Valentina Azzollini
Stefania Dalise
Carmelo Chisari- 1Department of Translational Research and New Technologies in Medicine and Surgery, DS Neurorehabilitation, University of Pisa, Pisa, Italy
- 2Department of Neurorehabilitation, Pisa University Hospital - Azienda Ospedaliera Universitaria Pisana (AOUP), Pisa, Italy
Long-term disability caused by stroke is largely due to an impairment of motor function. The functional consequences after stroke are caused by central nervous system adaptations and modifications, but also by the peripheral skeletal muscle changes. The nervous and muscular systems work together and are strictly dependent in their structure and function, through afferent and efferent communication pathways with a reciprocal “modulation.” Knowing how altered interaction between these two important systems can modify the intrinsic properties of muscle tissue is essential in finding the best rehabilitative therapeutic approach. Traditionally, the rehabilitation effort has been oriented toward the treatment of the central nervous system damage with a central approach, overlooking the muscle tissue. However, to ensure greater effectiveness of treatments, it should not be forgotten that muscle can also be a target in the rehabilitation process. The purpose of this review is to summarize the current knowledge about the skeletal muscle changes, directly or indirectly induced by stroke, focusing on the changes induced by the treatments most applied in stroke rehabilitation. The results of this review highlight changes in several muscular features, suggesting specific treatments based on biological knowledge; on the other hand, in standard rehabilitative practice, a realist muscle function evaluation is rarely carried out. We provide some recommendations to improve a comprehensive muscle investigation, a specific rehabilitation approach, and to draw research protocol to solve the remaining conflicting data. Even if a complete multilevel muscular evaluation requires a great effort by a multidisciplinary team to optimize motor recovery after stroke.
Introduction
Stroke is the second leading cause of death worldwide (1), with chronic disability remaining in up to 50% of survivors (2). The improved acute care and the advances in early drug interventions after stroke, as the use of thrombolytic factors, have significantly increased the number of stroke survivors with a reduction of mortality (3). However, stroke survivors must cope with the long-term effects of stroke, suffering from persistent functional limitations that reduce autonomy in activities of daily life. Long-term disability caused by stroke is largely due to motor function impairment, and it is determined by primary and secondary changes to the acute event. The impairments can manifest progressively in the long-term, causing further modifications and adaptations: the lesions of descending neural pathways lead to altered neuromotor control and functional and structural changes of muscle tissue (4). Common symptoms in patients with stroke are weakness, hypotrophy, fatigability, and altered motor control, resulting from the combination of denervation, disuse, remodeling, and spasticity (5). Traditionally, the rehabilitation effort has been oriented toward the treatment of the central nervous system (CNS) damage with a central approach, which exploits the plastic capacity of the neural cells to recover the best motor control. In this paradigm, muscle tissue is often overlooked (6). In our opinion, to ensure greater effectiveness of rehabilitation, new protocol approaches are needed, focused on muscle modifications over time. The knowledge of the cascade of transformation at different scales—genetic, molecular, histological, biomechanical, morphological, neurophysiological, and clinical changes—could help to understand the temporality of the occurrence of these changes and prevent them. Here, we summarized the current knowledge on skeletal muscle changes and primary and secondary changes induced by stroke, looking for the actual literature evidence on specific rehabilitative treatments targeting the muscle. Our idea is that only a “multi-target” rehabilitation treatment, which considers both the periphery and the CNS, can improve outcomes for stroke survivors until the best possible recovery. Based on this aim, we analyzed the current knowledge on modification of muscle in stroke, considering three fundamental aspects: morphology, metabolism, and electro-mechanical properties. For each of them, we resumed the principal treatment proposals available in the literature.
Morphological Changes
Morphological changes may occur in parallel at a different level, including intrinsic fiber muscle phenomena (loss of muscle mass, muscle thickness, and decrease in the physiological cross-section area), but also at a more general tissue rearrangement, referring to sarcomere shortening and histological changes in the extracellular matrix. These two phenomena may mutually influence each other's and be hardly individualized, but for a clearer and more identifiable discussion they will be treated differently in this review. In the first section, we described the “stroke-induced sarcopenia,” referring to muscle atrophy as a specific intrinsic fiber muscle phenomenon, and in the second section, we refer to “stiffness” as general tissue rearrangement. Furthermore, it should be mentioned that in several neurological disorders, characterized by spastic paresis, a dedicated term is used to qualify the specific muscle contracture (spastic myopathy), characterized by both increased muscle tension and stretch-sensitive evolution (7).
Stroke-Induced Sarcopenia
In healthy people, muscle tissue is gradually lost during aging, resulting in a decrease in mass and strength, a condition described as sarcopenia (8). In specific pathological conditions, especially in those that may invoke inflammatory processes, disease-related immobility or malnutrition, sarcopenia can occur as secondary, defining a “specific sarcopenia” (6). Recently, the muscle atrophy, consequent to the stroke has been defined as a new condition called “stroke-induced sarcopenia” or “stroke-related sarcopenia”; it has also been associated with worse clinical outcomes and physical dysfunction (6, 9). Furthermore, the impaired function predisposes stroke survivors to inactivity that might contribute to deconditioning, fatigue, and further functional loss (10, 11). Stroke-induced sarcopenia arises from the combination of multiple mechanisms, including immobilization and dysfunctional atrophy, impaired feeding, inflammation, sympathetic overactivation, and denervation (6). The prevalence of stroke-related sarcopenia is higher than the one of general population, matching age, gender, and race of healthy individuals, indicating a specific pathway (12). Furthermore, this prevalence during the first month is 50% and it is ~34% after 6 months (13), suggesting that the adaptive responses in muscle tissue may be most pronounced early after stroke (5). Moreover, the loss of muscle mass after stroke is commonly accompanied by fat deposition, often associated with a common stroke risk factor such as obesity, worsening the outcome (14). These early changes in muscle, such as loss of muscle mass, reduced fiber cross-sectional area (CSA), and increased intramuscular fat deposition, occur between 3 weeks and 6 months after stroke in both paretic and non-paretic limbs (15–18). In a recent study it was shown that the presence of sarcopenia, associated or not with obesity (sarcopenic-obesity), affects the improvement of activities of daily living (ADL), dysphagia, and discharge rates to home, so the researchers stated that the treatment of stroke-induced sarcopenia in a rehabilitative setting is crucial (19). The same researchers also demonstrated that skeletal muscle mass gain at the end of rehabilitative treatment is significantly associated with improved functional outcomes in patients with sarcopenia after stroke (20).
