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Keating SE, Croci I, Wallen MP, Cox ER, Coombes JS, Burton NW, Macdonald GA, Hickman IJ. High-intensity Interval Training for the Management of Nonalcoholic Steatohepatitis: Participant Experiences and Perspectives. J Clin Transl Hepatol 2023; 11:1050-1060. [PMID: 37577222 PMCID: PMC10412696 DOI: 10.14218/jcth.2022.00091s] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/10/2023] [Accepted: 02/15/2023] [Indexed: 07/03/2023] Open
Abstract
Background and Aims High-intensity interval training (HIIT) is a therapeutic option for people with nonalcoholic steatohepatitis (NASH). However, the perspectives and experiences of HIIT for people with NASH are unknown, limiting translation of research. We explored the experiences and perspectives of both professionally supervised and self-directed HIIT in people with NASH and evaluated participant-reported knowledge, barriers, and enablers to commencing and sustaining HIIT. Methods Twelve participants with NASH underwent 12 weeks of supervised HIIT (3 days/week, 4×4 minutes at 85-95% maximal heart rate, interspersed with 3 minutes active recovery), followed by 12-weeks of self-directed (unsupervised) HIIT. One-on-one, semistructured participant interviews were conducted by exercise staff prior to HIIT and following both supervised and self-directed HIIT to explore prior knowledge, barriers, enablers, and outcomes at each stage. Interviews were audio-recorded, transcribed, coded, and thematically analyzed by two independent researchers. Results Four dominant themes were identified: (1) no awareness of/experience with HIIT and ambivalence about exercise capabilities; (2) multiple medical and social barriers to commencing and continuing HIIT; (3) exercise specialist support was a highly valued enabler, and (4) HIIT was enjoyed and provided holistic benefits. Conclusions People with NASH may lack knowledge of and confidence for HIIT, and experience multiple complex barriers to commencing and continuing HIIT. Exercise specialist support is a key enabler to sustained engagement. These factors need to be addressed in future clinical programs to augment the uptake and long-term sustainability of HIIT by people with NASH so they can experience the range of related benefits.
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Affiliation(s)
- Shelley E. Keating
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia
| | - Ilaria Croci
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia
- K.G. Jebsen Center of Exercise in Medicine Norwegian University of Science and Technology, Department of Circulation and Medical Imaging, Faculty of Medicine, Trondheim, Norway
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Matthew P. Wallen
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
- Institute of Health and Wellbeing, Federation University, Mount Helen, Australia
| | - Emily R. Cox
- School of Environmental and Life Sciences, University of Newcastle, Ourimbah, Australia
| | - Jeff S. Coombes
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia
| | - Nicola W. Burton
- School of Applied Psychology, Griffith University, Mt Gravatt, Australia
- Menzies Health Institute, Griffith University, Gold Coast, Australia
- Centre for Mental Health, Griffith University, Brisbane, Australia
| | - Graeme A. Macdonald
- Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Ingrid J. Hickman
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Department of Nutrition and Dietetics, Princess Alexandra Hospital, Brisbane, Australia
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Carrard J, Angst T, Weber N, Bienvenue J, Infanger D, Streese L, Hinrichs T, Croci I, Schmied C, Gallart-Ayala H, Höchsmann C, Koehler K, Hanssen H, Ivanisevic J, Schmidt-Trucksäss A. Investigating the circulating sphingolipidome response to a single high-intensity interval training session within healthy females and males in their twenties (SphingoHIIT): Protocol for a randomised controlled trial. F1000Res 2023; 11:1565. [PMID: 37533665 PMCID: PMC10390797 DOI: 10.12688/f1000research.128978.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/15/2023] [Indexed: 08/04/2023] Open
Abstract
Introduction: Growing scientific evidence indicates that sphingolipids predict cardiometabolic risk, independently of and beyond traditional biomarkers such as low-density lipoprotein cholesterol. To date, it remains largely unknown if and how exercise, a simple, low-cost, and patient-empowering modality to optimise cardiometabolic health, influences sphingolipid levels. The SphingoHIIT study aims to assess the response of circulating sphingolipid species to a single session of high-intensity interval training (HIIT). Methods: This single-centre randomised controlled trial (RCT) will last 11 days per participant and aim to include 32 young and healthy individuals aged 20-29 (50% females). Participants will be randomly allocated to the HIIT (n= 16) or control groups (physical rest, n= 16). Participants will self-sample fasted dried blood spots for three consecutive days before the intervention (HIIT versus rest) to determine baseline sphingolipid levels. Dried blood spots will also be collected at five time points (2, 15, 30, 60min, and 24h) following the intervention (HIIT versus rest). To minimise the dietary influence, participants will receive a standardised diet for four days, starting 24 hours before the first dried blood sampling. For females, interventions will be timed to fall within the early follicular phase to minimise the menstrual cycle's influence on sphingolipid levels. Finally, physical activity will be monitored for the whole study duration using a wrist accelerometer. Ethics and dissemination: The Ethics Committee of Northwest and Central Switzerland approved this protocol (ID 2022-00513). Findings will be disseminated in scientific journals and meetings. Trial Registration The trial was registered on www.clinicaltrials.gov (NCT05390866, https://clinicaltrials.gov/ct2/show/NCT05390866) on May 25, 2022.
