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Recovery, Fatigability, and Proteomic Response to Aerobic Exercise Training in Healthy Individuals

Primary Purpose

Adult, Fatigue

Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Aerobic Exercise Training
Sponsored by
George Mason University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional basic science trial for Adult focused on measuring recovery, proteomics, cardiorespiratory fitness, exercise, aerobic exercise training

Eligibility Criteria

18 Years - 60 Years (Adult)All SexesAccepts Healthy Volunteers

Inclusion Criteria:

  • age 18-60
  • body mass index > 19 to <35 kg/m2
  • able to pedal leg cycle ergometer
  • able to comprehend and speak English

Exclusion Criteria:

  • diabetes mellitus
  • significant pulmonary dysfunction (eg. chronic obstructive lung disease; interstitial lung disease)
  • hypertension
  • anemia
  • stroke
  • cancer (other than melanoma)
  • cardiac, pulmonary, thyroid, autoimmune, musculoskeletal, neurological, metabolic bone, mitochondrial, hepatic, renal, and/or psychiatric disease
  • abnormal blood lipids
  • active substance abuse or cognitive impairment
  • chronic infection requiring antiviral or antibiotic treatment
  • taking any medications that may limit exercise capacity or the ability to adapt to aerobic exercise training
  • previously or currently on anticoagulant therapy or therapeutic hormone replacement/supplementation (excluding birth control)
  • pregnant
  • smoking

Sites / Locations

  • George Mason University

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

Healthy

Arm Description

Healthy individuals will participate in two separate days of cardiopulmonary exercise testing (CPET) (separated by a minimum of two, maximum of 7 days apart) prior to starting the aerobic exercise training program (AET). Individuals will then complete a 4-5 week (4x/week x 17 sessions) continuous, high-intensity AET. Each training session will consist of cycling for 3-5 minutes to warm-up, 45 minutes at 70% of heart rate reserve (HRR-determined from pre-training CPET), and 5-10 minutes to cool down. Following the AET, individuals will repeat the two separate days of CPET performed pre-training.

Outcomes

Primary Outcome Measures

Non-metabolic VCO2
Correlate measures of non-metabolic carbon dioxide (as measured by the contribution of total expired non-metabolic VCO2) with the correlative relationship between fatigability (as measured by total time during an endurance CPET and on-kinetics during a constant square-wave CPET) and recovery (as measured by VO2 and VCO2 following maximal and submaximal CPET). Compare changes in measures of non-metabolic carbon dioxide (as measured by the contribution of total expired non-metabolic VCO2) and changes in oxygen consumption (as measured by VO2) pre and post exercise training.

Secondary Outcome Measures

Urinary proteome
Proteome of urine samples as measured by mass spectrometry

Full Information

First Posted
December 18, 2018
Last Updated
May 14, 2019
Sponsor
George Mason University
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1. Study Identification

Unique Protocol Identification Number
NCT03800342
Brief Title
Recovery, Fatigability, and Proteomic Response to Aerobic Exercise Training in Healthy Individuals
Official Title
Recovery, Fatigability, and Proteomic Response to Aerobic Exercise Training in Healthy Individuals
Study Type
Interventional

2. Study Status

Record Verification Date
May 2019
Overall Recruitment Status
Completed
Study Start Date
January 22, 2019 (Actual)
Primary Completion Date
April 24, 2019 (Actual)
Study Completion Date
April 24, 2019 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
George Mason University