Some researchers suggested that sarcopenia could be due to the activation of catabolic pathways, especially the ubiquitin–proteasome system (UPS), autophagy, and apoptosis (21, 22). These mechanisms seem to be in part due to the downregulation of the gene of Sirtuin1 (SIRT1), a key regulatory factor of the energetic status of the cell, counteracting metabolic and age-related disorders. Reduced expression of the SIRT1 gene and reduced SIRT1 activity, resulting in skeletal muscle atrophy, have been demonstrated in post-stroke animal models; similarly, attenuation of muscle atrophy was found when SIRT1 is overexpressed (23). Moreover, it was demonstrated that the expression levels of myostatin mRNA, which downregulate the skeletal muscle growth, are 40% higher in the paretic than non-paretic muscles in stroke survivors (24). This could be due to intramuscular fat accumulation, consequent to stroke, that may cause insulin resistance, and the subsequent hyperinsulinemia has been shown to increase serum myostatin (14). The knowledge of the molecular mechanisms of stroke-induced sarcopenia allows to identify specific therapeutic approaches. In fact, in a pre-clinical study, the use of resveratrol (RESV), an exercise mimetic drug, during the early acute phase of stroke, limited muscular atrophy, through the activation of SIRT1, and normalized the hypertrophy of slow-twitch muscle fibers (I, IIa), suggesting that RESV may improve oxidative metabolism in stroke-affected muscles (25). In humans, it is well-known that exercise is the most effective method for sarcopenia treatment (6). Indeed, a recent study highlighted that resistive training for 12-weeks (3 times/week) could reduce the myostatin mRNA expression levels and stimulates significant muscle hypertrophy and intramuscular fat reductions (24). Furthermore, it is known that a stroke patient could suffer from malnutrition, and its early recognition or misdiagnosis significantly affects the outcomes; in fact, malnutrition aggravates sarcopenia because muscle and adipose tissue wasting occurs (26, 27). In this regard, it becomes essential to evaluate the nutritional status and provide nutritional management in association with specific exercise interventions, to ensure the best result; therefore, as described in the literature, the combination of exercise and nutritional therapy is the most appropriate choice to obtain a positive effect on the increase of skeletal muscle mass (20, 26, 27).
Finally, in a very recent study, it was highlighted that muscles of the trunk undergo atrophy in a later post-stroke phase, causing a worsening of the balance (28); this suggests the need to accurately plan both the type of rehabilitation and the timing: patients should be treated pointing on different aims at different stroke phases, for example, in addition to continuous motor control training over time, strengthening and endurance training of trunk muscles could be helpful during the chronic phase.
Stiffness
Paresis induced by stroke leads to a reduced active voluntary movement and a reduced joint range of motion (ROM), often associated with an active or passive mobilization hyper-resistance or stiffness.
Stiffness can be due to “neural” or “non-neural” phenomena, such as spasticity, spastic dystonia, or respectively, muscle contractures and soft-tissue fibrosis (29).
Consequently, long-term secondary complications, such as soft tissue contractures, pain, pressure sores, decreased ADL, social isolation resulting in decreased quality of life, can occur (30, 31). These phenomena seem to be linked to structural changes of intrinsic muscle properties over time, with an increase of intramuscular connective tissue and fat content (32). It has been shown that these changes depend on the deposition of hyaluronan in the extra-cellular matrix (ECM) (33), intramuscular fat (34), and lead to increased viscosity and could immobilize muscle in the shortened position (29). Indeed, fibrosis and abnormal accumulation of materials in the ECM leads to an increased collagen content and an altered orientation of collagen that likely contributes to a greater transverse tensile stiffness against radial expansion and fascicle shortening. There are several approaches to stiffness management (35). An early passive motion and stretching are the most used techniques to prevent and treat muscle shortening. In particular, it was demonstrated that fixed muscle length induces muscle atrophy, by activation of specific gene expression (36). However, a recent Cochrane systematic review concluded that stretching procedures performed for 3 months or less do not improve joint mobility (37), even if in a recent study 1 year of stretching was found to be effective in counteracting muscle architecture modification (fascicle length, thickness) among plantar flexors, linked with a clinical meaningful gain in ankle dorsiflexion angle (38). This suggests that, in clinical chronic conditions, stretch interventions may need to be continued for longer than just a few weeks (29).
