Next Article in Journal
Accomplishments of “Old-Fashioned” Electron Microscopy in the Period of Dominance of Immunofluorescent Methods
Previous Article in Journal
Immunogenicity of Hepatitis B Virus Vaccination in Relapsing–Remitting Multiple Sclerosis Patients Under Immunocompromising Treatment
Previous Article in Special Issue
Blueprint of Collapse: Precision Biomarkers, Molecular Cascades, and the Engineered Decline of Fast-Progressing ALS
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Review of the Pathology of Muscle in Amyotrophic Lateral Sclerosis

1
Department of Neurology, Royal Brisbane and Women’s Hospital, Herston, QLD 4006, Australia
2
Anatomical Pathology, Pathology Queensland, Herston, QLD 4006, Australia
3
School of Biomedical Sciences, The University of Queensland, St. Lucia, QLD 4072, Australia
4
Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, QLD 4072, Australia
5
Centre for Clinical Research, The University of Queensland, Herston, QLD 4006, Australia
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2026, 27(6), 2802; https://doi.org/10.3390/ijms27062802
Submission received: 24 December 2025 / Revised: 24 February 2026 / Accepted: 10 March 2026 / Published: 19 March 2026
(This article belongs to the Special Issue Amyotrophic Lateral Sclerosis (ALS): Pathogenesis and Treatments)

Abstract

In amyotrophic lateral sclerosis (ALS), a central event is the withdrawal of the motor nerve terminal from its target muscle. Whether this defect is driven by faults in the motor neuron or faults that originate within the muscle remains an area of investigation. In this review, we focus on the pathological abnormalities that are found in skeletal muscle, focusing, when possible, on human ALS, with support from ALS animal models. We begin with an overview of skeletal muscle, including a review of muscle fiber type, motor units and the neuromuscular synapse. Next, we provide a description of the clinical and biomarker changes that occur in the muscles of patients with ALS. We provide an extensive account of the histopathological changes that are evident in ALS muscle, such as fiber type grouping, muscle inflammation, protein misfolding, mitochondrial dysfunction, and alterations in neuromuscular junctions and muscle satellite cells. Our review then concludes with an update of metabolic and molecular–genetic changes that are found in ALS muscle. The evidence shows that muscle can be an additional target for therapy in ALS, in combination with therapies targeting neurons and glia within the central nervous system (CNS).

Graphical Abstract

1. Introduction

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized pathologically by the loss of neurons of the motor cortex and alpha-motor neurons (α-MNs) of the spinal cord and brain stem [1,2]. The cause of ALS is still unclear. Possible pathogenic mechanisms include glutamate toxicity, abnormal RNA processing, accumulation of abnormal protein aggregates and abnormalities of autophagy. It is thought that the development of ALS is a multi-step process [3,4]. The risk of developing ALS is due to both environmental and genetic factors, with genetics estimated to contribute about 61% of the variance in the risk of developing ALS [5]. ALS is usually considered to be a disease of aging; however, more needs to be known about its pathogenesis.
The role of genetics in ALS is complex. There are some single genes that have variants that are strongly associated with ALS [6]. Of these, the most common is repeat expansions of chromosome 9 open reading frame 72 (C9orf72). While C9orf72 is not a new gene, its pathogenic expansion is considered to be relatively recent in human evolution, having arisen from a common founder some 1500 years ago in the Scandinavian region [7]. There are also other genes of small effect that contribute to the risk of developing ALS, as shown in genome-wide studies [8]. Studies also indicate that genetic variation can influence the severity and age of onset of disease [9]. There appear to be interactions of genes for metabolism with the risk of ALS: for example, GPX3, which encodes for glutathione peroxidae 3 (GPX-3) is downregulated in ALS muscle and plays a role in regulating oxidative stress. GPX-3 is also known to interact with known ALS-linked genes, such as SOD1 [10], and is identified as an ALS-risk gene [11]. This is a field that is rapidly expanding, but more needs to be known about the genes that increase the risk of ALS, and those that influence the severity of the disease, with a view to using this knowledge to advance therapy.
There has been recent interest in evolution and ALS. ALS occurs only in humans. It has been pointed out that ALS affects the newest brain functions that have evolved with the development of humans [12]. Recently, it has been suggested that the development of these brain regions was associated with the loss of the CMAH gene in humans [13]. The loss of this gene had a survival advantage in resistance to certain infections. This fascinating field of study is expanding and helps to provide insight into how genes may have been selected for benefit in early life but were not beneficial in aged people.
Although ALS occurs only in humans, animal models have been developed in many species (see review [14]). The most common models are transgenic mouse models, which have inserted human genes that carry known ALS mutations—the most common being the SOD1G93A mutation [15]. These models do not fully reproduce human disease, possibly because rodent brains differ from human brains, as they are developed in inbred strains, and because the insertion of multiple copies of a human ALS transgene represents a gain of toxic function. Another feature not generally appreciated is the morphological differences between rodent and human neuromuscular junctions (NMJs) that have bearing on NMJ function [16]. Rodent NMJs are bigger and have a “pretzel” shape morphology compared to human NMJs, which are significantly smaller and possess an “en grappe” morphology [17]. Collectively, these drawbacks and differences need to be considered when trying to apply the results of laboratory rodent models to ALS in humans.
ALS is characterized pathologically by loss of motor neurons, but the key clinical finding is weakness due to denervation of muscles through withdrawal of neuronal terminal branches from NMJs [18]. In addition, there could be additional roles for muscle in ALS, and some have argued for a more direct contribution to ALS pathogenesis [6,19,20,21,22]. In this review, we report the abnormalities of the muscle described in ALS. We first describe the features of muscle that are important to ALS and then review the evidence from muscle biopsies from people with ALS. Next, we review the possible causes of muscle abnormalities in ALS, with evidence from human studies and from laboratory models. The overall aim of the review is to consider the strength of the evidence for the accepted dogma concerning the role of muscle in ALS.

2. Overview of Skeletal Muscle Structure and Fiber Types

Skeletal muscle is made up of bundles of muscle fibers (myofibers) distributed randomly within fascicles [23]. Muscle fibers are syncytial cells, formed by the fusion of individual myoblasts [24,25,26], and within each myofiber, overlapping myosin and actin filaments create sarcomeres, the basic contractile unit of muscle [25] (Figure 1). Muscle fibers are innervated by α-MNs, resulting in a synapse, termed the neuromuscular junction (NMJ). Muscle contraction is facilitated by the release of calcium ions (Ca2+) from the sarcoplasmic reticulum (SR) following the generation of muscle action potential by α-MNs through the NMJ, a process known as excitation–contraction coupling [25]. Excitation–contraction coupling is a series of events that begins with the muscle action potential and ends with the activation of the intracellular dihydropyridine receptor to release intracellular Ca2+ to trigger actin–myosin-mediated muscle contraction [27]. These physiological mechanisms are well established and are fundamental to our understanding of how weakness can occur.
As first conceived by Sherrington, a motor unit is composed of the α-MN, its terminal axon branches and all the muscle fibers that it innervates [28,29]. The muscle fibers of a motor unit are intermingled with muscle fibers from other motor units [30,31]. Skeletal muscle contains different kinds of motor units that function in postural control and movement. In human muscle, there are three types of motor units: Type S (slow twitch), Type FF (fast fatigable) and Type FR (fast, fatigue resistant) [32,33]. Fast fatigable (FF) motor units rely on glycolysis for energy (i.e., ATP) and are innervated by large α-MNs that are less excitable than other α-MNs and display a burst frequency of action potentials [34]. Fast fatigable-resistant (FR) motor units rely on both glycolysis and oxidative pathways to generate ATP, while slow motor units rely only on oxidative pathways. Since the pathology of ALS includes loss of anterior horn cells, weakness occurs as individual motor units are lost.
FR motor units are characterized by smaller α-MNs that have a high tonal frequency of action potentials, while slow motor units are characterized by small α-MNs which have a slow tonal frequency of action potentials [35,36]. In voluntary muscle contraction, motor units are recruited in an orderly fashion, starting with Type S units, followed by FR and then FF fatigable units [37]. The basis of this orderly recruitment emanates from the orderly activation of α-MNs within a motor pool (all the α-MNs that innervate a muscle), beginning with small α-MNs through to larger α-MNs [37,38], commonly referred to as “Henneman’s size principle”.
While motor units are categorized as fast or slow, and according to resistance to fatigue, muscle fibers can be categorized as Type I (slow twitch) and Type II (fast twitch), with Type II fibers being split into two groups (IIA and IIB). These muscle fiber types were originally distinguished by ATPase staining [39] but are now defined by the presence of different isoforms of myosin heavy chain (MHC) [31,36,40]. The type of MHC in muscle determines the shortening velocity of the fiber [41], so the type of MHC in a fiber is expected to determine whether the fiber shows slow or fast twitch properties. Similarly, the proportion of different fibers in a muscle determines whether it is a postural muscle or is mostly used for movement. This is well known in the case of the muscles of the lower limb, where the Gastrocnemius muscle have more fast fibers than the Soleus, which is a postural muscle [42], and where the Soleus and Gastrocnemius show different patterns of activation [43].
The muscle fiber type is related to the properties of the α-MN by which it is innervated, as first shown by direct recording from motor axons [44]. Studies in the cat found that all the muscle fibers of a motor unit are of the same type [45], further indicating that muscle fiber type is determined by the type of nerve fiber that innervates muscle [46]. This has now been shown to be the case in most mammals [47], including humans [48]. Early experimental studies also confirmed that muscle fiber type is related to innervation [49,50]. This dependence of muscle fiber type means that loss of motor units of a given type will result in the loss of the type of muscle fibers that are dependent on that type of motor unit. This means that loss of a given muscle fiber type will result in changes in the proportions of different muscle fiber types in a muscle. This is important in ALS, where there is thought to be a different vulnerability of different types of motor units.
The mechanism by which α-MNs regulate muscle fiber types is thought to be via differences in frequency and duration of nerve stimulation of the NMJ by different types of anterior horn cells [36,41,51,52]; this is determined by the size of the soma of the anterior horn cell [53]. It appears that different rates of stimulation lead to variation in intracellular calcium levels; this in turn affects the activity of transcription factors such as the nuclear factor of activated T cells (NFAT) and second messages such as AMPK (AMP-activated protein kinase), SIRT1 (Sirtuin 1) and PGC1α (Peroxisome proliferator-activated receptor-gamma coactivator-1 alpha), leading to alteration in myogenic gene expression [31,41]. NFAT has been identified as a key effector pathway for muscle fiber type switching in response to different motor neuron firing patterns [31,54]. These important molecules deserve further study as possible targets for intervention in ALS.
The dependence of muscle fiber type on nerve fiber innervation is supported by the phenomenon of fiber type grouping, when previously denervated muscle fibers undergo a change in muscle fiber type according to the type of re-innervating motor neuron [55,56]. However, this is not always perfect and sometimes results in muscle fibers of intermediate type [56,57]. There is also the possibility of some influence of the muscle fiber on the neuron, with some muscle fibers resisting re-innervation [58]. Fiber type grouping has been considered a key finding in pathological studies of ALS muscle (see below).
Skeletal muscle also contains other types of cells, including muscle stem cells (termed satellite cells), immune cells, fibroblasts (connective tissue cells), and rare cells that can, under certain physiological conditions, aid in the repair of muscle cells (e.g., pericytes and mesangioblasts) [24,59]. Muscle satellite cells, which lie under the basal lamina but exterior to the sarcolemma, are the best characterized muscle stem cells and are important for muscle regeneration after injury [60,61] (Figure 2). Satellite cells are identified in muscle by their high expression of Pax7, a helix-loop transcription factor that helps to prevent them from entering myogenesis under normal physiological conditions [24]. The upregulation of myogenic transcription factors such as MyoD with a corresponding downregulation of Pax 7 allows satellite cells to progress along the myogenic pathway [62].
The NMJ, where terminal axonal branches of α-MNs synapse with muscle, is a complex structure, formed by the distal axonal terminal (motor nerve terminal), the synaptic cleft and the underlying muscle membrane, which bears acetylcholine receptors (AChRs) in very high density [63] (Figure 3). This underlying membrane is also enriched by NMJ proteins, such as LRP4, MuSK, and DOK7, that are needed for NMJ stability [64,65]. The synaptic cleft (the gap between the motor nerve terminal and underlying muscle membrane) is filled with basal lamina, which is composed of selective NMJ induction, adhesion and signaling molecules, such as the synaptic laminins (α4-, α5-, and β2-laminins) [66,67,68,69,70,71,72] and the heparin sulphate proteoglycan agrin [73,74], both of which are required for the formation and maintenance of NMJs [75].
Agrin binds to the LRP4-MuSK-DOK7 complex to assist with stabilization and growth of high-density AChRs in the muscle membrane [76,77,78]. The postnatal infolding (junctional folds) of the muscle membrane under the motor nerve terminal allows for further concentration of AChRs at the tops of these NMJ folds, along with a concentration of voltage-gated Na+ channels along the valleys of these folds [16] (Figure 3). Human NMJs, whilst smaller than other mammalian NMJs such as that of the mouse, have some of the deepest junctional folds, making it a very efficient synapse despite its smaller size [16,17]. The remaining cellular element of the NMJ is the terminal non-myelinating Schwann (glial) cell (Figure 3) [79]. These cells are involved in modulating NMJ synaptic transmission, NMJ plasticity and NMJ repair following denervation [80,81,82,83]. There is increasing interest in NMJ remodeling dynamics in ALS [18,84,85], and interest in the NMJ as a therapeutic target.
Recent studies have shown that overexpression of either MuSK or DOK7 in skeletal muscle of ALS model mice can dramatically slow the rate of muscle denervation, and in the case of DOK7, extend the life span of SOD1G93A ALS model mice [86,87]. Current studies are now developing humanized muscle-specific AAV-DOK7 for human treatments (e.g., see [88]). In the case of MuSK, recent research has led to the development of a human agonist anti-MuSK (ARGX-119) designed to stimulate MuSK, which in turn has been shown to stabilize the NMJ, and thus delay muscle denervation of muscle in ALS model mice (e.g., SOD1G93A and C90rf72 mice [89,90,91]). These findings for MuSK have led to further clinical development of ARGX-119 as an NMJ stabilizing treatment for ALS. Phase 1 clinical trials have met with success, and ARGX-119 is now undergoing Phase 2a reALiSe study with results expected in 2026-2027 (Argenex, https://clinicaltrials.gov/study/NCT06441682, accessed on 17 September 2025; TrialScreen https://app.trialscreen.org/trials/phase-2-safety-efficacy-argx-119-adult-patients-amyotrophic-lateral-sclerosis-trial-nct06441682, accessed on 13 March 2026).

3. Clinical and Biomarker Changes in Muscle in ALS

In ALS, clinicians can find changes in muscle with clinical examination, biochemical testing, neurophysiology, MRI (Figure 4) and by histological examination. These examinations reveal that patients with ALS have muscle wasting (atrophy) and weakness [1], with little to no evidence of myonecrosis or fibrosis [18]. By the time of diagnosis, there has been a significant loss of α-MNs, with a corresponding loss of motor units, with compensatory collateral sprouting of motor axons from surviving α-MNs (i.e., axons from intact motor units) occurring to mask clinical muscle weakness [92]. This can be seen as muscle fasciculations, which are thought to occur from axonal or motor neuron hyperexcitability due to muscle denervation [93] and are also typical of ALS [93]. Fasciculations can also be studied with ultrasound [94]. The cell and molecular bases for these changes in ALS muscle most likely stem from a loss of neuromuscular connections, driven in part by invasion of terminal Schwann cells into the synaptic cleft of the NMJ, along with the dispersal of key proteins from the NMJ’s postsynaptic membrane, such as acetylcholine receptors (AChRs) and MuSK [18,95,96]. The latter is a key tyrosine kinase receptor responsible for stabilizing NMJs (Figure 3; ref. [76]). These visible changes in muscle are fundamental clinical features of ALS and are essential for diagnosis.
A mild to moderate rise in creatine kinase (CK), a muscle enzyme important in energy production, is seen in roughly half of patients with ALS [97]. The mechanism for the rise in CK is not entirely clear but is thought to reflect leakage across a damaged sarcolemma following motor neuron degeneration [98]. Some studies have suggested that an elevated CK level is associated with a better prognosis, suggesting that upregulated muscle metabolism in response to physiologic stress could also be responsible for the rise in this enzyme [99,100]. If true, a rise in muscle CK could also be linked to hypermetabolism seen in patients with ALS [101] and perhaps linked to the ALS-risk gene glutathione peroxidae 3 (GPX-3, see Section 1) [11]. However, measurement of CK is frequently part of the investigations of patients with ALS. It is important to know that raised CK can occur in ALS, and that raised CK does not always indicate a primary muscle disease.
Neurophysiology is widely used to study ALS. With needle electromyography (EMG), the findings are those of denervation and re-innervation and not those of muscle damage [102,103]. Typical changes include fasciculations, fibrillations and large motor units. In ALS, there is also evidence of instability of the NMJ, with a decrement seen with repetitive stimulation [90,104]. Supporting these neurophysiological changes are biopsy studies of ALS muscles that revealed decreased quantal content (i.e., decreased levels of evoked neurotransmitter release) in ALS NMJs [105], along with evidence of morphological and ultrastructural studies of ALS NMJs [18,96] (discussed further below). Neurophysiological techniques of motor unit number estimation (MUNE) have been used to show that motor unit numbers decline over time [106,107]. One MUNE study found that motor unit numbers decline in an exponential fashion [108]. MUNE techniques are expected to give information about the rate of loss of motor units and provide a means of tracking disease.
MRI techniques have been applied to the study of muscle in ALS. MRI of muscle in patients with ALS shows atrophy and infiltration with fatty tissue [109,110,111]. With quantitative MRI studies, the proportion of fat in ALS muscle increases over time and is a marker of disease progression [112]. Progressive loss of muscle volume over time is also able to be measured with MRI [112,113]. In the muscle in the early stages of ALS, there can be an increased T2 signal that is thought to be due to edema of acute denervation [114]. MRI has also been used to study fasciculations [115], and MR spectroscopy has been used to investigate biochemical changes in muscle [116]. These techniques have much to offer the study of muscle in ALS, and with advanced MR spectroscopy, it is expected that the metabolism of muscle can be studied.

4. Histological Changes in Muscle in ALS

Our knowledge of the pathological features of ALS muscle comes from muscle biopsy studies, including our own recent research [18]. Currently, biopsies are studied for morphological changes, changes in muscle fiber type, fiber type grouping, inflammation and expression of abnormal proteins. The studies reported here have been performed on patients with a diagnosis of ALS. We are not aware of studies on muscles that are specific to the different ALS genes. We propose that modern studies of the pathology of muscle are essential to the understanding of ALS of all types.

4.1. Morphological Changes

The first muscle biopsy was reported in 1856, in a report that has been translated from German [117]. After that, there were subsequent publications in the German literature seeking to document muscle morphology in various diseases. In 1953, knowledge was consolidated in an important textbook; this contained a chapter on experimental pathology, outlining the changes that occur after denervation and re-innervation of a muscle [118].
Later, there were reports of a series of muscle biopsies from subjects with ALS. A large series in 1967 described the pathological appearances in biopsies from 348 patients with a range of neuromuscular diseases, including 24 subjects with ALS [119]. It was anticipated that ALS muscle would show changes associated with denervation and re-innervation. Overall, reports of the pathological findings in ALS biopsies indicate that the typical features include changes in denervation, such as small angulated fibers, increased internal nuclei, and pyknotic nuclear clumps, and re-innervation, such as compensatory muscle fiber hypertrophy, target fibers and fiber type grouping [18,120,121,122]. These muscle changes are not specific to ALS and are seen in other neurologic conditions that result in neurogenic atrophy [120].
In Table 1, we have reviewed the previously published series of muscle biopsies in ALS. Biopsies were compared to control (normal) muscle or to other diseases such as spinal muscular atrophy, Charcot–Marie–Tooth disease and other disorders. All the studies reported grouped atrophy/denervation. Some reported predominance of Type I fibers/loss of Type II fibers [18,105,120,122], although others found no change in the ratio of Type I to Type II fibers [123]; others described atrophy of Type I fibers [124,125]. It is possible that Type I fiber atrophy would be prominent if Type II fibers had already degenerated. Table 2 summarizes the techniques that were used and the methods of quantitation. The total number of patients with ALS in these reports is 499, which is a low number considering the diversity and heterogeneity of patients with ALS. The techniques used for the study of muscle biopsies have been conventional histological techniques, and there is scope for more advanced studies.

