Abstract
Exercise preserves neuromuscular function in aging through unknown mechanisms. Skeletal muscle fibroblasts (FIB) and stem cells (MuSC) are abundant in skeletal muscle and reside close to neuromuscular junctions, but their relative roles in motor neuron maintenance remain undescribed. Using direct cocultures of embryonic rat motor neurons with either human MuSC or FIB, RNA sequencing revealed profound differential regulation of the motor neuron transcriptome, with FIB generally favoring neuron growth and cell migration and MuSC favoring production of ribosomes and translational machinery. Conditioned medium from FIB was superior to MuSC in preserving motor neurons and increasing their maturity. Lastly, we established the importance of donor age and exercise status and found an age‐related distortion of motor neuron and muscle cell interaction that was fully mitigated by lifelong physical activity. In conclusion, we show that human muscle FIB and MuSC synergistically stimulate the growth and viability of motor neurons, which is further amplified by regular exercise.
Keywords: aging, neural plasticity, neurodegeneration, sarcopenia, satellite stem cell, skeletal muscle, training
Muscle biopsies were taken from males and females differing in age and exercise habits. Mononucleated cells were isolated and purified into muscle stem cells (MuSC) and muscle fibroblasts (FIB). Neurons were isolated from E14 rat embryos and motor neurons were enriched by density gradient centrifugation. Human (MuSC and FIB) and rat (neurons) cells were used direct co cultures and conditioned medium experiments. Motor neuron gene expression was synergistically regulated by MuSC and FIB, and muscle cells of lifelong exercisers preserved the number of motor neurons. Conditioned medium of FIB was superior to MuSC in stimulating neurite growth and increasing motor neuron maturity.

Abbreviations
- BDNF
Brain Derived Neurotrophic Factor
- CAF
C‐terminal Agrin Fragment
- ChAT
Choline Acetyltransferase
- CNTF
Ciliary Derived Neurotrophic Factor
- CSA
cross‐sectional area
- DEGs
differentially expressed genes
- DEXA
dual‐energy X‐ray absorptiometry
- FBS
fetal bovine serum
- FIB
muscle fibroblasts
- GDNF
Glial Derived Neurotrophic Factor
- LLEX
old lifelong exercisers
- MuSC
muscle stem cells
- MVC
maximal voluntary contraction
- NMJ
neuromuscular junction
- SED
old sedentary
1. INTRODUCTION
The number of alpha motor neurons in the spinal cord declines with age (McNeil et al., 2005; Tomlinson & Irving, 1977), leading to muscle fiber denervation (Soendenbroe et al., 2021), that if not resolved, causes irreversible loss of muscle fibers (Lexell et al., 1988; McPhee et al., 2018). Lost muscle fibers are replaced by fibrotic tissue (Madaro et al., 2018), driven by activation of the mesenchymal fibroblast cells (Gatchalian et al., 1989; Rebolledo et al., 2019). Muscle fibroblasts (FIB) reside between muscle fibers, constitute ≈10%–15% of all nuclei in muscle (Petrany et al., 2020), and are necessary for efficient recovery following muscle injury (Murphy et al., 2011; Wosczyna & Rando, 2018). Upon denervation, fibroblasts are stimulated to proliferate, especially in junctional regions (Connor & McMahan, 1987), and it has long been speculated that they might facilitate nerve outgrowth by producing adhesive molecules, such as Neural‐Cell‐Adhesion‐Molecule and Fibronectin (Gatchalian et al., 1989), remodel the extracellular matrix (Nicoletti et al., 2023), or secrete neurotrophic factors (Theret et al., 2021). Moreover, depletion of PDGFRα+ positive cells, a marker of the mesenchymal fibro‐adipogenic progenitor cell, that gives rise to FIB, leads to more partial and fully denervated neuromuscular junctions (NMJ) (Uezumi et al., 2021), hinting at a role for FIB in securing and maintaining muscle innervation. Muscle stem cells (MuSC) play a pivotal role in regeneration following muscle injury (Lepper et al., 2011), and recent studies have highlighted substantial cell heterogeneity (Barruet et al., 2020) and involvement in a multitude of cellular processes (Murach et al., 2021), including maintaining muscle innervation (Liu et al., 2017). In vitro, MuSC communicate with motor neurons directly through retrograde signaling (Mills et al., 2018) and indirectly through secretion of circulating factors (Montoya et al., 2009). Yet, the relative importance of FIB and MuSC interaction with motor neurons, through direct and indirect means, has not been studied.
Although still debated (Castro et al., 2023; Chai et al., 2011), the decay of motor neurons is believed to begin during middle age leading to an often temporary denervation of muscle fibers (Tomlinson & Irving, 1977), as they are rescued by collateral reinnervation by closely located axon terminals (Deschenes, 2011). By electromyography, this presents as larger and more complex motor units (Jones et al., 2021). Later in life, the decay of motor neurons accelerates and/or the efficiency of reinnervation declines, leading to permanent denervation of muscle fibers (Snow et al., 2005). Both animal and human studies have indicated that exercise mitigates some of the detrimental age‐effects on the neuromuscular system (Hepple & Rice, 2016). In addition to superior physical function, master athletes show attenuated signs of denervation and larger motor units (Power et al., 2010; Sonjak et al., 2019), while heavy resistance exercise reduces muscle markers of denervation in older individuals (Soendenbroe, Heisterberg, et al., 2022), suggesting retained plasticity in the neuromuscular system of aged individuals. Importantly, the protective effect of exercise is partly driven by improving the ability to reinnervate denervated muscle fibers, whereas the effect of exercise on the preservation of motor neurons remains unexplored.
Here, we tested the hypothesis that FIB, in addition to MuSC, interact with motor neurons through both direct and indirect means. We found that the motor neuron transcriptome was profoundly altered when directly exposed to FIB compared to MuSC. FIB upregulated pathways related to neuron growth and cell migration, highlighting an important role in stimulating motor neurons. Motor neurons cultured in conditioned medium from FIB showed overall higher survival, and higher expression of the mature motor neuron marker, Choline Acetyltransferase (ChAT), than when cultured in medium from MuSC. Finally, we investigated the effect of donor age and exercise status upon the motor neuron transcriptome. Lifelong exercisers were phenotypically different from sedentary individuals, with higher muscle function and lower circulating levels of the neuromuscular disturbance biomarker, C‐terminal Agrin Fragment. In vitro, this effect translated into higher survival of motor neurons when exposed to FIB and MuSC from exercisers compared to sedentary individuals. Together, our findings highlight that motor neurons are positively influenced by cells from lifelong exercisers, and that FIB in particular may be a key player in maintaining neuromuscular function in aging.
2. RESULTS
2.1. Differential regulation of motor neuron gene expression by muscle stem cells and fibroblasts
Fibroblasts reside in the interstitial space in muscle and are often observed close to NMJs (Uezumi et al., 2021). To investigate if and how fibroblasts influence the motor neuron transcriptome, a direct cell culture model was established, using primary motor neurons isolated and purified from E14 rat embryos (Mars et al., 2001), and primary human MuSC and FIB isolated and purified from human muscle biopsies (Agley et al., 2013). The compatibility of human muscle cells with rat motor neurons was confirmed by generating highly differentiated myotubes that contracted only when cultured with spinal cord explants (Movie S1–, S3).
Species‐specific RNA sequencing was analyzed for 14 male participants, containing highly pure fractions of both MuSC and FIB (Figure 1a). The participants represented were young (n = 4, Young), old sedentary (n = 4, SED) and old lifelong exercisers (n = 6, LLEX). MuSC or FIB were cultured alone for 24 h, after which motor neurons were added, and the cultures continued for another 24 h (Figure 1b). FIB was clearly different from MuSC, with 6968 and 6699 human genes upregulated or downregulated in MuSC compared to FIB, respectively, corresponding to 27% of all detected genes (FDR < 0.05, Figure 1c). Both FIB and MuSC expressed several well‐known canonical or cell‐type specific markers such as PDGFRα (FIB) and MYH7, MYH2, CASQ2, PAX7, MYL2, and TNNC1 (MuSC). Additionally, FIB expressed markers that, using single‐cell RNA sequencing, have been used to identify specific mesenchymal cell subpopulations (Karlsen et al., 2023; Negroni et al., 2022), such as DCN, CD34, and COL6a3.
FIGURE 1.

Differential regulation of motor neuron gene expression by muscle stem cells and fibroblasts. (a) Representative image of MuSC (red = desmin) and FIB (blue = Te7) in vitro. Scale bar, 100 μm. (b) Experimental setup of direct coculture experiments: E14 rat motor neurons were plated on human primary MuSC or FIB for 1 day and analyzed by RNA sequencing. (c) Volcano plot showing differentially regulated human MuSC versus FIB genes. Blue and red are upregulated in FIB and MuSC, respectively. Cell type specific markers are highlighted. (d) Volcano plot showing differentially regulated rat genes upon exposure to human MuSC versus FIB. Blue and red are upregulated with FIB and MuSC, respectively. Top 10 lowest FDR, and Top 10 highest log2FoldDifference for each cell type is highlighted. (e) Pathway analysis showing top‐10 GO‐BP, GO‐CC and GO‐MF terms upregulated in motor neurons exposed to MuSC versus FIB. (f) Pathway analysis showing top‐10 GO‐BP, GO‐CC and GO‐MF terms upregulated in motor neurons exposed to FIB versus MuSC. Level of significance is indicated by color. Number of differentially regulated genes and total number of genes is indicated for each term. (c–f) Human n: Paired MuSC and FIB from 14 individuals. Rat n: Embryos from 7 dams. Statistics: Data were analyzed with DESeq2 and TopGO (elim), see bioinformatics section. FIB, muscle fibroblast; MuSC, muscle stem cell.
