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Maravi JSM, Leszczynski EC, Schwartz CS, Dev PK, Barber JL, Reasons RJ, Pearce RW, McPhaul MJ, Konrad RJ, Robbins JM, Gerszten RE, Collier TS, Bouchard C, Rohatgi A, Sarzynski MA. Associations of an HDL apolipoproteomic index with cardiometabolic risk factors before and after exercise training in the HERITAGE Family Study. Atherosclerosis 2024; 395:117587. [PMID: 38823353 PMCID: PMC11254543 DOI: 10.1016/j.atherosclerosis.2024.117587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND AND AIMS Previous studies have derived and validated an HDL apolipoproteomic score (pCAD) that predicts coronary artery disease (CAD) risk. However, the associations between pCAD and markers of cardiometabolic health in healthy adults are not known, nor are the effects of regular exercise on pCAD. METHODS A total of 641 physically inactive adults free of cardiovascular disease from the HERITAGE Family Study completed 20 weeks of exercise training. The pCAD index (range 0-100) was calculated using measurements of apolipoproteins A-I, C-I, C-II, C-III, and C-IV from ApoA-I-tagged serum (higher index = higher CAD risk). The associations between pCAD index and cardiometabolic traits at baseline and their training responses were assessed with Spearman correlation and general linear models. A Bonferroni correction of p < 8.9 × 10-04 was used to determine statistical significance. RESULTS The mean ± SD baseline pCAD index was 29 ± 32, with 106 (16.5 %) participants classified as high CAD risk. At baseline, pCAD index was positively associated with blood pressure, systemic inflammation, and body composition. HDL size, VO2max, and HDL-C were negatively associated with pCAD index at baseline. Of those classified as high CAD risk at baseline, 52 (49 %) were reclassified as normal risk after training. Following training, pCAD index changes were inversely correlated (p < 1.4 × 10-04) with changes in HDL-C, HDL size, and LDL size. CONCLUSIONS A higher pCAD index was associated with a worse cardiometabolic profile at baseline but improved with regular exercise. The results from this study highlight the potential role of HDL apolipoproteins as therapeutic targets for lifestyle interventions, particularly in high-risk individuals.
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Affiliation(s)
| | | | | | - Prasun K. Dev
- Department of Exercise Science, University of South Carolina, Columbia, SC
| | - Jacob L. Barber
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA
| | - Riley J. Reasons
- Department of Exercise Science, University of South Carolina, Columbia, SC
| | - Ryan W. Pearce
- Quest Diagnostics Cardiometabolic Center of Excellence at Cleveland HeartLab, Cleveland, OH
| | - Michael J. McPhaul
- Quest Diagnostics Cardiometabolic Center of Excellence at Cleveland HeartLab, Cleveland, OH
| | - Robert J. Konrad
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA
| | - Jeremy M. Robbins
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Robert E. Gerszten
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Timothy S. Collier
- Quest Diagnostics Cardiometabolic Center of Excellence at Cleveland HeartLab, Cleveland, OH
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
| | - Anand Rohatgi
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX
| | - Mark A. Sarzynski
- Department of Exercise Science, University of South Carolina, Columbia, SC
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Yang X, Li Y, Mei T, Duan J, Yan X, McNaughton LR, He Z. Genome-wide association study of exercise-induced skeletal muscle hypertrophy and the construction of predictive model. Physiol Genomics 2024; 56:578-589. [PMID: 38881426 DOI: 10.1152/physiolgenomics.00019.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 05/21/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024] Open
Abstract
The aim of the current study was to investigate interindividual differences in muscle thickness of the rectus femoris (MTRF) following 12 wk of resistance training (RT) or high-intensity interval training (HIIT) to explore the genetic architecture underlying skeletal muscle hypertrophy and to construct predictive models. We conducted musculoskeletal ultrasound assessments of the MTRF response in 440 physically inactive adults after the 12-wk exercise period. A genome-wide association study was used to identify variants associated with the MTRF response, separately for RT and HIIT. Using the polygenic predictor score (PPS), we estimated the genetic contribution to exercise-induced hypertrophy. Predictive models for the MTRF response were constructed using random forest (RF), support vector mac (SVM), and generalized linear model (GLM) in 10 cross-validated approaches. MTRF increased significantly after both RT (8.8%, P < 0.05) and HIIT (5.3%, P < 0.05), but with considerable interindividual differences (RT: -13.5 to 38.4%, HIIT: -14.2 to 30.7%). Eleven lead single-nucleotide polymorphisms in RT and eight lead single-nucleotide polymorphisms in HIIT were identified at a significance level of P < 1 × 10-5. The PPS was associated with the MTRF response, explaining 47.2% of the variation in response to RT and 38.3% of the variation in response to HIIT. Notably, the GLM and SVM predictive models exhibited superior performance compared with RF models (P < 0.05), and the GLM demonstrated optimal performance with an area under curve of 0.809 (95% confidence interval: 0.669-0.949). Factors such as PPS, baseline MTRF, and exercise protocol exerted influence on the MTRF response to exercise, with PPS being the primary contributor. The GLM and SVM predictive model, incorporating both genetic and phenotypic factors, emerged as promising tools for predicting exercise-induced skeletal muscle hypertrophy.NEW & NOTEWORTHY The interindividual variability induced muscle hypertrophy by resistance training (RT) or high-intensity interval training (HIIT) and the associated genetic architecture remain uncertain. We identified genetic variants that underlie RT- or HIIT-induced muscle hypertrophy and established them as pivotal factors influencing the response regardless of the training type. The genetic-phenotype predictive model developed has the potential to identify nonresponders or individuals with low responsiveness before engaging in exercise training.