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Affiliation(s)
- Justin Carrard
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
| | - Thomas Angst
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
| | - Nadia Weber
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
| | - Joëlle Bienvenue
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
| | - Denis Infanger
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
| | - Lukas Streese
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
| | - Timo Hinrichs
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
| | - Ilaria Croci
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
- Cardiac Exercise Research Group, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Christian Schmied
- Sports Cardiology Section, Department of Cardiology, University Heart Center Zurich,, University Hospital Zurich, Zurich, 8091, Switzerland
| | - Hector Gallart-Ayala
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, 1005, Switzerland
| | - Christoph Höchsmann
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Karsten Koehler
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Henner Hanssen
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
| | - Julijana Ivanisevic
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, 1005, Switzerland
| | - Arno Schmidt-Trucksäss
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
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Carrard J, Gut M, Croci I, McMahon S, Gojanovic B, Hinrichs T, Schmidt-Trucksäss A. Exercise Science Graduates in the Healthcare System: A Comparison Between Australia and Switzerland. Front Sports Act Living 2022; 4:766641. [PMID: 35419518 PMCID: PMC8998636 DOI: 10.3389/fspor.2022.766641] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 01/31/2022] [Indexed: 12/17/2022] Open
Abstract
Physical inactivity (PI) is a leading risk factor for global mortality worldwide, a major preventable cause of non-communicable diseases (NCDs) and a socioeconomic burden for healthcare systems. Fortunately, evidence shows that exercise interventions delivered by qualified exercise science graduates is an effective way to reduce PI, prevent and treat NCDs. This study compares the integration of exercise science graduates, defined as university graduates with degrees in sport and exercise science, in the healthcare systems of Australia, a commonly cited model in this regard, and Switzerland, a country considered to have an effective but costly healthcare system. For both countries, three domains were reviewed: healthcare system, exercise science graduates' education, and roles played by exercise science graduates in healthcare system. Australia formally recognizes specifically trained exercise science graduates (referred to as Accredited Exercise Physiologists) as healthcare professionals. The exercise interventions they deliver, which were shown to be cost-effective and lead to positive health outcomes, are covered by Medicare, the Australian universal health insurance. However, Medicare covers only a maximum of 5 yearly sessions of all allied-health services taken together. Conversely, Switzerland, despite offering university master's degrees that focus on physical activity delivery to clinical populations, does not recognize the respective graduates as healthcare providers. As a result, their services are not covered by the Swiss health insurances. The latter do, however, cover a generous number of services (not formally limited) delivered by other allied-health professionals. In conclusion, Australia makes a better use of exercise science graduates than Switzerland does. Switzerland would benefit from establishing a clinical profession for exercise science graduates, defining competencies that they should acquire and setting their scope of practice. The very restricted number of therapy sessions covered by Medicare might limit the positive impact exercise science graduates have on the Australian healthcare system. Overall, mutual learning between countries can promote development and global recognition of clinical positions for exercise science graduates.
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Affiliation(s)
- Justin Carrard
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
- *Correspondence: Justin Carrard
| | - Maurin Gut
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Ilaria Croci
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
- K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Stephen McMahon
- Emergency Department and Orthopaedics Unit, Ballarat Health Services, Ballarat, VIC, Australia
| | - Boris Gojanovic
- Sports Medicine, Swiss Olympic Medical Center, Hôpital de la Tour, Meyrin, Switzerland
- Centre SportAdo, Woman-Mother-Child Department (DFME), Lausanne University and Hospital (CHUV), Lausanne, Switzerland
| | - Timo Hinrichs
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Arno Schmidt-Trucksäss
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
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Williams CJ, Torquati L, Li Z, Lea RA, Croci I, Keating E, Little JP, Eynon N, Coombes JS. Oligofructose-Enriched Inulin Intake, Gut Microbiome Characteristics, and the V̇O2 Peak Response to High-Intensity Interval Training in Healthy Inactive Adults. J Nutr 2022; 152:680-689. [PMID: 34910161 DOI: 10.1093/jn/nxab426] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 10/19/2021] [Accepted: 12/09/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The gut microbiome has been associated with cardiorespiratory fitness. OBJECTIVES To assess the effects of oligofructose (FOS)-enriched inulin supplementation on the gut microbiome and the peak oxygen uptake (V̇O2peak) response to high-intensity interval training (HIIT). METHODS The study was a randomized controlled trial. Forty sedentary and apparently healthy adults [n = 31 women; aged 31.8 ± 9.8 y, BMI (in kg⋅m-2) 25.9 ± 4.3] were randomly allocated to 1) 6 wk of supervised HIIT (4 × 4-min bouts at 85-95% peak heart rate, interspersed with 3 min of active recovery, 3·wk-1) + 12 g·d-1 of FOS-enriched inulin (HIIT-I) or 2) 6 wk of supervised HIIT (3·wk-1, 4 × 4-min bouts) + 12 g·d-1 of maltodextrin/placebo (HIIT-P). Each participant completed an incremental treadmill test to assess V̇O2peak and ventilatory thresholds (VTs), provided a stool and blood sample, and completed a 24-h diet recall questionnaire and FFQ before and after the intervention. Gut microbiome analyses were performed using metagenomic sequencing. Fecal short-chain fatty acids were measured by mass spectrometry. RESULTS There were no differences in the mean change in V̇O2peak response between groups (P = 0.58). HIIT-I had a greater improvement in VTs than HIIT-P [VT1 (lactate accumulation): mean difference + 4.3% and VT2 (lactate threshold): +4.2%, P < 0.05]. HIIT-I had a greater increase in the abundance of Bifidobacterium taxa [false discovery rate (FDR) < 0.05] and several metabolic processes related to exercise capacity (FDR < 0.05). Exploratory analysis of merged data found participants with a greater response to HIIT (V̇O2peak ≥3.5 mL⋅kg-1⋅min-1) had a 2.2-fold greater mean abundance of gellan degradation pathways (FDR < 0.05) and a greater, but not significant, abundance of Bifidobacterium uniformis species (P < 0.00023, FDR = 0.08). CONCLUSIONS FOS-enriched inulin supplementation did not potentiate HIIT-induced improvements in V̇O2peak but led to gut microbiome changes possibly associated with greater ventilatory threshold improvements in healthy inactive adults. Gellan degradation pathways and B. uniformis spp. were associated with greater V̇O2peak responses to HIIT.
