Abstract
The purpose of this report is to examine longitudinal bone mineral density (BMD) changes in individuals with spinal cord injury (SCI) who began unilateral soleus electrical stimulation early after injury. Twelve men with SCI and seven without SCI underwent peripheral quantitative computed tomography assessment of distal tibia BMD. After 4.5 to 6 years of training, average trained limb BMD was 27.5% higher than untrained limb BMD. The training effect was more pronounced in the central core of the tibia cross-section (40.5% between-limb difference). No between-limb difference emerged in the anterior half of the tibia (19.2 mg/cm3 difference, p>0.05). A robust between-limb difference emerged in the posterior half of the tibia (76.1 mg/cm3 difference, p=0.0439). The posterior tibia BMD of one subject remained within the range of non-SCI values for 3.8 years post-SCI. The results support that the constrained orientation of soleus mechanical loads, administered over several years, elicited bone-sparing effects in the posterior tibia. This study provides a demonstration of the bone-protective potential of a carefully controlled dose of mechanical load. The specific orientation of applied mechanical loads may strongly influence the manifestation of BMD adaptations in humans with SCI.
Keywords: Peripheral Quantitative Computed Tomography, Electrical Stimulation, Compression, Tension
Introduction
The loss of normal physiologic loading after spinal cord injury (SCI) predisposes people with paralysis to rapid, severe bone mineral density (BMD) decline in paralyzed extremities. Because muscular contractions are the largest contributor of loads to bone1, the restoration of muscular loads is a logical prospective strategy for the preservation of BMD after SCI. Over the years, it has become clear that not all forms of artificial muscular loading (induced via electrical stimulation) possess the same potential efficacy2. In studies that failed to demonstrate a bone anabolic response to muscular loading, numerous uncertainties remain about the magnitude, frequency, duration, and subject compliance with the tested intervention3-10. Such difficulty in establishing the optimal dose for bone-protective interventions limits our ability to judge the merits of mechanical loading for preventing post-SCI bone loss11.
The interpretation of mechanical loading protocols is made clearer when the dose of the applied intervention is carefully monitored and controlled. We recently demonstrated that long-term electrically-elicited soleus contractions delivered sufficient loads to the tibia to attenuate the post-SCI decline in trabecular BMD12. Soleus loads approximated 1.5 times body weight and were performed ∼8,000 times a month over the study. Because subjects performed most training bouts at home, we tracked subject compliance via data-monitoring software housed in the muscle stimulator (rather than with logbooks, phone calls, or other traditional compliance-monitoring methods). This level of surveillance allowed us to intervene when compliance fluctuated and it facilitated our understanding of long-term training effects. We now understand the approximate dose of stress necessary to elicit the observed training effect (31% higher BMD in trained limbs than in untrained limbs12).
To simplify the design of the soleus biomechanical model, we conceptualized that soleus mechanical loads would uniformly load the entire tibia cross-section. However, we know that while bone is a rigid material, it should bend when exposed to soleus muscle contraction forces13. We suspected that asymmetric training effects occurred in the tibiae of individuals involved with long-term soleus training. If this were indeed the case, we would gain an important insight into whether single-muscle electrical stimulation protocols should be superseded by multiple-muscle protocols designed to more symmetrically load the bone. Secondly, the hormonal, vascular, and neural factors known to contribute to post-SCI bone loss14-21 likely influence the posterior and anterior regions of the tibia in a relatively uniform manner. Accordingly, an asymmetric training effect due to mechanical loading would shed light on the complex interplay of the many factors that precipitate post-SCI bone loss.
The purpose of this study is to examine the symmetry of longitudinal BMD changes in men who began a unilateral soleus electrical stimulation protocol early after SCI and who continued loading the tibia in this manner for up to 6 years. We compare the magnitude of the training effect to people with sub-acute SCI, chronic SCI, and people without SCI. In addition, we present a new method to inspect the tibia cross-section for asymmetrical training effects due to muscle loading. We hypothesize that BMD loss will be asymmetric in accordance with the stresses associated with soleus muscle activation.
