- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03139344
Long Duration Activity and Metabolic Control After Spinal Cord Injury
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Skeletal muscle is a critical organ for regulating glucose and insulin in the body as a whole, and post-spinal cord injury (SCI) adaptations in muscle severely undermine this capacity. Contemporary SCI rehabilitation for people with complete SCI does not intervene to protect the function of paralyzed skeletal muscle as a key regulator of metabolic homeostasis. Through its deleterious effects on multiple systems, metabolic disease is one of the leading sources of morbidity, mortality, and health care cost for this population.
In the non-SCI population, pervasive, frequent, low-magnitude muscle contractions can increase energy expenditure by 50.3% above sitting levels. The loss of this component of muscle activity contributes to the energy imbalance and metabolic dysregulation observed in SCI. Subsidizing low-magnitude muscle contractions may offer an important metabolic stimulus for people with SCI. The significance of this study is that it builds on previous work demonstrating healthful transcriptional and translational gene adaptations in response to electrical stimulation training in SCI. These adaptations may initiate improvements in systemic biomarkers of metabolic health and improvements in secondary health conditions and health-related quality of life.
In our previous work, we demonstrated that regular electrical stimulation of paralyzed muscle up-regulates PGC-1α, a key transcriptional co-activator for skeletal muscle and metabolic adaptation. Our previous work also indicates that electrical stimulation alters the expression of genes controlling mitochondrial biogenesis. However, we understand very little about the optimal amount of electrically-evoked muscle activity to deliver in order to promote positive metabolic adaptations. Long duration, low force contractions are likely to be most advantageous for promoting metabolic stability in people with chronic SCI, who also have osteoporosis and are unable to receive high force muscle contractions induced by conventional rehabilitation protocols. This study will intervene with a protocol of low-force, long-duration muscle stimulation designed to instigate systemic metabolic adaptations. In the proposed study we hypothesize that gene-level adaptations will yield tissue-level improvements in glucose utilization that facilitate systemic improvements in clinical markers of metabolic control, culminating in fewer secondary health conditions and enhanced health-related quality of life.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Iowa
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Iowa City, Iowa, United States, 52242
- University of Iowa
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Motor complete SCI (AIS A-B)
Exclusion Criteria:
- Pressure ulcers, chronic infection, lower extremity muscle contractures, deep vein thrombosis, bleeding disorder, recent limb fractures, pregnancy, metformin or other medications for diabetes
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Acute gene regulation: low frequency
Adaptations in gene regulation in response to single-session low-frequency exercise.
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The quadriceps/hamstrings will perform exercise via the application of low-frequency electrical stimulation.
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Experimental: Acute gene regulation: high frequency
Adaptations in gene regulation in response to single-session high-frequency exercise.
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The quadriceps/hamstrings will perform exercise via the application of high-frequency electrical stimulation.
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Experimental: Training study: low frequency
Adaptations in gene regulation, systemic metabolic markers, and patient-report metrics in response to training with low-frequency exercise.
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The quadriceps/hamstrings will perform exercise via the application of low-frequency electrical stimulation.
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Experimental: Training study: high frequency
Adaptations in gene regulation in response to training with high-frequency exercise.
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The quadriceps/hamstrings will perform exercise via the application of high-frequency electrical stimulation.
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No Intervention: Comparator cohort
Participants will undergo selected outcome measures to provide comparison values for Experimental arms.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Acute Gene Regulation: NR4A3 mRNA Expression Pre and Post-Stimulation
Time Frame: 3 hours after a single session of electrical stimulation
|
Acute post-stimulation effect upon skeletal muscle nuclear receptor subfamily 4 group A member 3 (NR4A3) expression, measured via muscle biopsy and exon array analysis.
Probe summarization and probe set normalization were performed using robust multichip average, which included background correction, quantile normalization, log2 transformation and median polish probe set summarization. 0 represents no mRNA expression and higher values represent greater expression compared to all genes in the microarray.
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3 hours after a single session of electrical stimulation
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Acute Gene Regulation: PGC1-alpha mRNA Expression Pre and Post-Stimulation
Time Frame: 3 hours after a single session of electrical stimulation
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Acute post-stimulation effect upon skeletal muscle peroxisome proliferator-activated gamma coactivator (PGC1-alpha) expression, measured via muscle biopsy and exon array analysis.
Probe summarization and probe set normalization were performed using robust multichip average, which included background correction, quantile normalization, log2 transformation and median polish probe set summarization. 0 represents no mRNA expression and higher values represent greater expression compared to all genes in the microarray.