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Affiliation(s)
- Camilla J Williams
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, QLD, Australia
| | - Luciana Torquati
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, QLD, Australia
- Department of Sport and Health Sciences, University of Exeter, Exeter, United Kingdom
| | - Zhixiu Li
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia
- Queensland University of Technology (QUT), Faculty of Health, School of Biomedical Sciences, Brisbane, QLD, Australia
| | - Rodney A Lea
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia
- Queensland University of Technology (QUT), Faculty of Health, School of Biomedical Sciences, Brisbane, QLD, Australia
| | - Ilaria Croci
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, QLD, Australia
- Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Sport, Movement and Health, University of Basel, Basel, Switzerland
| | - Eliza Keating
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, QLD, Australia
| | - Jonathan P Little
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, BC, Canada
| | - Nir Eynon
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Jeff S Coombes
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, QLD, Australia
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5
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Williams CJ, Li Z, Harvey N, Lea RA, Gurd BJ, Bonafiglia JT, Papadimitriou I, Jacques M, Croci I, Stensvold D, Wisloff U, Taylor JL, Gajanand T, Cox ER, Ramos JS, Fassett RG, Little JP, Francois ME, Hearon CM, Sarma S, Janssen SLJE, Van Craenenbroeck EM, Beckers P, Cornelissen VA, Howden EJ, Keating SE, Yan X, Bishop DJ, Bye A, Haupt LM, Griffiths LR, Ashton KJ, Brown MA, Torquati L, Eynon N, Coombes JS. Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study. J Biomed Sci 2021; 28:37. [PMID: 33985508 PMCID: PMC8117553 DOI: 10.1186/s12929-021-00733-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/05/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Low cardiorespiratory fitness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. METHODS Participant change in objectively measured V̇O2peak from 18 different interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n = 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms (SNPs) significantly associated (P < 1 × 10-5) with the magnitude of V̇O2peak response. Findings were tested in an independent validation study (n = 39) and compared to previous research. RESULTS No variants at the genome-wide significance level were found after adjusting for key covariates (baseline V̇O2peak, individual study, principal components which were significantly associated with the trait). A Quantile-Quantile plot indicates there was minor inflation in the study. Twelve novel loci showed a trend of association with V̇O2peak response that reached suggestive significance (P < 1 × 10-5). The strongest association was found near the membrane associated guanylate kinase, WW and PDZ domain containing 2 (MAGI2) gene (rs6959961, P = 2.61 × 10-7). A PPS created from the 12 lead SNPs was unable to predict V̇O2peak response in a tenfold cross validation, or in an independent (n = 39) validation study (P > 0.1). Significant correlations were found for beta coefficients of variants in the Predict-HIIT (P < 1 × 10-4) and the validation study (P < × 10-6), indicating that general effects of the loci exist, and that with a higher statistical power, more significant genetic associations may become apparent. CONCLUSIONS Ongoing research and validation of current and previous findings is needed to determine if genetics does play a large role in V̇O2peak response variance, and whether genomic predictors for V̇O2peak response trainability can inform evidence-based clinical practice. Trial registration Australian New Zealand Clinical Trials Registry (ANZCTR), Trial Id: ACTRN12618000501246, Date Registered: 06/04/2018, http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374601&isReview=true .
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Affiliation(s)
- Camilla J Williams
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Zhixiu Li
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Woolloongabba, Brisbane, QLD, Australia
| | - Nicholas Harvey
- Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, Australia.,Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, Brisbane, QLD, Australia
| | - Rodney A Lea
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, Brisbane, QLD, Australia
| | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Jacob T Bonafiglia
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Ioannis Papadimitriou
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Macsue Jacques
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Ilaria Croci
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia.,Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Sport, Movement and Health, University of Basel, Basel, Switzerland
| | - Dorthe Stensvold
- Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ulrik Wisloff
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia.,Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jenna L Taylor
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Trishan Gajanand
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Emily R Cox
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Joyce S Ramos
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia.,Caring Futures Institute, SHAPE Research Centre, Exercise Science and Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
| | - Robert G Fassett
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Jonathan P Little
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, BC, Canada
| | - Monique E Francois
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, BC, Canada
| | - Christopher M Hearon
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Satyam Sarma
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sylvan L J E Janssen
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Physiology, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Paul Beckers
- Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
| | - Véronique A Cornelissen
- Department of Rehabilitation Sciences - Research Group for Rehabilitation in Internal Disorders, Catholic University of Leuven, Leuven, Belgium
| | - Erin J Howden
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Shelley E Keating
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Xu Yan
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia.,Australia Institute for Musculoskeletal Sciences (AIMSS), Melbourne, VIC, Australia
| | - David J Bishop
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia.,School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Anja Bye
- Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Cardiology, St. Olavs Hospital, Trondheim, Norway
| | - Larisa M Haupt
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, Brisbane, QLD, Australia
| | - Lyn R Griffiths
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, Brisbane, QLD, Australia
| | - Kevin J Ashton
- Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, Australia
| | - Matthew A Brown
- Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Luciana Torquati
- Department of Sport and Health Sciences, University of Exeter, Exeter, UK
| | - Nir Eynon
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Jeff S Coombes
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia.
