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The goal of this clinical trial is to learn about the molecular pathways associated with the benefit of a regular exercise program in patients with high blood pressure and who don't already participate in regular exercise.
The main question it aims to answer is to identify protein signatures associated with the benefits of a cardiac rehabilitation exercise program.
The trial will enroll 42 participants, who will be randomized to a 12 week cardiac rehabilitation exercise program versus control arm and asked to participate in the following at the beginning and end of study:
Researchers will compare results between those who do and don't participate in the exercise program.
Lifestyle modification with physical activity (PA) appears to be protective of several age-related cardiovascular (CV) outcomes, including heart failure (HF), in a dose-dependent manner. While many studies with exercise training have demonstrated improvement in quality of life and cardiorespiratory fitness, findings have not been consistent with regards to the potential for exercise to preserve or even improve cardiac function in adults with HF. There remains incomplete understanding of the molecular pathways by which PA mitigates HF risk. Furthermore, exercise studies often exclude older adults, who are disproportionately affected by HF, though our preliminary data suggest the protective effects of PA extend to late-life. Older adults are at particularly heightened risk for HF with preserved ejection fraction (HFpEF), which is characterized by impaired left ventricular (LV) diastolic function and impaired systolic deformation despite preserved LV ejection fraction (LVEF). Unlike with HF with reduced ejection fraction (HFrEF), effective pharmacologic therapies or interventions to improve cardiac function among individuals with preserved LVEF are limited. Thus, there is a critical need to define the cardiovascular mechanisms by which PA impacts HF risk in older adults that may enable the identification of novel therapeutic targets to prevent HF and HFpEF in particular.
As proteins orchestrate and carry out cellular functions in health and in diseases, one method of characterizing changes in CV function is to investigate cell signaling by studying the circulating proteome. Proteomic approaches have previously been used to identify pathways relevant to myocardial infarction and have also been used to investigate molecular pathways characterizing PA and CV disease. A recent study demonstrated upregulation of inflammation-related proteins in HFpEF patients (n=228) compared to controls, and their association with worse indices of cardiac function. Specific proteomic patterns have also been associated with aerobic exercise, with 2 proteomic modules that were specifically preserved with aging in habitual exercisers. Data from Swedish cohorts has also shown an association of leisure-time PA with 28 CV-specific proteins involved in atherosclerotic processes. Serial multi-omic measures (including proteomics) have been used to demonstrate marked intra-individual changes in circulating proteins with acute exercise. More recently, high-throughput proteomic profiling has been successfully employed in younger adults to identify baseline protein levels associated with change in cardiorespiratory fitness following an exercise intervention. However, to-date, limited data exist regarding intervention-related changes in the proteome in older adults at risk for HF and the extent to which these changes correlate with changes in cardiorespiratory fitness.
Supervised exercise-training with cardiac rehabilitation (CR) has been well established as an effective method to improve maximal oxygen consumption (VO2 max), a measure of cardiorespiratory fitness. Improvement in VO2 max has also been demonstrated with exercise training in sedentary older adults over 65 years of age.
The objective of this proposal is to identify protein signatures characterizing the known benefits of a structured CR program on VO2 max. Our working hypotheses is that proteomic approaches will identify novel biomarkers that uniquely characterize molecular pathways associated with exercise training and CR-related changes in proteins will correlate with changes in VO2 max. Successful completion of this aim will identify possible novel protein signatures underlying the protective biological pathways mediated by a structured CR program that may be used as preliminary data for future grant proposals.