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3 hours after a single session of electrical stimulation
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Acute Gene Regulation: ABRA mRNA Expression Pre and Post-Stimulation
Time Frame: 3 hours after a single session of electrical stimulation
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Acute post-stimulation effect upon skeletal muscle actin binding Rho activating protein (ABRA) expression, measured via muscle biopsy and exon array analysis.
Probe summarization and probe set normalization were performed using robust multichip average, which included background correction, quantile normalization, log2 transformation and median polish probe set summarization. 0 represents no mRNA expression and higher values represent greater expression compared to all genes in the microarray.
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3 hours after a single session of electrical stimulation
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Acute Gene Regulation: PDK4 mRNA Expression Pre and Post-Stimulation
Time Frame: 3 hours after a single session of electrical stimulation
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Acute post-stimulation effect upon skeletal muscle pyruvate dehydrogenase kinase 4 (PDK4) expression, measured via muscle biopsy and exon array analysis.
Probe summarization and probe set normalization were performed using robust multichip average, which included background correction, quantile normalization, log2 transformation and median polish probe set summarization. 0 represents no mRNA expression and higher values represent greater expression compared to all genes in the microarray.
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3 hours after a single session of electrical stimulation
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Post-training Gene Regulation: MYH6 mRNA Expression Baseline and Post-Training
Time Frame: 6 months
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Pre- and post-training skeletal muscle myosin heavy chain 6 (MYH6) expression, measured via muscle biopsy and exon array analysis.
Probe summarization and probe set normalization were performed using robust multichip average, which included background correction, quantile normalization, log2 transformation and median polish probe set summarization. 0 represents no mRNA expression and higher values represent greater expression compared to all genes in the microarray.
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6 months
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Post-training Gene Regulation: MYL3 mRNA Expression Baseline and Post-Training
Time Frame: 6 months
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Pre- and post-training skeletal muscle myosin light chain 3 (MYL3) expression, measured via muscle biopsy and exon array analysis.
Probe summarization and probe set normalization were performed using robust multichip average, which included background correction, quantile normalization, log2 transformation and median polish probe set summarization. 0 represents no mRNA expression and higher values represent greater expression compared to all genes in the microarray.
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6 months
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Post-training Gene Regulation: MYH7 mRNA Expression Baseline and Post-Training
Time Frame: 6 months
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Pre- and post-training skeletal muscle myosin heavy chain 7 (MYH7) expression, measured via muscle biopsy and exon array analysis.
Probe summarization and probe set normalization were performed using robust multichip average, which included background correction, quantile normalization, log2 transformation and median polish probe set summarization. 0 represents no mRNA expression and higher values represent greater expression compared to all genes in the microarray.
|
6 months
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Post-training Gene Regulation: ACTN3 mRNA Expression Baseline and Post-Training
Time Frame: 6 months
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Pre- and post-training skeletal muscle actin 3 (ACTN3) expression, measured via muscle biopsy and exon array analysis.
Probe summarization and probe set normalization were performed using robust multichip average, which included background correction, quantile normalization, log2 transformation and median polish probe set summarization. 0 represents no mRNA expression and higher values represent greater expression compared to all genes in the microarray.
|
6 months
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Post-training Metabolism: Fasting Insulin
Time Frame: 6 months
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Pre- and post-training fasting insulin, measured via venipuncture and standard laboratory assays
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6 months
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Post-training Metabolism: Fasting Glucose
Time Frame: 6 months
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Pre- and post-training fasting glucose, measured via venipuncture and standard laboratory assays
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6 months
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Post-training Metabolism: Fasting Glucose-insulin Ratio
Time Frame: 6 months
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Pre- and post-training ratio of fasting glucose to fasting insulin, measured via venipuncture and standard laboratory assays