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6
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Ramos JS, Dalleck LC, Stennett RC, Mielke GI, Keating SE, Murray L, Hasnain SZ, Fassett RG, McGuckin M, Croci I, Coombes JS. Effect of Different Volumes of Interval Training and Continuous Exercise on Interleukin-22 in Adults with Metabolic Syndrome: A Randomized Trial. Diabetes Metab Syndr Obes 2020; 13:2443-2453. [PMID: 32765023 PMCID: PMC7368330 DOI: 10.2147/dmso.s251567] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 05/17/2020] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION IL-22 may have a role in the alleviation of the metabolic syndrome (MetS) via protection of pancreatic beta and endothelial cells from oxidative and lipid-induced damage. We aimed to investigate the effects of moderate-intensity continuous training (MICT) and different volumes of high-intensity interval training (HIIT) on changes in circulating IL-22. METHODS This was a sub-study of the "Exercise in the prevention of Metabolic Syndrome" (EX-MET) a multi-center, randomized trial. This study used data collected at the Brisbane site. Thirty-nine individuals with MetS were randomized to one of three 16-wk interventions: 1) MICT (n=10, 30min at 60-70% HR peak, 5x/wk); 2) 4HIIT (n=13, 4x4min at 85-95% HR peak, interspersed with 3min of active recovery at 50-70% HR peak, 3x/wk); or 3) 1HIIT (n=16, 1x4min at 85-95% HR peak, 3x/wk). Serum IL-22 concentration was measured following a 12-hr fast via an enzyme linked immunosorbent assay, before and after the intervention. MetS severity, insulin resistance (IR), visceral adipose tissue (VAT), and cardiorespiratory fitness (CRF) were also measured via MetS z-score, HOMA-IR, dual-energy X-ray absorptiometry, and indirect calorimetry (maximal exercise test), respectively. RESULTS The median (IQR) IL-22% changes from pre- to post-intervention in the MICT, 4HIIT, and 1HIIT groups were -17% (-43.0% to 31.3%), +16.5% (-18.9% to 154.9%), and +15.9% (-28.7% to 46.1%), respectively. Although there were no significant between-group differences in IL-22 concentration change, there was a medium-to-large group × time interaction effect [F(2,35)=2.08, p=0.14, η2=0.14]. CONCLUSION Although there was no statistically significant between-group difference in IL-22 change, the study suggests that different exercise intensities may have opposing effects on IL-22 concentration in individuals with MetS.
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Affiliation(s)
- Joyce S Ramos
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
- Caring Futures Institute and SHAPE Research Centre, Exercise Science and Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
- Correspondence: Joyce S Ramos Email
| | - Lance C Dalleck
- Caring Futures Institute and SHAPE Research Centre, Exercise Science and Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
- Recreation, Exercise, and Sport Science Department, Western State Colorado University, Gunnison, Colorado, USA
| | - Rebecca C Stennett
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Gregore I Mielke
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Shelley E Keating
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Lydia Murray
- Immunopathology Group, Mater Research Institute - The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
| | - Sumaira Z Hasnain
- Immunopathology Group, Mater Research Institute - The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
- Australian Infectious Disease Research Centre, University of Queensland, Brisbane, Queensland, Australia
| | - Robert G Fassett
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Michael McGuckin
- Immunopathology Group, Mater Research Institute - The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ilaria Croci
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
- K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Sor Trondelag, Norway
| | - Jeff S Coombes
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
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Torquati L, Coombes JS, Murray L, Hasnain SZ, Mallard AR, McGuckin MA, Fassett RG, Croci I, Ramos JS. Fibre Intake Is Independently Associated with Increased Circulating Interleukin-22 in Individuals with Metabolic Syndrome. Nutrients 2019; 11:E815. [PMID: 30978932 PMCID: PMC6520738 DOI: 10.3390/nu11040815] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 04/02/2019] [Accepted: 04/06/2019] [Indexed: 12/23/2022] Open
Abstract
The positive effects of dietary fibre on gut barrier function and inflammation have not been completely elucidated. Mice studies show gut barrier disruption and diet-induced insulin resistance can be alleviated by cytokine interleukin-22 (IL-22). However, little is known about IL-22 in humans and its association with gut-beneficial nutrients like fibre. We investigated whether fibre intake was associated with circulating levels of IL-22 in 48 participants with metabolic syndrome (MetS). Bivariate analysis was used to explore associations between circulating IL-22, fibre intake, MetS factors, body composition, and cardiorespiratory fitness (peak oxygen uptake, V ˙ O2peak). Hierarchical multiple regression (HMR) was used to test the independent association of fibre intake with circulating IL-22, adjusting for variables correlated with IL-22. Circulating IL-22 was positively associated with fibre intake (rs = 0.393, p < 0.006). The HMR-adjusted model explained 40% of circulating IL-22 variability, and fibre intake significantly improved the prediction model by 8.4% (p < 0.022). Participants with fibre intake above median intake of 21.5 g/day had a significantly higher circulating IL-22 than the lower intake group (308.3 ± 454.4 vs. 69.0 ± 106.4 pg/mL, p < 0.019). Fibre intake is independently associated with increased circulating IL-22 in individuals with MetS. Findings warrant further investigations to evaluate whether changes in dietary fibre intake alter circulating IL-22, and its effects on health outcomes.
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Affiliation(s)
- Luciana Torquati
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
- School of Sport and Health Sciences, University of Exeter, Exeter EX4 4PY, UK.
| | - Jeff S Coombes
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
| | - Lydia Murray
- Inflammatory Disease Biology and Therapeutics Group/Immunopathology Group, Translational Research Institute, The University of Queensland, Brisbane, Queensland 4072, Australia.
| | - Sumaira Z Hasnain
- Inflammatory Disease Biology and Therapeutics Group/Immunopathology Group, Translational Research Institute, The University of Queensland, Brisbane, Queensland 4072, Australia.
- Australian Infectious Disease Research Centre, The University of Queensland, Brisbane, Queensland 4072, Australia.
| | - Alistair R Mallard
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
| | - Michael A McGuckin
- Inflammatory Disease Biology and Therapeutics Group/Immunopathology Group, Translational Research Institute, The University of Queensland, Brisbane, Queensland 4072, Australia.
- Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria 3010, Australia.
| | - Robert G Fassett
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
| | - Ilaria Croci
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
- K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
| | - Joyce S Ramos
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
- SHAPE Research Centre, Exercise Science and Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia 5042, Australia.