Methods
Subjects
Twelve individuals with SCI underwent peripheral quantitative computed tomography (pQCT) assessment of the distal tibia (Table 1). All subjects presented with motor complete (ASIA A or B22) SCI. The protocol was approved by the University of Iowa Human Subjects Institutional Review Board and all subjects provided written informed consent before participating. An additional seven individuals without SCI underwent pQCT assessment as the control cohort. Exclusion criteria for all subjects were a history of bone pathology (i.e., bone metabolic disease, cancer, etc.), thyroid disorder, previous fracture at the scan site, and medications known to affect bone metabolism. Subjects with SCI were excluded if they experienced frequent spasms that would likely induce pQCT scan artifacts.
Table 1.
Subject | Age | SCI level |
ASIA22 Score |
SCI years |
Training Participant |
---|---|---|---|---|---|
SCI 1 | 28 | T4 | A | 5.2 | Y |
SCI 2 | 26 | T4 | A | 4.6 | Y |
SCI 3 | 36 | T9 | A | 6.2 | Y |
SCI 4 | 39 | T8 | A | 1.6 | N |
SCI 5 | 21 | T8 | A | 2.2 | N |
SCI 6 | 28 | T7 | A | 0.9 | N |
SCI 7 | 49 | C6-7 | B | 0.3 | N |
SCI 8 | 22 | T11 | A | 0.8 | N |
SCI 9 | 35 | C5-6 | B | 18 | N |
SCI 10 | 32 | C8 | A | 18.5 | N |
SCI 11 | 46 | C5-6 | B | 22.5 | N |
SCI 12 | 72 | C5-6 | A | 18.5 | N |
NON 1 | 24 | - | - | - | - |
NON 2 | 25 | - | - | - | - |
NON 3 | 30 | - | - | - | - |
NON 4 | 34 | - | - | - | - |
NON 5 | 43 | - | - | - | - |
NON 6 | 50 | - | - | - | - |
NON 7 | 61 | - | - | - | - |
SCI and non-SCI subjects are denoted by “SCI” and “NON”, respectively.
The non-SCI and chronic SCI subjects appeared in a previous report23. For the current report, their data are presented using new analysis procedures that offer enhanced information about the spatial features of the tibia cross-section. Data from the non-SCI subjects and the chronic SCI subjects provide “bookend” values to which the longitudinal data can be compared. Data from subject SCI 1 recently appeared in a case report13.
Longitudinal data are provided by two cohorts of subjects with SCI of varying durations (Figure 1). First, three subjects (SCI 1, 2, and 3, Table 1) were enrolled in a unilateral soleus training program within our laboratory. Five additional subjects (SCI 4-8, Table 1) with acute or subacute SCI performed no soleus training.
The scan session time for both limbs (including time for transfers and positioning) was approximately 90 minutes. At his initial assessment, subject SCI 6 was still gaining medical stability and could not tolerate a long scan session. Only his left tibia was scanned on that date. Subject SCI 8 also elected to undergo unilateral assessment due to time constraints. All other scans were conducted bilaterally, and data from the two limbs can be compared in the figures (the two limbs for any given scan date share x-axis coordinates).
Training history and dose
Subjects SCI 1, 2, and 3 appeared in a previously published report of isometric soleus muscle electrical stimulation training12. The present report includes a new spatial partitioning analysis of these subjects' pQCT scans and an additional 2-3 years of data (Figure 2) regarding bone (tibia) adaptations to training. In brief, the subjects stimulate one soleus on 5 days per week using a home-based limb constraining system, stimulator and data logger. Unilateral stimulation provided a within-subject control that minimized the confounding influences inherent to recruiting a separate non-training control group (maturational, hormonal, and dietary differences, to name a few). During electrical stimulation training, the subject's knee was positioned at 90 degrees of flexion and the foot was tightly secured to a platform via straps over the knee. This limb constraint system prevented plantar flexion during soleus stimulation. Because the gastrocnemius muscle origin is proximal to the knee, placing the knee in 90 degrees of flexion minimized the torque that could be developed by the gastrocnemius24. The mechanical loads delivered to the tibia were predominantly generated by contraction of the soleus muscle.