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
The purpose of this protocol is to investigate the role of expired non-metabolic carbon dioxide in the relationship between fatigability and recovery and the response to aerobic exercise training in healthy individuals. Both fatigability and recovery are profoundly influenced by mitochondrial energetics which can be inhibited by ionic by-product accumulation during exercise. Buffering mechanisms of these fatigue-inducing ions releases non-metabolic carbon dioxide (CO2) that can be measured as expired CO2 (VCO2) during cardiopulmonary exercise testing (CPET), however the role of non-metabolic VCO2 in the relationship between fatigability and recovery has yet to be investigated. Furthermore, this study aims to identify the how the patterns of proteins in healthy individuals respond to aerobic exercise training (e.g. stationary cycling) over approximately one month. The underlying mechanisms of recovery after physical activity, including mechanisms or biological pathways that could be highlighted by analysis of proteins in urine, could add to scientific knowledge regarding physical activity tolerance and potential exercise interventions. This knowledge could eventually assist with designing precise and personalized exercise interventions to improve physical activity performance. The investigators hypothesize that 1) non-metabolic CO2 will be at least moderately associated with the inverse relationship between fatigability and recovery; and 2) highly active adults, compared to sedentary individuals, will exhibit differential proteomic patterns in response to an initial acute bout and subsequent repeated bouts of aerobic exercise.
Detailed Description
Subjects will be recruited from the greater Washington D.C. metro area by word of mouth, university classes, healthcare provider referral, social media posting, and by posted fliers. Healthy males and females as determined by the Physical Activity Readiness Questionnaire Plus (PARQ+) will qualify to participate, regardless of their fitness level. The study design and participation will be explained to those who are potentially interested in participating in the study. Individuals interested in participating as subjects will complete the PARQ+ and those answering "no" to all of the PARQ+ questions will qualify for inclusion. Those answering "yes" to one or more of the questions will be asked follow-up questions to determine if they meet inclusion/exclusion criteria. Subjects will then be consented and enrolled for participation. Visit 1: Subjects meeting all inclusion criteria and no exclusion criterion will be consented and enrolled in the study. Subjects will then complete the International Physical Activity Questionnaire (IPAQ) to describe their current levels of physical activity. Height and weight measurements of the subject will also be taken. Subjects will then complete a standard peak cardiopulmonary exercise test (pkCPET) to volitional exhaustion with near infrared spectroscopy (NIRS) assessment of muscle oxygenation and microvascular reactivity, bioimpedance cardiographic (ZCG) assessment of cardiac output and stroke volume, and electrocardiographic (EKG) measurement of heart rate (HR) at rest and during exercise. After a 10-minute passive recovery period, subjects will perform an endurance based CPET (enCPET) at intensity of 70% of the peak wattage reached during the pkCPET, again to volitional exhaustion followed by a final 10-minute passive recovery period to conclude day one of testing. Visit 2: Subjects will complete a submaximal square-wave test (swCPET) for measurement of oxygen on-kinetics. After a 10-minute recovery period, subjects will complete the same enCPET they performed during Visit 1 testing. This testing will again be followed by a 10-minute recovery period. EKG measurements of HR will be taken during exercise and rest periods. Subjects will receive a urine collection cup to be used prior to visit 3. Subjects will be asked to collect approximately 75-90 mL of urine on the morning of Visit 3 to provide upon arrival. Subjects will be asked to log food intake using the form described below for 48 hours, starting 24 hours prior to Visit 3. Visits 3-19: On days 3-19, subjects will complete a continuous high intensity aerobic exercise training (AET) protocol. Subjects will warm up for approximately 5-minutes, exercise within their predetermined HR range for 45 minutes, followed by a 5-10 min recovery period. HR will be monitored using a Polar chest strap worn by the subject and a paired watch and the heart rate reading on the cycle ergometer monitored by the investigators. The entire training session will take approximately 60 minutes. Following Visit 3, subjects will be provided with a 2nd urine sample cup and asked to collect a "first-morning" urine sample (75-90mL) at home on the day after visit 3. Subjects will be asked to provide subsequent first-morning midstream urine samples at home on the morning of and the morning after visits 7, 11, 15, and 19 (10 total urine samples). Subjects will be provided with a copy of their initial food log and asked to repeat their nutritional intake for the same timeframe as the initial sample for each subsequent sample (24 hours prior to pre-exercise sample until post-exercise sample). Visit 20: Subjects will repeat the same procedures performed at Visit 1 including a pkCPET, 10-minute recovery, enCPET, 10-minute recovery, in that order. NIRS, ZCG, and EKG again will be collected throughout both the active and recovery portions of the testing. Visit 21: Subjects will repeat the same procedures performed on day two of testing including a swCPET, 10-minute recovery, enCPET, 10-minute recovery, in the order. EKG data will again be collected during the active and recovery portions of the testing.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Adult, Fatigue
Keywords
recovery, proteomics, cardiorespiratory fitness, exercise, aerobic exercise training

