Skip to main content

Aerobic exercise and telomere length in patients with systolic heart failure: protocol study for a randomized controlled trial

Abstract

Background

Heart failure (HF) with reduced ejection fraction (HFrEF) is a syndrome that leads to fatigue and reduced functional capacity due to disease-related pathophysiological mechanisms. Aerobic exercise (AERO) plays a key role in improving HF outcomes, such as an increase in peak oxygen uptake (VO2peak). In addition, HF promotes cell senescence, which involves reducing telomere length. Several studies have shown that patients with a worse prognosis (i.e., reduced VO2 peak) also have shorter telomeres. However, the effects of AERO on telomere length in patients with HFrEF are still unknown. In an attempt to fill this gap, we designed a study to determine the effects of 16 weeks of aerobic training (32 sessions) on telomere length in HFrEF patients.

Methods

In this single-center randomized controlled trial, men and women between 50 and 80 years old will be allocated into two different groups: a moderate-intensity aerobic training and a control grouTelomere length, functional capacity, echocardiographic variables, endothelial function, and walking ability will be assessed before and after the 16-week intervention period.

Discussion

Understanding the role of physical exercise in biological aging in HFrEF patients is relevant. Due to cell senescence, these individuals have shown a shorter telomere length. AERO can delay biological aging according to a balance in oxidative stress through antioxidant action. Positive telomere length results are expected for the aerobic training group.

Trial registration

ClinicalTrials.gov NCT03856736. Registered on February 27, 2019

Peer Review reports

Background

HF affects more than 26 million people worldwide. It is considered a global public health problem and is expected to increase substantially with the aging of the population. Globally, HFrEF is the most prevalent form of HF syndrome, affecting at least 60% of all patients [1, 2]. Despite the different strategies for its management, most individuals with this syndrome will experience some limitation in exercise capacity during the natural course of the disease [3, 4]. In fact, exercise intolerance dominates the clinical presentation of moderate to severe HFrEF and is a major determinant of overall prognosis [5,6,7]. On the other hand, patients who exercise regularly have a better prognosis than sedentary ones [8], since AERO improves VO2 peak [9,10,11] and TL [12].

TL is a complex DNA sequence located at the ends of chromosomes [13,14,15]. It is important to point out that oxidative stress is the main factor that shortens TL in HFrEF [16,17,18,19] and accelerates the aging process [20,21,22]. Studies have shown that exercise can promote a reverse profile in oxidative stress, increasing TL or preventing telomere shortening [23,24,25,26]. However, changes in TL depend on exercise intensity. HIIT is described as short periods of exercise performed at a high intensity (> 80–85% heart rate reserve), with active recovery intervals at a moderate intensity (30–40% of HRR) [27]. MIAT (40–60% HRR), however, is the most commonly used AERO modality, and different HF guidelines recommended it [28,29,30]. Physiologically, very-high intensity exercise can lead to decreased TL due to an imbalance between severe oxidative stress and reduced antioxidant mechanisms [31, 32]. In contrast, MIAT can lead to a reduction in oxidative stress through higher antioxidant activity, which can have beneficial effects on TL [33,34,35,36,37].

In individuals who have not been diagnosed with HFrEF, conflicting results have been found regarding the effects of MIAT on TL. Some studies have shown that MIAT may increase TL [12, 24, 33, 34], while others have not observed any modification in these outcomes [38,39,40]. In patients with HFrEF, MIAT can improve functional capacity and has been demonstrated to be safe, effective, and reproducible outside the hospital environment [41,42,43]. However, as far as we know, no studies have investigated MIAT and TL in the HFrEF setting, and since there is a gap in the literature, the main goal of this manuscript is to describe the study protocol of this unique randomized controlled trial.

Methods

We will compare TL in a MIAT group and a CG of HFrEF patients before and after 16 weeks of an exercise-based cardiac rehabilitation program. In addition, the secondary outcomes of this randomized controlled trial are to correlate TL with the following:

  1. 1.

    Different CPET parameters such as VE/VCO2, oxygen pulse, and oxygen uptake efficiency slope

  2. 2.

    Changes in echocardiographic variables by Doppler echocardiogram

  3. 3.