Stiffness in the muscle will generate a constant stimulation of its spindles, triggering the activation of Ia fibers, further tension, failure to release contraction, and a muscle change as serious as the hyperactivity severity (spasticity) (39). When stiffness is linked to spasticity or spastic dystonia the more effective and safe, recommended treatment in a rehabilitation setting is the inoculation of Botulinum Toxin Type A (BoNT-A) (40). BoNT-A blocks the release of acetylcholine at the neuromuscular junction, producing a chemical denervation, with the aim of reducing excessive muscle activity without producing significant functional weakness (41). Unfortunately, the effect of BoNT-A serial injections in muscle, largely used to treat spasticity and spastic dystonia in stroke, is poorly investigated, although in an animal model research, a noxious BoNTA-related effect on muscle has been suggested (42); and in humans, the histological recovery of muscle seems to remain incomplete after the BonTA injection (43). To avoid this potentially damaging effect, a tempestive treatment, integrated with early stretching treatment, could be a proper strategy. Indeed, even if BoNT-A injections are the gold standard in patients with spasticity in the chronic phase of stroke (44), recent studies showed that BoNT-A treatment performed within 3 months since stroke onset in naïve patients with spasticity can achieve the maximum effect on muscle tone, allowing better control of spasticity in chronic phase and a reduction of serial injections (45–47). Moreover, a careful systematic follow-up of treated patients is necessary (48).
Resuming, stiffness is a complex phenomenon consisting of the “reflex-” and “nonreflex-mediated” resistance to passive movement, so each of these needs to be quantified uniquely and related with its corresponding clinical facets. An appropriate treatment of stiffness should consider both aspects, for example, different adjuvant rehabilitation treatments could be useful to reduce soft tissue contracture (“nonreflex-mediated” resistance, rheological aspect), and combined with BoNT-A injection could boost its effect on “reflex-mediated resistance” (49); in fact, allowing a decrease of muscle overactivity may not be sufficient to obtain morphological changes such as an increase in sarcomeres or fascicle length. In addition, an adequate and time-dependent treatment could be designed, also regarding any unresponsive patients in which alternative treatments (e.g., surgical therapy) should be considered.
Muscular Metabolism Changes
Stroke patients exhibit impaired metabolism compared to healthy subjects, with increased tissue lactate and glycerol production, delayed and impaired glucose utilization, and slightly increased energy expenditure (4). This contrasts with the “normal” age-related sarcopenia process, where there is a shift from fast-twitch type IIa/b to slow-twitch type I fibers, which is mainly attributed to the disuse of fast fibers (50, 51). The paretic muscle of chronic stroke patients shows a smaller overall fiber cross-sectional area (CSA) with a shift toward a low oxidative type IIX fiber content and a reduced type I and type IIA fiber content (52). As a consequence, muscle resistance in affected limbs is likely decreased, because type IIX fibers are more prone to fatigue, leading to impaired muscle performance (50). Acute stroke patients rely on carbohydrate utilization during prolonged walking, while healthy individuals rely mostly on fatty acids oxidation; this carbohydrate utilization likely indicates preferentially anaerobic metabolism and potentially limits the ability to walk for a long time (53). Conversely, in the chronic phase, other researchers did not find differences in skeletal muscle tissue substrate metabolism between paretic and not paretic leg, even if the energy consumption seems to be higher in the not paretic one; in these studies the increased glycolytic activity and reduced lipolytic activity in post-stroke skeletal muscle suggest a bilateral shift in fiber type (54, 55). However, it is noteworthy that in some specific conditions, such as sarcopenic obesity post-stroke (mentioned above), fast-type muscle fibers switch to slow-type muscle fibers resulting in decreased muscle mass and strength, as in age-related sarcopenia (14). Although these data seem to be in contrast, they actually highlight the importance of careful characterization of a patient's muscular metabolism through a specific evaluation over time. In a rehabilitative view, focusing on muscles could identify ways to reverse stroke-induced metabolic alteration; indeed, different therapeutic physical interventions (i.e., aerobic exercise or neuromuscular electrical stimulation) could exert different biological effects and can improve physical performance (56). High-intensity training, aimed to increase type IIA fiber percentages, might contribute to muscle power and endurance, crucial for functional capacity (52, 57). Aerobic exercise normalized the CSA of type I and IIb muscle fiber and increased peroxisome proliferator-activated receptor gamma coactivator 1-α (PGC1α) protein content, which is indicative of increased aerobic capacity (25). To date, these contradictions are not completely clarified and become more evident in the analysis of motor unit activity changes, as discussed in the Electromechanical changes section. Research efforts should be aimed at resolving these apparent contradictions, correlating them with the time course of the chronicity of stroke, and the first step could be to reposition the main movement effector, the muscle, in the crosshairs.
Electromechanical Changes
Impaired voluntary muscle motion is also caused by a change in the motor unit (MU) activation. In the first phase post-stroke (in 4 h), there is an initial reduction of MU number with a larger amplitude of the outlier surface of MU action potential (MUAP) and a decrease in compound muscle action potential (CMAP) amplitude, that could continue for a long time (58–60). It may be related to the trans-synaptic inhibition of the spinal alpha-motor neurons, as a result of upper motor neuron involvement (58, 61). Despite this, in the chronic phase, it was reported that the number of MUs increased, particularly in patients with mild stroke (62); in the researchers opinion, this suggests that the initial decrease of MUs is due to functional inactivity and, therefore, its recovery is realistic over time (62, 63). Regarding the larger MUAPs amplitude described in chronic stroke patients, it could indicate enlarged MU, possibly due to reinnervation (collateral sprouting) (64). Furthermore, normal recruitment order, based on the size of the MUs, is also altered in the muscles of the paretic limb: the recruitment of larger MUs at higher muscle contraction levels is less evident in the paretic muscles than in the contralateral ones. Additionally, the threshold strength range for MU recruitment has been compressed to a lower level on the affected side, indicating a different type of MU fiber (65), with a hypertrophy of slow-twitch skeletal muscle fibers and an atrophy of fast-twitch fibers (66). It is confirmed by the study of muscle fiber conduction velocity (MFCV). The MFCV is inferior in the paretic than in the non-paretic muscles of stroke patients (67). Similarly, this might indicate an increase in the proportion of type I fibers compared to type II (68). The same pathophysiology observed in the paretic limb may be present in the non-paretic limb, although to a lesser degree, due to the presence of the ipsilateral corticospinal tract in humans; indeed, in some individuals, up to 30% of corticospinal axons may descend in the ipsilateral ventral tract (58, 69). Nevertheless, the reduction in MUs' number correlates with the reduced muscle mass in paretic limbs, but not in the non-paretic one, suggesting other factors for the reduced muscle mass in these patients as described above (58). Using conventional surface EMG, different parameters (such as power spectrum, spike distribution, clustering index) were described to be different in hemiparetic muscle and healthy ones, and for some of these different hypotheses were suggested, including central and peripheral process (increased motor unit synchronization, impairments in motor unit control properties, loss of large motor units, and atrophy of muscle fibers) (70–72).
