Human plasma proteomic profiles indicative of cardiorespiratory fitness

Robbins, Jeremy; Peterson, Bennet; Schranner, Daniela; Tahir, Usman A.; Rienmüller, Theresa Margarethe; Deng, Shuliang; Keyes, Michelle J.; Katz, Daniel H.; Beltran, Pierre M. Jean; Barber, Jacob L.; Baumgartner, Christian; Carr, Steven A.; Ghosh, Sujoy; Shen, Changyu; Jennings, Lori L.; Ross, Robert; Sarzynski, Mark A.; Bouchard, Claude; Gerszten, Robert E.

doi:10.1038/s42255-021-00400-z

Cited by 48 publications

(74 citation statements)

References 67 publications

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“…The plasma proteomic profile of V̇O 2max was further refined in analyses that characterized proteins associated with baseline V̇O 2max and changes in V̇O 2max in response to training in more than 650 subjects ( 272 ). After adjustment for age, sex, BMI, and ethnicity, 147 circulating proteins were associated with baseline V̇O 2max (Fig.…”

Section: Proteomic Studiesmentioning

confidence: 99%

“… Plasma proteins positively and negatively associated with baseline V̇O 2max ( left panel ) and change in V̇O 2max ( right panel ) adjusted for age, sex, ethnicity, and BMI in HERITAGE. Reproduced with permission from Robbins et al ( 272 ). …”

Section: Proteomic Studiesmentioning

confidence: 99%

“…Lastly, the association of V̇O 2max -related proteins with mortality was examined in the Framingham Offspring Study. It was found that 12 proteins associated with baseline V̇O 2max and 9 proteins associated with change in V̇O 2max were associated with incident all-cause mortality (false discovery rate q < 0.1) ( 272 ).…”

Section: Proteomic Studiesmentioning

confidence: 99%

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The HERITAGE Family Study: A Review of the Effects of Exercise Training on Cardiometabolic Health, with Insights into Molecular Transducers

Sarzynski

Rice

Després

et al. 2022

Medicine &Amp; Science in Sports &Amp; Exercise

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The aim of the HERITAGE Family Study was to investigate individual differences in response to a standardized endurance exercise program, the role of familial aggregation, and the genetics of response levels of cardiorespiratory fitness and cardiovascular disease and diabetes risk factors. Here we summarize the findings and their potential implications for cardiometabolic health and cardiorespiratory fitness. It begins with overviews of background and planning, recruitment, testing and exercise program protocol, quality control measures, and other relevant organizational issues. A summary of findings is then provided on cardiorespiratory fitness, exercise hemodynamics, insulin and glucose metabolism, lipid and lipoprotein profiles, adiposity and abdominal visceral fat, blood levels of steroids and other hormones, markers of oxidative stress, skeletal muscle morphology and metabolic indicators, and resting metabolic rate. These summaries document the extent of the individual differences in response to a standardized and fully monitored endurance exercise program and document the importance of familial aggregation and heritability level for exercise response traits. Findings from genomic markers, muscle gene expression studies, and proteomic and metabolomics explorations are reviewed, along with lessons learned from a bioinformatics-driven analysis pipeline. The new opportunities being pursued in integrative -omics and physiology have extended considerably the expected life of HERITAGE and are being discussed in relation to the original conceptual model of the study.

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Section: Proteomic Studiesmentioning

confidence: 99%

Section: Proteomic Studiesmentioning

confidence: 99%

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The HERITAGE Family Study: A Review of the Effects of Exercise Training on Cardiometabolic Health, with Insights into Molecular Transducers

Sarzynski

Rice

Després

et al. 2022

Medicine &Amp; Science in Sports &Amp; Exercise

Self Cite

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“…Nonetheless, studies linking genotype and SNPs to cardiorespiratory fitness and other related attributes such as exercise training responses and exercise-induced changes in cardiometabolic risk factors have failed to produce definitive panels that could be used by DTC companies (27,(29)(30)(31). The use of global metabolomics and proteomics profiling as correlates of cardiorespiratory fitness has only recently been explored and these are best described as preliminary studies (32,33).…”

Section: Precision Nutrition For Athletes and Physically Active Individualsmentioning

confidence: 99%

Multiomics Approach to Precision Sports Nutrition: Limits, Challenges, and Possibilities

Nieman

2021

Front. Nutr.