The soleus was activated maximally (15 Hz) for 667 milliseconds every 2 seconds for 120 contractions. The data logger records the date, time, and number of stimulus pulses delivered to the muscle, enabling us to track subject compliance with the requested dose of loading. These subjects began home-based soleus training within the first 16 weeks post-SCI and have continued training for between 4.4 and 6 years. The subjects were requested to perform 10,000 soleus contractions per month and have successfully maintained over 80% compliance (8,000 contractions per month) with this prescribed loading dose throughout their training tenure. We previously determined that the dose of compressive load delivered to the distal tibia via this training method approximates 1.5 times body weight12.
pQCT measurements
Scan procedure
pQCT measurements were performed with a Stratec XCT-2000 or 3000 densitometer (Stratec Medical, Pforzheim, Germany). Accuracy of this device is 2% (to the COMAC phantom); precision is +/−3 mg/cm3 for trabecular bone and +/−9 mg/cm3 for cortical bone25. This device is calibrated with respect to fat (fat density=0 mg/cm3).
The tibiae were marked and measured according to our standard procedure23. Briefly, each subject placed one leg in a “figure-4” position (the lateral side of one foot resting on the contralateral knee). The investigators marked the most distal palpable tip of the medial malleolus and the most proximal edge of the medial tibial plateau with a fine-point pen. The investigators obtained tibia length by measuring between these marks, then repeated this procedure for the other limb. They then passed one of the subject's limbs through the pQCT gantry and secured the subject's foot onto a footplate. Using an inclinometer placed just distal to the tibial tuberosity, the investigators adjusted the vertical height of the footplate in order to bring the pitch of the shank to horizontal. A radiology technician performed a scout view of the talocrural joint and placed a reference line at the tibia endplate, bisecting the region of highest density at the lateral side of the distal tibia. Using this reference line, the scanner obtained an image at 4% of tibia length (Figure 1). The voxel size was 0.4 mm3, the scanner speed was 25 mm/s, and slice thickness was 2.2 mm.
Routine analysis procedures
The first post-scan analysis provided overall BMD values for the entire distal tibia cross-section. An investigator defined a region of interest that incorporated a small amount of soft tissue outside of the periosteal margin. A threshold algorithm removed voxels below 200 mg/cm3, starting from the outer edge of the region of interest and moving inward. This removed all voxels corresponding to muscle and fat and defined the periosteal edge. (Our previous pQCT reports12,23 used a variation of this method (a more complex iterative contour search), but we found that this strategy often failed to detect the periosteal border in subjects with very low BMD, such as those with chronic SCI. To preserve uniform analysis procedures for all subjects, we employed a simpler threshold approach in this report). Inside the periosteal border, densities higher than 400 mg/cm3 were defined as cortical/subcortical bone and values lower than this threshold were defined as trabecular bone. A 3×3 voxel filter then proofed the image to detect pockets of high-density values. Voxels that had substantially higher BMD than the surrounding voxels were reassigned as subcortical bone and were excluded from further analysis. Trabecular BMD was obtained from the resulting image (a trabecular core with the cortical shell “peeled” away) (Figure 1). Because the cortical shell is very thin at 4% (and is therefore subject to the partial-volume effect26), we report only trabecular BMD for this site.
To facilitate comparison of our data with previously-reported values, we conducted a second analysis using a peel strategy commonly employed by other research groups27,28. As above, we delineated the periosteal contour using a 200 mg/cm3 threshold. Next, we applied a “concentric peel” starting at the periosteal edge and ending when only 45% of the bone area remained (Figure 1). Trabecular BMD is reported for this central region of the tibia cross-section.