Other information could be provided from the analysis of electromechanical delay (EMD), which represents the time elapsed from the onset of active state in skeletal muscle (onset of signal to surface electromyogram—sEMG), and the onset of voluntary strength development. Indeed, a recent study found that the EMD is longer in the paretic than in the non-paretic triceps surae muscles. The longer EMD on the paretic side may be associated with the reduced torque-generating capacity, and it could be linked to the modified intrinsic properties of muscle tissues. The elongation of the EMD is likely attributable to electrochemical processes (i.e., altered ion conductance at neuromuscular junction level, alterations in the excitation–contraction coupling mechanism, disturbed propagation of MUAPs), but also, with a predominant role, to mechanical processes. In particular, the longer EMD on the paretic side may potentially support the hypothesis of a fast-to-slow fiber shift. Moreover, longer EMD is also associated with higher shear wave speed, an elastography ultrasound biomarker of muscle stiffness; so, a stiffer muscle may potentially lead to longer EMD, since a greater muscle activation may be needed to deform muscle shape and to shorten fascicles to generate an adequate strength in a stiffer paretic muscle (73). While the biopsy and metabolism studies results suggest a prevalence of type 2 fiber in stroke muscles, the increased activation of low-threshold MUs and the EMD elongation indicate a relative increase in type 1 MU. These discrepancies could be explained by several hypotheses. First, often different studies focused their attention on different muscles (large muscles of limbs vs. muscles of the hand); second, sometimes the samples are very heterogeneous with patients at different post-stroke times. So, it is possible that the two alterations coexist and that the underlying mechanisms occur in different post-stroke phases. It might be interesting to draw a longitudinal study by monitoring muscle changes with different methods (metabolic and electrophysiological) to better understand how and when they occur, allowing to manage a specific and timely rehabilitation intervention aimed at recovery.
From a rehabilitative point of view, there is a positive correlation between the root mean square of MUAP and Fugl–Meyer score, which indicates a relation between MU properties and clinically assessed motor recovery (64). In this sense, the altered MU activation might be a target of rehabilitative treatment: it is shown that a rehabilitative treatment provided by robotic-assisted locomotion system (Lokomat) induces a significant increase in firing rate, not accompanied by an increase in strength; this could suggest an effect of training on motoneuronal firing rate that thus contributes to muscle motor control (74, 75).
Limitations
For the preparation of this review, we did not apply the methodology of a systematic review with subsequent limitations. Systematically traceable search criteria are not represented and PRISMA criteria have not been considered. Furthermore, we focused on the muscle properties trying to separate this from motor control disorder, so some factors of muscle weakness (i.e., recruitment and firing rate) are only partially mentioned from a rehabilitative point of view. Despite the growing number of publications, the data still show some conflicting findings and methodological limitations, probably due to the lack of patient stratification based on correct functional assessment.
Conclusions and Recommendations
From this review, it is clear that changed descending neural output, caused by stroke, leads to functional and structural changes in skeletal muscle. The main muscle changes are morphological modifications, alteration in muscular metabolism, and electromechanical features. For each of these aspects, specific treatment approaches (medical or rehabilitative) are present in several preclinical studies, showing effectiveness in improving motor function and ability to modify the muscular features recovering the “normal.” Despite this, the same approach in clinical studies is not equally carried out. Indeed, also in specific rehabilitative settings, a realistic evaluation of muscle function is not performed yet: often the only muscle evaluation is limited to subjective functional assessment measure without any attention to the morphological, metabolic, and electro-mechanical properties of muscle. In our opinion, the focus onto the muscle means to consider that the impaired motor function in stroke is the result of both reduced central motor control activity and muscle modifications. In this perspective, for optimal stroke management, it would be necessary to investigate the two components simultaneously, investigating the alterations of the descending motor pathways using techniques such as transcranial magnetic stimulation and motor-evoked potentials, and verifying the peripheral muscle modifications, not only with a clinical assessment, but also with an instrumental evaluation through ultrasound techniques, bioimpedance analysis, or more sophisticated metabolic and gene analyses. A second aim of our review was to focus on the need for specific muscular rehabilitation protocol in clinical practice, suggesting an integrated approach for the best motor recovery. To achieve this ideal management, research must aim to solving the contradictions still present in skeletal muscle modifications, by better investigating the muscle during the different phases of stroke, from the onset to the chronic rehabilitation phase. Therefore, it would be appropriate to design a specific longitudinal study in which muscle changes are investigated using different methods to define the time course of the specific variations and to manage a specific and timely rehabilitation intervention aimed at recovery. In particular, it must be clear that at different stages it would be necessary to modulate and change the type and the aim of the treatment. This ambitious goal must be positioned as an outcome of a multidisciplinary intervention, in which several experts work together to integrate the bottom-up with the classic top-down paradigm with a “multi-target” rehabilitation approach.