    Changes in endothelial function measured by FMD of the brachial artery

  4. 4.

    Changes in walking ability measured by SWSS

Study design

This study will be a single-center randomized, controlled trial performed at a tertiary hospital in southern Brazil. Patients recruited to participate will be assigned to the MIAT group, who will exercise twice a week for 16 weeks, or the CG, who will stretch and do low-intensity and low-volume treadmill walking exercise (to mimic the intervention group) twice a week for 16 weeks. The public title for the work to patient recruitment is “Exercise to improve your heart and longevity.” Procedures explaining the intervention and the benefits of exercise will be applied in recruiting the patient

Measurements will be taken before and at the end of the follow-uFor familiarization, all subjects will participate in a run-in period involving three treadmill exercise sessions before randomization. The allocation ratio will be 1:1, and the framework will be superiority.

An experienced researcher in cardiac rehabilitation who is not involved in the data collection will apply the protocol. The study named “Exercise for improve your health” will be conducted at the hospital cardiac rehabilitation center with support from the CardioEx. The trial protocol was registered in ClinicalTrials.gov (identifier: NCT03856736) and follows the recommendations of the SPIRIT 2013 statement (Standard Protocol Items: Recommendations for Interventional Trials). The schedule of enrollment, interventions, and assessments is presented in Table 1.

Table 1 Schedule of enrollment, interventions, and assessments

Participants

The volunteers will be recruited through the HF Outpatient Clinic of a tertiary public hospital in Porto Alegre, Brazil. Participants will be randomly allocated into two different groups: MIAT and the CG, which will engage in supervised low-intensity AERO with stretching.

Inclusion criteria

The following are the inclusion criteria:

  • Primary diagnosis of HF with ejection fraction < 40%

  • Clinically stable patients with at least 3 months on optimal HF treatment

  • Age between 50 and 80 years

  • NYHA functional classes II to III

  • No contraindications to participate in an exercise program

  • Mentally able to understand instructions during the study

Exclusion criteria

The following are the exclusion criteria:

  • Severe valve disease

  • Peripheral artery disease with symptoms of intermittent claudication

  • Uncontrolled hypertension

  • Drug or alcohol abuse

  • Cognitive and/or osteomyoarticular conditions that prevent exercise

  • Logistical impossibility of attending the hospital intervention

  • Engaging in supervised physical exercise in the past 3 months

  • Do not complete the run-in period

Study procedures

The protocol for both groups will be applied at a local tertiary hospital (HCPA). The study diagram can be seen in Fig. 1. After confirming the eligibility criteria during first contact, the researchers will obtain the written informed consent.

Fig. 1
figure 1

Study diagram

Randomization

A researcher not involved in other phases of the study will perform the randomization and allocation protocols. The allocation list will be generated through the randomization.com website, and the data will be managed through the REDCap software in order to provide the allocation concealment. The randomization will be stratified by sex and age (50 to 64 years; 65 to 80 years), and different size blocks will be employed in a random order. Researchers involved in the data analysis and assessments will be blinded to the participant’s allocation group.

Demographic and clinical variables

Demographic, anthropometric, and clinical data will be collected to characterize the sample. In addition, blood collection, CPET, echocardiography, endothelial function (assessed by brachial artery FMD measurement), and a SSWS test will be performed.

Age, gender, the presence of diabetes mellitus, systemic hypertension, and dyslipidemia will be some of the data used for sample characterization, as well as medical history and current medications. We will also measure waist, abdomen, and hip circumferences, as well as body mass and height, before participants begin the protocol.

Telomere length

A real-time qPCR will be utilized to quantify TL. This technique is based on extending the telomere sequence from a small amount of genomic DNA.

In the present study, relative TL will be specifically evaluated, which is obtained through two qPCR reactions for each sample. One reaction is used for amplifying the T, while the other is for the S, which is responsible for controlling the amplification and allowing the number of genome copies per sample to be calculated. Therefore, the T/S ratio will be calculated to obtain a value that correlates with the average length of the analyzed telomeres [44, 45].

