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| ID | Type | Description | Link |
|---|---|---|---|
| 25-23 | Other Grant/Funding Number | Presbyterian Health Foundation |
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The purposes of this study are to: 1) compare baseline muscle and cardiovascular health in older individuals (>60 years old) diagnosed with MS to age-matched people without MS, 2) determine muscle and whole body changes to an exercise training program, 3) determine if the muscle in a more affected leg in individuals diagnosed with MS is different from the muscle of a less affected leg, and 4) if or how individuals diagnosed with MS adapt differently than age-matched people without MS to exercise training. Participation in this study will average 1.5 hours per visit, 3 visits per week, for approximately 4 months.
Disease-modifying therapies (DMT) are effective in reducing the risk of developing additional debilitating symptoms of multiple sclerosis (MS) and slowing disease progression, leading to better functional mobility outcomes and quality of life. As a result, people with MS (PwMS) are now more likely to maintain independence into their later years. Since older PwMS maintaining independence is a relatively recent phenomenon, there is virtually nothing known about how MS exacerbates the age-related loss of muscle mass and function (i.e., sarcopenia) or how PwMS adapt to interventions, such as exercise, that slow age-related declines. In addition, PwMS are known to be highly heterogeneous in functional ability, fatigue, and other physical factors. The investigators do not yet understand the aging trajectory in PwMS and if current treatment guidelines for aged individuals for overall health, including maintaining muscle mass and function, are effective in aged PwMS.
Aging-related functional declines are thought to be caused by hallmark biological processes that ultimately manifest in physical, mental, and metabolic impairments, which compromise healthspan and quality of life. Exercise is a multipotent treatment with promise to mitigate most aging hallmarks. However, there is substantial variability in how individuals respond to exercise training, which is termed inter-individual response heterogeneity (IRH). Low cardiorespiratory fitness (CRF, VO2max) and low functional muscle quality (fMQ; strength/muscle mass) are multi-system manifestations of the deterioration of the cellular hallmarks of aging, but both CRF and fMQ are modifiable with endurance exercise training (ET) and resistance exercise training (RT). It is yet to be determined how the hallmarks of aging influence IRH. For example, poor responder status could be caused by hallmark deterioration of mitochondrial function, ability to maintain proteostasis, or systemic inflammation.
The investigators are conducting an NIH funded clinical trial that hypothesizes that factors central to aging itself, such as proteostasis, mitochondrial energetics, and inflammation, are contributors to the multidimensional circuitry that determines whether an individual achieves the minimum clinically important difference (MCID) in CRF and/or fMQ with exercise training. The goal of the funded trial is to disentangle the complicated relationships between endogenous and exogenous factors that drive response variation to exercise. To accomplish this goal, investigators will use tissue (muscle and blood) sampling, multi-omics, extensive phenotyping, and multidimensional modeling. For the PHF proposal, investigators will leverage this ongoing clinical trial and enroll aged PwMS into the study. The overall goal of the current proposal is to establish baseline muscle and overall health characteristics, responsiveness to exercise training, and factors that give rise to heterogeneity of symptomology in aged PwMS.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| People with MS | Experimental | People with MS, 60 or older |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Exercise trial consisting of both cardiovascular and strength training | Other | All participants will receive 12 weeks of combined ET and RT. All exercise is supervised with a certified trainer. All study staff are CPR trained. Progression of volume and intensity will occur during the ramp-up week and into the first week of training. The ramp-up period increases the number of sets, repetitions, and intensity to limit excessive muscle damage, soreness, and fatigue. Full volume training will be achieved by the end of week one and progression thereafter will be based on intensity. Participants will complete 3x/wk ET and 3x/week RT. Both ET and RT will be progressed on an individual level via monitoring of each session with pragmatic increases in cycling wattage, treadmill speed/grade, and weight lifted as needed. At the completion of training there will be a testing week that repeats the battery of testing completed during the wash-in period to determine responder status by the a priori designated MCIDs for CRF and fMQ. |
| Measure | Description | Time Frame |
|---|---|---|
| fMQ | Investigators will determine fMQ from bilateral one-repetition maximum (1RM) knee extension strength / bilateral thigh lean mass via dual-energy x-ray absorptiometry (DXA). Strength testing will be performed with a study trainer and DXA scanning will occur at Oklahoma Children's Hospital OU Health. | Week -3 and Week -2 |
| CRF | Investigators will test CRF on a cycle ergometer using a continuous ramp protocol and ECG monitoring. The study clinician will monitor the ECG during testing while 1-2 other study personnel are administering the test. The ideal ramp for the individual is based on sex, body size, and initial assessments during familiarization | Enrollment to end of study at 18 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Total and Regional Body Composition | Additional clinical phenotyping includes total and regional body composition scans using a GE Lunar iDXA and insulin resistance by HOMA-IR from fasting blood draws obtained from a study phlebotomist. An Octave biomarker panel will also be evaluated from blood draws. | Week -3 and Week -2 |
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Inclusion Criteria:
Exclusion Criteria:
1. Neuromuscular or musculoskeletal disorder, other than multiple sclerosis, that would limit the ability to perform the exercise and/or testing bouts.