Based on the current literature available, we can make the following recommendations for optimal stroke management:
- Muscle assessment in stroke patient should be performed together with CNS evaluation, to address a specific patient-tailored rehabilitation.
- Muscle assessment should be conducted through a multi-level screening:
• Morphological evaluation: ultrasound techniques, bioimpedance analysis, elastography, or magnetic resonance.
• Metabolic change should be directly investigated through immunohistochemical analysis or indirectly by dosing metabolic substrates.
• Electromechanical changes (EMG and sEMG).
- Nutritional screening might be performed to assess energy requirements and provide adequate integration for muscle mass gain.
- Designs of specific treatment protocols based on the modifications highlighted (aerobic training, resistance training, stretching, or medical therapy for stiffness).
- The treatment should be time-dependently designed.
- Verify treatment effect at muscle level over time (longitudinal study).
- Multidisciplinary approach is strongly recommended.
Author Contributions
VA and SD: conceptualization, writing, draft preparation, and writing the original article. VA wrote the manuscript with support from SD. SD and CC: provided critical feedback and helped shape the manuscript. All authors contributed to the final version of the manuscript and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. World Health Organization. World Health Statistics 2021: Monitoring Health for the SDGs, Sustainable Development Goals. Geneva: World Health Organization (2021). Available online at: https://apps.who.int/iris/handle/10665/342703 (accessed Sep 26, 2021).
2. Donkor ES. Stroke in the 21st century: a snapshot of the burden, epidemiology, and quality of life. Stroke Res Treat. (2018) 2018:3238165. doi: 10.1155/2018/3238165
3. Seminog OO, Scarborough P, Wright FL, Rayner M, Goldacre MJ. Determinants of the decline in mortality from acute stroke in England: linked national database study of 795 869 adults. BMJ. (2019) 365:l1778. doi: 10.1136/bmj.l1778
4. Dalise S, Azzollini V, Chisari C. Brain and muscle: how central nervous system disorders can modify the skeletal muscle. Diagnostics. (2020) 10:1047. doi: 10.3390/diagnostics10121047
5. Scherbakov N, von Haehling S, Anker SD, Dirnagl U, Doehner W. Stroke induced Sarcopenia: muscle wasting and disability after stroke. Int J Cardiol. (2013) 170:89–94. doi: 10.1016/j.ijcard.2013.10.031
6. Li W, Yue T, Liu Y. New understanding of the pathogenesis and treatment of stroke-related sarcopenia. Biomed Pharmacother. (2020) 131:110721. doi: 10.1016/j.biopha.2020.110721
7. Gracies J-M. Coefficients of impairment in deforming spastic paresis. Ann Phys Rehabil Med. (2015) 58:173–8. doi: 10.1016/j.rehab.2015.04.004
8. Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. (2019) 48:16–31. doi: 10.1093/ageing/afz046
9. Park JG, Lee KW, Kim SB, Lee JH, Kim YH. Effect of decreased skeletal muscle index and hand grip strength on functional recovery in subacute ambulatory stroke patients. Ann Rehabil Med. (2019) 43:535–43. doi: 10.5535/arm.2019.43.5.535
10. Hafer-Macko CE, Ryan AS, Ivey FM, Macko RF. Skeletal muscle changes after hemiparetic stroke and potential beneficial effects of exercise intervention strategies. J Rehabil Res Dev. (2008) 45:261–72. doi: 10.1682/JRRD.2007.02.0040
11. Triandafilou KM, Kamper DG. Investigation of hand muscle atrophy in stroke survivors. Clin Biomech Bristol Avon. (2012) 27:268–72. doi: 10.1016/j.clinbiomech.2011.10.002
12. Ryan AS, Ivey FM, Serra MC, Hartstein J, Hafer-Macko CE. Sarcopenia and physical function in middle-aged and older stroke survivors. Arch Phys Med Rehabil. (2017) 98:495–9. doi: 10.1016/j.apmr.2016.07.015
13. Su Y, Yuki M, Otsuki M. Prevalence of stroke-related sarcopenia: a systematic review and meta-analysis. J Stroke Cerebrovasc Dis. (2020) 29:105092.doi: 10.1016/j.jstrokecerebrovasdis.2020.105092
14. Matsushita T, Nishioka S, Taguchi S, Yamanouchi A, Nakashima R, Wakabayashi H. Sarcopenic obesity and activities of daily living in stroke rehabilitation patients: a cross-sectional study. Healthc Basel Switz. (2020) 8:E255. doi: 10.3390/healthcare8030255
15. English C, McLennan H, Thoirs K, Coates A, Bernhardt J. Loss of skeletal muscle mass after stroke: a systematic review. Int J Stroke Off J Int Stroke Soc. (2010) 5:395–402. doi: 10.1111/j.1747-4949.2010.00467.x
16. Carin-Levy G, Greig C, Young A, Lewis S, Hannan J, Mead G. Longitudinal Changes in Muscle Strength and Mass after Acute Stroke. Cerebrovasc Dis. (2006) 21:201–7. doi: 10.1159/000090792
