Abstract
Spinal muscular atrophy (SMA) is an autosomal recessive motor neuron disease of variable clinical severity that is caused by mutations in the survival motor neuron 1 (SMN1) gene. Despite its name, SMN is a ubiquitous protein that functions within and outside the nervous system and has multiple cellular roles in transcription, translation, and proteostatic mechanisms. Encouragingly, several SMN-directed therapies have recently reached the clinic, albeit this has highlighted the increasing need to develop combinatorial therapies for SMA to achieve full clinical efficacy. As a subcellular site of dysfunction in SMA, mitochondria represents a relevant target for a combinatorial therapy. Accordingly, we will discuss our current understanding of mitochondrial dysfunction in SMA, highlighting mitochondrial-based pathways that offer further mechanistic insights into the involvement of mitochondria in SMA. This may ultimately facilitate translational development of targeted mitochondrial therapies for SMA. Due to clinical and mechanistic overlaps, such strategies may also benefit other motor neuron diseases and related neurodegenerative disorders.
Keywords: Survival motor neuron, Mitochondrial dysfunction, Mitophagy, Combinatorial therapy, Motor neuron disease, Neurodegenerative disorders
Introduction
Spinal muscular atrophy (SMA) is a monogenetic motor neuron disease on the verge of being redefined, largely due to notable therapeutic breakthroughs over the last decade. SMA is caused by mutations in the survival motor neuron 1 (SMN1) gene, leading to loss of its SMN protein product [1] (Fig. 1a). Due to a complex, highly repeated DNA sequence, the human genome contains an inverted duplication in the SMN region of chromosome 5, producing the near-identical duplicate gene, SMN2. A single nucleotide polymorphism in exon 7 of SMN2 leads to removal of exon 7 in 80–90% of transcripts; this truncated transcript is unstable and quickly degraded [2, 3]. SMN2 is therefore unable to compensate for mutated SMN1 leading to suboptimal levels of SMN protein. Humans have variable copy numbers of the SMN2 gene (again due to the repeating nature of this region of chromosome 5), and increased copy numbers of SMN2 can partially compensate for SMN1 mutation. This is reflected in time of onset and severity of symptoms in patients [4].
Patients have traditionally been grouped into sub-types of SMA with disease severity and motor milestones influenced by SMN2 copy number [5] (Fig. 1b). Type 0 patients have one copy of SMN2, with prenatal motor weakness, paralysis, and death weeks after birth. Type 1 patients are more common, with two copies of SMN2 and obvious motor symptoms within the first few months of life as they do not develop head control. Untreated, Type 1 patients have a life expectancy of around 2 years. Patients with three copies of SMN2 are characterised as Type 2, with symptom onset between 6 months and 2 years and development of motor skills such as sitting and possibly standing. Type 3 patients develop motor symptoms after 18 months old, have three or four copies of SMN2, and are likely to reach the motor milestone of unassisted walking and have a normal lifespan [6]. These SMA patient sub-types are based on the natural history of the disease. However, we have reached a new therapeutic era for SMA, with the approval and licencing of three genetic therapies: Spinraza® is an antisense oligonucleotide that modulates splicing of SMN2 to increase SMN production [7]; Zolgensma® is a viral vector that introduces a second copy of SMN1 to boost SMN expression [8]; and Evrysdi® is a small molecule that also alters SMN2 splicing [9]. Treatment with any one of these therapies significantly extends the time to invasive respiratory ventilation and life expectancy for many patients with SMA (most trials to date have been conducted in Type 1 patients). However, emerging evidence from patients treated with these “SMN-replacement” therapies reveals an ongoing loss of function and continued presence of neuromuscular symptoms [10]. Children treated earlier, before motor symptoms develop, have the highest chance of achieving successive motor milestones, while children who are treated at a later disease time point continue to be at high risk of needing supported ventilation [11] and enteral feeding [12]. The effect of these therapies in adults with Types 2/3 SMA is even less clear, not least because of the heterogeneity of clinical symptoms and small patient group sizes. Nevertheless, there is some evidence of stabilisation or even improvement in motor symptoms in adult patients [13]. Thus, there is a growing body of evidence indicating that replacing SMN protein levels in patients can only go part-way to relieving symptoms due to affected tissues being too far down the degeneration pathway [14]. SMN-independent therapies are therefore needed to act in concert with SMN-replacement and further benefit patients with SMA (e.g., “SMN + therapies” [15]).
As a multi-systemic disorder, SMA affects many cell types since SMN protein is ubiquitously expressed throughout the body [16]. Undoubtedly though, motor neurons and muscle cells are a predominant site of cellular pathology. Neurons and muscle cells are in turn two of the most energy-dependent cells within the body; therefore, as mitochondria are primarily known for their role in energy and metabolic pathways, it is not hard to envision their involvement in SMA based upon this role. Yet mitochondria are no longer viewed solely as the ‘powerhouse’ of the cell and are implicated in many other aspects of cellular function that intersect with the aetiology of SMA and known roles of the SMN protein. Initially, SMN protein was reported to function in transcriptional processes but is now known to also play roles in protein translation and related proteostatic mechanisms such as autophagy and ubiquitination [17]. Dissecting these varied functions of SMN across a disease of heterogenous expression has been made possible through the development of animal models of varying severity (e.g., severe, intermediate, and mild mouse models, reflecting Types 1, 2, and 3/4 in patients, respectively) [18, 19]. By providing an overview of the mitochondrial dysfunction in SMA, our intention is to guide molecular mechanistic understanding and aid translational targeting of mitochondria, which offer many routes for complementary therapeutic interventions to current SMN-replacement therapies.
Mitochondrial dysfunction in SMA
Mitochondrial respiration and oxidative phosphorylation
Mitochondrial respiration refers to the set of metabolic reactions and processes that require oxygen to generate ATP. Of this process, oxidative phosphorylation mediated via the electron transport chain (ETC; complexes I–V) is the final step. Unsurprisingly, energetic disturbances suggestive of underlying mitochondrial dysfunction are present in muscle biopsies from patients with SMA (Table 1). Overall, SMA muscle pathology is associated with a decrease in mitochondrial respiration, reduced activity in oxidative phosphorylation enzymes, and a concomitant reduction in expression of both nuclear-encoded and mitochondrial-encoded subunits of the oxidative phosphorylation machinery [20–24]. This energetic disturbance has since been corroborated in various animal and cell culture models [25–31]. Interestingly, SMA patient-derived myoblasts and differentiated myotubes showed an intrinsic energy deficit characterised by increased reliance on mitochondrial ATP production [29], that may be borne out in patients with Type 3 SMA [32]. Taken together, these studies reveal a deficit in oxidative phosphorylation activity in tissue and cells relevant to SMA pathology. Moreover, these deficits are evident across the clinical spectrum of SMA and are not solely a feature of the more severe (i.e., Type 1) phenotype.
Table 1.
SMA type/model | Respiration rate | Cellular ATP levels | Enzyme activity | Enzyme | Transcript expression | Transcripts | Protein expression | Proteins | References |
---|---|---|---|---|---|---|---|---|---|
Patient skeletal muscle fibres: vastus lateralis of quadriceps (SMA type unknown; mean age 5.8 years) | Reduced | Reduced | Complex I; II–III; IV; PDHC; citrate synthase | [20] | |||||
Patient skeletal muscle (Types 1–3) | Reduced | Complex II; IV; citrate synthase | Reduced | MT-CO1; COX4 | [21] | ||||
Patient muscle (muscle group and SMA type unknown; mean age 3.1 years) | Reduced | Complex I; II; III; I–III; II–III; IV; V; citrate synthase | [22] | ||||||
Patient quadriceps femoralis muscle (Types 1 and 3) | Reduced (Type 1) | NDUFB1; CYC1; SLC25A4 | [23] | ||||||
Patient quadriceps/paraspinal muscle (Types 1–3) | Reduced | Complex I; II; II–III; IV; citrate synthase | Reduced | MT-ND1; SDHA; MT-CO1; MT-CO2; COX4I1; MT-ATP6 | Reduced | SDHA; MT-CO1; MT-CO2; COX4I1 | [24] | ||
Patient-derived iPSC-MNs/astrocytes | No change (astrocytes) | No change | Complex II, IV | [27] | |||||
Type 1 patient-derived myoblasts/myotubes | Reduced (myoblasts) | No change (at baseline) | [29] | ||||||
Spinal cord from Taiwanese mice (P5, P8)a | Reduced | [28] | |||||||
Heart from Taiwanese mice (P1)a | Increased | MT-ATP6 | [30] | ||||||
Spinal MNs from Hung–Li SMA mice (P9)b Cultured MNs from SMN∆7 mice (E12.5)b |
Reduced | Reduced | [26] | ||||||
Flexor tibialis and extensor plantaris (fast-twitch) and extensor soleus (slow-twitch) muscles from Smn∆7/∆7; huSMN2+/+micec |
Reduced (fast-twitch) No change |
Complex I; II; IV; citrate synthase |
No change | NDUFB8; SDHB; UQCRC2; MT-CO1; ATP5A | [31] | ||||
Smn morphant zebrafish embryos | Reduced | Reduced | ATP5A | [28] |
All five complexes of the oxidative phosphorylation system show alterations in enzyme activity. Expression changes are found in transcripts and proteins encoded by both the nuclear and mitochondrial (denoted by ‘MT-’) genomes across all five complexes: MT-ND1, NDUFB1, and NDUFB8 (complex I); SDHA and SDHB (complex II); CYC1 and UQCRC2 (complex III); MT-CO1, MT-CO2, COX4, and COX4I1 (complex IV); ATP-5A, and MT-ATP6, and SLC25A4 (complex V). Mouse models of SMA are defined as severea, intermediateb, or mildc (reflecting SMA Types 1, 2, and 3/4, respectively). iPSC induced pluripotent stem cell, MNs motor neurons, PDHC pyruvate dehydrogenase complex, SMA spinal muscular atrophy, SMN survival motor neuron
Reactive oxygen species and oxidative stress
As by-products of oxidative phosphorylation, as well as other mitochondrial and cellular biochemical reactions, reactive oxygen species (ROS) is an umbrella term for a group of molecular species. ROS are well-known for their pathological role in oxidative processes and resultant oxidative stress, but also play a physiological role in cell signalling and homeostasis [33]. Although neither ROS production nor oxidative stress are exclusively mitochondrial functions, both are underpinned by mitochondria and are a classic example of the double-edged role that mitochondria often play in cellular life. Based upon the oxidative phosphorylation defects in SMA, it follows that there is also evidence of altered ROS levels and oxidative stress in post-mortem patient material [34] and models of SMA [25, 26, 30, 35–37] (Table 2). Overall, the main finding has been of increased ROS and oxidative stress in SMA pathology, with any exceptions indicating that tissue/cell-type differences and the type of ROS examined are important. Relevantly, 4-hydroxynonenal (4-HNE) is generated primarily within mitochondria and is a marker of lipid peroxidation [38]. Although not exhaustively examined, 4-HNE is the only oxidative stress marker so far that has been associated with motor neuron pathology [27, 34, 35].
Table 2.