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8
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Croci I, Coombes JS, Bucher Sandbakk S, Keating SE, Nauman J, Macdonald GA, Wisloff U. Non-alcoholic fatty liver disease: Prevalence and all-cause mortality according to sedentary behaviour and cardiorespiratory fitness. The HUNT Study. Prog Cardiovasc Dis 2019; 62:127-134. [PMID: 30796942 DOI: 10.1016/j.pcad.2019.01.005] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 01/23/2019] [Indexed: 12/16/2022]
Abstract
PURPOSE Sedentary behaviour (SB) and low physical activity (PA) are independently associated with non-alcoholic fatty liver disease (NAFLD). Compared to PA, high cardiorespiratory fitness (CRF) has been associated with a higher protection against all-cause mortality and a number of specific diseases. However, this relationship has not been investigated in NAFLD. This study examined the roles of SB and CRF on: i) the likelihood of having NAFLD in the general population, and ii) the risk of mortality over 9 years within individuals having NAFLD. METHODS A cross-sectional analysis of 15,781 adults (52% female; age range 19-95 years) was conducted. Self-reported SB was divided into tertiles. CRF was estimated using validated non-exercise models, and the presence of NAFLD from the Fatty Liver Index. Adjusted Odds Ratios and 95% Confidence Intervals for NAFLD were estimated using logistic regression analyses. Hazard Ratios for all-cause mortality were estimated using Cox proportional hazard regression in individuals with NAFLD. RESULTS For each additional 1 h/d of SB, the likelihood of having NAFLD was significantly increased by 4% (CI, 3-6%). In combined analyses, compared with the reference group [high CRF and low (≤4 h/d) SB], individuals with low CRF had a markedly higher likelihood of having NAFLD (OR, 16.9; CI 12.9-22.3), even if they had SB ≤ 4 h/d. High CRF attenuated the negative role of SB up to 7 h/d on NAFLD. Over 9.4 ± 1.3 years of follow-up, individuals with NAFLD and low CRF had the risk of mortality increased by 52% (CI, 10-106%) compared to those with high CRF, regardless of SB or meeting PA guidelines. CONCLUSIONS Low CRF increases the risk of premature death in individuals with NAFLD, and is strongly associated with higher likelihood of having NAFLD, outweighing the influence of SB.
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Affiliation(s)
- Ilaria Croci
- K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Sor Trondelag, Norway; School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, QLD, Australia.
| | - Jeff S Coombes
- School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, QLD, Australia
| | - Silvana Bucher Sandbakk
- K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Sor Trondelag, Norway
| | - Shelley E Keating
- School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, QLD, Australia
| | - Javaid Nauman
- K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Sor Trondelag, Norway; Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Graeme A Macdonald
- Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, QLD, Australia; Translational Research Institute, Brisbane, QLD, Australia
| | - Ulrik Wisloff
- K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Sor Trondelag, Norway; School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, QLD, Australia
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9
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Williams CJ, Gurd BJ, Bonafiglia JT, Voisin S, Li Z, Harvey N, Croci I, Taylor JL, Gajanand T, Ramos JS, Fassett RG, Little JP, Francois ME, Hearon CM, Sarma S, Janssen SLJE, Van Craenenbroeck EM, Beckers P, Cornelissen VA, Pattyn N, Howden EJ, Keating SE, Bye A, Stensvold D, Wisloff U, Papadimitriou I, Yan X, Bishop DJ, Eynon N, Coombes JS. A Multi-Center Comparison of O 2peak Trainability Between Interval Training and Moderate Intensity Continuous Training. Front Physiol 2019; 10:19. [PMID: 30804794 PMCID: PMC6370746 DOI: 10.3389/fphys.2019.00019] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Accepted: 01/10/2019] [Indexed: 12/25/2022] Open
Abstract
There is heterogeneity in the observed O2peak response to similar exercise training, and different exercise approaches produce variable degrees of exercise response (trainability). The aim of this study was to combine data from different laboratories to compare O2peak trainability between various volumes of interval training and Moderate Intensity Continuous Training (MICT). For interval training, volumes were classified by the duration of total interval time. High-volume High Intensity Interval Training (HIIT) included studies that had participants complete more than 15 min of high intensity efforts per session. Low-volume HIIT/Sprint Interval Training (SIT) included studies using less than 15 min of high intensity efforts per session. In total, 677 participants across 18 aerobic exercise training interventions from eight different universities in five countries were included in the analysis. Participants had completed 3 weeks or more of either high-volume HIIT (n = 299), low-volume HIIT/SIT (n = 116), or MICT (n = 262) and were predominately men (n = 495) with a mix of healthy, elderly and clinical populations. Each training intervention improved mean O2peak at the group level (P < 0.001). After adjusting for covariates, high-volume HIIT had a significantly greater (P < 0.05) absolute O2peak increase (0.29 L/min) compared to MICT (0.20 L/min) and low-volume HIIT/SIT (0.18 L/min). Adjusted relative O2peak increase was also significantly greater (P < 0.01) in high-volume HIIT (3.3 ml/kg/min) than MICT (2.4 ml/kg/min) and insignificantly greater (P = 0.09) than low-volume HIIT/SIT (2.5 mL/kg/min). Based on a high threshold for a likely response (technical error of measurement plus the minimal clinically important difference), high-volume HIIT had significantly more (P < 0.01) likely responders (31%) compared to low-volume HIIT/SIT (16%) and MICT (21%). Covariates such as age, sex, the individual study, population group, sessions per week, study duration and the average between pre and post O2peak explained only 17.3% of the variance in O2peak trainability. In conclusion, high-volume HIIT had more likely responders to improvements in O2peak compared to low-volume HIIT/SIT and MICT.
