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. 2022 Mar 19;143(4):471–486. doi: 10.1007/s00401-022-02412-9

Selective vulnerability of tripartite synapses in amyotrophic lateral sclerosis

Matthew J Broadhead 1,2,#, Calum Bonthron 1,#, Julia Waddington 1, William V Smith 1, Maite F Lopez 1, Sarah Burley 1, Jessica Valli 2, Fei Zhu 3, Noboru H Komiyama 3,4, Colin Smith 5,6, Seth G N Grant 3,4, Gareth B Miles 1,
PMCID: PMC8960590  PMID: 35305541

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disorder. Separate lines of evidence suggest that synapses and astrocytes play a role in the pathological mechanisms underlying ALS. Given that astrocytes make specialised contacts with some synapses, called tripartite synapses, we hypothesise that tripartite synapses could act as the fulcrum of disease in ALS. To test this hypothesis, we have performed an extensive microscopy-based investigation of synapses and tripartite synapses in the spinal cord of ALS model mice and post-mortem human tissue from ALS cases. We reveal widescale synaptic changes at the early symptomatic stages of the SOD1G93a mouse model. Super-resolution microscopy reveals that large complex postsynaptic structures are lost in ALS mice. Most surprisingly, tripartite synapses are selectively lost, while non-tripartite synapses remain in equal number to healthy controls. Finally, we also observe a similar selective loss of tripartite synapses in human post-mortem ALS spinal cords. From these data we conclude that tripartite synaptopathy is a key hallmark of ALS.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00401-022-02412-9.

Keywords: ALS/MND, Synapse, Astrocyte, Neurodegeneration

Introduction

Amyotrophic Lateral Sclerosis (ALS) is a devastating form of motor neuron disease, characterised by loss of motor neurons (MNs) in the brain, brainstem and spinal cord, leading to progressive decline of motor control and fatal paralysis, typically within a few years of diagnosis [85]. The pathological mechanisms that precede MN cell death remain unclear. One line of evidence suggests that ALS, such as many neurodegenerative disorders, could be caused by a loss or a change in the synapses between neurons within the central nervous system (CNS) prior to cell loss [23, 31, 75, 78]. Pre-symptomatic and early symptomatic changes in cortical dendritic spines, neuromuscular junctions and the synaptic inputs to spinal cord MNs have all been reported [24, 25, 60, 63, 68, 72, 75]. Separate evidence indicates that astrocytes, the supportive glial cells of the CNS, may be responsible for non-cell autonomous degeneration of MNs [17, 26, 74, 81, 82, 86]. Astrocytes make specialised connections with chemical synapses, forming tripartite synapses, through which they help regulate synaptic structure and transmission [2, 59]. Despite evidence that glial cells may contribute to synaptic degeneration in neurodegenerative diseases [5, 39, 71], it is not known whether tripartite synapses are affected in ALS. We hypothesise that both synaptic and astrocytic dysfunction could be mechanistically linked, and that the tripartite synapse could act as a vulnerable fulcrum of disease in ALS.

To investigate how synapses and tripartite synapses are affected in ALS, we have performed a thorough, quantitative microscopy-based study of millions of excitatory synapses and markers of perisynaptic astrocytic processes (PAPs) in the spinal cord. This was conducted in mice with ALS-causing mutations and in post-mortem spinal cord tissue from human ALS patients. Using high-resolution and super-resolution microscopy, in combination with genetic and immunohistochemical labelling strategies for visualising synapses and astrocytes, our findings reveal that tripartite synapses are selectively vulnerable to degeneration in ALS. This finding suggests that synaptic loss may be mechanistically linked to astrocytic pathology in ALS, and the identification of this vulnerable synapse subtype could pave the way for targeted therapeutic strategies.

Methods

Animals and ethics

All procedures performed on animals were conducted in accordance with the UK Animals (Scientific Procedures) Act 1986 and were approved by the University of St Andrews Animal Welfare and Ethics Committee. The following mouse lines were kindly provided by Dr Richard Mead, University of Sheffield: B6SJL-TgN(SOD1-G93A)1Gur/J (SOD1G93a), B6SJL-Tg(SOD1)2Gur/J (WTSOD1) and FVB/NJ-Tg(C9ORF72)500Lpwr/J (C9orf72). SOD1G93a and WTSOD1 were maintained on a congenic C57bl/6 background strain, while C9orf72 mice were maintained on an FVB background mouse strain. The ALS mouse lines were crossed with PSD95-eGFP+/+ mice, originally obtained from Prof. Seth Grant (University of Edinburgh), to produce transgenic (Tg) ALS and control offspring expressing PSD95-eGFP+/-. Unlike the other mouse lines, C9orf72 mice were produced on an FVB background. The progeny of C9orf72 × PSD95-eGFP mice were a first generation FVB/C57bl/6 cross, displaying a light brown fur coat and black eyes (indicating they did not possess the recessive retinal degeneration 1 allele of Pde6brd1 which causes blindness in FVB mice).

Disease phenotype was monitored by routine weighing and behavioural scoring from the age of 30 days (P30), with more frequent checks performed once the mice were over P60 or when mice were showing disease phenotypes. Mice were scored 0–4 in severity; 4 showing no phenotype, 3 showing hind-limb splay and tremors upon tail raising, 2 showing gait abnormalities, 1 showing hind limb dragging, 0 showing inability to self-right after 30 s when placed on its back. Mice were euthanised through either cervical dislocation or perfusion if displaying a score of 2 or lower.

Overall, SOD1G93a mice presented hind limb tremor and reduced hind-limb splay by 76 days. We observed no difference in the age of symptom onset between SOD1G93a mice and the cross-bred PSD95-eGFP mice, nor have we observed any difference in the age of symptom onset within our colonies over time. Our data is remarkably consistent with those of the source colonies [53] and suggests that little-to-no reduction in transgene copy number had occurred within our breeding colonies or experimental cohorts. No such overt phenotypes were observed in either the WTSOD1 or C9orf72 mouse colonies.

Mouse tissue collection

Mice were anaesthetised with pentobarbitol (30 mg/kg dose; Dolethal), and the chest cavity opened to reveal the heart. The right atrium was severed and 10 ml ice cold 1 × phosphate buffered saline (PBS) was perfused through the left ventricle, followed by 10 ml 4% paraformaldehyde (PFA; Alfa Aesar). The lumbar spinal cord was then dissected and incubated for a further 3–4 h in 4% PFA before being incubated in sucrose 30% w/v for 24–72 h at 4 °C until sunk. Tissue was then cryo-embedded in OCT compound and stored at − 80 °C. Cryosections were obtained using a Leica CM1860 cryostat at 20 μm thickness and adhered to Superfrost Gold Plus glass slides (VWR).