SMA type/model | ROS/Oxidative stress marker | ROS/Oxidative stress production | SMN splicing | SMN complex | Rescue | References |
---|---|---|---|---|---|---|
Patient spinal cord and brain tissue (Werdnig–Hoffman disease; Type 1) |
4-HNE 8HOdG 3-Nitrotyrosine |
Increased (MNs) No change (MNs) No change (MNs/brain) |
[34] | |||
Type 3 patient-derived spinal MNs |
MitoSOX H2DCFDA ATF-6 |
Increased Increased No change |
Edaravone | [37] | ||
Patient-derived iPSC-MNs/astrocytes | DHE | Reduced | [27] | |||
Paraquat-treated neuronal and non-neuronal cell lines/patient-derived fibroblasts | Altered | ASO (ISS-N1) | [40] | |||
Stable SMN knockdown in hESC-derived MNs | MitoSOX | Increased | [36] | |||
Paraquat-treated SH-SY5Y human neuroblastoma cells | Altered | [39] | ||||
β-Lapachone-treated HeLa cells | Modulated (via crosslinking) | [42] | ||||
Smn siRNA knockdown in NSC-34 cells | H2DCFDA | Increased | [25] | |||
Cultured MNs from Smn∆7 mice (E12.5)b | Mito-roGFP | Increased | [26] | |||
Spinal cord from Smn∆7 mice (P4–8)b | 8HOdG | No change | [27] | |||
Heart from Smn∆7 mice (P9)b | 3-Nitrotyrosine | Increased | Adenoviral-SMN | [35] | ||
Paraquat-treated heterozygous Taiwanese mice (6–8 weeks; various tissues)a | Altered | [41] |
MitoSOX is a commercially available dye used to measure mitochondrial production of superoxide. Mito-roGFP measures the mitochondrial redox state using redox-sensitive GFP (roGFP) that is targeted to the mitochondrial matrix. Mouse models of SMA are defined as severea, intermediateb, or mild (reflecting SMA Types 1, 2, and 3/4, respectively). ASO (ISS-N1) antisense oligonucleotide targeting the SMN2 intronic splicing silencer N1, ATF-6 activating transcription factor 6, DHE dihydroethidium, H2DCFDA 2′,7′-dichlorodihydrofluorescein diacetate, hESC human embryonic stem cell, 4-HNE 4-hydroxynonenal, 8HOdG 8-oxo-2′-deoxyguanosine, MNs motor neurons, ROS reactive oxygen species, SMA spinal muscular atrophy, SMN survival motor neuron
Mechanistically, SMN1 and SMN2 splicing [39–41] and activity of the SMN complex [42] can be regulated by ROS in oxidative stress-inducing conditions (Table 2). This suggests that increased ROS may be pathological in SMA through disruption of physiological ROS functions. Concurrently, oxidative stress induced by paraquat (a compound that increases mitochondrial ROS production [43]) reduces SMN protein levels [40, 41]. Therefore, along with reduced levels of SMN protein due to SMN mutation, increased mitochondrial ROS production may exacerbate and further reduce SMN protein levels. Whether reduced SMN levels in patients with SMA directly affects mitochondrial ROS-generating processes as shown in cell studies [26, 36, 37], or whether mitochondrial ROS production and oxidative stress are increased due to an external factor (that may also be SMA-related) is not yet clear. To address this question, it is pertinent to consider other aspects of SMA pathology that may be involved in producing an oxidative environment, specifically, the involvement of hypoxia.
Mitochondria are the main oxygen consumers of the cell and are critically dependent on oxygen availability for mediating their canonical function of oxidative phosphorylation. Consequently, they are implicitly involved in oxygen-sensing, and in turn, hypoxic cellular pathways, which interlinks with their role in intermediary metabolism [44]. Hypoxic changes are present in neuronal and non-neuronal tissues of SMA model mice at an early symptomatic time point [45, 46]. Like oxidative stress, hypoxia is mechanistically associated with SMN2 splicing, promoting exon 7 skipping through heterogeneous nuclear ribonucleoprotein (hnRNP)-A1 (a negative regulatory splicing factor of SMN2 exon 7) in a severe mouse model of SMA [47]. Therapeutically, hnRNPA1 binding is blocked by Spinraza®, which promotes exon 7 inclusion and production of full-length SMN protein [15]. Hypoxic pathways are also triggered at the molecular level by ROS production and hypoxia-inducible factors (HIFs), an oxygen-regulated family of transcription factors that modify glycolytic capacity and are reported sensors of mitochondrial health [48]. Under normal oxygen conditions, HIF1α protein is rapidly degraded by ubiquitination processes involving the SMN-relevant proteins, ubiquitin-like modifier activating enzyme 1 (UBA1) [49, 50] and ubiquitin carboxyl-terminal hydrolase L1 [51, 52]. During hypoxia, increased mitochondrial ROS stabilises HIF1α protein, leading to further activation of hypoxic signalling pathways. Due to functional changes in SMN-related ubiquitination, basal degradation of HIF1α may be altered in SMA with increased mitochondrial ROS production further exacerbating this process. These potential hypoxic interactions between SMN and mitochondria have not been fully explored. Yet hypoxia offers a feasible environmental factor for influencing development of SMA, and unarguably, is a modifying influence on mitochondrial function.
Mitochondrial metabolism
Mitochondria are integral to metabolic pathways, both in terms of using end products as sources of electrons for the electron transport chain and providing ATP for further metabolic processes. Metabolism in turn is a critical link between molecular pathology and clinical care, since changes in nutritional care of patients can have direct impacts on metabolic function and vice versa. Metabolic dysfunction is an understudied area of research in SMA, but the few studies that have investigated this have found distinct perturbations in various kinds of metabolism across patient groups. Glucose, amino acids, and lipids can all be metabolised to provide substrates for ATP generation in mitochondria [53]. Glucose metabolism is dysregulated in both patients and models of SMA. Mild and intermediate mouse models of SMA show glucose intolerance that increases with age as well as hyperglucagonemia, increased insulin sensitivity, and fasting hyperglycaemia [54, 55]. These metabolic phenotypes are accompanied by morphological changes in the pancreas, with pancreatic islet cells showing an increased proportion of glucagon-producing cells (α cells) and a decreased proportion of insulin-producing cells (β cells). This change in islet cell composition was also found in patients with Type 1 SMA [54]. Patients with SMA are reported to have increased visceral fat mass, and children with Type 2 SMA and obesity are at higher risk for insulin resistance [56].
There is also evidence of amino acid metabolism dysregulation, again in both clinical and pre-clinical SMA research. Branched-chain amino acid (BCAA) pathways showed major changes in expression at early and symptomatic time points in a severe SMA mouse model, notably with reduced BCAA transaminase 2 (Bcat2) expression as a major catabolic enzyme of BCAAs [57]. This dysregulation of amino acid metabolism was also found in patients with Type 2 SMA [56]. Dyslipidemia and fatty deposits were found in the liver post-mortem in a cohort of patients with Type 2 SMA, which is mimicked in an intermediate mouse model [58]. This study also reported global dysregulation of fat and lipid metabolism. In the era of SMN-replacement therapies, these secondary characteristics of SMA are likely to become more pressing, both in terms of combinatorial therapy development and long-term disease management. At the cellular level, the ability to effectively switch between energetic fuels in response to fluctuating environmental conditions (such as during development or neuronal signalling) is dependent on the inherent metabolic flexibility of mitochondria, which is mediated by their ability to change shape [59, 60]. Whether dysregulation in all three mitochondrial fuels in SMA pathology reflects loss of this adaptative ability in mitochondria remains to be determined.
Apoptosis
SMA pathology is primarily defined by motor neuron loss in the spinal cord, which reasonably may occur through apoptosis as a cell fate mechanism. Mitochondria are well-known as key activators of the intrinsic pathway of apoptosis [61], which involves a combination of pro- and anti-apoptotic proteins, including Bcl-2 family members, caspase family members, cytochrome C, and p53. In support of a role for apoptosis in SMA, several studies have shown altered levels of these proteins in patients and models of SMA [62]. Further involvement of SMN protein at the molecular level can be inferred through SMN interactions with known apoptotic proteins. Recombinant SMN directly interacts with the anti-apoptopic and outer mitochondrial membrane (OMM) protein, Bcl-2, to exert a synergistic effect against apoptosis in cell culture studies [63, 64]. Although the physiological significance of this interaction has not been confirmed [65], there is ample evidence implicating Bcl-2 and other family members across the spectrum of SMA pathology in patient tissue [66], animal models [67], and cell culture models [68, 69]. Another SMN interaction of interest to apoptosis is the pro-apoptotic protein, p53, which in turn regulates the Bcl-2 family of proteins [70]. P53 is a transcription factor involved in cell stress and can both induce apoptosis (nuclear p53) and repress autophagy (cytosolic p53), which in part is dependent on p53 translocation to external (OMM) and internal (matrix) mitochondrial locations [71]. Nuclear p53 activity is selectively upregulated in disease-vulnerable spinal motor neurons in an intermediate mouse model of SMA [72], while direct interaction between SMN and nuclear p53 correlates with SMA disease severity in patient-derived fibroblasts [73]. Zinc-finger protein 1 (ZPR1) is another apoptosis-inducing protein and SMN interactor [74, 75]. ZPR1 expression levels are reduced in patients with SMA and may play a role in disease severity [76]. Corroboratively, ZPR1 was identified as a potential modifier of SMA pathology in mild and severe mouse models of SMA, with alternating effects on apoptosis that are dependent on ZPR1 expression levels [77]. Finally, the gene for neuronal apoptosis inhibitory protein (or NLR family apoptosis inhibitor protein; NAIP) is located within the genomic region of chromosome 5 that encompasses SMN1. NAIP is not the causative gene for SMA but NAIP mutations are suggested to modify disease severity in patients with SMA [78, 79], albeit their clinical significance is unclear [4]. Nevertheless, as NAIP is regulated by release of caspases 3 and 9 during apoptosis [80], it is reasonable that NAIP may play a modifying role in apoptosis of SMA motor neurons [81, 82]. Aside from apoptosis, NAIP is most studied for its role in another mitochondrial pathway, that of activation of the innate immune system [83]. Thus, clarifying the mitochondrial role of Bcl-2, p53, ZPR1, and NAIP in apoptosis may shed further light on cell death mechanisms in SMN disease-vulnerable motor neurons.
Mitochondrial trafficking
Mitochondria constantly move around the cell to meet local metabolic and energetic demands, and are trafficked along the cellular cytoskeleton [84]. Cytoskeletal and trafficking processes have previously been implicated in SMA [17], suggesting that reasonably, SMN may also play a role in mitochondrial trafficking. Accordingly, smn-1 was identified from a genetic screen in C. elegans to detect components of abnormal mitochondrial localisation [85]. Through interactions with actin-related protein 2 (ARX-2), smn-1 was subsequently shown to influence mitochondrial localisation and distribution in muscle myofilaments. Patient-derived cell culture models of SMA show motor neuron-specific reductions in mitochondrial movement along axons [26, 86, 87] (Table 3). Reduced mitochondrial trafficking in SMA cell models may therefore reflect dissociation of SMN interactions between ARX-2 and actin filaments. Alternatively, tubulin-related mitochondrial trafficking is commonly implicated in other forms of SMA [88, 89] and motor neuron diseases [90], while intermediate filament aggregation disrupts mitochondrial movement in giant axonal neuropathy, a related neurological disorder [91]. Determining whether these cytoskeletal alterations in mitochondrial trafficking across disease classifications share SMN-related molecular disturbances may enable utilisation of shared modelling and therapeutic approaches.
Table 3.