Blood collection

The participants will rest for 15 min prior to blood collection. After the rest period, 10 mL of peripheral blood will be collected by trained personnel. The collected blood will be dispensed into 15-mL tubes containing EDTA anticoagulant and will be homogenized by inversion. Subsequently, the blood will be transferred to 15-mL tubes with a Histopaque® 1077 phase (density 1.077 g/mL, Sigma-Aldrich, St. Louis, MO, USA) at a 1:1 ratio and then centrifuged at 400×g for 30 min. Thereafter, centrifugation-purified peripheral blood mononuclear cells will be collected, from which genomic DNA will be extracted for subsequent qPCR.

Cardiopulmonary exercise test

All evaluations will be performed during the morning shift at the HCPA noninvasive cardiology unit under controlled temperature (18 to 22 °C). The tests will always be performed by the same cardiologist, who is qualified by the Brazilian Society of Cardiology. The test will be performed on a treadmill (General Eletric T-2100, GE Healthcare, Waukesha, WI, USA) using a ramp protocol previously described in Nery et al. [46] VO2, VCO2, ventilatory anaerobic threshold, respiratory compensation point, peak respiratory exchange ratio, VE/VCO2 slope, oxygen uptake efficiency slope, and O2/HR will be measured and recorded breath by breath with a specific CPET system for measuring pulmonary gas exchange (Quark CPET, COSMED, Rome, Italy). Continuous 12-lead electrocardiographic monitoring (Nihon Kohden Corporation, Tokyo, Japan) will be performed following Mason and Likar 1966. Blood pressure measurement will be assessed with a sphygmomanometer (P.A. MED PA 2001, Brazil). Maximum tests will be considered when the peak respiratory exchange ratio is ≥ 1.05.

Transthoracic Doppler echocardiogram

All evaluations will be performed by a trained cardiologist on the same equipment at the HCPA noninvasive medicine unit (Envisor C HD, Philips, USA) with a standard multifrequency sector transducer. Patients will be evaluated at rest in the left lateral supine position. Ultrasound equipment will be placed on the patient’s chest and the signals will be transmitted and converted into a moving image on a monitor. Subsequently, the diameters and volumes of the atrium and left ventricle will be measured. The ejection fraction will be calculated using the Teicholz formula from the parasternal long axis. However, for patients with regional wall motion abnormalities, Simpson’s rule will be used. The assessment will proceed according to the current guidelines of the American College of Cardiology and the American Heart Association [47].

Endothelial function

The assessments will be performed according to the recent expert consensus and evidence-based recommendations on flow-mediated dilatation in humans [48]. The volunteers will receive preparation instructions, such as the need to fast for 6 h prior to evaluation; no smoking or tobacco consumption prior to measurement (> 6 h); avoiding exercise (> 24 h), caffeine, and alcohol (> 12 h) prior to the evaluation; recording medication used in the 24 h prior to assessment; and premenopausal women should record the day of the menstrual cycle, since the evaluation will be between the first and seventh cycle day.

The pre- and post-assessment will be performed at the same hour, in a room with a controlled temperature (18 to 22 °C). The volunteers will have 10–15 min of supine rest prior to beginning their assessment. During the assessment, the volunteers will be asked to lie in the supine position with their left arm positioned comfortably. Endothelium-dependent and endothelium-independent dilations will be measured by spectral Doppler ultrasound (Ultrasonix, Ultrasonix Medical Corporation, Richmond, Canada) with a modulated electrocardiogram and a high-frequency vascular transducer (between 7.5 and 14 MHz). FMD will be expressed as the relative variation of the brachial diameter in the hyperemic phase and defined as [(post hyperemic diameter − baseline diameter)/baseline diameter] × 100.

Self-selected walking speed

This test will be performed during the first training session to determine the volunteers’ SSWS. The test will be conducted in a 30-m corridor, demarcated every 3 m with cones, as previously described by Monteiro et al [49].

To balance any effects related to the participant’s sensation of being evaluated and wanting to walk faster, timing will begin not with the first cone but the second. Since this test is a measure of self-selected speed, we must ensure that it is performed with no stimulus to walk faster, especially when the subject is approaching the final cone. However, the timer will be stopped prior to the final cone for the same reasons as the first cone. Therefore, the evaluation will consist of the time taken to walk 24 m. To calculate the SSWS, the distance traveled will be divided by the time necessary to do so; three attempts will be performed, and the mean time will be considered the SSWS.