For motor neurons (rat genome), it was observed that 1288 and 1285 genes were upregulated or downregulated when cultured with MuSC compared to FIB, respectively, corresponding to 11% of all detected genes (FDR < 0.05, Figure 1d). These included genes involved in many different processes, such as Olfml2α, involved in extracellular matrix binding activity, Wnt6, involved in secretion of signaling proteins and Cd38, involved in intracellular calcium metabolism.
To probe whether key neuronal processes were affected by cell type, pathway analyses were conducted using Gene Ontology (GO‐terms) (FDR < 0.05, Figure 1e,f). In all cases, the top 10 pathways are shown. Within the GO Biological Processes (GO‐BP) domain, MuSC mostly increased pathways associated with ribosomes and translation, whereas FIB increased several pathways associated with neurons and their projection of neurites. Similarly, within the GO Cellular Components (GO‐CC) domain, MuSC increased a pathway associated with “synapse”, and other pathways, such as “focal adhesion”, “extracellular space” and “basement membrane”. In contrast, FIB increased several pathways associated with neurite growth, such as “terminal bouton”, “dendrite” and “neuronal cell body”.
Motor neuron‐specific genes were identified from two single‐cell RNA sequencing data sets of murine spinal cord cells and the regulation of these genes in the present data set was investigated (FDR < 0.05, Figure 2a,b). In a study by Delile et al., analyzing spinal cord cells during different stages of development (Delile et al., 2019), 38 genes specifically expressed in motor neurons were identified (Figure 2a). A second study, by Blum et al., identified 33 genes specific to motor neurons in adult mice (Blum et al., 2021) (Figure 2b). The 71 extracted genes included established motor neuron markers, such as Ret (embryonic) and Chat (mature), but also genes not previously associated with motor neurons. Interestingly, in our sequencing data, 23 out of 25 differentially expressed genes (DEGs) showed higher expression in the rat cells exposed to FIB compared to MuSC. These genes include Ret and Chat, but also less established marker genes such as Slc5a7, Pcdh7, and Megf11. The genes favored by MuSC compared to FIB were Nr2f2 and Ebf2, two transcription factors involved in several developmental processes. Of special note, two genes involved in chemical synapse transmission, Sv2c and Slc5a7, and one gene in neurogenesis, Tubb3, were all upregulated in FIB compared to MuSC.
FIGURE 2.

Motor neuron‐specific genes are upregulated by fibroblasts. Motor neuron‐specific genes identified from two single‐cell RNA sequencing data sets of murine spinal cord cells. (a) Volcano plot showing differentially regulated rat motor neuron‐specific genes from reference (Karlsen et al., 2023) upon exposure to human MuSC versus FIB. Blue and red are upregulated with FIB and MuSC, respectively. (b) Volcano plot showing differentially regulated rat motor neuron‐specific genes from reference (Delile et al., 2019) upon exposure to human MuSC versus FIB. Blue and red are upregulated with FIB and MuSC, respectively. Human n: Paired MuSC and FIB from 14 individuals. Rat n: Embryos from 7 dams. Statistics: Data were analyzed with DESeq2, see bioinformatics section. FIB, muscle fibroblast; MuSC, muscle stem cell.
2.2. Fibroblast‐conditioned medium preserves motor neurons and increases their maturity
Next, we wanted to explore whether conditioned medium from FIB or MuSC, containing all secreted factors, evoked changes in motor neuron growth and viability (Figure 3a). To do that, primary muscle cells were isolated from muscle biopsies collected from 10 younger and 10 older female participants. The cells were expanded in culture, sorted into highly pure fractions of FIB or MuSC and allowed to differentiate for 7 days, during which conditioned medium was collected. The younger and older participants were phenotypically different, as evidenced by differences in muscle strength and muscle fiber size (Figure 3b). Furthermore, as previously reported, the MuSC of older participants demonstrated impaired fusion capacity compared to younger participants (Bechshøft et al., 2019). Conditioned medium from FIB and MuSC was added to motor neurons cultures for 1 and 2 days, and the cells were analyzed by RNA sequencing and immunofluorescence using ChAT (mature motor neurons) and Tau1 (all neurites).
FIGURE 3.

Fibroblast conditioned medium preserves motor neurons and increases their maturity. (a) Experimental setup of conditioned medium experiments: E14 rat motor neurons were plated in Poly‐L‐Ornithine and laminin coated wells, in 40% conditioned medium from MuSC or FIB, and analysed after 1 and 2 days by immunocytochemistry and RNA sequencing. (b) One‐repetition maximum and muscle fiber cross‐sectional area. Data are means ± SEM. Statistics: Data were analyzed by unpaired two‐tailed t‐tests.* indicates p < 0.05, ****p < 0.0001. Representative image muscle cross‐section immunofluorescently stained with dystrophin. Scale bar, 100 μm. (c) Example of entire coverslip used for analysis. Insert shows zoomed‐in area. Scale bar, 250 μm. Magenta = ChAT, gray = Tau1. (d–g) Immunocytochemical analyses of Tau1+ and ChAT+ cells, either per area (d, f), or as a percentage of all cells (e, g), after 1 (d, e) and 2 (f, g) days. Data are means ± SEM. Human n: Old: 10, Young: 10. Rat n: 7. Statistics: Data were analyzed by two‐way repeated measures ANOVA (age group × cell type), with Fisher's LSD posthoc test. Main effects are written and post hoc tests indicated by *p < 0.05, **p < 0.01. (h) Differentially regulated rat genes upon exposure to human MuSC versus FIB after 1 day, displayed as paired values. Blue and red is FIB and MuSC, respectively. N: Old: 10, Young: 9. Rat n: 7. Data were analyzed with DESeq2, see bioinformatics section. FIB, muscle fibroblast; MuSC, muscle stem cell.
While there was no effect of age, exposing motor neurons to conditioned medium from FIB for 1 day increased the number of ChAT+ and Tau1+ChAT+ motor neurons per mm2, while also increasing the percentages of Tau1+ neurons, and ChAT+ and Tau1+ChAT+ motor neurons compared to MuSC conditioned medium (Figure 3d,e). The latter cell type differences were observed in both age groups. Similarly, after 2 days of culture, where neurons continued to thrive, a similar pattern for superior support from FIB versus MuSC was observed and was even more substantial (Figure 3f,g).
We then continued to explore differences in the rat cells at the gene expression level and found two upregulated (Cxcl12 and H19) and three downregulated (Tshz3, Dlk1, and Efna3) genes with conditioned medium from MuSC compared to FIB, respectively, corresponding to 0.02% of the total gene pool to be influenced (FDR < 0.05, Figure 3h). Of these five DEGs, Efna3, and Cxcl12 appear to have the most relevance to neuronal processes, as Efna3 is involved in axon guidance (Wang et al., 2016) and fiber type determination during development (Stark et al., 2015), and Cxcl12 is known to promote NMJ regeneration and axonal extension (Negro et al., 2017). We observed that Efna3 was higher in FIB compared to MuSC, and Cxcl12 was higher in MuSC compared to FIB, suggesting that FIB and MuSC have complementary effects on motor neurons. Tshz3, Dlk1 and H19 have also been linked to various neuronal processes (Caubit et al., 2010; Gao et al., 2024; Sun & Jin, 2023). Of note, all five DEGs were also detected in the direct coculture experiments, where two of them (Tshz3 and Dlk1) were similar between FIB and MuSC conditions, Efna3 was higher in FIB compared to MuSC, and both Cxcl12 and H19 were higher in MuSC compared to FIB.
2.3. Sedentary aging is associated with reduced muscle performance and neuromuscular disturbance
Next, we wanted to explore whether lifelong recreational exercise confers protective effects on motor neurons. To that end, men who had been recreationally active for most of their life were compared with a sedentary control group of similar age, as well as with a young sedentary control group. These individuals were part of a larger study, in which we have previously shown that lifelong exercise is associated with preserved muscle content of MuSCs and better muscle innervation status (Soendenbroe, Dahl, et al., 2022). Despite leg lean mass being similar between groups, isometric maximum voluntary contraction (MVC) strength was 39 and 26% lower in the old SED and LLEX, respectively, compared to Young (Figure 4b,c). This in turn translated into a 33 and 21% difference between Young and SED and LLEX, respectively, in muscle quality, as assessed by the specific force index (Figure 4d). The 7 participants in LLEX had vastly different training backgrounds, not all performing activities requiring maximal force output. As such, we wanted to evaluate their capacity to repeatedly perform maximal force output under fatiguing conditions, as this more closely resembled their normal activities (resistance exercise, football, cycling, rowing, gymnastics). This was evaluated as a muscle performance index, reflecting an average of the% of MVC sustained during the first, fifth, and tenth repetition performed during eight sets of concentric knee extensions. As expected, LLEX performed 14% better than SED, but surprisingly, LLEX were also 12% better than Young participants (Figure 4e), showing that LLEX were accustomed to exhausting exercise. The immunohistological assessment of the muscle biopsies revealed that muscle fiber size was 39% smaller in SED compared to Young, while no significant difference was observed between LLEX and Young (p = 0.08) (Figure 4g). Lastly, to probe whether these functional and structural differences could be sourced to the neuromuscular system, serum concentration of C‐terminal Agrin Fragment (CAF), a biomarker indicative of neurological impairment was measured. As expected, CAF was elevated in SED compared to both Young and LLEX, while no difference was observed between Young and LLEX (Figure 4f). Together, these data demonstrate clear phenotypic differences of being sedentary or being modestly physically active, throughout life.