4.2. Changes in Fiber Type

There have been many studies of muscle fiber types in ALS. These are critical to understanding the selective vulnerability of different types of motor units. These studies include observations in rodent models and in humans. There are some limitations in the use of rodent models, but overall, the gross anatomical arrangement of limb and non-limb muscles is similar. However, regarding fiber type, mouse muscle has more type IIb fast glycolytic fibers and faster twitch than human muscle. They also have differences in myosin heavy chains and membrane excitability [36,133,134]. These differences are attributed to the small size of mice compared to humans and the different basal metabolic rate of humans compared to mice [135]. These differences must be kept in mind when considering these studies.
It is thought that the muscle fibers and their motor neurons in ALS show a differential vulnerability to denervation. Much of this evidence comes from multiple rodent studies of ALS. For example, SOD1 and inducible TDP-43 ALS mouse models have demonstrated an early and selective loss of fast-twitch muscle fibers even before motor symptoms are manifest [136,137,138,139,140,141]. In the later stages of disease, several SOD1 mouse models have demonstrated a transition from fast to slower muscle fibers in tibialis anterior [139,142,143,144], medial gastrocnemius [139,143], plantaris [142] and extensor digitorum longus [145] muscles, but not in soleus [143], a slow-twitch muscle. However, one study of SOD1G93A mice with late-stage ALS found the opposite phenomenon in soleus muscle: a shift from slow to fast muscle fiber types [146].
There is also some evidence for a similar pattern of muscle fiber loss in human ALS. This has been shown with neurophysiology and with pathological studies. Selective vulnerability of fast-twitch muscle fibers in 20 patients with ALS was suggested in one electrophysiologic study that demonstrated a preferential loss of larger motor units [147]. A preferential loss of Type II muscle fibers compared to healthy controls was found in palmaris longus, flexor carpi radialis and vastus medialis in an autopsy study of nine patients with ALS [120]. Our own study showed increased Type I fibers in the vastus lateralis of ALS subjects [18].
In the only longitudinal human study, there was a trend towards the loss of Type II muscle fibers and an increase in the amount of Type I muscle fibers in the vastus lateralis muscle belonging to five patients with ALS over a 12-week period, although this was not statistically significant [122]. One small needle biopsy study of the ALS vastus lateralis muscle found that the presence of hybrid fibers was associated with slower disease progression [148]. However, in two large older case series, a predominant loss of Type II muscle fibers was not seen on cross-sectional analysis of vastus lateralis in patients with ALS compared to controls [123,131]. This finding is interesting given that fast-twitch fibers have been found to constitute about 70% of the vastus lateralis muscle [149]. The early loss of fast-twitch fibers in ALS could explain why the tibialis anterior muscle, which is almost exclusively composed of fast-twitch fibers [150], is disproportionately affected in patients with ALS involving the legs [151]. However, human studies looking at the alteration of muscle fiber types within ALS-affected tibialis anterior muscle are lacking. Overall, these human studies suggest that in humans, there is an early preferential loss of fast muscle fibers. Understanding how this comes about could provide a further clue to the causes of degeneration in ALS.
Extraocular muscles (EOMs) are relatively spared in ALS. There are several possible explanations for this, including the very rich innervation of these muscles. In addition, unlike skeletal muscles, which usually contain three muscle fiber types, the EOMs contain at least six different muscle fiber types [152]. These include developmental muscle fiber types, embryonic and neonatal, that are known to have slower twitch properties, and moreover, muscle fibers belonging to the EOMs often contain more than one type of myosin heavy chain isoform [152]. An autopsy study of EOM samples from eight patients with ALS showed relatively well-preserved muscle fiber type composition and minimal fiber type grouping compared to age-matched controls, except for a greater loss of slow tonic fibers and near absence of embryonic fibers [153], while other studies have reported altered muscle fiber type distribution within EOMs, such as reduced proportions of myosin heavy chain IIA fibers, in patients with ALS [154,155]. Understanding why the extraocular muscles are spared could also shed light on the processes that lead to degeneration.

4.3. Inflammation in Muscle

There is increasing emphasis on inflammation in ALS muscle, which is likely to be important because there are many possible therapeutics that could target inflammation. Several studies have shown inflammatory infiltrates consisting mainly of macrophages within the skeletal muscle of symptomatic SOD1G93A and TDP-43 ALS model mice [156,157,158,159]. Increased expression of macrophage markers, including CCL2, CD68 and CD11b, has also been found in skeletal muscle of symptomatic ALS model mice (SOD1 and TDP-43) [157,158,159]. Macrophage-mediated inflammation appears to increase with disease progression in these model mice, being greatest in end-stage diseases [157,158,159]. However, the presence of macrophages in skeletal muscle is not uniform across muscles, with more macrophages found in the tibialis anterior than in the diaphragm [156]. While evidence is limited, it appears that the presence of macrophages contributes to degeneration in these laboratory models.
Regarding NMJs in ALS, macrophages appear to localize around innervating axonal terminals of the NMJ, suggesting they could play a direct role in muscle denervation [156,157,159]. Indeed, recent studies by Nógrádi and co-researchers have shown that CCL2-positive macrophages become localized around NMJs in patients with ALS and ALS model mice (TDP-43, TDP-43A315T, TDP-43M337V), and that injections of CCL2-neutralizing antibodies can ameliorate NMJ denervation in mutant TDP 43 ALS model mice [159]. These researchers go on to suggest that the CCL2-CCR2 signaling is an inflammatory axis working in muscle to drive the loss of neuromuscular connections in patients with ALS [159]. Interestingly, one study found a correlation between macrophage inflammatory activity and disassociation of terminal Schwann cells from the motor nerve terminal at the NMJs in SOD1G93A rats [157]. This disassociation might in turn allow for direct interaction between CCL2-positive macrophages and the motor nerve terminal for terminal removal by phagocytosis: an idea that remains to be tested. By contrast, it is also possible that the macrophages have a protective role by removing cellular debris and assisting nerve regeneration [156]. Indeed, this beneficial effect of macrophages has been shown in peripheral nerve injury using transgenic mice [160]. Further work is required to understand these opposing possibilities.
Inflammatory infiltrates of both macrophages and lymphocytes have also been seen in the skeletal muscle of some patients with sporadic ALS at varying stages of disease [98,121,122,159]. Where immunohistochemistry has been performed, the lymphocytes were mainly T lymphocytes of the CD4 type [121,161]. Furthermore, increased expression of leucocyte (CD4) and macrophage (CCL2 and CD68) markers has been found in the skeletal muscle of patients with sporadic ALS when compared to controls [122,159].
Increased activation of the innate immune system within skeletal muscle could also be important in the pathogenesis of ALS. Inhibition of the terminal complement pathway using SOD1G93A ALS mice that lack C5a receptor 1 (C5aR1), a key complement protein involved in chemoattraction, appears to reduce macrophage infiltration into skeletal muscle, reduce denervation and improve hindlimb grip strength [158]. Similar findings were also observed in SOD1G93A ALS mice and rats when treated with a C5aR antagonist [162,163,164]. C5a -C5aR1 signaling is also a potent activator of the NLRP3 inflammasome, a pathway that leads to increased expression of pro-inflammatory cytokines such as IL-1β [135]. Indeed, researchers have found increased expression of IL-1β, along with its effector molecules caspase 1 and Asc, within the skeletal muscle of symptomatic SOD1G93A ALS mice and patients with sporadic ALS [165]. There are many therapeutic agents that target complement, so it is important to fully characterize the role of complement in ALS muscle. Collectively, these findings suggest that muscle inflammation is a key early event in ALS pathogenesis, an attractive notion that remains to be substantiated [158,159,165].

4.4. Expression of Abnormal Proteins in ALS Muscle

The pathological features of ALS include aggregation of insoluble protein within neurons [166]. Most of the genes that cause ALS encode for proteins or polypeptides that accumulate within cells or are involved in the metabolism of protein aggregates [2,167]. In the majority of patients, there is accumulation in neurons of Tar DNA-binding Protein 43 (TDP-43) plus other proteins, but a small group has accumulations of superoxide dismutase 1 (SOD1) [2]. This aggregation is thought to be a critical part of the pathogenic process.
Although aggregation of insoluble proteins is best shown in neurons, there have also been studies in muscle [6]. There have been some studies showing the accumulation of TDP-43 in the nuclei of ALS muscle [168], as well as in its cytoplasm [169,170]. TDP-43 accumulation in the intramuscular nerves is also described as a marker of ALS [171]. Dipeptide repeats have been found in muscle biopsies of 18 of 37 patients with ALS associated with C9orf72 repeat expansions [172]. SOD1-associated disease differs from other forms of ALS and shows SOD1 accumulations in neurons. SOD1 has also been shown to aggregate in skeletal muscle cells in the hindlimbs of mutant SOD1G93A and SOD1G37R ALS mice, which in turn can lead to severe muscle pathology, including loss of NMJs [173,174]. However, in the muscles of patients with ALS carrying SOD1 mutations, such an accumulation has not been found [175,176]. Accumulation of abnormal proteins in muscle would suggest that muscle is a primary target of the pathological processes of ALS, but more studies are required.

4.5. Mitochondria in ALS Muscle

Functional abnormalities of mitochondria are present in muscle in ALS [121,177], as evident by increased numbers of cytochrome c oxidase (COX)-negative muscle fibers (COX, also termed Complex IV, is a key enzyme in the mitochondrial electron transport chain) [121,178]. However, one study of 36 patients with sporadic ALS did not find the ratio of COX-negative muscle fibers to be significantly greater than that seen in muscle from 69 controls [179]. Ragged red fibers, which also signify mitochondrial dysfunction, have been described in some cases of ALS [121,180]. Ultrastructural studies have also found abnormalities of mitochondria in ALS muscle, with accumulation of abnormal mitochondria in the subsarcolemmal region of muscle and proximal axons of anterior horn motor neurons in patients with sporadic ALS [181,182,183]. These pathological findings are consistent with the observations of biochemical changes in mitochondrial dysfunction in biopsied muscle [184] and of higher serum lactate concentrations at rest and during exercise in those with sporadic ALS compared to healthy controls [185,186]. Other studies have shown reduced expression of networks involved in mitochondrial activation [187]. At the genetic level, damage to mitochondrial DNA, including deletions, has been observed more frequently in the muscle of patients with sporadic ALS, although the amount of deletions is considerably less than that seen in those with mitochondrial disease [110,179,188]. Mitochondrial damage is therefore likely part of the degenerative process in muscle in ALS.

4.6. Replacement of Muscle with Fat

After denervation, there can be replacement of muscle fibers with fatty tissue, as can be seen with chronic neuropathies [189]. This replacement also appears to be a consequence of the denervation of ALS. Routine clinical MRI and high-field MRI show increased fat in ALS muscle [190]. Little is known about the cellular process of fat accumulation in ALS muscles. However, in aging, when myosteatosis is common, the process involves the replacement of myofibers with adipocytes [191]. Before replacement with adipocytes, lipid can be stored as lipid droplets, both within and between muscle fibers [192], and this process has been observed in ALS muscle [193]. Such pathology is also seen in some animal models of ALS, such as the TDP-43Q331K transgenic mouse [194]. Fat accumulation can therefore be a marker of ALS. It could occur because of metabolic changes or could indicate that, in ALS, there are degenerative changes similar to those of aging.

4.7. Neuromuscular Junction in ALS

NMJs are infrequently observed in routine muscle biopsies. However, when biopsies are performed at the site of motor endplates, denervation and disassembly of the NMJ can be observed [18,96,195]. The alterations to the motor endplate are accompanied by invasion of terminal Schwann cell processes into the synaptic cleft of the NMJ [18,96] and complement deposition [196]. Denervation is accompanied by re-innervation and the formation of new NMJs, termed collateral re-innervation. It occurs by the sprouting of terminal motor axons [84,92], resulting in motor unit expansion and fiber type grouping [18,96]. During this process of re-innervation, terminal Schwann cells play a role in guiding the motor axonal sprouts to the site of the denervated NMJ [197]. Table 3 summarizes the reports of the pathology of NMJs in ALS. For the papers that gave numbers of patients, these are from 59 patients, which is a small number, considering the heterogeneity of ALS. However, these studies consistently demonstrate NMJ pathology in ALS.
While it is unclear whether changes at the NMJ are driven by denervation or by changes in muscle, it would be expected that pathological changes at the NMJ could occur before overt weakness, since there can be loss of muscle fibers before weakness occurs [92]. However, in mouse models of ALS (SOD1G37R [84] and TDP-43Q331K [71]), there is evidence that pathological changes at the NMJ can occur before loss of motor units. This would indicate that pathology at the NMJ could occur first and lead to withdrawal of innervation and the loss of motor units. Experiments show that expression of mutant SOD1G93A in mouse muscle leads to disintegration of the NMJ through mechanisms involving protein kinase C [136,173,174]. In NMJs formed in vitro from muscle and nerve cells derived from human stem cells, there were abnormalities in NMJs from ALS compared to controls [18,202]. These abnormalities would be evidence for the dying back theory of ALS and could support an approach to protect the NMJ as a therapeutic strategy.
In the mutant SOD1G93A mouse model, studies have shown the importance of MuSK (Muscle-specific tyrosine kinase) in the degeneration of nerve fibers. Either overexpression [86] or antibody stimulation [89] of MuSK, which is necessary for the growth and stabilization of AChRs at the NMJ (Figure 3) (see above), can lead to preservation of NMJs. However, although treatment with an antibody agonist to stimulate MuSK can lead to preservation of NMJs, some studies have shown that this stimulation did not improve the strength of the diaphragm—a key muscle affected in ALS [203]. In other ALS models, such as a mouse model of C9orf72-related ALS, a MuSK agonist led to preservation of the NMJ [90]. Collectively, these studies suggest some promise for peripheral therapeutic treatment of muscle in ALS in stabilizing the NMJ. However, these are studies in animal models that may not be applicable to the human disease, where most patients do not carry ALS-associated genes.
In ALS, there have been some investigations of the other NMJ-associated proteins such as LRP4, the receptor for neural-agrin—a protein released by the motor nerve—and DOK7 (a MuSK effector protein; See Figure 3). Neural-agrin binds to LRP4, which activates MuSK, which in turn activates DOK7. Both MuSK and DOK7 are needed to trigger the formation and maintenance of the NMJ [204,205] (Figure 3). Our study of human muscle found less LRP4 and DOK7 in patients with ALS compared to controls [18], and antibodies to LRP4 have been found in the serum of patients with ALS [206,207]. The functional consequences of these changes in humans have not yet been studied, but one study found that adenovirus-directed increase in the expression of DOK7 led to preservation of the NMJ in mutant SOD1G93A mice [87]. The effects of increasing LRP4 in mutant SOD1 ALS model mice are not yet known.
Recent research employing stem cell-derived motor neurons carrying ALS-linked FUS mutations has also revealed a downregulation of proteins needed for NMJ neurotransmitter release and adhesion (e.g., SNAP 25, Ephrin receptor 4aA, and laminins-α1 and -β1 [208]), but again, the functional consequences are unknown, and the relevance of this finding to human disease is unclear. Further research on the role of the NMJ in ALS will help to understand whether NMJ breakdown can originate with pathology in muscle cells and whether this is a target for ALS therapy.

4.8. Satellite Cells in ALS

There are a few morphological studies of satellite cells in human ALS muscle. One small human study reported “lack of activation” of satellite cells in muscle biopsy [122]. However, it is likely that satellite cells play a role in ALS [79]. Satellite cells are necessary for muscle regeneration, and some studies have suggested impaired satellite cell function in ALS [209,210]. Indeed, there is mounting evidence that muscle satellite cells contribute to homeostasis of the NMJ and that alterations in motor neuron health, including their activity, can have adverse effects on this cell population and their proposed neuromuscular functions [211,212,213,214,215]. In support of this idea, ALS researchers have shown that there is variation in the transcriptional profiles and renewability of skeletal muscle satellite cells from vulnerable versus resistant muscles in ALS model mice. For example, in mutant SOD1G93A ALS model mice, extraocular muscle satellite cells contain more transcripts for axonal guidance molecules and thus have greater renewability than muscle satellite cells from diaphragm and hindlimb muscles [216]. This observation may in part account for diaphragm and hindlimb muscles being more prone to ALS-like diseases compared to extraocular muscles. The applicability of these findings in animal models to human ALS remains to be clarified. However, the possibility of enhancing satellite cell function to protect ALS muscle is attractive and worth further study.

5. Metabolic and Molecular Changes

5.1. Metabolic Reprogramming

Metabolic reprogramming, when there is a shift in energy metabolism in response to changes in the environment, occurs in many tissues under physiological stress. It has been well studied in cancer biology [217] and immunology [218] and has been described in neurological diseases [219]. There have been studies of this process in transgenic animal models of ALS. Metabolic reprogramming has been described in the spinal neurons from 12.5-day-old mutant SOD1G93A ALS model mice [220] and in the spinal cord in mutant SOD1G93A mice, with a shift to the use of fatty acids as an energy source [144,221]. In studies of muscle in ALS, studies in mutant SOD1G93A and SOD1G86R rodent models have shown increased oxidative metabolism in the tibialis anterior, before the onset of motor symptoms [144,222]. The early decrease in glycolytic metabolism is paralleled by an increased reliance on lipid metabolism [144,222]. Rescue of glycolytic metabolism by pharmacologic inhibition of fatty acid β-oxidation in the tibialis anterior muscle of mutant SOD1G93A and SOD1G86R mice has been shown to result in preserved muscle strength [144] and weight gain [222] compared to controls, but effects on survival were dependent on complete or partial inhibition of fatty acid β-oxidation [144]. Similarly, improved metabolic function after administration of trimetazidine leads to increased survival of mutant SOD1G93A mice [223]. A study of symptomatic rodents that only expressed SOD1G93A in muscle also demonstrated a shift in the metabolism of fast-twitch tibialis anterior muscle from glycolytic to oxidative, suggesting that metabolic reprogramming of muscle in ALS might occur independent of motor neuron degeneration [224]. However, the applicability of studies in these models is uncertain, particularly since SOD1 variants are found in only a minority of ALS subjects.
In humans with ALS, the metabolic perturbation of skeletal muscle is less clear. One study found that Pyruvate Dehydrogenase Kinase 4 (PDK4), a mitochondrial enzyme involved in switching cells from glycolytic to lipid metabolism, is upregulated in the skeletal muscles of patients with sporadic ALS, as well as SOD1G86R ALS model mice [222]. In human primary myotubes grown in culture, there is evidence of increased dependence on the use of fatty acids as a fuel substrate [101]. However, a proteomic analysis of tibialis anterior muscle taken from patients with sporadic ALS found evidence supporting a reduction in both glucose and lipid metabolisms [225]. A study of muscle progenitor cells found that FOXO1 is a factor that drives muscle damage and metabolic switch [226]. Recent studies have shown that, as well as changes in mitochondria, the switch to fatty acid metabolism is associated with alterations in cholesterol transport [227]. Thus, there is some evidence of metabolic shift in human ALS muscle, but the studies are limited, and more work is required, since there are therapeutic agents that impact metabolism.