SMA type/model | Trafficking | Distribution | mtDNA content | Number | MMP | Morphology | Size | Rescue | References |
---|---|---|---|---|---|---|---|---|---|
Patient skeletal muscle (Types 1–3) | Reduced | [21] | |||||||
Patient quadriceps/paraspinal muscle (Types 1–3) | Reduced (correlated with disease severity) | [24] | |||||||
Type 1 patient-derived MNs from iPSCs/hESCs | Reduced | Reduced | Reduced | Reduced | N-Acetylcysteine (antioxidant) | [86] | |||
Type 1 patient-derived iPSC-MNs | Reduced | Reduced | Reduced | Z-FA-FMK (protease inhibitor) | [87] | ||||
Type 1 patient-derived myoblasts/myotubes | No change | [29] | |||||||
Smn siRNA knockdown in NSC-34 cells | Increased | [25] | |||||||
Diaphragm from SMN∆7 mice (P14)b | No change (presynaptic) | Reduced (presynaptic) | [95] | ||||||
Tibialis anterior muscle from SMN∆7 mice (P13)b | Reduced (presynaptic) | Normal (presynaptic) | [97] | ||||||
Tibialis anterior muscle from SMN∆7 mice (P14)b | Normal (presynaptic) | Reduced (presynaptic) | [96] | ||||||
Cardiomyocytes from SMN∆7 mice (P14)b | Degenerative | Swollen | [105] | ||||||
Spinal cord (P3, P9) and cultured MNs (E12.5) from SMN∆7 miceb | Reduced | Reduced | Fragmented/abnormal | Reduced | [26] | ||||
Diaphragm/soleus from Taiwanese mice (P4)a | Fragmented/abnormal (diaphragm) | Swollen (diaphragm) | SMN2 splicing | [106] | |||||
Intercostal muscles from Taiwanese mice (P4)a | Normal | Normal | [108] | ||||||
Cervical spinal cord from Taiwanese mice (P3)a | Abnormal | Reduced | [107] | ||||||
Tibialis anterior muscle from SMN2B mice (P21)b | In vacuoles | [103] | |||||||
C. elegans smn-1 mutant body wall muscle | Abnormal | Abnormal | [85] |
Mouse models of SMA are defined as severea, intermediateb, or mild (reflecting SMA Types 1, 2, and 3/4, respectively). hESCs human embryonic stem cells, iPSCs induced pluripotent stem cell, MMP mitochondrial membrane potential, MNs motor neurons, mtDNA mitochondrial DNA, SMA spinal muscular atrophy, SMN survival motor neuron
Mitochondrial quality control mechanisms
Mitochondrial dynamics
Overlapping with a role in mitochondrial trafficking, the cytoskeleton is also involved in mitochondrial dynamics, which describes the intertwined fission and fusion capabilities of mitochondria [92]. Mitochondrial fission is a means of both mitochondrial replication and removal of damaged or dysfunctional mitochondria (i.e., mitophagy). Mitochondrial fusion enables the exchange of metabolites and other molecules (including mitochondrial DNA [mtDNA]) among mitochondria and leads to generation of the interconnected mitochondrial networks that are present in many cell types, such as neurons and muscle. Related to mitochondrial dynamics are mitochondrial biogenesis (generation of new mitochondria from pre-existing mitochondria) and mitophagy [93]. Taken together, these interrelated functions are viewed as quality control mechanisms to maintain a healthy mitochondrial population and optimise the energetic and metabolic output of the cell. Mitochondrial dynamics have already been implicated in the pathogenesis of neurodegenerative diseases [94], but have not yet become an area of active research for SMA. Despite this, there are indications that mitochondrial dynamics may be disrupted in smn-1 mutant worms, with disruption of the typical elongated mitochondrial network in the belly wall muscle [85]. This phenotype is supported by SMA cell models [26, 86, 87] showing reduced mitochondrial length, a concomitant increase in fragmentation, and reductions in fusion transcripts (Table 3). Overall, these changes are suggestive of impaired mitochondrial fusion in SMA.
Mitochondrial biogenesis and mitophagy
Mitochondrial biogenesis can be inferred through regulation of relevant transcriptional pathways, or more directly shown by the amount of mtDNA and/or number of mitochondria. There is evidence that all of these processes are altered in SMA pathology [21, 24, 26, 86, 87, 95–97]. In particular, reduced mtDNA content has been reported in patient muscle tissue [21, 24] that partially tracks with the clinical phenotype [23]. Reduced mitochondrial number and/or density are found in mouse [95–97] and cell culture [86, 87] models of SMA (Table 3). Importantly, there are muscle-specific differences that correlate with the disease phenotype: fewer mitochondria are detected in the disease-vulnerable tibialis anterior muscle of a severe SMA mouse model [96, 97], while no change was reported in the diaphragm at a similar postnatal stage [95]. Together these findings suggest there are less mitochondria in pathologically relevant cell types. However, it is not known how reduction of SMN protein and function is involved. Interestingly, there are clinical reports of mitochondrial phenocopies of SMA [98], defined as a disease that phenotypically resembles SMN-associated SMA but without SMN1 gene mutations. These phenocopies also show mtDNA depletion [99–102] and may prove useful for mechanistic understanding of the relationship between mtDNA content and SMA development.
Due to the reduced energetic capability of mitochondria in SMA, mitophagy should be activated as a cellular response to remove dysfunctional mitochondria. Vacuoles containing mitochondria were reported in an intermediate mouse model of SMA, and not in control mice [103], suggesting that mitophagy is activated in SMA. Mitophagy can be indirectly inferred by depolarisation of the mitochondrial membrane potential (MMP), which reflects the functional status and viability of mitochondria [104]. This has been examined in cell models of SMA [25, 26, 86] (Table 3), with stable knockdown of SMN levels associated with a depolarised MMP. This suggests that the mitochondrial population is functionally suboptimal and a mitophagic response should be induced. Further investigation of this process is needed to determine how altered SMN autophagic function may be involved, possibly preventing efficient removal of dysfunctional mitochondria.
Mitochondrial morphology and size
Mitochondrial morphology and size are remarkably heterogenous among cell types and are regulated in part by mitochondrial dynamics and the cytoskeleton. Together they impact upon the mitochondrion’s energetic and metabolic output. Morphological abnormalities of mitochondria are evident in animal models of SMA [26, 85, 105–107] (Table 3), including alterations in cristae (the mitochondrial location of the ETC) at a pre-symptomatic stage of disease [26]. In addition, both larger [105, 106, 108] and smaller [26, 95, 107] mitochondria have been reported in animal models of SMA (Table 3). Swollen or enlarged mitochondria may represent degenerative mechanisms acting downstream of reduced SMN protein levels. While smaller mitochondria may reflect a physiological phenotype of SMA pathology: indeed smaller mitochondria are associated with reduced SMN levels in cell culture models of SMA [86, 87].
Mitochondrial import of proteins
Due to the small number of proteins encoded by the mitochondrial genome (13 of > 1000 mitochondrial proteins in humans [109]), mitochondria must import the rest of the proteins and other macromolecules needed for its function from the cytosol. Import occurs through protein complexes located within the outer and inner mitochondrial membranes, namely translocases of the outer membrane (TOM) and inner membrane (TIM) [110]. Mitochondrial import has not been directly investigated in SMA research, but there is tentative evidence that this process could be affected by SMA pathology. Reduced expression of mitochondrial import proteins has been shown in patient muscle biopsies [24] and patient-derived spinal motor neurons [111], albeit not in a mild mouse model of SMA [31]. Further, voltage-dependent anion-selective channel 1 (VDAC1) is an OMM import protein that interacts with stasimon, a protein involved in synaptic transmission and already implicated in SMN pathways [112]. VDAC1–stasimon interactions occur at specialised endoplasmic reticulum (ER)–mitochondria membrane contact sites [113]. Functionality of the VDAC1–stasimon interaction may be affected by reduced SMN levels, thereby implicating mitochondrial protein import in SMA pathology. Then rather curiously, recombinant SMN protein was shown to interact with TIM50 [114], a component of the TIM23 complex in the IMM that facilitates protein import from the TOM complex [115]. Within the TIM23 complex, TIM50 is the main receptor for inner membrane and matrix-bound proteins and is closely linked to ETC assembly. The physiological relevance of this interaction has not been examined further. Although it may be expected that cytoplasmic SMN interacts with mitochondrial TIM50 before mitochondrial import, putative localisation of SMN at the IMM in rat spinal cord [116] hints at the possibility that SMN may directly interact with TIM50 in mitochondria. These potential SMN–mitochondrial connections in protein import need further corroboration to enable understanding of their functional significance.
SMN localisation at mitochondria
The prevailing viewpoint in the SMA field is that SMN does not localise to mitochondria [25, 117, 118]. However, re-evaluation of these studies suggests that there may be alternative interpretations of these conclusions. For example, although electron microscopy studies are technically challenging and their interpretation can be problematic, mitochondrial localisation of SMN in endogenous, disease-free rat spinal cord at multiple developmental stages was reported by Pagliardini et al. [116]. SMN was most convincingly detected in close apposition to the OMM, a location corroborated by colocalisation of SMN and ARX-2 at mitochondria in C. elegans [85]. Surprisingly, SMN was also reported at the IMM. Additional support for mitochondrial localisation of SMN, particularly at the OMM, can be gleaned from protein interactions: either directly through putative SMN interactions with mitochondrial proteins (Bcl-2, p53, and TIM50) or indirectly via SMN-interacting proteins that also localise to mitochondria, namely, ARX-2, stasimon, and neurocalcin delta (NCALD) [119], albeit most of these interactions have not been directly examined in this context. Transient localisation of SMN to mitochondria under certain cellular conditions and/or developmental stages seems likely. Given its function in transcription, translation, and proteostatic mechanisms, SMN is well suited to play a role in mitochondrial function. That mitochondria have recently been proposed as hubs of cellular proteostasis [120, 121] suggests this interaction could be reciprocal.
A mitochondria-focused model of SMA disease and treatment
The role of mitochondria in SMA
Mitochondrial dysfunction has long been reported in patients with SMA. Unsurprisingly, mitochondrial energetic and metabolic alterations are associated with reduction of SMN protein and SMA pathology (Fig. 2). By combining current research, a model of mitochondrial dysfunction in SMA can be postulated that incorporates overlapping SMN functions (Fig. 3). Alterations in mitochondrial quality control mechanisms will lead to less efficient removal and reduced production of new mitochondria. Linking mitochondrial biogenesis and mitophagy to SMN-related function, β-catenin functions through the developmental Wnt signalling pathway [122] and was identified along with disrupted ubiquitin homeostasis as a driver of disease pathogenesis in SMA [50]. The cytosolic form of the mitochondrial phosphatase, PGAM family member 5 (PGAM5), was recently identified as a novel activator of Wnt/β-catenin signalling, stimulating mitochondrial biogenesis and increasing mitochondrial number in response to mitochondrial stress [123]. In addition, the mitochondrial form of PGAM5 acts as a repressor of Wnt/β-catenin signalling [124] and is involved in mitophagy [125, 126], again during times of mitochondrial stress. Opposing functions for related protein isoforms in the same signalling pathway suggests that Wnt/β-catenin signalling, and in turn SMN, may be important to mitochondrial turnover.