FIGURE 4.

Sedentary aging is associated with reduced muscle performance and neuromuscular disturbance in vivo. (a) In vivo characterization of male participants. (b) Leg lean mass, measured by DEXA. (c) Isometric unilateral knee extension MVC, measured in a dynamometer. (d) Specific force, calculated as MVC per leg lean mass. (e) Muscle performance, measured as force exerted during repeated maximal knee extension concentric contractions, expressed relative to MVC. (f) CAF, measured in plasma by ELISA. Statistical analysis was conducted on log transformed values. (g) Muscle fiber cross sectional area measured using immunohistochemical analyses of muscle biopsy cross‐sections. All data are means ± SEM except CAF which is shown as geometric means with 95% CI. N: LLEX: 7, SED: 6, Young: 9. Statistics: Data were analyzed by unpaired two‐tailed t‐tests, with significance indicated by *p < 0.05, **p < 0.01, ***p < 0.001. CAF, C‐terminal Agrin Fragment; DEXA, dual‐energy X‐ray absorptiometry; MVC, maximal voluntary contraction.
2.4. Lifelong exercise facilitates motor neuron survival in vitro
Using the same experiment as in Figure 1, but now focusing on group rather than cell type differences, we aimed to investigate the influence of donor age and exercise background, on motor neuron survival and neurite growth (Figure 5a,b). Motor neurons were cocultured with either FIB or MuSC for 1 and 2 days, and then processed for immunocytochemistry and RNA sequencing. The immunocytochemical analyses revealed that 53% more motor neurons survived when exposed to MuSC from LLEX compared to SED, with no significant difference between LLEX and Young (Figure 5c). This finding was mirrored in FIB conditions (Figure 5d). In both FIB and MuSC conditions, no differences between groups were observed for number or length of neurites.
FIGURE 5.

Lifelong exercise facilitates motor neuron survival in vitro. (a) Experimental setup of direct coculture experiments: Motor neurons were plated on MuSC and FIB isolated from muscles of Young, LLEX and SED, for 1 day and analyzed by immunocytochemistry and RNA sequencing. (b) Representative image cocultures stained with ChAT (red), Tau1 (green) and nuclei (gray). Scale bar, 100 μm. (c, d) Number of Tau1+ and ChAT+ cells, number of neurites and length of neurites in MuSC (c) and FIB (d) conditions. Data are shown as means ± SEM. Human n (MuSC): LLEX: 7, SED: 6, Young: 9. Human n (FIB): LLEX: 5, SED: 4, Young: 6. Rat n: 7. Statistics: Data were analyzed by unpaired two‐tailed t‐tests, with significance indicated by *p < 0.05. FIB, muscle fibroblast; MuSC, muscle stem cell.
At the gene expression level, after FDR adjustment, there were 6 and 2 DEGs in MuSC and FIB, respectively, when comparing Young with Old (LLEX and SED combined) (FDR < 0.05, Figure S1). PCDH10, CDH8, GABRB2, and ENSG00000236536 were higher in MuSC from Old compared to Young, while NEFH and TINAGL1 were higher in Young compared to Old. In FIB, TRHDE‐AS1 was higher in Old and RANBP17 was higher in Young.
3. DISCUSSION
Fibroblasts (FIBs) and their precursors, the fibro‐adipogenic progenitors, are abundant interstitial cells in skeletal muscle (Petrany et al., 2020), that are required for maintaining tissue homeostasis and supporting regeneration following injury (Wosczyna et al., 2019). Recent studies highlight a role for FIB in facilitating and maintaining muscle innervation, accomplished indirectly through interactions with Schwann cells (Uezumi et al., 2021), glial cells (Nicoletti et al., 2023) and regulatory T cells (Wang et al., 2020). However, an incomplete understanding of how FIB interacts directly with motor neurons precludes targeted molecular interventions. We have now demonstrated that motor neuron gene expression is profoundly altered when exposed directly to FIBs compared to muscle stem cells (MuSC); established that conditioned medium of FIBs is superior to MuSC in promoting motor neuron maturation and neurite growth; and showed that survival of motor neurons is influenced by age and exercise status of muscle cell donors. These findings raise several points of interest.
The interaction of motor neurons with other cell types is predominantly focused on MuSC (Mis et al., 2017), likely owing to their importance in donating myonuclei to the muscle fiber itself (Murach et al., 2021). Yet, a recent focus on other, nonmyogenic cells, such as FIB and fibro‐adipogenic progenitors (Theret et al., 2021), has shown interactions between them and motor neurons, albeit mediated through tertiary cells (Nicoletti et al., 2023; Uezumi et al., 2021; Wang et al., 2020). In the present study, motor neuron transcriptome was profoundly altered when exposed to FIB compared to MuSC, suggesting that FIB may interact with motor neurons through cell‐to‐cell contact. A high abundance of upregulated pathways associated with neurite growth further posits FIB as a key regular of neuritogenesis, which, in addition to their well‐known remodeling of extracellular matrix (Theret et al., 2021), highlights a key role in establishing and maintaining muscle innervation. This extends the findings of Uezumi et al., who showed, in mice, that depletion of fibro‐adipogenic progenitors increased the number of partially and fully denervated NMJs (Uezumi et al., 2021). Through subsequent in vitro experiments they observed a signaling cascade going from fibro‐adipogenic progenitors through Schwann cells, which encapsulate NMJs and intramuscular nerves (Barik et al., 2016), to motor neurons. Our findings promote FIB to being a cell that, equivalent to MuSC (Mills et al., 2018), directly stimulates neuritogenesis, which again underscores that maintenance of muscle innervation is a synergistic endeavor involving multiple cell types. While a decline in MuSC numbers with aging is well‐described in both human and rodent muscle (Verdijk et al., 2014), much less is known about changes in number and/or profile of FIBs with aging. In mice, studies have shown that the number of fibro‐adipogenic progenitors might increase (Garcia‐Carrizo et al., 2023) or decrease (Lukjanenko et al., 2019) with aging, and it has also been shown that aging primes the cells for fibrogenesis (Lukjanenko et al., 2019). In humans it is known that the number of FIBs increases during muscle regeneration (Mackey et al., 2017) and that the quadriceps muscles of ACL injured legs is enriched in FIBs (Fry et al., 2017). Taken together, it remains unclear how aging, especially in conjunction with exercise, modulates the number and profile of FIBs.
Overall, the arrangement that FIB, in synergy with MuSCs, exert a direct, nonmediated effect on motor neurons is feasible. This is so, as there is a close anatomical proximity of these cells to both NMJs and intramuscular nerves (Uezumi et al., 2021), through which factors can be taken up and transported retrogradely to the motor neuron in the spinal cord (Chakkalakal et al., 2010). To that end, we have previously shown that cerebellar granule neurons isolated from 7‐day‐old Wistar rats, benefitted from the presences of human MuSC (Tamáš et al., 2021). Furthermore, Englund et al., showed that MuSC depletion altered the NCAM1 interactions pathway (Englund et al., 2021), indicative of disturbed neuromuscular signaling (Soendenbroe et al., 2019). Further, it can be speculated that FIB, similar to MuSC, secrete molecules that are taken up in capillaries, enter general circulation, and exert endocrine functions in other tissues (Pedersen, 2019). Crucially, the exact origins of most secreted factors from skeletal muscle, of which there are hundreds or even thousands (Florin et al., 2020), remain unclear. It is however clear that muscle‐derived factors can be both neuro‐hostile or neuro‐supportive in nature (Zahavi et al., 2015), which is further underscored by studies with Amyotrophic Lateral Sclerosis muscle cells which secrete neuro‐toxic vesicles (Le Gall et al., 2022). As such, the beneficial effect of FIB‐conditioned medium on motor neuron maturity and viability, in direct comparison with MuSC‐conditioned medium, observed in the present study, suggests that FIBs from healthy young and older adults, in general, are a source of neuro supportive factors. As an example of this, Yoo et al., recently provided evidence in mice that fibro‐adipogenic progenitors, sense peripheral nerve injury and respond by increasing BDNF expression (Yoo et al., 2024). Through loss‐of‐function experiments this was shown to facilitate nerve regrowth.
MuSCs in vitro, retain key in vivo properties (Stewart & Sharples, 2022), such as improved lipid oxidation in trained compared to sedentary individuals (Lund et al., 2018) and growth capacity in older compared to younger individuals (Bechshøft et al., 2019). Similarly, surgical denervation through nerve transection, which is an extreme model of disuse, increases the number, and alters the transcriptomic profile and in vitro properties of fibro‐adipogenic progenitors (Madaro et al., 2018; Nicoletti et al., 2023). In our cohort of male participants, lifelong exercisers were phenotypically different from their sedentary peers in terms of muscle function and neuromuscular properties. These phenotypic hallmarks were imprinted on both FIB and MuSC in vitro, making them more neuro‐supportive. This finding has important implications for exercise recommendations for the general population. While still debated (Blasco et al., 2020), there is substantial evidence from both human cadaver studies (Kawamura et al., 1977; Mittal & Logmani, 1987; Tomlinson & Irving, 1977) and electrophysiological investigations (McNeil et al., 2005), that the number of motor neurons, or by proxy large‐diameter myelinated axons, decline from around the age of 60 to 70 and is lower in older compared to younger individuals. This irreversible age‐related loss of motor neurons causes muscle fiber denervation (Lukasiewicz et al., 2024), and denervated muscle fibers atrophy and disappear, unless they are reinnervated by adjacent neurites (Soendenbroe et al., 2021). It is believed that for most of life, the capacity to reinnervate is well preserved and clearly outweighs the need. As such, older trained runners have larger motor units and preserved muscle mass compared to nonrunners (Mikkelsen et al., 2013; Power et al., 2010), yet there is clearly also an upper limit for how many muscle fibers each motor neuron can control (Piasecki et al., 2018). So while exercise can, even in advanced age, stimulate muscle fiber reinnervation (Soendenbroe, Heisterberg, et al., 2022), another, equally important parameter for healthy aging is the preservation of motor neurons themselves. The finding herein that both FIB and MuSC from lifelong exercisers preserve motor neurons in vitro, suggests, that for optimal preservation of muscle function with aging, exercise should be initiated prior to the beginning of motor neuron decay. This, in turn, also amplifies the capacity for reinnervation in later stages of aging, as the pool of motor neurons is larger. Moving forward, identifying specific neuroprotective factors driving the observed effects would open for translational in vivo experiments.