7. Study Design

Primary Purpose
Basic Science
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Model Description
One arm, a single group of healthy individuals, will perform cardiopulmonary exercise testing pre and post an aerobic exercise training program.
Masking
None (Open Label)
Allocation
N/A
Enrollment
21 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Healthy
Arm Type
Experimental
Arm Description
Healthy individuals will participate in two separate days of cardiopulmonary exercise testing (CPET) (separated by a minimum of two, maximum of 7 days apart) prior to starting the aerobic exercise training program (AET). Individuals will then complete a 4-5 week (4x/week x 17 sessions) continuous, high-intensity AET. Each training session will consist of cycling for 3-5 minutes to warm-up, 45 minutes at 70% of heart rate reserve (HRR-determined from pre-training CPET), and 5-10 minutes to cool down. Following the AET, individuals will repeat the two separate days of CPET performed pre-training.
Intervention Type
Other
Intervention Name(s)
Aerobic Exercise Training
Intervention Description
see arm/group description
Primary Outcome Measure Information:
Title
Non-metabolic VCO2
Description
Correlate measures of non-metabolic carbon dioxide (as measured by the contribution of total expired non-metabolic VCO2) with the correlative relationship between fatigability (as measured by total time during an endurance CPET and on-kinetics during a constant square-wave CPET) and recovery (as measured by VO2 and VCO2 following maximal and submaximal CPET). Compare changes in measures of non-metabolic carbon dioxide (as measured by the contribution of total expired non-metabolic VCO2) and changes in oxygen consumption (as measured by VO2) pre and post exercise training.
Time Frame
pre and post 5 week (4 training sessions per week, 17 total sessions) aerobic exercise training protocol
Secondary Outcome Measure Information:
Title
Urinary proteome
Description
Proteome of urine samples as measured by mass spectrometry
Time Frame
This outcome will be assessed at 10 time points per participant: each morning of visits 3,4,7,8,11,12,15,16,19, and 20. Data will be collected during these 5 weeks and at post-testing occurring the week following the end of training.

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
60 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria: age 18-60 body mass index > 19 to <35 kg/m2 able to pedal leg cycle ergometer able to comprehend and speak English Exclusion Criteria: diabetes mellitus significant pulmonary dysfunction (eg. chronic obstructive lung disease; interstitial lung disease) hypertension anemia stroke cancer (other than melanoma) cardiac, pulmonary, thyroid, autoimmune, musculoskeletal, neurological, metabolic bone, mitochondrial, hepatic, renal, and/or psychiatric disease abnormal blood lipids active substance abuse or cognitive impairment chronic infection requiring antiviral or antibiotic treatment taking any medications that may limit exercise capacity or the ability to adapt to aerobic exercise training previously or currently on anticoagulant therapy or therapeutic hormone replacement/supplementation (excluding birth control) pregnant smoking
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Andrew A Guccione, PT, PhD, DPT
Organizational Affiliation
George Mason University
Official's Role
Principal Investigator
Facility Information:
Facility Name
George Mason University
City
Fairfax
State/Province
Virginia
ZIP/Postal Code
22030
Country
United States