Anterior-posterior compartment analysis
In order to examine regional differences in tibia bone adaptation to soleus load, we devised a method to partition the tibia cross-section into anterior and posterior compartments. An investigator drew a line that touched the posterior surface of the tibia and the fibula. The investigator then drew a second line parallel to the first line, anchored at the most anterior voxel of the fibula. The posterior line was erased, leaving the line bisecting the tibia image (Figure 1). Beginning and ending where this line intersected the periosteum, the investigator traced a region of interest that adhered tightly to the posterior tibia periosteal border along a periosteal density zone corresponding to 153.4 mc/cm3 (a maroon color that was easily discernible in the display palette). Again starting and ending at the periosteum, the investigator created a similar region of interest encompassing the anterior half of the tibia.
For both the anterior and posterior tibia regions of interest, we applied a threshold of −100 mg/cm3 to define the “periosteal” border. This very low threshold eliminated no voxels from the region of interest; we thus analyzed all cortical, trabecular, and fat voxels in the image. By using a low threshold that retained marrow fat voxels, we forced the contour detection algorithm to follow the line bisecting the tibia, rather than seeking to follow (often sporadic) trabecular bone voxels. We continued to use a threshold of 400 mg/cm3 and a 3×3 voxel filter in the next analysis step to exclude cortical and subcortical voxels, then obtained the trabecular density of each semicircular region of interest. We are therefore able to quantify the degree to which the trabecular lattice has been replaced by fatty marrow, even for subjects with extremely little surviving trabecular bone.
Repeatability of the partitioning protocol
The placement of the line bisecting the tibia required a degree of visual discernment by the investigator. We assessed the reproducibility of this procedure by placing the line of demarcation in a single image over two blinded trials. We measured the BMD difference between the two trials to determine the maximum BMD error associated with variations in line placement. We also determined the degree to which the endpoints of the line of demarcation differed between the two blinded trials (repeatability). We determined repeatability of line placement and BMD error due to line placement for the first and final scans of half of the SCI subjects (SCI 1 through SCI 6, Table 1).
Statistical procedures
We calculated Pearson Product Moment correlation coefficients, performed a paired t-test, and calculated the BMD percentage error to establish the repeatability of the tibia partitioning protocol. We used a two-way ANOVA to compare the BMD of the anterior and posterior partitions between and within subject cohorts. We also used one-way ANOVAs to determine whether the percentage difference between anterior and posterior BMD for the soleus training subjects differed from other subject cohorts. Significance was set at p=0.05.
Results
Repeatability of the partitioning protocol
Overall, a line endpoint could be placed within 0.349 (SE=0.034) summed mm from its previous blinded location (r=0.99). BMD did not differ between repeated line-placement trials (p>0.05, r=0.99). Therefore, the degree of line-placement error had a negligible effect on measured BMD. For both the anterior and posterior regions, mean absolute BMD difference between the first and second trials was 0.957 mg/cm3. (SE=0.161 and 0.166 mg/cm3 respectively, range=0.10 to 3.30 mg/cm3). This equalled an average 0.537% error in BMD over repeated line placement trials. The worst-case BMD error (3.30 mg/cm3) was equivalent to a 1.45% difference in BMD between trials.
Training effects
A representative example shows the BMD of the trained and untrained limbs of an individual with SCI (Figure 2). Trabecular BMD at the 4% tibia site for the non-SCI subjects averaged 255.2 (7.3) mg/cm3 (Figure 3) and did not differ between left and right limbs (p=0.55). Data values for subjects scanned within the first year after SCI clustered around this value (range 190.7 (SCI 7) to 294.6 (SCI 8)). Three subjects scanned longitudinally showed a gradual BMD decline of up to 35% in the first 2.0 years post-SCI (SCI 4-6). Subjects with chronic SCI demonstrated the lowest average BMD; (101.3 mg/cm3), which was equivalent to only 39.72% of the non-SCI BMD value.
For the soleus training cohort, trained limb BMD was higher than untrained limb BMD at all measurement points (Figure 2 and 3). The mean absolute between-limb difference for soleus trainers was 42.5 mg/cm3 (range: 11.4 to 62.8 mg/cm3), a 23.77% difference over all measurement times. As depicted in Figure 4, the soleus cohort between-limb training effect intensified with continued training history. At the most recent assessment, average trained limb BMD was 27.5% higher than untrained limb BMD for these subjects (Figure 3). This between-limb BMD difference was significantly higher for the soleus cohort than for the SCI subjects who did no soleus training (p=0.00013). Thus the between limb difference for the soleus cohort exceeded what would normally be anticipated in a sample of subjects with SCI, supporting a robust training effect upon tibia BMD.