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Affiliation(s)
- Camilla J Williams
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Jacob T Bonafiglia
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Sarah Voisin
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Zhixiu Li
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology at Translational Research Institute, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Nicholas Harvey
- Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, Australia
| | - Ilaria Croci
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia.,K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jenna L Taylor
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Trishan Gajanand
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Joyce S Ramos
- SHAPE Research Centre, Exercise Science and Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
| | - Robert G Fassett
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Jonathan P Little
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, BC, Canada
| | - Monique E Francois
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, BC, Canada
| | - Christopher M Hearon
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Satyam Sarma
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Sylvan L J E Janssen
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States.,Department of Physiology, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Paul Beckers
- Cardiology Department, Antwerp University Hospital, Antwerp, Belgium
| | - Véronique A Cornelissen
- Department of Rehabilitation Sciences - Research Group for Rehabilitation in Internal Disorders, Catholic University of Leuven, Leuven, Belgium
| | - Nele Pattyn
- Department of Rehabilitation Sciences - Research Group for Rehabilitation in Internal Disorders, Catholic University of Leuven, Leuven, Belgium
| | - Erin J Howden
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Shelley E Keating
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Anja Bye
- K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,St. Olavs Hospital, Trondheim, Norway
| | - Dorthe Stensvold
- K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ulrik Wisloff
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia.,K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ioannis Papadimitriou
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Xu Yan
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia.,Australian Institute for Musculoskeletal Science (AIMSS), Melbourne, VIC, Australia
| | - David J Bishop
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia.,School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Nir Eynon
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Jeff S Coombes
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
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10
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Croci I, Byrne NM, Chachay VS, Hills AP, Clouston AD, O’Moore-Sullivan TM, Prins JB, Macdonald GA, Hickman IJ. The independent effects of dietary energy restriction and circuit exercise training on fat oxidation in patients with NAFLD. Obes Res Clin Pract 2019. [DOI: 10.1016/j.orcp.2016.10.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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11
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Croci I, Byrne NM, Chachay VS, Hills AP, Clouston AD, O’Moore-Sullivan TM, Prins JB, Macdonald GA, Hickman IJ. Independent effects of diet and exercise training on fat oxidation in non-alcoholic fatty liver disease. World J Hepatol 2016; 8:1137-1148. [PMID: 27721919 PMCID: PMC5037327 DOI: 10.4254/wjh.v8.i27.1137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Revised: 07/13/2016] [Accepted: 08/18/2016] [Indexed: 02/06/2023] Open
Abstract
AIM To investigate the independent effects of 6-mo of dietary energy restriction or exercise training on whole-body and hepatic fat oxidation of patients with non-alcoholic fatty liver disease (NAFLD).
METHODS Participants were randomised into either circuit exercise training (EX; n = 13; 3 h/wk without changes in dietary habits), or dietary energy restriction (ER) without changes in structured physical activity (ER; n = 8). Respiratory quotient (RQ) and whole-body fat oxidation rates (Fatox) were determined by indirect calorimetry under basal, insulin-stimulated and exercise conditions. Severity of disease and steatosis was determined by liver histology; hepatic Fatox was estimated from plasma β-hydroxybutyrate concentrations; cardiorespiratory fitness was expressed as VO2peak. Complete-case analysis was performed (EX: n = 10; ER: n = 6).
RESULTS Hepatic steatosis and NAFLD activity score decreased with ER but not with EX. β-hydroxybutyrate concentrations increased significantly in response to ER (0.08 ± 0.02 mmol/L vs 0.12 ± 0.04 mmol/L, P = 0.03) but remained unchanged in response to EX (0.10 ± 0.03 mmol/L vs 0.11 ± 0.07 mmol/L, P = 0.39). Basal RQ decreased (P = 0.05) in response to EX, while this change was not significant after ER (P = 0.38). VO2peak (P < 0.001) and maximal Fatox during aerobic exercise (P = 0.03) improved with EX but not with ER (P > 0.05). The increase in β-hydroxybutyrate concentrations was correlated with the reduction in hepatic steatosis (r = -0.56, P = 0.04).
CONCLUSION ER and EX lead to specific benefits on fat metabolism of patients with NAFLD. Increased hepatic Fatox in response to ER could be one mechanism through which the ER group achieved reduction in steatosis.
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12
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Skinner TL, Peeters GG, Croci I, Bell KR, Burton NW, Chambers SK, Bolam KA. Impact of a brief exercise program on the physical and psychosocial health of prostate cancer survivors: A pilot study. Asia Pac J Clin Oncol 2016; 12:225-34. [PMID: 26923217 DOI: 10.1111/ajco.12474] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 11/11/2015] [Accepted: 01/13/2016] [Indexed: 12/31/2022]
Abstract
AIM It is well established that exercise is beneficial for prostate cancer survivors. The challenge for health professionals is to create effective strategies to encourage survivors to exercise in the community. Many community exercise programs are brief in duration (e.g. <5 exercise sessions); whilst evidence for the efficacy of exercise within the literature are derived from exercise programs ≥8 weeks in duration, it is unknown if health benefits can be obtained from a shorter program. This study examined the effect of a four-session individualized and supervised exercise program on the physical and psychosocial health of prostate cancer survivors. METHODS Fifty-one prostate cancer survivors (mean age 69±7 years) were prescribed 1 h, individualized, supervised exercise sessions once weekly for 4 weeks. Participants were encouraged to increase their physical activity levels outside of the exercise sessions. Objective measures of muscular strength, exercise capacity, physical function and flexibility; and self-reported general, disease-specific and psychosocial health were assessed at baseline and following the intervention. RESULTS Improvements were observed in muscle strength (leg press 17.6 percent; P < 0.001), exercise capacity (400-m walk 9.3 percent; P < 0.001), physical function (repeated chair stands 20.1 percent, usual gait speed 19.3 percent, timed up-and-go 15.0 percent; P < 0.001), flexibility (chair sit and reach +2.9 cm; P < 0.001) and positive well-being (P = 0.014) following the exercise program. CONCLUSION A four-session exercise program significantly improved the muscular strength, exercise capacity, physical function and positive well-being of prostate cancer survivors. This short-duration exercise program is safe and feasible for prostate cancer survivors and a randomized controlled trial is now required to determine whether a similar individualized exercise regimen improves physical health and mental well-being over the short, medium and long term.