12. IPD Sharing Statement

Plan to Share IPD
No
Citations:
PubMed Identifier
23798298
Citation
Booth FW, Roberts CK, Laye MJ. Lack of exercise is a major cause of chronic diseases. Compr Physiol. 2012 Apr;2(2):1143-211. doi: 10.1002/cphy.c110025.
Results Reference
background
PubMed Identifier
22818936
Citation
Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT; Lancet Physical Activity Series Working Group. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012 Jul 21;380(9838):219-29. doi: 10.1016/S0140-6736(12)61031-9.
Results Reference
background
PubMed Identifier
26606383
Citation
Pedersen BK, Saltin B. Exercise as medicine - evidence for prescribing exercise as therapy in 26 different chronic diseases. Scand J Med Sci Sports. 2015 Dec;25 Suppl 3:1-72. doi: 10.1111/sms.12581.
Results Reference
background
PubMed Identifier
19958872
Citation
Moholdt TT, Amundsen BH, Rustad LA, Wahba A, Lovo KT, Gullikstad LR, Bye A, Skogvoll E, Wisloff U, Slordahl SA. Aerobic interval training versus continuous moderate exercise after coronary artery bypass surgery: a randomized study of cardiovascular effects and quality of life. Am Heart J. 2009 Dec;158(6):1031-7. doi: 10.1016/j.ahj.2009.10.003.
Results Reference
background
PubMed Identifier
17967770
Citation
Mora S, Cook N, Buring JE, Ridker PM, Lee IM. Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms. Circulation. 2007 Nov 6;116(19):2110-8. doi: 10.1161/CIRCULATIONAHA.107.729939. Epub 2007 Oct 22.
Results Reference
background
PubMed Identifier
20345416
Citation
Booth FW, Laye MJ. The future: genes, physical activity and health. Acta Physiol (Oxf). 2010 Aug;199(4):549-56. doi: 10.1111/j.1748-1716.2010.02117.x. Epub 2010 Mar 24.
Results Reference
background
PubMed Identifier
30236049
Citation
Santos-Parker JR, Santos-Parker KS, McQueen MB, Martens CR, Seals DR. Habitual aerobic exercise and circulating proteomic patterns in healthy adults: relation to indicators of healthspan. J Appl Physiol (1985). 2018 Nov 1;125(5):1646-1659. doi: 10.1152/japplphysiol.00458.2018. Epub 2018 Sep 20.
Results Reference
background
PubMed Identifier
9784121
Citation
Collins FS, Patrinos A, Jordan E, Chakravarti A, Gesteland R, Walters L. New goals for the U.S. Human Genome Project: 1998-2003. Science. 1998 Oct 23;282(5389):682-9. doi: 10.1126/science.282.5389.682.
Results Reference
background
PubMed Identifier
26014593
Citation
Jameson JL, Longo DL. Precision medicine--personalized, problematic, and promising. N Engl J Med. 2015 Jun 4;372(23):2229-34. doi: 10.1056/NEJMsb1503104. Epub 2015 May 27. No abstract available.
Results Reference
background
PubMed Identifier
29893975
Citation
Cornwall J, Elliott JM, Walton DM, Osmotherly PG. Clinical Genomics in Physical Therapy: Where to From Here? Phys Ther. 2018 Sep 1;98(9):733-736. doi: 10.1093/ptj/pzy069. No abstract available.
Results Reference
background
PubMed Identifier
23382011
Citation
Buford TW, Roberts MD, Church TS. Toward exercise as personalized medicine. Sports Med. 2013 Mar;43(3):157-65. doi: 10.1007/s40279-013-0018-0.
Results Reference
background
PubMed Identifier
26542523
Citation
Davidsen PK, Turan N, Egginton S, Falciani F. Multilevel functional genomics data integration as a tool for understanding physiology: a network biology perspective. J Appl Physiol (1985). 2016 Feb 1;120(3):297-309. doi: 10.1152/japplphysiol.01110.2014. Epub 2015 Nov 5.
Results Reference
background
PubMed Identifier
25145492
Citation
Magni R, Espina BH, Liotta LA, Luchini A, Espina V. Hydrogel nanoparticle harvesting of plasma or urine for detecting low abundance proteins. J Vis Exp. 2014 Aug 7;(90):e51789. doi: 10.3791/51789.
