these can be employed to optimize recovery and support performance during However, standardized methodologies for assessing these metabolite changes in diverse athletic populations remain limiting the broader applicability of such interventions. studies sample sizes and account for individual variability in response to metabolic stress to refine these approaches conditions further recovery as by metabolomic profiles that provide specific insights into nutritional requirements These conditions tailored recovery with a on dietary interventions aimed at the physiological by reduced For instance, training from intake to energy and reduce on protein for Despite these promising applications, the complexities of individual metabolic responses to underscore the need for personalized approaches and more analytical tools to support recommendations in wearable technology and allow for real-time analysis of biomarkers such as metabolites, offering on and These innovations athletes and their support to to and dietary improving training and outcomes. 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