This study has limitations and there are outstanding questions for future research. Specifically, the conditioned medium experiments in this study are limited by the lack of control for cell confluence and characterization of the conditioned medium. Differences in rate of growth between MuSC and FIB could lead to differences in the composition of the medium through the depletion or addition of factors by the cells. Furthermore, fibroblast purity was not evaluated by immunofluorescence in the direct coculture study. In addition, different types of exercise lead to specific physiological adaptations (Pillon et al., 2020), and since the lifelong exercisers included in the present study performed many different types of exercise, it is not possible to say which type of exercise is superior for protecting motor neurons. Furthermore, while having access to adult human motor neurons would be beneficial, it is however not possible to isolate sufficient amounts of cells from live (or deceased) humans, necessitating the use of either inducible pluripotent or embryonic stem cells, which has other limitations (Moy et al., 2023).
In conclusion, FIB, MuSC, and motor neurons represent a mutually supporting triad, where cells interact to maintain neuromuscular homeostasis through both direct and indirect means. This occurs in an age and exercise dependent manner, meaning, that while taking up exercise at any age will provide many health benefits, there may be a point of no return when it comes to motor neuron preservation. Optimal preservation of motor neurons may require maintaining an active lifestyle throughout life.
4. MATERIALS AND METHODS
4.1. Experimental design
The study was designed to compare whether and how muscle fibroblasts and muscle stem cells interact with motor neurons. Moreover, we aimed to investigate whether muscle cells, isolated from lifelong exercisers, exerted a protective and supportive effect on motor neurons. These objectives were investigated in vitro using primary muscle cells from human donors and primary motor neurons from rat embryos and were analyzed by immunocytochemistry and species‐specific RNA sequencing. A short period (24–48 h) of coculture was chosen for the experiments, as differences at the gene expression level were expected to be greater initially. All analyses were conducted under blinded conditions (donor, cell type, group). All sample sizes, representing biological replicates, are reported in the material and methods section and in the appropriate figure legends.
4.2. Human participants
Human procedures were approved by The Committees on Health Research Ethics for The Capital Region of Denmark (Ref: H‐19000881, H‐15017223) and were conducted according to the standards set by the Declaration of Helsinki. For this study, isolated muscle cells from 12 younger and 11 older females, as well as 9 younger and 13 older males, were obtained in relation to two previous studies (Bechshøft et al., 2019; Soendenbroe, Dahl, et al., 2022). Of the 13 older males, 7 were life‐long exercisers, having performed various types of physical activity (endurance, strength, and mixed), noncompetitively for most of their lives. Age, height, weight, and BMI were determined for all participants (Table S1). For the females, 1‐repetition maximum strength was determined in unilateral leg extension exercise (details in reference Blum et al., 2021). For the males, leg lean mass was determined by dual‐energy X‐ray absorptiometry (DEXA), maximal voluntary contraction (MVC) was measured in a dynamometer, and a muscle performance index was determined by measuring force output during repeated maximal knee extension concentric contractions (details in reference Soendenbroe, Dahl, et al., 2022). Venipuncture blood samples were collected from the males and vastus lateralis muscle biopsies were collected from all participants, using the Bergström biopsy needle technique (Bergstrom, 1975). A part of the sample was embedded for histology and frozen in liquid nitrogen‐cooled isopentane. The remaining tissue was used to isolate cells for in vitro experiments.
4.3. Muscle cell isolation and sorting
The cell isolation has previously been described in detail (Bechshøft et al., 2019; Soendenbroe, Dahl, et al., 2022). Briefly, muscle tissue was enzymatically and mechanically digested, and the released cells were then cultured in growth medium (C‐23060; PromoCell) with 1% L‐glutamine‐penicillin–streptomycin solution (G6784; Sigma) and 15% fetal bovine serum (FBS; ALB‐S1810, Biowest) for 6–9 days with medium change every 2–3 days. When confluent, cells underwent magnetic‐activated cell sorting using a CD56 antibody (130–050‐401; Miltenyi Biotec), producing a CD56+ fraction consisting of muscle stem cells (MuSC, >90% desmin+) and a CD56‐ fraction consisting of muscle fibroblasts (FIB, <10% desmin+) (Agley et al., 2013). Sorted cells were frozen until used for experiments.
4.4. Animals
The use and care of rats in this study were carried out in accordance with the law on animal experiments in Denmark (Law on Animal Experiments in Denmark, LBK nr. 63, 19 January 2024) and Directive 2010/63/EU with the license number (2017‐15‐0201‐01364) from the Animal Inspectorate, Ministry of Food, Agriculture, and Fisheries, Denmark. No experiments were performed on live animals. A total of 14 timed‐pregnant Sprague–Dawley rats, that were purchased from Taconic Biosciences (Ejby, Denmark), arrived at the research facility, 1 week prior to the experimental procedures. Rats were euthanized by decapitation.
4.5. Motor neuron isolation and purification
To generate primary motor neuron cultures, we adapted a published protocol intended for mice (Jacquier et al., 2019). Briefly, E14 embryos were removed from the womb and decapitated. The spinal cord of each embryo was removed from the body, cleaned of connective tissue, and cut into small pieces. Spinal cord pieces were incubated in 0.025% trypsin (15,090,046, Gibco) for 20 min. at 37°C. Dissociated cells were obtained by multiple trituration steps with 100 μL 4% bovine‐serum albumin (A9418, Sigma‐Aldrich) and 100 μL 1 mg/mL DNase (DN25, Sigma‐Aldrich) diluted in 900 μL L‐15 medium (11,415,049, Gibco), containing 3.5 mg/mL glucose (A2494001, Gibco), 10,000 U/mL Penicillin–Streptomycin (15,140,122, Gibco), 2% heat‐inactivated horse serum (26,050,088, Gibco), 0.02 mM progesterone (P8783, Sigma‐Aldrich), 0.01 mg/mL Insulin (I6634, Sigma‐Aldrich), Putrescin (P5780, Sigma‐Aldrich), Conalbumin (C7786, Sigma‐Aldrich), and 0.001 mg/mL Sodium Selenite (S5261, Sigma‐Aldrich). Motor neuron enrichment at this stage was 3–5%, as determined by immunofluorescence staining with Islet1 + 2 (39.4D5, DSHB). The dissociated cells underwent density gradient centrifugation (830 x g, 15 min., room temperature), using Optiprep (D1556; Sigma‐Aldrich) at a final concentration of 9.5%, increasing the proportion of motor neurons to 30–40%.
4.6. Coculture experiments
Passage 0 MuSCs or FIBs were thawed, cultured in growth medium (C‐23060; PromoCell) with 1% L‐glutamine‐penicillin–streptomycin solution (G6784; Sigma), 15% fetal bovine serum (FBS; ALB‐S1810, Biowest) for 5 days, and then plated at 10,000 cells/cm2, in 24‐well plates containing glass coverslips (day −1). The next day (day 0), motor neurons were added at 5000 cells/cm2, and the medium was changed to a 1:1 mixture of differentiation medium (C‐23260; PromoCell) with 1% L‐glutamine‐penicillin–streptomycin solution (G6784; Sigma) and Neurobasal medium (A3582901; Gibco) with 2% B27 supplement (A3582801; Gibco), 0.25% L‐Glutamine (25,030,032; Thermo Scientific), 1 ng/mL Glial Derived Neurotrophic Factor (450–51; PeProTech), 1 ng/mL Brain Derived Neurotrophic Factor (450–02; PeProTech) and 10 ng/mL Ciliary Derived Neurotrophic Factor (450–50; PeProTech). After 24 h (day 1), experiments were stopped, and the cells were processed for immunofluorescence and RNA extraction.
4.7. Conditioned medium experiments
MuSCs or FIBs were plated at 5000 cells/cm2 in 12‐well plates containing glass coverslips, and grown in growth medium (C‐23060; PromoCell) with 1% L‐glutamine‐penicillin–streptomycin solution (G6784; Sigma) and 15% fetal bovine serum (FBS; ALB‐S1810, Biowest) for 3 days. Cells were then washed, and the medium changed to differentiation medium (C‐23260; PromoCell) with 1% L‐glutamine‐penicillin–streptomycin solution (G6784; Sigma), for 4 days, with a medium change after 2 days. Conditioned medium was collected at day 5 (2 days of differentiation) and 7 (4 days of differentiation), and frozen at −80°C. Morphometric and molecular characteristics of these cells are presented elsewhere (Bechshøft et al., 2019). Motor neurons were plated at 5000 cells/cm2 in 24‐well plates on glass coverslips, coated with 10 μg/mL Poly‐L‐Ornithine (P8638; Sigma‐Aldrich) and 3 μg/mL Laminin (L2020; Sigma‐Aldrich). The conditioned medium from both day 5 and 7 were thawed, pooled, and then centrifuged at 10.000 x g for 5 min at 4°C, to remove cell debris. The neurons were plated in 60% Neurobasal medium (described under coculture experiments) and 40% conditioned medium. After 24 (day 1) and 48 (day 2) hours, experiments were stopped and processed for immunofluorescence and RNA extraction.