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Most sports nutrition guidelines are based on group average responses and professional opinion. Precision nutrition for athletes aims to improve the individualization of nutrition practices to optimize long-term performance and health. This is a 2-step process that first involves the acquisition of individual-specific, science-based information using a variety of sources including lifestyle and medical histories, dietary assessment, physiological assessments from the performance lab and wearable sensors, and multiomics data from blood, urine, saliva, and stool samples. The second step consists of the delivery of science-based nutrition advice, behavior change support, and the monitoring of health and performance efficacy and benefits relative to cost. Individuals vary widely in the way they respond to exercise and nutritional interventions, and understanding why this metabolic heterogeneity exists is critical for further advances in precision nutrition. Another major challenge is the development of evidence-based individualized nutrition recommendations that are embraced and efficacious for athletes seeking the most effective enhancement of performance, metabolic recovery, and health. At this time precision sports nutrition is an emerging discipline that will require continued technological and scientific advances before this approach becomes accurate and practical for athletes and fitness enthusiasts at the small group or individual level. The costs and scientific challenges appear formidable, but what is already being achieved today in precision nutrition through multiomics and sensor technology seemed impossible just two decades ago.

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“…In the past decade, with the technological advance of the comprehensive methods that make up the omic sciences (Tanaka et al, 2016 ; Kelly et al, 2020 ) new opportunities to investigate the integrative mechanisms of the variability of individual CRF responses to exercise have emerged (Sanford et al, 2020 ). So far, there are few genomic (Bouchard et al, 2011 ; Sarzynski et al, 2017 ; Williams et al, 2021 ), proteomic (Robbins et al, 2021 ), transcriptomic (Timmons et al, 2010 ; Keller et al, 2011 ; Dias et al, 2015 ) and metabolomic (Lewis et al, 2010 ; Huffman et al, 2014 ; Castro A., et al, 2019 ) studies involving the use of omic methods to study the variability of responses to exercise.…”

Section: Introductionmentioning

confidence: 99%

Association Between Changes in Serum and Skeletal Muscle Metabolomics Profile With Maximum Power Output Gains in Response to Different Aerobic Training Programs: The Times Study

et al. 2021

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Purpose: High heterogeneity of the response of cardiorespiratory fitness (CRF) to standardized exercise doses has been reported in different training programs, but the associated mechanisms are not widely known. This study investigated whether changes in the metabolic profile and pathways in blood serum and the skeletal muscle are associated with the inter-individual variability of CRF responses to 8-wk of continuous endurance training (ET) or high-intensity interval training (HIIT).Methods: Eighty men, young and sedentary, were randomized into three groups, of which 70 completed 8 wk of intervention (> 90% of sessions): ET, HIIT, or control. Blood and vastus lateralis muscle tissue samples, as well as the measurement of CRF [maximal power output (MPO)] were obtained before and after the intervention. Blood serum and skeletal muscle samples were analyzed by 600 MHz 1H-NMR spectroscopy (metabolomics). Associations between the pretraining to post-training changes in the metabolic profile and MPO gains were explored via three analytical approaches: (1) correlation between pretraining to post-training changes in metabolites' concentration levels and MPO gains; (2) significant differences between low and high MPO responders; and (3) metabolite contribution to significantly altered pathways related to MPO gains. After, metabolites within these three levels of evidence were analyzed by multiple stepwise linear regression. The significance level was set at 1%.Results: The metabolomics profile panel yielded 43 serum and 70 muscle metabolites. From the metabolites within the three levels of evidence (15 serum and 4 muscle metabolites for ET; 5 serum and 1 muscle metabolites for HIIT), the variance in MPO gains was explained: 77.4% by the intervention effects, 6.9, 2.3, 3.2, and 2.2% by changes in skeletal muscle pyruvate and valine, serum glutamine and creatine phosphate, respectively, in ET; and 80.9% by the intervention effects; 7.2, 2.2, and 1.2% by changes in skeletal muscle glycolate, serum creatine and creatine phosphate, respectively, in HIIT. The most changed and impacted pathways by these metabolites were: arginine and proline metabolism, glycine, serine and threonine metabolism, and glyoxylate and dicarboxylate metabolism for both ET and HIIT programs; and additional alanine, aspartate and glutamate metabolism, arginine biosynthesis, glycolysis/gluconeogenesis, and pyruvate metabolism for ET.Conclusion: These results suggest that regulating the metabolism of amino acids and carbohydrates may be a potential mechanism for understanding the inter-individual variability of CRF in responses to ET and HIIT programs.

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Human plasma proteomic profiles indicative of cardiorespiratory fitness

Cited by 48 publications

References 67 publications

The HERITAGE Family Study: A Review of the Effects of Exercise Training on Cardiometabolic Health, with Insights into Molecular Transducers

The HERITAGE Family Study: A Review of the Effects of Exercise Training on Cardiometabolic Health, with Insights into Molecular Transducers

Multiomics Approach to Precision Sports Nutrition: Limits, Challenges, and Possibilities

Association Between Changes in Serum and Skeletal Muscle Metabolomics Profile With Maximum Power Output Gains in Response to Different Aerobic Training Programs: The Times Study

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