5.2. Myokines, Neurotrophins and Muscle Growth Factors

Muscle produces many factors that act both locally and systemically. Alterations in these functions of muscle could play a role in ALS, but so far, this has not been studied extensively. In response to cellular stress, muscle cells increase the production of myogenic regulatory factors (MRFs) such as MyoD1, MyoG and Myf5 [228]. MRF mRNA was found to be upregulated in the skeletal muscle of mutant SOD1G93A rodents during the later stages of disease, suggesting their role in myogenesis [229]. This work is limited, being on only a single disease model. There are yet no studies of these factors in human ALS muscle. However, these important factors play a role in muscle response to injury and deserve further study.
Muscle is known to secrete molecules (myokines) in response to muscle activity [230,231,232]. There have been some studies of myokines in ALS. Irisin is a myokine that plays a role in energy metabolism and immunity [233]. Levels of Irisin are increased in patients with hypermetabolism in ALS and correlate with disability [234]. Fibroblast growth factor 21 (FGF21) is a myokine that shows alteration in ALS muscle, with increases seen in atrophic fibers in humans and SOD1G93A mice, and elevated plasma levels being associated with slower progression of ALS [235]. Fibroblast growth factor binding protein 1 (FGFBP1) is secreted by muscle fibers and assists in the maintenance of NMJs. Secretion of FGFBP1 is reduced in the muscles of SOD1G93A mice [236]. Insulin-like growth factor 2 (IGF-2) is another muscle growth factor which appears to play a role in muscle survival in ALS. For example, in SOD1G93A ALS mice, the levels of IFG-2 and its receptor IGF-1R are maintained in oculomotor nerves and their target muscle, extraocular muscles—muscles which are relatively resistant to ALS pathology [237]. These studies need to be replicated, and the significance of these changes needs further exploration, but changes in myokines could be a mechanism by which changes in muscle lead to metabolic changes in ALS.
Denervated muscle fibers express neurotrophic factors that play a role in re-innervation by terminal branches of motor axons [238]. One such factor is Neurturin that is produced by muscles and promotes motor neuron recruitment and formation of NMJs [239]. Treatment with Neurturin has been beneficial in providing neuroprotection in animal models of ALS (SOD1G93A mice) [240]. It is not clear whether ALS muscle produces Neurturin, but this factor has obvious interest as a molecule involved in the formation of NMJs and could be a possible therapeutic agent.

5.3. Gene/microRNA Expression

In ALS muscle, there are changes in gene expression that are due to the disease and attempts at repair [122]. This can be seen at a molecular level with increased expression of microRNAs involved in muscle regeneration [187]. Most of these studies come from animal models, and the relevance to human ALS is uncertain. There is an alteration in the expression of some microRNAs in muscle in ALS, and it has been suggested that this contributes to pathogenesis [241,242,243]. For example, microRNA miR-206 delays ALS progression in mutant SOD1G93A mice [244]. This effect of miR206 is in part through its regulation of histone deacetylase 4 and subsequent fibroblast growth factor signaling pathways [95,244,245] (Figure 5). One study shows that the suppression of microRNA-23a can suppress disease in a mouse TDP43 model (rNLS8 TDP-43 [246]).
One emerging mechanism in the pathogenesis of ALS is altered RNA metabolism, brought about in part by the loss of function of DNA/RNA binding proteins, such as TDP-43, and its ability to regulate alternative splicing and RNA processing of critical genes needed for synaptic function (e.g., STMN2 and UNC13As [247,248,249]). Such loss of function is thought to be due to perturbed transport of TDP-43 into the neuronal nucleus [250,251]. Regarding skeletal muscle, there is accumulating evidence that this function of TDP-43 is critical for regulating the expression of genes needed for myogenesis, including the proliferation and differentiation of muscle progenitor cells ((e.g., skeletal α-actin, Pax 7 and MyoD) [252,253,254]). Indeed, depletion of TDP-43 from muscle nuclei and its accumulation and phosphorylation in the cytoplasm have been observed in the muscles of some patients with ALS [169,254]. In TDP43 mutant mouse models, the cytoplasmic accumulation of TDP-43 is associated with a progressive loss of muscle function and subsequent denervation, which in part can be rescued by suppression of cytoplasmic TDP-43 [255]. Despite these intriguing observations, the role of TDP-43 in controlling specific muscle gene splicing events and the process of their mRNAs in ALS muscle remains an open area of research in need of full pathological characterization in ALS muscle.

5.4. Extracellular Vesicles

There has been recent interest in the role of extracellular vesicles in ALS. One electron microscopic study of human ALS muscle found an increase in multivesicular bodies filled with exosome-like structures, which were shown to stain with antibodies to CD63, a marker of vesicles. When extracted, these vesicles were found to be toxic to motor neurons [256]. Extracellular vesicles (EVs) are found to be important in other aspects of ALS, such as the transfer of misfolded proteins and microRNAs [257,258]. Recent research has shown that ALS muscle can secrete EVs that are taken up by the innervating α-MN to trigger death [256,259] (Figure 6), but more work is required to fully assess the role of muscle EVs in ALS. Nevertheless, EVs offer a means by which pathology can spread from cell to cell.

5.5. ALS Modeling Using Neuromuscular Organoids and ALS Proteomics

The use of muscle organoids or cells with and without α-MNs has been best developed for muscle diseases with a known single genetic mutation, such as Duchenne muscular dystrophy (mutated dystrophinin; [260,261]) and congenital myasthenia gravis (genetic mutations to genes that encode for AChRs and members of its clustering pathway, such as MuSK, LRP4, DOK7 and Rapsyn; see Figure 3 [262]). These two disorders are diseases of the developing neuromuscular system. By contrast, ALS is a neural degenerative disease of the adult neuromuscular system, which, even in ALS mammalian models, manifests post the fetal to adult switching of molecular components of the neuromotor system. These include the following. For α-MNs synapses, potassium–chloride transporter switches (NKCC1 to KCC2). This developmental switch allows for glycinergic neurotransmission to convert from being depolarizing (excitatory) to inhibitory (hyperpolarizing) [263]. Thus, during development, α-MNs are largely governed by excitation, and then later, when pattern output of neural activity is required, by a combination of excitation (glutamatergic and cholinergic) and inhibition (Glycinergic) [264,265]. There are also fetal to adult neurotransmitter receptor switches of glycinergic receptors that aid in the maturation of glycinergic neurotransmission [266].
At the NMJ, there is pre- and postsynaptic molecular switching that occurs post birth in mammals (including humans). At the pre-synaptic membrane N to P/Q voltage-gated calcium channels, switching allows for enhanced efficacy of synaptic transmission [70,267]. During this period, in the muscle’s postsynaptic region, there is a switch in acetylcholine receptor units, from gamma to epsilon [268]. This switch allows for faster modulation of postsynaptic depolarization that will, in turn, govern the generation and frequency of muscle action potentials. These events largely occur during the loss of polyneuronal innervation of muscle post birth. For muscle, this developmental period is accompanied by the specification of muscle fiber type (fast and slow twitch) and stabilization of the motor unit. Human organoid models, which are generated mostly from adult or embryonic pluripotent stem cells (iPSCs), can be of value to model the effect of a defined mutation in ALS (e.g., see [269] and reviewed by [270]). However, it must be remembered that these models are models of a developing neuromotor system, and not of a mature neural system. The challenge for researchers will be to age these models to display many of the above molecular switches if they are to be translational to ALS (see review by [270]).
In addition, there is the challenge of developing a neuromotor system that carries an epigenetic signature, which is acquired by age and is a signature that is lost when generating models from stem cells [271]. This issue is becoming important in ALS research, where researchers such as Kevin Rhine et al. have recently shown that direct programming of α-MNs from adult fibroblasts retains an aged epigenetic signature when compared to aged human brain neurons, and that this signature is lost in α-MNs generated from iPSCs [271]. Further, as neurons age, they appear to be depleted of RNA-binding proteins, including the ALS-linked protein TDP-43, which becomes accumulated in the cytoplasm [271]. This redistribution of RNA-binding proteins such as TDP-43 is likely to be most important in driving the neural pathology of ALS [272]. Whether such aged TDP-43-dependent defects also occur in ALS muscle is not known. In the future, organoids for ALS research may require direct programming of α-MNs from adult fibroblasts and of muscle cells from adult satellite cells.
At the post-translational level, proteomic studies using control (non-ALS) and ALS muscle biopsies have revealed that arginine methylation is altered in ALS muscle compared to control muscle [273], a disturbance that may explain why patients with ALS become hypermetabolic [101]. These findings provide for future opportunities to explore the function of asymmetric demethylation as a regulator of muscle pathophysiology in ALS.

6. Conclusions

In this review, we have described the abnormalities that are found in muscle, focusing, when possible, on human ALS. The role of muscle in ALS is clinically important since the cardinal signs of ALS are muscle weakness and wasting, and death is due to weakness of the respiratory muscles.
The prominent finding in muscle is degeneration that appears to be neurogenic, as seen by the fiber type grouping and the selective early loss of fast fibers. Type II muscle fibers are supplied by FF motor units and are responsible for bursts of movement. The NMJ is degraded early. There is also substantial early regeneration, alterations in muscle metabolism, mitochondrial dysfunction, changes in secretion of soluble factors by muscle, as well as the emerging role of TDP-43 in ALS muscle pathology. These changes have led to suggestions that muscle is a target for therapy in ALS [254]. Indeed, drugs and treatments aimed at improving muscle health and its cellular environment (e.g., muscle satellite and immune cells) have recently been reviewed (see [6,274]).
Further studies of muscle in people with ALS would be welcome. It would be ideal to use modern techniques to confirm the morphological features, to quantify changes in fiber type, to quantify inflammation and examine features that lead to variability in inflammation, and to quantify mitochondrial changes. There is also a need to clarify the role of RNA-binding proteins such as TDP-43 in regulating the expression of muscle genes in ALS muscle, and to investigate the accumulation of lipid in muscle. This would ideally be done at a molecular level with RNA seq and single-cell gene expression.
In genetic studies, it would be useful to study the numerous muscle genes for their effect on susceptibility to disease and as modifiers of outcome. It is well known that pathogenic variants in these genes can lead to weakness and fatigue of muscles, and it can be speculated that variants in such genes could modify the course of ALS. There are no studies of this at present. In terms of therapy, there are opportunities to try to improve muscle metabolism, to improve regeneration and to reduce muscle inflammation. One field that is emerging is therapies directed against complement. There are also avenues to explore the contribution of muscle tissue as a driver of ALS pathology.

Author Contributions

M.K., P.A.M. and P.G.N. drafted the original manuscript, and all authors contributed to successive drafting and editing. P.G.N. and S.Y. constructed the figures using BioRender.com. All authors have read and agreed to the published version of the manuscript.

Funding

P.G.N. is supported by a FIGHT-MND Discovery grant (DIS-202403-01216).

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

The following abbreviations are used in this manuscript:
AChRsacetyl choline receptors
AMPKAMP-activated protein kinase
ATPadenosine triphosphate
α-MNsalpha-motor neurons
ALSamyotrophic lateral sclerosis
C5aR1C5a receptor 1
CKcreatine kinase
EMGelectromyography
EOMsextraocular muscles
EVsextracellular vesicles
FFfast fatigable
FRfast fatigable resistant
FGFBP1fibroblast growth factor binding protein 1
FGF21fibroblast growth factor 21
IGF-2insulin-like growth factor 2
MUNEmotor unit number estimation
MuSKmuscle specific tyrosine kinase
MRFsmyogenic regulatory factors
MHCmyosin heavy chain
NFATnuclear factor of activated T cells
NMJneuromuscular junction
PGC1αperoxisome proliferator-activated receptor-gamma coactivator-1 alpha
PDK4pyruvate dehydrogenase kinase 4
Ref.references
SRsarcoplasmic reticulum
SIRT1sirtuin 1
SOD1superoxide dismutase 1
TDP-43tar DNA binding protein 43