Results Reference
background
PubMed Identifier
29320704
Citation
Whitham M, Parker BL, Friedrichsen M, Hingst JR, Hjorth M, Hughes WE, Egan CL, Cron L, Watt KI, Kuchel RP, Jayasooriah N, Estevez E, Petzold T, Suter CM, Gregorevic P, Kiens B, Richter EA, James DE, Wojtaszewski JFP, Febbraio MA. Extracellular Vesicles Provide a Means for Tissue Crosstalk during Exercise. Cell Metab. 2018 Jan 9;27(1):237-251.e4. doi: 10.1016/j.cmet.2017.12.001.
Results Reference
background
PubMed Identifier
20930125
Citation
Keller P, Vollaard NB, Gustafsson T, Gallagher IJ, Sundberg CJ, Rankinen T, Britton SL, Bouchard C, Koch LG, Timmons JA. A transcriptional map of the impact of endurance exercise training on skeletal muscle phenotype. J Appl Physiol (1985). 2011 Jan;110(1):46-59. doi: 10.1152/japplphysiol.00634.2010. Epub 2010 Oct 7.
Results Reference
background
PubMed Identifier
25663672
Citation
Hecksteden A, Kraushaar J, Scharhag-Rosenberger F, Theisen D, Senn S, Meyer T. Individual response to exercise training - a statistical perspective. J Appl Physiol (1985). 2015 Jun 15;118(12):1450-9. doi: 10.1152/japplphysiol.00714.2014. Epub 2015 Feb 5.
Results Reference
background
PubMed Identifier
26050974
Citation
Lane RK, Hilsabeck T, Rea SL. The role of mitochondrial dysfunction in age-related diseases. Biochim Biophys Acta. 2015 Nov;1847(11):1387-400. doi: 10.1016/j.bbabio.2015.05.021. Epub 2015 Jun 4.
Results Reference
background
PubMed Identifier
19268720
Citation
Lombardi A, Silvestri E, Cioffi F, Senese R, Lanni A, Goglia F, de Lange P, Moreno M. Defining the transcriptomic and proteomic profiles of rat ageing skeletal muscle by the use of a cDNA array, 2D- and Blue native-PAGE approach. J Proteomics. 2009 May 2;72(4):708-21. doi: 10.1016/j.jprot.2009.02.007. Epub 2009 Mar 5.
Results Reference
background
PubMed Identifier
17548726
Citation
Wisloff U, Stoylen A, Loennechen JP, Bruvold M, Rognmo O, Haram PM, Tjonna AE, Helgerud J, Slordahl SA, Lee SJ, Videm V, Bye A, Smith GL, Najjar SM, Ellingsen O, Skjaerpe T. Superior cardiovascular effect of aerobic interval training versus moderate continuous training in heart failure patients: a randomized study. Circulation. 2007 Jun 19;115(24):3086-94. doi: 10.1161/CIRCULATIONAHA.106.675041. Epub 2007 Jun 4.
Results Reference
background
PubMed Identifier
23851406
Citation
Thompson PD, Arena R, Riebe D, Pescatello LS; American College of Sports Medicine. ACSM's new preparticipation health screening recommendations from ACSM's guidelines for exercise testing and prescription, ninth edition. Curr Sports Med Rep. 2013 Jul-Aug;12(4):215-7. doi: 10.1249/JSR.0b013e31829a68cf. No abstract available.
Results Reference
background
PubMed Identifier
19222236
Citation
Oberg AL, Vitek O. Statistical design of quantitative mass spectrometry-based proteomic experiments. J Proteome Res. 2009 May;8(5):2144-56. doi: 10.1021/pr8010099.
Results Reference
background
PubMed Identifier
26791624
Citation
Gemperline DC, Scalf M, Smith LM, Vierstra RD. Morpheus Spectral Counter: A computational tool for label-free quantitative mass spectrometry using the Morpheus search engine. Proteomics. 2016 Mar;16(6):920-4. doi: 10.1002/pmic.201500420.
Results Reference
background
PubMed Identifier
25177766
Citation
Lavallee-Adam M, Rauniyar N, McClatchy DB, Yates JR 3rd. PSEA-Quant: a protein set enrichment analysis on label-free and label-based protein quantification data. J Proteome Res. 2014 Dec 5;13(12):5496-509. doi: 10.1021/pr500473n. Epub 2014 Oct 16.