2. Cardiopulmonary disorders or reduced breathing capacity
3. Metabolic diseases including markers of liver disease (ALT > 52 U/dl) and type 2 diabetes (HbA1C ≥ 6.5, fasting blood glucose ≥ 126 mg/dl)
4. Taking any dose of metformin
5. Any other disease or disorder that would influence exercise response (e.g., chronic kidney disease, Alzheimer's, current cancer diagnosis or within 2 yr remission, cerebrovascular)
6. History of Chemotherapy within 5 years
7. Unchangeable anticoagulant (Coumadin, Pradaxa, etc.) use. To be determined by clinical staff.
8. Insulin sensitizing/blood glucose lowering (e.g., metformin) or metabolic (GLP1 agonists) drugs.
9. High dose statin (40 mg and above)
10. Have a non-correctable visual impairment
11. Score less than 29 on the Symbol Digit Test
12. Received Botox for spasticity within the prior 3 months of study participation.
13. Cannot have any adjustments to Baclofen during study participation.
13. Unable to commit to ~4 months required to complete the study.
14. Lidocaine allergy
15. Tobacco use
16. Excessive alcohol consumption (3 drinks/d or 7 drinks/wk for females; 4 drinks/day or drinks/wk for males)
17. BMI greater than 35.0 kg/m2
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Lena Fuentes | Contact | 4052717745 | lena-fuentes@omrf.org | |
| Bobbette Miller | Contact | 4052714214 | bobbette-miller@ou.edu |
| Name | Affiliation | Role |
|---|---|---|
| Benjamin F Miller, Ph.D. | Oklahoma Medical Research Foundation | Principal Investigator |
| Gabriel Pardo | Oklahoma Medical Research Foundation | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Oklahoma Medical Research Foundation | Recruiting | Oklahoma City | Oklahoma | 73104 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35482328 | Background | Long DE, Peck BD, Lavin KM, Dungan CM, Kosmac K, Tuggle SC, Bamman MM, Kern PA, Peterson CA. Skeletal muscle properties show collagen organization and immune cell content are associated with resistance exercise response heterogeneity in older persons. J Appl Physiol (1985). 2022 Jun 1;132(6):1432-1447. doi: 10.1152/japplphysiol.00025.2022. Epub 2022 Apr 28. | |
| 34124684 |
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The data will be partially de-identified. IHMC will only have access to the participant's Subject ID, year of birth (and therefore age), and height/weight, which is necessary for normalization of outcomes such as cardiorespiratory fitness (VO2max testing).