References

  1. Tandan, R.; Bradley, W.G. Amyotrophic lateral sclerosis: Part 1. Clinical features, pathology, and ethical issues in management. Ann. Neurol. 1985, 18, 271–280. [Google Scholar] [CrossRef]
  2. Saberi, S.; Stauffer, J.E.; Schulte, D.J.; Ravits, J. Neuropathology of Amyotrophic Lateral Sclerosis and Its Variants. Neurol. Clin. 2015, 33, 855–876. [Google Scholar] [CrossRef] [PubMed]
  3. Al-Chalabi, A.; Calvo, A.; Chio, A.; Colville, S.; Ellis, C.M.; Hardiman, O.; Heverin, M.; Howard, R.S.; Huisman, M.H.B.; Keren, N.; et al. Analysis of amyotrophic lateral sclerosis as a multistep process: A population-based modelling study. Lancet Neurol. 2014, 13, 1108–1113. [Google Scholar] [CrossRef] [PubMed]
  4. Ziser, L.; van Eijk, R.P.A.; Kiernan, M.C.; McRae, A.; Henderson, R.D.; Schultz, D.; Needham, M.; Mathers, S.; McCombe, P.; Talman, P.; et al. Amyotrophic lateral sclerosis established as a multistep process across phenotypes. Eur. J. Neurol. 2025, 32, e16532. [Google Scholar] [CrossRef] [PubMed]
  5. Al-Chalabi, A.; Fang, F.; Hanby, M.F.; Leigh, P.N.; Shaw, C.E.; Ye, W.; Rijsdijk, F. An estimate of amyotrophic lateral sclerosis heritability using twin data. J. Neurol. Neurosurg. Psychiatry 2010, 81, 1324–1326. [Google Scholar] [CrossRef]
  6. Duranti, E.; Villa, C. Muscle Involvement in Amyotrophic Lateral Sclerosis: Understanding the Pathogenesis and Advancing Therapeutics. Biomolecules 2023, 13, 1583. [Google Scholar] [CrossRef]
  7. Pliner, H.A.; Mann, D.M.; Traynor, B.J. Searching for Grendel: Origin and global spread of the C9ORF72 repeat expansion. Acta Neuropathol. 2014, 127, 391–396. [Google Scholar] [CrossRef]
  8. van Rheenen, W.; van der Spek, R.A.A.; Bakker, M.K.; van Vugt, J.J.F.A.; Hop, P.J.; Zwamborn, R.A.J.; de Klein, N.; Westra, H.-J.; Bakker, O.B.; Deelen, P.; et al. Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology. Nat. Genet. 2012, 53, 1636–1648, Correction in Nat. Genet. 2022, 54, 361. [Google Scholar] [CrossRef]
  9. Li, C.; Lin, J.; Jiang, Q.; Yang, T.; Xiao, Y.; Huang, J.; Hou, Y.; Wei, Q.; Cui, Y.; Wang, S.; et al. Genetic Modifiers of Age at Onset for Amyotrophic Lateral Sclerosis: A Genome-Wide Association Study. Ann. Neurol. 2023, 94, 933–941. [Google Scholar] [CrossRef]
  10. Benyamin, B.; He, J.; Zhao, Q.; Gratten, J.; Garton, F.; Leo, P.J.; Liu, Z.; Mangelsdorf, M.; Al-Chalabi, A.; Anderson, L.; et al. Cross-ethnic meta-analysis identifies association of the GPX3-TNIP1 locus with amyotrophic lateral sclerosis. Nat. Commun. 2017, 8, 611. [Google Scholar] [CrossRef]
  11. Restuadi, R.; Steyn, F.J.; Kabashi, E.; Ngo, S.T.; Cheng, F.-F.; Nabais, M.F.; Thompson, M.J.; Ting, Q.; Wu, Y.; Henders, A.K.; et al. Functional characterisation of the amyotrophic lateral sclerosis risk locus GPX3/TNIP1. Genome Med. 2022, 14, 7. [Google Scholar] [CrossRef]
  12. Henderson, R.D.; Garton, F.C.; Kiernan, M.C.; Turner, M.R.; Eisen, A. Human cerebral evolution and the clinical syndrome of amyotrophic lateral sclerosis. J. Neurol. Neurosurg. Psychiatry 2019, 90, 570–575. [Google Scholar] [CrossRef]
  13. Spedding, M. Does Amyotrophic Lateral Sclerosis (ALS) Have Metabolic Causes from Human Evolution? Cells 2025, 14, 1734. [Google Scholar] [CrossRef] [PubMed]
  14. Zhou, L.; Xie, M.; Wang, X.; Xu, R. The usage and advantages of several common amyotrophic lateral sclerosis animal models. Front. Neurosci. 2024, 18, 1341109. [Google Scholar] [CrossRef] [PubMed]
  15. Gurney, M.E.; Pu, H.; Chiu, A.Y.; Dal Canto, M.C.; Polchow, C.Y.; Alexander, D.D.; Caliendo, J.; Hentati, A.; Kwon, Y.W.; Deng, H.X.; et al. Motor neuron degeneration in mice that express a human Cu,Zn superoxide dismutase mutation. Science 1994, 264, 1772–1775. [Google Scholar] [CrossRef]
  16. Slater, C.R. Structural factors influencing the efficacy of neuromuscular transmission. Ann. N. Y. Acad. Sci. 2008, 1132, 1–12. [Google Scholar] [CrossRef]
  17. Slater, C.R. The Structure of Human Neuromuscular Junctions: Some Unanswered Molecular Questions. Int. J. Mol. Sci. 2017, 18, 2183. [Google Scholar] [CrossRef] [PubMed]
  18. Ding, Q.; Kesavan, K.; Lee, K.M.; Wimberger, E.; Robertson, T.; Gill, M.; Power, D.; Chang, J.; Fard, A.T.; Mar, J.C.; et al. Impaired signaling for neuromuscular synaptic maintenance is a feature of Motor Neuron Disease. Acta Neuropathol. Commun. 2022, 10, 61. [Google Scholar] [CrossRef]
  19. Pansarasa, O.; Rossi, D.; Berardinelli, A.; Cereda, C. Amyotrophic lateral sclerosis and skeletal muscle: An update. Mol. Neurobiol. 2014, 49, 984–990. [Google Scholar] [CrossRef]
  20. Loeffler, J.P.; Picchiarelli, G.; Dupuis, L.; Gonzalez De Aguilar, J.L. The Role of Skeletal Muscle in Amyotrophic Lateral Sclerosis. Brain Pathol. 2016, 26, 227–236. [Google Scholar] [CrossRef]
  21. Shefner, J.M.; Musaro, A.; Ngo, S.T.; Lunetta, C.; Steyn, F.J.; Robitaille, R.; De Carvalho, M.; Rutkove, S.; Ludolph, A.C.; Dupuis, L. Skeletal muscle in amyotrophic lateral sclerosis. Brain 2023, 146, 4425–4436. [Google Scholar] [CrossRef]
  22. Noakes, P.G.; Phillips, W.D.; Jeffree, R.L.; Steyn, F.J.; Wolvetang, E.J.; Henderson, R.D.; McCombe, P.A.; Ngo, S.T. Muscle and Its Neuromuscular Synapse—Players in the Pathogenesis of Motor Neuron Disease. J. Exp. Neurol. 2023, 4, 1–5. [Google Scholar] [CrossRef]
  23. Chargé, S.B.; Rudnicki, M.A. Cellular and molecular regulation of muscle regeneration. Physiol. Rev. 2004, 84, 209–238. [Google Scholar] [CrossRef] [PubMed]
  24. Zammit, P.S.; Partridge, T.A.; Yablonka-Reuveni, Z. The skeletal muscle satellite cell: The stem cell that came in from the cold. J. Histochem. Cytochem. 2006, 54, 1177–1191. [Google Scholar] [CrossRef]
  25. Frontera, W.R.; Ochala, J. Skeletal muscle: A brief review of structure and function. Calcif. Tissue Int. 2015, 96, 183–195. [Google Scholar] [CrossRef] [PubMed]
  26. Petrany, M.J.; Millay, D.P. Cell Fusion: Merging Membranes and Making Muscle. Trends Cell Biol. 2019, 29, 964–973. [Google Scholar] [CrossRef] [PubMed]
  27. Araya, R.; Liberona, J.L.; Cárdenas, J.C.; Riveros, N.; Estrada, M.; Powell, J.A.; Carrasco, M.A.; Jaimovich, E. Dihydropyridine receptors as voltage sensors for a depolarization-evoked, IP3R-mediated, slow calcium signal in skeletal muscle cells. J. Gen. Physiol. 2003, 121, 3–16. [Google Scholar] [CrossRef]
  28. Sherrington, C.S. Remarks on some aspects of reflex inhibition. Proc. R. Soc. Lond. 1925, B97, 519–545. [Google Scholar] [CrossRef]
  29. Duchateau, J.; Enoka, R.M. Human motor unit recordings: Origins and insight into the integrated motor system. Brain Res. 2011, 1409, 42–61, Correction in Brain Res. 2011, 1421, 121. [Google Scholar] [CrossRef]
  30. Feinstein, B.; Lindegard, B.; Nyman, E.; Wohlfart, G. Morphologic studies of motor units in normal human muscles. Acta Anat. 1955, 23, 127–142. [Google Scholar] [CrossRef]
  31. Schiaffino, S.; Chemello, F.; Reggiani, C. The Diversity of Skeletal Muscle Fiber Types. Cold Spring Harb. Perspect. Biol. 2024, 17, a041477. [Google Scholar] [CrossRef]
  32. Burke, R.E.; Levine, D.N.; Tsairis, P.; Zajac, F.E., 3rd. Physiological types and histochemical profiles in motor units of the cat gastrocnemius. J. Physiol. 1973, 234, 723–748. [Google Scholar] [CrossRef]
  33. Burke, R.E.; Levine, D.N.; Salcman, M.; Tsairis, P. Motor units in cat soleus muscle: Physiological, histochemical and morphological characteristics. J. Physiol. 1974, 238, 503–514. [Google Scholar] [CrossRef]
  34. Nijssen, J.; Comley, L.H.; Hedlund, E. Motor neuron vulnerability and resistance in amyotrophic lateral sclerosis. Acta Neuropathol. 2017, 133, 863–885. [Google Scholar] [CrossRef] [PubMed]
  35. Hennig, R.; Lømo, T. Firing patterns of motor units in normal rats. Nature 1985, 314, 164–166. [Google Scholar] [CrossRef] [PubMed]
  36. Schiaffino, S.; Reggiani, C. Fiber types in mammalian skeletal muscles. Physiol. Rev. 2011, 91, 1447–1531. [Google Scholar] [CrossRef]
  37. Henneman, E.; Clamann, H.P.; Gillies, J.D.; Skinner, R.D. Rank order of motoneurons within a pool: Law of combination. J. Neurophysiol. 1974, 37, 1338–1349. [Google Scholar] [CrossRef]
  38. Sypert, G.W.; Munson, J.B. Basis of segmental motor control: Motoneuron size or motor unit type? Neurosurgery 1981, 8, 608–621. [Google Scholar] [CrossRef]
  39. Hintz, C.S.; Coyle, E.F.; Kaiser, K.K.; Chi, M.M.; Lowry, O.H. Comparison of muscle fiber typing by quantitative enzyme assays and by myosin ATPase staining. J. Histochem. Cytochem. 1984, 32, 655–660. [Google Scholar] [CrossRef] [PubMed]
  40. Scott, W.; Stevens, J.; Binder-Macleod, S.A. Human skeletal muscle fiber type classifications. Phys. Ther. 2001, 81, 1810–1816. [Google Scholar] [CrossRef]
  41. Gundersen, K. Determination of muscle contractile properties: The importance of the nerve. Acta Physiol. Scand. 1998, 162, 333–341. [Google Scholar] [CrossRef]
  42. Gollnick, P.D.; Sjödin, B.; Karlsson, J.; Jansson, E.; Saltin, B. Human soleus muscle: A comparison of fiber composition and enzyme activities with other leg muscles. Pflugers Arch. 1974, 348, 247–255. [Google Scholar] [CrossRef]
  43. Moritani, T.; Oddsson, L.; Thorstensson, A. Activation patterns of the soleus and gastrocnemius muscles during different motor tasks. J. Electromyogr. Kinesiol. 1991, 1, 81–88. [Google Scholar] [CrossRef] [PubMed]
  44. Eccles, J.C.; Eccles, R.M.; Lundberg, A. The action potentials of the alpha motoneurones supplying fast and slow muscles. J. Physiol. 1958, 142, 275–291. [Google Scholar] [CrossRef] [PubMed]
  45. Nemeth, P.M.; Solanki, L.; Gordon, D.A.; Hamm, T.M.; Reinking, R.M.; Stuart, D.G. Uniformity of metabolic enzymes within individual motor units. J. Neurosci. 1986, 6, 892–898. [Google Scholar] [CrossRef]
  46. Burke, R.E. Revisiting the notion of ‘motor unit types’. Prog. Brain Res. 1999, 123, 167–175. [Google Scholar]
  47. Buchthal, F.; Schmalbruch, H. Motor unit of mammalian muscle. Physiol. Rev. 1980, 60, 90–142. [Google Scholar] [CrossRef]
  48. Garnett, R.A.; O’Donovan, M.J.; Stephens, J.A.; Taylor, A. Motor unit organization of human medial gastrocnemius. J. Physiol. 1979, 287, 33–43. [Google Scholar] [CrossRef]
  49. Buller, A.J.; Eccles, J.C.; Eccles, R.M. Interactions between motoneurones and muscles in respect of the characteristic speeds of their responses. J. Physiol. 1960, 150, 417–439. [Google Scholar] [CrossRef] [PubMed]
  50. Engel, W.K. Selective and nonselective susceptibility of muscle fiber types. A new approach to human neuromuscular diseases. Arch. Neurol. 1970, 22, 97–117. [Google Scholar] [CrossRef] [PubMed]
  51. Hughes, S.M.; Salinas, P.C. Control of muscle fibre and motoneuron diversification. Curr. Opin. Neurobiol. 1999, 9, 54–64. [Google Scholar] [CrossRef]
  52. Salmons, S.; Sréter, F.A. Significance of impulse activity in the transformation of skeletal muscle type. Nature 1976, 263, 30–34, Erratum in Nature 1976, 263, 352. https://doi.org/10.1038/263352a0. [Google Scholar] [CrossRef]
  53. Henneman, E.; Somjen, G.; Carpenter, D.O. Functional Significance of Cell Size in Spinal Motoneurons. J. Neurophysiol. 1965, 28, 560–580. [Google Scholar] [CrossRef]
  54. McCullagh, K.J.; Calabria, E.; Pallafacchina, G.; Ciciliot, S.; Serrano, A.L.; Argentini, C.; Kalhovde, J.M.; Lømo, T.; Schiaffino, S. NFAT is a nerve activity sensor in skeletal muscle and controls activity-dependent myosin switching. Proc. Natl. Acad. Sci. USA 2004, 101, 10590–10595, Erratum in Proc. Natl. Acad. Sci. USA 2004, 121, e2424252121. https://doi.org/10.1073/pnas.2424252121. [Google Scholar] [CrossRef] [PubMed]
  55. Morris, C.J. Human skeletal muscle fibre type grouping and collateral re-innervation. J. Neurol. Neurosurg. Psychiatry 1969, 32, 440–444. [Google Scholar] [CrossRef] [PubMed][Green Version]
  56. Gordon, T.; Thomas, C.K.; Munson, J.B.; Stein, R.B. The resilience of the size principle in the organization of motor unit properties in normal and reinnervated adult skeletal muscles. Can. J. Physiol. Pharmacol. 2004, 82, 645–661. [Google Scholar] [CrossRef] [PubMed]
  57. Unguez, G.A.; Roy, R.R.; Pierotti, D.J.; Bodine-Fowler, S.; Edgerton, V.R. Further evidence of incomplete neural control of muscle properties in cat tibialis anterior motor units. Am. J. Physiol. 1995, 268, C527–C534. [Google Scholar] [CrossRef]
  58. Foehring, R.C.; Munson, J.B. Motoneuron and muscle-unit properties after long-term direct innervation of soleus muscle by medial gastrocnemius nerve in cat. J. Neurophysiol. 1990, 64, 847–861. [Google Scholar] [CrossRef]
  59. Birbrair, A.; Zhang, T.; Wang, Z.M.; Messi, M.L.; Enikolopov, G.N.; Mintz, A.; Delbono, O. Role of pericytes in skeletal muscle regeneration and fat accumulation. Stem Cells Dev. 2013, 22, 2298–2314. [Google Scholar] [CrossRef]
  60. Mauro, A. Satellite cell of skeletal muscle fibers. J. Biophys. Biochem. Cytol. 1961, 9, 493–495. [Google Scholar] [CrossRef]
  61. Dumont, N.A.; Bentzinger, C.F.; Sincennes, M.C.; Rudnicki, M.A. Satellite Cells and Skeletal Muscle Regeneration. Compr. Physiol. 2015, 5, 1027–1059. [Google Scholar] [CrossRef] [PubMed]
  62. Olguín, H.C.; Pisconti, A. Marking the tempo for myogenesis: Pax7 and the regulation of muscle stem cell fate decisions. J. Cell. Mol. Med. 2012, 16, 1013–1025. [Google Scholar] [CrossRef]
  63. Salpeter, M.M.; Loring, R.H. Nicotinic acetylcholine receptors in vertebrate muscle: Properties, distribution and neural control. Prog. Neurobiol. 1985, 25, 297–325. [Google Scholar] [CrossRef]
  64. Herbst, R. MuSk function during health and disease. Neurosci. Lett. 2020, 716, 134676. [Google Scholar] [CrossRef]
  65. Rodríguez Cruz, P.M.; Cossins, J.; Beeson, D.; Vincent, A. The Neuromuscular Junction in Health and Disease: Molecular Mechanisms Governing Synaptic Formation and Homeostasis. Front. Mol. Neurosci. 2020, 13, 610964. [Google Scholar] [CrossRef]
  66. Noakes, P.G.; Gautam, M.; Mudd, J.; Sanes, J.R.; Merlie, J.P. Aberrant differentiation of neuromuscular junctions in mice lacking s-laminin/laminin β2. Nature 1995, 374, 258–262. [Google Scholar] [CrossRef]
  67. Patton, B.L.; Miner, J.H.; Chiu, A.Y.; Sanes, J.R. Distribution and function of laminins in the neuromuscular system of developing, adult, and mutant mice. J. Cell Biol. 1997, 139, 1507–1521. [Google Scholar] [CrossRef]
  68. Patton, B.L.; Cunningham, J.M.; Thyboll, J.; Kortesmaa, J.; Westerblad, H.; Edström, L.; Tryggvason, K.; Sanes, J.R. Properly formed but improperly localized synaptic specializations in the absence of laminin α4. Nat. Neurosci. 2001, 4, 597–604. [Google Scholar] [CrossRef] [PubMed]
  69. Knight, D.; Tolley, L.K.; Kim, D.K.; Lavidis, N.A.; Noakes, P.G. Functional analysis of neurotransmission at β2-laminin deficient terminals. J. Physiol. 2003, 546, 789–800. [Google Scholar] [CrossRef] [PubMed]
  70. Chand, K.K.; Lee, K.M.; Schenning, M.P.; Lavidis, N.A.; Noakes, P.G. Loss of β2-laminin alters calcium sensitivity and voltage-gated calcium channel maturation of neurotransmission at the neuromuscular junction. J. Physiol. 2015, 593, 245–265. [Google Scholar] [CrossRef]
  71. Chand, K.K.; Lee, K.M.; Lee, J.D.; Qiu, H.; Willis, E.F.; Lavidis, N.A.; Hilliard, M.A.; Noakes, P.G. Defects in synaptic transmission at the neuromuscular junction precede motor deficits in a TDP-43(Q331K) transgenic mouse model of amyotrophic lateral sclerosis. FASEB J. 2018, 32, 2676–2689. [Google Scholar] [CrossRef]
  72. Badawi, Y.; Nishimune, H. Impairment Mechanisms and Intervention Approaches for Aged Human Neuromuscular Junctions. Front. Mol. Neurosci. 2020, 13, 568426. [Google Scholar] [CrossRef]
  73. McMahan, U.J. The agrin hypothesis. Cold Spring Harb. Symp. Quant. Biol. 1990, 55, 407–418. [Google Scholar] [CrossRef]
  74. Gautam, M.; Noakes, P.G.; Moscoso, L.; Rupp, F.; Scheller, R.H.; Merlie, J.P.; Sanes, J.R. Defective neuromuscular synaptogenesis in agrin-deficient mutant mice. Cell 1996, 85, 525–535. [Google Scholar] [CrossRef] [PubMed]
  75. Samuel, M.A.; Valdez, G.; Tapia, J.C.; Lichtman, J.W.; Sanes, J.R. Agrin and synaptic laminin are required to maintain adult neuromuscular junctions. PLoS ONE 2012, 7, e46663. [Google Scholar] [CrossRef] [PubMed]
  76. Ghazanfari, N.; Fernandez, K.J.; Murata, Y.; Morsch, M.; Ngo, S.T.; Reddel, S.W.; Noakes, P.G.; Phillips, W.D. Muscle specific kinase: Organiser of synaptic membrane domains. Int. J. Biochem. Cell Biol. 2011, 43, 295–298. [Google Scholar] [CrossRef]
  77. Ohkawara, B.; Ito, M.; Ohno, K. Secreted Signaling Molecules at the Neuromuscular Junction in Physiology and Pathology. Int. J. Mol. Sci. 2021, 22, 2455. [Google Scholar] [CrossRef]
  78. Herbst, R.; Huijbers, M.G.; Oury, J.; Burden, S.J. Building, Breaking, and Repairing Neuromuscular Synapses. Cold Spring Harb. Perspect. Biol. 2024, 16, a041490. [Google Scholar] [CrossRef]
  79. Tsitkanou, S.; Della Gatta, P.A.; Russell, A.P. Skeletal Muscle Satellite Cells, Mitochondria, and MicroRNAs: Their Involvement in the Pathogenesis of ALS. Front. Physiol. 2016, 7, 403. [Google Scholar] [CrossRef] [PubMed]
  80. Santosa, K.B.; Keane, A.M.; Jablonka-Shariff, A.; Vannucci, B.; Snyder-Warwick, A.K. Clinical relevance of terminal Schwann cells: An overlooked component of the neuromuscular junction. J. Neurosci. Res. 2018, 96, 1125–1135. [Google Scholar] [CrossRef] [PubMed]
  81. Darabid, H.; St-Pierre-See, A.; Robitaille, R. Purinergic-Dependent Glial Regulation of Synaptic Plasticity of Competing Terminals and Synapse Elimination at the Neuromuscular Junction. Cell Rep. 2018, 25, 2070–2082.E6. [Google Scholar] [CrossRef]