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Affiliation(s)
- Xiaolin Yang
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
- Key Laboratory for Performance Training and Recovery of General Administration of Sport, Beijing Sport University, Beijing, China
| | - Yanchun Li
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
- Key Laboratory for Performance Training and Recovery of General Administration of Sport, Beijing Sport University, Beijing, China
| | - Tao Mei
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
- Key Laboratory for Performance Training and Recovery of General Administration of Sport, Beijing Sport University, Beijing, China
| | - Jiayan Duan
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
| | - Xu Yan
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
- Regenerative Medicine and Stem Cells Program, Australian Institute for Musculoskeletal Science, St Albans, Victoria, Australia
| | - Lars Robert McNaughton
- Sport Performance, Exercise and Nutrition Research Group, Department of Sport and Physical Activity, Edge Hill University, Ormskirk, United Kingdom
| | - Zihong He
- Biology Center, China Institute of Sport Science, Beijing, China
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Nylén E. Age, Race, Sex and Cardiorespiratory Fitness: Implications for Prevention and Management of Cardiometabolic Disease in Individuals with Diabetes Mellitus. Rev Cardiovasc Med 2024; 25:263. [PMID: 39139417 PMCID: PMC11317329 DOI: 10.31083/j.rcm2507263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/19/2024] [Accepted: 04/24/2024] [Indexed: 08/15/2024] Open
Abstract
Physical inactivity and poor cardiorespiratory fitness (CRF) are strongly associated with type 2 diabetes (DM2) and all-cause and cardiovascular morbidity and mortality. Incorporating physical activity promotion in the management of DM2 has been a pivotal approach modulating the underlying pathophysiology of DM2 of increased insulin resistance, endothelial dysfunction, and abnormal mitochondrial function. Although CRF is considered a modifiable risk factor, certain immutable aspects such as age, race, and gender impact CRF status and is the focus of this review. Results show that diabetes has often been considered a disease of premature aging manifested by early onset of macro and microvascular deterioration with underlying negative impact on CRF and influencing next generation. Certain races such as Native Americans and African Americans show reduced baseline CRF and decreased gain in CRF in randomized trials. Moreover, multiple biological gender differences translate to lower baseline CRF and muted responsivity to exercise in women with increased morbidity and mortality. Although factors such as age, race, and sex may not have major impacts on CRF their influence should be considered with the aim of optimizing precision medicine.
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Affiliation(s)
- Eric Nylén
- Veterans Affairs Medical Center, Washington, D.C. 20422, USA
- George Washington University School of Medicine, Washington, D.C. 20037, USA
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4
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Ni D, Kokkinos P, Nylen ES. Glucagon-Like Peptide-1 Receptor Agonists and Sodium Glucose Cotransporter-2 Inhibitors and Cardiorespiratory Fitness Interaction. Mil Med 2024:usae311. [PMID: 38870042 DOI: 10.1093/milmed/usae311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 05/13/2024] [Accepted: 06/04/2024] [Indexed: 06/15/2024] Open
Abstract
INTRODUCTION Cardiorespiratory fitness (CRF) is a stronger predictor of mortality than traditional risk factors and is a neglected vital sign of health. Enhanced fitness is a cornerstone in diabetes management and is most often delivered concurrently with pharmacological agents, which can have an opposing impact, as has been reported with metformin. Considering the rapid evolution of diabetes medications with improved cardiovascular outcomes, such as glucagon-like peptide-1 receptor agonists and sodium glucose cotransporter-2 inhibitors, it is of importance to consider the influence of these vis-a-vis effects on CRF. MATERIALS AND METHODS Combining the words glucagon-like peptide-1 receptor agonists and sodium glucose cotransporter-2 inhibitors with cardiorespiratory fitness, an online search was done using PubMed, Embase, Scopus, Web of Science, Scientific Electronic Library Online, and Cochrane. RESULTS There were only a few randomized controlled studies that included CRF, and the results were mostly neutral. A handful of smaller studies detected improved CRF using sodium glucose cotransporter-2 inhibitors in patients with congestive heart failure. CONCLUSIONS Since CRF is a superior prognosticator for cardiovascular outcomes and both medications can cause lean muscle mass loss, the current review highlights the paucity of relevant interactive analysis.
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Affiliation(s)
- David Ni
- Department of Endocrinology, VAMC, Washington, DC 20422, USA
| | - Peter Kokkinos
- Department of Cardiology, VAMC, Washington, DC 20422, USA
- Department of Kinesiology and Health, School of Arts and Sciences, Rutgers University, Newark, NJ 07103, USA
- Department of Kinesiology, George Washington University School of Medicine and Health Sciences, Washington, DC 20037, USA
| | - Eric S Nylen
- Department of Endocrinology, VAMC, Washington, DC 20422, USA
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Carrard J, Hofer M, Prechtl L, Fleischlin E, Huber M, Gallart-Ayala H, Teav T, Infanger D, Höchsmann C, Koehler K, Hinrichs T, Hanssen H, Ivanisevic J, Schmidt-Trucksäss A. Effect of an eight-week high-intensity interval training programme on circulating sphingolipid levels in middle-aged adults at elevated cardiometabolic risk (SphingoFIT)-Protocol for a randomised controlled exercise trial. PLoS One 2024; 19:e0302477. [PMID: 38717997 PMCID: PMC11078397 DOI: 10.1371/journal.pone.0302477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Accepted: 04/03/2024] [Indexed: 05/12/2024] Open
Abstract
INTRODUCTION Evidence indicates that sphingolipid accumulation drives complex molecular alterations promoting cardiometabolic diseases. Clinically, it was shown that sphingolipids predict cardiometabolic risk independently of and beyond traditional biomarkers such as low-density lipoprotein cholesterol. To date, little is known about therapeutic modalities to lower sphingolipid levels. Exercise, a powerful means to prevent and treat cardiometabolic diseases, is a promising modality to mitigate sphingolipid levels in a cost-effective, safe, and patient-empowering manner. METHODS This randomised controlled trial will explore whether and to what extent an 8-week fitness-enhancing training programme can lower serum sphingolipid levels of middle-aged adults at elevated cardiometabolic risk (n = 98, 50% females). The exercise intervention will consist of supervised high-intensity interval training (three sessions weekly), while the control group will receive physical activity counselling based on current guidelines. Blood will be sampled early in the morning in a fasted state before and after the 8-week programme. Participants will be provided with individualised, pre-packaged meals for the two days preceding blood sampling to minimise potential confounding. An 'omic-scale sphingolipid profiling, using high-coverage reversed-phase liquid chromatography coupled to tandem mass spectrometry, will be applied to capture the circulating sphingolipidome. Maximal cardiopulmonary exercise tests will be performed before and after the 8-week programme to assess patient fitness changes. Cholesterol, triglycerides, glycated haemoglobin, the homeostatic model assessment for insulin resistance, static retinal vessel analysis, flow-mediated dilatation, and strain analysis of the heart cavities will also be assessed pre- and post-intervention. This study shall inform whether and to what extent exercise can be used as an evidence-based treatment to lower circulating sphingolipid levels. TRIAL REGISTRATION The trial was registered on www.clinicaltrials.gov (NCT06024291) on August 28, 2023.