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| ID | Term |
|---|---|
| D009103 | Multiple Sclerosis |
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D020278 | Demyelinating Autoimmune Diseases, CNS |
| D020274 | Autoimmune Diseases of the Nervous System |
| D009422 | Nervous System Diseases |
| D003711 | Demyelinating Diseases |
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| ID | Term |
|---|---|
| D055070 | Resistance Training |
| ID | Term |
|---|---|
| D005081 | Exercise Therapy |
| D012046 | Rehabilitation |
| D000359 | Aftercare |
| D003266 | Continuity of Patient Care |
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|
|
| Muscle Biopsy |
Investigators will use established methods to assess hallmarks of aging. Investigators will assess proteostasis in skeletal muscle using the final muscle biopsy sample from each leg with tracer-based proteomics. Investigators will use high-resolution respirometry on skeletal muscle mitochondria (Oroboros O2K respirometers) to determine both mitochondrial respiratory function and reactive oxygen species generation. |
| Week 1 and Week 12 Muscle Biopsy |
| Skeletal Muscle Phenotyping | For additional skeletal muscle phenotyping, investigators will perform histological analyses of skeletal muscle with immunohistochemical approaches using the well-established methods for cellular morphology, myofiber type distribution and size heterogeneity, fibrosis, vascularization (capillary supply), senescence/DNA damage, the presence of resident stem cells, and inflammatory cells including M1 macrophages10-12. Image analysis will be performed using the automated workflow in MyoVision. | Week 0, 6, and 12 |
| Systemic Inflammation | Systemic inflammation will be assessed in serum samples using the MSD 10-plex cytokine panel. The cytokines tested, GM-CSF, IL-1alpha, IL-5, IL-7, IL-12, IL-15, IL-16, IL-17A, TNF-beta, and VEGF-A each have dynamic detection ranges respectively, 0.16-750 pg/mL, 0.09-278 pg/mL, 0.14-562 pg/mL, 0.12-563 pg/mL, 0.33-2,250 pg/mL, 0.15-525 pg/mL, 2.83-1,870 pg/mL, 0.31-3,650 pg/mL, 0.08-458 pg/mL, and1.12-562 pg/mL. Increased cytokines (high pg/mL) indicates a more active, heightened immune response with low cytokines (low pg/mL) indicating a normal resting immune system state. | Week 1 and Week 12 |
| Muscle Inflammation | Investigators will also assess muscle inflammation in a targeted manner based on the fold change in expression of 3 receptors (TNFα, Fn14, IL-6) and associated intracellular signaling (p-STAT3, NFKB p-p65). | Week 1 and Week 12 |
| Blood Biomarkers | Investigators also evaluate biomarkers in the blood using the Octave biomarker panel, a panel that measures 18 biomarkers to assess disease level in PwMS. Each biomarker generates an overall activity (DA) score from 1.0 to 10.0. Low DA score indicates more controlled, lower inflammation. A high DA score indicates high inflammation. | Week 1 and Week 12 |
| Mobility and Balance | Mobility and balance testing will be accomplished via the well-established short physical performance battery (SPPB). The scale is a minimum score of 0 and maximum score of 12 with higher scores indicating better lower extremity function. | Week -3 and Week -2 |
| Basic Cognitive Function and Balance | Investigators will assess basic cognitive function (reaction time, impulse control, visual processing speed) and balance with the Sway platform (Sway Medical). A score of 100 indicates perfect stability and lower scores indicate instability with the lowest score being 0. | Week -3 and Week -2 |