17. Jørgensen L, Jacobsen BK. Changes in muscle mass, fat mass, and bone mineral content in the legs after stroke: a 1 year prospective study. Bone. (2001) 28:655–9. doi: 10.1016/S8756-3282(01)00434-3
18. Li X, Li L, Shin H, Li S, Zhou P. Electrical impedance myography for evaluating paretic muscle changes after stroke. IEEE Trans Neural Syst Rehabil Eng Publ IEEE Eng Med Biol Soc. (2017) 25:2113–21. doi: 10.1109/TNSRE.2017.2707403
19. Yoshimura Y, Wakabayashi H, Bise T, Nagano F, Shimazu S, Shiraishi A, et al. Sarcopenia is associated with worse recovery of physical function and dysphagia and a lower rate of home discharge in Japanese hospitalized adults undergoing convalescent rehabilitation. Nutr Burbank Los Angel Cty Calif. (2019) 61:111–8. doi: 10.1016/j.nut.2018.11.005
20. Nagano F, Yoshimura Y, Bise T, Shimazu S, Shiraishi A. Muscle mass gain is positively associated with functional recovery in patients with sarcopenia after stroke. J Stroke Cerebrovasc Dis. (2020) 29:105017. doi: 10.1016/j.jstrokecerebrovasdis.2020.105017
21. Springer J, Schust S, Peske K, Tschirner A, Rex A, Engel O, et al. catabolic signaling and muscle wasting after acute ischemic stroke in mice. Stroke. (2014) 45:3675–83. doi: 10.1161/STROKEAHA.114.006258
22. Desgeorges MM, Devillard X, Toutain J, Divoux D, Castells J, Bernaudin M, et al. Molecular mechanisms of skeletal muscle atrophy in a mouse model of cerebral ischemia. Stroke. (2015) 46:1673–80. doi: 10.1161/STROKEAHA.114.008574
23. Tuntevski K, Hajira A, Nichols A, Alway SE, Mohamed JS. Muscle-specific sirtuin1 gain-of-function ameliorates skeletal muscle atrophy in a pre-clinical mouse model of cerebral ischemic stroke. FASEB Bioadv. (2020) 2:387–97. doi: 10.1096/fba.2020-00017
24. Ryan AS, Ivey FM, Prior S, Li G, Hafer-Macko C. Skeletal muscle hypertrophy and muscle myostatin reduction after resistive training in stroke survivors. Stroke. (2011) 42:416–20. doi: 10.1161/STROKEAHA.110.602441
25. McDonald MW, Jeffers MS, Issa L, Carter A, Ripley A, Kuhl LM, et al. An exercise mimetic approach to reduce poststroke deconditioning and enhance stroke recovery. Neurorehabil Neural Repair. (2021) 35:471–85. doi: 10.1177/15459683211005019
26. Papadatou MC. Sarcopenia in hemiplegia. J Frailty Sarcopenia Falls. (2020) 5:38–41. doi: 10.22540/JFSF-05-038
27. Sabbouh T, Torbey MT. Malnutrition in Stroke Patients: Risk Factors, Assessment, and Management. Neurocrit Care. (2018) 29:374–84. doi: 10.1007/s12028-017-0436-1
28. Park W, Kim J, Kim M, Min K. Asymmetric atrophy of the multifidus in persons with hemiplegic presentation post-stroke. Top Stroke Rehabil. (2021) 28:519–30. doi: 10.1080/10749357.2020.1846932
29. Lecharte T, Gross R, Nordez A, Le Sant G. Effect of chronic stretching interventions on the mechanical properties of muscles in patients with stroke: a systematic review. Ann Phys Rehabil Med. (2020) 63:222–9. doi: 10.1016/j.rehab.2019.12.003
30. Allison R, Shenton L, Bamforth K, Kilbride C, Richards D. Incidence, time course and predictors of impairments relating to caring for the profoundly affected arm after stroke: a systematic review. Physiother Res Int J Res Clin Phys Ther. (2016) 21:210–27. doi: 10.1002/pri.1634
31. Bhimani R, Anderson L. Clinical understanding of spasticity: implications for practice. Rehabil Res Pract. (2014) 2014:279175. doi: 10.1155/2014/279175
32. Hunnicutt JL, Gregory CM. Skeletal muscle changes following stroke: a systematic review and comparison to healthy individuals. Top Stroke Rehabil. (2017) 24:463–71. doi: 10.1080/10749357.2017.1292720
33. Menon RG, Raghavan P, Regatte RR. Pilot study quantifying muscle glycosaminoglycan using bi-exponential T1ρ mapping in patients with muscle stiffness after stroke. Sci Rep. (2021) 11:13951. doi: 10.1038/s41598-021-93304-7
34. Ishimoto T, Taniguchi Y, Akazawa N. Longitudinal relationship between intramuscular fat in the quadriceps and gait independence in convalescent stroke patients. J Stroke Cerebrovasc Dis. (2020) 29:105287. doi: 10.1016/j.jstrokecerebrovasdis.2020.105287
35. Chung SG, van Rey E, Bai Z, Rymer WZ, Roth EJ, Zhang L-Q. Separate quantification of reflex and nonreflex components of spastic hypertonia in chronic hemiparesis. Arch Phys Med Rehabil. (2008) 89:700–10. doi: 10.1016/j.apmr.2007.09.051
36. Kelleher AR, Gordon BS, Kimball SR, Jefferson LS. Changes in REDD1, REDD2, and atrogene mRNA expression are prevented in skeletal muscle fixed in a stretched position during hindlimb immobilization. Physiol Rep. (2014) 2:e00246. doi: 10.1002/phy2.246
37. Harvey LA, Katalinic OM, Herbert RD, Moseley AM, Lannin NA, Schurr K. Stretch for the treatment and prevention of contractures. Cochrane Database Syst Rev. (2017) 1:CD007455. doi: 10.1002/14651858.CD007455.pub3
