Skeletal Muscle Properties and the Metabolic Cost of Walking Post-stroke

Skeletal Muscle Properties and the Metabolic Cost of Walking Post-Stroke

Of the ~700,000 persons who suffer a stroke each year, only 50% recover the ability to perform unlimited community walking. One mechanism contributing to locomotor dysfunction post-stroke is an increased metabolic cost of walking relative to neurologically healthy individuals 2-4. This increased cost likely limits the amount of walking performed, which further reduces functional capacity, thus contributing to long-term spiral of disability and decreased quality of life in these persons. In addition to increased metabolic cost, increased estimates of mechanical work are also characteristic of hemiparetic walking 2,29. Interestingly, although estimates of mechanical work reflect work done by locomotor muscles, little is known about the impact that peripheral muscle properties have on estimates of mechanical work. Furthermore, questions concerning how these properties relate to the increased metabolic cost of walking remain unanswered. The short-term objective and purpose of the proposed research is to determine the extent to which peripheral muscle characteristics, as well as estimates of muscle mechanical energy expenditure (MMEE), relate to the metabolic cost of walking post-stroke.

Study Overview

• Status: Completed
• Conditions: Stroke
• Intervention / Treatment: Behavioral: Treadmill walking; Other: Magnetic resonance spectroscopy

Detailed Description

A guiding principle of the proposed research is that skeletal muscle is the building block of all movement and, as such, muscle dysfunction can ultimately limit the gains possible from rehabilitation intervention. Therefore, maximal gains will be made only when central nervous system adaptations access peripheral muscle that is fully capable of supporting the increased activity.

The primary hypothesis is that in persons with hemiparesis following stroke, alterations in the metabolic properties of peripheral skeletal muscles, in combination with greater mechanical work, contribute to the increased metabolic cost of walking. A secondary hypothesis is that locomotor training induces adaptations in lower extremity skeletal muscle resulting in improved mechanical and metabolic efficiency. In order to test these hypotheses, the following three specific aims will be addressed:

Aim 1: Determine the in-vivo metabolic characteristics of the ankle plantar flexor muscles in persons with chronic post-stroke hemiparesis and neurologically healthy individuals. In-vivo muscle metabolic properties will be assessed via phosphorous magnetic resonance spectroscopy (31P-MRS). Specifically, we will measure the resting phosphorylation potential as well as the in-vivo oxidative capacity of the ankle plantar flexor muscles. We hypothesize that individuals with chronic hemiparesis will exhibit reductions in oxidative capacity as well as an increased resting phosphorylation potential relative to age-, gender-, height- and weight-matched control subjects. We suggest these adaptations, which are characteristic of a less energetically efficient muscle, contribute to an increased metabolic cost beyond that resulting from potential increases in mechanical work performed by locomotor muscles.

Aim 2: Quantify metabolic cost as well as muscle mechanical energy expenditure during walking in persons with chronic post-stroke hemiparesis and neurologically healthy individuals. Post-stroke hemiparesis is associated with a variety of motor control problems that include abnormal synergistic organization of movement as well as altered temporal sequencing of muscle activity 5,10,11. Since muscle excitation during normal walking is believed to be very efficient 8,9,33 it is likely that altered muscle coordination post-stroke, reflected in increased mechanical work, is one factor contributing to the increased metabolic cost of walking. We hypothesize that the metabolic cost of walking post-stroke will be elevated relative to controls at matched speeds. Additionally, a measure of mechanical work, muscle mechanical energy expenditure (MMEE), will be elevated post-stroke, reflective of mechanically inefficient movement strategies and causal to a portion of the increased metabolic cost of walking.

Aim 3: Determine the impact of 12 weeks of locomotor training on in-vivo muscle metabolic properties, the metabolic cost of walking as well as MMEE in persons with chronic post-stroke hemiparesis. There is emerging evidence that chronic neurologic deficits due to stroke can be improved through intensive, repetitive task-oriented motor training (e.g. locomotor training). The basis for locomotor training (LT) improvements is thought to involve mechanisms of central neuroplasticity that are responsive to fundamental principles of motor learning 37,38,39. In addition, our pilot data demonstrate that LT may also result in peripheral adaptations in the plantar flexor muscles. Thus, the potential seemingly exists to induce both central and peripheral adaptations with this intervention strategy. We expect that LT will attenuate existing deficits, resulting in an increased oxidative capacity and a decreased resting phosphorylation potential in ankle plantar flexor muscles. In addition, LT will result in a reduced MMEE and a reduced metabolic cost of walking, reflective of improved mechanical and metabolic efficiency. We believe it will prove important to describe adaptations in walking mechanics as well as within peripheral muscle that occur following LT and relate them to the metabolic cost of walking. In addition, continued deficits will reflect a need for additional or adjunctive intervention strategies, thus providing information on how to modify or augment future rehabilitation interventions in order to improve individual outcomes.