Results Reference
background
PubMed Identifier
27461997
Citation
Pascovici D, Handler DC, Wu JX, Haynes PA. Multiple testing corrections in quantitative proteomics: A useful but blunt tool. Proteomics. 2016 Sep;16(18):2448-53. doi: 10.1002/pmic.201600044.
Results Reference
background
PubMed Identifier
23892338
Citation
Finsterer J, Mahjoub SZ. Fatigue in healthy and diseased individuals. Am J Hosp Palliat Care. 2014 Aug;31(5):562-75. doi: 10.1177/1049909113494748. Epub 2013 Jul 26.
Results Reference
background
PubMed Identifier
10081212
Citation
Aaronson LS, Teel CS, Cassmeyer V, Neuberger GB, Pallikkathayil L, Pierce J, Press AN, Williams PD, Wingate A. Defining and measuring fatigue. Image J Nurs Sch. 1999;31(1):45-50. doi: 10.1111/j.1547-5069.1999.tb00420.x.
Results Reference
background
PubMed Identifier
20656622
Citation
Eldadah BA. Fatigue and fatigability in older adults. PM R. 2010 May;2(5):406-13. doi: 10.1016/j.pmrj.2010.03.022.
Results Reference
background
PubMed Identifier
28666548
Citation
Kim I, Hacker E, Ferrans CE, Horswill C, Park C, Kapella M. Evaluation of fatigability measurement: Integrative review. Geriatr Nurs. 2018 Jan-Feb;39(1):39-47. doi: 10.1016/j.gerinurse.2017.05.014. Epub 2017 Jun 27.
Results Reference
background
PubMed Identifier
25313451
Citation
Keyser RE, Woolstenhulme JG, Chin LM, Nathan SD, Weir NA, Connors G, Drinkard B, Lamberti J, Chan L. Cardiorespiratory function before and after aerobic exercise training in patients with interstitial lung disease. J Cardiopulm Rehabil Prev. 2015 Jan-Feb;35(1):47-55. doi: 10.1097/HCR.0000000000000083.
Results Reference
background
PubMed Identifier
26565376
Citation
Barbosa JF, Bruno SS, Cruz NS, de Oliveira JS, Ruaro JA, Guerra RO. Perceived fatigability and metabolic and energetic responses to 6-minute walk test in older women. Physiotherapy. 2016 Sep;102(3):294-9. doi: 10.1016/j.physio.2015.08.008. Epub 2015 Sep 28.
Results Reference
background
PubMed Identifier
20656616
Citation
Keyser RE. Peripheral fatigue: high-energy phosphates and hydrogen ions. PM R. 2010 May;2(5):347-58. doi: 10.1016/j.pmrj.2010.04.009.
Results Reference
background
PubMed Identifier
11738220
Citation
Nanas S, Nanas J, Kassiotis C, Nikolaou C, Tsagalou E, Sakellariou D, Terovitis I, Papazachou O, Drakos S, Papamichalopoulos A, Roussos C. Early recovery of oxygen kinetics after submaximal exercise test predicts functional capacity in patients with chronic heart failure. Eur J Heart Fail. 2001 Dec;3(6):685-92. doi: 10.1016/s1388-9842(01)00187-8.
Results Reference
background
PubMed Identifier
9216958
Citation
Short KR, Sedlock DA. Excess postexercise oxygen consumption and recovery rate in trained and untrained subjects. J Appl Physiol (1985). 1997 Jul;83(1):153-9. doi: 10.1152/jappl.1997.83.1.153.
Results Reference
background
PubMed Identifier
12871687
Citation
Belardinelli R, Lacalaprice F, Carle F, Minnucci A, Cianci G, Perna G, D'Eusanio G. Exercise-induced myocardial ischaemia detected by cardiopulmonary exercise testing. Eur Heart J. 2003 Jul;24(14):1304-13. doi: 10.1016/s0195-668x(03)00210-0.
Results Reference
background
PubMed Identifier
9688429
Citation
Scrutinio D, Passantino A, Lagioia R, Napoli F, Ricci A, Rizzon P. Percent achieved of predicted peak exercise oxygen uptake and kinetics of recovery of oxygen uptake after exercise for risk stratification in chronic heart failure. Int J Cardiol. 1998 Apr 1;64(2):117-24. doi: 10.1016/s0167-5273(98)00019-9.
Results Reference
background
PubMed Identifier
27701422
Citation