Mouse tissue processing and immunohistochemistry

Mouse tissue processing for visualising synapses and tripartite synapses is detailed in Broadhead et al. [6]. For visualisation of PSD95-eGFP only, slides were thawed at room temperature, briefly washed in PBS then deionised (DI) water before being dried and mounted in lab-made Mowiol or Prolong Glass anti-fade for super-resolution microscopy with a 1.5 thickness coverslip. For immunohistochemistry, sections were first heated at 37 °C for 30 min to aid the adherence of the tissue to the glass slides and reduce tissue loss during subsequent wash steps. Slides were washed three times in PBS before being blocked and permeabilised in PBS containing 3% Bovine Serum Albumin (BSA) and 0.2% Triton X100 for 2 h at room temperature. Primary antibody incubation was performed in PBS containing 1.5% BSA, 0.1% Triton X100 for 2 nights at 4 °C. Once incubated, slides are washed five times in PBS over the course of 1–2 h. Secondary antibody incubation was performed in 0.1% Triton X100 for 2 h at room temperature followed by a further five washes in PBS over the course of 1–2 h. Dye labelling of astrocyte-specific primary antibodies (GFAP, EAAT2 and p-Ezrin) was performed with 10 µg of each antibody using the Lightning-Link conjugation kits (Abcam) to address whether some proteins colocalised in astrocytes when the primary antibodies were raised in the same species (rabbit). See Table 1 for details on antibodies for mouse tissue experiments.

Table 1.

Antibodies for mouse spinal cord tissue labelling

Primary antibody target Species Company Code Dilution Secondary antibody/conjugation
VGLUT2 Mouse Abcam Ab79157 1:500 Anti-Ms Alexa Fluor 555
p-Ezrin Rabbit ProteinTech 26056-1-AP 1:500 Anti-Rb Alexa Fluor 647 / Dye-Conjugated Alexa Fluor 647
EAAT2 Rabbit Bioss BS1751R 1:500 Anti-Rb Alexa Fluor 647 / Dye-Conjugated Alexa Fluor 594
zDHHC2 Rabbit Biorbyt Orb385443 1:100 Anti-Rb Alexa Fluor 647
Glutamine Synthetase Mouse ProteinTech 66323-1-Ig 1:500 Anti-Ms FITC
ChAT Chicken Abcam Ab34419 1:250 Anti-Ch Alexa Fluor 647
GFAP Rabbit DAKO Z0334 1:1000 Dye-conjugated Alexa Fluor 594

Human post-mortem tissue and immunohistochemistry

Human cervical spinal cord samples were obtained from the Edinburgh Brain and Tissue Bank, by Prof. Colin Smith. Ethical approval for this work was provided by the East of Scotland Research Ethics Service REC 1 (16/ES/0084). Samples of the cervical spinal cord were obtained from patients who died from ALS displaying mutations in the C9orf72 gene or the SOD1 gene. Age matched patients who died from natural causes were used as controls. Mean average patient ages were 57.2 years (controls), 57.6 years (C9orf72) and 54 years (SOD1). The immunohistochemistry protocol used was adapted from Curran et al. [15]. Sections were fixed, paraffin embedded and sectioned at 4 μm thickness and mounted to glass slides. For immunohistochemistry, samples were first de-paraffinised with sequential 3 min washes in Xylene, 100% ethanol, 95% ethanol, 70% ethanol and 50% ethanol. Antigen retrieval was performed by incubating samples in Citric Acid (pH 6.0) for 20 min in a steamer, providing a consistent heat of 95 °C. Following antigen retrieval, sections were washed three times in PBS and then incubated in 1 × Tris buffered Saline (TBS) with 5% BSA, 0.2% Triton X100 for 2 h at room temperature. Samples were then incubated in primary antibody solution consisting of TBS with 3% BSA, 0.2% Triton X100 for two nights at 4 °C before being washed five times in TBS containing 0.2% Triton X100 over the course of 1 h. Secondary antibody incubation was performed in TBS with 0.2% Triton X100 solution for 3 h at room temperature followed by 5–6 washes in PBS with 0.2% Triton X100 over the course of 2 h. Finally, sections were washed in DI water, dried and mounted in Mowiol. See Table 2 for antibodies used in human tissue experiments.

Table 2.

Antibodies for human spinal cord tissue labelling

Primary antibody target Species Company Code Dilution Secondary antibody/conjugation
PSD95 Guinea Pig Synaptic Systems 124-014 1:500 Gt Anti-Gp Alexa Fluor 647
p-Ezrin Rabbit ProteinTech 26056-1-AP 1:250 Gt Anti-Rb Cy3
VGLUT2 Mouse Abcam Ab79157 1:500 Dk Anti-Ms Alexa Fluor 555

RNA FISH

Cy5-labelled DNA probes were used against the G4C2 RNA repeat expansion. All solutions were made up in DEPC-treated water or PBS. Fixed spinal cord tissue was permeabilised with 0.1% Triton X100 for 1 h. Tissue was treated with 2 × saline sodium citrate (SSC) and 10% formamide in PBS for 5 min. Slides were then incubated with hybridization solution containing probes in 10% formamide overnight at 37 °C. After hybridization slides were washed once in 2 × SSC containing 10% formamide, for 30 min at 37 °C, then washed in 2 × SSC for 5 min at room temperature. DAPI was used at 1:15,000 in PBS. Images were captured on a Zeiss Airyscan LSM800 at 63x.

High-resolution microscopy

High-resolution confocal-like microscopy was performed using a Zeiss Axio Imager M2 Microscope equipped with an Apotome 2.0, which enables an XY resolution of 320 nm [6]. Illumination was provided by a HXP120 lamp, and images acquired using a digital MRm camera. Exposure times and illumination intensity were kept consistent for analysis within batches of data sets. To ‘map’ entire hemi-sections of spinal cords to study anatomical diversity between laminae, single optical sections were captured and tiled across half a transverse section of the spinal cord. Maps were captured using a single Z-stack plane approximately 3–5 µm depth into the tissue that was kept at the same depth throughout the entire map. Images were stitched together to create whole montage images that were subsequently analysed.

Super-resolution microscopy

Confocal and gated-stimulated emission depletion (g-STED) microscopy was performed using a Leica SP8 SMD g-STED microscope available at the Edinburgh Super-Resolution Imaging Consortium hosted by Heriot Watt University. Excitation was provided by a CW super-continuum white light laser source at 488 nm to excite eGFP with depletion provided by a 594 nm and 775 nm laser. Images were acquired with a 100 × 1.4NA STED objective lens with an optical zoom set to provide optimal xy-resolution.

