Personalized Metabolomics for Predicting Glucose Tolerance Changes in Sedentary Women After High-Intensity Interval Training

Kuehnbaum, Naomi L.; Gillen, Jenna B.; Gibala, Martin J.; Britz‐McKibbin, Philip

doi:10.1038/srep06166

Cited by 44 publications

(42 citation statements)

References 57 publications

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“…Metabolomic investigation of the effect of exercise can shed light on the underlying biochemistry, promoting the understanding of the body’s response to the perturbation caused by exercise [21,22,23], which could translate into personalized exercise prescription for individuals with cardiometabolic risk factors. Exercise metabolomic studies so far have investigated isolated aspects of MetS, such as obesity [24,25] and insulin sensitivity [26,27,28], but not MetS as a clinical entity.…”

Section: Introductionmentioning

confidence: 99%

Effects of Different Exercise Modes on the Urinary Metabolic Fingerprint of Men with and without Metabolic Syndrome

et al. 2017

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Exercise is important in the prevention and treatment of the metabolic syndrome (MetS), a cluster of risk factors that raises morbidity. Metabolomics can facilitate the optimization of exercise prescription. This study aimed to investigate whether the response of the human urinary metabolic fingerprint to exercise depends on the presence of MetS or exercise mode. Twenty-three sedentary men (MetS, n = 9, and Healthy, n = 14) completed four trials: resting, high-intensity interval exercise (HIIE), continuous moderate-intensity exercise (CME), and resistance exercise (RE). Urine samples were collected pre-exercise and at 2, 4, and 24 h for targeted analysis by liquid chromatography-mass spectrometry. Time exerted the strongest differentiating effect, followed by exercise mode and health status. The greatest changes were observed in the first post-exercise samples, with a gradual return to baseline at 24 h. RE caused the greatest responses overall, followed by HIIE, while CME had minimal effect. The metabolic fingerprints of the two groups were separated at 2 h, after HIIE and RE; and at 4 h, after HIIE, with evidence of blunted response to exercise in MetS. Our findings show diverse responses of the urinary metabolic fingerprint to different exercise modes in men with and without metabolic syndrome.

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Section: Introductionmentioning

confidence: 99%

Effects of Different Exercise Modes on the Urinary Metabolic Fingerprint of Men with and without Metabolic Syndrome

et al. 2017

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“…The physiological [17] and metabolic [18] alterations derived from training are well-established and there are several studies which investigated these through a metabolic profiling approach. In both humans [19,20,21,22,23,24] and rodents [25,26,27,28,29,30,31,32,33,34], metabolomics-based studies decipher changes in amino acids, carbohydrates’ metabolism, Krebs cycle and lipids’ metabolism and other intermediates of biochemical pathways featured as energy providers. These findings on altered metabolism derived from exercise on humans were recently reviewed [35].…”

Section: Introductionmentioning

confidence: 99%

Impact of Exercise and Aging on Rat Urine and Blood Metabolome. An LC-MS Based Metabolomics Longitudinal Study

et al. 2017

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Aging is an inevitable condition leading to health deterioration and death. Regular physical exercise can moderate the metabolic phenotype changes of aging. However, only a small number of metabolomics-based studies provide data on the effect of exercise along with aging. Here, urine and whole blood samples from Wistar rats were analyzed in a longitudinal study to explore metabolic alterations due to exercise and aging. The study comprised three different programs of exercises, including a life-long protocol which started at the age of 5 months and ended at the age of 21 months. An acute exercise session was also evaluated. Urine and whole blood samples were collected at different time points and were analyzed by LC-MS/MS (Liquid Chromatography–tandem Mass Spectrometry). Based on their metabolic profiles, samples from trained and sedentary rats were differentiated. The impact on the metabolome was found to depend on the length of exercise period with acute exercise also showing significant changes. Metabolic alterations due to aging were equally pronounced in sedentary and trained rats in both urine and blood analyzed samples.

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“…Metabolomics applications to human exercise have become more prevalent with improved global and targeted detection capabilities using MS and nuclear magnetic resonance (NMR) spectroscopy. Recent applications of metabolomics have uncovered metabolic networks impacted by high-intensity interval training programs (Kuehnbaum et al 2014;Peake et al 2014). Insights into branched-chain amino acid metabolism in response to resistance training have also been revealed from metabolomics analysis of skeletal muscle biopsies from healthy and frail older subjects , as well as plasma from overweight subjects following resistance and endurance training (Glynn et al 2015).…”

Section: Metabolome and Lipidomementioning

confidence: 99%

Omics and Exercise: Global Approaches for Mapping Exercise Biological Networks

Hoffman

2017

Cold Spring Harb Perspect Med

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The application of global "-omics" technologies to exercise has introduced new opportunities to map the complexity and interconnectedness of biological networks underlying the tissue-specific responses and systemic health benefits of exercise. This review will introduce major research tracks and recent advancements in this emerging field, as well as critical gaps in understanding the orchestration of molecular exercise dynamics that will benefit from unbiased omics investigations. Furthermore, significant research hurdles that need to be overcome to effectively fill these gaps related to data collection, computation, interpretation, and integration across omics applications will be discussed. Collectively, a cross-disciplinary physiological and omics-based systems approach will lead to discovery of a wealth of novel exercise-regulated targets for future mechanistic validation. This frontier in exercise biology will aid the development of personalized therapeutic strategies to improve athletic performance and human health through precision exercise medicine.T he dynamic human physiological responses to exercise have been widely studied in the context of metabolism and mechanical stress. Health benefits of exercise in prevention, delay, and/or treatment of pathophysiology associated with metabolic disorders and aging are widely appreciated. However, the intricacies of molecular networks and biological mechanisms underlying how humans adapt to exercise and acquire health benefits are not fully understood. In response to perturbations in whole-body homeostasis induced by physical activity and exercise, biological networks are stimulated in various cell types and organs to manage systemic metabolic and mechanical demands (Hawley et al. 2014). Targeted, reductionist-based approaches have laid the foundation for our understanding of distinct biological mechanisms regulating acute versus repeated exercise adaptations using a range of experimental models from cells to animals and humans. However, the complexity and integrated nature of the whole-body exercise response warrants global unbiased systems approaches to unravel the interwoven networks underlying the benefits of exercise in health and disease.In this early stage of the exercise and omics revolution, there is a wealth of molecular information now within reach to help build on our understanding of human metabolism and exercise physiology. There is tremendous potential for omics approaches to fill critical gaps in our

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Personalized Metabolomics for Predicting Glucose Tolerance Changes in Sedentary Women After High-Intensity Interval Training

Cited by 44 publications

References 57 publications

Effects of Different Exercise Modes on the Urinary Metabolic Fingerprint of Men with and without Metabolic Syndrome

Effects of Different Exercise Modes on the Urinary Metabolic Fingerprint of Men with and without Metabolic Syndrome

Impact of Exercise and Aging on Rat Urine and Blood Metabolome. An LC-MS Based Metabolomics Longitudinal Study

Omics and Exercise: Global Approaches for Mapping Exercise Biological Networks

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