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Affiliation(s)
- Justin Carrard
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
- SportAdo Centre, Children and Adolescent Surgery, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Manuel Hofer
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Luisa Prechtl
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Eva Fleischlin
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Manuel Huber
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Hector Gallart-Ayala
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Tony Teav
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Denis Infanger
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Christoph Höchsmann
- Department of Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Karsten Koehler
- Department of Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Timo Hinrichs
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Henner Hanssen
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Julijana Ivanisevic
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Arno Schmidt-Trucksäss
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
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Noone J, Mucinski JM, DeLany JP, Sparks LM, Goodpaster BH. Understanding the variation in exercise responses to guide personalized physical activity prescriptions. Cell Metab 2024; 36:702-724. [PMID: 38262420 DOI: 10.1016/j.cmet.2023.12.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/11/2023] [Accepted: 12/20/2023] [Indexed: 01/25/2024]
Abstract
Understanding the factors that contribute to exercise response variation is the first step in achieving the goal of developing personalized exercise prescriptions. This review discusses the key molecular and other mechanistic factors, both extrinsic and intrinsic, that influence exercise responses and health outcomes. Extrinsic characteristics include the timing and dose of exercise, circadian rhythms, sleep habits, dietary interactions, and medication use, whereas intrinsic factors such as sex, age, hormonal status, race/ethnicity, and genetics are also integral. The molecular transducers of exercise (i.e., genomic/epigenomic, proteomic/post-translational, transcriptomic, metabolic/metabolomic, and lipidomic elements) are considered with respect to variability in physiological and health outcomes. Finally, this review highlights the current challenges that impede our ability to develop effective personalized exercise prescriptions. The Molecular Transducers of Physical Activity Consortium (MoTrPAC) aims to fill significant gaps in the understanding of exercise response variability, yet further investigations are needed to address additional health outcomes across all populations.
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Affiliation(s)
- John Noone
- Translational Research Institute, AdventHealth, Orlando, FL 32804, USA
| | | | - James P DeLany
- Translational Research Institute, AdventHealth, Orlando, FL 32804, USA
| | - Lauren M Sparks
- Translational Research Institute, AdventHealth, Orlando, FL 32804, USA
| | - Bret H Goodpaster
- Translational Research Institute, AdventHealth, Orlando, FL 32804, USA.
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Hoffmann WG, Chen YQ, Schwartz CS, Barber JL, Dev PK, Reasons RJ, Miranda Maravi JS, Armstrong B, Gerszten RE, Silbernagel G, Konrad RJ, Bouchard C, Sarzynski MA. Effects of exercise training on ANGPTL3/8 and ANGPTL4/8 and their associations with cardiometabolic traits. J Lipid Res 2024; 65:100495. [PMID: 38160757 PMCID: PMC10832466 DOI: 10.1016/j.jlr.2023.100495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 12/20/2023] [Accepted: 12/27/2023] [Indexed: 01/03/2024] Open
Abstract
Angiopoietin-like protein (ANGPTL) complexes 3/8 and 4/8 are established inhibitors of LPL and novel therapeutic targets for dyslipidemia. However, the effects of regular exercise on ANGPTL3/8 and ANGPTL4/8 are unknown. We characterized ANGPTL3/8 and ANGPTL4/8 and their relationship with in vivo measurements of lipase activities and cardiometabolic traits before and after a 5-month endurance exercise training intervention in 642 adults from the HERITAGE (HEalth, RIsk factors, exercise Training And GEnetics) Family Study. At baseline, higher levels of both ANGPTL3/8 and ANGPTL4/8 were associated with a worse lipid, lipoprotein, and cardiometabolic profile, with only ANGPTL3/8 associated with postheparin LPL and HL activities. ANGPTL3/8 significantly decreased with exercise training, which corresponded with increases in LPL activity and decreases in HL activity, plasma triglycerides, apoB, visceral fat, and fasting insulin (all P < 5.1 × 10-4). Exercise-induced changes in ANGPTL4/8 were directly correlated to concomitant changes in total cholesterol, LDL-C, apoB, and HDL-triglycerides and inversely related to change in insulin sensitivity index (all P < 7.0 × 10-4). In conclusion, exercise-induced decreases in ANGPTL3/8 and ANGPTL4/8 were related to concomitant improvements in lipase activity, lipid profile, and cardiometabolic risk factors. These findings reveal the ANGPTL3-4-8 model as a potential molecular mechanism contributing to adaptations in lipid metabolism in response to exercise training.
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Affiliation(s)
| | - Yan Q Chen
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA
| | - Charles S Schwartz
- Department of Exercise Science, University of South Carolina, Columbia, SC, USA
| | - Jacob L Barber
- Department of Exercise Science, University of South Carolina, Columbia, SC, USA; Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Prasun K Dev
- Department of Exercise Science, University of South Carolina, Columbia, SC, USA
| | - Riley J Reasons
- Department of Exercise Science, University of South Carolina, Columbia, SC, USA
| | | | - Bridget Armstrong
- Department of Exercise Science, University of South Carolina, Columbia, SC, USA
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Günther Silbernagel
- Division of Vascular Medicine, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Robert J Konrad
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Mark A Sarzynski
- Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
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Guo J, Fraser BJ, Blizzard L, Schmidt MD, Dwyer T, Venn AJ, Magnussen CG. Tracking of Cardiorespiratory Fitness from Childhood to Mid-adulthood. J Pediatr 2024; 264:113778. [PMID: 37848085 DOI: 10.1016/j.jpeds.2023.113778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 09/22/2023] [Accepted: 10/11/2023] [Indexed: 10/19/2023]
Abstract
High cardiorespiratory fitness (CRF) in adulthood is important for survival from major chronic diseases and preserving good health. We examined how childhood CRF tracks, or persists, into adulthood. Among a cohort of 748 school children followed over 34 years, we found child CRF correlated with young- (r = 0.30) and mid-adulthood (r = 0.16) CRF.