Intervention protocols

The aerobic training model will follow a predefined schedule (Table 2). The first week will be a run-in period (Fig. 2), consisting of three sessions of moderate-intensity AERO with a progressive increase in session duration. Both groups will perform treadmill exercise and stretching. However, the intensity and duration of treadmill walking and stretching will change. Because this will be a blind randomized clinical trial, we must ensure that the volunteers do not know the group in which they will be participating. Both protocols will last 16 weeks and involve sessions twice a week, totaling 32 sessions for each grouThe minimum frequency will be 85% of the total sessions. In the event of three consecutive absences, the volunteer will be excluded from the study, as well as if the patient appears only one session per week for three consecutive weeks. To improve adherence, we will use daily motivation in each session, such as praise, reminders that the treatment is good for him/her, or that the patient is doing well and this will make a lot of difference to their health, regardless of which group was randomized (exercise or control).

Table 2 Predefined periodization for the aerobic training group
Fig. 2
figure 2

First week run-in period

The training prescription will be individualized according to CPET. The target training zones will be definsssssed through percentages of heart rate reserve and ventilatory thresholds, concomitant with the use of a modified Borg CR10 scale [50] at moderate intensity (40–60% of heart rate reserve; Borg 4–6). The protocol will begin with a warm-up and will have a cool-down period. Variables such as speed and grade will be systematically adjusted each week according to each patient’s chronotropic response, effort perception, and condition. When necessary, it will be returned to the previous level until the individual adapts and can progress.

Exercise sessions will be prescribed and accompanied by an exercise physiologist who may be accompanied by undergraduate physical education, physical therapy, or medicine students who will monitor and record HR, blood pressure, and perceived exertion before, during, and after the exercise session. The training program will be performed on treadmills (Inbramed, Export, Porto Alegre, Brazil, and TEB APEX 2000, São Paulo, Brazil).

Control group

The CG will undergo two sessions weekly, totaling 32 sessions. Stretching exercises, low-intensity treadmill walking, and body relaxation techniques will be performed. Given the literature gap about the effects of AERO on TL in HF patients, we decided to create a CG with the same intervention time and weekly frequency that performs low-intensity AERO on a treadmill to mimic the intervention group and consequently investigate the real effects of MIAT advocated in different guidelines, with all participants blinded as far as possible to intervention type.

Statistical analysis

The calculated sample size is 10 patients for each group (20 total), considering a significance level of 5%, a power of 80%, a difference to be detected equal to a standard deviation of 0.0026 for TL, and the primary outcome. Based on other studies, we estimate there will be a 20% loss, so it will be necessary to include 12 patients per group (24 patients in total). The difference to be detected is considered clinically relevant, and the variability was based on Van der Harst et al. [16]

Descriptive statistics will be performed with mean and standard deviation or median and interquartile range when appropriate. The Shapiro-Wilk test will be performed to verify data normality. Baseline sample characteristics will be compared using Student’s t test or the Mann-Whitney U test for continuous variables and the chi-square and Fisher exact test for categorical variables. The outcomes for the MIAT and the CG during the pre- and post-training periods will be analyzed with generalized estimating equations. A Bonferroni post hoc test will be used to identify the differences between the effects and interactions. Intention to treat will be applied

Discussion

Telomere and its length have been studied as a biological marker of aging and are considered a therapeutic target, not only in patients, but also in healthy individuals [51, 52]. The larger the telomere, the greater the life expectancy of the individual [53].

Acute AERO can promote the upregulation of telomeres and the expression of white blood cell microRNAs, improving immune function and physical health [54]. In its turn, chronic physical training plays an important role in maintaining or increasing the TL [23]. Some evidence suggests that only AERO (moderate or high intensity) can increase the TL after 6 months of intervention in healthy individuals [12] and there is already some evidence that MIAT can have a positive impact on TL in some pathological scenarios [33,34,35,36,37].