4.8. Immunofluorescence, microscopy, and image analyses
Embedded muscle samples were cryosectioned, stained with primary mouse anti‐dystrophin (D8168; Sigma‐Aldrich) and a secondary fluorescent (568 nm) goat anti‐mouse antibody (A‐21144; Invitrogen), and mounted with coverglasses using mounting medium (P36931; Thermo Fisher Scientific) containing 4′,6‐diamidino‐2‐phenylindole (DAPI). Samples were imaged with a 10×/0.30 NA objective and a 0.5× camera (DP71, Olympus) mounted on a BX51 Olympus microscope, and analyzed using a semi‐automated macro built in Fiji (Schindelin et al., 2012) (v. 1.51) (Karlsen et al., 2019), for muscle fiber cross‐sectional area.
Cells were fixed using Histofix (Histolab), and then stained for ChAT (AB144P; Sigma‐Aldrich) and Tau1 (GTX130462; GeneTex) with appropriate fluorescent secondary antibodies (A‐11057, Invitrogen, and 711–545‐152, Jackson ImmunoResearch Laboratories). Coverslips were mounted on slides with mounting medium (P36931; Thermo Fisher Scientific) containing DAPI. For the cocultures, four images were taken at fixed spots (north, south, east, west), with a 10×/0.30 NA objective and a 0.5× camera (DP71, Olympus) mounted on a BX51 Olympus microscope. The images were analyzed in Fiji, using the ObjectJ and SNT (Arshadi et al., 2021) plugins, for number of motor neurons and neurites per area, as well as neurite length per area. For the motor neuron cultures, entire coverslips were imaged with an AxioScan.Z1 slide scanner (Carl Zeiss) using a plan‐apochromat 10×/0.45 NA objective and a MultiBand filter cube (DAPI/FITC/TexasRed) with excitation wavelengths of 353, 493 and 577 nm and both coarse and fine focusing steps. Channels were imaged sequentially with an AxioCam MR R3 and a 10% overlap between images. Merged images were stitched using ZEN blue software (Carl Zeiss) and analyzed using a semi‐automated macro in Fiji. In brief, the DAPI channel was used for segmenting out nuclei using a manually selected threshold for each image. Manual corrections were then made to split clumps of nuclei or add missing nuclei. Subsequently, the intensity of the ChAT and Tau1 signal within each nuclei region was determined and the total area covered by Tau1 signal was measured, using a manual threshold. Intensity histograms were used to manually define nuclei positive for ChAT and Tau1 and their number per mm2 was calculated.
4.9. Serum CAF ELISA
Serum CAF concentration was measured by ELISA following the manufactures instructions (ab216945, Abcam, Cambridge, United Kingdom). Optical density was recorded at 450 nm using a microplate ELISA reader (Multiscan FC, Thermo‐Fisher Scientific). Biological replicates were analyzed in duplicate, and the mean of each duplicate was used in statistical analysis.
4.10. RNA extraction
Total RNA was extracted from the cell cultures with TriReagent (TR118; Molecular Research) as described in Bechshøft et al., 2019. For the conditioned medium experiment 400 ng total RNA purified using TriReagent from baker's yeast (Frisk Bagegær, De Danske Gærfabrikker, Grenaa, Denmark) was added to the TriReagent to minimize loss of rat neuron RNA due to the very low amount. For the Coculture experiment, the human RNA serves as a protective carrier for the rat RNA (yield MuSC: 323 ± 177, Fib: 752 ± 346 ng total RNA).
4.11. RNAseq
RNAseq was performed by a commercial company (Azenta, Liepzig, Germany). Briefly, RNA samples were quantified using a Qubit 4.0 Fluorometer (Life Technologies, Carlsbad, CA, USA) and RNA integrity was checked with RNA Kit on Agilent 5300 Fragment Analyzer (Agilent Technologies, Palo Alto, CA, USA).
RNA sequencing libraries were prepared using the NEBNext Ultra II RNA Library Prep Kit for Illumina following manufacturer's instructions (NEB, Ipswich, MA, USA). Briefly, mRNAs were first enriched with Oligo(dT) beads. Enriched mRNAs were fragmented according to manufacturer's instructions. First‐strand and second‐strand cDNAs were subsequently synthesized. cDNA fragments were end repaired and adenylated at 3′ ends, and universal adapters were ligated to cDNA fragments, followed by index addition and library enrichment by limited‐cycle PCR. Sequencing libraries were validated using NGS Kit on the Agilent 5300 Fragment Analyzer (Agilent Technologies, Palo Alto, CA, USA), and quantified by using Qubit 4.0 Fluorometer (Invitrogen, Carlsbad, CA).
The sequencing libraries were multiplexed and loaded on the flow cell on the Illumina NovaSeq 6000 instrument according to manufacturer's instructions. The samples were sequenced using a 2 × 150 Pair‐End (PE) configuration v1.5. Image analysis and base calling were conducted by the NovaSeq Control Software v1.7 on the NovaSeq instrument. Raw sequence data (.bcl files) generated from Illumina NovaSeq was converted into fastq files and de‐multiplexed using Illumina bcl2fastq program version 2.20. One mismatch was allowed for index sequence identification. 17–77 million paired reads were obtained per sample.
4.12. Bioinformatics
The reads were split into Human, Rat, and Yeast reads using bbsplit (http://sourceforge.net/projects/bbmap/) by comparison to the Rat mRatBN7 and Human GRCh38 or Yeast R64 genomes. Ambiguous reads were excluded. Human and Rat reads were aligned to the respective genomes and transcripts (exons) counted using SubRead v2.0.3 (Liao et al., 2013) resulting in 10–46, 0.6–6.0 or 0.1–0.8 million counts per sample, for human Coculture, rat Coculture and rat Conditioned, respectively.
Preliminary inspection of marker genes suggested that some cell purifications had failed. Therefore, CDSeqR v1.0.9 (Kang et al., 2021) was use for deconvolution of the human samples into cell types. Four of the fibroblast cultures were confirmed by the expression pattern of myoblast/fibroblast markers to consist mainly of myoblasts. Also, the expression pattern (Human and Rat) of one myoblast sample was strongly deviating from all the other samples, with very low proliferation (MKI67/Mki67) and very high metabolism (RPL23A/Rpl23a, GAPDH/Gapdh and MT‐CO1/Mt‐co1). These five samples were therefore excluded from the remaining analyses.
Count normalization and differential analyses were performed using DESeq2 v1.34.0 (Love et al., 2014). For MuSC versus FIB, subjects were included as random factors and Age as fixed for the conditioned medium experiment. To account for log‐fold inflation of the low counts, the lcfshrink method of DESeq2 was used. The resultant shrunken lc2fc, p‐values and adjusted p‐values (false discovery rate [FDR]) are provided in DataS1–, S3, together with the normalized and raw counts. The RNAseq data have been deposited in Array‐Express with the data set identifier E‐MTAB‐14399, E‐MTAB‐14397 and E‐MTAB‐14395. GO‐term enrichment analysis was performed using topGO v2.52.0 (doi:10.18129/B9.bioc.topGO) with the elim algorithm and fisher test. Only genes assigned an actual FDR value were included in the pathway analysis (the background list).
4.13. Statistical analysis
Data are shown in tables as mean ± SEM unless specified otherwise. RNA sequencing data are shown as DESeq2 normalized counts or log2 fold changes. Statistical analyses were conducted in GraphPad Prism (v.10, GraphPad Software) or DESeq2 (v1.34.0). The statistical test used for each dataset is provided in the accompanying figure legend. p values (FDR for RNA sequencing) of <0.05 were considered significant.
AUTHOR CONTRIBUTIONS
CS, PS, MK, AJ, LS, BC, and ALM conceived and designed research. CS, PS, and RBS performed experiments. CS, PS, and ALM analyzed data. CS, PS, RBS, MK, AJ, LS, BC, and ALM interpreted results of experiments. CS and PS prepared figures. CS, PS, and ALM drafted manuscript. All authors edited, revised, and approved the final version of the manuscript.
FUNDING INFORMATION
We gratefully acknowledge funding from: The Lundbeck Foundation (R344‐2020‐254, R402‐2022‐1387) (C.S. and A.L.M). Nordea Foundation (Centre for Healthy Aging) (M.K.). Danielsen Fond (C.S). Association pour le Développement de la Neurogénétique (A.J). AFM Téléthon through the MyoNeurALP strategic grant (A.J., L.S. and B.C).
CONFLICT OF INTEREST STATEMENT
The authors declare no conflicts of interest.
Supporting information
Appendix S1.
Data S1.
Data S2.
Data S3.
Movie S1.
Movie S2.
Movie S3.
ACKNOWLEDGEMENTS
The authors warmly thank Anja Jokipii‐Utzon and Ann‐Christina Ronnié Reimann for technical assistance with preparation of the cells for RNA sequencing and for performing the ELISA. We acknowledge the Core Facility for Integrated Microscopy, Faculty of Health and Medical Sciences, University of Copenhagen, where the slide scanner images were taken. The monoclonal antibody 39.4D5 (ISL1+2), developed by Jessell, T.M. and Brenner‐Morton, S., were obtained from the Developmental Studies Hybridoma Bank, created by the NICHD of the NIH and maintained at The University of Iowa, Department of Biology, Iowa City, IA 52242, USA.