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Affiliation(s)
- Jia Guo
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Brooklyn J Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Leigh Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | | | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; The Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom; Murdoch Children's Research Institute, Melbourne, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
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9
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Hota M, Barber JL, Ruiz-Ramie JJ, Schwartz CS, Lam DTUH, Rao P, Mi MY, Katz DH, Robbins JM, Clish CB, Gerszten RE, Sarzynski MA, Ghosh S, Bouchard C. Omics-driven investigation of the biology underlying intrinsic submaximal working capacity and its trainability. Physiol Genomics 2023; 55:517-543. [PMID: 37661925 PMCID: PMC11178266 DOI: 10.1152/physiolgenomics.00163.2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 07/21/2023] [Accepted: 08/31/2023] [Indexed: 09/05/2023] Open
Abstract
Submaximal exercise capacity is an indicator of cardiorespiratory fitness with clinical and public health implications. Submaximal exercise capacity and its response to exercise programs are characterized by heritability levels of about 40%. Using physical working capacity (power output) at a heart rate of 150 beats/min (PWC150) as an indicator of submaximal exercise capacity in subjects of the HERITAGE Family Study, we have undertaken multi-omics and in silico explorations of the underlying biology of PWC150 and its response to 20 wk of endurance training. Our goal was to illuminate the biological processes and identify panels of genes associated with human variability in intrinsic PWC150 (iPWC150) and its trainability (dPWC150). Our bioinformatics approach was based on a combination of genome-wide association, skeletal muscle gene expression, and plasma proteomics and metabolomics experiments. Genes, proteins, and metabolites showing significant associations with iPWC150 or dPWC150 were further queried for the enrichment of biological pathways. We compared genotype-phenotype associations of emerging candidate genes with reported functional consequences of gene knockouts in mouse models. We investigated the associations between DNA variants and multiple muscle and cardiovascular phenotypes measured in HERITAGE subjects. Two panels of prioritized genes of biological relevance to iPWC150 (13 genes) and dPWC150 (6 genes) were identified, supporting the hypothesis that genes and pathways associated with iPWC150 are different from those underlying dPWC150. Finally, the functions of these genes and pathways suggested that human variation in submaximal exercise capacity is mainly driven by skeletal muscle morphology and metabolism and red blood cell oxygen-carrying capacity.NEW & NOTEWORTHY Multi-omics and in silico explorations of the genes and underlying biology of submaximal exercise capacity and its response to 20 wk of endurance training were undertaken. Prioritized genes were identified: 13 genes for variation in submaximal exercise capacity in the sedentary state and 5 genes for the response level to endurance training, with no overlap between them. Genes and pathways associated with submaximal exercise capacity in the sedentary state are different from those underlying trainability.
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Affiliation(s)
- Monalisa Hota
- Centre for Computational Biology, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Jacob L Barber
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States
| | - Jonathan J Ruiz-Ramie
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States
- Department of Kinesiology, Augusta University, Augusta, Georgia, United States
| | - Charles S Schwartz
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States
| | - Do Thuy Uyen Ha Lam
- Centre for Computational Biology, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Prashant Rao
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
| | - Michael Y Mi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
| | - Daniel H Katz
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
| | - Jeremy M Robbins
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
| | - Clary B Clish
- Metabolomics Platform, Broad Institute, Boston, Massachusetts, United States
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
| | - Mark A Sarzynski
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States
| | - Sujoy Ghosh
- Centre for Computational Biology, Duke-National University of Singapore Medical School, Singapore, Singapore
- Bioinformatics Section, Human Genomics Core, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States
- Program in Cardiovascular and Metabolic Disorders, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States
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Plaza-Florido A, Esteban-Cornejo I, Mora-Gonzalez J, Torres-Lopez LV, Osuna-Prieto FJ, Gil-Cosano JJ, Radom-Aizik S, Labayen I, Ruiz JR, Altmäe S, Ortega FB. Gene-exercise interaction on brain health in children with overweight/obesity: the ActiveBrains randomized controlled trial. J Appl Physiol (1985) 2023; 135:775-785. [PMID: 37589055 PMCID: PMC10642513 DOI: 10.1152/japplphysiol.00435.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/08/2023] [Accepted: 08/14/2023] [Indexed: 08/18/2023] Open
Abstract
We investigated the interaction between a genetic score and an exercise intervention on brain health in children with overweight/obesity. One hundred one children with overweight/obesity (10.0 ± 1.5 yr, 59% girls) were randomized into a 20-wk combined exercise intervention or a control group. Several cognitive and academic outcomes were measured with validated tests. Hippocampal volume was quantified using magnetic resonance imaging. Six brain health-related polymorphisms [rs6265 (BDNF), rs2253206 (CREB1), rs2289656 (NTRK2), rs4680 (COMT), rs429358, and rs7412 (APOE)] were genotyped. Cognitive flexibility and academic skills improved significantly more in the exercise than in the control group only in the children with a "favorable" genetic profile [mean z-score, 0.41-0.67 (95% CI 0.11 to 1.18)], yet not in those with "less favorable" genetic profile. An individual response analysis showed that children responded to exercise in cognitive flexibility only in the "genetically favorable" group [i.e., 62% of them had a meaningful (≥0.2 Cohen d) increase in the exercise group compared with only 25% in the control group]. This finding was consistent in per-protocol and intention-to-treat analyses (P = 0.01 and P = 0.03, respectively). The results were not significant or not consistent for the rest of outcomes studied. Our findings suggest that having a more favorable genetic profile makes children with overweight/obesity more responsive to exercise, particularly for cognitive flexibility.NEW & NOTEWORTHY Interindividual differences have been reported in brain health-related outcomes in response to exercise interventions in adults, which could be partially explained by genetic background differences. However, the role of genetic polymorphisms on brain health-related outcomes in response to exercise interventions remains unexplored in pediatric population. The current study in children with overweight/obesity showed that a genetic score composed of six brain health-related polymorphisms (BDNF, CREB1, NTRK2, COMT, and APOE) regulated the exercise-induced response on several brain health outcomes, yet mainly and more consistently on cognitive flexibility.