HFrEF patients present a decrease in VO2 peak and an increase in oxidative stress, findings that go towards a more reserved prognosis. It is important to point out that the worse the disease, the shorter the telomeres [23]. In contrast, MIAT can increase VO2 peak and reduce oxidative stress through greater antioxidant activity, acting positively on TL. However, specifically, the effect of MIAT on TL in the HFrEF scenario is unknown, but we will test if 6 months of this type of training can delay biological aging, promoting a positive impact on TL in these stable patients with this syndrome.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study. Relevant data from this study will be made available upon study completion and researcher’s request from the corresponding author.

Abbreviations

HF:

Heart failure

HFrEF:

Heart failure with reduced ejection fraction

AERO:

Aerobic exercise

VO2peak:

Peak oxygen uptake

TL:

Telomere length

HIIT:

High-intensity interval training

HRR:

Heart rate reserve

MIAT:

Moderate-intensity aerobic training

CG:

Control group

CPET:

Cardiopulmonary exercise testing

VE/VCO2 :

Ratio between ventilation and the carbon dioxide production

FMD:

Flow-mediated dilation

SWSS:

Self-selected walking speed test

CardioEx:

Exercise Cardiology Research Group

NYHA:

New York Heart Association

HCPA:

Hospital de Clínicas de Porto Alegre

REDCap:

Research Electronic Data Capture

qPCR:

Polymerase chain reaction

T:

Telomeric sequence

S:

Single-copy gene

VO2 :

Oxygen uptake

O2/HR:

Oxygen pulse

References

  1. Savarese G, Lund LH. Global public health burden of heart failure. Card Fail Rev. 2017;3(1):7–11.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Ziaeian B, Fonarow GC. Epidemiology and aetiology of heart failure. Nat Rev Cardiol. 2016;13(6):368–78.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Poole DC, Richardson RS, Haykowsky MJ, Hirai DM, Musch TI. Exercise limitations in heart failure with reduced and preserved ejection fraction. J Appl Physiol (Bethesda, Md: 1985). 2018;124(1):208–24.

    Article  CAS  Google Scholar 

  4. Yancy CW, Januzzi JL Jr, Allen LA, et al. 2017 ACC Expert Consensus Decision Pathway for Optimization of Heart Failure Treatment: answers to 10 pivotal issues about heart failure with reduced ejection fraction: a report of the American College of Cardiology Task Force on Expert Consensus Decision Pathways. J Am Coll Cardiol. 2018;71(2):201–30.

    Article  PubMed  Google Scholar 

  5. Nilsson KR, Duscha BD, Hranitzky PM, Kraus WE. Chronic heart failure and exercise intolerance: the hemodynamic paradox. Curr Cardiol Rev. 2008;4(2):92–100.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Del Buono MG, Arena R, Borlaug BA, et al. Exercise Intolerance in patients with heart failure: JACC state-of-the-art review. J Am Coll Cardiol. 2019;73(17):2209–25.

    Article  PubMed  Google Scholar 

  7. Dube BP, Agostoni P, Laveneziana P. Exertional dyspnoea in chronic heart failure: the role of the lung and respiratory mechanical factors. Eur Respir Rev. 2016;25(141):317–32.

    Article  PubMed  Google Scholar 

  8. Swank AM, Horton J, Fleg JL, et al. Modest increase in peak VO2 is related to better clinical outcomes in chronic heart failure patients: results from heart failure and a controlled trial to investigate outcomes of exercise training. Circ Heart Fail. 2012;5(5):579–85.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Belardinelli R, Georgiou D, Cianci G, Purcaro A. Randomized, controlled trial of long-term moderate exercise training in chronic heart failure: effects on functional capacity, quality of life, and clinical outcome. Circulation. 1999;99(9):1173–82.

    Article  CAS  PubMed  Google Scholar 

  10. De Maeyer C, Beckers P, Vrints CJ, Conraads VM. Exercise training in chronic heart failure. Ther Adv Chronic Dis. 2013;4(3):105–17.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Chung CJ, Schulze PC. Exercise as a nonpharmacologic intervention in patients with heart failure. Physician Sports Med. 2011;39(4):37–43.

    Article  Google Scholar 

  12. Werner CM, Hecksteden A, Morsch A, et al. Differential effects of endurance, interval, and resistance training on telomerase activity and telomere length in a randomized, controlled study. Eur Heart J. 2019;40(1):34–46.