The soleus training effect was even more pronounced when only the central 45 percentage of the trabecular envelope was considered (Figure 4). The soleus cohort trained limb average BMD exceeded untrained limb BMD by 58.2 (7.6) mg/cm3, equivalent to a 35.4% difference. As before, the training effect of soleus loading intensified with training history, reaching a 40.4% between-limb difference in BMD at the most recent measurement.
Asymmetry of regional BMD
Trabecular BMD at the anterior tibia region for the non-SCI subjects averaged 247.6 (9.17) mg/cm3 (Figure 5). Data values for subjects scanned within the first year after SCI clustered around this value (range 194.3 (SCI 7) to 287.6 (SCI 8)). Subjects scanned longitudinally showed a gradual decline in BMD. BMD for subjects with chronic SCI was 102.3 mg/cm3, only 41.3% of the non-SCI BMD value (p<0.0001) (Table 2).
Table 2.
Non-SCI | Chronic SCI | Trained | Untrained | |
---|---|---|---|---|
Anterior | 247.6† | 102.3* | 143.0* | 129.0* |
Posterior | 272.7†§ | 98.5* | 203.9*†§ | 134.1*§ |
Values are mean BMD in mg/cm3 for each cohort/region. Trained and Untrained refer to the trained and untrained limbs of the soleus training cohort at the final longitudinal measurement point. Statistical significance is set at p=0.05.
Significantly lower than non-SCI.
Significantly higher than chronic SCI.
Significantly higher than anterior region.
Trabecular BMD at the posterior tibia region for the non-SCI subjects averaged 272.7 (8.74) mg/cm3 (Figure 6). Data values for subjects scanned within the first year after SCI clustered around this value (range 181.6 (SCI 3) to 303.8 (SCI 8)). Subjects scanned longitudinally showed a gradual decline in BMD. BMD for subjects with chronic SCI was 98.5 mg/cm3, only 36.1% of the non-SCI BMD value (p<0.0001) (Table 2).
For the non-SCI subjects and soleus training subjects, BMD of the posterior tibia region exceeded anterior region BMD (p<0.05) (Table 2). No statistically significant differences emerged between anterior and posterior BMD for the SCI subjects who did no training or for the chronic SCI subjects.
Asymmetry of training effect
Soleus training minimally preserved BMD in the anterior region of the tibia.
In most cases, the trained limb BMD exceeded untrained limb BMD, but the between-limb differences were small (−4.9 to 35.5 mg/cm3, mean (SE)=19.2 (3.0)) (Figure 5). At the most recent assessment, trained limb anterior BMD differed neither from untrained limb anterior BMD nor from chronic SCI anterior BMD (p>0.05) (Table 2). Likewise, untrained limb anterior BMD at the final assessment did not differ significantly from the chronic SCI value (p>0.05) (Table 2).
In contrast, soleus training had a preservative effect upon BMD of the posterior region of the tibia (Figure 6). Absolute between-limb posterior BMD differences were large (22.8 to 114.1 mg/cm3, mean (SE)=76.1 (7.2 mg/cm3)), a nearly four-fold greater trained-versus-untrained difference than was observed in the anterior tibia region (Figure 5). At the most recent assessment, trained limb posterior BMD was significantly higher than untrained limb posterior BMD (p=0.0439), and more than double the chronic SCI value (64% difference, p=0.002) (Table 2). At this same measurement time, untrained limb posterior BMD did not significantly differ from the chronic SCI value (p>0.05). Non-SCI posterior tibia BMD (272.7 (8.74) mg/cm3) exceeded the soleus group's final trained limb posterior BMD value by just 21.6%. Subject SCI 2 demonstrated particularly noteworthy preservation of posterior tibia BMD. At 3.8 years post-SCI, this subject's posterior BMD value (264.4 mg/cm3) remained within the standard error for the non-SCI group posterior region BMD.