Soendenbroe, C. , Schjerling, P. , Bechshøft, C. J. L. , Svensson, R. B. , Schaeffer, L. , Kjaer, M. , Chazaud, B. , Jacquier, A. , & Mackey, A. L. (2025). Muscle fibroblasts and stem cells stimulate motor neurons in an age and exercise‐dependent manner. Aging Cell, 24, e14413. 10.1111/acel.14413
Contributor Information
Casper Soendenbroe, Email: casper.soendenbroe@regionh.dk.
Abigail L. Mackey, Email: abigailmac@sund.ku.dk.
DATA AVAILABILITY STATEMENT
The RNAseq data have been deposited in Array‐Express with the data set identifier E‐MTAB‐14399, E‐MTAB‐14397 and E‐MTAB‐14395, and is provided in three auxiliary files (DataS1–, S3). All other data are available upon request to the corresponding author.
REFERENCES
- Agley, C. C. , Rowlerson, A. M. , Velloso, C. P. , Lazarus, N. R. , & Harridge, S. D. R. (2013). Human skeletal muscle fibroblasts, but not myogenic cells, readily undergo adipogenic differentiation. Journal of Cell Science, 126, 5610–5625. [DOI] [PubMed] [Google Scholar]
- Arshadi, C. , Günther, U. , Eddison, M. , Harrington, K. I. S. , & Ferreira, T. A. (2021). SNT: A unifying toolbox for quantification of neuronal anatomy. Nature Methods, 18, 374–377. [DOI] [PubMed] [Google Scholar]
- Barik, A. , Li, L. , Sathyamurthy, A. , Xiong, W.‐C. , & Mei, L. (2016). Schwann cells in neuromuscular junction formation and maintenance. The Journal of Neuroscience, 36, 9770–9781. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barruet, E. , Garcia, S. M. , Striedinger, K. , Wu, J. , Lee, S. , Byrnes, L. , Wong, A. , Xuefeng, S. , Tamaki, S. , Brack, A. S. , & Pomerantz, J. H. (2020). Functionally heterogeneous human satellite cells identified by single cell RNA sequencing. eLife, 9, e51576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bechshøft, C. J. L. , Jensen, S. M. , Schjerling, P. , Andersen, J. L. , Svensson, R. B. , Eriksen, C. S. , Mkumbuzi, N. S. , Kjaer, M. , & Mackey, A. L. (2019). Age and prior exercise in vivo determine the subsequent in vitro molecular profile of myoblasts and nonmyogenic cells derived from human skeletal muscle. American Journal of Physiology‐Cell Physiology, 316, C898–C912. [DOI] [PubMed] [Google Scholar]
- Bergstrom, J. (1975). Percutaneous needle biopsy of skeletal muscle in physiological and clinical research. Scandinavian Journal of Clinical and Laboratory Investigation, 35, 609–616. [PubMed] [Google Scholar]
- Blasco, A. , Gras, S. , Mòdol‐Caballero, G. , Tarabal, O. , Casanovas, A. , Piedrafita, L. , Barranco, A. , Das, T. , Pereira, S. L. , Navarro, X. , Rueda, R. , Esquerda, J. E. , & Calderó, J. (2020). Motoneuron deafferentation and gliosis occur in association with neuromuscular regressive changes during ageing in mice. Journal of Cachexia, Sarcopenia and Muscle, 11, 1628–1660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blum, J. A. , Klemm, S. , Shadrach, J. L. , Guttenplan, K. A. , Nakayama, L. , Kathiria, A. , Hoang, P. T. , Gautier, O. , Kaltschmidt, J. A. , Greenleaf, W. J. , & Gitler, A. D. (2021). Single‐cell transcriptomic analysis of the adult mouse spinal cord reveals molecular diversity of autonomic and skeletal motor neurons. Nature Neuroscience, 24, 572–583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Castro, R. W. , Lopes, M. C. , Settlage, R. E. , & Valdez, G. (2023). Aging alters mechanisms underlying voluntary movements in spinal motor neurons of mice, primates, and humans. JCI Insight, 8, e168448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caubit, X. , Thoby‐Brisson, M. , Voituron, N. , Filippi, P. , Bévengut, M. , Faralli, H. , Zanella, S. , Fortin, G. , Hilaire, G. , & Fasano, L. (2010). Teashirt 3 regulates development of neurons involved in both respiratory rhythm and airflow control. The Journal of Neuroscience, 30, 9465–9476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chai, R. J. , Vukovic, J. , Dunlop, S. , Grounds, M. D. , & Shavlakadze, T. (2011). Striking denervation of neuromuscular junctions without lumbar motoneuron loss in geriatric mouse muscle. PLoS One, 6, e28090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chakkalakal, J. V. , Nishimune, H. , Ruas, J. L. , Spiegelman, B. M. , & Sanes, J. R. (2010). Retrograde influence of muscle fibers on their innervation revealed by a novel marker for slow motoneurons. Development, 137, 3489–3499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Connor, E. A. , & McMahan, U. J. (1987). Cell accumulation in the junctional region of denervated muscle. The Journal of Cell Biology, 104, 109–120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Delile, J. , Rayon, T. , Melchionda, M. , Edwards, A. , Briscoe, J. , & Sagner, A. (2019). Single cell transcriptomics reveals spatial and temporal dynamics of gene expression in the developing mouse spinal cord. Development, 146, dev173807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Deschenes, M. R. (2011). Motor unit and neuromuscular junction remodeling with aging. Current Aging Science, 4, 209–220. [DOI] [PubMed] [Google Scholar]
- Englund, D. A. , Figueiredo, V. C. , Dungan, C. M. , Murach, K. A. , Peck, B. D. , Petrosino, J. M. , Brightwell, C. R. , Dupont, A. M. , Neal, A. C. , Fry, C. S. , Accornero, F. , McCarthy, J. J. , & Peterson, C. A. (2021). Satellite cell depletion disrupts transcriptional coordination and muscle adaptation to exercise. Function (Oxf), 2, zqaa033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Florin, A. , Lambert, C. , Sanchez, C. , Zappia, J. , Durieux, N. , Tieppo, A. M. , Mobasheri, A. , & Henrotin, Y. (2020). The secretome of skeletal muscle cells: A systematic review. Osteoarthritis and Cartilage Open, 2, 100019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fry, C. S. , Johnson, D. L. , Ireland, M. L. , & Noehren, B. (2017). ACL injury reduces satellite cell abundance and promotes fibrogenic cell expansion within skeletal muscle. Journal of Orthopaedic Research, 35, 1876–1885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gao, M. , Dong, Q. , Yang, Z. , Zou, D. , Han, Y. , Chen, Z. , & Xu, R. (2024). Long non‐coding RNA H19 regulates neurogenesis of induced neural stem cells in a mouse model of closed head injury. Neural Regeneration Research, 19, 872–880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Garcia‐Carrizo, F. , Gohlke, S. , Lenihan‐Geels, G. , Jank, A.‐M. , Leer, M. , Soultoukis, G. A. , Oveisi, M. , Herpich, C. , Garrido, C. A. , Kotsaris, G. , Pöhle‐Kronawitter, S. , Tsamo‐Tetou, A. , Graja, A. , Ost, M. , Villacorta, L. , Knecht, R. S. , Klaus, S. , Schürmann, A. , Stricker, S. , … Schulz, T. J. (2023). Aging impairs skeletal muscle regeneration by promoting fibro/fatty degeneration and inhibiting inflammation resolution via fibro‐adipogenic progenitors. bioRxiv [Preprint] 10.1101/2023.11.27.568776 [DOI]
- Gatchalian, C. L. , Schachner, M. , & Sanes, J. R. (1989). Fibroblasts that proliferate near denervated synaptic sites in skeletal muscle synthesize the adhesive molecules tenascin(J1), N‐CAM, fibronectin, and a heparan sulfate proteoglycan. The Journal of Cell Biology, 108, 1873–1890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hepple, R. T. , & Rice, C. L. (2016). Innervation and neuromuscular control in ageing skeletal muscle. Journal of Physiology (London), 594, 1965–1978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jacquier, A. , Risson, V. , & Schaeffer, L. (2019). Modeling Charcot‐Marie‐tooth disease in vitro by transfecting mouse primary Motoneurons. Journal of Visualized Experiments, e57988. [DOI] [PubMed] [Google Scholar]
- Jones, E. J. , Piasecki, J. , Ireland, A. , Stashuk, D. W. , Atherton, P. J. , Phillips, B. E. , McPhee, J. S. , & Piasecki, M. (2021). Lifelong exercise is associated with more homogeneous motor unit potential features across deep and superficial areas of vastus lateralis. GeroScience, 43, 1555–1565. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Montoya, G. J. V. , Sutachan, J. J. , Chan, W. S. , Sideris, A. , Blanck, T. J. , & Recio‐Pinto, E. (2009). Muscle‐conditioned media and cAMP promote survival and neurite outgrowth of adult spinal cord motor neurons. Experimental Neurology, 220, 303–315. [DOI] [PubMed] [Google Scholar]
- Kang, K. , Huang, C. , Li, Y. , Umbach, D. M. , & Li, L. (2021). CDSeqR: fast complete deconvolution for gene expression data from bulk tissues. BMC Bioinformatics, 22, 262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karlsen, A. , Bechshøft, R. L. , Malmgaard‐Clausen, N. M. , Andersen, J. L. , Schjerling, P. , Kjaer, M. , & Mackey, A. L. (2019). Lack of muscle fibre hypertrophy, myonuclear addition, and satellite cell pool expansion with resistance training in 83‐94‐year‐old men and women. Acta Physiologica (Oxford, England), 227, e13271. [DOI] [PubMed] [Google Scholar]