• Study Type: Observational
• Enrollment (Actual): 30

Contacts and Locations

Study Locations

• United States
  • South Carolina
    • Charleston, South Carolina, United States, 29401-5799
      • Ralph H. Johnson VA Medical Center, Charleston, SC

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 80 years (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

community sample

Description

Inclusion Criteria:

• age 18-80;
• stroke within past 6 months - 5 years;
• residual paresis in the lower extremity (LE) (Fugl-Meyer motor score <34);
• ability to sit unsupported for 30 sec;
• ability to walk at least 10 ft with maximum 1 person assist;
• self selected 10 meter gait speed < 0.8 m/s; and
• provision of informed consent.

Exclusion Criteria:

• Unable to ambulate at least 150 feet prior to stroke, or experienced intermittent claudication while walking < 200 meters;
• history of congestive heart failure, unstable cardiac arrhythmias, hypertrophic cardiomyopathy, severe aortic stenosis, angina or dyspnea at rest or during activities of daily living;
• History of chronic obstructive pulmonary disease or oxygen dependence;
• Preexisting neurological disorders, dementia or previous stroke;
• History of major head trauma;
• Legal blindness or severe visual impairment;
• history of significant psychiatric illness;
• Life expectancy <1 yr;
• Severe arthritis or orthopedic problems that limit passive range of motion (ROM);
• post-stroke depression (PHQ-9 10);
• History of deep vein thrombosis (DVT) or pulmonary embolism within 6 months;
• Uncontrolled diabetes with recent weight loss, diabetic coma, or frequent insulin reactions;
• Severe hypertension with systolic >200 mmHg and diastolic >110 mmHg at rest;
• Previous or current enrollment in a clinical trial to enhance motor recovery;
• Presence of non-magnetic resonance (MR) compatible implants or devices, pregnancy or severe claustrophobia.

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
Stroke; Stroke subjects	Behavioral: Treadmill walking; Subjects will perform treadmill walking at a self-selected velocity; Other: Magnetic resonance spectroscopy; Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS)
Control; neurologically healthy subjects	Behavioral: Treadmill walking; Subjects will perform treadmill walking at a self-selected velocity; Other: Magnetic resonance spectroscopy; Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS)

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Oxygen Consumption During Walking	Amount of oxygen consumed during walking at self-selected speed normalized to speed	within one week of enrollment

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Muscle Mechanical Energy Expenditure	mechanical work done by lower extremity joints	one time measure within one week of enrollment
Magnetic Resonance Spectroscopy of Muscle Metabolic Properties	time constant indicating the time for recovery in muscle phosphocreatine levels following exercise as a metric of muscle oxidative capacity.	within one week of enrollment

Collaborators and Investigators

• Sponsor: VA Office of Research and Development
• Collaborators: Medical University of South Carolina
• Investigators: Principal Investigator: Chris M. Gregory, PhD, Ralph H. Johnson VA Medical Center, Charleston, SC

Study record dates

Study Major Dates

• Study Start: August 1, 2008
• Primary Completion (Actual): July 1, 2012
• Study Completion (Actual): September 1, 2013

Study Registration Dates

• First Submitted: July 21, 2008
• First Submitted That Met QC Criteria: July 23, 2008
• First Posted (Estimate): July 24, 2008

Study Record Updates

• Last Update Posted (Actual): March 18, 2019
• Last Update Submitted That Met QC Criteria: December 7, 2018
• Last Verified: December 1, 2018

More Information

Terms related to this study

• Keywords: Magnetic Resonance Imaging; work; muscles; control groups
• Additional Relevant MeSH Terms: Cardiovascular Diseases; Vascular Diseases; Cerebrovascular Disorders; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Stroke
• Other Study ID Numbers: B6341-W