| Participant's Self Evaluation of Physical, Mental, and Social Health | Investigators will use the validated Patient-Reported Outcomes Measurement Information System (PROMIS) mental health battery to evaluate participant's perspective on physical, mental, and social health. This test uses a T-score metric (typical range of 20-80) with a mean of 50, and a standard deviation of 10, higher scores indicating higher levels of metric measured with a maximum of >70 indicating severe for negative domains like pain, and scores minimum of <55 being within normal limits/absent of negative domain. | Week -3 and Week -2 |
| Depression | Beck Depression Inventory II will be used to assess the presence and severity of depression symptoms within the past 2 weeks. Minimum score is 0 which indicates no presence of depression, and 63 being the highest score indicating the presence of severe depression. | Week -3 and Week -2 |
| Circadian Rhythm | Circadian rhythm will be assessed using the Morningness-Eveningness Questionnaire. Minimum score of 16 indicates evening preference and highest score of 86 indicates morning preference. | Week -3 and Week -2 |
| Sleep Quality | Pittsburgh Sleep Quality Index is a self-reported questionnaire that will be used to evaluate participant's sleep quality. 0 being the lowest score and 21 being the highest, with higher scores indicating poorer sleep quality. | Week -3 and Week -2 |
| Fatigue | Fatigue will be evaluated using the Modified Fatigue Impact Scale (MFIS) questionnaire to rate fatigue in three categories: physical, cognitive, and psychosocial. A total score ranging from 0 to 84, where higher scores indicate greater fatigue impacting daily life. | Week -3 and Week -2 |
| Gait Speed | A 10 Metre Walk Test will be administered to evaluate participant's gait speed and functional mobility. The total time taken to walk 10 meters is recorded, with slower speed indicating fall risks and higher speeds indicating better mobility. | Week -3 and Week -2 |
| Functional Capacity | The 6 Minute Walk Test will be used to evaluate functional capacity, and measures the distance a participant can walk in 6 minutes. Longer distance covered indicates stronger gross functional capacity. | Week -3 and Week -2 |
| Phenotyping Support with Multidimensional Interindividual Response Heterogeneity | To strengthen the phenotyping to support the multidimensional Interindividual Response Heterogeneity circuitry, investigators will use the Oura ring to monitor activity, sleep, mobility, temperature trends, and additional vital signs. | Week 1 through Week 13 |
| Glucose Monitoring | To strengthen the phenotyping to support the multidimensional Interindividual Response Heterogeneity circuitry, subjects will wear a continuous glucose monitor (CGM) for ~7 d durations using the Dexcom G8 at the beginning and end of exercise training. | Week 1 and Week 12 |
| Dietary Intake | Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool will be used to evaluate participant's dietary intake. | Week -3 to -2, Week 0, Week 6, and Week 12 |
| Blood Biomarkers | Investigators also evaluate biomarkers in the blood using the Octave biomarker panel, a panel that measures 18 biomarkers to assess disease level in PwMS. To assess inter-tissue communication, investigators will perform plasma EV long and small RNA-Seq, and whole muscle RNA-Seq and ATAC-Seq. All samples will be processed, sequenced, and analyzed. | Week 1 and Week 12 |
| Abbott CB, Lawrence MM, Kobak KA, Lopes EBP, Peelor FF 3rd, Donald EJ, Van Remmen H, Griffin TM, Miller BF. A Novel Stable Isotope Approach Demonstrates Surprising Degree of Age-Related Decline in Skeletal Muscle Collagen Proteostasis. Function (Oxf). 2021 May 10;2(4):zqab028. doi: 10.1093/function/zqab028. eCollection 2021. |