- Karlsen, A. , Yeung, C.‐Y. C. , Schjerling, P. , Denz, L. , Hoegsbjerg, C. , Jakobsen, J. R. , Krogsgaard, M. R. , Koch, M. , Schiaffino, S. , Kjaer, M. , & Mackey, A. L. (2023). Distinct myofibre domains of the human myotendinous junction revealed by single nucleus RNA‐seq. Journal of Cell Science, 136, jcs.260913. [DOI] [PubMed] [Google Scholar]
- Kawamura, Y. , Okazaki, H. , O'Brien, P. C. , & Dych, P. J. (1977). Lumbar motoneurons of man: (I) number and diameter histogram of alpha and gamma axons of ventral root. Journal of Neuropathology and Experimental Neurology, 36, 853–860. [DOI] [PubMed] [Google Scholar]
- Le Gall, L. , Duddy, W. J. , Martinat, C. , Mariot, V. , Connolly, O. , Milla, V. , Anakor, E. , Ouandaogo, Z. G. , Millecamps, S. , Lainé, J. , Vijayakumar, U. G. , Knoblach, S. , Raoul, C. , Lucas, O. , Loeffler, J. P. , Bede, P. , Behin, A. , Blasco, H. , Bruneteau, G. , … Pradat, P. F. (2022). Muscle cells of sporadic amyotrophic lateral sclerosis patients secrete neurotoxic vesicles. Journal of Cachexia, Sarcopenia and Muscle, 13, 1385–1402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lepper, C. , Partridge, T. A. , & Fan, C.‐M. (2011). An absolute requirement for Pax7‐positive satellite cells in acute injury‐induced skeletal muscle regeneration. Development, 138, 3639–3646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lexell, J. , Taylor, C. C. , & Sjöström, M. (1988). What is the cause of the ageing atrophy? Total number, size and proportion of different fiber types studied in whole vastus lateralis muscle from 15‐ to 83‐year‐old men. Journal of the Neurological Sciences, 84, 275–294. [DOI] [PubMed] [Google Scholar]
- Liao, Y. , Smyth, G. K. , & Shi, W. (2013). The Subread aligner: Fast, accurate and scalable read mapping by seed‐and‐vote. Nucleic Acids Research, 41, e108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu, W. , Klose, A. , Forman, S. , Paris, N. D. , Wei‐LaPierre, L. , Cortés‐Lopéz, M. , Tan, A. , Flaherty, M. , Miura, P. , Dirksen, R. T. , & Chakkalakal, J. V. (2017). Loss of adult skeletal muscle stem cells drives age‐related neuromuscular junction degeneration. eLife, 6, e26464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Love, M. I. , Huber, W. , & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA‐seq data with DESeq2. Genome Biology, 15, 550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lukasiewicz, C. J. , Tranah, G. J. , Evans, D. S. , Coen, P. M. , Barnes, H. N. , Huo, Z. , Esser, K. A. , Zhang, X. , Wolff, C. , Wu, K. , Lane, N. E. , Kritchevsky, S. B. , Newman, A. B. , Cummings, S. R. , Cawthon, P. M. , & Hepple, R. T. (2024). Higher expression of denervation‐responsive genes is negatively associated with muscle volume and performance traits in the study of muscle, mobility, and aging (SOMMA). Aging Cell, 23, e14115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lukjanenko, L. , Karaz, S. , Stuelsatz, P. , Gurriaran‐Rodriguez, U. , Michaud, J. , Dammone, G. , Sizzano, F. , Mashinchian, O. , Ancel, S. , Migliavacca, E. , Liot, S. , Jacot, G. , Metairon, S. , Raymond, F. , Descombes, P. , Palini, A. , Chazaud, B. , Rudnicki, M. A. , Bentzinger, C. F. , & Feige, J. N. (2019). Aging disrupts muscle stem cell function by impairing Matricellular WISP1 secretion from fibro‐Adipogenic progenitors. Cell Stem Cell, 24, 433–446.e7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lund, J. , Helle, S. A. , Li, Y. , Løvsletten, N. G. , Stadheim, H. K. , Jensen, J. , Kase, E. T. , Thoresen, G. H. , & Rustan, A. C. (2018). Higher lipid turnover and oxidation in cultured human myotubes from athletic versus sedentary young male subjects. Scientific Reports, 8, 17549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mackey, A. L. , Magnan, M. , Chazaud, B. , & Kjaer, M. (2017). Human skeletal muscle fibroblasts stimulate in vitro myogenesis and in vivo muscle regeneration. Journal of Physiology (London), 595, 5115–5127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Madaro, L. , Passafaro, M. , Sala, D. , Etxaniz, U. , Lugarini, F. , Proietti, D. , Alfonsi, M. V. , Nicoletti, C. , Gatto, S. , De Bardi, M. , Rojas‐García, R. , Giordani, L. , Marinelli, S. , Pagliarini, V. , Sette, C. , Sacco, A. , & Puri, P. L. (2018). Denervation‐activated STAT3‐IL‐6 signalling in fibro‐adipogenic progenitors promotes myofibres atrophy and fibrosis. Nature Cell Biology, 20, 917–927. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mars, T. , Yu, K. J. , Tang, X. M. , Miranda, A. F. , Grubic, Z. , Cambi, F. , & King, M. P. (2001). Differentiation of glial cells and motor neurons during the formation of neuromuscular junctions in cocultures of rat spinal cord explant and human muscle. The Journal of Comparative Neurology, 438, 239–251. [DOI] [PubMed] [Google Scholar]
- McNeil, C. J. , Doherty, T. J. , Stashuk, D. W. , & Rice, C. L. (2005). Motor unit number estimates in the tibialis anterior muscle of young, old, and very old men. Muscle & Nerve, 31, 461–467. [DOI] [PubMed] [Google Scholar]
- McPhee, J. S. , Cameron, J. , Maden‐Wilkinson, T. , Piasecki, M. , Yap, M. H. , Jones, D. A. , & Degens, H. (2018). The contributions of fiber atrophy, fiber loss, in situ specific force, and voluntary activation to weakness in sarcopenia. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 73, 1287–1294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mikkelsen, U. R. , Couppé, C. , Karlsen, A. , Grosset, J. F. , Schjerling, P. , Mackey, A. L. , Klausen, H. H. , Magnusson, S. P. , & Kjær, M. (2013). Life‐long endurance exercise in humans: Circulating levels of inflammatory markers and leg muscle size. Mechanisms of Ageing and Development, 134, 531–540. [DOI] [PubMed] [Google Scholar]
- 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. , Lundin, V. , Hedlund, E. , Ruas, J. L. , & Teixeira, A. I. (2018). Neurturin is a PGC‐1α1‐controlled myokine that promotes motor neuron recruitment and neuromuscular junction formation. Molecular Metabolism, 7, 12–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mis, K. , Grubic, Z. , Lorenzon, P. , Sciancalepore, M. , Mars, T. , & Pirkmajer, S. (2017). In vitro innervation as an experimental model to study the expression and functions of acetylcholinesterase and Agrin in human skeletal muscle. Molecules, 22, E1418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mittal, K. R. , & Logmani, F. H. (1987). Age‐related reduction in 8th cervical ventral nerve root myelinated fiber diameters and numbers in man. Journal of Gerontology, 42, 8–10. [DOI] [PubMed] [Google Scholar]
- Moy, A. B. , Kamath, A. , Ternes, S. , & Kamath, J. (2023). The challenges to advancing induced pluripotent stem cell‐dependent cell replacement therapy. Medical Research Archives, 11, 4784. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Murach, K. A. , Fry, C. S. , Dupont‐Versteegden, E. E. , McCarthy, J. J. , & Peterson, C. A. (2021). Fusion and beyond: Satellite cell contributions to loading‐induced skeletal muscle adaptation. The FASEB Journal, 35, e21893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Murphy, M. M. , Lawson, J. A. , Mathew, S. J. , Hutcheson, D. A. , & Kardon, G. (2011). Satellite cells, connective tissue fibroblasts and their interactions are crucial for muscle regeneration. Development, 138, 3625–3637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Negro, S. , Lessi, F. , Duregotti, E. , Aretini, P. , La Ferla, M. , Franceschi, S. , Menicagli, M. , Bergamin, E. , Radice, E. , Thelen, M. , Megighian, A. , Pirazzini, M. , Mazzanti, C. M. , Rigoni, M. , & Montecucco, C. (2017). CXCL12α/SDF‐1 from perisynaptic Schwann cells promotes regeneration of injured motor axon terminals. EMBO Molecular Medicine, 9, 1000–1010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Negroni, E. , Kondili, M. , Muraine, L. , Bensalah, M. , Butler‐Browne, G. S. , Mouly, V. , Bigot, A. , & Trollet, C. (2022). Muscle fibro‐adipogenic progenitors from a single‐cell perspective: Focus on their “virtual” secretome. Frontiers in Cell and Development Biology, 10, 952041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nicoletti, C. , Wei, X. , Etxaniz, U. , D'Ercole, C. , Madaro, L. , Perera, R. , & Puri, P. L. (2023). Muscle denervation promotes functional interactions between glial and mesenchymal cells through NGFR and NGF. iScience, 26, 107114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pedersen, B. K. (2019). Physical activity and muscle–brain crosstalk. Nature Reviews Endocrinology, 15, 383–392. [DOI] [PubMed] [Google Scholar]