Thompson RB, Pagano JJ, Mathewson KW, Paterson I, Dyck JR, Kitzman DW, Haykowsky MJ. Differential Responses of Post-Exercise Recovery of Leg Blood Flow and Oxygen Uptake Kinetics in HFpEF versus HFrEF. PLoS One. 2016 Oct 4;11(10):e0163513. doi: 10.1371/journal.pone.0163513. eCollection 2016.
Results Reference
background
PubMed Identifier
27562396
Citation
Fiedler GB, Schmid AI, Goluch S, Schewzow K, Laistler E, Niess F, Unger E, Wolzt M, Mirzahosseini A, Kemp GJ, Moser E, Meyerspeer M. Skeletal muscle ATP synthesis and cellular H(+) handling measured by localized (31)P-MRS during exercise and recovery. Sci Rep. 2016 Aug 26;6:32037. doi: 10.1038/srep32037.
Results Reference
background
PubMed Identifier
22964543
Citation
Bower JE. Fatigue, brain, behavior, and immunity: summary of the 2012 Named Series on fatigue. Brain Behav Immun. 2012 Nov;26(8):1220-3. doi: 10.1016/j.bbi.2012.08.009. Epub 2012 Aug 31.
Results Reference
background
PubMed Identifier
19176328
Citation
Vestergaard S, Nayfield SG, Patel KV, Eldadah B, Cesari M, Ferrucci L, Ceresini G, Guralnik JM. Fatigue in a representative population of older persons and its association with functional impairment, functional limitation, and disability. J Gerontol A Biol Sci Med Sci. 2009 Jan;64(1):76-82. doi: 10.1093/gerona/gln017. Epub 2009 Jan 27.
Results Reference
background
PubMed Identifier
22860899
Citation
Schnelle JF, Buchowski MS, Ikizler TA, Durkin DW, Beuscher L, Simmons SF. Evaluation of two fatigability severity measures in elderly adults. J Am Geriatr Soc. 2012 Aug;60(8):1527-33. doi: 10.1111/j.1532-5415.2012.04062.x. Epub 2012 Aug 2.
Results Reference
background
PubMed Identifier
20722821
Citation
Alexander NB, Taffet GE, Horne FM, Eldadah BA, Ferrucci L, Nayfield S, Studenski S. Bedside-to-Bench conference: research agenda for idiopathic fatigue and aging. J Am Geriatr Soc. 2010 May;58(5):967-75. doi: 10.1111/j.1532-5415.2010.02811.x.
Results Reference
background
PubMed Identifier
29368427
Citation
Distefano G, Standley RA, Zhang X, Carnero EA, Yi F, Cornnell HH, Coen PM. Physical activity unveils the relationship between mitochondrial energetics, muscle quality, and physical function in older adults. J Cachexia Sarcopenia Muscle. 2018 Apr;9(2):279-294. doi: 10.1002/jcsm.12272. Epub 2018 Jan 24.
Results Reference
background
PubMed Identifier
8752810
Citation
de Groote P, Millaire A, Decoulx E, Nugue O, Guimier P, Ducloux. Kinetics of oxygen consumption during and after exercise in patients with dilated cardiomyopathy. New markers of exercise intolerance with clinical implications. J Am Coll Cardiol. 1996 Jul;28(1):168-75. doi: 10.1016/0735-1097(96)00126-x.
Results Reference
background
PubMed Identifier
27979503
Citation
Garcia-Saldivia M, Ilarraza-Lomeli H, Myers J, Lara J, Bueno L. Effect of physical training on the recovery of acute exercise, among patients with cardiovascular disease. Arch Cardiol Mex. 2017 Jul-Sep;87(3):199-204. doi: 10.1016/j.acmx.2016.11.004. Epub 2016 Dec 13.
Results Reference
background
PubMed Identifier
3087938
Citation
Beaver WL, Wasserman K, Whipp BJ. A new method for detecting anaerobic threshold by gas exchange. J Appl Physiol (1985). 1986 Jun;60(6):2020-7. doi: 10.1152/jappl.1986.60.6.2020.
Results Reference
background
Citation
Brooks, G. A., Fahey, T. D. & Baldwin, K. M. Exercise physiology: human bioenergetics and its applications. (McGraw-Hill, 2005).
Results Reference
background

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Recovery, Fatigability, and Proteomic Response to Aerobic Exercise Training in Healthy Individuals

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