The asymmetrical training effect of long-term soleus electrical activation can best be observed by comparing adaptations in the anterior versus posterior compartments of individual limbs. Figure 7 shows the percentage absolute difference in posterior versus anterior BMD for the various subject cohorts at all measurement points. Right and left limb data are pooled for non-SCI, chronic SCI, and SCI non-trainer subject groups. In all limbs, except those which engaged in soleus training, BMD was fairly uniform across the tibia cross-section (posterior BMD was 8.9% to 14.1% higher than anterior BMD). In contrast, the trained limbs demonstrated 41.9 (4.6) percentage higher BMD in the posterior than the anterior tibia region. This finding suggests that mechanical factors, associated with stress exerted by the soleus muscle, were the major factor contributing to bone preservation after long-term SCI.
Discussion
In our previous report of soleus muscle stimulation training, BMD was 31% higher in the trained tibia after ∼2.5 years of training12. At the end of that study, three subjects elected to continue the soleus training protocol. For all of these subjects, the bone-sparing effect of soleus loading persisted over two additional years of training, even to 6 years post-injury. We now observe what appears to be a more robust bone-sparing effect in the posterior aspect of the tibia. This recent observation lends support to the theory that the loss of mechanical load predominates as the mechanism contributing to bone loss after SCI. This finding has important implications for understanding the physiology of bone adaptation to loading in humans with paralysis. It may also bear upon the future translation of electrically-induced loading to maintain skeletal integrity in preparation for a cure after SCI. We determined that the asymmetric bone-sparing effect of soleus loading is considerable and that BMD of the posterior tibia region remained high in subjects who were 4 to 6 years post-SCI (Figure 2).
Longitudinal BMD decline
BMD values for the non-SCI cohort (∼255 mg/cm3) were commensurate with previous reports for this anatomic location23,27. As would be expected, initial BMD for subjects with subacute SCI differed little from this non-SCI value and appeared to be influenced by subject age (the oldest subacute SCI subject, SCI 7, had considerably lower BMD than the subacute SCI subjects in their 20s). BMD declined precipitously for subacute SCI subjects who were followed longitudinally. In the most extreme case, BMD for subject SCI 5 declined by 35% between 0.2 and 1.2 years post-SCI.
The age of SCI onset for the soleus training cohort ranged from 21 to 29 years (Table 1). It is thus reasonable to assume that their own subacute-phase BMD values would have fit within the range of values demonstrated by this study's subacute SCI subjects. The untrained limbs of the soleus cohort can offer a projection of the BMD decline the non-training SCI subjects will undergo in the future, culminating in a steady-state value between 3 and 8 years post-SCI29. The untrained limbs of subjects SCI 1 and SCI 3 (starting at 2.4 and 4.3 years post-SCI, respectively) appear to have reached a steady state value, commensurate with the steady state BMD timeline from previous reports29.
We have assumed that the BMD values demonstrated by our subjects with chronic SCI are representative of the post-SCI steady state. Without longitudinal data for these subjects, this assumption requires additional support. To explore this further, we peeled the tibia image down to the central 45%, a method used in a previous report that explored the timing of the BMD steady state phase29. Mean peeled BMD for the chronic SCI subjects in the present study was 68.83 mg/cm3 (Figure 4), a close match to previously published steady state values (66.1 mg/cm3, 29). It is therefore reasonable to assume that BMD of the SCI non-trainer subjects and the untrained limbs of soleus training subjects will eventually resemble the chronic SCI values.
Attenuation of BMD decline
Soleus training attenuated the longitudinal decline of BMD after SCI. After 4.5 to 6 years of training, trained limb BMD exceeded the untrained limb BMD (within-subject controls) by 27.5%, a similar training effect magnitude as observed in our previous report12. An additional two years of training maintained the relative difference in BMD between trained and untrained limbs. The absolute BMD values for both limbs, however, continued to decline. While soleus training could therefore attenuate the normally occurring BMD decline after SCI, it did not arrest the decline entirely.