Altered mitochondrial quality control and trafficking/cytoskeletal defects may lead to changes in mitochondrial morphology, size, and subcellular distribution. Further mechanistic insights can again be inferred from known SMN-interacting proteins: HuD is an RNA-binding protein and SMN interactor [127], and together, both proteins influence mRNA transport [128]. Concurrently, HuD plays a role in mitochondrial dynamics, promoting mitochondrial fusion via transport of mitofusin 2 (MFN2) mRNA in mouse pancreatic β-cells [129], a known site of metabolic dysfunction in SMA. MFN2 is an OMM protein that is essential for mitochondrial fusion, and also a causative gene for Charcot–Marie–Tooth disease [94]. Whether reduction of SMN levels in SMA motor neurons can affect HuD–MFN2 transport is not known but warrants further investigation, especially given that mitochondrial fusion appears impaired in SMA models. SMN also plays a well-described role in ubiquitin homeostasis with the ubiquitin protein, UBA1, a known SMN interactor that is already implicated in SMA pathology [130]. Of relevance here, this SMN-related pathway was recently linked to mitochondrial size mechanisms in Drosophila [131]. Specifically, vacuolar protein sorting 13 homolog D (Vps13D) was identified from a screen investigating ubiquitin and UBA1-mediated autophagy mechanisms during intestinal development. Vps13D was subsequently shown to play a role in mediating mitochondrial size through fission and fusion mechanisms. Potential overlapping of SMN and UBA1/ubiquitin function in this mitochondrial size pathway provides another point at which mitochondrial and SMN functions may intersect.
Mitochondrial structure is known to beget its function. Consequently, abnormalities in mitochondrial morphology and dynamics may be reflected in patients with SMA by reduced energetic capability at the cellular level and dysregulated metabolic control at the systems-wide level. Apoptosis should be inevitable but imbalances in SMN-related proteins (e.g., p53, Bcl-2 family) may hinder this process. Hypoxia could be an early influence on mitochondrial dysfunction, leading to increased mitochondrial ROS production and oxidative stress. Recently, hnRNPA1 (the SMN2 splicing factor regulated by hypoxia) was shown to interact with a specific subset of mitochondrial transfer RNAs (tRNAs) [132] that were unexpectedly detected in the cytoplasm of HeLa cells. These proteins are typically found in the mitochondrial matrix where they are involved in translation of mitochondrial proteins. The biological significance of these cytosolic mitochondrial tRNAs is not yet apparent. They may be released following mitophagy and/or form part of regulatory crosstalk between mitochondria and the nucleus, possibly in times of mitochondrial stress. Further supporting this potential link between SMN2 splicing and mitochondrial function, another hnRNP protein, hnRNPA2, also binds to SMN2 exon 7 and alters SMN2 protein levels [133]. HnRNPA2 is an established transcriptional co-activator involved in mediating the nuclear response to mitochondrial stress, at least in mouse skeletal muscle cells [134]. Theoretically then, SMN2 splicing may be altered by hnRNP proteins in response to mitochondrial stress resulting from hypoxia. Notably, the pattern of mitochondrial dysfunction described is not unique to SMA and is akin to that reported for other neurodegenerative diseases [135, 136]. However, layered throughout this model is the potential for involvement of SMN function, not least its roles in ubiquitination and autophagy. Understanding this underlying mitochondrial deficit and how it intersects with SMN function could benefit patients with SMA at all stages of disease. In this regard, it is also pertinent to ask whether insight into SMA disease mechanisms can be obtained from present understanding of mitochondria.
Mitochondria are unequivocally bioenergetic and biosynthetic organelles, yet current research suggests that they should not be viewed solely as such. Indeed, mitochondria are increasingly recognised as signalling hubs either through generation of second messengers (e.g., ROS, Ca2+, ATP and other metabolites) or by acting as scaffolds for signalling complexes that form on the OMM [137–139]. Likely linked to their signalling capacity, is the emerging role that mitochondria play in cell fate pathways aside from apoptosis, including the cell cycle [140–142] and cellular differentiation [143, 144]. Mitochondrial involvement in these cell fate pathways highlights an interplay between ROS signalling and mitochondrial dynamics, both of which are altered in SMA pathology. Indeed, effective execution of these cell fate roles is likely to be affected by a functionally suboptimal mitochondrial population. Future consideration of SMN function in mitochondrial signalling and cell fate pathways may reveal a role for mitochondria in SMA that lies outside their canonical energetic role.
Mitochondria-targeted therapies for SMA
The primary treatment aimed at targeting mitochondria in SMA is Olesoxime, which made it through to phase III clinical trials. Olesoxime exerts its neuroprotective effects by modulating the mitochondrial permeability transition pore (an opening between the inner and outer mitochondrial membranes that is induced during pathology [145]), increasing cell survival in multiple in vitro and in vivo models [146]. Phase II clinical trials in non-ambulatory patients with Types 2/3 SMA showed a stabilisation, or even a slight increase, in motor function over the study period, whilst patients receiving a placebo showed a decline in motor function [147]. Unfortunately, Roche announced in 2018 that they were cancelling the phase III clinical trial due to difficulties in production and dosage as well as disappointing long-term results (https://www.treatsma.uk/wp-content/uploads/2018/05/2018-05-30-Olesoxime-PG-update-May-2018.pdf). However, since it is now clear that additional therapies are needed in combination with SMN replacement, cancelling Olesoxime clinical trials may come to be seen as premature and could still offer an option as a combinatorial (“SMN+”) therapy.
Targeting metabolic pathways is a second strategy that could benefit mitochondrial function in SMA. For example, targeting the glycolytic enzyme, phosphoglycerate kinase 1 (PGK1), either genetically or pharmacologically, can improve motor neuron health in SMA models [28]. Transcriptionally PGK1 is induced by HIF1α [148] and targeted to mitochondria following hypoxia [149], therefore the therapeutic benefit of PGK1 may involve hypoxic SMA mechanisms. Likewise, treatment with prednisolone (a corticosteroid that targets the transcription factor that modulates BCAA metabolism) or genetic overexpression of this transcription factor and therefore boosting of this metabolic pathway, doubled the lifespan of an intermediate mouse model of SMA. Glucocorticoids themselves are synthesised in mitochondria [150]. Potentially the therapeutic effects of prednisolone may also tap into mitochondrial-related glucocorticoid pathways.
More general metabolic approaches include changes to diet and exercise. In a mild SMA mouse model, forced exercise improved various markers of SMA pathology including fatiguability and motor neuron survival [151]. Further, a functional decrease in mitochondrial oxidative capacity was reversed by exercise intervention in a subset of muscle fibres in the same mouse model [31]. However, whether these results can be directly translated to human patients remains to be determined. A systematic review of evidence for and against exercise in patients with SMA was inconclusive due to heterogeneity of the patient groups and exercise performed [152]. This is obviously a difficult therapy to apply to patients with SMA due to their decreased motor abilities. A simpler target may be food intake. Targeting lipid dysregulation in SMA mice with a low-fat diet doubled their survival [58], whilst BCAA supplementation also improved SMA mouse model lifespan [57]. A recent systematic review described the lack of evidence for nutritional care in patients with SMA, an issue that is likely to become more pressing now that patients are living longer [153].
The early success of Olesoxime indicates that targeting mitochondria may still be an exciting avenue for future therapy development as a systemic, combinatorial option. Several therapies are being tested in other neurodegenerative diseases with mitochondrial dysfunction as a pathogenic hallmark, including metformin [154] and resveratrol [155] (see also recent reviews of mitochondrial therapies [156, 157]). Photobiomodulation is an alternative non-pharmacological approach that is gaining traction in neurodegenerative and brain injury fields [158, 159]. Photobiomodulation uses light energy to modulate biological function with reported mitochondrial effects including increased mitochondrial respiration and mtDNA levels [160], altered mitochondrial dynamics [161], increased MMP and ATP production [162, 163], and redox effects [164]. Given the demographic of the patient group, this is obviously an attractive strategy since it is non-invasive, has minimal side effects, and enables targeted, localised treatment. Of relevance to SMA, positive effects of photobiomodulation have been reported on muscle fatigue in healthy subjects [165], while there are indications of efficacy in models of Alzheimer’s disease, with improvements in both behavioural and molecular phenotypes [166]. Mitochondrial transplantation is another potential new avenue in mitochondrial therapies [167, 168], with the caveat that it is still very much at the experimental stage [169, 170]. This approach is based on the premise of transplanting entire mitochondria to treat disease tissue [171]. It has recently been shown that neurons can take up mitochondria from neighbouring astrocytes in stroke models [172], and this mechanism may be boosted by administering mesenchymal stem cells [173]. Given that multiple mitochondrial functions are disrupted in SMA, targeting mitochondria at the organelle level is appealing. These therapeutic approaches are yet to be tested in SMA models but highlight future research opportunities.
Conclusions
As the genetic cause of SMA, SMN is imperative to disentangling the molecular phenotype of SMA and translating it back to the clinic. Yet determining the role of mitochondria in SMN function and SMA pathology may lead to clinical benefit that can complement SMN-replacement therapies. Mitochondria indisputably play an energetic role in motor neurons and muscle. Nevertheless, understanding of mitochondrial function has evolved considerably to show their more embedded role in wider cellular life. Intersection between SMN function and mitochondria can occur at multiple stages of SMA pathology. In turn, both SMN protein and mitochondria show pathological applicability that extends outside of motor neurons and muscle cells to affect every organ of the body. As SMA moves into a new era of treatment and disease progression, understanding the myriad roles of SMN protein and how they impact on generic and cell-type specific functions is ever more crucial for realisation of a cure for SMA.
Abbreviations
- ARX-2
Actin-related protein 2
- BCAA
Branched-chain amino acid
- Bcat2
BCAA transaminase 2
- ETC
Electron transport chain
- HIF
Hypoxia-inducible factor
- 4-HNE
4-Hydroxynonenal
- hnRNP
Heterogeneous nuclear ribonucleoprotein
- IMM
Inner mitochondrial membrane
- MFN2
Mitofusin 2
- MMP
Mitochondrial membrane potential
- mtDNA
Mitochondrial DNA
- NAIP
Neuronal apoptosis inhibitory protein (or NLR family apoptosis inhibitor protein)
- NCALD
Neurocalcin delta
- OMM
Outer mitochondrial membrane
- PGAM5
PGAM family member 5
- PGK1
Phosphoglycerate kinase 1
- ROS
Reactive oxygen species
- SMA
Spinal muscular atrophy
- SMN
Survival motor neuron
- TIM
Translocase of the inner membrane
- TOM
Translocase of the outer membrane
- tRNA
Transfer RNA
- UBA1
Ubiquitin-like modifier activating enzyme 1
- VDAC1
Voltage-dependent anion-selective channel 1
- Vps13D
Vacuolar protein sorting 13 homolog D
Funding
RJ holds a Daphne Jackson Trust Fellowship funded by Medical Research Scotland. HC is funded by the My Name’5 Doddie foundation (Project Grant) and LML by a Medical Research Council (MRC) studentship (Precision Medicine PhD Studentship).
Availability of data and material
Not applicable.
Code availability
Not applicable.
Declarations
Conflict of interest/competing interest
THG has served on SMA advisory boards for Roche.