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Affiliation(s)
- Tina L Skinner
- The University of Queensland, Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, Brisbane, Queensland, Australia
| | - Gmme Geeske Peeters
- The University of Queensland, Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, Brisbane, Queensland, Australia.,The University of Queensland, School of Public Health, Brisbane, Queensland, Australia
| | - Ilaria Croci
- The University of Queensland, Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, Brisbane, Queensland, Australia
| | - Katherine R Bell
- The University of Queensland, Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, Brisbane, Queensland, Australia
| | - Nicola W Burton
- The University of Queensland, Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, Brisbane, Queensland, Australia
| | - Suzanne K Chambers
- The University of Queensland, Centre for Clinical Research, Brisbane, Queensland, Australia.,Griffith University, Griffith Health Institute, Southport, Queensland, Australia.,Cancer Council Queensland, Brisbane, Queensland, Australia.,Prostate Cancer Foundation of Australia, Sydney, New South Wales, Australia.,Edith Cowan University, Edith Cowan University Health and Wellness Institute, Joondalup, Western Australia, Australia
| | - Kate A Bolam
- The University of Queensland, Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, Brisbane, Queensland, Australia.,The Swedish School of Sport and Health Sciences, Åstrand Laboratory of Work Physiology, Stockholm, Sweden
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13
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Ipavec-Levasseur S, Croci I, Choquette S, Byrne NM, Cowin G, O'Moore-Sullivan TM, Prins JB, Hickman IJ. Effect of 1-h moderate-intensity aerobic exercise on intramyocellular lipids in obese men before and after a lifestyle intervention. Appl Physiol Nutr Metab 2015; 40:1262-8. [PMID: 26575100 DOI: 10.1139/apnm-2015-0258] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Intramyocellular lipids (IMCL) are depleted in response to an acute bout of exercise in lean endurance-trained individuals; however, it is unclear whether changes in IMCL content are also seen in response to acute and chronic exercise in obese individuals. We used magnetic resonance spectroscopy in 18 obese men and 5 normal-weight controls to assess IMCL content before and after an hour of cycling at the intensity corresponding with each participant's maximal whole-body rate of fat oxidation (Fatmax). Fatmax was determined via indirect calorimetry during a graded exercise test on a cycle ergometer. The same outcome measures were reassessed in the obese group after a 16-week lifestyle intervention comprising dietary calorie restriction and exercise training. At baseline, IMCL content decreased in response to 1 h of cycling at Fatmax in controls (2.8 ± 0.4 to 2.0 ± 0.3 A.U., -39%, p = 0.02), but not in obese (5.4 ± 2.1 vs. 5.2 ± 2.2 A.U., p = 0.42). The lifestyle intervention lead to weight loss (-10.0 ± 5.4 kg, p < 0.001), improvements in maximal aerobic power (+5.2 ± 3.4 mL/(kg·min)), maximal fat oxidation rate (+0.19 ± 0.22 g/min), and a 29% decrease in homeostasis model assessment score (all p < 0.05). However, when the 1 h of cycling at Fatmax was repeated after the lifestyle intervention, there remained no observable change in IMCL (4.6 ± 1.8 vs. 4.6 ± 1.9 A.U., p = 0.92). In summary, there was no IMCL depletion in response to 1 h of cycling at moderate intensity either before or after the lifestyle intervention in obese men. An effective lifestyle intervention including moderate-intensity exercise training did not impact rate of utilisation of IMCL during acute exercise in obese men.
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Affiliation(s)
| | - Ilaria Croci
- a The University of Queensland Diamantina Institute, Brisbane, Australia.,b School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Australia.,c Mater Research Institute, University of Queensland, Brisbane, Australia
| | - Stéphane Choquette
- d Faculty of Physical Education and Sports, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Nuala M Byrne
- e Bond Institute of Health and Sport, Bond University, Robina, Australia.,f Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Gary Cowin
- g Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - Trisha M O'Moore-Sullivan
- c Mater Research Institute, University of Queensland, Brisbane, Australia.,h Department of Diabetes and Endocrinology, Princess Alexandra Hospital, Brisbane, Australia
| | - Johannes B Prins
- c Mater Research Institute, University of Queensland, Brisbane, Australia
| | - Ingrid J Hickman
- a The University of Queensland Diamantina Institute, Brisbane, Australia.,c Mater Research Institute, University of Queensland, Brisbane, Australia
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14
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Croci I, Hickman IJ, Wood RE, Borrani F, Macdonald GA, Byrne NM. Fat oxidation over a range of exercise intensities: fitness versus fatness. Appl Physiol Nutr Metab 2014; 39:1352-9. [PMID: 25356842 DOI: 10.1139/apnm-2014-0144] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Maximal fat oxidation (MFO), as well as the exercise intensity at which it occurs (Fatmax), have been reported as lower in sedentary overweight individuals but have not been studied in trained overweight individuals. The aim of this study was to compare Fatmax and MFO in lean and overweight recreationally trained males matched for cardiorespiratory fitness (CRF) and to study the relationships between these variables, anthropometric characteristics, and CRF. Twelve recreationally trained overweight (high fatness (HiFat) group, 30.0% ± 5.3% body fat) and 12 lean males (low fatness (LoFat), 17.2% ± 5.7% body fat) matched for CRF (maximal oxygen consumption (V̇O2max) 39.0 ± 5.5 vs. 41.4 ± 7.6 mL·kg(-1)·min(-1), p = 0.31) and age (p = 0.93) performed a graded exercise test on a cycle ergometer. V̇O2max and fat and carbohydrate oxidation rates were determined using indirect calorimetry; Fatmax and MFO were determined with a mathematical model (SIN); and % body fat was assessed by air displacement plethysmography. MFO (0.38 ± 0.19 vs. 0.42 ± 0.16 g·min(-1), p = 0.58), Fatmax (46.7% ± 8.6% vs. 45.4% ± 7.2% V̇O2max, p = 0.71), and fat oxidation rates over a wide range of exercise intensities were not significantly different (p > 0.05) between HiFat and LoFat groups. In the overall cohort (n = 24), MFO and Fatmax were correlated with V̇O2max (r = 0.46, p = 0.02; r = 0.61, p = 0.002) but not with % body fat or body mass index (p > 0.05). Fat oxidation during exercise was similar in recreationally trained overweight and lean males matched for CRF. Consistently, substrate oxidation rates during exercise were not related to adiposity (% body fat) but were related to CRF. The benefits of high CRF independent of body weight and % body fat should be further highlighted in the management of obesity.