Our preferred manner of analyzing the pQCT images is somewhat conservative; we sample BMD from the entire trabecular envelope. However, we believe that bone loss after SCI may be most severe at the center of the tibia cross-section. At the 4% site, the marrow cavity is just beginning to form in the center of the tibia (Figure 1). When routine strains fall below a hypothetical “minimum effective strain for remodeling” (MESr)30, bone mineral is removed primarily from bone surfaces that are in contact with marrow31. To examine BMD loss in this potentially vulnerable central region, we peeled the pQCT image down to 45% of the original area. Between-limb differences in the training cohort rose to 40.4% when analyzed in this manner. Thus in the region of the tibia cross-section presumed to be the most susceptible to disuse remodeling, the bone-sparing effect of the loading protocol was most pronounced.
Bone adaptation can occur in two ways; via remodeling, as described above, and via modeling, which occurs primarily at the periosteal and endosteal surfaces of the diaphysis. Modeling occurs to a lesser degree on the surface of trabeculae in epiphyses, such as the site sampled in this report. Though modeling shares the same basic cellular processes with remodeling (osteoclast and osteoblast activity), it appears to be triggered by more vigorous loads30 and typically yields thickening of the cortical shell via deposition of bone mineral in “drifts”32-36. Although we used a biomechanical model to estimate compressive loads in the training protocol12, we can not non-invasively measure the strains engendered by soleus contraction. We therefore do not know whether soleus loads surpassed the hypothetical threshold for remodeling (in which case routine loads merely “staved off” bone loss) or whether soleus loads were sufficiently vigorous to surpass the hypothetical threshold for modeling (in which case true bone anabolism would occur). Because remodeling is more typical at epiphyseal sites, and because the magnitude of load (1.5 times body weight) is well below loads generated through vigorous volitional activity, we speculate that remodeling was the primary cellular process underlying the observed bone-sparing effect.
Asymmetry of BMD decline
Soleus training longitudinally preserved BMD in the posterior region but not the anterior region of the distal tibia. BMD of the posterior region of the tibia was significantly higher than anterior BMD for the non-SCI subjects (p=0.014). This relationship did not persist for SCI subjects who did not engage in soleus training (p>0.05). The percentage difference in anterior and posterior BMD was higher for the soleus training limbs than for any other subject cohort (Figure 7).
Biomechanics of soleus loads
In designing the soleus training protocol, we aimed to deliver a compressive load of “physiologic” magnitude to the tibia. To ensure uniform administration of load between subjects and over time, we used isometric contractions with the ankle constrained in a neutral joint range. Thus, although the magnitude of compressive load was in the range of physiologic values, the orientation of load directions was highly artificial (i.e., loads followed a single vector and did not oscillate through the bone's cross-section, as would happen with free joint movement). The load created by soleus contraction triggered a bone-sparing effect only at the posterior tibia, suggesting: 1) compressive loads were minimal through the anterior portion of the tibia, and/or; 2) bending moments at the posterior tibia were an important osteogenic stimulus. It may be the case that soleus forces placed the posterior aspect of the tibia in compression and the anterior aspect in tension. Although this effect would seem to be more typical for the tibia diaphyseal region, it is possible that the distal epiphysis was exposed to loads of this type. Previous animal studies of compressive loading have used bone pins37,38 or external loading devices39-42 that exerted more symmetric loading of bone as compared to this study. No previous animal studies have examined the bone adaptations to muscle loading in a single vector. Only a handful of studies have examined training effects to bending forces, largely because training with three- or four-point bending elicits undesirable periosteal woven bone formation43,44. In sheep radii and ulnae, bending forces enhanced bone remodeling but histological adaptations were similar regardless of whether bone was exposed to tension or to compression45. Similarly, mouse tibiae exposed to mediallateral bending showed increased bone formation along both the medial and lateral endocortical surfaces (loaded in tension and compression, respectively)44. It appears that the asymmetric adaptations observed in the present study are a unique finding in the literature.