Ethics approval (include appropriate approvals or waivers)
Not applicable.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Lefebvre S, Bürglen L, Reboullet S, et al. Identification and characterization of a spinal muscular atrophy-determining gene. Cell. 1995;80:155–165. doi: 10.1016/0092-8674(95)90460-3. [DOI] [PubMed] [Google Scholar]
- 2.Lorson CL, Hahnen E, Androphy EJ, Wirth B. A single nucleotide in the SMN gene regulates splicing and is responsible for spinal muscular atrophy. Proc Natl Acad Sci USA. 1999;96:6307–6311. doi: 10.1073/pnas.96.11.6307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Monani UR, Lorson CL, Parsons DW, et al. A single nucleotide difference that alters splicing patterns distinguishes the SMA gene SMN1 from the copy gene SMN2. Hum Mol Genet. 1999;8:1177–1183. doi: 10.1093/hmg/8.7.1177. [DOI] [PubMed] [Google Scholar]
- 4.Wadman RI, Jansen MD, Stam M, et al. Intragenic and structural variation in the SMN locus and clinical variability in spinal muscular atrophy. Brain Commun. 2020;2:fcaa075. doi: 10.1093/braincomms/fcaa075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Talbot K, Tizzano EF. The clinical landscape for SMA in a new therapeutic era. Gene Ther. 2017;24:529–533. doi: 10.1038/gt.2017.52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Serra-Juhe C, Tizzano EF. Perspectives in genetic counseling for spinal muscular atrophy in the new therapeutic era: early pre-symptomatic intervention and test in minors. Eur J Hum Genet. 2019;27:1774–1782. doi: 10.1038/s41431-019-0415-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Finkel RS, Mercuri E, Darras BT, et al. Nusinersen versus sham control in infantile-onset spinal muscular atrophy. N Engl J Med. 2017;377:1723–1732. doi: 10.1056/nejmoa1702752. [DOI] [PubMed] [Google Scholar]
- 8.Mendell JR, Al-Zaidy S, Shell R, et al. Single-dose gene-replacement therapy for spinal muscular atrophy. N Engl J Med. 2017;377:1713–1722. doi: 10.1056/nejmoa1706198. [DOI] [PubMed] [Google Scholar]
- 9.Ratni H, Ebeling M, Baird J, et al. Discovery of risdiplam, a selective survival of motor neuron-2 (SMN2) gene splicing modifier for the treatment of spinal muscular atrophy (SMA) J Med Chem. 2018;61:6501–6517. doi: 10.1021/acs.jmedchem.8b00741. [DOI] [PubMed] [Google Scholar]
- 10.Darrow JJ, Sharma M, Shroff M, Wagner AK. Efficacy and costs of spinal muscular atrophy drugs. Sci Transl Med. 2020;12:eaay9648. doi: 10.1126/scitranslmed.aay9648. [DOI] [PubMed] [Google Scholar]
- 11.Sansone VA, Pirola A, Albamonte E, et al. Respiratory needs in patients with type 1 spinal muscular atrophy treated with Nusinersen. J Pediatr. 2020;219:223–228.e4. doi: 10.1016/j.jpeds.2019.12.047. [DOI] [PubMed] [Google Scholar]
- 12.Hully M, Barnerias C, Chabalier D, et al. Palliative care in SMA type 1: a prospective multicenter French study based on parents’ reports. Front Pediatr. 2020;8:4. doi: 10.3389/fped.2020.00004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hagenacker T, Wurster CD, Günther R, et al. Nusinersen in adults with 5q spinal muscular atrophy: a non-interventional, multicentre, observational cohort study. Lancet Neurol. 2020;19:317–325. doi: 10.1016/S1474-4422(20)30037-5. [DOI] [PubMed] [Google Scholar]
- 14.Hensel N, Kubinski S, Claus P. The need for SMN-independent treatments of spinal muscular atrophy (SMA) to complement SMN-enhancing drugs. Front Neurol. 2020;11:45. doi: 10.3389/fneur.2020.00045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Groen EJN, Talbot K, Gillingwater TH. Advances in therapy for spinal muscular atrophy: promises and challenges. Nat Rev Neurol. 2018;14:214–224. doi: 10.1038/nrneurol.2018.4. [DOI] [PubMed] [Google Scholar]
- 16.Groen EJN, Perenthaler E, Courtney NL, et al. Temporal and tissue-specific variability of SMN protein levels in mouse models of spinal muscular atrophy. Hum Mol Genet. 2018;27:2851–2862. doi: 10.1093/hmg/ddy195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chaytow H, Huang YT, Gillingwater TH, Faller KME. The role of survival motor neuron protein (SMN) in protein homeostasis. Cell Mol Life Sci. 2018;75:3877–3894. doi: 10.1007/s00018-018-2849-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Edens BM, Ajroud-Driss S, Ma L, Ma YC. Molecular mechanisms and animal models of spinal muscular atrophy. Biochim Biophys Acta Mol Basis Dis. 2015;1852:685–692. doi: 10.1016/j.bbadis.2014.07.024. [DOI] [PubMed] [Google Scholar]
- 19.Sleigh JN, Gillingwater TH, Talbot K. The contribution of mouse models to understanding the pathogenesis of spinal muscular atrophy. Dis Model Mech. 2011;4:457–467. doi: 10.1242/dmm.007245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Sperl W, Skladal D, Gnaiger E, et al. High resolution respirometry of permeabilized skeletal muscle fibers in the diagnosis of neuromuscular disorders. Mol Cell Biochem. 1997;174:71–78. doi: 10.1023/A:1006880529195. [DOI] [PubMed] [Google Scholar]
- 21.Berger A, Mayr JA, Meierhofer D, et al. Severe depletion of mitochondrial DNA in spinal muscular atrophy. Acta Neuropathol. 2003;105:245–251. doi: 10.1007/s00401-002-0638-1. [DOI] [PubMed] [Google Scholar]
- 22.Jongpiputvanich S, Sueblinvong T, Norapucsunton T. Mitochondrial respiratory chain dysfunction in various neuromuscular diseases. J Clin Neurosci. 2005;12:426–428. doi: 10.1016/j.jocn.2004.06.014. [DOI] [PubMed] [Google Scholar]
- 23.Millino C, Fanin M, Vettori A, et al. Different atrophy-hypertrophy transcription pathways in muscles affected by severe and mild spinal muscular atrophy. BMC Med. 2009;7:14. doi: 10.1186/1741-7015-7-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ripolone M, Ronchi D, Violano R, et al. Impaired muscle mitochondrial biogenesis and myogenesis in spinal muscular atrophy. JAMA Neurol. 2015;72:666–675. doi: 10.1001/jamaneurol.2015.0178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Acsadi G, Lee I, Li X, et al. Mitochondrial dysfunction in a neural cell model of spinal muscular atrophy. J Neurosci Res. 2009;87:2748–2756. doi: 10.1002/jnr.22106. [DOI] [PubMed] [Google Scholar]
- 26.Miller N, Shi H, Zelikovich AS, Ma YC. Motor neuron mitochondrial dysfunction in spinal muscular atrophy. Hum Mol Genet. 2015;25:3395–3406. doi: 10.1093/hmg/ddw262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Patitucci TN, Ebert AD. SMN deficiency does not induce oxidative stress in SMA iPSC-derived astrocytes or motor neurons. Hum Mol Genet. 2016;25:514–523. doi: 10.1093/hmg/ddv489. [DOI] [PubMed] [Google Scholar]
- 28.Boyd PJ, Tu WY, Shorrock HK, et al. Bioenergetic status modulates motor neuron vulnerability and pathogenesis in a zebrafish model of spinal muscular atrophy. PLoS Genet. 2017;13:e1006744. doi: 10.1371/journal.pgen.1006744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Hellbach N, Peterson S, Haehnke D, et al. Impaired myogenic development, differentiation and function in hESC-derived SMA myoblasts and myotubes. PLoS ONE. 2018;13:e1006744. doi: 10.1371/journal.pone.0205589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Maxwell GK, Szunyogova E, Shorrock HK, et al. Developmental and degenerative cardiac defects in the Taiwanese mouse model of severe spinal muscular atrophy. J Anat. 2018;232:965–978. doi: 10.1111/joa.12793. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Houdebine L, D’Amico D, Bastin J, et al. Low-intensity running and high-intensity swimming exercises differentially improve energy metabolism in mice with mild spinal muscular atrophy. Front Physiol. 2019;10:1258. doi: 10.3389/fphys.2019.01258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Montes J, Garber CE, Kramer SS, et al. Single-blind, randomized, controlled clinical trial of exercise in ambulatory spinal muscular atrophy: why are the results negative? J Neuromuscul Dis. 2015;2:463–470. doi: 10.3233/JND-150101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Sies H, Jones DP. Reactive oxygen species (ROS) as pleiotropic physiological signalling agents. Nat Rev Mol Cell Biol. 2020;21:363–383. doi: 10.1038/s41580-020-0230-3. [DOI] [PubMed] [Google Scholar]
- 34.Hayashi M, Araki S, Arai N, et al. Oxidative stress and disturbed glutamate transport in spinal muscular atrophy. Brain Dev. 2002;24:770–775. doi: 10.1016/S0387-7604(02)00103-1. [DOI] [PubMed] [Google Scholar]
- 35.Shababi M, Habibi J, Ma L, et al. Partial restoration of cardio-vascular defects in a rescued severe model of spinal muscular atrophy. J Mol Cell Cardiol. 2012;52:1074–1082. doi: 10.1016/j.yjmcc.2012.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Wang ZB, Zhang X, Li XJ. Recapitulation of spinal motor neuron-specific disease phenotypes in a human cell model of spinal muscular atrophy. Cell Res. 2013;23:378–393. doi: 10.1038/cr.2012.166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Ando S, Funato M, Ohuchi K, et al. Edaravone is a candidate agent for spinal muscular atrophy: In vitro analysis using a human induced pluripotent stem cells-derived disease model. Eur J Pharmacol. 2017;814:161–168. doi: 10.1016/j.ejphar.2017.08.005. [DOI] [PubMed] [Google Scholar]
- 38.Zhong H, Yin H. Role of lipid peroxidation derived 4-hydroxynonenal (4-HNE) in cancer: focusing on mitochondria. Redox Biol. 2015;4:193–199. doi: 10.1016/j.redox.2014.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Maracchioni A, Totaro A, Angelini DF, et al. Mitochondrial damage modulates alternative splicing in neuronal cells: implications for neurodegeneration. J Neurochem. 2007;100:142–153. doi: 10.1111/j.1471-4159.2006.04204.x. [DOI] [PubMed] [Google Scholar]
- 40.Singh NN, Seo J, Rahn SJ, Singh RN. A multi-exon-skipping detection assay reveals surprising diversity of splice isoforms of spinal muscular atrophy genes. PLoS ONE. 2012;7:e49595. doi: 10.1371/journal.pone.0049595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Seo J, Singh NN, Ottesen EW, et al. Oxidative stress triggers body-wide skipping of multiple exons of the spinal muscular atrophy gene. PLoS ONE. 2016;11:e0154390. doi: 10.1371/journal.pone.0154390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Wan L, Ottinger E, Cho S, Dreyfuss G. Inactivation of the SMN complex by oxidative stress. Mol Cell. 2008;31:244–254. doi: 10.1016/j.molcel.2008.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Castello PR, Drechsel DA, Patel M. Mitochondria are a major source of paraquat-induced reactive oxygen species production in the brain. J Biol Chem. 2007;282:14186–14193. doi: 10.1074/jbc.M700827200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Fuhrmann DC, Brüne B. Mitochondrial composition and function under the control of hypoxia. Redox Biol. 2017;12:208–215. doi: 10.1016/j.redox.2017.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Somers E, Lees RD, Hoban K, et al. Vascular defects and spinal cord hypoxia in spinal muscular atrophy. Ann Neurol. 2016;79:217–230. doi: 10.1002/ana.24549. [DOI] [PubMed] [Google Scholar]