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Affiliation(s)
- Ilaria Croci
- a The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, St Lucia QLD 4072, Australia
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Croci I, Borrani F, Byrne N, Wood R, Hickman I, Chenevière X, Malatesta D. Reproducibility of Fatmax and fat oxidation rates during exercise in recreationally trained males. PLoS One 2014; 9:e97930. [PMID: 24886715 PMCID: PMC4041727 DOI: 10.1371/journal.pone.0097930] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2013] [Accepted: 04/25/2014] [Indexed: 12/13/2022] Open
Abstract
Aerobic exercise training performed at the intensity eliciting maximal fat oxidation (Fat(max)) has been shown to improve the metabolic profile of obese patients. However, limited information is available on the reproducibility of Fat(max) and related physiological measures. The aim of this study was to assess the intra-individual variability of: a) Fat(max) measurements determined using three different data analysis approaches and b) fat and carbohydrate oxidation rates at rest and at each stage of an individualized graded test. Fifteen healthy males [body mass index 23.1 ± 0.6 kg/m(2), maximal oxygen consumption (VO2max) 52.0 ± 2.0 ml/kg/min] completed a maximal test and two identical submaximal incremental tests on ergocycle (30-min rest followed by 5-min stages with increments of 7.5% of the maximal power output). Fat and carbohydrate oxidation rates were determined using indirect calorimetry. Fat(max) was determined with three approaches: the sine model (SIN), measured values (MV) and 3rd polynomial curve (P3). Intra-individual coefficients of variation (CVs) and limits of agreement were calculated. CV for Fat(max) determined with SIN was 16.4% and tended to be lower than with P3 and MV (18.6% and 20.8%, respectively). Limits of agreement for Fat(max) were -2 ± 27% of VO2max with SIN, -4 ± 32 with P3 and -4 ± 28 with MV. CVs of oxygen uptake, carbon dioxide production and respiratory exchange rate were <10% at rest and <5% during exercise. Conversely, CVs of fat oxidation rates (20% at rest and 24-49% during exercise) and carbohydrate oxidation rates (33.5% at rest, 8.5-12.9% during exercise) were higher. The intra-individual variability of Fat(max) and fat oxidation rates was high (CV>15%), regardless of the data analysis approach employed. Further research on the determinants of the variability of Fat(max) and fat oxidation rates is required.
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Affiliation(s)
- Ilaria Croci
- The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, Australia
- School of Human Movement Studies, University of Queensland, Brisbane, Australia
- * E-mail:
| | - Fabio Borrani
- Institute of Sport Sciences University of Lausanne, University of Lausanne, Lausanne, Switzerland
- Department of Physiology, University of Lausanne, Lausanne, Switzerland
| | - Nuala Byrne
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
- Bond Institute of Health and Sport, Bond University, Robina, Australia
| | - Rachel Wood
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Ingrid Hickman
- The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, Australia
- Department of Nutrition and Dietetics, Princess Alexandra Hospital, Brisbane, Australia
- Mater Medical Research Institute, Mater Mother’s Hospital, Brisbane, Australia
| | - Xavier Chenevière
- Institute of Sport Sciences University of Lausanne, University of Lausanne, Lausanne, Switzerland
- Department of Medicine, University of Fribourg, Fribourg, Switzerland
| | - Davide Malatesta
- Institute of Sport Sciences University of Lausanne, University of Lausanne, Lausanne, Switzerland
- Department of Physiology, University of Lausanne, Lausanne, Switzerland
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Croci I, Byrne NM, Choquette S, Hills AP, Chachay VS, Clouston AD, O'Moore-Sullivan TM, Macdonald GA, Prins JB, Hickman IJ. Whole-body substrate metabolism is associated with disease severity in patients with non-alcoholic fatty liver disease. Gut 2013; 62:1625-33. [PMID: 23077135 DOI: 10.1136/gutjnl-2012-302789] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVES In non-alcoholic fatty liver disease (NAFLD), hepatic steatosis is intricately linked with a number of metabolic alterations. We studied substrate utilisation in NAFLD during basal, insulin-stimulated and exercise conditions, and correlated these outcomes with disease severity. METHODS 20 patients with NAFLD (mean ± SD body mass index (BMI) 34.1 ± 6.7 kg/m(2)) and 15 healthy controls (BMI 23.4 ± 2.7 kg/m(2)) were assessed. Respiratory quotient (RQ), whole-body fat (Fat ox) and carbohydrate (CHO ox) oxidation rates were determined by indirect calorimetry in three conditions: basal (resting and fasted), insulin-stimulated (hyperinsulinaemic-euglycaemic clamp) and exercise (cycling at an intensity to elicit maximal Fat ox). Severity of disease and steatosis were determined by liver histology, hepatic Fat ox from plasma β-hydroxybutyrate concentrations, aerobic fitness expressed as VO2 peak, and visceral adipose tissue (VAT) measured by computed tomography. RESULTS Within the overweight/obese NAFLD cohort, basal RQ correlated positively with steatosis (r=0.57, p=0.01) and was higher (indicating smaller contribution of Fat ox to energy expenditure) in patients with NAFLD activity score (NAS) ≥ 5 vs <5 (p=0.008). Both results were independent of VAT, % body fat and BMI. Compared with the lean control group, patients with NAFLD had lower basal whole-body Fat ox (1.2 ± 0.3 vs 1.5 ± 0.4 mg/kg FFM/min, p=0.024) and lower basal hepatic Fat ox (ie, β-hydroxybutyrate, p=0.004). During exercise, they achieved lower maximal Fat ox (2.5 ± 1.4 vs. 5.8 ± 3.7 mg/kg FFM/min, p=0.002) and lower VO2 peak (p<0.001) than controls. Fat ox during exercise was not associated with disease severity (p=0.79). CONCLUSIONS Overweight/obese patients with NAFLD had reduced hepatic Fat ox and reduced whole-body Fat ox under basal and exercise conditions. There was an inverse relationship between ability to oxidise fat in basal conditions and histological features of NAFLD including severity of steatosis and NAS.
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Affiliation(s)
- Ilaria Croci
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia
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