Multifactorial pathology of post-SCI bone loss
Opinions vary widely as to the most culpable factor behind post-SCI bone loss. Some theorists offer a predominantly neurovascular explanation15,46, a position supported by new evidence for the role of neuropeptides and central neural centers in bone homeostasis16-21. The limited effectiveness of some post-SCI bone-protective interventions3-10 prompted one group to recently state that “Since treatment interventions based on physical activity… have no sufficient positive effects, pharmacological therapy seems to be necessary”11. Pharmacologic interventions may well be integral to future bone-protective therapeutic regimens. The present study, however, lends support to the viewpoint that mechanical loading does indeed have much to offer. Perhaps mechanical load triggers bone preservation directly (by regulating osteoblast and osteoclast activity) or perhaps it triggers secondary neural or vascular mechanisms that in turn foster bone adaptation. This issue is fertile ground and the focus of future investigations within our laboratory. In the case of the present study, however, we suspect that the neurovascular milieu of the anterior and posterior halves of the tibia should have been quite similar. (Marrow cavity pressure, for instance, would not be expected to differ between these regions.) In our opinion, the asymmetric nature of tibia adaptations in the present study suggests that soleus mechanical load was the salient stimulus leading to preservation of posterior tibia BMD. Evidence is accumulating that an appropriate, timely dose of mechanical load may be a powerful tool for prevention of post-SCI bone loss.
Translational implications
The study of bone adaptations to muscle loading in the paralyzed human model is sufficiently novel that translational applications remain nascent. This paper and other previous works12,47 demonstrate the efficacy of muscle loading for attenuating bone decline after SCI. While this strategy appears promising for individuals with recent SCI, individuals with chronic SCI have not demonstrated similar responsiveness48. A window of opportunity appears to exist after SCI for interventions that aim to preserve bone integrity49. This concept is most amply illustrated by subject SCI 2, who showed the most robust bone-sparing response of the three soleus training subjects. This subject began soleus training only 7 weeks post-SCI, the soonest of any soleus training subject. We have previously suggested that the rapid commencement of soleus loading contributed to this subject's compelling training effect13.
This report demonstrates that clinical application of electrical muscle stimulation protocols may not be straightforward. If the asymmetric response of bone is typical in other muscle-bone systems, such as at the knee or hip, then future clinical applications may need to load the bone cross-section through multiple vectors. However, even asymmetric maintenance of BMD may be helpful to reduce the risk of fracture, a significant secondary complication after chronic SCI. As neuroscientists advance the possibility for a cure after SCI, it will clearly involve a lengthy rehabilitation process. Accordingly, a non-invasive therapeutic strategy that will sustain skeletal integrity will continue to be an important component of long-term physical restoration programs for those with SCI. The financial feasibility of long-term daily electrical stimulation training is certainly an issue of concern. Administration of the lion's share of the training dose at home, rather than in the clinic, would greatly minimize the cost and subject burden of such an intervention. Adequate surveillance of subject compliance with dose recommendations will be a critical factor for successful interpretation of potential loading regimens13.
Summary and conclusions
Long-term training with soleus electrical stimulation preserved BMD in individuals with SCI. Depending on the analysis procedures employed, trabecular BMD was between 27.5% and 40.5% higher in the trained limb than in the untrained limb after 4.5-6 years of training. The bone-sparing effect of soleus stimulation occurred almost entirely in the posterior region of the tibia. In trained limbs, the anterior tibia region BMD did not differ significantly from chronic SCI values, while posterior tibia BMD exceeded chronic SCI values by 64%. This asymmetric adaptation to loading likely reflects the biomechanical stress imposed by isometric soleus loading. Future studies should investigate methods to offer similar bone-sparing effects to multiple skeletal regions across the entire cross-section of bones at risk of fracture after SCI.
Acknowledgements
The authors thank Deanna Frei, RTR, CT, April Miller, RTR, and Daniel Schiferl for their technical expertise during pQCT measurements. This work was supported by an award from the National Institutes of Health (R01-NR 010285-05) and by the Christopher Reeve Paralysis Foundation.
Footnotes
The authors have no conflict of interest.
References
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