- 46.Hernandez-Gerez E, Dall’Angelo S, Collinson JM, et al. Widespread tissue hypoxia dysregulates cell and metabolic pathways in SMA. Ann Clin Transl Neurol. 2020;7:1580–1593. doi: 10.1002/acn3.51134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Bebee TW, Dominguez CE, Samadzadeh-tarighat S, et al. Hypoxia is a modifier of SMN2 splicing and disease severity in a severe SMA mouse model. Hum Mol Genet. 2012;21:4301–4313. doi: 10.1093/hmg/dds263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Thomas LW, Ashcroft M. Exploring the molecular interface between hypoxia-inducible factor signalling and mitochondria. Cell Mol Life Sci. 2019;76:1759–1777. doi: 10.1007/s00018-019-03039-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Kamura T, Sato S, Iwai K, et al. Activation of HIF1 ubiquitination by a reconstituted von Hippel–Lindau (VHL) tumor suppressor complex. Proc Natl Acad Sci USA. 2000;35:e142. doi: 10.1093/nar/gkm932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Wishart TM, Mutsaers CA, Riessland M, et al. Dysregulation of ubiquitin homeostasis and β-catenin signaling promote spinal muscular atrophy. J Clin Investig. 2014;124:1821–1834. doi: 10.1172/JCI71318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Goto Y, Zeng L, Yeom CJ, et al. UCHL1 provides diagnostic and antimetastatic strategies due to its deubiquitinating effect on HIF-1α. Nat Commun. 2015;6:6153. doi: 10.1038/ncomms7153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Hsu SH, Lai MC, Er TK, et al. Ubiquitin carboxyl-terminal hydrolase L1 (UCHL1) regulates the level of SMN expression through ubiquitination in primary spinal muscular atrophy fibroblasts. Clin Chim Acta. 2010;411:1920–1928. doi: 10.1016/j.cca.2010.07.035. [DOI] [PubMed] [Google Scholar]
- 53.Spinelli JB, Haigis MC. The multifaceted contributions of mitochondria to cellular metabolism. Nat Cell Biol. 2018;20:745–754. doi: 10.1038/s41556-018-0124-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Bowerman M, Swoboda KJ, Michalski JP, et al. Glucose metabolism and pancreatic defects in spinal muscular atrophy. Ann Neurol. 2012;72:256–268. doi: 10.1002/ana.23582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Bowerman M, Michalski JP, Beauvais A, et al. Defects in pancreatic development and glucose metabolism in SMN-depleted mice independent of canonical spinal muscular atrophy neuromuscular pathology. Hum Mol Genet. 2014;23:3432–3444. doi: 10.1093/hmg/ddu052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Davis RH, Miller EA, Zhang RZ, Swoboda KJ. Responses to fasting and glucose loading in a cohort of well children with spinal muscular atrophy type II. J Pediatr. 2015;167:1362–1368.e1. doi: 10.1016/j.jpeds.2015.09.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Walter LM, Deguise MO, Meijboom KE, et al. Interventions targeting glucocorticoid-Krüppel-like factor 15-branched-chain amino acid signalling improve disease phenotypes in spinal muscular atrophy mice. EBioMedicine. 2018;31:226–242. doi: 10.1016/j.ebiom.2018.04.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Deguise MO, Baranello G, Mastella C, et al. Abnormal fatty acid metabolism is a core component of spinal muscular atrophy. Ann Clin Transl Neurol. 2019;6:1519–1532. doi: 10.1002/acn3.50855. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Muoio DM. Metabolic inflexibility: when mitochondrial indecision leads to metabolic gridlock. Cell. 2014;159:1253–1262. doi: 10.1016/j.cell.2014.11.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Smith RL, Soeters MR, Wüst RCI, Houtkooper RH. Metabolic flexibility as an adaptation to energy resources and requirements in health and disease. Endocr Rev. 2018;39:489–517. doi: 10.1210/er.2017-00211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Xiong S, Mu T, Wang G, Jiang X. Mitochondria-mediated apoptosis in mammals. Protein Cell. 2014;5:737–749. doi: 10.1007/s13238-014-0089-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Anderton RS, Meloni BP, Mastaglia FL, Boulos S. Spinal muscular atrophy and the anti-apoptotic role of survival of motor neuron (SMN) protein. Mol Neurobiol. 2013;47:821–832. doi: 10.1007/s12035-013-8399-5. [DOI] [PubMed] [Google Scholar]
- 63.Iwahashi H, Eguchi Y, Yasuhara N, et al. Synergistic anti-apoptotic activity between Bcl-2 and SMN implicated in spinal muscular atrophy. Nature. 1997;390:413–417. doi: 10.1038/37144. [DOI] [PubMed] [Google Scholar]
- 64.Sato K, Eguchi Y, Kodama TS, Tsujimoto Y. Regions essential for the interaction between Bcl-2 and SMN, the spinal muscular atrophy disease gene product. Cell Death Differ. 2000;7:374–383. doi: 10.1038/sj.cdd.4400660. [DOI] [PubMed] [Google Scholar]
- 65.Coovert DD, Le TT, Morris GE, et al. Does the survival motor neuron protein (SMN) interact with Bcl-2? J Med Genet. 2000;37:536–539. doi: 10.1136/jmg.37.7.536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Simic G, Seso-Simic D, Lucassen PJ, et al. Ultrastructural analysis and TUNEL demonstrate motor neuron apoptosis in Werdnig–Hoffmann disease. J Neuropathol Exp Neurol. 2000;59:398–407. doi: 10.1093/jnen/59.5.398. [DOI] [PubMed] [Google Scholar]
- 67.Piras A, Schiaffino L, Boido M, et al. Inhibition of autophagy delays motoneuron degeneration and extends lifespan in a mouse model of spinal muscular atrophy. Cell Death Dis. 2017;8:3223–3238. doi: 10.1038/s41419-017-0086-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Tsai LK, Tsai MS, Ting CH, Li H. Multiple therapeutic effects of valproic acid in spinal muscular atrophy model mice. J Mol Med. 2008;86:1243–1254. doi: 10.1007/s00109-008-0388-1. [DOI] [PubMed] [Google Scholar]
- 69.Garcera A, Mincheva S, Gou-Fabregas M, et al. A new model to study spinal muscular atrophy: neurite degeneration and cell death is counteracted by BCL-XL overexpression in motoneurons. Neurobiol Dis. 2011;42:415–426. doi: 10.1016/j.nbd.2011.02.003. [DOI] [PubMed] [Google Scholar]
- 70.Green DR, Kroemer G. Cytoplasmic functions of the tumour suppressor p53. Nature. 2009;458:1127–1130. doi: 10.1038/nature07986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Mariño G, Niso-Santano M, Baehrecke EH, Kroemer G. Self-consumption: the interplay of autophagy and apoptosis. Nat Rev Mol Cell Biol. 2014;15:81–94. doi: 10.1038/nrm3735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Simon CM, Dai Y, Van Alstyne M, et al. Converging mechanisms of p53 activation drive motor neuron degeneration in spinal muscular atrophy. Cell Rep. 2017;21:3767–3780. doi: 10.1016/j.celrep.2017.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Young PJ, Day PM, Zhou J, et al. A direct interaction between the survival motor neuron protein and p53 and its relationship to spinal muscular atrophy. J Biol Chem. 2002;277:2852–2859. doi: 10.1074/jbc.M108769200. [DOI] [PubMed] [Google Scholar]
- 74.Gangwani L, Mikrut M, Theroux S, et al. Spinal muscular atrophy disrupts the interaction of ZPR1 with the SMN protein. Nat Cell Biol. 2001;3:376–383. doi: 10.1038/35070059. [DOI] [PubMed] [Google Scholar]
- 75.Gangwani L, Flavell RA, Davis RJ. ZPR1 is essential for survival and is required for localization of the survival motor neurons (SMN) protein to Cajal bodies. Mol Cell Biol. 2005;25:2744–2756. doi: 10.1128/mcb.25.7.2744-2756.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Helmken C, Hofmann Y, Schoenen F, et al. Evidence for a modifying pathway in SMA discordant families: reduced SMN level decreases the amount of its interacting partners and Htra2-beta1. Hum Genet. 2003;114:11–21. doi: 10.1007/s00439-003-1025-2. [DOI] [PubMed] [Google Scholar]
- 77.Ahmad S, Wang Y, Shaik GM, et al. The zinc finger protein ZPR1 is a potential modifier of spinal muscular atrophy. Hum Mol Genet. 2012;21:2745–2758. doi: 10.1093/hmg/dds102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Roy N, Mahadevan MS, McLean M, et al. The gene for neuronal apoptosis inhibitory protein is partially deleted in individuals with spinal muscular atrophy. Cell. 1995;80:167–178. doi: 10.1016/0092-8674(95)90461-1. [DOI] [PubMed] [Google Scholar]
- 79.Soler-Botija C, Ferrer I, Alvarez JL, et al. Downregulation of Bcl-2 proteins in type I spinal muscular atrophy motor neurons during fetal development. J Neuropathol Exp Neurol. 2003;62:420–426. doi: 10.1093/jnen/62.4.420. [DOI] [PubMed] [Google Scholar]
- 80.Liston P, Fong WG, Korneluk RG. The inhibitors of apoptosis: there is more to life than Bcl2. Oncogene. 2003;22:8568–8580. doi: 10.1038/sj.onc.1207101. [DOI] [PubMed] [Google Scholar]
- 81.Tsai CH, Jong YJ, Hu CJ, et al. Molecular analysis of SMN, NAIP and P44 genes of SMA patients and their families. J Neurol Sci. 2001;190:35–40. doi: 10.1016/S0022-510X(01)00574-3. [DOI] [PubMed] [Google Scholar]
- 82.Watihayati MS, Fatemeh H, Marini M, et al. Combination of SMN2 copy number and NAIP deletion predicts disease severity in spinal muscular atrophy. Brain Dev. 2009;31:42–45. doi: 10.1016/j.braindev.2008.08.012. [DOI] [PubMed] [Google Scholar]
- 83.Kofoed EM, Vance RE. NAIPs: building an innate immune barrier against bacterial pathogens: NAIPs function as sensors that initiate innate immunity by detection of bacterial proteins in the host cell cytosol. BioEssays. 2012;34:589–598. doi: 10.1002/bies.201200013. [DOI] [PubMed] [Google Scholar]
- 84.Cardanho-Ramos C, Faria-Pereira A, Morais VA. Orchestrating mitochondria in neurons: cytoskeleton as the conductor. Cytoskeleton. 2020;77:65–75. doi: 10.1002/cm.21585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Schultz J, Lee SJ, Cole T, et al. The secreted MSP domain of C. elegans VAPB homolog VPR-1 patterns the adult striated muscle mitochondrial reticulum via SMN-1. J Cell Sci. 2017;130:2175–2186. doi: 10.1242/dev.152025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Xu CC, Denton KR, Wang ZB, et al. Abnormal mitochondrial transport and morphology as early pathological changes in human models of spinal muscular atrophy. DMM Dis Model Mech. 2016;9:39–49. doi: 10.1242/dmm.021766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Wang Y, Xu C, Ma L, et al. Drug screening with human SMN2 reporter identifies SMN protein stabilizers to correct SMA pathology. Life Sci Alliance. 2019;2:e201800268. doi: 10.26508/lsa.201800268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Hoang HT, Schlager MA, Carter AP, Bullock SL. DYNC1H1 mutations associated with neurological diseases compromise processivity of dynein-dynactin-cargo adaptor complexes. Proc Natl Acad Sci USA. 2017;114:E1597–E1606. doi: 10.1073/pnas.1620141114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Carrera LAM, Gabriel E, Donohoe CD, et al. Novel insights into SMALED2: BICD2 mutations increase microtubule stability and cause defects in axonal and NMJ development. Hum Mol Genet. 2018;27:1772–1784. doi: 10.1093/hmg/ddy086. [DOI] [PubMed] [Google Scholar]