38. Pradines M, Ghedira M, Portero R, Masson I, Marciniak C, Hicklin D, et al. Ultrasound structural changes in triceps surae after a 1-year daily self-stretch program: a prospective randomized controlled trial in chronic hemiparesis. Neurorehabil Neural Repair. (2019) 33:245–59. doi: 10.1177/1545968319829455
39. Gioux M, Petit J. Effects of immobilizing the cat peroneus longus muscle on the activity of its own spindles. J Appl Physiol Bethesda Md (1985). (1993) 75:2629–35. doi: 10.1152/jappl.1993.75.6.2629
40. Baricich A, Picelli A, Santamato A, Carda S, de Sire A, Smania N, et al. Safety profile of high-dose botulinum toxin type a in post-stroke spasticity treatment. Clin Drug Investig. (2018) 38:991–1000. doi: 10.1007/s40261-018-0701-x
41. Hughes AJ. Botulinum toxin in clinical practice. Drugs. (1994) 48:888–93. doi: 10.2165/00003495-199448060-00005
42. Minamoto VB, Suzuki KP, Bremner SN, Lieber RL, Ward SR. Dramatic changes in muscle contractile and structural properties after two botulinum toxin injections. Muscle Nerve. (2015) 52:649–57. doi: 10.1002/mus.24576
43. Mathevon L, Michel F, Decavel P, Fernandez B, Parratte B, Calmels P. Muscle structure and stiffness assessment after botulinum toxin type A injection. A systematic review. Ann Phys Rehabil Med. (2015) 58:343–50. doi: 10.1016/j.rehab.2015.06.002
44. Wissel J, Fheodoroff K, Hoonhorst M, Müngersdorf M, Gallien P, Meier N, et al. Effectiveness of abobotulinumtoxina in post-stroke upper limb spasticity in relation to timing of treatment. Front Neurol. (2020) 11:104. doi: 10.3389/fneur.2020.00104
45. Picelli A, Santamato A, Cosma M, Baricich A, Chisari C, Millevolte M, et al. Early botulinum toxin type a injection for post-stroke spasticity: a longitudinal cohort study. Toxins. (2021) 13:374. doi: 10.3390/toxins13060374
46. Rosales RL, Efendy F, Teleg ES, Delos Santos MM, Rosales MC, Ostrea M, et al. Botulinum toxin as early intervention for spasticity after stroke or non-progressive brain lesion: a meta-analysis. J Neurol Sci. (2016) 371:6–14. doi: 10.1016/j.jns.2016.10.005
47. Rosales RL, Balcaitiene J, Berard H, Maisonobe P, Goh KJ, Kumthornthip W, et al. Early abobotulinumtoxina (Dysport®) in post-stroke adult upper limb spasticity: ONTIME pilot study. Toxins. (2018) 10:E253. doi: 10.3390/toxins10070253
48. Baricich A, Wein T, Cinone N, Bertoni M, Picelli A, Chisari C, et al. BoNT-A for post-stroke spasticity: guidance on unmet clinical needs from a delphi panel approach. Toxins. (2021) 13:236. doi: 10.3390/toxins13040236
49. Picelli A, Santamato A, Chemello E, Cinone N, Cisari C, Gandolfi M, et al. Adjuvant treatments associated with botulinum toxin injection for managing spasticity: an overview of the literature. Ann Phys Rehabil Med. (2019) 62:291–6. doi: 10.1016/j.rehab.2018.08.004
50. Beckwée D, Lefeber N, Bautmans I, Cuypers L, De Keersmaecker E, De Raedt S, et al. Muscle changes after stroke and their impact on recovery: time for a paradigm shift? Review and commentary. Top Stroke Rehabil. (2021) 28:104–11. doi: 10.1080/10749357.2020.1783916
51. Jung HJ, Lee YM, Kim M, Uhm KE, Lee J. Suggested assessments for sarcopenia in patients with stroke who can walk independently. Ann Rehabil Med. (2020) 44:20–37. doi: 10.5535/arm.2020.44.1.20
52. Severinsen K, Dalgas U, Overgaard K, Pedersen AR, Ørtenblad N, Lund C, et al. Skeletal muscle fiber characteristics and oxidative capacity in hemiparetic stroke survivors. Muscle Nerve. (2016) 53:748–54. doi: 10.1002/mus.24907
53. Loureiro APC, Langhammer B, Gjøvaag T, Ihle-Hansen H, Guarita-Souza LC. Skeletal muscle metabolism after stroke: a comparative study using treadmill and overground walking test. J Rehabil Med. (2017) 49:558–64. doi: 10.2340/16501977-2255
54. Klaer J, Mähler A, Scherbakov N, Klug L, von Haehling S, Boschmann M, et al. Longer-term impact of hemiparetic stroke on skeletal muscle metabolism-a pilot study. Int J Cardiol. (2017) 230:241–7. doi: 10.1016/j.ijcard.2016.12.143
55. Oi N, Itoh M, Tobimatsu Y, Konno S, Kikuchi S, Iwaya T. Glucose uptake is decreased in affected lower leg muscles of hemiparetic persons during level walking. Tohoku J Exp Med. (2015) 237:307–15. doi: 10.1620/tjem.237.307
56. Dalise S, Cavalli L, Ghuman H, Wahlberg B, Gerwig M, Chisari C, et al. Biological effects of dosing aerobic exercise and neuromuscular electrical stimulation in rats. Sci Rep. (2017) 7:10830. doi: 10.1038/s41598-017-11260-7
57. Andersen JL, Jørgensen JR, Zeeman P, Bech-Pedersen DT, Sørensen J, Ara I, et al. Effects of high-intensity physical training on muscle fiber characteristics in poststroke patients. Muscle Nerve. (2017) 56:954–62. doi: 10.1002/mus.25514