  82. Perez-Gonzalez, A.P.; Provost, F.; Rousse, I.; Piovesana, R.; Benzina, O.; Darabid, H.; Lamoureux, B.; Wang, Y.S.; Arbour, D.; Robitaille, R. Functional adaptation of glial cells at neuromuscular junctions in response to injury. Glia 2022, 70, 1605–1629. [Google Scholar] [CrossRef]
  83. Gould, T.W.; Ko, C.P.; Willison, H.; Robitaille, R. Perisynaptic Schwann Cells: Guardians of Neuromuscular Junction Integrity and Function in Health and Disease. Cold Spring Harb. Perspect. Biol. 2025, 17, a041362. [Google Scholar] [CrossRef]
  84. Martineau, É.; Di Polo, A.; Vande Velde, C.; Robitaille, R. Dynamic neuromuscular remodeling precedes motor-unit loss in a mouse model of ALS. eLife 2018, 7, e41973. [Google Scholar] [CrossRef]
  85. Verma, S.; Khurana, S.; Vats, A.; Sahu, B.; Ganguly, N.K.; Chakraborti, P.; Gourie-Devi, M.; Taneja, V. Neuromuscular Junction Dysfunction in Amyotrophic Lateral Sclerosis. Mol. Neurobiol. 2022, 59, 1502–1527. [Google Scholar] [CrossRef] [PubMed]
  86. Pérez-García, M.J.; Burden, S.J. Increasing MuSK activity delays denervation and improves motor function in ALS mice. Cell Rep. 2012, 2, 497–502. [Google Scholar] [CrossRef] [PubMed]
  87. Miyoshi, S.; Tezuka, T.; Arimura, S.; Tomono, T.; Okada, T.; Yamanashi, Y. DOK7 gene therapy enhances motor activity and life span in ALS model mice. EMBO Mol. Med. 2017, 9, 880–889. [Google Scholar] [CrossRef]
  88. Huang, Y.-T.; Crick, H.R.; Chaytow, H.; van der Hoorn, D.; Alhindi, A.; Jones, R.A.; Hector, R.D.; Cobb, S.R.; Gillingwater, T.H. Long-term muscle-specific overexpression of DOK7 in mice using AAV9-tMCK-DOK7. Mol. Ther. Nucleic Acids 2023, 33, 617–628. [Google Scholar] [CrossRef] [PubMed]
  89. Cantor, S.; Zhang, W.; Delestrée, N.; Remédio, L.; Mentis, G.Z.; Burden, S.J. Preserving neuromuscular synapses in ALS by stimulating MuSK with a therapeutic agonist antibody. eLife 2018, 7, e34375. [Google Scholar] [CrossRef]
  90. Sun, S.; Shen, Y.; Zhang, X.; Ding, N.; Xu, Z.; Zhang, Q.; Li, L. The MuSK agonist antibody protects the neuromuscular junction and extends the lifespan in C9orf72-ALS mice. Mol. Ther. 2024, 32, 2176–2189. [Google Scholar] [CrossRef]
  91. Vanhauwaert, R.; Oury, J.; Vankerckhoven, B.; Steyaert, C.; Jensen, S.M.; Vergoossen, D.L.E.; Kneip, C.; Santana, L.; Lim, J.L.; Plomp, J.J.; et al. ARGX-119 is an agonist antibody for human MuSK that reverses disease relapse in a mouse model of congenital myasthenic syndrome. Sci. Transl. Med. 2024, 16, eado7189. [Google Scholar] [CrossRef]
  92. Wohlfart, G. Collateral regeneration from residual motor nerve fibers in amyotrophic lateral sclerosis. Neurology 1957, 7, 124–134. [Google Scholar] [CrossRef] [PubMed]
  93. de Carvalho, M.; Kiernan, M.C.; Swash, M. Fasciculation in amyotrophic lateral sclerosis: Origin and pathophysiological relevance. J. Neurol. Neurosurg. Psychiatry 2017, 88, 773–779. [Google Scholar] [CrossRef] [PubMed]
  94. Fukushima, K.; Takamatsu, N.; Yamamoto, Y.; Yamazaki, H.; Yoshida, T.; Osaki, Y.; Haji, S.; Fujita, K.; Sugie, K.; Izumi, Y. Early diagnosis of amyotrophic lateral sclerosis based on fasciculations in muscle ultrasonography: A machine learning approach. Clin. Neurophysiol. 2022, 140, 136–144. [Google Scholar] [CrossRef] [PubMed]
  95. Bruneteau, G.; Simonet, T.; Bauché, S.; Mandjee, N.; Malfatti, E.; Girard, E.; Tanguy, M.L.; Behin, A.; Khiami, F.; Sariali, E.; et al. Muscle histone deacetylase 4 upregulation in amyotrophic lateral sclerosis: Potential role in reinnervation ability and disease progression. Brain 2013, 136, 2359–2368. [Google Scholar] [CrossRef]
  96. Bruneteau, G.; Bauché, S.; Gonzalez de Aguilar, J.L.; Brochier, G.; Mandjee, N.; Tanguy, M.L.; Hussain, G.; Behin, A.; Khiami, F.; Sariali, E.; et al. Endplate denervation correlates with Nogo-A muscle expression in amyotrophic lateral sclerosis patients. Ann. Clin. Transl. Neurol. 2015, 2, 362–372. [Google Scholar] [CrossRef]
  97. Nona, R.H.; Henderson, R.D.; McCombe, P.A. Routine blood biochemical biomarkers in amyotrophic lateral sclerosis: Systematic review and cohort analysis. Amyotroph. Lateral Scler. Front. Degener. 2024; in press. [Google Scholar]
  98. Achari, A.N.; Anderson, M.S. Myopathic changes in amyotrophic lateral sclerosis. Pathologic analysis of muscle biopsy changes in 111 cases. Neurology 1974, 24, 477–481. [Google Scholar] [CrossRef]
  99. Rafiq, M.K.; Lee, E.; Bradburn, M.; McDermott, C.J.; Shaw, P.J. Creatine kinase enzyme level correlates positively with serum creatinine and lean body mass, and is a prognostic factor for survival in amyotrophic lateral sclerosis. Eur. J. Neurol. 2016, 23, 1071–1078. [Google Scholar] [CrossRef]
  100. Tai, H.; Cui, L.; Guan, Y.; Liu, M.; Li, X.; Shen, D.; Li, D.; Cui, B.; Fang, J.; Ding, Q.; et al. Correlation of Creatine Kinase Levels with Clinical Features and Survival in Amyotrophic Lateral Sclerosis. Front. Neurol. 2017, 8, 322. [Google Scholar] [CrossRef]
  101. Steyn, F.J.; Li, R.; Kirk, S.E.; Tefera, T.W.; Xie, T.Y.; Tracey, T.J.; Kelk, D.; Wimberger, E.; Garton, F.C.; Roberts, L.; et al. Altered skeletal muscle glucose-fatty acid flux in amyotrophic lateral sclerosis. Brain Commun. 2020, 2, fcaa154. [Google Scholar] [CrossRef]
  102. Daube, J.R. Electrodiagnostic studies in amyotrophic lateral sclerosis and other motor neuron disorders. Muscle Nerve 2000, 23, 1488–1502. [Google Scholar] [CrossRef] [PubMed]
  103. Duleep, A.; Shefner, J. Electrodiagnosis of motor neuron disease. Phys. Med. Rehabil. Clin. N. Am. 2013, 24, 139–151. [Google Scholar] [CrossRef] [PubMed]
  104. Henderson, R.; Baumann, F.; Hutchinson, N.; McCombe, P. CMAP decrement in ALS. Muscle Nerve 2009, 39, 555–556. [Google Scholar] [CrossRef]
  105. Maselli, R.A.; Wollman, R.L.; Leung, C.; Distad, B.; Palombi, S.; Richman, D.P.; Salazar-Grueso, E.F.; Roos, R.P. Neuromuscular transmission in amyotrophic lateral sclerosis. Muscle Nerve 1993, 16, 1193–1203. [Google Scholar] [CrossRef]
  106. Henderson, R.D.; McCombe, P.A. Assessment of Motor Units in Neuromuscular Disease. Neurotherapeutics 2017, 14, 69–77. [Google Scholar] [CrossRef]
  107. Shin-Yi Lin, C.; Howells, J.; Rutkove, S.; Nandedkar, S.; Neuwirth, C.; Noto, Y.I.; Shahrizaila, N.; Whittaker, R.G.; Bostock, H.; Burke, D.; et al. Neurophysiological and imaging biomarkers of lower motor neuron dysfunction in motor neuron diseases/amyotrophic lateral sclerosis: IFCN handbook chapter. Clin. Neurophysiol. 2024, 162, 91–120. [Google Scholar] [CrossRef]
  108. Baumann, F.; Henderson, R.D.; Gareth Ridall, P.; Pettitt, A.N.; McCombe, P.A. Quantitative studies of lower motor neuron degeneration in amyotrophic lateral sclerosis: Evidence for exponential decay of motor unit numbers and greatest rate of loss at the site of onset. Clin. Neurophysiol. 2012, 123, 2092–2098. [Google Scholar] [CrossRef]
  109. Diamanti, L.; Alfonsi, E.; Ferraro, O.E.; Cereda, C.; Pansarasa, O.; Bastianello, S.; Pichiecchio, A. A pilot study assessing T1-weighted muscle MRI in amyotrophic lateral sclerosis (ALS). Skelet. Radiol. 2019, 48, 569–575. [Google Scholar] [CrossRef]
  110. Vielhaber, S.; Kunz, D.; Winkler, K.; Wiedemann, F.R.; Kirches, E.; Feistner, H.; Heinze, H.J.; Elger, C.E.; Schubert, W.; Kunz, W.S. Mitochondrial DNA abnormalities in skeletal muscle of patients with sporadic amyotrophic lateral sclerosis. Brain 2000, 123, 1339–1348. [Google Scholar] [CrossRef]
  111. Diamanti, L.; Paoletti, M.; Vita, U.D.; Muzic, S.I.; Cereda, C.; Ballante, E.; Pichiecchio, A. MRI study of paraspinal muscles in patients with Amyotrophic Lateral Sclerosis (ALS). J. Clin. Med. 2020, 9, 934. [Google Scholar] [CrossRef] [PubMed]
  112. Klickovic, U.; Zampedri, L.; Zafeiropoulos, N.; Ziff, O.J.; Sinclair, C.D.; Wastling, S.; Dudziec, M.; Allen, J.; Trimmel, K.; Howard, R.S.; et al. Muscle MRI quantifies disease progression in Amyotrophic Lateral Sclerosis. medRxiv 2025. [Google Scholar] [CrossRef]
  113. Jenkins, T.M.; Burness, C.; Connolly, D.J.; Rao, D.G.; Hoggard, N.; Mawson, S.; McDermott, C.J.; Wilkinson, I.D.; Shaw, P.J. A prospective pilot study measuring muscle volumetric change in amyotrophic lateral sclerosis. Amyotroph. Lateral Scler. Front. Degener. 2013, 14, 414–423. [Google Scholar] [CrossRef]
  114. El Khalfi, R.; Maupoint, E.; Chiavassa-Gandois, H.; Goumarre, C.; Filliole, A.; Lapègue, F.; Fabry, V.; Acket, B.; Laforet, A.; Sans, N.; et al. Assessment of whole-body muscle MRI for the early diagnosis of Amyotrophic Lateral Sclerosis. Eur. J. Radiol. 2024, 176, 111481. [Google Scholar] [CrossRef] [PubMed]
  115. Heskamp, L.; Birkbeck, M.G.; Hall, J.; Schofield, I.S.; Bashford, J.; Williams, T.L.; De Oliveira, H.M.; Whittaker, R.G.; Blamire, A.M. Whole-body fasciculation detection in amyotrophic lateral sclerosis using motor unit MRI. Clin. Neurophysiol. 2024, 161, 246–255. [Google Scholar] [CrossRef]
  116. Sassani, M.; Alix, J.J.; McDermott, C.J.; Baster, K.; Hoggard, N.; Wild, J.M.; Mortiboys, H.J.; Shaw, P.J.; Wilkinson, I.D.; Jenkins, T.M. Magnetic resonance spectroscopy reveals mitochondrial dysfunction in amyotrophic lateral sclerosis. Brain 2020, 143, 3603–3618. [Google Scholar] [CrossRef] [PubMed]
  117. Griesinger, V.W. Ueber Muskelhypertrophie. Am. J. Dis. Child. 1973, 125, 894–898. [Google Scholar] [CrossRef]
  118. Adams, R.D.; Denny-Brown, D.; Pearson, C.M. Experimental Pathology. In Diseases of Muscle; Paul B Hoebner: New York, NY, USA, 1953; pp. 101–126. [Google Scholar]
  119. Anderson, P.J.; Song, S.K.; Slotwiner, P. The muscle biopsy program at Mount Sinai Hospital: Results of a five year prospective study. J. Mt. Sinai Hosp. 1967, 34, 171–205. [Google Scholar]
  120. Telerman-Toppet, N.; Coërs, C. Motor innervation and fiber type pattern in amyotrophic lateral sclerosis and in Charcot-Marie-Tooth disease. Muscle Nerve 1978, 1, 133–139. [Google Scholar] [CrossRef]
  121. Al Sarraj, S.; King, A.; Cleveland, M.; Pradat, P.F.; Corse, A.; Rothstein, J.D.; Leigh, P.N.; Abila, B.; Bates, S.; Wurthner, J.; et al. Mitochondrial abnormalities and low grade inflammation are present in the skeletal muscle of a minority of patients with amyotrophic lateral sclerosis; an observational myopathology study. Acta Neuropathol. Commun. 2014, 2, 165. [Google Scholar] [CrossRef]
  122. Jensen, L.; Jørgensen, L.H.; Bech, R.D.; Frandsen, U.; Schrøder, H.D. Skeletal Muscle Remodelling as a Function of Disease Progression in Amyotrophic Lateral Sclerosis. BioMed Res. Int. 2016, 2016, 5930621. [Google Scholar] [CrossRef]
  123. Iwasaki, Y.; Sugimoto, H.; Ikeda, K.; Takamiya, K.; Shiojima, T.; Kinoshita, M. Muscle morphometry in amyotrophic lateral sclerosis. Int. J. Neurosci. 1991, 58, 165–170. [Google Scholar] [CrossRef]
  124. Brooke, M.H.; Engel, W.K. The histographic analysis of human muscle biopsies with regard to fiber types. 2. Diseases of the upper and lower motor neuron. Neurology 1969, 19, 378–393. [Google Scholar] [CrossRef]
  125. Patten, B.M.; Zito, G.; Harati, Y. Histologic findings in motor neuron disease. Relation to clinically determined activity, duration, and severity of disease. Arch. Neurol. 1979, 36, 560–564. [Google Scholar] [CrossRef]
  126. Haase, G.R.; Shy, G.M. Pathological changes in muscle biopsies from patients with peroneal muscular atrophy. Brain 1960, 83, 631–637. [Google Scholar] [CrossRef]
  127. Brooke, M.H.; Engel, W.K. The histographic analysis of human muscle biopsies with regard to fiber types. 1. Adult male and female. Neurology 1969, 19, 221–233. [Google Scholar] [CrossRef]
  128. Mastaglia, F.L.; Walton, J.N. Histological and histochemical changes in skeletal muscle from cases of chronic juvenile and early adult spinal muscular atrophy (the Kugelberg-Welander syndrome). J. Neurol. Sci. 1971, 12, 15–44. [Google Scholar] [CrossRef]
  129. Dastur, D.K.; Razzak, Z.A. Possible neurogenic factor in muscular dystrophy: Its similarity to denervation atrophy. J. Neurol. Neurosurg. Psychiatry 1973, 36, 399–410. [Google Scholar] [CrossRef]
  130. Fidzianska, A. Morphological differences between the atrophied small muscle fibres in amyotrophic lateral sclerosis and Werdnig-Hoffmann disease. Acta Neuropathol. 1976, 34, 321–327. [Google Scholar] [CrossRef] [PubMed]
  131. Froes, M.M.; Kristmundsdottir, F.; Mahon, M.; Cumming, W.J. Muscle morphometry in motor neuron disease. Neuropathol. Appl. Neurobiol. 1987, 13, 405–419. [Google Scholar] [CrossRef] [PubMed]
  132. Baloh, R.H.; Rakowicz, W.; Gardner, R.; Pestronk, A. Frequent atrophic groups with mixed-type myofibers is distinctive to motor neuron syndromes. Muscle Nerve 2007, 36, 107–110. [Google Scholar] [CrossRef] [PubMed]
  133. Augusto, V.; Padovani, C.R.; Campos, G.E.R. Skeletal muscle fiber types in C57BLJ6 mice. Braz. J. Morphol. Sci. 2004, 21, 89–94. [Google Scholar]
  134. Suetterlin, K.J.; Männikkö, R.; Matthews, E.; Greensmith, L.; Hanna, M.G.; Bostock, H.; Tan, S.V. Excitability properties of mouse and human skeletal muscle fibres compared by muscle velocity recovery cycles. Neuromuscul. Disord. 2022, 32, 347–357. [Google Scholar] [CrossRef]
  135. Perlman, R.L. Mouse models of human disease: An evolutionary perspective. Evol. Med. Public Health 2016, 2016, 170–176. [Google Scholar] [CrossRef]
  136. Frey, D.; Schneider, C.; Xu, L.; Borg, J.; Spooren, W.; Caroni, P. Early and selective loss of neuromuscular synapse subtypes with low sprouting competence in motoneuron diseases. J. Neurosci. 2000, 20, 2534–2542. [Google Scholar] [CrossRef]
  137. Pun, S.; Santos, A.F.; Saxena, S.; Xu, L.; Caroni, P. Selective vulnerability and pruning of phasic motoneuron axons in motoneuron disease alleviated by CNTF. Nat. Neurosci. 2006, 9, 408–419. [Google Scholar] [CrossRef]
  138. Hegedus, J.; Putman, C.T.; Gordon, T. Time course of preferential motor unit loss in the SOD1 G93A mouse model of amyotrophic lateral sclerosis. Neurobiol. Dis. 2007, 28, 154–164. [Google Scholar] [CrossRef]
  139. Hegedus, J.; Putman, C.T.; Tyreman, N.; Gordon, T. Preferential motor unit loss in the SOD1 G93A transgenic mouse model of amyotrophic lateral sclerosis. J. Physiol. 2008, 586, 3337–3351. [Google Scholar] [CrossRef] [PubMed]
  140. Vinsant, S.; Mansfield, C.; Jimenez-Moreno, R.; Del Gaizo Moore, V.; Yoshikawa, M.; Hampton, T.G.; Prevette, D.; Caress, J.; Oppenheim, R.W.; Milligan, C. Characterization of early pathogenesis in the SOD1(G93A) mouse model of ALS: Part I, background and methods. Brain Behav. 2013, 3, 335–350. [Google Scholar] [CrossRef] [PubMed]
  141. Spiller, K.J.; Cheung, C.J.; Restrepo, C.R.; Kwong, L.K.; Stieber, A.M.; Trojanowski, J.Q.; Lee, V.M. Selective Motor Neuron Resistance and Recovery in a New Inducible Mouse Model of TDP-43 Proteinopathy. J. Neurosci. 2016, 36, 7707–7717. [Google Scholar] [CrossRef]
  142. Deforges, S.; Branchu, J.; Biondi, O.; Grondard, C.; Pariset, C.; Lécolle, S.; Lopes, P.; Vidal, P.P.; Chanoine, C.; Charbonnier, F. Motoneuron survival is promoted by specific exercise in a mouse model of amyotrophic lateral sclerosis. J. Physiol. 2009, 587, 3561–3572. [Google Scholar] [CrossRef] [PubMed]
  143. Peggion, C.; Massimino, M.L.; Biancotto, G.; Angeletti, R.; Reggiani, C.; Sorgato, M.C.; Bertoli, A.; Stella, R. Absolute quantification of myosin heavy chain isoforms by selected reaction monitoring can underscore skeletal muscle changes in a mouse model of amyotrophic lateral sclerosis. Anal. Bioanal. Chem. 2017, 409, 2143–2153. [Google Scholar] [CrossRef]
  144. Scaricamazza, S.; Salvatori, I.; Giacovazzo, G.; Loeffler, J.P.; Renè, F.; Rosina, M.; Quessada, C.; Proietti, D.; Heil, C.; Rossi, S.; et al. Skeletal-Muscle Metabolic Reprogramming in ALS-SOD1(G93A) Mice Predates Disease Onset and Is a Promising Therapeutic Target. iScience 2020, 23, 101087. [Google Scholar] [CrossRef]
  145. Sharp, P.S.; Dick, J.R.; Greensmith, L. The effect of peripheral nerve injury on disease progression in the SOD1(G93A) mouse model of amyotrophic lateral sclerosis. Neuroscience 2005, 130, 897–910. [Google Scholar] [CrossRef]
  146. Dobrowolny, G.; Aucello, M.; Musarò, A. Muscle atrophy induced by SOD1G93A expression does not involve the activation of caspase in the absence of denervation. Skelet. Muscle 2011, 1, 3. [Google Scholar] [CrossRef]
  147. Dengler, R.; Konstanzer, A.; Küther, G.; Hesse, S.; Wolf, W.; Struppler, A. Amyotrophic lateral sclerosis: Macro-EMG and twitch forces of single motor units. Muscle Nerve 1990, 13, 545–550. [Google Scholar] [CrossRef]
  148. Krivickas, L.S.; Yang, J.I.; Kim, S.K.; Frontera, W.R. Skeletal muscle fiber function and rate of disease progression in amyotrophic lateral sclerosis. Muscle Nerve 2002, 26, 636–643. [Google Scholar] [CrossRef] [PubMed]
  149. Edgerton, V.R.; Smith, J.L.; Simpson, D.R. Muscle fibre type populations of human leg muscles. Histochem. J. 1975, 7, 259–266. [Google Scholar] [CrossRef]
  150. Tasić, D.; Dimov, D.; Gligorijević, J.; Ljubinka, V.; Kati, K.; Krsti, M.; Dimov, I. Muscle fibre types and fibre morphometry in the tibialis posterior and anterior of the rat: A comparative study. FACTA Univ. Ser. Med. Biol. 2003, 10, 16–21. [Google Scholar]
  151. Min, Y.G.; Choi, S.J.; Hong, Y.H.; Kim, S.M.; Shin, J.Y.; Sung, J.J. Dissociated leg muscle atrophy in amyotrophic lateral sclerosis/motor neuron disease: The ‘split-leg’ sign. Sci. Rep. 2020, 10, 15661. [Google Scholar] [CrossRef] [PubMed]