- 90.Lipka J, Kuijpers M, Jaworski J, Hoogenraad CC. Mutations in cytoplasmic dynein and its regulators cause malformations of cortical development and neurodegenerative diseases. Biochem Soc Trans. 2013;41:1605–1612. doi: 10.1042/BST20130188. [DOI] [PubMed] [Google Scholar]
- 91.Israeli E, Dryanovski DI, Schumacker PT, et al. Intermediate filament aggregates cause mitochondrial dysmotility and increase energy demands in giant axonal neuropathy. Hum Mol Genet. 2016;25:2143–2157. doi: 10.1093/hmg/ddw081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Detmer SA, Chan DC. Functions and dysfunctions of mitochondrial dynamics. Nat Rev Mol Cell Biol. 2007;8:870–879. doi: 10.1038/nrm2275. [DOI] [PubMed] [Google Scholar]
- 93.Picca A, Mankowski RT, Burman JL, et al. Mitochondrial quality control mechanisms as molecular targets in cardiac ageing. Nat Rev Cardiol. 2018;15:543–554. doi: 10.1038/s41569-018-0059-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Burté F, Carelli V, Chinnery PF, Yu-Wai-Man P. Disturbed mitochondrial dynamics and neurodegenerative disorders. Nat Rev Neurol. 2015;11:11–24. doi: 10.1038/nrneurol.2014.228. [DOI] [PubMed] [Google Scholar]
- 95.Kariya S, Park GH, Maeno-Hikichi Y, et al. Reduced SMN protein impairs maturation of the neuromuscular junctions in mouse models of spinal muscular atrophy. Hum Mol Genet. 2008;17:2552–2569. doi: 10.1093/hmg/ddn156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Torres-Benito L, Neher MF, Cano R, et al. SMN requirement for synaptic vesicle, active zone and microtubule postnatal organization in motor nerve terminals. PLoS Os. 2011;6:e26164. doi: 10.1371/journal.pone.0026164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Kong L, Wang X, Choe DW, et al. Impaired synaptic vesicle release and immaturity of neuromuscular junctions in spinal muscular atrophy mice. J Neurosci. 2009;29:842–851. doi: 10.1523/JNEUROSCI.4434-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Mancuso M, Filosto M, Hirano M, DiMauro S. Spinal muscular atrophy and mitochondrial DNA depletion. Response to Berber et al. (2003) Acta Neuropathol 105:245–251. Acta Neuropathol. 2003;105:621–622. doi: 10.1007/s00401-003-0699-9. [DOI] [PubMed] [Google Scholar]
- 99.Pons R, Andreetta F, Wang CH, et al. Mitochondrial myopathy simulating spinal muscular atrophy. Pediatr Neurol. 1996;15:153–158. doi: 10.1016/0887-8994(96)00118-x. [DOI] [PubMed] [Google Scholar]
- 100.Rubio-Gozalbo M, Smeitink J, Ruitenbeek W, et al. Spinal muscular atrophy-like picture, cardiomyopathy, and cytochrome c oxidase deficiency. Neurology. 1999;52:383–386. doi: 10.1212/wnl.52.2.383. [DOI] [PubMed] [Google Scholar]
- 101.Mancuso M, Salviati L, Sacconi S, et al. Mitochondrial DNA depletion mutations in thymidine kinase gene with myopathy and SMA. Neurology. 2002;59:1197–1202. doi: 10.1212/01.wnl.0000028689.93049.9a. [DOI] [PubMed] [Google Scholar]
- 102.Boczonadi V, King MS, Smith AC, et al. Mitochondrial oxodicarboxylate carrier deficiency is associated with mitochondrial DNA depletion and spinal muscular atrophy–like disease. Genet Med. 2018;20:1224–1235. doi: 10.1038/gim.2017.251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Deguise MO, Boyer JG, McFall ER, et al. Differential induction of muscle atrophy pathways in two mouse models of spinal muscular atrophy. Sci Rep. 2016;6:28846. doi: 10.1038/srep28846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Zorova LD, Popkov VA, Plotnikov EY, et al. Mitochondrial membrane potential. Anal Biochem. 2018;552:50–59. doi: 10.1016/j.ab.2017.07.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Bevan AK, Hutchinson KR, Foust KD, et al. Early heart failure in the SMNΔ7 model of spinal muscular atrophy and correction by postnatal scAAV9-SMN delivery. Hum Mol Genet. 2010;19:3895–3905. doi: 10.1093/hmg/ddq300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Voigt T, Meyer K, Baum O, Schümperli D. Ultrastructural changes in diaphragm neuromuscular junctions in a severe mouse model for Spinal Muscular Atrophy and their prevention by bifunctional U7 snRNA correcting SMN2 splicing. Neuromuscul Disord. 2010;20:744–752. doi: 10.1016/j.nmd.2010.06.010. [DOI] [PubMed] [Google Scholar]
- 107.Neve A, Trüb J, Saxena S, Schümperli D. Central and peripheral defects in motor units of the diaphragm of spinal muscular atrophy mice. Mol Cell Neurosci. 2016;70:30–41. doi: 10.1016/j.mcn.2015.11.007. [DOI] [PubMed] [Google Scholar]
- 108.Voigt T, Neve A, Schümperli D. The craniosacral progression of muscle development influences the emergence of neuromuscular junction alterations in a severe murine model for spinal muscular atrophy. Neuropathol Appl Neurobiol. 2014;40:416–434. doi: 10.1111/nan.12064. [DOI] [PubMed] [Google Scholar]
- 109.Calvo SE, Mootha VK. The mitochondrial proteome and human disease. Annu Rev Genom Hum Genet. 2010;11:25–44. doi: 10.1146/annurev-genom-082509-141720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Chacinska A, Koehler CM, Milenkovic D, et al. Importing mitochondrial proteins: machineries and mechanisms. Cell. 2009;138:628–644. doi: 10.1016/j.cell.2009.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Ando S, Funato M, Ohuchi K, et al. The protective effects of Levetiracetam on a human iPSCs-derived spinal muscular atrophy model. Neurochem Res. 2019;44:1773–1779. doi: 10.1007/s11064-019-02814-4. [DOI] [PubMed] [Google Scholar]
- 112.Lotti F, Imlach WL, Saieva L, et al. An SMN-dependent U12 splicing event essential for motor circuit function. Cell. 2012;151:440–454. doi: 10.1016/j.cell.2012.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Van Alstyne M, Lotti F, Dal Mas A, et al. Stasimon/Tmem41b localizes to mitochondria-associated ER membranes and is essential for mouse embryonic development. Biochem Biophys Res Commun. 2018;506:463–470. doi: 10.1016/j.bbrc.2018.10.073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Xu H, Somers ZB, Robinson ML, Hebert MD. Tim50a, a nuclear isoform of the mitochondrial Tim50, interacts with proteins involved in snRNP biogenesis. BMC Cell Biol. 2005;6:29. doi: 10.1186/1471-2121-6-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Callegari S, Cruz-Zaragoza LD, Rehling P, Rehling P. From TOM to the TIM23 complex—handing over of a precursor. Biol Chem. 2020;401:709–721. doi: 10.1515/hsz-2020-0101. [DOI] [PubMed] [Google Scholar]
- 116.Pagliardini S, Giavazzi A, Setola V, et al. Subcellular localization and axonal transport of the survival motor neuron (SMN) protein in the developing rat spinal cord. Hum Mol Genet. 2000;9:47–56. doi: 10.1093/hmg/9.1.47. [DOI] [PubMed] [Google Scholar]
- 117.Béchade C, Rostaing P, Cisterni C, et al. Subcellular distribution of survival motor neuron (SMN) protein: possible involvement in nucleocytoplasmic and dendritic transport. Eur J Neurosci. 1999;11:293–304. doi: 10.1046/j.1460-9568.1999.00428.x. [DOI] [PubMed] [Google Scholar]
- 118.La Bella V, Kallenbach S, Pettmann B. Expression and subcellular localization of two isoforms of the survival motor neuron protein in different cell types. J Neurosci Res. 2000;62:346–356. doi: 10.1002/1097-4547(20001101)62:3<346::AID-JNR4>3.0.CO;2-D. [DOI] [PubMed] [Google Scholar]
- 119.Upadhyay A, Hosseinibarkooie S, Schneider S, et al. Neurocalcin delta knockout impairs adult neurogenesis whereas half reduction is not pathological. Front Mol Neurosci. 2019;12:19. doi: 10.3389/fnmol.2019.00019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Boos F, Labbadia J, Herrmann JM. How the mitoprotein-induced stress response safeguards the cytosol: a unified view. Trends Cell Biol. 2020;30:241–254. doi: 10.1016/j.tcb.2019.12.003. [DOI] [PubMed] [Google Scholar]
- 121.Gioran A, Chondrogianni N. Mitochondria (cross)talk with proteostatic mechanisms: focusing on ageing and neurodegenerative diseases. Mech Ageing Dev. 2020;190:111324. doi: 10.1016/j.mad.2020.111324. [DOI] [PubMed] [Google Scholar]
- 122.Wiese KE, Nusse R, van Amerongen R. Wnt signalling: conquering complexity. Development. 2018;145:dev165902. doi: 10.1242/dev.165902. [DOI] [PubMed] [Google Scholar]
- 123.Bernkopf DB, Jalal K, Brückner M, et al. Pgam5 released from damaged mitochondria induces mitochondrial biogenesis via Wnt signalling. J Cell Biol. 2018;217:1383–1394. doi: 10.1083/jcb.201708191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Rauschenberger V, Bernkopf DB, Krenn S, et al. The phosphatase Pgam5 antagonizes Wnt/β-catenin signalling in embryonic anterior-posterior axis patterning. Development. 2017;144:2234–2247. doi: 10.1242/dev.144477. [DOI] [PubMed] [Google Scholar]
- 125.Chen G, Han Z, Feng D, et al. A regulatory signalling loop comprising the PGAM5 phosphatase and CK2 controls receptor-mediated mitophagy. Mol Cell. 2014;54:362–377. doi: 10.1016/j.molcel.2014.02.034. [DOI] [PubMed] [Google Scholar]
- 126.Wu H, Xue D, Chen G, et al. The BCL2L1 and PGAM5 axis defines hypoxia-induced receptor-mediated mitophagy. Autophagy. 2014;10:1712–1725. doi: 10.4161/auto.29568. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Hubers L, Valderrama-Carvajal H, Laframboise J, et al. HuD interacts with survival motor neuron protein and can rescue spinal muscular atrophy-like neuronal defects. Hum Mol Genet. 2011;20:553–579. doi: 10.1093/hmg/ddq500. [DOI] [PubMed] [Google Scholar]