Image analysis

Image analysis was performed in Fiji is just ImageJ (FIJI) [66]. High-resolution image analysis was performed as described previously [6]. A standard mouse spinal cord anatomical atlas was used to guide the delineation of Rexed’s laminae [77]. For clarity, our delineation of lamina VIII represents a heterogenous population of ventral neurons including medial MN pools, while laminae IX represents lateral MN pools. For mapping data sets, whole images were processed using a background subtraction and gaussian smoothing. For the PSD95-eGFP-only data sets of excitatory synapse mapping, automated Moments-based thresholding was applied. For data sets involving detection of immunolabelled markers of synaptic or astrocytic structures, manual thresholding was typically required, and the researcher was blinded to the genotype of the mouse to avoid unconscious bias. Minimum and maximum size thresholds were set to minimise false positive detections of small dim structures of a few pixels in size and large clusters that were likely to be lipofuscin aggregates. Colocalisation between structures in high-resolution data sets was determined from binarized images with the criteria of showing overlap by at least 1 pixel.

Nanostructural analysis of PSD95 organisation from g-STED imaging was analysed as described previously [6, 7]. Briefly, confocal and g-STED images are processed with background subtraction and gaussian smoothing. Structures resolved in g-STED were deemed to be PSD95 nanoclusters (NCs), while larger diffraction-limited structures resolved with confocal microscopy were deemed to be whole PSDs. Structural parameters such as size, shape and intensity were obtained for PSDs and NCs, as well as how many NCs resided within a given PSD.

Statistical analysis

Data analysis and graph preparation was performed in Microsoft Excel. Statistical analyses were performed using either SPSS (IBM) or Prism (Graphpad). Data were assessed for normality using the Shapiro Wilks test. Multi-factorial (Two-Way) ANOVA were used for mouse spinal cord synaptic and tripartite synaptic mapping (data presented in Figs. 1 and 3, SI Figs. 3, 6 and 7), where the factors were genotype and anatomical subregion. Sulak’s post-hoc comparison test was performed following Two-Way ANOVA’s, where more than two genotypes (e.g., controls, SOD1G93a and WTSOD1 mice) were compared, while Tukey’s post-hoc comparison was performed following Two-Way ANOVA’s, where only two groups were compared (e.g., controls and SOD1G93a mice). Two Sample T-tests were performed for PSD95 nanoscale analyses (presented in Fig. 2c–e), zDHHC2 expression (Fig. 2g, h), ChAT MN staining quantification (SI. Fig. 2b, c) and human ALS synapse analysis, when both SOD1 and C9orf72 patient cases were merged into one ‘ALS’ group and compared with controls (Fig. 4c,d). Pearson’s Chi-squared test was performed to test for differences in the frequency of synapse subtypes in controls and SOD1G93a mice, in combination with Two-Sample T-Tests to compare the frequency of each specific synapse subtype between the two genotypes (Fig. 2e). Pearson’s Correlation Analysis was performed to assess regional differences in tripartite synapse loss and the percentage of synapses contacted by astrocytes (SI. Figure 7). One-Way ANOVAs with post-hoc Tukey’s comparison tests were used to assess differences in synapses and tripartite synapses between Control, SOD1 and C9orf72 human patient spinal cords (Fig. 4c,d).

Fig. 1.

Fig. 1

Mapping excitatory synapses in the spinal cord revealed early symptomatic stage synaptic changes in SOD1G93a mice. a High-resolution mapping of PSD95-eGFP was performed to analyse synaptic changes in SOD1G93a mice at different time points of the disease. b Example images of postsynaptic puncta in control and SOD1G93a mice at different time points of disease. c Heat maps of PSD density in male and female SOD1G93a mice compared to their respective controls at different ages. d Heat maps of PSD size in male and female SOD1G93a mice compared to their respective controls at different ages. e Chart plotting PSD density in all 8 laminae of 16-week-old controls, WTSOD1 controls and SOD1G93a males. Sample sizes denoted as n = number of WTSOD1’s/number of controls/number of SOD1G93a’s. f Chart plotting PSD size in all 8 laminae of 16-week-old controls, WTSOD1 controls and SOD1G93a males. g Chart plotting PSD density in all 8 laminae of 16-week-old controls, WTSOD1 controls and SOD1G93a females. h Chart plotting PSD size in all 8 laminae of 16-week-old controls, WTSOD1 controls and SOD1G93a females

Fig. 3.

Fig. 3

Mapping Tripartite Synapses in the SOD1G93a Mouse Spinal Cord. a Example of high-resolution spinal cord mapping of tripartite synapses from 16-week-old male control and SOD1G93a mice using PSD95-eGFP, VGLUT2 and p-Ezrin to label the PSDs, presynaptic terminals and PAPs, respectively. Cropped images display individual synaptic and tripartite synaptic structures (denoted by arrows). b Example of high-resolution spinal cord mapping of tripartite synapses from 16-week-old male control and SOD1G93a mice using PSD95-eGFP, VGLUT2 and EAAT2 to label the PSDs, presynaptic terminals and PAPs, respectively. Cropped images display individual synaptic and tripartite synaptic structures (denoted by arrows). c Colour coded heat maps denote the difference in synapse or tripartite synapse density observed in SOD1G93a mice as a percentage of the respective controls. Bar charts display the mean synapse density from mice, averaged across all anatomical subregions for simplicity. From p-Ezrin labelling, no changes in non-tripartite or tripartite synapses were observed in 8 week SOD1G93a mice. d From EAAT2 labelling, no changes in non-tripartite synapses were observed, but a significant increase in tripartite synapses was observed in 8 week SOD1G93a mice compared to control. e From p-Ezrin labelling, no changes in non-tripartite or tripartite synapses were observed in 12 week SOD1G93a mice. f From EAAT2 labelling, no changes in non-tripartite synapses were observed, but a significant decrease in tripartite synapses was observed in 12 week SOD1G93a mice compared to control. g From p-Ezrin labelling, no changes in non-tripartite synapses were observed, but a significant decrease in tripartite synapses was observed in 16 week SOD1G93a mice compared to control. h From EAAT2 labelling, no changes in non-tripartite synapses were observed, but a significant decrease in tripartite synapses was observed in 16 week SOD1G93a mice compared to control

Fig. 2.

Fig. 2

Nanoscopic Changes in Substructural Organisation of PSD95 in ALS Synapses. a Diagram of synapse subtypes, defined by the number of PSD95 nanoclusters (NCs) per PSD. PSDs can be visualised using confocal microscopy while NCs are resolved from correlative g-STED images. b Spinal cord tissue from control and SOD1G93a mice were imaged using confocal and g-STED microscopy to visualise PSDs and NCs, respectively. c Graph showing the size of the PSD95 NCs was not different between controls and SOD1G93a mice. d Graph showing the average number of NCs per PSD was significantly reduced in SOD1G93a mice. e Graph showing the number of large 3 + NC-PSDs are specifically reduced in SOD1G93a mice compared to controls. f High-resolution imaging of synapses (PSD95 and VGLUT2) and the palmitoylation enzyme, zDHHC2, was performed to investigate whether changes in zDHHC2 expression might explain the reduced number of PSD95 NCs at synapses. g Graph showing no difference in zDHHC2 puncta density between control and SOD1G93a mice. h Graph showing reduced number of PSDs expressing zDHHC2 in SOD1G93a mice

Fig. 4.