  152. Kjellgren, D.; Thornell, L.E.; Andersen, J.; Pedrosa-Domellöf, F. Myosin heavy chain isoforms in human extraocular muscles. Investig. Opthalmol. Vis. Sci. 2003, 44, 1419–1425. [Google Scholar] [CrossRef][Green Version]
  153. Ahmadi, M.; Liu, J.X.; Brännström, T.; Andersen, P.M.; Stål, P.; Pedrosa-Domellöf, F. Human extraocular muscles in ALS. Investig. Opthalmol. Vis. Sci. 2010, 51, 3494–3501. [Google Scholar] [CrossRef] [PubMed]
  154. Tjust, A.E.; Danielsson, A.; Andersen, P.M.; Brännström, T.; Pedrosa Domellöf, F. Impact of Amyotrophic Lateral Sclerosis on Slow Tonic Myofiber Composition in Human Extraocular Muscles. Investig. Opthalmol. Vis. Sci. 2017, 58, 3708–3715. [Google Scholar] [CrossRef]
  155. Behzadi, A.; Tjust, A.E.; Liu, J.X.; Andersen, P.M.; Brännström, T.; Pedrosa Domellöf, F. Myofiber Type Shift in Extraocular Muscles in Amyotrophic Lateral Sclerosis. Investig. Opthalmol. Vis. Sci. 2023, 64, 15. [Google Scholar] [CrossRef]
  156. Chiu, I.M.; Phatnani, H.; Kuligowski, M.; Tapia, J.C.; Carrasco, M.A.; Zhang, M.; Maniatis, T.; Carroll, M.C. Activation of innate and humoral immunity in the peripheral nervous system of ALS transgenic mice. Proc. Natl. Acad. Sci. USA 2009, 106, 20960–20965. [Google Scholar] [CrossRef]
  157. Van Dyke, J.M.; Smit-Oistad, I.M.; Macrander, C.; Krakora, D.; Meyer, M.G.; Suzuki, M. Macrophage-mediated inflammation and glial response in the skeletal muscle of a rat model of familial amyotrophic lateral sclerosis (ALS). Exp. Neurol. 2016, 277, 275–282. [Google Scholar] [CrossRef]
  158. Wang, H.A.; Lee, J.D.; Lee, K.M.; Woodruff, T.M.; Noakes, P.G. Complement C5a-C5aR1 signalling drives skeletal muscle macrophage recruitment in the hSOD1G93A mouse model of amyotrophic lateral sclerosis. Skelet. Muscle 2017, 7, 10. [Google Scholar] [CrossRef] [PubMed]
  159. Nógrádi, B.; Molnár, K.; Kristóf, R.; Horváth, O.; Huang, Y.-T.; Ridgway, Z.; Elicegui, A.; Fuertes-Alvarez, S.; Alonso-Martin, S.; Szebeni, G.J.; et al. The CCL2-CCR2 axis drives neuromuscular denervation in amyotrophic lateral sclerosis. Nat. Commun. 2025, 16, 7053. [Google Scholar] [CrossRef]
  160. Barrette, B.; Hébert, M.A.; Filali, M.; Lafortune, K.; Vallières, N.; Gowing, G.; Julien, J.P.; Lacroix, S. Requirement of myeloid cells for axon regeneration. J. Neurosci. 2008, 28, 9363–9376. [Google Scholar] [CrossRef]
  161. Troost, D.; Das, P.K.; van den Oord, J.J.; Louwerse, E.S. Immunohistological alterations in muscle of patients with amyotrophic lateral sclerosis: Mononuclear cell phenotypes and expression of MHC products. Clin. Neuropathol. 1992, 11, 115–120. [Google Scholar]
  162. Lee, J.D.; Kumar, V.; Fung, J.N.; Ruitenberg, M.J.; Noakes, P.G.; Woodruff, T.M. Pharmacological inhibition of complement C5a-C5a1 receptor signalling ameliorates disease pathology in the hSOD1G93A mouse model of amyotrophic lateral sclerosis. Br. J. Pharmacol. 2017, 174, 689–699. [Google Scholar] [CrossRef] [PubMed]
  163. Woodruff, T.M.; Costantini, K.J.; Crane, J.W.; Atkin, J.D.; Monk, P.N.; Taylor, S.M.; Noakes, P.G. The complement factor C5a contributes to pathology in a rat model of amyotrophic lateral sclerosis. J. Immunol. 2008, 181, 8727–8734. [Google Scholar] [CrossRef]
  164. Kumar, V.; Lee, J.D.; Clark, R.J.; Noakes, P.G.; Taylor, S.M.; Woodruff, T.M. Preclinical Pharmacokinetics of Complement C5a Receptor Antagonists PMX53 and PMX205 in Mice. ACS Omega 2020, 5, 2345–2354. [Google Scholar] [CrossRef] [PubMed]
  165. Lehmann, S.; Esch, E.; Hartmann, P.; Goswami, A.; Nikolin, S.; Weis, J.; Beyer, C.; Johann, S. Expression profile of pattern recognition receptors in skeletal muscle of SOD1((G93A)) amyotrophic lateral sclerosis (ALS) mice and sporadic ALS patients. Neuropathol. Appl. Neurobiol. 2018, 44, 606–627. [Google Scholar] [CrossRef] [PubMed]
  166. Blokhuis, A.M.; Groen, E.J.; Koppers, M.; van den Berg, L.H.; Pasterkamp, R.J. Protein aggregation in amyotrophic lateral sclerosis. Acta Neuropathol. 2013, 125, 777–794. [Google Scholar] [CrossRef]
  167. Lee, Y.B.; Baskaran, P.; Gomez-Deza, J.; Chen, H.J.; Nishimura, A.L.; Smith, B.N.; Troakes, C.; Adachi, Y.; Stepto, A.; Petrucelli, L.; et al. C9orf72 poly GA RAN-translated protein plays a key role in amyotrophic lateral sclerosis via aggregation and toxicity. Hum. Mol. Genet. 2017, 26, 4765–4777. [Google Scholar] [CrossRef] [PubMed]
  168. Sorarú, G.; Orsetti, V.; Buratti, E.; Baralle, F.; Cima, V.; Volpe, M.; D’Ascenzo, C.; Palmieri, A.; Koutsikos, K.; Pegoraro, E.; et al. TDP-43 in skeletal muscle of patients affected with amyotrophic lateral sclerosis. Amyotroph. Lateral Scler. 2010, 11, 240–243. [Google Scholar] [CrossRef]
  169. Cykowski, M.D.; Powell, S.Z.; Appel, J.W.; Arumanayagam, A.S.; Rivera, A.L.; Appel, S.H. Phosphorylated TDP-43 (pTDP-43) aggregates in the axial skeletal muscle of patients with sporadic and familial amyotrophic lateral sclerosis. Acta Neuropathol. Commun. 2018, 6, 28. [Google Scholar] [CrossRef]
  170. Zhang, Q.J.; Lin, J.; Wang, Y.L.; Chen, L.; Ding, Y.; Zheng, F.Z.; Song, H.H.; Lv, A.W.; Li, Y.Y.; Guo, Q.F.; et al. Detection of pTDP-43 via routine muscle biopsy: A promising diagnostic biomarker for amyotrophic lateral sclerosis. Brain Pathol. 2024, 34, e13261. [Google Scholar] [CrossRef]
  171. Kurashige, T.; Morino, H.; Murao, T.; Izumi, Y.; Sugiura, T.; Kuraoka, K.; Kawakami, H.; Torii, T.; Maruyama, H. TDP-43 Accumulation Within Intramuscular Nerve Bundles of Patients with Amyotrophic Lateral Sclerosis. JAMA Neurol. 2022, 79, 693–701, Correction in JAMA Neurol. 2022, 79, 727. https://doi.org/10.1001/jamaneurol.2022.1883. [Google Scholar] [CrossRef]
  172. Cykowski, M.D.; Dickson, D.W.; Powell, S.Z.; Arumanayagam, A.S.; Rivera, A.L.; Appel, S.H. Dipeptide repeat (DPR) pathology in the skeletal muscle of ALS patients with C9ORF72 repeat expansion. Acta Neuropathol. 2019, 138, 667–670. [Google Scholar] [CrossRef]
  173. Turner, B.J.; Lopes, E.C.; Cheema, S.S. Neuromuscular accumulation of mutant superoxide dismutase 1 aggregates in a transgenic mouse model of familial amyotrophic lateral sclerosis. Neurosci. Lett. 2003, 350, 132–136. [Google Scholar] [CrossRef]
  174. Wong, M.; Martin, L.J. Skeletal muscle-restricted expression of human SOD1 causes motor neuron degeneration in transgenic mice. Hum. Mol. Genet. 2010, 19, 2284–2302. [Google Scholar] [CrossRef]
  175. Onesto, E.; Rusmini, P.; Crippa, V.; Ferri, N.; Zito, A.; Galbiati, M.; Poletti, A. Muscle cells and motoneurons differentially remove mutant SOD1 causing familial amyotrophic lateral sclerosis. J. Neurochem. 2011, 118, 266–280. [Google Scholar] [CrossRef]
  176. Crippa, V.; Boncoraglio, A.; Galbiati, M.; Aggarwal, T.; Rusmini, P.; Giorgetti, E.; Cristofani, R.; Carra, S.; Pennuto, M.; Poletti, A. Differential autophagy power in the spinal cord and muscle of transgenic ALS mice. Front. Cell. Neurosci. 2013, 7, 234. [Google Scholar] [CrossRef]
  177. Krasnianski, A.; Deschauer, M.; Neudecker, S.; Gellerich, F.N.; Müller, T.; Schoser, B.G.; Krasnianski, M.; Zierz, S. Mitochondrial changes in skeletal muscle in amyotrophic lateral sclerosis and other neurogenic atrophies. Brain 2005, 128, 1870–1876. [Google Scholar] [CrossRef]
  178. Crugnola, V.; Lamperti, C.; Lucchini, V.; Ronchi, D.; Peverelli, L.; Prelle, A.; Sciacco, M.; Bordoni, A.; Fassone, E.; Fortunato, F.; et al. Mitochondrial respiratory chain dysfunction in muscle from patients with amyotrophic lateral sclerosis. Arch. Neurol. 2010, 67, 849–854. [Google Scholar] [CrossRef] [PubMed]
  179. Ro, L.S.; Lai, S.L.; Chen, C.M.; Chen, S.T. Deleted 4977-bp mitochondrial DNA mutation is associated with sporadic amyotrophic lateral sclerosis: A hospital-based case-control study. Muscle Nerve 2003, 28, 737–743. [Google Scholar] [CrossRef] [PubMed]
  180. Hirano, M.; Angelini, C.; Montagna, P.; Hays, A.P.; Tanji, K.; Mitsumoto, H.; Gordon, P.H.; Naini, A.B.; DiMauro, S.; Rowland, L.P. Amyotrophic lateral sclerosis with ragged-red fibers. Arch. Neurol. 2008, 65, 403–406. [Google Scholar] [CrossRef] [PubMed]
  181. Afifi, A.K.; Aleu, F.P.; Goodgold, J.; MacKay, B. Ultrastructure of atrophic muscle in amyotrophic lateral sclerosis. Neurology 1966, 16, 475–481. [Google Scholar] [CrossRef]
  182. Sasaki, S.; Iwata, M. Ultrastructural study of synapses in the anterior horn neurons of patients with amyotrophic lateral sclerosis. Neurosci. Lett. 1996, 204, 53–56. [Google Scholar] [CrossRef]
  183. Chung, M.J.; Suh, Y.L. Ultrastructural changes of mitochondria in the skeletal muscle of patients with amyotrophic lateral sclerosis. Ultrastruct. Pathol. 2002, 26, 3–7. [Google Scholar] [CrossRef]
  184. Wiedemann, F.R.; Winkler, K.; Kuznetsov, A.V.; Bartels, C.; Vielhaber, S.; Feistner, H.; Kunz, W.S. Impairment of mitochondrial function in skeletal muscle of patients with amyotrophic lateral sclerosis. J. Neurol. Sci. 1998, 156, 65–72. [Google Scholar] [CrossRef]
  185. Siciliano, G.; Pastorini, E.; Pasquali, L.; Manca, M.L.; Iudice, A.; Murri, L. Impaired oxidative metabolism in exercising muscle from ALS patients. J. Neurol. Sci. 2001, 191, 61–65. [Google Scholar] [CrossRef]
  186. Finsterer, J. Lactate stress testing in sporadic amyotrophic lateral sclerosis. Int. J. Neurosci. 2005, 115, 583–591. [Google Scholar] [CrossRef] [PubMed]
  187. Russell, A.P.; Wada, S.; Vergani, L.; Hock, M.B.; Lamon, S.; Léger, B.; Ushida, T.; Cartoni, R.; Wadley, G.D.; Hespel, P.; et al. Disruption of skeletal muscle mitochondrial network genes and miRNAs in amyotrophic lateral sclerosis. Neurobiol. Dis. 2013, 49, 107–117. [Google Scholar] [CrossRef] [PubMed]
  188. Briones, M.R.S.; Campos, J.H.; Ferreira, R.C.; Schneper, L.; Santos, I.M.; Antoneli, F.M.; Broach, J.R. Mitochondrial genome variants associated with amyotrophic lateral sclerosis and their haplogroup distribution. Muscle Nerve 2024, 70, 862–872. [Google Scholar] [CrossRef]
  189. Doherty, C.M.; Morrow, J.M.; Zuccarino, R.; Howard, P.; Wastling, S.; Pipis, M.; Zafeiropoulos, N.; Stephens, K.J.; Grider, T.; Feely, S.M.E.; et al. Lower limb muscle MRI fat fraction is a responsive outcome measure in CMT X1, 1B and 2A. Ann. Clin. Transl. Neurol. 2024, 11, 607–617. [Google Scholar] [CrossRef] [PubMed]
  190. Tkotz, K.; Zeiger, P.; Hanspach, J.; Mathy, C.S.; Laun, F.B.; Uder, M.; Nagel, A.M.; Gast, L.V. Parameter optimization for proton density fat fraction quantification in skeletal muscle tissue at 7 T. Magn. Reson. Mater. Physics Biol. Med. 2024, 37, 969–981. [Google Scholar] [CrossRef]
  191. Hatzantonis, C.; Satkunam, L.; Rabey, K.N.; Hocking, J.C.; Agur, A.M.R. Fatty infiltration of gastrocnemius-soleus muscle complex: Considerations for myosteatosis rehabilitation. J. Anat. 2024, 245, 50–57. [Google Scholar] [CrossRef]
  192. Seibert, J.T.; Najt, C.P.; Heden, T.D.; Mashek, D.G.; Chow, L.S. Muscle Lipid Droplets: Cellular Signaling to Exercise Physiology and Beyond. Trends Endocrinol. Metab. 2020, 31, 928–938. [Google Scholar] [CrossRef]
  193. Zhou, B.; Zheng, Y.; Li, X.; Dong, H.; Yu, J.; Zou, Y.; Zhu, M.; Yu, Y.; Fang, X.; Zhou, M.; et al. FUS Mutation Causes Disordered Lipid Metabolism in Skeletal Muscle Associated with ALS. Mol. Neurobiol. 2022, 59, 7265–7277. [Google Scholar] [CrossRef]
  194. Watkins, J.A.; Alix, J.P.; Shaw, P.J.; Mead, R.J. Extensive phenotypic characterisation of a human TDP-43Q331K transgenic mouse model of amyotrophic lateral sclerosis (ALS). Sci. Rep. 2021, 11, 16659. [Google Scholar] [CrossRef]
  195. Cappello, V.; Francolini, M. Neuromuscular Junction Dismantling in Amyotrophic Lateral Sclerosis. Int. J. Mol. Sci. 2017, 18, 2092. [Google Scholar] [CrossRef]
  196. Bahia El Idrissi, N.; Bosch, S.; Ramaglia, V.; Aronica, E.; Baas, F.; Troost, D. Complement activation at the motor end-plates in amyotrophic lateral sclerosis. J. Neuroinflamm. 2016, 13, 72. [Google Scholar] [CrossRef]
  197. Kang, H.; Tian, L.; Mikesh, M.; Lichtman, J.W.; Thompson, W.J. Terminal Schwann cells participate in neuromuscular synapse remodeling during reinnervation following nerve injury. J. Neurosci. 2014, 34, 6323–6333. [Google Scholar] [CrossRef]
  198. Bjornskov, E.K.; Dekker, N.P.; Norris, F.H., Jr.; Stuart, M.E. End-plate morphology in amyotrophic lateral sclerosis. Arch. Neurol. 1975, 32, 711–712. [Google Scholar] [CrossRef] [PubMed]
  199. Bjorn Skov, E.K.; Norris, F.H., Jr.; Mower-Kuby, J. Quantitative axon terminal and end-plate morphology in amyotrophic lateral sclerosis. Arch. Neurol. 1984, 41, 527–530. [Google Scholar] [CrossRef]
  200. Tsujihata, M.; Hazama, R.; Yoshimura, T.; Satoh, A.; Mori, M.; Nagataki, S. The motor end-plate fine structure and ultrastructural localization of acetylcholine receptors in amyotrophic lateral sclerosis. Muscle Nerve 1984, 7, 243–249. [Google Scholar] [CrossRef] [PubMed]
  201. Yoshihara, T.; Ishii, T.; Iwata, M.; Nomoto, M. Ultrastructural and histochemical study of the motor end plates of the intrinsic laryngeal muscles in amyotrophic lateral sclerosis. Ultrastruct. Pathol. 1998, 22, 121–126. [Google Scholar] [CrossRef] [PubMed]
  202. Badu-Mensah, A.; Guo, X.; Nimbalkar, S.; Cai, Y.; Hickman, J.J. ALS mutations in both human skeletal muscle and motoneurons differentially affects neuromuscular junction integrity and function. Biomaterials 2022, 289, 121752. [Google Scholar] [CrossRef]
  203. Sengupta-Ghosh, A.; Dominguez, S.L.; Xie, L.; Barck, K.H.; Jiang, Z.; Earr, T.; Imperio, J.; Phu, L.; Budayeva, H.G.; Kirkpatrick, D.S.; et al. Muscle specific kinase (MuSK) activation preserves neuromuscular junctions in the diaphragm but is not sufficient to provide a functional benefit in the SOD1(G93A) mouse model of ALS. Neurobiol. Dis. 2019, 124, 340–352, Correction in Neurobiol. Dis. 2019, 132, 104558. https://doi.org/10.1016/j.nbd.2019.104558. [Google Scholar] [CrossRef]
  204. Okada, K.; Inoue, A.; Okada, M.; Murata, Y.; Kakuta, S.; Jigami, T.; Kubo, S.; Shiraishi, H.; Eguchi, K.; Motomura, M.; et al. The muscle protein Dok-7 is essential for neuromuscular synaptogenesis. Science 2006, 312, 1802–1805. [Google Scholar] [CrossRef] [PubMed]
  205. Ben Ammar, A.; Petit, F.; Alexandri, N.; Gaudon, K.; Bauché, S.; Rouche, A.; Gras, D.; Fournier, E.; Koenig, J.; Stojkovic, T.; et al. Phenotype genotype analysis in 15 patients presenting a congenital myasthenic syndrome due to mutations in DOK7. J. Neurol. 2010, 257, 754–766. [Google Scholar] [CrossRef] [PubMed]
  206. Tzartos, J.S.; Zisimopoulou, P.; Rentzos, M.; Karandreas, N.; Zouvelou, V.; Evangelakou, P.; Tsonis, A.; Thomaidis, T.; Lauria, G.; Andreetta, F.; et al. LRP4 antibodies in serum and CSF from amyotrophic lateral sclerosis patients. Ann. Clin. Transl. Neurol. 2014, 1, 80–87. [Google Scholar] [CrossRef]
  207. Rivner, M.H.; Liu, S.; Quarles, B.; Fleenor, B.; Shen, C.; Pan, J.; Mei, L. Agrin and low-density lipoprotein-related receptor protein 4 antibodies in amyotrophic lateral sclerosis patients. Muscle Nerve 2017, 55, 430–432. [Google Scholar] [CrossRef] [PubMed]
  208. von Kügelgen, N.; Ludwik, K.; Mendonsa, S.; Römer, C.; Becher, E.; Breimann, L.; Strauch, M.; Mari, T.; Mongellaz, S.; Zuckerman, B.; et al. Neuromuscular dysfunction in patient-derived FUSR244RR–ALS iPSC model via axonal downregulation of neuromuscular junction proteins. NAR Mol. Med. 2025, 2, ugaf005. [Google Scholar] [CrossRef]
  209. Pradat, P.F.; Barani, A.; Wanschitz, J.; Dubourg, O.; Lombès, A.; Bigot, A.; Mouly, V.; Bruneteau, G.; Salachas, F.; Lenglet, T.; et al. Abnormalities of satellite cells function in amyotrophic lateral sclerosis. Amyotroph. Lateral Scler. 2011, 12, 264–271. [Google Scholar] [CrossRef]
  210. Scaramozza, A.; Marchese, V.; Papa, V.; Salaroli, R.; Sorarù, G.; Angelini, C.; Cenacchi, G. Skeletal muscle satellite cells in amyotrophic lateral sclerosis. Ultrastruct. Pathol. 2014, 38, 295–302. [Google Scholar] [CrossRef]
  211. McLoon, L.K. A new role for satellite cells: Control of reinnervation after muscle injury by semaphorin 3A. Focus on “Possible implication of satellite cells in regenerative motoneuritogenesis: HGF upregulates neural chemorepellent Sema3A during myogenic differentiation”. Am. J. Physiol. Cell Physiol. 2009, 297, C227–C230. [Google Scholar]
  212. Yamada, M.; Tatsumi, R.; Yamanouchi, K.; Hosoyama, T.; Shiratsuchi, S.; Sato, A.; Mizunoya, W.; Ikeuchi, Y.; Furuse, M.; Allen, R.E. High concentrations of HGF inhibit skeletal muscle satellite cell proliferation in vitro by inducing expression of myostatin: A possible mechanism for reestablishing satellite cell quiescence in vivo. Am. J. Physiol. Cell Physiol. 2009, 298, C465–C476. [Google Scholar] [CrossRef]
  213. Liu, W.; Wei-LaPierre, L.; Klose, A.; Dirksen, R.T.; Chakkalakal, J.V. Inducible depletion of adult skeletal muscle stem cells impairs the regeneration of neuromuscular junctions. eLife 2015, 4, e09221. [Google Scholar] [CrossRef][Green Version]
  214. Ganassi, M.; Zammit, P.S. Involvement of muscle satellite cell dysfunction in neuromuscular disorders: Expanding the portfolio of satellite cell-opathies. Eur. J. Transl. Myol. 2022, 32, 10064. [Google Scholar] [CrossRef]
  215. Henze, H.; Hüttner, S.S.; Koch, P.; Schüler, S.C.; Groth, M.; von Eyss, B.; von Maltzahn, J. Denervation alters the secretome of myofibers and thereby affects muscle stem cell lineage progression and functionality. npj Regen. Med. 2024, 9, 10. [Google Scholar] [CrossRef]
  216. Li, X.; Rossi, F.M.V.; Rudnicki, M.A. Extraocular muscle satellite cells exhibit enhanced self-renewal and axonal guidance signatures in a SOD1G93A mouse model of ALS. Stem Cell Rep. 2024, 19, 451–467. [Google Scholar]