Aim: Identify molecular pathways underlying the beneficial effect of a structured PA intervention on functional capacity with the use of plasma proteomics in older sedentary adults at high risk of HF. (BWH-based cohort). Hypotheses: (1) Randomization to participation in a cardiac rehabilitation (CR) program will result in improvement in circulating levels of 4 plasma proteins associated with change in VO2max, a measure of cardiorespiratory fitness, and with genetic evidence supporting a causal effect on HF and cardiac structure (ATF6, STC1, JAG1, PTK7). The investigators will randomize 42 sedentary adults at high risk of HF (stage B HF) to participation in a CR program and perform proteomic analysis, cardiopulmonary exercise testing, and echocardiography at baseline and 12 weeks.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cardiac Rehabilitation | Experimental | Participants will participate in a 12-week cardiac rehabilitation program |
|
| Attention Control | Placebo Comparator | Participants will not participate in a cardiac rehabilitation program and will receive phone calls in place of cardiac rehabilitation visits. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Cardiac Rehabilitation | Behavioral | Participation in a 12-week cardiac rehabilitation program |
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| Measure | Description | Time Frame |
|---|---|---|
| Impact of Cardiac Rehabilitation training on single protein changes | Change in protein levels assessed by blood draws and measured by Somascan assay. ANCOVA analysis adjusting for baseline protein levels with intention to treat group assignment | 12 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation of change in proteins with change in VO2 max | Correlation of single protein changes associated with change in VO2 max | 12 weeks |
| Correlation of change in proteins with change in LV global longitudinal strain |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sheila Hegde, MD | Contact | 6177325500 | shegde@bwh.harvard.edu |
| Name | Affiliation | Role |
|---|---|---|
| Sheila Hegde, MD | Brigham and Women's Hospital | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27444932 | Background | Ngo D, Sinha S, Shen D, Kuhn EW, Keyes MJ, Shi X, Benson MD, O'Sullivan JF, Keshishian H, Farrell LA, Fifer MA, Vasan RS, Sabatine MS, Larson MG, Carr SA, Wang TJ, Gerszten RE. Aptamer-Based Proteomic Profiling Reveals Novel Candidate Biomarkers and Pathways in Cardiovascular Disease. Circulation. 2016 Jul 26;134(4):270-85. doi: 10.1161/CIRCULATIONAHA.116.021803. | |
| 29222138 |
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| ID | Term |
|---|---|
| D006973 | Hypertension |
| ID | Term |
|---|---|
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
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| ID | Term |
|---|---|
| D000072038 | Cardiac Rehabilitation |
| ID | Term |
|---|---|
| D012046 | Rehabilitation |
| D000359 | Aftercare |
| D003266 | Continuity of Patient Care |
| D005791 | Patient Care |
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| Attention Control | Behavioral | Participants will receive regular phone calls in place of cardiac rehabilitation visits |
|
Correlation of single protein changes associated with change in LV global longitudinal strain
| 12 weeks |
| Correlation of change in proteins with change in LV diastolic function | Correlation of single protein changes associated with change in LV diastolic function | 12 weeks |
| Correlation of change in proteins with change in VE/VCO2 | Correlation of single protein changes associated with change in VE/VCO2 | 12 weeks |
| Correlation of change in proteins with change in Short Physical Performance Battery (SPPB) | Correlation of single protein changes associated with change in Short Physical Performance Battery (SPPB) | 12 weeks |
| Correlation of change in proteins with change in 6-minute walk test | Correlation of single protein changes associated with change in 6-minute walk test | 12 weeks |
| Correlation of change in proteins with change in grip strength | Correlation of single protein changes associated with change in grip strength | 12 weeks |
| Correlation of change in proteins with change in EQ-5D (QOL) | Correlation of single protein changes associated with change in EQ-5D (QOL) | 12 weeks |
| Correlation of change in proteins with change in step counts | Correlation of single protein changes associated with change in step counts | 12 weeks |
| Correlation of baseline proteins with change in VO2 max | Correlation of baseline proteins with change in VO2 max | 12 weeks |
| Correlation of baseline proteins with change in LV global longitudinal strain | Correlation of baseline proteins with change in LV global longitudinal strain | 12 weeks |
| Correlation of baseline proteins with change in LV diastolic function | Correlation of baseline proteins with change in LV diastolic function | 12 weeks |
| Correlation of baseline proteins with change in VE/VCO2 | Correlation of baseline proteins with change in VE/VCO2 | 12 weeks |
| Correlation of baseline proteins with change in SPPB | Correlation of baseline proteins with change in SPPB | 12 weeks |
| Correlation of baseline proteins with change in 6-minute walk test | Correlation of baseline proteins with change in 6-minute walk test | 12 weeks |
| Correlation of baseline proteins with change in grip strength | Correlation of baseline proteins with change in grip strength | 12 weeks |
| Correlation of baseline proteins with change in EQ-5D (QOL) | Correlation of baseline proteins with change in EQ-5D (QOL) | 12 weeks |
| Correlation of baseline proteins with change in step counts | Correlation of baseline proteins with change in step counts | 12 weeks |
| Jacob J, Ngo D, Finkel N, Pitts R, Gleim S, Benson MD, Keyes MJ, Farrell LA, Morgan T, Jennings LL, Gerszten RE. Application of Large-Scale Aptamer-Based Proteomic Profiling to Planned Myocardial Infarctions. Circulation. 2018 Mar 20;137(12):1270-1277. doi: 10.1161/CIRCULATIONAHA.117.029443. Epub 2017 Dec 8. |
| 33439866 | Background | Wallentin L, Eriksson N, Olszowka M, Grammer TB, Hagstrom E, Held C, Kleber ME, Koenig W, Marz W, Stewart RAH, White HD, Aberg M, Siegbahn A. Plasma proteins associated with cardiovascular death in patients with chronic coronary heart disease: A retrospective study. PLoS Med. 2021 Jan 13;18(1):e1003513. doi: 10.1371/journal.pmed.1003513. eCollection 2021 Jan. |
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| 32470399 | Background | Contrepois K, Wu S, Moneghetti KJ, Hornburg D, Ahadi S, Tsai MS, Metwally AA, Wei E, Lee-McMullen B, Quijada JV, Chen S, Christle JW, Ellenberger M, Balliu B, Taylor S, Durrant MG, Knowles DA, Choudhry H, Ashland M, Bahmani A, Enslen B, Amsallem M, Kobayashi Y, Avina M, Perelman D, Schussler-Fiorenza Rose SM, Zhou W, Ashley EA, Montgomery SB, Chaib H, Haddad F, Snyder MP. Molecular Choreography of Acute Exercise. Cell. 2020 May 28;181(5):1112-1130.e16. doi: 10.1016/j.cell.2020.04.043. |
| 34045743 | Background | Robbins JM, Peterson B, Schranner D, Tahir UA, Rienmuller T, Deng S, Keyes MJ, Katz DH, Beltran PMJ, Barber JL, Baumgartner C, Carr SA, Ghosh S, Shen C, Jennings LL, Ross R, Sarzynski MA, Bouchard C, Gerszten RE. Human plasma proteomic profiles indicative of cardiorespiratory fitness. Nat Metab. 2021 Jun;3(6):786-797. doi: 10.1038/s42255-021-00400-z. Epub 2021 May 27. |
| 27881564 | Background | Shah AM, Claggett B, Loehr LR, Chang PP, Matsushita K, Kitzman D, Konety S, Kucharska-Newton A, Sueta CA, Mosley TH, Wright JD, Coresh J, Heiss G, Folsom AR, Solomon SD. Heart Failure Stages Among Older Adults in the Community: The Atherosclerosis Risk in Communities Study. Circulation. 2017 Jan 17;135(3):224-240. doi: 10.1161/CIRCULATIONAHA.116.023361. Epub 2016 Nov 23. |
| 31865771 | Background | Hieda M, Sarma S, Hearon CM Jr, Dias KA, Martinez J, Samels M, Everding B, Palmer D, Livingston S, Morris M, Howden E, Levine BD. Increased Myocardial Stiffness in Patients With High-Risk Left Ventricular Hypertrophy: The Hallmark of Stage-B Heart Failure With Preserved Ejection Fraction. Circulation. 2020 Jan 14;141(2):115-123. doi: 10.1161/CIRCULATIONAHA.119.040332. Epub 2019 Dec 23. |
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| D013812 |
| Therapeutics |
| D006296 | Health Services |
| D005159 | Health Care Facilities Workforce and Services |