- Petrany, M. J. , Swoboda, C. O. , Sun, C. , Chetal, K. , Chen, X. , Weirauch, M. T. , Salomonis, N. , & Millay, D. P. (2020). Single‐nucleus RNA‐seq identifies transcriptional heterogeneity in multinucleated skeletal myofibers. Nature Communications, 11, 6374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Piasecki, M. , Ireland, A. , Piasecki, J. , Stashuk, D. W. , Swiecicka, A. , Rutter, M. K. , Jones, D. A. , & McPhee, J. S. (2018). Failure to expand the motor unit size to compensate for declining motor unit numbers distinguishes sarcopenic from non‐sarcopenic older men. Journal of Physiology (London), 596, 1627–1637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pillon, N. J. , Gabriel, B. M. , Dollet, L. , Smith, J. A. B. , Sardón Puig, L. , Botella, J. , Bishop, D. J. , Krook, A. , & Zierath, J. R. (2020). Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity. Nature Communications, 11, 470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Power, G. A. , Dalton, B. H. , Behm, D. G. , Vandervoort, A. A. , Doherty, T. J. , & Rice, C. L. (2010). Motor unit number estimates in masters runners: Use it or lose it? Medicine & Science in Sports & Exercise, 42, 1644–1650. [DOI] [PubMed] [Google Scholar]
- Rebolledo, D. L. , González, D. , Faundez‐Contreras, J. , Contreras, O. , Vio, C. P. , Murphy‐Ullrich, J. E. , Lipson, K. E. , & Brandan, E. (2019). Denervation‐induced skeletal muscle fibrosis is mediated by CTGF/CCN2 independently of TGF‐β. Matrix Biology, 82, 20–37. [DOI] [PubMed] [Google Scholar]
- Schindelin, J. , Arganda‐Carreras, I. , Frise, E. , Kaynig, V. , Longair, M. , Pietzsch, T. , Preibisch, S. , Rueden, C. , Saalfeld, S. , Schmid, B. , Tinevez, J.‐Y. , White, D. J. , Hartenstein, V. , Eliceiri, K. , Tomancak, P. , & Cardona, A. (2012). Fiji: An open‐source platform for biological‐image analysis. Nature Methods, 9, 676–682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Snow, L. M. , Mcloon, L. K. , & Thompson, L. V. (2005). Adult and developmental myosin heavy chain isoforms in soleus muscle of aging Fischer Brown Norway rat. The Anatomical Record Part A: Discoveries in Molecular, Cellular, and Evolutionary Biology, 286, 866–873. [DOI] [PubMed] [Google Scholar]
- Soendenbroe, C. , Andersen, J. L. , & Mackey, A. L. (2021). Muscle‐nerve communication and the molecular assessment of human skeletal muscle denervation with aging. American Journal of Physiology‐Cell Physiology, 321, C317–C329. [DOI] [PubMed] [Google Scholar]
- Soendenbroe, C. , Dahl, C. L. , Meulengracht, C. , Tamáš, M. , Svensson, R. B. , Schjerling, P. , Kjaer, M. , Andersen, J. L. , & Mackey, A. L. (2022). Preserved stem cell content and innervation profile of elderly human skeletal muscle with lifelong recreational exercise. The Journal of Physiology, 600, 1969–1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Soendenbroe, C. , Heisterberg, M. F. , Schjerling, P. , Karlsen, A. , Kjaer, M. , Andersen, J. L. , & Mackey, A. L. (2019). Molecular indicators of denervation in aging human skeletal muscle. Muscle & Nerve, 60, 453–463. [DOI] [PubMed] [Google Scholar]
- Soendenbroe, C. , Heisterberg, M. F. , Schjerling, P. , Kjaer, M. , Andersen, J. L. , & Mackey, A. L. (2022). Human skeletal muscle acetylcholine receptor gene expression in elderly males performing heavy resistance exercise. American Journal of Physiology. Cell Physiology, 323, C159–C169. [DOI] [PubMed] [Google Scholar]
- Sonjak, V. , Jacob, K. , Morais, J. A. , Rivera‐Zengotita, M. , Spendiff, S. , Spake, C. , Taivassalo, T. , Chevalier, S. , & Hepple, R. T. (2019). Fidelity of muscle fibre reinnervation modulates ageing muscle impact in elderly women. The Journal of Physiology, 597, 5009–5023. [DOI] [PubMed] [Google Scholar]
- Stark, D. A. , Coffey, N. J. , Pancoast, H. R. , Arnold, L. L. , Walker, J. P. D. , Vallée, J. , Robitaille, R. , Garcia, M. L. , & Cornelison, D. D. W. (2015). Ephrin‐A3 promotes and maintains slow muscle fiber identity during postnatal development and reinnervation. The Journal of Cell Biology, 211, 1077–1091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stewart, C. E. , & Sharples, A. P. (2022). Aging, skeletal muscle, and epigenetics. Plastic and Reconstructive Surgery, 150, 27S–33S. [DOI] [PubMed] [Google Scholar]
- Sun, Y. , & Jin, Y. (2023). An intraflagellar transport dependent negative feedback regulates the MAPKKK DLK‐1 to protect cilia from degeneration. Proceedings of the National Academy of Sciences of the United States of America, 120, e2302801120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tamáš, M. , Pankratova, S. , Schjerling, P. , Soendenbroe, C. , Yeung, C. C. , Pennisi, C. P. , Jakobsen, J. R. , Krogsgaard, M. R. , Kjaer, M. , & Mackey, A. L. (2021). Mutual stimulatory signaling between human myogenic cells and rat cerebellar neurons. Physiological Reports, 9, e15077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Theret, M. , Rossi, F. M. V. , & Contreras, O. (2021). Evolving roles of muscle‐resident fibro‐Adipogenic progenitors in health, regeneration, neuromuscular disorders, and aging. Frontiers in Physiology, 12, 673404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tomlinson, B. E. , & Irving, D. (1977). The numbers of limb motor neurons in the human lumbosacral cord throughout life. Journal of the Neurological Sciences, 34, 213–219. [DOI] [PubMed] [Google Scholar]
- Uezumi, A. , Ikemoto‐Uezumi, M. , Zhou, H. , Kurosawa, T. , Yoshimoto, Y. , Nakatani, M. , Hitachi, K. , Yamaguchi, H. , Wakatsuki, S. , Araki, T. , Morita, M. , Yamada, H. , Toyoda, M. , Kanazawa, N. , Nakazawa, T. , Hino, J. , Fukada, S.‐I. , & Tsuchida, K. (2021). Mesenchymal Bmp3b expression maintains skeletal muscle integrity and decreases in age‐related sarcopenia. The Journal of Clinical Investigation, 131, 139617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Verdijk, L. B. , Snijders, T. , Drost, M. , Delhaas, T. , Kadi, F. , & van Loon, L. J. C. (2014). Satellite cells in human skeletal muscle; from birth to old age. Age (Dordrecht, Netherlands), 36, 545–557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, K. , Yaghi, O. K. , Spallanzani, R. G. , Chen, X. , Zemmour, D. , Lai, N. , Chiu, I. M. , Benoist, C. , & Mathis, D. (2020). Neuronal, stromal, and T‐regulatory cell crosstalk in murine skeletal muscle. Proceedings of the National Academy of Sciences of the United States of America, 117, 5402–5408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, T. , Chen, J. , Tang, C.‐X. , Zhou, X.‐Y. , & Gao, D.‐S. (2016). Inverse expression levels of EphrinA3 and EphrinA5 contribute to dopaminergic differentiation of human SH‐SY5Y cells. Journal of Molecular Neuroscience, 59, 483–492. [DOI] [PubMed] [Google Scholar]
- Wosczyna, M. N. , Konishi, C. T. , Perez Carbajal, E. E. , Wang, T. T. , Walsh, R. A. , Gan, Q. , Wagner, M. W. , & Rando, T. A. (2019). Mesenchymal stromal cells are required for regeneration and homeostatic maintenance of skeletal muscle. Cell Reports, 27, 2029–2035.e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wosczyna, M. N. , & Rando, T. A. (2018). A muscle stem cell support group: Coordinated cellular responses in muscle regeneration. Developmental Cell, 46, 135–143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yoo, K. , Jo, Y.‐W. , Yoo, T. , Hann, S.‐H. , Park, I. , Kim, Y.‐E. , Kim, Y. L. , Rhee, J. , Song, I.‐W. , Kim, J.‐H. , Baek, D. , & Kong, Y.‐Y. (2024). Muscle‐resident mesenchymal progenitors sense and repair peripheral nerve injury via the GDNF‐BDNF axis. eLife, 13, RP97662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zahavi, E. E. , Ionescu, A. , Gluska, S. , Gradus, T. , Ben‐Yaakov, K. , & Perlson, E. (2015). A compartmentalized microfluidic neuromuscular co‐culture system reveals spatial aspects of GDNF functions. Journal of Cell Science, 128, 1241–1252. [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.
Supplementary Materials
Appendix S1.
Data S1.
Data S2.
Data S3.
Movie S1.
Movie S2.
Movie S3.
Data Availability Statement
The RNAseq data have been deposited in Array‐Express with the data set identifier E‐MTAB‐14399, E‐MTAB‐14397 and E‐MTAB‐14395, and is provided in three auxiliary files (DataS1–, S3). All other data are available upon request to the corresponding author.