- 128.Le Hao T, Duy PQ, An M, et al. HuD and the survival motor neuron protein interact in motoneurons and are essential for motoneuron development, function, and mRNA regulation. J Neurosci. 2017;37:11559–11571. doi: 10.1523/JNEUROSCI.1528-17.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Hong Y, Tak H, Kim C, et al. RNA binding protein HuD contributes to β-cell dysfunction by impairing mitochondria dynamics. Cell Death Differ. 2020;27:1633–1643. doi: 10.1038/s41418-019-0447-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Groen EJN, Gillingwater TH. UBA1: at the crossroads of ubiquitin homeostasis and neurodegeneration. Trends Mol Med. 2015;21:622–632. doi: 10.1016/j.molmed.2015.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Anding AL, Wang C, Chang TK, et al. Vps13D encodes a ubiquitin-binding protein that is required for the regulation of mitochondrial size and clearance. Curr Biol. 2018;28:287–295. doi: 10.1016/j.cub.2017.11.064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Jády BE, Ketele A, Kiss T. Dynamic association of human mRNP proteins with mitochondrial tRNAs in the cytosol. RNA. 2018;24:1706–1720. doi: 10.1261/rna.066738.118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Hua Y, Vickers TA, Okunola HL, et al. Antisense masking of an hnRNP A1/A2 intronic splicing silencer corrects SMN2 splicing in transgenic mice. Am J Hum Genet. 2008;82:834–848. doi: 10.1016/j.ajhg.2008.01.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Guha M, Hua P, Fang JK, Avadhani NG. Heterogeneous nuclear ribonucleoprotein A2 is a common transcriptional coactivator in the nuclear transcription response to mitochondrial respiratory stress. Mol Biol Cell. 2009;20:4107–4119. doi: 10.1091/mbc.E09-04-0296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Chen C, Turnbull DM, Reeve AK. Mitochondrial dysfunction in Parkinson’s disease—cause or consequence? Biology (Basel) 2019;8:38. doi: 10.3390/biology8020038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Wang W, Zhao F, Ma X, et al. Mitochondria dysfunction in the pathogenesis of Alzheimer’s disease: recent advances. Mol Neurodegener. 2020;15:30. doi: 10.1186/s13024-020-00376-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Chandel NS. Mitochondria as signalling organelles. BMC Biol. 2014;12:34. doi: 10.1186/1741-7007-12-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Mottis A, Herzig S, Auwerx J. Mitocellular communication: shaping health and disease. Science. 2019;366:827–832. doi: 10.1126/science.aax3768. [DOI] [PubMed] [Google Scholar]
- 139.Tan JX, Finkel T. Mitochondria as intracellular signalling platforms in health and disease. J Cell Biol. 2020;219:e202002179. doi: 10.1083/jcb.202002179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Owusu-Ansah E, Yavari A, Mandal S, Banerjee U. Distinct mitochondrial retrograde signals control the G1-S cell cycle checkpoint. Nat Genet. 2008;40:356–361. doi: 10.1038/ng.2007.50. [DOI] [PubMed] [Google Scholar]
- 141.Wang Z, Fan M, Candas D, et al. Cyclin B1/Cdk1 coordinates mitochondrial respiration for cell-cycle G2/M progression. Dev Cell. 2014;29:217–232. doi: 10.1016/j.devcel.2014.03.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Han Y, Ishibashi S, Iglesias-Gonzalez J, et al. Ca2+-induced mitochondrial ROS regulate the early embryonic cell cycle. Cell Rep. 2018;22:218–231. doi: 10.1016/j.celrep.2017.12.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Kasahara A, Cipolat S, Chen Y, et al. Mitochondrial fusion directs cardiomyocyte differentiation via calcineurin and notch signalling. Science. 2013;342:734–737. doi: 10.1126/science.1241359. [DOI] [PubMed] [Google Scholar]
- 144.Iwata R, Casimir P, Vanderhaeghen P. Mitochondrial dynamics in postmitotic cells regulate neurogenesis. Science. 2020;369:858–862. doi: 10.1126/science.aba9760. [DOI] [PubMed] [Google Scholar]
- 145.Pérez MJ, Quintanilla RA. Development or disease: duality of the mitochondrial permeability transition pore. Dev Biol. 2017;426:1–7. doi: 10.1016/j.ydbio.2017.04.018. [DOI] [PubMed] [Google Scholar]
- 146.Bordet T, Berna P, Abitbol JL, Pruss RM. Olesoxime (TRO19622): a novel mitochondrial-targeted neuroprotective compound. Pharmaceuticals (Basel) 2010;3:345–368. doi: 10.3390/ph3020345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Bertini E, Dessaud E, Mercuri E, et al. Safety and efficacy of olesoxime in patients with type 2 or non-ambulatory type 3 spinal muscular atrophy: a randomised, double-blind, placebo-controlled phase 2 trial. Lancet Neurol. 2017;16:513–522. doi: 10.1016/S1474-4422(17)30085-6. [DOI] [PubMed] [Google Scholar]
- 148.Semenza GL, Roth PH, Fang HM, Wang GL. Transcriptional regulation of genes encoding glycolytic enzymes by hypoxia-inducible factor 1. J Biol Chem. 1994;269:23757–23763. doi: 10.1016/S0021-9258(17)31580-6. [DOI] [PubMed] [Google Scholar]
- 149.Li X, Jiang Y, Meisenhelder J, et al. Mitochondria-translocated PGK1 functions as a protein kinase to coordinate glycolysis and the TCA cycle in tumorigenesis. Mol Cell. 2016;61:705–719. doi: 10.1016/j.molcel.2016.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Picard M, McEwen BS, Epel ES, Sandi C. An energetic view of stress: focus on mitochondria. Front Neuroendocrinol. 2018;49:72–85. doi: 10.1016/j.yfrne.2018.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Chali F, Desseille C, Houdebine L, et al. Long-term exercise-specific neuroprotection in spinal muscular atrophy-like mice. J Physiol. 2016;594:1931–1952. doi: 10.1113/JP271361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Bartels B, Montes J, Van Der Pol WL, De Groot JF. Physical exercise training for type 3 spinal muscular atrophy. Cochrane Database Syst Rev. 2019;3:CD012120. doi: 10.1002/14651858.CD012120.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Moore GE, Lindenmayer AW, McConchie GA, et al. Describing nutrition in spinal muscular atrophy: a systematic review. Neuromuscul Disord. 2016;26:395–404. doi: 10.1016/j.nmd.2016.05.005. [DOI] [PubMed] [Google Scholar]
- 154.Markowicz-Piasecka M, Sikora J, Szydłowska A, et al. Metformin—a future therapy for neurodegenerative diseases: theme: drug discovery, development and delivery in Alzheimer’s disease guest editor: Davide Brambilla. Pharm Res. 2017;34:2614–2627. doi: 10.1007/s11095-017-2199-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Andrade S, Ramalho MJ, Pereira MDC, Loureiro JA. Resveratrol brain delivery for neurological disorders prevention and treatment. Front Pharmacol. 2018;9:1261. doi: 10.3389/fphar.2018.01261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Murphy MP, Hartley RC. Mitochondria as a therapeutic target for common pathologies. Nat Rev Drug Discov. 2018;17:865–886. doi: 10.1038/nrd.2018.174. [DOI] [PubMed] [Google Scholar]
- 157.Weissig V. Drug development for the therapy of mitochondrial diseases. Trends Mol Med. 2020;26:40–57. doi: 10.1016/j.molmed.2019.09.002. [DOI] [PubMed] [Google Scholar]
- 158.Hong N. Photobiomodulation as a treatment for neurodegenerative disorders: current and future trends. Biomed Eng Lett. 2019;9:359–366. doi: 10.1007/s13534-019-00115-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Yang L, Youngblood H, Wu C, Zhang Q. Mitochondria as a target for neuroprotection: role of methylene blue and photobiomodulation. Transl Neurodegener. 2020;9:19. doi: 10.1186/s40035-020-00197-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Serrage HJ, Joanisse S, Cooper PR, et al. Differential responses of myoblasts and myotubes to photobiomodulation are associated with mitochondrial number. J Biophotonics. 2019;12:e201800411. doi: 10.1002/jbio.201800411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Wang R, Dong Y, Lu Y, et al. Photobiomodulation for global cerebral ischemia: targeting mitochondrial dynamics and functions. Mol Neurobiol. 2019;56:1852–1869. doi: 10.1007/s12035-018-1191-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Ferraresi C, Kaippert B, Avci P, et al. Low-level laser (light) therapy increases mitochondrial membrane potential and ATP synthesis in C2C12 myotubes with a peak response at 3–6 h. Photochem Photobiol. 2015;91:411–416. doi: 10.1111/php.12397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Chang SY, Lee MY, Chung PS, et al. Enhanced mitochondrial membrane potential and ATP synthesis by photobiomodulation increases viability of the auditory cell line after gentamicin-induced intrinsic apoptosis. Sci Rep. 2019;9:19248. doi: 10.1038/s41598-019-55711-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Hamblin MR. Mechanisms and mitochondrial redox signalling in photobiomodulation. Photochem Photobiol. 2018;94:199–212. doi: 10.1111/php.12864. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165.Vanin AA, Verhagen E, Barboza SD, et al. Photobiomodulation therapy for the improvement of muscular performance and reduction of muscular fatigue associated with exercise in healthy people: a systematic review and meta-analysis. Lasers Med Sci. 2018;33:181–214. doi: 10.1007/s10103-017-2368-6. [DOI] [PubMed] [Google Scholar]
- 166.Zhang Z, Shen Q, Wu X, et al. Activation of PKA/SIRT1 signalling pathway by photobiomodulation therapy reduces Aβ levels in Alzheimer’s disease models. Aging Cell. 2020;19:e13054. doi: 10.1111/acel.13054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.McCully JD, Levitsky S, del Nido PJ, Cowan DB. Mitochondrial transplantation for therapeutic use. Clin Transl Med. 2016;5:16. doi: 10.1186/s40169-016-0095-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Gollihue JL, Rabchevsky AG. Prospects for therapeutic mitochondrial transplantation. Mitochondrion. 2017;35:70–79. doi: 10.1016/j.mito.2017.05.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Bertero E, Maack C, O’Rourke B. Mitochondrial transplantation in humans: “magical” cure or cause for concern? J Clin Investig. 2018;128:5191–5194. doi: 10.1172/JCI124944. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Lightowlers RN, Chrzanowska-Lightowlers ZM, Russell OM. Mitochondrial transplantation—a possible therapeutic for mitochondrial dysfunction? EMBO Rep. 2020;21:e50964. doi: 10.15252/embr.202050964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Rogers RS, Bhattacharya J. When cells become organelle donors. Physiology. 2013;28:414–422. doi: 10.1152/physiol.00032.2013. [DOI] [PubMed] [Google Scholar]
- 172.Hayakawa K, Esposito E, Wang X, et al. Transfer of mitochondria from astrocytes to neurons after stroke. Nature. 2016;535:551–555. doi: 10.1038/nature18928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Babenko VA, Silachev DN, Zorova LD, et al. Improving the post-stroke therapeutic potency of mesenchymal multipotent stromal cells by cocultivation with cortical neurons: the role of crosstalk between cells. Stem Cells Transl Med. 2015;4:1011–1020. doi: 10.5966/sctm.2015-0010. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Not applicable.
Not applicable.