| 37448295 | Background | Fuqua JD, Lawrence MM, Hettinger ZR, Borowik AK, Brecheen PL, Szczygiel MM, Abbott CB, Peelor FF 3rd, Confides AL, Kinter M, Bodine SC, Dupont-Versteegden EE, Miller BF. Impaired proteostatic mechanisms other than decreased protein synthesis limit old skeletal muscle recovery after disuse atrophy. J Cachexia Sarcopenia Muscle. 2023 Oct;14(5):2076-2089. doi: 10.1002/jcsm.13285. Epub 2023 Jul 14. |
| 28445477 | Background | Miller B, Hamilton K, Boushel R, Williamson K, Laner V, Gnaiger E, Davis M. Mitochondrial respiration in highly aerobic canines in the non-raced state and after a 1600-km sled dog race. PLoS One. 2017 Apr 26;12(4):e0174874. doi: 10.1371/journal.pone.0174874. eCollection 2017. |
| 38923664 | Background | Bubak MP, Davidyan A, O'Reilly CL, Mondal SA, Keast J, Doidge SM, Borowik AK, Taylor ME, Voloviceva E, Kinter MT, Britton SL, Koch LG, Stout MB, Lewis TL Jr, Miller BF. Metformin treatment results in distinctive skeletal muscle mitochondrial remodeling in rats with different intrinsic aerobic capacities. Aging Cell. 2024 Sep;23(9):e14235. doi: 10.1111/acel.14235. Epub 2024 Jun 24. |
| 41015496 | Background | Graham ZA, Bubak MP, Raymond-Pope CJ, Cutter GR, McAdam JS, Tuggle SC, Siedlik JA, de Sousa LGO, Chappe EJ, Meece K, Kaur A, Ruiz BS, Bamman SC, Vanselow KM, Perry TW, Acosta-Arreguin JS, Bohmke NJ, Addison GJ, Bowers JM, Wright RL, Fuentes LD, Smith JE, Esser KA, Miller BF, Bodine SC, Bamman MM. Multidimensional Modeling to Maximize Adaptations to eXercise: the M3AX trial rationale and study design. J Appl Physiol (1985). 2025 Nov 1;139(5):1345-1356. doi: 10.1152/japplphysiol.00486.2025. Epub 2025 Sep 27. |
| 29481967 | Background | Roberts BM, Lavin KM, Many GM, Thalacker-Mercer A, Merritt EK, Bickel CS, Mayhew DL, Tuggle SC, Cross JM, Kosek DJ, Petrella JK, Brown CJ, Hunter GR, Windham ST, Allman RM, Bamman MM. Human neuromuscular aging: Sex differences revealed at the myocellular level. Exp Gerontol. 2018 Jun;106:116-124. doi: 10.1016/j.exger.2018.02.023. Epub 2018 Feb 24. |
| 34714339 | Background | Lee J, Song RJ, Musa Yola I, Shrout TA, Mitchell GF, Vasan RS, Xanthakis V. Association of Estimated Cardiorespiratory Fitness in Midlife With Cardiometabolic Outcomes and Mortality. JAMA Netw Open. 2021 Oct 1;4(10):e2131284. doi: 10.1001/jamanetworkopen.2021.31284. |
| 39631136 | Background | Gaemelke T, Pedersen IS, Dalgas U, Hvid LG. Sarcopenia in older people with multiple sclerosis: A cross-sectional study. Mult Scler Relat Disord. 2025 Jan;93:106190. doi: 10.1016/j.msard.2024.106190. Epub 2024 Nov 25. |
| 27128663 | Background | Powers SK, Lynch GS, Murphy KT, Reid MB, Zijdewind I. Disease-Induced Skeletal Muscle Atrophy and Fatigue. Med Sci Sports Exerc. 2016 Nov;48(11):2307-2319. doi: 10.1249/MSS.0000000000000975. |
| 33571792 | Background | Naseri A, Nasiri E, Sahraian MA, Daneshvar S, Talebi M. Clinical Features of Late-Onset Multiple Sclerosis: a Systematic Review and Meta-analysis. Mult Scler Relat Disord. 2021 May;50:102816. doi: 10.1016/j.msard.2021.102816. Epub 2021 Feb 4. |
| 40020214 | Background | Klistorner S, Barnett M, Parratt JDE, Yiannikas C, Wang C, Wang D, Shieh A, Klistorner A. Evolution of Chronic Lesion Tissue in Relapsing-Remitting Patients With Multiple Sclerosis: An Association With Disease Progression. Neurol Neuroimmunol Neuroinflamm. 2025 May;12(3):e200377. doi: 10.1212/NXI.0000000000200377. Epub 2025 Feb 28. |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
| D001519 | Behavior |
| D005791 |
| Patient Care |
| D013812 | Therapeutics |
| D026741 | Physical Therapy Modalities |
| D064797 | Physical Conditioning, Human |
| D015444 | Exercise |
| D009043 | Motor Activity |
| D009068 | Movement |
| D009142 | Musculoskeletal Physiological Phenomena |
| D055687 | Musculoskeletal and Neural Physiological Phenomena |