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6 months
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Post-training Metabolism: Fasting Hemoglobin A1c (HBA1c)
Time Frame: 6 months
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Pre- and post-training fasting Hemoglobin A1C (HbA1c), measured via venipuncture and standard laboratory assays
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6 months
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Post-training Metabolism: C-reactive Protein (CRP)
Time Frame: 6 months
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Pre- and post-training C-reactive protein (CRP), measured via venipuncture and standard laboratory assays
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6 months
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Pre-training Subject-report Measures: PROMIS Physical Health
Time Frame: Baseline
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Pre-training Patient Reported Outcomes Measurement Information Systems (PROMIS) Global Health - Physical health T-score Theoretical minimum = 16.2, Theoretical maximum = 67.7, higher scores signify more of the construct being measured (eg. physical health). US population mean = 50, SD = 10. |
Baseline
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Pre-training Subject Report Measures: PROMIS Mental Health
Time Frame: Baseline
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Pre-training Patient Reported Outcomes Measurement Information Systems (PROMIS) Global Health - Mental health T-score Theoretical minimum = 21.2, Theoretical maximum = 67.6, higher scores signify more of the construct being measured (eg. mental health). US population mean = 50, SD = 10. |
Baseline
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Post-training Subject-report Measures: PROMIS Physical Health
Time Frame: 6 months
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Pre- and post-training Patient Reported Outcomes Measurement Information Systems (PROMIS) Global Health - Physical health T-score Theoretical minimum = 16.2, Theoretical maximum = 67.7, higher scores signify more of the construct being measured (eg. physical health). US population mean = 50, SD = 10. |
6 months
|
Post-training Subject-report Measures: PROMIS Mental Health
Time Frame: 6 months
|
Pre- and post-training Patient Reported Outcomes Measurement Information Systems (PROMIS) Global Health - Mental health T-score Theoretical minimum = 21.2, Theoretical maximum = 67.6, higher scores signify more of the construct being measured (eg. mental health). US population mean = 50, SD = 10. |
6 months
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Richard K Shields, PhD, PT, University of Iowa
Publications and helpful links
General Publications
- Dudley-Javoroski S, Saha PK, Liang G, Li C, Gao Z, Shields RK. High dose compressive loads attenuate bone mineral loss in humans with spinal cord injury. Osteoporos Int. 2012 Sep;23(9):2335-46. doi: 10.1007/s00198-011-1879-4. Epub 2011 Dec 21.
- Dudley-Javoroski S, Shields RK. Dose estimation and surveillance of mechanical loading interventions for bone loss after spinal cord injury. Phys Ther. 2008 Mar;88(3):387-96. doi: 10.2522/ptj.20070224. Epub 2008 Jan 17.
- Dudley-Javoroski S, Shields RK. Active-resisted stance modulates regional bone mineral density in humans with spinal cord injury. J Spinal Cord Med. 2013 May;36(3):191-9. doi: 10.1179/2045772313Y.0000000092.
- Dudley-Javoroski S, Littmann AE, Iguchi M, Shields RK. Doublet stimulation protocol to minimize musculoskeletal stress during paralyzed quadriceps muscle testing. J Appl Physiol (1985). 2008 Jun;104(6):1574-82. doi: 10.1152/japplphysiol.00892.2007. Epub 2008 Apr 24.
- Dudley-Javoroski S, Shields RK. Assessment of physical function and secondary complications after complete spinal cord injury. Disabil Rehabil. 2006 Jan 30;28(2):103-10. doi: 10.1080/09638280500163828.
- Adams CM, Suneja M, Dudley-Javoroski S, Shields RK. Altered mRNA expression after long-term soleus electrical stimulation training in humans with paralysis. Muscle Nerve. 2011 Jan;43(1):65-75. doi: 10.1002/mus.21831.
- Frey Law LA, Shields RK. Femoral loads during passive, active, and active-resistive stance after spinal cord injury: a mathematical model. Clin Biomech (Bristol, Avon). 2004 Mar;19(3):313-21. doi: 10.1016/j.clinbiomech.2003.12.005.
- Kunkel SD, Suneja M, Ebert SM, Bongers KS, Fox DK, Malmberg SE, Alipour F, Shields RK, Adams CM. mRNA expression signatures of human skeletal muscle atrophy identify a natural compound that increases muscle mass. Cell Metab. 2011 Jun 8;13(6):627-38. doi: 10.1016/j.cmet.2011.03.020.
- McHenry CL, Wu J, Shields RK. Potential regenerative rehabilitation technology: implications of mechanical stimuli to tissue health. BMC Res Notes. 2014 Jun 3;7:334. doi: 10.1186/1756-0500-7-334.
- McHenry CL, Shields RK. A biomechanical analysis of exercise in standing, supine, and seated positions: Implications for individuals with spinal cord injury. J Spinal Cord Med. 2012 May;35(3):140-7. doi: 10.1179/2045772312Y.0000000011.
- Petrie MA, Suneja M, Faidley E, Shields RK. A minimal dose of electrically induced muscle activity regulates distinct gene signaling pathways in humans with spinal cord injury. PLoS One. 2014 Dec 22;9(12):e115791. doi: 10.1371/journal.pone.0115791. eCollection 2014.
- Petrie MA, Suneja M, Faidley E, Shields RK. Low force contractions induce fatigue consistent with muscle mRNA expression in people with spinal cord injury. Physiol Rep. 2014 Feb 25;2(2):e00248. doi: 10.1002/phy2.248. eCollection 2014 Feb 1.