58. Nozoe M, Kubo H, Kanai M, Yamamoto M, Shimada S, Mase K. Peripheral motor nerve conduction abnormality, muscle strength, and muscle wasting in patients with acute stroke: a pilot study. J Clin Neurosci. (2020) 75:80–4. doi: 10.1016/j.jocn.2020.03.021
59. Li X, Fisher M, Rymer WZ, Zhou P. Application of the F-response for estimating motor unit number and amplitude distribution in hand muscles of stroke survivors. IEEE Trans Neural Syst Rehabil Eng Publ IEEE Eng Med Biol Soc. (2016) 24:674–81. doi: 10.1109/TNSRE.2015.2453274
60. Li X, Wang Y-C, Suresh NL, Rymer W, Zhou P. Motor unit number reductions in paretic muscles of stroke survivors. IEEE Trans Inf Technol Biomed. (2011) 15:505–12. doi: 10.1109/TITB.2011.2140379
61. Arasaki K, Igarashi O, Ichikawa Y, Machida T, Shirozu I, Hyodo A, et al. Reduction in the motor unit number estimate (MUNE) after cerebral infarction. J Neurol Sci. (2006) 250:27–32. doi: 10.1016/j.jns.2006.06.024
62. Lukács M. Electrophysiological signs of changes in motor units after ischaemic stroke. Clin Neurophysiol Off J Int Fed Clin Neurophysiol. (2005) 116:1566–70. doi: 10.1016/j.clinph.2005.04.005
63. Huang C, Yao B, Li X, Li S, Zhou P. Muscle fiber diameter and density alterations after stroke examined by single-fiber EMG. Neural Plast. (2021) 2021:e3045990. doi: 10.1155/2021/3045990
64. Kallenberg LAC, Hermens HJ. Motor unit properties of biceps brachii during dynamic contractions in chronic stroke patients. Muscle Nerve. (2011) 43:112–9. doi: 10.1002/mus.21803
65. Hu X, Suresh AK, Rymer WZ, Suresh NL. Assessing altered motor unit recruitment patterns in paretic muscles of stroke survivors using surface electromyography. J Neural Eng. (2015) 12:066001. doi: 10.1088/1741-2560/12/6/066001
66. Sions JM, Tyrell CM, Knarr BA, Jancosko A, Binder-Macleod SA. Age- and stroke-related skeletal muscle changes: a review for the geriatric clinician. J Geriatr Phys Ther. (2012) 35:155–61. doi: 10.1519/JPT.0b013e318236db92
67. Yao B, Zhang X, Li S, Li X, Chen X, Klein CS, et al. Analysis of linear electrode array EMG for assessment of hemiparetic biceps brachii muscles. Front Hum Neurosci. (2015) 9:569. doi: 10.3389/fnhum.2015.00569
68. Conrad MO, Qiu D, Hoffmann G, Zhou P, Kamper DG. Analysis of muscle fiber conduction velocity during finger flexion and extension after stroke. Top Stroke Rehabil. (2017) 24:262–8. doi: 10.1080/10749357.2016.1277482
69. Alawieh A, Tomlinson S, Adkins D, Kautz S, Feng W. Preclinical and clinical evidence on ipsilateral corticospinal projections: implication for motor recovery. Transl Stroke Res. (2017) 8:529–40. doi: 10.1007/s12975-017-0551-5
70. Li X, Shin H, Zhou P, Niu X, Liu J, Rymer WZ. Power spectral analysis of surface electromyography (EMG) at matched contraction levels of the first dorsal interosseous muscle in stroke survivors. Clin Neurophysiol Off J Int Fed Clin Neurophysiol. (2014) 125:988–94. doi: 10.1016/j.clinph.2013.09.044
71. Li X, Suresh A, Zhou P, Rymer WZ. Alterations in the peak amplitude distribution of the surface electromyogram poststroke. IEEE Trans Biomed Eng. (2013) 60:845–52. doi: 10.1109/TBME.2012.2205249
72. Zhang X, Wei Z, Ren X, Gao X, Chen X, Zhou P. Complex neuromuscular changes post-stroke revealed by clustering index analysis of surface electromyogram. IEEE Trans Neural Syst Rehabil Eng Publ IEEE Eng Med Biol Soc. (2017) 25:2105–12. doi: 10.1109/TNSRE.2017.2707582
73. Son J, Rymer WZ. Longer electromechanical delay in paretic triceps surae muscles during voluntary isometric plantarflexion torque generation in chronic hemispheric stroke survivors. J Electromyogr Kinesiol. (2021) 56:102475. doi: 10.1016/j.jelekin.2020.102475
74. Chisari C, Bertolucci F, Monaco V, Venturi M, Simonella C, Micera S, et al. Robot-assisted gait training improves motor performances and modifies Motor Unit firing in poststroke patients. Eur J Phys Rehabil Med. (2015) 51:59–69. Available online at: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923666858&partnerID=40&md5=46b2d3191db123cd99e6c4ba994dc11c
Keywords: neurologic disorders, rehabilitation, chronic stroke, skeletal muscle, disability, long-term care
Citation: Azzollini V, Dalise S and Chisari C (2021) How Does Stroke Affect Skeletal Muscle? State of the Art and Rehabilitation Perspective. Front. Neurol. 12:797559. doi: 10.3389/fneur.2021.797559
Received: 18 October 2021; Accepted: 29 November 2021;
Published: 23 December 2021.
Edited by:
Alessio Baricich, Università degli Studi del Piemonte Orientale, ItalyReviewed by:
Maud Pradines, Hôpitaux Universitaires Henri Mondor, FrancePing Zhou, University of Health and Rehabilitation Sciences, China
Copyright © 2021 Azzollini, Dalise and Chisari. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Valentina Azzollini, v.azzollini@studenti.unipi.it