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Affiliation(s)
- Abel Plaza-Florido
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- Pediatric Exercise and Genomics Research Center, Department of Pediatrics, School of Medicine, University of California at Irvine, Irvine, California, United States
| | - Irene Esteban-Cornejo
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - Jose Mora-Gonzalez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Lucia V Torres-Lopez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Francisco J Osuna-Prieto
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- Instituto de Investigación Sanitaria Pere Virgili, University Hospital of Tarragona Joan XXIII, Tarragona, Spain
| | - Jose J Gil-Cosano
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- Department of Communication and Education, Universidad Loyola Andalucía, Dos Hermanas, Sevilla, Spain
| | - Shlomit Radom-Aizik
- Pediatric Exercise and Genomics Research Center, Department of Pediatrics, School of Medicine, University of California at Irvine, Irvine, California, United States
| | - Idoia Labayen
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain
- Research Institute for Sustainability & Food Chain Innovation (IS-FOOD), Public University of Navarre, Pamplona, Spain
- Department of Health Sciences, Public University of Navarre, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Jonatan R Ruiz
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - Signe Altmäe
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain
- Division of Obstetrics and Gynecology, Department of Clinical Scinece, Intervention and Technology (CLINTEC), Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Francisco B Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
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11
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He M, Hu S, Wang J, Wang J, Găman MA, Hariri Z, Tian Y. Effect of resistance training on lipid profile in postmenopausal women: A systematic review and meta-analysis of randomized controlled trials. Eur J Obstet Gynecol Reprod Biol 2023; 288:18-28. [PMID: 37421743 DOI: 10.1016/j.ejogrb.2023.06.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/10/2023] [Accepted: 06/23/2023] [Indexed: 07/10/2023]
Abstract
OBJECTIVE Physical exercise decreases cardiovascular risk and can alter the lipid profile in postmenopausal women. Although it is believed that resistance training can potentially decrease serum lipid levels in postmenopausal females, the evidence remains inconclusive. The aim of this systematic review and meta-analysis of randomized controlled trials (RCTs) was to clarify the impact of resistance training on the lipid profile in postmenopausal women. METHODS Web of Science, Scopus, PubMed/Medline and Embase were searched. RCTs that evaluated the effect of resistance training on total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglyceride (TG) levels were included in this review. Effect size was estimated using the random effects model. Subgroup analyses based on age, duration of intervention, pre-enrolment serum lipid levels and body mass index were performed. RESULTS Data pooled from 19 RCTs revealed that resistance training can reduce TC [weighted mean difference (WMD) -11.47 mg/dl; p = 0.002], LDL-C (WMD -8.48 mg/dl; p = 0.01) and TG (WMD -6.61 mg/dl; p = 0.043) levels. TC levels decreased particularly in subjects aged < 60 years (WMD -10.77 mg/dl; p = 0.003), in RCTs lasting < 16 weeks (WMD -15.70 mg/dl; p = 0.048), and in subjects with hypercholesterolaemia (WMD -12.36 mg/dl; p = 0.001) or obesity (WMD -19.35 mg/dl; p = 0.006) before RCT enrolment. There was a significant decrease in LDL-C (WMD -14.38 mg/dl; p = 0.002) levels in patients with LDL-C ≥ 130 mg/dl before trial enrolment. Resistance training reduced HDL-C (WMD -2.97 mg/dl; p = 0.01) levels particularly in subjects with obesity. TG (WMD -10.71 mg/dl; p = 0.01) levels decreased particularly when the intervention lasted < 16 weeks. CONCLUSION Resistance training can decrease TC, LDL-C and TG levels in postmenopausal females. The impact of resistance training on HDL-C levels was small, and was only observed in individuals with obesity. The effect of resistance training on the lipid profile was more notable in short-term interventions and in postmenopausal women with dyslipidaemia or obesity before trial enrolment.
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Affiliation(s)
- Min He
- Departments of Ultrasound, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Chengdu, China
| | - Sha Hu
- Departments of Ultrasound, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Chengdu, China
| | - Jin Wang
- Departments of Ultrasound, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Chengdu, China
| | - Jing Wang
- Departments of Ultrasound, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Chengdu, China
| | - Mihnea-Alexandru Găman
- Faculty of Medicine, 'Carol Davila' University of Medicine and Pharmacy, Bucharest, Romania; Department of Haematology, Centre of Haematology and Bone Marrow Transplantation, Fundeni Clinical Institute, Bucharest, Romania
| | - Zahra Hariri
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Yu Tian
- Departments of Ultrasound, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Chengdu, China.