- Shields RK, Dudley-Javoroski S. Monitoring standing wheelchair use after spinal cord injury: a case report. Disabil Rehabil. 2005 Feb 4;27(3):142-6. doi: 10.1080/09638280400009337.
- Petrie M, Suneja M, Shields RK. Low-frequency stimulation regulates metabolic gene expression in paralyzed muscle. J Appl Physiol (1985). 2015 Mar 15;118(6):723-31. doi: 10.1152/japplphysiol.00628.2014. Epub 2015 Jan 29.
- Zhorne R, Dudley-Javoroski S, Shields RK. Skeletal muscle activity and CNS neuro-plasticity. Neural Regen Res. 2016 Jan;11(1):69-70. doi: 10.4103/1673-5374.169623. No abstract available.
- Petrie MA, Kimball AL, McHenry CL, Suneja M, Yen CL, Sharma A, Shields RK. Distinct Skeletal Muscle Gene Regulation from Active Contraction, Passive Vibration, and Whole Body Heat Stress in Humans. PLoS One. 2016 Aug 3;11(8):e0160594. doi: 10.1371/journal.pone.0160594. eCollection 2016.
- Shields RK. Turning Over the Hourglass. Phys Ther. 2017 Oct 1;97(10):949-963. doi: 10.1093/ptj/pzx072.
- Woelfel JR, Kimball AL, Yen CL, Shields RK. Low-Force Muscle Activity Regulates Energy Expenditure after Spinal Cord Injury. Med Sci Sports Exerc. 2017 May;49(5):870-878. doi: 10.1249/MSS.0000000000001187.
- Yen CL, McHenry CL, Petrie MA, Dudley-Javoroski S, Shields RK. Vibration training after chronic spinal cord injury: Evidence for persistent segmental plasticity. Neurosci Lett. 2017 Apr 24;647:129-132. doi: 10.1016/j.neulet.2017.03.019. Epub 2017 Mar 16.
- Oza PD, Dudley-Javoroski S, Shields RK. Modulation of H-Reflex Depression with Paired-Pulse Stimulation in Healthy Active Humans. Rehabil Res Pract. 2017;2017:5107097. doi: 10.1155/2017/5107097. Epub 2017 Oct 31.
- Woelfel JR, Dudley-Javoroski S, Shields RK. Precision Physical Therapy: Exercise, the Epigenome, and the Heritability of Environmentally Modified Traits. Phys Ther. 2018 Nov 1;98(11):946-952. doi: 10.1093/ptj/pzy092.
- Cole KR, Dudley-Javoroski S, Shields RK. Hybrid stimulation enhances torque as a function of muscle fusion in human paralyzed and non-paralyzed skeletal muscle. J Spinal Cord Med. 2019 Sep;42(5):562-570. doi: 10.1080/10790268.2018.1485312. Epub 2018 Jun 20.
- Dudley-Javoroski S, Lee J, Shields RK. Cognitive function, quality of life, and aging: relationships in individuals with and without spinal cord injury. Physiother Theory Pract. 2022 Jan;38(1):36-45. doi: 10.1080/09593985.2020.1712755. Epub 2020 Jan 8.
- Petrie MA, Sharma A, Taylor EB, Suneja M, Shields RK. Impact of short- and long-term electrically induced muscle exercise on gene signaling pathways, gene expression, and PGC1a methylation in men with spinal cord injury. Physiol Genomics. 2020 Feb 1;52(2):71-80. doi: 10.1152/physiolgenomics.00064.2019. Epub 2019 Dec 23.
- Lee J, Dudley-Javoroski S, Shields RK. Motor demands of cognitive testing may artificially reduce executive function scores in individuals with spinal cord injury. J Spinal Cord Med. 2021 Mar;44(2):253-261. doi: 10.1080/10790268.2019.1597482. Epub 2019 Apr 3.
- Shields RK. Precision Rehabilitation: How Lifelong Healthy Behaviors Modulate Biology, Determine Health, and Affect Populations. Phys Ther. 2022 Jan 1;102(1):pzab248. doi: 10.1093/ptj/pzab248. No abstract available.
- Shields RK, Dudley-Javoroski S. Epigenetics and the International Classification of Functioning, Disability and Health Model: Bridging Nature, Nurture, and Patient-Centered Population Health. Phys Ther. 2022 Jan 1;102(1):pzab247. doi: 10.1093/ptj/pzab247.
- Petrie MA, Taylor EB, Suneja M, Shields RK. Genomic and Epigenomic Evaluation of Electrically Induced Exercise in People With Spinal Cord Injury: Application to Precision Rehabilitation. Phys Ther. 2022 Jan 1;102(1):pzab243. doi: 10.1093/ptj/pzab243.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 201503732
- R01HD082109 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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