    Article  CAS  PubMed  Google Scholar 

  13. O’Sullivan RJ, Karlseder J. Telomeres: protecting chromosomes against genome instability. Nat Rev Mol Cell Biol. 2010;11(3):171–81.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Blackburn EH. Telomeres and telomerase: the means to the end (Nobel lecture). Angew Chem (Int Engl). 2010;49(41):7405–21.

    Article  CAS  Google Scholar 

  15. Blackburn EH, Epel ES, Lin J. Human telomere biology: a contributory and interactive factor in aging, disease risks, and protection. Science (New York, NY). 2015;350(6265):1193–8.

    Article  CAS  Google Scholar 

  16. van der Harst P, van der Steege G, de Boer RA, et al. Telomere length of circulating leukocytes is decreased in patients with chronic heart failure. J Am Coll Cardiol. 2007;49(13):1459–64.

    Article  PubMed  CAS  Google Scholar 

  17. Sharifi-Sanjani M, Oyster NM, Tichy ED, et al. Cardiomyocyte-specific telomere shortening is a distinct signature of heart failure in humans. J Am Heart Assoc. 2017;6(9)

  18. Reichert S, Stier A. Does oxidative stress shorten telomeres in vivo? Rev. 2017;13(12)

  19. von Zglinicki T. Oxidative stress shortens telomeres. Trends Biochem ences. 2002;27(7):339–44.

    Article  Google Scholar 

  20. Jylhava J, Pedersen NL, Hagg S. Biol Age Predictors. EBioMedicine. 2017;21:29–36.

    Article  Google Scholar 

  21. Saretzki G. Telomeres, telomerase and ageing. Sub-cellular Biochem. 2018;90:221–308.

    Article  CAS  Google Scholar 

  22. Freitas-Simoes TM, Ros E, Sala-Vila A. Telomere length as a biomarker of accelerated aging: is it influenced by dietary intake? Curr Opin Clin Nutr Metab Care. 2018;21(6):430–6.

    Article  CAS  PubMed  Google Scholar 

  23. Denham J, O’Brien BJ, Charchar FJ. Telomere length maintenance and cardio-metabolic disease prevention through exercise training. Sports Med (Auckland, NZ). 2016;46(9):1213–37.

    Article  Google Scholar 

  24. Cherkas LF, Hunkin JL, Kato BS, et al. The association between physical activity in leisure time and leukocyte telomere length. Arch Intern Med. 2008;168(2):154–8.

    Article  PubMed  Google Scholar 

  25. Borghini A, Giardini G, Tonacci A, et al. Chronic and acute effects of endurance training on telomere length. Mutagenesis. 2015;30(5):711–6.

    Article  CAS  PubMed  Google Scholar 

  26. Arsenis NC, You T, Ogawa EF, Tinsley GM, Zuo L. Physical activity and telomere length: impact of aging and potential mechanisms of action. Oncotarget. 2017;8(27):45008–19.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Billat LV. Interval training for performance: a scientific and empirical practice. Special recommendations for middle- and long-distance running. Part I: aerobic interval training. Sports Med (Auckland, NZ). 2001;31(1):13–31.

    Article  CAS  Google Scholar 

  28. JCS Joint Working Group. Guidelines for rehabilitation in patients with cardiovascular disease (JCS 2012). Circ J Off J Jpn Circ Soc. 2014;78(8):2022–93.

    Google Scholar 

  29. Piepoli MF, Corra U, Adamopoulos S, et al. Secondary prevention in the clinical management of patients with cardiovascular diseases. Core components, standards and outcome measures for referral and delivery: a policy statement from the cardiac rehabilitation section of the European Association for Cardiovascular Prevention & Rehabilitation. Endorsed by the Committee for Practice Guidelines of the European Society of Cardiology. Eur J Prev Cardiol. 2014;21(6):664–81.

    Article  PubMed  Google Scholar 

  30. Thomas RJ, Beatty AL, Beckie TM, et al. Home-based cardiac rehabilitation: a scientific statement from the American Association of Cardiovascular and Pulmonary Rehabilitation, the American Heart Association, and the American College of Cardiology. Circulation. 2019;140(1):e69–89.

    Article  PubMed  Google Scholar 

  31. Collins M, Renault V, Grobler LA, et al. Athletes with exercise-associated fatigue have abnormally short muscle DNA telomeres. Med Sci Sports Exerc. 2003;35(9):1524–8.