  217. Yoshida, G.J. Metabolic reprogramming: The emerging concept and associated therapeutic strategies. J. Exp. Clin. Cancer Res. 2015, 34, 111. [Google Scholar] [CrossRef] [PubMed]
  218. Kelly, B.; O’Neill, L.A. Metabolic reprogramming in macrophages and dendritic cells in innate immunity. Cell Res. 2015, 25, 771–784. [Google Scholar] [CrossRef] [PubMed]
  219. Jha, M.K.; Lee, I.K.; Suk, K. Metabolic reprogramming by the pyruvate dehydrogenase kinase-lactic acid axis: Linking metabolism and diverse neuropathophysiologies. Neurosci. Biobehav. Rev. 2016, 68, 1–19. [Google Scholar] [CrossRef] [PubMed]
  220. Szelechowski, M.; Amoedo, N.; Obre, E.; Léger, C.; Allard, L.; Bonneu, M.; Claverol, S.; Lacombe, D.; Oliet, S.; Chevallier, S.; et al. Metabolic Reprogramming in Amyotrophic Lateral Sclerosis. Sci. Rep. 2018, 8, 3953. [Google Scholar] [CrossRef]
  221. Pharaoh, G.; Sataranatarajan, K.; Street, K.; Hill, S.; Gregston, J.; Ahn, B.; Kinter, C.; Kinter, M.; Van Remmen, H. Metabolic and Stress Response Changes Precede Disease Onset in the Spinal Cord of Mutant SOD1 ALS Mice. Front. Neurosci. 2019, 13, 487. [Google Scholar] [CrossRef]
  222. Palamiuc, L.; Schlagowski, A.; Ngo, S.T.; Vernay, A.; Dirrig-Grosch, S.; Henriques, A.; Boutillier, A.L.; Zoll, J.; Echaniz-Laguna, A.; Loeffler, J.P.; et al. A metabolic switch toward lipid use in glycolytic muscle is an early pathologic event in a mouse model of amyotrophic lateral sclerosis. EMBO Mol. Med. 2015, 7, 526–546. [Google Scholar] [CrossRef]
  223. Scaricamazza, S.; Salvatori, I.; Amadio, S.; Nesci, V.; Torcinaro, A.; Giacovazzo, G.; Primiano, A.; Gloriani, M.; Candelise, N.; Pieroni, L.; et al. Repurposing of Trimetazidine for amyotrophic lateral sclerosis: A study in SOD1G93A mice. Br. J. Pharmacol. 2022, 179, 1732–1752. [Google Scholar] [CrossRef]
  224. Dobrowolny, G.; Lepore, E.; Martini, M.; Barberi, L.; Nunn, A.; Scicchitano, B.M.; Musarò, A. Metabolic Changes Associated with Muscle Expression of SOD1(G93A). Front. Physiol. 2018, 9, 831. [Google Scholar] [CrossRef]
  225. Elf, K.; Shevchenko, G.; Nygren, I.; Larsson, L.; Bergquist, J.; Askmark, H.; Artemenko, K. Alterations in muscle proteome of patients diagnosed with amyotrophic lateral sclerosis. J. Proteom. 2014, 108, 55–64. [Google Scholar] [CrossRef]
  226. Zufiría, M.; Pikatza-Menoio, O.; Garciandia-Arcelus, M.; Bengoetxea, X.; Jiménez, A.; Elicegui, A.; Levchuk, M.; Arnold-García, O.; Ondaro, J.; Iruzubieta, P.; et al. Dysregulated FOXO1 activity drives skeletal muscle intrinsic dysfunction in amyotrophic lateral sclerosis. Acta Neuropathol. 2024, 148, 43. [Google Scholar] [CrossRef]
  227. Sapaly, D.; Cheguillaume, F.; Weill, L.; Clerc, Z.; Biondi, O.; Bendris, S.; Buon, C.; Slika, R.; Piller, E.; Sundaram, V.K.; et al. Dysregulation of muscle cholesterol transport in amyotrophic lateral sclerosis. Brain 2024, 148, 788–802. [Google Scholar] [CrossRef]
  228. Rudnicki, M.A.; Le Grand, F.; McKinnell, I.; Kuang, S. The molecular regulation of muscle stem cell function. Cold Spring Harb. Symp. Quant. Biol. 2008, 73, 323–331. [Google Scholar] [CrossRef] [PubMed]
  229. Manzano, R.; Toivonen, J.M.; Oliván, S.; Calvo, A.C.; Moreno-Igoa, M.; Muñoz, M.J.; Zaragoza, P.; García-Redondo, A.; Osta, R. Altered expression of myogenic regulatory factors in the mouse model of amyotrophic lateral sclerosis. Neurodegener. Dis. 2011, 8, 386–396. [Google Scholar] [CrossRef] [PubMed]
  230. Giudice, J.; Taylor, J.M. Muscle as a paracrine and endocrine organ. Curr. Opin. Pharmacol. 2017, 34, 49–55. [Google Scholar] [CrossRef]
  231. Gomarasca, M.; Banfi, G.; Lombardi, G. Myokines: The endocrine coupling of skeletal muscle and bone. Adv. Clin. Chem. 2020, 94, 155–218. [Google Scholar] [PubMed]
  232. Chung, H.S.; Choi, K.M. Organokines in disease. Adv. Clin. Chem. 2020, 94, 261–321. [Google Scholar]
  233. Panati, K.; Suneetha, Y.; Narala, V.R. Irisin/FNDC5—An updated review. Eur. Rev. Med. Pharmacol. Sci. 2016, 20, 689–697. [Google Scholar]
  234. Lunetta, C.; Lizio, A.; Tremolizzo, L.; Ruscica, M.; Macchi, C.; Riva, N.; Weydt, P.; Corradi, E.; Magni, P.; Sansone, V. Serum irisin is upregulated in patients affected by amyotrophic lateral sclerosis and correlates with functional and metabolic status. J. Neurol. 2018, 265, 3001–3008. [Google Scholar] [CrossRef] [PubMed]
  235. Guha, A.; Si, Y.; Smith, R.; Kazamel, M.; Jiang, N.; Smith, K.A.; Thalacker-Mercer, A.; Singh, B.K.; Ho, R.; Andrabi, S.A.; et al. The myokine FGF21 associates with enhanced survival in ALS and mitigates stress-induced cytotoxicity. bioRxiv 2024. [Google Scholar] [CrossRef] [PubMed]
  236. Taetzsch, T.; Tenga, M.J.; Valdez, G. Muscle Fibers Secrete FGFBP1 to Slow Degeneration of Neuromuscular Synapses during Aging and Progression of ALS. J. Neurosci. 2017, 37, 70–82. [Google Scholar] [CrossRef]
  237. Allodi, I.; Comley, L.; Nichterwitz, S.; Nizzardo, M.; Simone, C.; Benitez, J.A.; Cao, M.; Corti, S.; Hedlund, E. Differential neuronal vulnerability identifies IGF-2 as a protective factor in ALS. Sci. Rep. 2016, 6, 25960. [Google Scholar] [CrossRef] [PubMed]
  238. Kingham, P.J.; Terenghi, G. Bioengineered nerve regeneration and muscle reinnervation. J. Anat. 2006, 209, 511–526. [Google Scholar] [CrossRef]
  239. Mills, R.; Taylor-Weiner, H.; Correia, J.C.; Agudelo, L.Z.; Allodi, I.; Kolonelou, C.; Martinez-Redondo, V.; Ferreira, D.M.S.; Nichterwitz, S.; Comley, L.H.; et al. Neurturin is a PGC-1α1-controlled myokine that promotes motor neuron recruitment and neuromuscular junction formation. Mol. Metab. 2018, 7, 12–22. [Google Scholar] [CrossRef]
  240. Gross, S.K.; Shim, B.S.; Bartus, R.T.; Deaver, D.; McEachin, Z.; Bétourné, A.; Boulis, N.M.; Maragakis, N.J. Focal and dose-dependent neuroprotection in ALS mice following AAV2-neurturin delivery. Exp. Neurol. 2020, 323, 113091. [Google Scholar] [CrossRef]
  241. Di Pietro, L.; Lattanzi, W.; Bernardini, C. Skeletal Muscle MicroRNAs as Key Players in the Pathogenesis of Amyotrophic Lateral Sclerosis. Int. J. Mol. Sci. 2018, 19, 1534. [Google Scholar] [CrossRef]
  242. Russell, A.P.; Ghobrial, L.; Ngo, S.; Yerbury, J.; Zacharewicz, E.; Chung, R.; Lamon, S. Dysregulation of microRNA biogenesis machinery and microRNA/RNA ratio in skeletal muscle of amyotrophic lateral sclerosis mice. Muscle Nerve 2018, 57, 838–847. [Google Scholar] [CrossRef]
  243. Gonzalez, D.; Contreras, O.; Rebolledo, D.L.; Espinoza, J.P.; van Zundert, B.; Brandan, E. ALS skeletal muscle shows enhanced TGF-β signaling, fibrosis and induction of fibro/adipogenic progenitor markers. PLoS ONE 2017, 12, e0177649. [Google Scholar] [CrossRef]
  244. Williams, A.H.; Valdez, G.; Moresi, V.; Qi, X.; McAnally, J.; Elliott, J.L.; Bassel-Duby, R.; Sanes, J.R.; Olson, E.N. MicroRNA-206 delays ALS progression and promotes regeneration of neuromuscular synapses in mice. Science 2009, 326, 1549–1554. [Google Scholar] [CrossRef] [PubMed]
  245. Wang, R.; Chen, L.; Zhang, Y.; Sun, B.; Liang, M. Expression Changes of miRNAs in Humans and Animal Models of Amyotrophic Lateral Sclerosis and Their Potential Application for Clinical Diagnosis. Life 2024, 14, 1125. [Google Scholar] [CrossRef]
  246. Tsitkanou, S.; Della Gatta, P.A.; Abbott, G.; Wallace, M.A.; Lindsay, A.; Gerlinger-Romero, F.; Walker, A.K.; Foletta, V.C.; Russell, A.P. miR-23a suppression accelerates functional decline in the rNLS8 mouse model of TDP-43 proteinopathy. Neurobiol. Dis. 2022, 162, 105559. [Google Scholar] [CrossRef]
  247. Quadros, A.R.A.A.; Li, Z.; Wang, X.; Ndayambaje, S.; Aryal, S.; Ramesh, N.; Nolan, M.; Jayakumar, R.; Han, Y.; Stillman, H.; et al. Cryptic splicing of stathmin-2 and UNC13A mRNAs is a pathological hallmark of TDP-43-associated Alzheimer’s disease. Acta Neuropathol. 2024, 147, 9. [Google Scholar] [CrossRef]
  248. Keuss, M.J.; Harley, P.; Ryadnov, E.; Jackson, R.E.; Zanovello, M.; Wilkins, O.G.; Barattucci, S.; Mehta, P.R.; Oliveira, M.G.; Parkes, J.E.; et al. Loss of TDP-43 induces synaptic dysfunction that is rescued by UNC13A splice-switching ASOs. bioRxiv 2024. [Google Scholar] [CrossRef]
  249. Bryce-Smith, S.; Brown, A.-L.; Chien, M.Z.Y.J.; Dattilo, D.; Mehta, P.R.; Mattedi, F.; Barattucci, S.; Mikheenko, A.; Zanovello, M.; Pellegrini, F.; et al. TDP-43 loss induces cryptic polyadenylation in ALS/FTD. Nat. Neurosci. 2025, 28, 2190–2200. [Google Scholar] [CrossRef] [PubMed]
  250. Fahrenkrog, B.; Harel, A. Perturbations in Traffic: Aberrant Nucleocytoplasmic Transport at the Heart of Neurodegeneration. Cells 2018, 7, 232. [Google Scholar] [CrossRef]
  251. Rothstein, J.D.; Keeley, O.; Warlick, C.; Miller, T.M.; Ly, C.V.; Glass, J.D.; Coyne, A.N. Sporadic ALS induced pluripotent stem cell derived neurons reveal hallmarks of TDP-43 loss of function. Nat. Commun. 2025, 16, 7092. [Google Scholar] [CrossRef]
  252. Militello, G.; Hosen, M.R.; Ponomareva, Y.; Gellert, P.; Weirick, T.; John, D.; Hindi, S.M.; Mamchaoui, K.; Mouly, V.; Döring, C.; et al. A novel long non-coding RNA Myolinc regulates myogenesis through TDP-43 and Filip1. J. Mol. Cell Biol. 2018, 10, 102–117. [Google Scholar] [CrossRef] [PubMed]
  253. Vogler, T.O.; Wheeler, J.R.; Nguyen, E.D.; Hughes, M.P.; Britson, K.A.; Lester, E.; Rao, B.; Betta, N.D.; Whitney, O.N.; Ewachiw, T.E.; et al. TDP-43 and RNA form amyloid-like myo-granules in regenerating muscle. Nature 2018, 563, 508–513. [Google Scholar] [CrossRef]
  254. Versluys, L.; Pereira, P.E.; Schuermans, N.; De Paepe, B.; De Bleecker, J.L.; Bogaert, E.; Dermaut, B. Expanding the TDP-43 Proteinopathy Pathway from Neurons to Muscle: Physiological and Pathophysiological Functions. Front. Neurosci. 2022, 16, 815765. [Google Scholar] [CrossRef]
  255. Zhuang, S.; Rastabi, N.H.; Robatjazi, S.; Podar, A.; Lindsay, A.; Gharibi, S.; Dunlop, F.; Davis, J.; Laird, C.; Walker, A.K.; et al. Skeletal muscle TDP-43 aggregation drives progressive motor dysfunction and neurodegeneration with potential for functional recovery after clearance. bioRxiv 2025. [Google Scholar] [CrossRef]
  256. Le Gall, L.; Duddy, W.J.; Martinat, C.; Mariot, V.; Connolly, O.; Milla, V.; Anakor, E.; Ouandaogo, Z.G.; Millecamps, S.; Lainé, J.; et al. Muscle cells of sporadic amyotrophic lateral sclerosis patients secrete neurotoxic vesicles. J. Cachexia Sarcopenia Muscle 2022, 13, 1385–1402. [Google Scholar] [CrossRef]
  257. McCluskey, G.; Morrison, K.E.; Donaghy, C.; Rene, F.; Duddy, W.; Duguez, S. Extracellular Vesicles in Amyotrophic Lateral Sclerosis. Life 2022, 13, 121. [Google Scholar] [CrossRef] [PubMed]
  258. Afonso, G.J.M.; Cavaleiro, C.; Valero, J.; Mota, S.I.; Ferreiro, E. Recent Advances in Extracellular Vesicles in Amyotrophic Lateral Sclerosis and Emergent Perspectives. Cells 2023, 12, 1763. [Google Scholar] [CrossRef] [PubMed]
  259. Anakor, E.; Milla, V.; Connolly, O.; Martinat, C.; Pradat, P.F.; Dumonceaux, J.; Duddy, W.; Duguez, S. The Neurotoxicity of Vesicles Secreted by ALS Patient Myotubes Is Specific to Exosome-Like and Not Larger Subtypes. Cells 2022, 11, 845. [Google Scholar] [CrossRef]
  260. Maffioletti, S.M.; Sarcar, S.; Henderson, A.B.H.; Mannhardt, I.; Pinton, L.; Moyle, L.A.; Steele-Stallard, H.; Cappellari, O.; Wells, K.E.; Ferrari, G.; et al. Three-Dimensional Human iPSC-Derived Artificial Skeletal Muscles Model Muscular Dystrophies and Enable Multilineage Tissue Engineering. Cell Rep. 2018, 23, 899–908. [Google Scholar] [CrossRef]
  261. Quarta, R.; Cristiano, E.; Han, M.K.L.; Boccanegra, B.; Marinelli, M.; Gaio, N.; Ohana, J.; Mouly, V.; Cappellari, O.; De Luca, A. Patient-Oriented In Vitro Studies in Duchenne Muscular Dystrophy: Validation of a 3D Skeletal Muscle Organoid Platform. Biomedicines 2025, 13, 1109. [Google Scholar] [CrossRef]
  262. Faustino Martins, J.-M.F.; Fischer, C.; Urzi, A.; Vidal, R.; Kunz, S.; Ruffault, P.-L.; Kabuss, L.; Hube, I.; Gazzerro, E.; Birchmeier, C.; et al. Self-Organizing 3D Human Trunk Neuromuscular Organoids. Cell Stem Cell 2020, 26, 172–186.e6. [Google Scholar] [CrossRef]
  263. Fogarty, M.J.; Kanjhan, R.; Bellingham, M.C.; Noakes, P.G. Glycinergic Neurotransmission: A Potent Regulator of Embryonic Motor Neuron Dendritic Morphology and Synaptic Plasticity. J. Neurosci. 2016, 36, 80–87. [Google Scholar] [CrossRef]
  264. Banks, G.B.; Kanjhan, R.; Wiese, S.; Kneussel, M.; Wong, L.M.; O’Sullivan, G.; Sendtner, M.; Bellingham, M.C.; Betz, H.; Noakes, P.G. Glycinergic and GABAergic synaptic activity differentially regulate motoneuron survival and skeletal muscle innervation. J. Neurosci. 2005, 25, 1249–1259. [Google Scholar] [CrossRef]
  265. Liu, Q.; Wong-Riley, M.T. Postnatal development of Na+-K+-2Cl co-transporter 1 (NKCC1) and K+-Clco-transporter 2 (KCC2) immunoreactivity in multiple brain stem respiratory nuclei of the rat. Neuroscience 2012, 210, 1–20. [Google Scholar] [CrossRef]
  266. Takahashi, T.; Momiyama, A.; Hirai, K.; Hishinuma, F.; Akagi, H. Functional correlation of fetal and adult forms of glycine receptors with developmental changes in inhibitory synaptic receptor channels. Neuron 1992, 9, 1155–1161. [Google Scholar] [CrossRef]
  267. Ishikawa, T.; Kaneko, M.; Shin, H.-S.; Takahashi, T. Presynaptic N-type and P/Q-type Ca2+ channels mediating synaptic transmission at the calyx of Held of mice. J. Physiol. 2005, 568, 199–209. [Google Scholar] [CrossRef] [PubMed]
  268. Missias, A.C.; Chu, G.C.; Klocke, B.J.; Sanes, J.R.; Merlie, J.P. Maturation of the acetylcholine receptor in skeletal muscle: Regulation of the AChR gamma-to-epsilon. Dev. Biol. 1996, 179, 223–238. [Google Scholar] [CrossRef] [PubMed]
  269. Pereira, J.D.; DuBreuil, D.M.; Devlin, A.-C.; Held, A.; Sapir, Y.; Berezovski, E.; Hawrot, J.; Dorfman, K.; Chander, V.; Wainger, B.J. Human sensorimotor organoids derived from healthy and amyotrophic lateral sclerosis stem cells form neuromuscular junctions. Nat. Commun. 2021, 12, 4744. [Google Scholar] [CrossRef] [PubMed]
  270. Yang, J.-L.; Qian, S.-Y.; Chen, M.-L.; Wang, L.-X.; Wang, Y.; Liu, J.-J.; Xi, C.-S.; Yang, Y.-X.; Li, Y.; Gao, C.; et al. Skeletal muscle, neuromuscular organoids and assembloids: A scoping review. eBioMedicine 2025, 118, 105825. [Google Scholar] [CrossRef]
  271. Rhine, K.; Li, R.; Kopalle, H.M.; Rothamel, K.; Ge, X.; Epstein, E.; Mizrahi, O.; Madrigal, A.A.; Her, H.-L.; Gomberg, T.A.; et al. Neuronal aging causes mislocalization of splicing proteins and unchecked cellular stress. Nat. Neurosci. 2025, 28, 1174–1184. [Google Scholar] [CrossRef]
  272. Mengistu, D.Y.; Terribili, M.; Pellacani, C.; Ciapponi, L.; Marzullo, M. Epigenetic regulation of TDP-43: Potential implications for amyotrophic lateral sclerosis. Front. Mol. Med. 2025, 5, 1530719. [Google Scholar] [CrossRef]
  273. Wong, J.P.H.; Blazev, R.; Ng, Y.-K.; Goodman, C.A.; Montgomery, M.K.; Watt, K.I.; Carl, C.S.; Watt, M.J.; Voldstedlund, C.T.; Richter, E.A.; et al. Characterization of the skeletal muscle arginine methylome in health and disease reveals remodeling in amyotrophic lateral sclerosis. FASEB J. 2024, 38, e23647. [Google Scholar] [CrossRef] [PubMed]
  274. Gao, J.; Sterling, E.; Hankin, R.; Sikal, A.; Yao, Y. Therapeutics Targeting Skeletal Muscle in Amyotrophic Lateral Sclerosis. Biomolecules 2024, 14, 878. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Hierarchical structure of skeletal muscle and sarcomere organization. Skeletal muscle comprises bundles of muscle fibers (myofibers), which are multinucleated cells formed through the fusion of myoblasts. Each muscle fiber contains longitudinally arranged myofibrils, composed of repeating sarcomeres that serve as the basic contractile units of muscle. In the magnified panel, thick filaments (myosin) are centrally located, while thin filaments (actin) extend from the Z-lines toward the center. Myosin heads interact with actin filaments to facilitate contraction via the sliding filament mechanism. This schematic illustrates the structural organization of muscle from the tissue level to its molecular components. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/g1c41uu (accessed on 9 March 2026).
Figure 1. Hierarchical structure of skeletal muscle and sarcomere organization. Skeletal muscle comprises bundles of muscle fibers (myofibers), which are multinucleated cells formed through the fusion of myoblasts. Each muscle fiber contains longitudinally arranged myofibrils, composed of repeating sarcomeres that serve as the basic contractile units of muscle. In the magnified panel, thick filaments (myosin) are centrally located, while thin filaments (actin) extend from the Z-lines toward the center. Myosin heads interact with actin filaments to facilitate contraction via the sliding filament mechanism. This schematic illustrates the structural organization of muscle from the tissue level to its molecular components. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/g1c41uu (accessed on 9 March 2026).
Ijms 27 02802 g001
Figure 2. Cellular composition of skeletal muscle and localization of muscle satellite cells. In addition to myofibers, skeletal muscle contains several other cell types, including satellite cells (muscle stem cells), immune cells, fibroblasts, pericytes, and mesangioblasts. These cells play a crucial role in tissue maintenance and regeneration. Satellite cells, located beneath the basal lamina but outside the sarcolemma, are the primary stem cell population responsible for muscle repair following injury. They are identified by high expression of the transcription factor PAX7, which maintains their quiescence under normal physiological conditions. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/hsi5qor (accessed on 9 March 2026).