Fig. 4

Tripartite Synapses are selectively lost in the cervical spinal cord of human ALS cases. a Diagram of human cervical spinal cord and location of image sampling. b Example images of synapses (PSD95—green) and astrocytic processes (p-Ezrin—magenta) in human spinal cord tissue. c Graph showing the total PSD density (PSD95 puncta) in controls, all ALS cases, and then SOD1 and C9orf72 cases separated. d Graph showing synapse density in patient groups when synapses are separated based on whether they are non-tripartite synapses or tripartite synapses, as determined by the association of PSD95 with p-Ezrin

Results

Widescale mapping of the mouse spinal cord reveals synaptic changes in ALS

To visualise and quantify synaptic changes in ALS mice using a standardised and robust approach, we cross-bred PSD95-eGFP+/+ mice [7, 87] with SOD1G93a mice [35], WTSOD1 mice [35] and C9orf72 mice [48]. The use of PSD95-eGFP mice ensures that all mice expressed fluorescently tagged postsynaptic density (PSD) scaffolding molecule, PSD95, at virtually all excitatory synapses throughout the nervous system [87]. As sex-dependent differences in phenotypes have been observed in both the SOD1G93a and C9orf72 mice [10, 36, 48], males and females were analysed separately.

From here onwards, the terms SOD1G93a, WTSOD1 and C9orf72 refer to mice produced from breeding with homozygous PSD95-eGFP knock-in mice to facilitate synapse visualisation in heterozygous PSD95-eGFP progeny. The term ‘Control’ is used to refer to heterozygous PSD95-eGFP progeny not expressing the SOD1G93a or C9orf72 transgene.

Consistent with previous reports [53], SOD1G93a mice presented with hind-limb tremor and hind-limb splay by approximately 76 days of age, with males displaying a slightly earlier onset compared to females, though this was not statistically significant (73.5 days for n = 4 male SOD1G93a mice, 77.1 days for n = 9 female SOD1G93a mice; t(11) = 1.3, p = 0.21).

At the point of termination, none of the 8-week SOD1G93a mice displayed hind limb tremor (5 males, 5 females); all the 12-week male (5/5) and some of the 12-week female (3/5) SOD1G93a mice displayed hind limb tremor, and all the 16-week mice SOD1G93a (6 males, 5 females) displayed hind limb tremor. 16-week old SOD1G93a mice were also lower in weight compared to controls (males: t(9) = 5.2, p = 0.0006; females: (t(8) = 5.3, p = 0.0007). No signs of motor dysfunction or weight loss were observed in WTSOD1 mice up to 16 weeks. Similarly, no signs of acute motor dysfunction or weight loss were seen in C9orf72 mice up to 22 weeks. C9orf72 mice did display G4C2 RNA foci, a key molecular hallmark of disease, in the nuclei of spinal cord cells (SI. Fig. 1a, b).

Tiled, high-resolution maps of PSD95-eGFP synapses were obtained across hemisects of spinal cords which we delineated into spinal laminae I–II, III–IV, V, VI, VII, VIII, IX and X. Each map of a mouse hemi-spinal cord yielded data on approximately 40,000–50,000 PSDs. In total, spinal cord synapse maps were obtained from 122 mice, from which over 5 million PSDs were quantified. In this study, our analysis focuses on PSD density (the number per unit area) and PSD size (area). Overall, inter-regional mapping of PSD95 revealed anatomical diversity in synapse number and size comparable to our previous observations [6], with little difference associated with age or sex.

In both male and female SOD1G93a and control mice, synaptic maps were generated at 8 weeks (pre-symptomatic), 12 weeks (early symptomatic) and 16 weeks of age (early symptomatic with significant weight loss) (Fig. 1a, b). At 8 and 12 weeks of age there was no difference between SOD1G93a and controls in PSD density (Fig. 1c) or PSD size (Fig. 1d). At 16 weeks of age, however, SOD1G93a males showed significantly reduced PSD density (F(1,72) = 9.60, p = 0.0028) and PSD size (F(1,72) = 15.77, p = 0.0002) compared to controls. These effects were also significant when SOD1G93a males were compared with both controls and WTSOD1 controls (Fig. 1e, PSD density: F(2,104) = 7.49, p = 0.0009; Fig. 1f, PSD size: F(2,104) = 11.02, p < 0.0001). These synaptic changes were widespread across the spinal cord, with the exception of the dorsal laminae I–II, while post-hoc Tukey’s testing revealed that PSD density and size were most significantly affected in lamina VI and VII, respectively.

The SOD1G93a 16-week old females displayed reduced PSD density when compared to control females (F(1, 64) = 10.26, p = 0.0021), but no difference in PSD size (F(1, 64) = 3.23, p = 0.077). Furthermore, these effects were not significant in comparison to the female 16-week-old WTSOD1 mice (Fig. 1g, h). Interestingly, it was noted that unlike the SOD1G93a males, the SOD1G93a females displayed more complex laminae–genotype-specific synaptic changes in both PSD density (F(14, 96) = 2.34, p = 0.008) and size (F(14, 96) = 3.68, p < 0.0001). The dorsal laminae I-II of SOD1G93a females displaying increased PSD density and size compared to WTSOD1, while ventral laminae were more likely to show reduced PSD density and size compared to WTSOD1 and controls.

To address whether synaptic loss was associated with MN cell death, we performed immunolabelling using a choline acetyltransferase (ChAT) specific antibody. We found no significant loss of MNs in 16-week old SOD1G93a male spinal cords (SI. Fig. 2a–d; t(6) = 0.99, p = 0.36). While other studies indicate MN cell loss can occur from approximately 16 weeks onwards [19], our data suggest that synaptic changes occur prior to overt MN cell death.

Next, we examined the spinal cords of mice carrying a mutation in the C9orf72 gene, one of the most common genes associated with familial and sporadic ALS (SI. Fig. 3a, b). Synaptic maps from 12-week and 22-week-old C9orf72 mutant mice of both sexes were obtained to capture reported pre-symptomatic and early-symptomatic stages of the disease phenotype in this model [48, 55, 58]. Mapping PSD95-eGFP synapses revealed no difference in PSD density or size in C9orf72 mice compared to controls at either 12 or 22 weeks of age in both males and females (SI. Fig. 3c–j). The lack of synaptic changes in C9orf72 mice may reflect the fact that no motor phenotypes were observed in any of our C9orf72 mice even by 22 weeks. Our observations are consistent with reports from other groups that the penetrance of the phenotype in this mouse model can be very low in some colonies [55, 58].

In summary, our extensive synaptic mapping reveals a loss of PSDs at excitatory synapses in both male and female SOD1G93a mice during early symptomatic stages. Our data also suggest that male SOD1G93a mice display structural changes in synapses, an effect not as clearly observed in female SOD1G93a mice, perhaps due to the delayed onset of disease in females. While we observed no synaptic changes in C9of72 mutant mice, this mirrors the fact that no ALS-related phenotypes, such as acute motor decline or weight loss, were observed in these mice. Given that our C9orf72 mice fail to robustly recapitulate an ALS disease phenotype, they were not included in any further analyses.

Super-resolution microscopy reveals loss of multi-nanocluster synapses in the ALS mouse spinal cord

Our high-resolution microscopy data revealed both a reduced number and reduced average size of PSDs in 16-week SOD1G93a males. While confocal-level resolution is sufficient to measure synapse number and overall PSD size, the nanoscale organisation of synapses is best resolved using super-resolution microscopy. PSD95 forms nanoclusters (NCs) of approximately 100–150 nm diameter within the PSD [6, 7, 49, 56]. PSD size, which correlates with synaptic strength, is determined by the number of NCs per PSD (Fig. 2a). We performed g-STED microscopy of PSD95-eGFP expression in 16-week-old male SOD1G93a and control mice to quantify synaptic nanostructure (Fig. 2b; n = 4 mice per group). PSD95 NC size did not differ between genotypes (diameter ~ 140 nm; Fig. 2c; t(6) = 0.31, p = 0.77), and was consistent with previous measurements of PSD95 NC size using g-STED microscopy in both the brain and spinal cord [6, 7, 30]. Instead, SOD1G93a mice showed a reduced average number of NCs per PSD (~ 1.75 NCs per PSD) compared with controls (~ 2 NCs per PSD) (Fig. 2d; t(6) = 2.8, p = 0.03). This appears to be the result of a significant loss of large multi-NC-PSDs in SOD1G93a mice, while smaller 1 or 2 NC-PSDs were observed with similar frequency (Fig. 2e; χ(2) = 14.7, p = 0.0006). In controls, 23% of synapses were classed as containing three or more NCs, while 17% of SOD1G93a synapses contained three or more NCs.

The formation of PSD95 NCs at the synapse is dependent on palmitoylation of PSD95 at its N-terminal cysteine residue by the palmitoylating enzyme, zDHHC2. Having revealed a reduced number of PSD95 clusters per synapse in ALS mice, we assessed whether a change in zDHHC2 expression could be responsible. We analysed excitatory synapses (PSDs using PSD95-eGFP and presynaptic terminals using anti-VGLUT2 immunolabelling) for their expression of zDHHC2 by acquiring high-resolution images from the ventral horn of spinal cords from 16-week male control and SOD1G93a mice (Fig. 2f). zDHHC2 displayed a punctate expression showing close association with both PSD95-eGFP and VGLUT2 puncta. While the overall density of zDHHC2 puncta was not significantly different between genotypes (Fig. 2g; t(9) = 2.1, p = 0.067), there was a reduced number of PSDs colocalising with z-DHHC2 in SOD1G93a mice (Fig. 2h; t(9) = 2.6, p = 0.031). This finding suggests that reduced postsynaptic presence of the palmitoylation enzyme, zDHHC2, may be related to a reduced number of PSD95 NCs at the synapse and lead to incremental reductions in postsynaptic strength.

Widescale mapping reveals tripartite synapse loss in the ALS mouse spinal cord

Tripartite synapses are chemical synapses contacted by perisynaptic astrocytic processes (PAPs). Previously we used antibody labelling against PAP proteins EAAT2 and p-Ezrin to identify tripartite synapses in the mouse lumbar spinal cord based on colocalization or close association of PAP proteins with postsynaptic PSD95 and presynaptic VGLUT2 [6]. Immunolabelling for VGLUT2, p-Ezrin and EAAT2 are further validated here (SI. Figs. 4a–f, 5a, b). p-Ezrin and EAAT2 puncta strongly colocalised with one another in the mouse spinal cord (SI. Fig. 5a). Both PAP markers are closely associated with astrocytic cell bodies, branches and fine processes, labelled with glutamine synthetase, but display little direct colocalization with astrocytic GFAP-positive primary arbours (SI. Fig. 5b). These observations further confirm that both astrocytic EAAT2 and p-Ezrin label PAPs, making them ideal markers, in combination with synaptic markers, for visualising tripartite synapses. We, therefore, performed extensive high-resolution mapping of tripartite synapses in SOD1G93a and control spinal cords, labelling PSDs (PSD95-eGFP), presynaptic terminals (VGLUT2) and PAPs (EAAT2 or p-Ezrin).

At 8 weeks, male SOD1G93a mice displayed an increased density of EAAT2 puncta (F(1, 56) = 11.19, p = 0.0015; SI. Fig. 6a) and p-Ezrin puncta (F(1, 56) = 4.672, p = 0.035; SI. Fig. 6b) compared to controls. No changes were observed in male 12-week-old mice (SI. Fig. 6c, d), but by 16 weeks, male SOD1G93a mice displayed significantly reduced EAAT2 (F(1, 64) = 11.31, p = 0.0013; SI. Fig. 6e) and p-Ezrin (F(1, 48) = 8.828, p = 0.0046; SI. Fig. 6f) puncta density compared to controls. These data demonstrate age-dependent changes in PAP proteins, suggesting an early stage increase in p-Ezrin-positive PAPs and increased EAAT2 expression at PAPs, followed by a significant loss of both proteins by 16 weeks, following the onset of early motor deficits.

We next quantified the density of non-tripartite synapses and tripartite synapses in male control and SOD1G93a spinal cords at 8, 12 and 16 weeks. Using p-Ezrin, we observed no difference in the density of non-tripartite synapses between controls and SOD1G93a males at either 8 weeks (Fig. 3c, F(1, 56) = 2.24, P = 0.1404) 12 weeks (Fig. 3e; F(1,56) = 0.56, p = 0.456) or 16 weeks of age (Fig. 3g; F(1,48) = 2.4, p = 0.126). The density of tripartite synapses was also no different between control and SOD1G93a males at 8 weeks (Fig. 3c; F(1,56) = 0.2998, p = 0.586) and 12 weeks (Fig. 3e; F(1,56) = 0.83, p = 0.365). However, there was a significant reduction in tripartite synapse density at 16 weeks in SOD1G93a males (Fig. 3g; F(1,48) = 14.59, p = 0.0004). It was also confirmed that female 16-week old SOD1G93a mice displayed reduced numbers of p-Ezrin-associated tripartite synapses compared to controls (SI. Fig. 7a; F(1,80) = 5.65, p = 0.020), while non-tripartite synapses were seemingly unaffected (SI. Fig. 7b; F(1,80) = 0.19, p = 0.66).

Similarly, using EAAT2 as the PAP marker, the density of non-tripartite synapses was no different between controls and SOD1G93a males at either 8 weeks (Fig. 3d; F(1, 56) < 0.0001, p = 0.99), 12 weeks (Fig. 3f; F (1, 56) = 1.37, p = 0.247) or 16 weeks (Fig. 3h; F(1,64) = 2.40, p = 0.126). The density of EAAT2-associated tripartite synapses, however, was significantly increased in 8-week SOD1G93a males (Fig. 3d, F(1, 56) = 7.21, p = 0.0095), then subtly but significantly reduced in 12-week SOD1G93a males (Fig. 3f; F (1, 56) = 4.77, p = 0.033) and more significantly reduced in 16-week SOD1G93a males (Fig. 3h; F (1, 64) = 23.58, p < 0.0001). Female 16-week old SOD1G93a mice also displayed reduced numbers of EAAT2-associated tripartite synapses compared to controls (SI. Fig. 7c; F(1,88) = 8.42, p = 0.0047), while non-tripartite synapses were unaffected (SI. Fig. 7d; F(1,88) = 3.48, p = 0.066).

Next, we investigated whether there is a relationship between synaptic vulnerability and astrocytic coverage of synapses in different spinal cord laminae (SI. Fig. 8a–d). In the 16-week old male SOD1G93a mice, there was a significant correlation between the percentage of synapses contacted by p-Ezrin and the loss of tripartite synapses in each region (r = 0.935, p = 0.0006; SI. Fig. 8a, b). For example, dorsal laminae I–II displayed the highest proportion of synapses contacted by p-Ezrin (28%) and the smallest degree of tripartite synapse loss compared to controls (− 29%). This compares to ventral laminae VII with the smallest proportion of synapses contact by p-Ezrin (17%) and the greatest degree of tripartite synapse loss compared to controls (− 48%). There was a similar correlation between the percentage of EAAT2-associated tripartite synapses and the loss of tripartite synapses, though this was not statistically significant (r = 0.345, p = 0.401; SI. Fig. 8c, d).

From these experiments, using two different PAP markers, our data consistently demonstrate that tripartite synapses are a selectively vulnerable synapse subtype in early-symptomatic stage ALS mice.

Selective loss of tripartite synapses in the human ALS spinal cord

Finally, we addressed whether human cases of ALS also demonstrated synaptic and tripartite synaptic degeneration. Post-mortem cervical spinal cord sections were obtained from human cases, including 6 healthy controls (5 male, 1 female), and 9 ALS patients (all male) comprising 4 SOD1 cases and 5 C9orf72 cases (SI. Table 1). Synapses and tripartite synapses were visualised in the ventral horn using immunolabelling for PSD95 and p-Ezrin to identify PSDs and PAPs, respectively (Fig. 4a, b; SI. Fig. 9a–f).

When comparing control cases with all ALS cases (SOD1 and C9orf72), PSD density was significantly reduced in the ALS cervical spinal cord (Fig. 4c; t(13) = 2.6, p = 0.021). Interestingly, when control, SOD1 and C9orf72 cases were analysed separately, only C9orf72 cases displayed significantly reduced PSD density compared to controls (F(2,12) = 5.4, p = 0.0214; Control versus C9orf72: p = 0.0167). We observed no difference in PSD size between the three groups (F(2,12) = 0.16, p = 0.85).

Next, we asked how tripartite synapses and non-tripartite synapses are affected in ALS patients (Fig. 4d). Similar to results from the SOD1G93a mouse model, the density of non-tripartite synapses was no different between control, SOD1 and C9orf72 patients (F(2,12) = 1.44, p = 0.275), while the density of tripartite synapses was significantly reduced in C9orf72 cases compared to controls (F(2,12) = 8.16, p = 0.0058, Control versus C9orf72: p = 0.0044).

Taken together these findings provide evidence that tripartite synapses are selectively vulnerable to degeneration in human ALS cases, as observed in the SOD1G93a mouse model.

Discussion

This study set out to investigate how synapses and tripartite synapses are affected in the ALS spinal cord. To this end, we performed large-scale quantitative mapping of synapses and tripartite synapses in ALS mouse models and human post-mortem tissue. Our data revealed that, of the millions of synapses in the spinal cord, tripartite synapses appear to be selectively vulnerable to degeneration in ALS. We, therefore, describe ALS as a tripartite synaptopathy.

The functional, structural and molecular diversity of synapses throughout the nervous system, i.e., synaptome diversity, endows the nervous system with the capability to support a wide repertoire of behaviours from motor control to learning and memory [32, 33]. Over 130 different nervous system disorders, including ALS, can arise from mutations in postsynaptic proteins [4], and lead to wide-scale reprogramming of the synaptome [87]. Different diseases of the nervous system may display a unique synaptome signature, as certain subtypes of synapses may be more vulnerable to changes in one condition compared to another—thus leading to the specific behavioural consequences and symptoms of a given condition. By first identifying the vulnerable synapse subtypes of a given disease, we can establish therapeutic roadmaps to selectively target these synapse subtypes to treat the symptoms of disease.

The PSD95-eGFP mouse model provides a powerful tool with which to investigate the effects of diseases on synapses as PSD95 is abundantly expressed at the PSDs of excitatory synapses and forms a core molecular framework for synaptic machinery [13, 20, 28, 42, 87]. The same mouse model can be used for nanoscopic analyses of synapse subtypes based on postsynaptic substructure using super-resolution microscopy [6, 7].

This study also sought to identify whether astrocytes play a role in the vulnerability of synapses in ALS. Labelling the astrocytic component of the tripartite synapse was performed here using immunolabelling for either EAAT2 or p-Ezrin. Various studies support the use of either EAAT2 or Ezrin/p-Ezrin as robust markers for the PAPs which contact synapses [16, 27, 37, 46]. By performing tripartite synapse mapping with both PAP markers in parallel, we have observed strikingly similar findings which give us considerable confidence in our conclusion that tripartite synapses are vulnerable in ALS. Reduced levels of EAAT2 in the ALS spinal cord have been well documented [41, 47, 65]. The consistent reduction in both EAAT2 and the actin filament binding protein, p-Ezrin, suggest not just a molecular change in astrocytic protein expression but that the PAPs themselves are being lost.

Using the SOD1G93a mouse model, we observed synapse loss, structural changes in PSDs, changes in PAPs and a loss of tripartite synapses at early, symptomatic stages. While we observed significant synaptopathy in SOD1G93a mouse spinal cords, we observed no such alterations in C9orf72 mutant mice. The C9orf72 (C9BAC-500) mice were originally reported to display molecular hallmarks of ALS pathology, and acute motor deficits in 35% of the females carrying the mutation [48]. Further investigation by other groups using this model have shown different degrees of phenotypic penetrance [55, 58]. In our hands, the C9orf72 mice (the pure-bred colony and the progeny of PSD95-eGFP cross-breeding) display no such acute motor phenotypes in either males or females, though we did observe RNA foci accumulating in cell nuclei—a key molecular hallmark of ALS pathology. Other key molecular hallmarks of ALS such as TAR-DNA Binding protein-43 (TDP-43) pathology have been observed in the brains of symptomatic end-stage C9orf72 mice, but were not observed in asymptomatic mice [48], and this remains untested in the spinal cord. We consider that either genetic or environmental differences in our mouse colonies may have led to significantly reduced penetrance of the disease phenotype in the C9orf72 mouse line [58]. Given that phenotypic penetrance can be low, and that acute ALS phenotypes can occur between 20 and 40 weeks of age, further data collection from larger numbers of older animals may have captured the potential synaptic phenotype of this model. On the other hand, another mouse model with a more reliable phenotype, such as TDP-43A315T which has been shown previously to display both synaptic and astrocytic changes [44, 45], may be a more suitable alternative for further investigation of tripartite synaptopathy.

We employed large-scale anatomical mapping of synapses and tripartite synapses in the lumbar mouse spinal cord. It was anticipated that some anatomical laminae, for example laminae VII–IX, where MNs reside, may display more significant changes in synapses in ALS. Despite significant inter-regional diversity in PSD size and number [6], our data suggest that the loss of synapses occurs widely throughout the spinal cord and not simply localised to regions where MNs reside. This observation suggests that ALS may impact a broad range of sensory, integratory and motor circuitry. Interestingly, female SOD1G93a mice displayed significantly increased numbers of synapses in dorsal laminae I–II compared to controls, which is supported by previous reports of sensory-level alterations in ALS and other related disorders [22, 76]. p-Ezrin associated tripartite synapse loss also appeared to be most prominent in ventral lamina VII, where the smallest percentage of synapses are contacted by p-Ezrin. It is plausible that greater glial coverage of synapses in some regions of the nervous system may in fact help preserve synapses from degeneration. Regional diversity in astrocyte properties could also contribute to variation in tripartite synapse vulnerability [54, 73]. It would be of interest to investigate the nature of tripartite synapses in regions of the nervous system more resistant to ALS neurodegeneration, such as the oculomotor nucleus [14], to further elucidate why some synapses are more vulnerable than others.

Our mapping analyses also suggested that while synapse and tripartite synapse loss occurred in both male and female SOD1G93a mice, structural changes in PSDs may be more prominent across the whole spinal cord in males. In female SOD1G93a mice however, PSD size was reduced in many ventral laminae but increased in some dorsal laminae. Other studies indicate a more discernible gender bias in SOD1G93a mice, with males showing an earlier onset and increased rate of disease progression, and some changes in specific subtypes of spinal synapses only occurring in males [10, 36, 40]. In addition, clinical ALS cases present with a higher incidence in males [52].

Our extensive analysis of SOD1G93a mouse spinal cords revealed significant postsynaptic changes at the early symptomatic stage of 16 weeks (112 days), with no overt changes at 12 weeks (84 days) or 8 weeks (56 days) of age, although early signs of tripartite synapse loss were observed at 12-weeks. Others have reported reduced sizes of clusters of other synaptic proteins, such as scaffolding proteins Shank1 and Homer, and glutamatergic AMPA receptors on spinal cord MNs in pre-symptomatic 8-week old SOD1G93a mice [3]. Similarly, pre-symptomatic changes in cortical synapses and neuromuscular junctions have been observed as early as 4–6 weeks in mouse models [18, 21, 24, 25, 29]. Our current data does not suggest that significant synaptic alterations occur pre-symptomatically in spinal cord circuits, but instead suggests that they occur at the early symptomatic stages of the disease. Dying-forward (cortex to spinal cord) and dying-backward (periphery to spinal cord) mechanisms exist pre-symptomatically [18, 21], and may not lead to significant synaptic changes in the spinal cord until later in the disease progression. Furthermore, different techniques to visualise and quantify synaptic structure and function may confound direct comparisons across studies. For example, it is conceivable that changes in dendritic spines may occur without any apparent changes in the expression or organisation of PSD95 [25]. Comparative analyses of synaptic changes in both the brain and spinal cord in the early stages of ALS may help decipher whether synaptic changes occur simultaneously in various parts of the CNS, or whether, for example, motor cortex dysfunction drives synaptic dysfunction in the spinal cord in a feedforward manner.

In accordance with other reports of changes in the structure of synapses in ALS [3, 63, 64], our high-resolution imaging revealed reduced PSD size in early symptomatic SOD1G93a males. By employing super-resolution microscopy, we have performed nanoscopic analysis of the molecular organisation of synapses in ALS for the first time. This powerful microscopy technique has characterised the nature of ALS synaptopathy at the sub-diffraction scale, revealing a reduced number of large multi-NC synapses. PSD95 forms nanoscale postsynaptic domains that tether neurotransmitter receptor subdomains at the postsynaptic membrane, which align with presynaptic release sites to create trans-synaptic signalling nanocolumns [70]. Synaptic strength appears to correlate with the number of nanodomains within the synapse [7, 49, 56]. Our previous work has shown that multi-NC synapses are more likely to be tripartite synapses, based on their association with PAP proteins EAAT2 and p-Ezrin [6]. This supports the concept that large multi-NC tripartite synapses are those which are selectively vulnerable to degeneration in ALS. Given that the number of PSD95 subdomains per synapse correlates with synaptic strength, it is possible that the loss of these large, high-fidelity synaptic connections significantly contributes to early stage, progressive motor deficits. zDHHC2 is a palmitoylating enzyme that facilitates the clustering of PSD95 at the synapse. From our data, we also speculate that the dissociation of zDHHC2 from the PSD may lead to reduced clustering of PSD95 at the synapse [30], though the precise role of protein palmitoylation in neurodegenerative disease remains to be determined [12, 84].

Importantly, we were able to replicate our key observations of synapse and tripartite synapse loss in ALS mouse models when studying human cervical spinal cord tissue from ALS patients. Our analysis suggested that C9orf72 patients displayed significant synaptic loss and tripartite synapse vulnerability, while SOD1 patients did not show significant synapse or tripartite synapse loss compared to controls. In comparison, a previous investigation into synaptic changes in the prefrontal cortex of ALS patients revealed no differences in synaptic loss between SOD1 and C9orf72 associated cases, but did suggest that synaptic loss was most significant in cases displaying TDP-43 pathology—of which SOD1 cases showed none [38]. Together these data highlight the heterogenous nature of ALS. This heterogeneity is further underlined by the range of familial and sporadic cases of ALS. While less data is currently available regarding the fate of synapses in sporadic ALS, given that C9orf72 mutations represent the most common genetic basis of both sporadic and familial ALS and since three out of five C9orf72 patients used in this study had no family history of ALS, our findings may be applicable to both familial and sporadic cases.