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12
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Mi MY, Barber JL, Rao P, Farrell LA, Sarzynski MA, Bouchard C, Robbins JM, Gerszten RE. Plasma Proteomic Kinetics in Response to Acute Exercise. Mol Cell Proteomics 2023; 22:100601. [PMID: 37343698 PMCID: PMC10460691 DOI: 10.1016/j.mcpro.2023.100601] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 05/09/2023] [Accepted: 06/11/2023] [Indexed: 06/23/2023] Open
Abstract
Regular exercise has many favorable effects on human health, which may be mediated in part by the release of circulating bioactive factors during each bout of exercise. Limited data exist regarding the kinetic responses of plasma proteins during and after acute exercise. Proteomic profiling of 4163 proteins was performed using a large-scale, affinity-based platform in 75 middle-aged adults who were referred for treadmill exercise stress testing. Plasma proteins were quantified at baseline, peak exercise, and 1-h postexercise, and those with significant changes at both exercise timepoints were further examined for their associations with cardiometabolic traits and change with aerobic exercise training in the Health, Risk Factors, Exercise Training and Genetics Family Study, a 20-week exercise intervention study. A total of 765 proteins changed (false discovery rate < 0.05) at peak exercise compared to baseline, and 128 proteins changed (false discovery rate < 0.05) at 1-h postexercise. The 56 proteins that changed at both timepoints included midkine, brain-derived neurotrophic factor, metalloproteinase inhibitor 4, and coiled-coil domain-containing protein 126 and were enriched for secreted proteins. The majority had concordant direction of change at both timepoints. Across all proteins assayed, gene set enrichment analysis showed increased abundance of coagulation-related proteins at 1-h postexercise. Forty-five proteins were associated with at least one measure of adiposity, lipids, glucose homeostasis, or cardiorespiratory fitness in Health, Risk Factors, Exercise Training and Genetics Family Study, and 20 proteins changed with aerobic exercise training. We identified hundreds of novel proteins that change during acute exercise, most of which resolved by 1 h into recovery. Proteins with sustained changes during exercise and recovery may be of particular interest as circulating biomarkers and pathways for further investigation in cardiometabolic diseases. These data will contribute to a biochemical roadmap of acute exercise that will be publicly available for the entire scientific community.
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Affiliation(s)
- Michael Y Mi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
| | - Jacob L Barber
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Prashant Rao
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Laurie A Farrell
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Mark A Sarzynski
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Jeremy M Robbins
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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13
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Liu WN, Feng AC, Hsu CY, Liu PY, Tsai KZ, Zeng HC, Lavie CJ, Lin GM. Mitral valve prolapse and physical performance in Asian military males: The CHIEF Heart study. J Sports Sci 2023; 41:1179-1186. [PMID: 37732628 DOI: 10.1080/02640414.2023.2260626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 09/12/2023] [Indexed: 09/22/2023]
Abstract
The impact of mitral valve prolapse (MVP) and mitral regurgitation (MR) on physical performance has not been examined. Of 1,808 physically fit Asian military males, we compared the physical fitness between 62 subjects with MVP (MVP(+)) and 1,311 age- and anthropometrics-matched controls from the 1,746 participants without MVP (MVP(-)). MVP and MR grade were defined based on the American Society of Echocardiography criteria. Aerobic endurance capacity was evaluated by a 3000-m run and muscular endurance capacity was separately evaluated by 2-min sit-ups and 2-min push-ups. Analysis of covariance was used to determine the difference between groups. As compared to the MVP(-), the MVP(+) completed the 3000-m run test faster (839.2 ± 65.3 sec vs. 866.6 ± 86.8 sec, p = 0.019), but did fewer push-ups (41.3 ± 3.92 vs. 48.0 ± 10.1, p = 0.02) and similar sit-ups within 2 min. Of the MVP(+), those with any MR (trivial, mild or moderate) completed the 3000-m run test faster than those without MR (830.6 ± 61.7 sec vs. 877.2 ± 61.7 sec, p = 0.02). Our findings suggest that in physically active Asian military males, the MVP(+) may have greater aerobic endurance capacity but lower muscular endurance capacity than the MVP(-). The presence of MR may play a role for the MVP(+) to have greater aerobic endurance capacity.
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Affiliation(s)
- Wei-Nung Liu
- Department of Internal Medicine, Hualien Armed Forces General Hospital, Hualien, Taiwan
- Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - An-Chieh Feng
- Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chu-Yu Hsu
- Department of Internal Medicine, Hualien Armed Forces General Hospital, Hualien, Taiwan
- Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan City, Taiwan
| | - Pang-Yen Liu
- Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Kun-Zhe Tsai
- Department of Stomatology of Periodontology, Mackay Memorial Hospital, Taipei, Taiwan
- Departments of Dentistry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Huan-Chang Zeng
- Department of Internal Medicine, Hualien Armed Forces General Hospital, Hualien, Taiwan
| | - Carl J Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA, USA
| | - Gen-Min Lin
- Department of Internal Medicine, Hualien Armed Forces General Hospital, Hualien, Taiwan
- Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
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14
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Robbins JM, Gerszten RE. Exercise, exerkines, and cardiometabolic health: from individual players to a team sport. J Clin Invest 2023; 133:e168121. [PMID: 37259917 PMCID: PMC10231996 DOI: 10.1172/jci168121] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023] Open
Abstract
Exercise confers numerous salutary effects that extend beyond individual organ systems to provide systemic health benefits. Here, we discuss the role of exercise in cardiovascular health. We summarize major findings from human exercise studies in cardiometabolic disease. We next describe our current understanding of cardiac-specific substrate metabolism that occurs with acute exercise and in response to exercise training. We subsequently focus on exercise-stimulated circulating biochemicals ("exerkines") as a paradigm for understanding the global health circuitry of exercise, and discuss important concepts in this emerging field before highlighting exerkines relevant in cardiovascular health and disease. Finally, this Review identifies gaps that remain in the field of exercise science and opportunities that exist to translate biologic insights into human health improvement.
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Affiliation(s)
- Jeremy M. Robbins
- Division of Cardiovascular Medicine and
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Robert E. Gerszten
- Division of Cardiovascular Medicine and
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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15
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Moore TM, Lee S, Olsen T, Morselli M, Strumwasser AR, Lin AJ, Zhou Z, Abrishami A, Garcia SM, Bribiesca J, Cory K, Whitney K, Ho T, Ho T, Lee JL, Rucker DH, Nguyen CQA, Anand ATS, Yackly A, Mendoza LQ, Leyva BK, Aliman C, Artiga DJ, Meng Y, Charugundla S, Pan C, Jedian V, Seldin MM, Ahn IS, Diamante G, Blencowe M, Yang X, Mouisel E, Pellegrini M, Turcotte LP, Birkeland KI, Norheim F, Drevon CA, Lusis AJ, Hevener AL. Conserved multi-tissue transcriptomic adaptations to exercise training in humans and mice. Cell Rep 2023; 42:112499. [PMID: 37178122 PMCID: PMC11352395 DOI: 10.1016/j.celrep.2023.112499] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 11/04/2022] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
Physical activity is associated with beneficial adaptations in human and rodent metabolism. We studied over 50 complex traits before and after exercise intervention in middle-aged men and a panel of 100 diverse strains of female mice. Candidate gene analyses in three brain regions, muscle, liver, heart, and adipose tissue of mice indicate genetic drivers of clinically relevant traits, including volitional exercise volume, muscle metabolism, adiposity, and hepatic lipids. Although ∼33% of genes differentially expressed in skeletal muscle following the exercise intervention are similar in mice and humans independent of BMI, responsiveness of adipose tissue to exercise-stimulated weight loss appears controlled by species and underlying genotype. We leveraged genetic diversity to generate prediction models of metabolic trait responsiveness to volitional activity offering a framework for advancing personalized exercise prescription. The human and mouse data are publicly available via a user-friendly Web-based application to enhance data mining and hypothesis development.
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Affiliation(s)
- Timothy M Moore
- Division of Cardiology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA; Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Sindre Lee
- Department of Transplantation, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Thomas Olsen
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Marco Morselli
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA; UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA, USA; Institute for Quantitative and Computational Biosciences - The Collaboratory, University of California, Los Angeles, Los Angeles, CA, USA
| | - Alexander R Strumwasser
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Amanda J Lin
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA; Department of Chemical and Systems Biology, Stanford School of Medicine, Stanford, CA, USA
| | - Zhenqi Zhou
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Aaron Abrishami
- Department of Transplantation, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Steven M Garcia
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Jennifer Bribiesca
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Kevin Cory
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Kate Whitney
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Theodore Ho
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Timothy Ho
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Joseph L Lee
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Daniel H Rucker
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Christina Q A Nguyen
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Akshay T S Anand
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Aidan Yackly
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Lorna Q Mendoza
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Brayden K Leyva
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Claudia Aliman
- Department of Transplantation, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Daniel J Artiga
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Yonghong Meng
- Division of Cardiology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Sarada Charugundla
- Division of Cardiology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Calvin Pan
- Division of Cardiology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Vida Jedian
- Division of Cardiology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA
| | - Marcus M Seldin
- Division of Cardiology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA; Department of Biological Chemistry and Center for Epigenetics and Metabolism, University of California, Irvine, Irvine, CA, USA
| | - In Sook Ahn
- Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - Graciel Diamante
- Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - Montgomery Blencowe
- Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Xia Yang
- Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA; Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Etienne Mouisel
- Institute of Metabolic and Cardiovascular Diseases, UMR1297 Inserm, Paul Sabatier University, Toulouse, France
| | - Matteo Pellegrini
- UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA, USA
| | - Lorraine P Turcotte
- Department of Biological Sciences, Dana & David Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA, USA
| | - Kåre I Birkeland
- Department of Transplantation, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Frode Norheim
- Division of Cardiology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA; Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Aldons J Lusis
- Division of Cardiology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA; Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Andrea L Hevener
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA; Iris Cantor-UCLA Women's Health Research Center, Los Angeles, CA, USA; Veterans Administration Greater Los Angeles Healthcare System, Geriatric Research Education and Clinical Center (GRECC), Los Angeles, CA, USA.
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16
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Kirchner H, Weisner L, Wilms B. When should I run-the role of exercise timing in metabolic health. Acta Physiol (Oxf) 2023; 237:e13953. [PMID: 36815281 DOI: 10.1111/apha.13953] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 02/13/2023] [Accepted: 02/14/2023] [Indexed: 02/24/2023]
Abstract
The prevalence of type 2 diabetes is reaching epidemic proportions. First line therapy approaches are lifestyle interventions including exercise. Although a vast amount of studies reports on beneficial effects of exercise on metabolism in humans per se, overall data are contradictory which makes it difficult to optimize interventions. Innovative exercise strategies and its underlying mechanism are needed to elucidate in order to close this therapeutic gap. The skeletal muscle produces and secretes myokines and microRNAs in response to exercise and both are discussed as mechanisms linking exercise and metabolic adaptation. Aspects of chronophysiology such as diurnal variation in insulin sensitivity or exercise as a signal to reset dysregulated peripheral clocks are of growing interest in the context of impaired metabolism. Deep insight of how exercise timing determines metabolic adaptations is required to optimize exercise interventions. This review aims to summarize the current state of research on the interaction between timing of exercise and metabolism in humans, providing insights into proposed mechanistic concepts focusing on myokines and microRNAs. First evidence points to an impact of timing of exercise on health outcome, although data are inconclusive. Underlying mechanisms remain elusive. It is currently unknown if the timed release of mykokines depends on time of day when exercise is performed. microRNAs have been found as an important mediator of processes associated with exercise adaptation. Further research is needed to evaluate their full relevance. In conclusion, it seems to be too early to provide concrete recommendations on timing of exercise to maximize beneficial effects.
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Affiliation(s)
- Henriette Kirchner
- Institute for Human Genetics, Epigenetics and Metabolism Lab, University of Lübeck, Lübeck, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Leon Weisner
- Institute of Endocrinology and Diabetes, University of Luebeck, Luebeck, Germany
| | - Britta Wilms
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Endocrinology and Diabetes, University of Luebeck, Luebeck, Germany
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17
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The genetic basis of exercise and cardiorespiratory fitness – Relation to cardiovascular disease. CURRENT OPINION IN PHYSIOLOGY 2023. [DOI: 10.1016/j.cophys.2023.100649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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18
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LaMonte MJ. Cardiorespiratory Fitness in the Prevention and Management of Cardiovascular Disease. Rev Cardiovasc Med 2022; 23:382. [PMID: 39076181 PMCID: PMC11269081 DOI: 10.31083/j.rcm2311382] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/30/2022] [Accepted: 10/12/2022] [Indexed: 07/31/2024] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death among adults in the U.S. and elsewhere. Variation in the presence, severity, and control of major modifiable risk factors accounts for much of the variation in CVD rates worldwide. Cardiorespiratory fitness (CRF) reflects the integration of ventilation, circulation, and metabolism for the delivery and utilization of oxygen in support of dynamic aerobic physical activity. The gold standard measure of CRF is maximal oxygen uptake. Because the primary factor underlying differences in this measure between individuals is maximal cardiac output, it can serve as a clinical indicator of cardiac function. Higher CRF is associated with favorable levels of major CVD risk factors, lower prevalence and severity of subclinical atherosclerosis, and lower risks of developing both primary and secondary clinical CVD events. The beneficial associations between CRF and CVD are seen in women and men, older and younger adults, in those with multiple coexisting risk factors or prior diagnosis of CVD. Exercise training and regular physical activity of at least moderate intensities and volumes improves CRF in adults, and improvements in CRF are associated with lower risks of subsequent CVD and mortality. Routine assessment of CRF in primary care settings could enhance individual-level CVD risk assessment and thereby guide implementation of appropriate measures to prevent future clinical events.
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Affiliation(s)
- Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo – SUNY, Buffalo, NY 14214, USA
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19
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Erickson ML, Allen JM, Beavers DP, Collins LM, Davidson KW, Erickson KI, Esser KA, Hesselink MKC, Moreau KL, Laber EB, Peterson CA, Peterson CM, Reusch JE, Thyfault JP, Youngstedt SD, Zierath JR, Goodpaster BH, LeBrasseur NK, Buford TW, Sparks LM. Understanding heterogeneity of responses to, and optimizing clinical efficacy of, exercise training in older adults: NIH NIA Workshop summary. GeroScience 2022; 45:569-589. [PMID: 36242693 PMCID: PMC9886780 DOI: 10.1007/s11357-022-00668-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 09/28/2022] [Indexed: 02/03/2023] Open
Abstract
Exercise is a cornerstone of preventive medicine and a promising strategy to intervene on the biology of aging. Variation in the response to exercise is a widely accepted concept that dates back to the 1980s with classic genetic studies identifying sequence variations as modifiers of the VO2max response to training. Since that time, the literature of exercise response variance has been populated with retrospective analyses of existing datasets that are limited by a lack of statistical power from technical error of the measurements and small sample sizes, as well as diffuse outcomes, very few of which have included older adults. Prospective studies that are appropriately designed to interrogate exercise response variation in key outcomes identified a priori and inclusive of individuals over the age of 70 are long overdue. Understanding the underlying intrinsic (e.g., genetics and epigenetics) and extrinsic (e.g., medication use, diet, chronic disease) factors that determine robust versus poor responses to various exercise factors will be used to improve exercise prescription to target the pillars of aging and optimize the clinical efficacy of exercise training in older adults. This review summarizes the proceedings of the NIA-sponsored workshop entitled, "Understanding Heterogeneity of Responses to, and Optimizing Clinical Efficacy of, Exercise Training in Older Adults" and highlights the importance and current state of exercise response variation research, particularly in older adults, prevailing challenges, and future directions.
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Affiliation(s)
- Melissa L Erickson
- Translational Research Institute, AdventHealth, 301 E Princeton St, Orlando, FL, 32804, USA
| | - Jacob M Allen
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Daniel P Beavers
- Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - Linda M Collins
- Department of Social and Behavioral Sciences, New York University, New York, NY, USA
| | - Karina W Davidson
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, USA
| | - Kirk I Erickson
- Translational Research Institute, AdventHealth, 301 E Princeton St, Orlando, FL, 32804, USA
| | - Karyn A Esser
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL, USA
| | - Matthijs K C Hesselink
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Kerrie L Moreau
- Department of Medicine, Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Eric B Laber
- Department of Statistical Sciences, Duke University, Durham, NC, USA
| | - Charlotte A Peterson
- Center for Muscle Biology, College of Health Sciences, University of Kentucky, Lexington, KY, USA
| | - Courtney M Peterson
- Department of Nutritional Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jane E Reusch
- Department of Medicine, Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - John P Thyfault
- Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, KN, USA
| | - Shawn D Youngstedt
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - Juleen R Zierath
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Bret H Goodpaster
- Translational Research Institute, AdventHealth, 301 E Princeton St, Orlando, FL, 32804, USA
| | - Nathan K LeBrasseur
- Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, USA
| | - Thomas W Buford
- Department of Medicine, University of Alabama at Birmingham, 1313 13th St. S., Birmingham, AL, 35244, USA.
- Birmingham/Atlanta VA GRECC, Birmingham VA Medical Center, Birmingham, AL, USA.
| | - Lauren M Sparks
- Translational Research Institute, AdventHealth, 301 E Princeton St, Orlando, FL, 32804, USA.
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20
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Modesti A, Luti S, Pinto G, Vassalle C, Nikolaidis PT. Editorial: Women and men in physical activity. Front Physiol 2022; 13:988839. [PMID: 36045740 PMCID: PMC9421244 DOI: 10.3389/fphys.2022.988839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 07/22/2022] [Indexed: 12/03/2022] Open
Affiliation(s)
- Alessandra Modesti
- Department of Biomedical Experimental and Clinical Sciences “Mario Serio”, University of Florence, Florence, Italy
| | - Simone Luti
- Department of Biomedical Experimental and Clinical Sciences “Mario Serio”, University of Florence, Florence, Italy
| | - Gabriella Pinto
- Department of Chemical Sciences, Polytechnic and Basic Sciences School, University of Naples Federico II, Naples, Italy
| | | | - Pantelis Theodoros Nikolaidis
- School of Health and Caring Sciences, University of West Attica Athens, Athens, Greece
- *Correspondence: Pantelis Theodoros Nikolaidis,
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21
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Kenney WL, Jablonski NG, Brown MD, Keith NR. Honoring The HERITAGE Study and Looking Forward. Med Sci Sports Exerc 2022; 54:883-885. [PMID: 35703929 DOI: 10.1249/mss.0000000000002911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- W Larry Kenney
- Department of Kinesiology, Graduate Physiology Program, The Pennsylvania State University, University Park, PA
| | - Nina G Jablonski
- Department of Anthropology, Center for Human Evolution and Diversity, The Pennsylvania State University, University Park, PA
| | - Michael D Brown
- Department of Kinesiology, School of Public Health, University of Maryland, College Park, MD
| | - Nicole R Keith
- School of Health and Human Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, IN
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