    Article  CAS  PubMed  Google Scholar 

  32. Rae DE, Vignaud A, Butler-Browne GS, et al. Skeletal muscle telomere length in healthy, experienced, endurance runners. Eur J Appl Physiol. 2010;109(2):323–30.

    Article  PubMed  Google Scholar 

  33. Shadyab AH, LaMonte MJ, Kooperberg C, et al. Association of accelerometer-measured physical activity with leukocyte telomere length among older women. J Gerontol Ser A Biol Sci Med Sci. 2017;72(11):1532–7.

    Article  Google Scholar 

  34. Puterman E, Weiss J, Lin J, et al. Aerobic exercise lengthens telomeres and reduces stress in family caregivers: a randomized controlled trial - Curt Richter Award Paper 2018. Psychoneuroendocrinology. 2018;98:245–52.

    Article  CAS  PubMed  Google Scholar 

  35. Ribeiro-Samora GA, Rabelo LA, Ferreira ACC, et al. Inflammation and oxidative stress in heart failure: effects of exercise intensity and duration. Braz J Med Biol Res. 2017;50(9):e6393.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Sallam N, Laher I. Exercise modulates oxidative stress and inflammation in aging and cardiovascular diseases. Oxid Med Cell Longev. 2016;2016:7239639.

    Article  PubMed  CAS  Google Scholar 

  37. Gagnon DD, Dorman S, Ritchie S, et al. Multi-day prolonged low- to moderate-intensity endurance exercise mimics training improvements in metabolic and oxidative profiles without concurrent chromosomal changes in healthy adults. Front Physiol. 2019;10:1123.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Stoylen A, Conraads V, Halle M, Linke A, Prescott E, Ellingsen O, Controlled study of myocardial recovery after interval training in heart failure: SMARTEX-HF--rationale and design. Eur J Prev Cardiol, 2012. 19(4):813-821.

  39. Rognmo O, Moholdt T, Bakken H, et al. Cardiovascular risk of high- versus moderate-intensity aerobic exercise in coronary heart disease patients. Circulation. 2012;126(12):1436–40.

    Article  PubMed  Google Scholar 

  40. O’Connor CM, Whellan DJ, Lee KL, et al. Efficacy and safety of exercise training in patients with chronic heart failure: HF-ACTION randomized controlled trial. Jama. 2009;301(14):1439–50.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Friedenreich CM, Wang Q, Ting NS, et al. Effect of a 12-month exercise intervention on leukocyte telomere length: results from the ALPHA Trial. Cancer Epidemiol. 2018;56:67–74.

    Article  PubMed  Google Scholar 

  42. Shephard RJ, Shek PN, Potential impact of physical activity and sport on the immune system--a brief review. Br J Sports Med, 1994. 28(4):247-255.

  43. Gidron Y, Russ K, Tissarchondou H, Warner J. The relation between psychological factors and DNA-damage: a critical review. Biol Psychol. 2006;72(3):291–304.

    Article  PubMed  Google Scholar 

  44. Ding C, Cantor CR, Quantitative analysis of nucleic acids--the last few years of progress. J Biochem Mol Biol, 2004. 37(1):1-10.

  45. Cawthon RM. Telomere measurement by quantitative PCR. Nucleic Acids Res. 2002;30(10):e47.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Nery RM, Zanini M, de Lima JB, Buhler RP, da Silveira AD, Stein R. Tai Chi Chuan improves functional capacity after myocardial infarction: a randomized clinical trial. Am Heart J. 2015;169(6):854–60.

    Article  PubMed  Google Scholar 

  47. Cheitlin MD, Armstrong WF, Aurigemma GP, et al. ACC/AHA/ASE 2003 guideline update for the clinical application of echocardiography: summary article: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (ACC/AHA/ASE Committee to Update the 1997 Guidelines for the Clinical Application of Echocardiography). Circulation. 2003;108(9):1146–62.

    Article  PubMed  Google Scholar 

  48. Thijssen DHJ, Bruno RM, van Mil A, et al. Expert consensus and evidence-based recommendations for the assessment of flow-mediated dilation in humans. Eur Heart J. 2019;40(30):2534–47.