Figure 2. Cellular composition of skeletal muscle and localization of muscle satellite cells. In addition to myofibers, skeletal muscle contains several other cell types, including satellite cells (muscle stem cells), immune cells, fibroblasts, pericytes, and mesangioblasts. These cells play a crucial role in tissue maintenance and regeneration. Satellite cells, located beneath the basal lamina but outside the sarcolemma, are the primary stem cell population responsible for muscle repair following injury. They are identified by high expression of the transcription factor PAX7, which maintains their quiescence under normal physiological conditions. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/hsi5qor (accessed on 9 March 2026).
Ijms 27 02802 g002
Figure 3. Structure and molecular features of the neuromuscular junction (NMJ). The NMJ is a specialized synapse where α-motor neurons connect with skeletal muscle fibers. It includes the presynaptic nerve terminal, the synaptic cleft, and the postsynaptic muscle membrane, which is enriched with acetylcholine receptors (AChRs). These receptors are clustered by rapsyn and stabilized by the LRP4–MuSK–DOK7 signaling complex. The synaptic cleft contains a specialized basal lamina with molecules such as synaptic laminins (Laminin) and agrin. Agrin binds to LRP4 and activates MuSK, promoting AChR clustering and maintaining the NMJ. Junctional folds in the postsynaptic membrane concentrate AChRs at the crests and voltage-gated Na+ channels (Nav) in the troughs, enhancing synaptic efficiency. Terminal Schwann cells, shown capping the nerve terminal, contribute to synaptic maintenance, repair, and plasticity. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/t4q65dl (accessed on 9 March 2026).
Figure 3. Structure and molecular features of the neuromuscular junction (NMJ). The NMJ is a specialized synapse where α-motor neurons connect with skeletal muscle fibers. It includes the presynaptic nerve terminal, the synaptic cleft, and the postsynaptic muscle membrane, which is enriched with acetylcholine receptors (AChRs). These receptors are clustered by rapsyn and stabilized by the LRP4–MuSK–DOK7 signaling complex. The synaptic cleft contains a specialized basal lamina with molecules such as synaptic laminins (Laminin) and agrin. Agrin binds to LRP4 and activates MuSK, promoting AChR clustering and maintaining the NMJ. Junctional folds in the postsynaptic membrane concentrate AChRs at the crests and voltage-gated Na+ channels (Nav) in the troughs, enhancing synaptic efficiency. Terminal Schwann cells, shown capping the nerve terminal, contribute to synaptic maintenance, repair, and plasticity. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/t4q65dl (accessed on 9 March 2026).
Ijms 27 02802 g003
Figure 4. Multi-modal biomarker assessment in ALS muscle pathology. Schematic illustration of biomarker modalities for assessing muscle pathology in amyotrophic lateral sclerosis (ALS). The central limb represents clinical muscle weakness and wasting in patients with ALS. (Top Left) Biochemical biomarkers—elevated creatine kinase (CK; ~50% of patients), increased serum lactate, and altered myokines (irisin and FGF21). (Top Center) Clinical examination—visible atrophy, weakness, and fasciculations. (Top Right) Histopathology—muscle biopsy revealing fiber type grouping, denervation atrophy, inflammatory infiltrates (CD68+ macrophages and CD4+ T cells), COX-negative fibers, and abnormal protein accumulation (TDP-43 and SOD1). (Bottom Right) MRI—progressive muscle atrophy, fatty infiltration, and increased T2 signal indicating acute denervation; quantitative MRI tracks disease progression. (Bottom Left) Electrophysiology—EMG showing fasciculations, fibrillations, and enlarged motor units; neuromuscular junction instability with decremental responses; and motor unit number estimation (MUNE) documenting progressive motor unit decline. These complementary modalities enable comprehensive assessment of ALS muscle pathology for diagnosis, disease monitoring, and therapeutic evaluation. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/66ho01r (accessed on 9 March 2026).
Figure 4. Multi-modal biomarker assessment in ALS muscle pathology. Schematic illustration of biomarker modalities for assessing muscle pathology in amyotrophic lateral sclerosis (ALS). The central limb represents clinical muscle weakness and wasting in patients with ALS. (Top Left) Biochemical biomarkers—elevated creatine kinase (CK; ~50% of patients), increased serum lactate, and altered myokines (irisin and FGF21). (Top Center) Clinical examination—visible atrophy, weakness, and fasciculations. (Top Right) Histopathology—muscle biopsy revealing fiber type grouping, denervation atrophy, inflammatory infiltrates (CD68+ macrophages and CD4+ T cells), COX-negative fibers, and abnormal protein accumulation (TDP-43 and SOD1). (Bottom Right) MRI—progressive muscle atrophy, fatty infiltration, and increased T2 signal indicating acute denervation; quantitative MRI tracks disease progression. (Bottom Left) Electrophysiology—EMG showing fasciculations, fibrillations, and enlarged motor units; neuromuscular junction instability with decremental responses; and motor unit number estimation (MUNE) documenting progressive motor unit decline. These complementary modalities enable comprehensive assessment of ALS muscle pathology for diagnosis, disease monitoring, and therapeutic evaluation. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/66ho01r (accessed on 9 March 2026).
Ijms 27 02802 g004
Figure 5. miR-206 signaling in ALS skeletal muscle. In ALS, skeletal muscle shows both degenerative changes and compensatory repair mechanisms. One key molecular response involves the upregulation of miR-206, a muscle-specific microRNA that is associated with muscle regeneration. MyoD transcriptionally activates miR-206 following denervation and promotes re-innervation by suppressing histone deacetylase 4 (HDAC4). Reduced HDAC4 activity leads to increased expression of fibroblast growth factor binding protein 1 (FGFBP1), which enhances FGF signaling and supports synaptic repair. This pathway has been shown to delay disease progression in SOD1G93A mouse models, highlighting miR-206 as a potential therapeutic target. Adapted from Williams et al., 2009 [244], and created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/7n5l6hc (accessed on 9 March 2026).
Figure 5. miR-206 signaling in ALS skeletal muscle. In ALS, skeletal muscle shows both degenerative changes and compensatory repair mechanisms. One key molecular response involves the upregulation of miR-206, a muscle-specific microRNA that is associated with muscle regeneration. MyoD transcriptionally activates miR-206 following denervation and promotes re-innervation by suppressing histone deacetylase 4 (HDAC4). Reduced HDAC4 activity leads to increased expression of fibroblast growth factor binding protein 1 (FGFBP1), which enhances FGF signaling and supports synaptic repair. This pathway has been shown to delay disease progression in SOD1G93A mouse models, highlighting miR-206 as a potential therapeutic target. Adapted from Williams et al., 2009 [244], and created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/7n5l6hc (accessed on 9 March 2026).
Ijms 27 02802 g005
Figure 6. Extracellular vesicle-mediated neurotoxicity in ALS muscle. EV biogenesis, cargo, and pathogenic effects in ALS. (A) Multivesicular bodies (MVBs) fuse with the muscle fiber membrane, releasing CD63+ EVs. (B) EVs contain pathological cargo: misfolded TDP-43, microRNAs (miR-206, miR-23A), mitochondrial DNA, and inflammatory cytokines (IL-1β, CCL2). (C) EVs are taken up at the neuromuscular junction and undergo retrograde transport to motor neurons, where toxic cargo induces protein aggregation, mitochondrial damage, and neuronal degeneration, contributing to ALS pathogenesis through muscle-to-neuron signaling. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/7w77vxu (accessed on 9 March 2026).
Figure 6. Extracellular vesicle-mediated neurotoxicity in ALS muscle. EV biogenesis, cargo, and pathogenic effects in ALS. (A) Multivesicular bodies (MVBs) fuse with the muscle fiber membrane, releasing CD63+ EVs. (B) EVs contain pathological cargo: misfolded TDP-43, microRNAs (miR-206, miR-23A), mitochondrial DNA, and inflammatory cytokines (IL-1β, CCL2). (C) EVs are taken up at the neuromuscular junction and undergo retrograde transport to motor neurons, where toxic cargo induces protein aggregation, mitochondrial damage, and neuronal degeneration, contributing to ALS pathogenesis through muscle-to-neuron signaling. Created in BioRender. Yarlagadda, S. (2026) https://BioRender.com/7w77vxu (accessed on 9 March 2026).
Ijms 27 02802 g006
Table 1. Reports of pathological findings in ALS muscle.
Table 1. Reports of pathological findings in ALS muscle.
Author, DateNo of ALS SubjectsNo of Controls; Type of ControlsFindings in ALSRefs.
Haase and Shy, 1960 1417; Charcot–Marie–Tooth diseaseGroups of small fibers, 20% showed inflammation.[126]
Anderson 1967 24324; various disordersSmall group atrophy, large group atrophy, angulated fibers, abnormal motor endplates.[119]
Brooke, 1969 18283; various disordersGreater atrophy of Type I fibers.[124,127]
Mastaglia 1971631; spinal muscular atrophy, peripheral neuropathyDenervation and atrophy.[128]
Dastur 197321238; muscular dystrophies and other diseasesDenervation changes.[129]
Achari 1974111NilAtrophy of single fibers, group atrophy, majority showed denervation, 11 showed mononuclear infiltrate.[98]
Fidzianska 1976 54; early onset spinal muscular atrophyAtrophy of muscle fibers.[130]
Telerman-Toppet 197818 12; Charcot Marie Tooth diseaseGroup atrophy, loss of Type II fibers, increased intermediate type fibers.[120]
Patten 1979 24NilGrouped Type I fibers, Type I fiber atrophy correlated with severity.[125]
Froes 1987 2020; healthy controlsDenervation and re-innervation, increased connective tissue, increased variation in fiber size.[131]
Iwasaki 1991 2420; healthy controlsNo change in the ratio of Type 1 to Type II fibers.[123]
Maselli, 1993 100Grouped atrophy, Type I fiber predominance. [105]
Baloh 2007 921; variousGrouped atrophy, no change in fiber type proportions[132]
Al Sarraj 2014 3120; healthy controlsAtrophy, 6/31 had inflammation, 4/31 had Cox negative
fibers, none showed TDP43 pathology.
[121]
Jensen 2016 52; healthy controlsDenervation, atrophy increased over 12 weeks, lack of activation of satellite cells, trend to loss of Type II fibers over time.[122]
Ding 2022 63; non-MNDDenervation, increased Type 1 fibers, small fibers in ALS.[18]
Table 2. Method used in Pathological findings in ALS muscle.
Table 2. Method used in Pathological findings in ALS muscle.
Author, DateStaining TechniquesMethodsRefs.
Haase and Shy
1960
Paraffin sections, H&E, Gomori trichromePresence or absence of isolated lesions, group lesions, architectural changes, phagocytosis and inflammation, basophilia and prominent nucleoli,
endomysial collagen, increased endomysial fat, increased internal nuclei.
[126]
Anderson 1967Paraffin & frozen sections, H&E, Gomori trichrome, Bielschowsky, enzyme histochemistryScoring of: fiber size, sarcoplasm and nuclei, abnormalities of supporting
tissue.
[119]
Brooke, 1969 Frozen sections, ATPase stainingMeasurement of fiber size.[124,127]
Mastaglia 1971 Paraffin & frozen sections. H&E, picro-Mallory and phosphotungstic acid haematoxylm 21 (PTAH). Sudan black (neutral fat), succinic de-hydrogenase, myosin ATPase and acid phosphatase The number of necrotic fibers, regenerating fibers, fibers with internal nuclei and fibers with enlarged vesicular nuclei in this sample of 100 fibers was then estimated. The severity of other changes such as nuclear clumping and chain formation. Increase in fat and connective tissue and inflammatory infiltrates, degree of grouped atrophy and the numbers of randomly distributed presumably denervated fibers were assessed subjectively.[128]
Dastur 1973 Paraffin & frozen sections, H&E, Picro-Mallory, enzyme histochemistry, SDHMeasurement of fiber size, assessment of group atrophy, percentage of Type I and Type II fibers.[129]
Achari 1974H&E and other stainsEvaluation of changes in fibers, nuclei, and connective tissue; presence of cellular infiltrate.[98]
Fidzianska 1976Epoxy sections, methylene blue stainingAssessment of atrophy and degeneration.[130]
Telerman-Toppet 1978Methylene blue staining, ATPase and NADH diaphorase stainingProportions of fibers types, fiber type grouping, atrophy.[120]
Patten 1979ATPase and Electron microscopyAtrophy, group atrophy, fiber type numbers.[125]
Froes 1987H&E, Masson’s trichrome,
modified Gomori trichrome,
NADH-TR,
SDH, non-specific
esterase, ATPase
Qualitative assessment by recording the presence of central nuclei, split fibers, degenerating or regenerating fibers, structural changes within muscle fibers (targets, ‘moth-eaten’ and ring binden), hypertrophic or atrophic fibers (scattered or grouped), and fiber type grouping. Each parameter was graded from 0 (not present) to ++++ (greater than 50 fibers affected).[131]
Iwasaki 1991H&E, Gomori trichrome, ATPaseQualitative assessment of central nuclei, split fibers, degeneration or regenerating fibers, structural changes within muscle fibers (target, moth-eaten and ring fiber), hypertrophic and atrophic fibers (scattered or grouped). Each parameter was graded from 0 (not present) to +++ (greater than 30 fibers
affected).
[123]
Baloh 2007ATPase stainingThe frequency of groups of atrophic fibers was defined by the mean number per high-power field (HPF, 20× magnification). The number of atrophic fibers in each group were counted, and groups were scored as containing either a single fiber type (I or II) or mixed fiber types on myosin ATPase staining.[132]
Al Sarraj 2014H&E, ATPase, NADH-TR, SDH, COX, Gomori trichrome, acid phosphatase
Periodic acid-Schiff, myo-phosphorylase, Sudan Black.
Immune staining for P62, lymphocytes, complement
Examined for small angular fibers, grouped atrophy, fiber type grouping. Scored for presence or absence of neurogenic changes, inflammation, necrosis, COX negative fibers, HLA, C5b-9, P62 and TDP 43. [121]
Jensen 2016H&E, myosin heavy chain, PAX7, C68 stainingQuantitation of stained cells.[122]
Ding 2022H&E and myosin heavy chain stainingQuantification of fast and slow fibers, fiber type grouping, muscle fiber diameter, small angular fibers.[18]
Table 3. Reports of pathological changes at the NMJ in human subjects with ALS.
Table 3. Reports of pathological changes at the NMJ in human subjects with ALS.
Author, DateNo of ALS SubjectsNo of Controls; Type of ControlsType of SampleFindings in ALSRef.
Bjornskov 197521
(267 endplates)
5
(120 endplates)
Intercostal muscle biopsyEnlarged, segmented motor endplates in ALS.[198]
Bjorn Skov 1984 467 endplates600 endplatesIntercostal muscle biopsySegmented endplates.[199]
Tsujihata 198411
(74 endplates)
0Biceps brachii muscle biopsyLoss of nerve terminals in 33% of motor endplates in ALS.[200]
Yoshihara 19984
(Endplate number not specified)
3 normal controls
(Endplate number not specified)
Laryngeal muscle from laryngectomyIn ALS: some NMJs showed absent nerve terminal, flattened synaptic clefts and intrusion of Schwann cells. [201]
Bruneteau 20159
(430 NMJs)
0Deltoid or anconeus muscle biopsyIn ALS, denervation of 19% of endplates, 56% of innervated endplates showed re-innervation, intrusion of terminal Schwann cells into synaptic clefts.[96]
Bahia 201611
(No of endplates not stated)
6 normal controls
(No of endplates not stated)
Post-mortem intercostal muscleFewer and smaller endplates in ALS, with complement deposition.[196]
Ding 20223
(77 NMJs)
5 non-MNDs
(55 NMJs)
Vastus lateralis and deltoid muscle biopsiesSmaller motor nerve boutons, loss of nerve terminal area over the motor endplate, which led to a drop in the % of motor nerve terminal to AChR overlap. Evidence of terminal Schwan cell intrusion into the synaptic cleft. De-localization of MuSK from the motor endplate.[18]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Katz, M.; Robertson, T.; Ngo, S.T.; Yarlagadda, S.; Henderson, R.D.; McCombe, P.A.; Noakes, P.G. Review of the Pathology of Muscle in Amyotrophic Lateral Sclerosis. Int. J. Mol. Sci. 2026, 27, 2802. https://doi.org/10.3390/ijms27062802

AMA Style

Katz M, Robertson T, Ngo ST, Yarlagadda S, Henderson RD, McCombe PA, Noakes PG. Review of the Pathology of Muscle in Amyotrophic Lateral Sclerosis. International Journal of Molecular Sciences. 2026; 27(6):2802. https://doi.org/10.3390/ijms27062802

Chicago/Turabian Style

Katz, Matthew, Thomas Robertson, Shyuan T. Ngo, Sai Yarlagadda, Robert D. Henderson, Pamela A. McCombe, and Peter G. Noakes. 2026. "Review of the Pathology of Muscle in Amyotrophic Lateral Sclerosis" International Journal of Molecular Sciences 27, no. 6: 2802. https://doi.org/10.3390/ijms27062802

APA Style

Katz, M., Robertson, T., Ngo, S. T., Yarlagadda, S., Henderson, R. D., McCombe, P. A., & Noakes, P. G. (2026). Review of the Pathology of Muscle in Amyotrophic Lateral Sclerosis. International Journal of Molecular Sciences, 27(6), 2802. https://doi.org/10.3390/ijms27062802

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop