Metabolomics in Exercise and Sports: A Systematic Review

Khoramipour, Kayvan; Sandbakk, Øyvind; Keshteli, Ammar Hassanzadeh; Gaeini, Abbas Ali; Wishart, David S.; Chamari, Karim

doi:10.1007/s40279-021-01582-y

Cited by 49 publications

(60 citation statements)

References 163 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Urine provides an alternative noninvasive matrix for the discovery of biomarkers 5 , 46 . "Albumin in urine is a critical marker in the assessment of kidney damage, but the diagnosis can be even more precise if the values of CysC and serum creatinine level are also associated with it" 47 .…”

Section: Discussionmentioning

confidence: 99%

“…Sportomics is a subject-centered holistic method that focuses on sports as the metabolic challenge 1 (for an editorial and reviews, see Bragazzi 2020; Bassini and Cameron 2014; Sellami et al 2022) 2 – 4 . In addition, the use of metabolomics is rapidly gaining space in understanding exercise and sports 5 . We have been utilizing sportomics and other in-field exercise models to understand hypermetabolic stress in health and disease 2 , 3 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sportomics suggests that albuminuria is a sensitive biomarker of hydration in cross combat

Gonçalves

Neto

Bassini

et al. 2022

Sci Rep

View full text Add to dashboard Cite

We have been using sportomics to understand hypermetabolic stress. Cross Combat (CCombat) has recently been initiated as a high-intensity functional training method inspired by CrossFit. We used a CCombat session to induce metabolic stress and evaluated its effects on hydration and kidney function. Blood samples were collected from 16 elite-level professional male athletes engaged in training sessions over a 96-h protocol. Blood myoglobin increased by ~ 3.5-fold (119 ± 21 to 369 ± 62 nmol/L; p = .001) in response to the protocol, returning to the pre-exercise level within 48 h. Furthermore, d-dimer levels increased from 6.5 ± 0.6 to 79.4 ± 21.3 μmol/L (p < .001) in response to exercise decreasing during recovery with high variability among the studied athletes. Albuminemia and creatininemia increased ~ 10% and cystatin C increased ~ 240% (1.7 ± 0.1 to 5.7 ± 0.5 mg/L; p < .001; effect size = 2.4) in response to the protocol. We measured albuminuria (HuA) to assess kidney permeability to albumin caused by exercise. HuA increased ~ 16-fold (0.16 ± 0.03 to 2.47 ± 0.41 μmol/L; p < .001; effect size = 1.4) in response to exercise, dropping and reaching basal levels during 48 h. Here, we suggest that microalbuminuria can be used as an early, sensitive, easy, and inexpensive biomarker to evaluate hydration status changes during intensive exercise, decreasing chronic impairment in renal function.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sportomics suggests that albuminuria is a sensitive biomarker of hydration in cross combat

Gonçalves

Neto

Bassini

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…In addition to the results presented, there are numerous other articles found in the literature that deal with metabolic changes in exercise [ 145 , 146 , 147 ] which shows the great potential of the method in the study of health and diseases and the impact of exercise intervention on metabolic pathways. However, the effects on the processes of cell proliferation, changes in gene activity can only be inadequately mapped.…”

Section: Metabolomicsmentioning

confidence: 96%

The Impact of Exercise on Telomere Length, DNA Methylation and Metabolic Footprints

Haupt

Niedrist

Sourij

et al. 2022

Cells

View full text Add to dashboard Cite

Aging as a major risk factor influences the probability of developing cancer, cardiovascular disease and diabetes, amongst others. The underlying mechanisms of disease are still not fully understood, but research suggests that delaying the aging process could ameliorate these pathologies. A key biological process in aging is cellular senescence which is associated with several stressors such as telomere shortening or enhanced DNA methylation. Telomere length as well as DNA methylation levels can be used as biological age predictors which are able to detect excessive acceleration or deceleration of aging. Analytical methods examining aging are often not suitable, expensive, time-consuming or require a high level of technical expertise. Therefore, research focusses on combining analytical methods which have the potential to simultaneously analyse epigenetic, genomic as well as metabolic changes.

show abstract

“…Recently, scholars have also assessed the epigenetics changes in athletes, establishing a new super-specialty termed as “sports epigenetics/epigenomics” ( Zimmer et al, 2016 ). Other biomarkers have been identified at the level of the metabolome ( Khoramipour et al, 2021 ), immunome ( Nieman and Pence, 2020 ) and microbiome ( Mohr et al, 2020 ), among others.…”

Section: Sports Sciences Exercise and Physical Activitymentioning

confidence: 99%

“…Finally, Khoramipour and others ( Khoramipour et al, 2021 ) were able to identify five major categories covered by sports and exercise metabolomics/metabonomics studies: namely, i) exercise metabolism; ii) exercise metabolism with focus on nutritional aspects; iii) sports metabolism; iv) exercise metabolism with an emphasis on clinical implications; and v) metabolome assessments and comparisons. Authors found that exercise metabolism was the research area most addressed by scholarly investigations, generally utilizing blood and urine samples but relying on untargeted, qualitative rather than targeted, quantitative platforms.…”

Section: Sports Proteomics and Metabolomics/metabonomicsmentioning

confidence: 99%

Molecular Big Data in Sports Sciences: State-of-Art and Future Prospects of OMICS-Based Sports Sciences

Sellami

Elrayess

Puce

et al. 2022

Front. Mol. Biosci.

View full text Add to dashboard Cite

Together with environment and experience (that is to say, diet and training), the biological and genetic make-up of an athlete plays a major role in exercise physiology. Sports genomics has shown, indeed, that some DNA single nucleotide polymorphisms (SNPs) can be associated with athlete performance and level (such as elite/world-class athletic status), having an impact on physical activity behavior, endurance, strength, power, speed, flexibility, energetic expenditure, neuromuscular coordination, metabolic and cardio-respiratory fitness, among others, as well as with psychological traits. Athletic phenotype is complex and depends on the combination of different traits and characteristics: as such, it requires a “complex science,” like that of metadata and multi-OMICS profiles. Several projects and trials (like ELITE, GAMES, Gene SMART, GENESIS, and POWERGENE) are aimed at discovering genomics-based biomarkers with an adequate predictive power. Sports genomics could enable to optimize and maximize physical performance, as well as it could predict the risk of sports-related injuries. Exercise has a profound impact on proteome too. Proteomics can assess both from a qualitative and quantitative point of view the modifications induced by training. Recently, scholars have assessed the epigenetics changes in athletes. Summarizing, the different omics specialties seem to converge in a unique approach, termed sportomics or athlomics and defined as a “holistic and top-down,” “non-hypothesis-driven research on an individual’s metabolite changes during sports and exercise” (the Athlome Project Consortium and the Santorini Declaration) Not only sportomics includes metabonomics/metabolomics, but relying on the athlete’s biological passport or profile, it would enable the systematic study of sports-induced changes and effects at any level (genome, transcriptome, proteome, etc.). However, the wealth of data is so huge and massive and heterogenous that new computational algorithms and protocols are needed, more computational power is required as well as new strategies for properly and effectively combining and integrating data.

show abstract

Metabolomics in Exercise and Sports: A Systematic Review

Cited by 49 publications

References 163 publications

Sportomics suggests that albuminuria is a sensitive biomarker of hydration in cross combat

Sportomics suggests that albuminuria is a sensitive biomarker of hydration in cross combat

The Impact of Exercise on Telomere Length, DNA Methylation and Metabolic Footprints

Molecular Big Data in Sports Sciences: State-of-Art and Future Prospects of OMICS-Based Sports Sciences

Contact Info

Product

Resources

About