    Article  PubMed  Google Scholar 

  49. Monteiro EP, Franzoni LT, Cubillos DM, et al. Effects of Nordic walking training on functional parameters in Parkinson’s disease: a randomized controlled clinical trial. Scand J Med Sci Sports. 2017;27(3):351–8.

    Article  CAS  PubMed  Google Scholar 

  50. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 1982;14(5):377–81.

    Article  CAS  PubMed  Google Scholar 

  51. Yeh JK, Lin MH, Wang CY. Telomeres as therapeutic targets in heart disease. JACC Basic Transl Sci. 2019;4(7):855–65.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Martínez P, Blasco MA. Telomere-driven diseases and telomere-targeting therapies. J Cell Biol. 2017;216(4):875–87.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Heidinger BJ, Blount JD, Boner W, Griffiths K, Metcalfe NB. Monaghan Telomere length in early life predicts lifespan. Proc Natl Acad Sci U S A. 2012;109(5):1743–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Chilton WL, Marques FZ, West J, Kannourakis G, Berzins SP, O’Brien BJ, et al. Acute exercise leads to regulation of telomere-associated genes and microRNA expression in immune cells. PLoS One. 2014;9(4):e92088.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The author would like to acknowledge the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and the Post-Graduate Program in Sciences: Cardiology and Cardiovascular Sciences of the Federal University of Rio Grande do Sul to provide all assistance and willingness to be part of the present study.

Funding

The HCPA Research and Event Incentive Fund (FIPE) will support this work with grant number 180651. The funder has a role to assist in the design and collection, analysis, and interpretation of the data, as well as spelling and grammatical revision in English. In addition, the monthly fee serves for the doctoral student to maintain basic costs of travel, meals, and related to data collection.

Author information

Authors and Affiliations

Authors

Contributions

LTF conceptualized the study and wrote the first draft of the paper. ELG, AAP, SBM, MMA, OAB, MALS, and ADL contributed to the design and will be collecting and analyzing the data during the study. AHP, LCD, and RS have contributed to the understanding of the pathophysiological mechanism of TL, heart failure, and exercise and the development of an intervention protocol and approaches to recruitment into the study. RS has contributed to the theoretical planning, particularly on decision-making, and he is the head of the exercise cardiology group (CardioEx). All authors had input to the revisions of the paper and approved the final version of the manuscript.

Corresponding author

Correspondence to Leandro T. Franzoni.

Ethics declarations

Ethics approval and consent to participate

This experiment will be conducted from March 2021 to December 2021. The study protocol was approved by the Institutional Review Board of Hospital de Clínicas de Porto Alegre (protocol 180651, version 1) in August 2018. Prior to the evaluation process and after the study’s objectives, the methods and the procedures for guaranteeing their anonymity are guaranteed and explained (including the use of the data only for scientific purposes); the participants will provide written informed consent to participate, as recommended by Resolution 466/12 CNS/MS. Prior to the study, the participants will be informed about how testing and training will take place. In addition, the importance of the data obtained during the study will also be pointed out.

Both the research team and the institution will keep the identities of volunteers strictly confidential. The results of the procedures evaluated in the research will be analyzed and allocated in tables, figures, and/or graphs and will be disseminated in lectures, conferences, scientific journals, or other media for transferring knowledge to society in accordance with the regulatory norms of national or international protection.

The expected benefits will have great importance to participants, the institution involved, the researchers, society, and any other medium interested in advancing science, such as a better understanding of how TL behaves in patients with HFrEF, given its importance in cell senescence and the potential biomarker of disease prognosis. The expected results will demonstrate the effects of AERO on TL, which could contribute to improving rehabilitation programs and new research in the fields of exercise, cardiac rehabilitation, and health promotion.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The trial sponsor is Prof. Ricardo Stein, M.D. ScD. (rstein@cardiol.br).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Franzoni, L.T., Garcia, E.L., Motta, S.B. et al. Aerobic exercise and telomere length in patients with systolic heart failure: protocol study for a randomized controlled trial. Trials 23, 283 (2022). https://doi.org/10.1186/s13063-022-06257-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13063-022-06257-1

Keywords