On the face of it, our data presents a dichotomy between the SOD1 and C9orf72 mouse models and human patients. However, the lack of a robust phenotype in the C9orf72 mouse model (in our hands) likely renders it inappropriate to directly compare the two genotypes across mouse models and human patients. In addition, it is already known that there are differences between mouse lines expressing ALS-linked mutations and the human genetic cases that these models are attempting to recapitulate. For example, the SOD1G93a model shows a rapid rate of disease onset compared to the slow progression observed in human SOD1G93a cases [61]. Furthermore, the reported presence of TDP-43 pathology in SOD1G93a mice at end stage conflicts with the lack of such pathology in human SOD1 cases [50, 67]. Together with our own data, this demonstrates that caution should be taken when attempting to directly correlate mouse models with human cases involving similar genetic origins. It should be noted that while the SOD1G93a mouse may not fully recapitulate human ALS, it nevertheless represents a useful entry point for pursuing mechanistic understanding of the disease. Indeed the use of such mouse models has been essential in many advances in the understanding of ALS pathology [34].

The mechanisms leading to tripartite synapse degeneration remain to be determined. Mislocalisation and aggregation of TDP-43 in the cytoplasm of both neurons and glia is correlated with synapse loss in human ALS [38], and could play a role in designating tripartite synapses for degeneration. However, there is mixed evidence of TDP-43 pathology in the SOD1G93a mouse model [43, 67, 69]. Alternatively, the loss of astrocytic EAAT2 in ALS, due to aberrant RNA processing, is known to induce glutamatergic excitotoxicity that could lead to synapse degeneration and ultimately cell death [41, 47, 51, 62]. Our own data supports this hypothesis given that synaptic loss coincides with EAAT2 loss. Astrocytes also contribute to bi-directional signalling mechanisms that help modulate spinal cord mediated motor behaviour through purinergic signalling [1, 8, 9, 11, 79, 80]. Neuronal-derived glutamate released during locomotor network activity activates astrocytes through mGluR5 receptors, leading to ATP/adenosine release from astrocytes that inhibits neuronal activity through A1 adenosine receptors [8]. Increased adenosine levels in ALS patients [83], combined with increased expression of the excitatory A2A adenosine receptors [57], could imbalance this modulatory mechanism, biasing the system toward excitotoxic actions at the tripartite synapse. Our current study provides evidence that tripartite synapses, and the specific signalling pathways they utilise to regulate neuronal activity, may act as a fulcrum of ALS. These novel findings regarding selective synaptic vulnerability highlight numerous future avenues to explore and provide the framework to investigate the mechanisms and therapeutic potential of ALS tripartite synaptopathy.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

We would like to acknowledge the following funders: Motor Neurone Disease (MND) Association UK (Miles/Apr18/863-791), the Euan MacDonald Centre and Chief Scientist Office, The European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (695568 SYNNOVATE), Simons Foundation Autism Research Initiative (529085), and the Wellcome Trust (Technology Development grant 202932). We would also like to acknowledge the MRC Edinburgh Brain Bank for the provision of human post-mortem tissue, and kindly thank the patient donors and their families for their valued contribution to this work.

Data availability

The data used in this manuscript is freely available upon request.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Matthew J. Broadhead and Calum Bonthron are co-first author.

References

  • 1.Acton D, Miles GB. Stimulation of glia reveals modulation of mammalian spinal motor networks by adenosine. PLoS One. 2015;10:e0134488. doi: 10.1371/journal.pone.0134488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Araque A, Parpura V, Sanzgiri RP, Haydon PG. Tripartite synapses: Glia, the unacknowledged partner. Trends Neurosci. 1999;22:208–215. doi: 10.1016/S0166-2236(98)01349-6. [DOI] [PubMed] [Google Scholar]
  • 3.Bączyk M, Alami NO, Delestrée N, Martinot C, Tang L, Commisso B, et al. Synaptic restoration by cAMP/PKA drives activity-dependent neuroprotection to motoneurons in ALS. J Exp Med. 2020 doi: 10.1084/JEM.20191734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bayés A, van de Lagemaat LN, Collins MO, Croning MDR, Whittle IR, Choudhary JS, et al. Characterization of the proteome, diseases and evolution of the human postsynaptic density. Nat Neurosci. 2011;14:19–21. doi: 10.1038/nn.2719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Boillée S, Yamanaka K, Lobsiger CS, Copeland NG, Jenkins NA, Kassiotis G, et al. Onset and progression in inherited ALS determined by motor neurons and microglia. Science (80–) 2006;312:1389–1392. doi: 10.1126/SCIENCE.1123511. [DOI] [PubMed] [Google Scholar]
  • 6.Broadhead MJ, Bonthron C, Arcinas L, Bez S, Zhu F, Goff F, et al. Nanostructural diversity of synapses in the mammalian spinal cord. Sci Rep. 2020;10:8189. doi: 10.1038/s41598-020-64874-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Broadhead MJ, Horrocks MH, Zhu F, Muresan L, Benavides-Piccione R, DeFelipe J, et al. PSD95 nanoclusters are postsynaptic building blocks in hippocampus circuits. Sci Rep. 2016;6:24626. doi: 10.1038/srep24626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Broadhead MJ, Miles GB. Bi-directional communication between neurons and astrocytes modulates spinal motor circuits. Front Cell Neurosci. 2020 doi: 10.3389/fncel.2020.00030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Broadhead MJ, Miles GB. A common role for astrocytes in rhythmic behaviours? Prog Neurobiol. 2021 doi: 10.1016/j.pneurobio.2021.102052. [DOI] [PubMed] [Google Scholar]
  • 10.Cacabelos D, Ramírez-Núñez O, Granado-Serrano AB, Torres P, Ayala V, Moiseeva V, et al. Early and gender-specific differences in spinal cord mitochondrial function and oxidative stress markers in a mouse model of ALS. Acta Neuropathol Commun. 2016;4:3. doi: 10.1186/s40478-015-0271-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Carlsen EM, Perrier J-F. Purines released from astrocytes inhibit excitatory synaptic transmission in the ventral horn of the spinal cord. Front Neural Circ. 2014;8:60. doi: 10.3389/fncir.2014.00060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Cho E, Park M. Palmitoylation in Alzheimer’s disease and other neurodegenerative diseases. Pharmacol Res. 2016;111:133–151. doi: 10.1016/j.phrs.2016.06.008. [DOI] [PubMed] [Google Scholar]
  • 13.Cizeron M, Qiu Z, Koniaris B, Gokhale R, Komiyama NH, Fransén E, et al. A brainwide atlas of synapses across the mouse life span. Science (80–) 2020 doi: 10.1126/science.aba3163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Comley L, Allodi I, Nichterwitz S, Nizzardo M, Simone C, Corti S, et al. Motor neurons with differential vulnerability to degeneration show distinct protein signatures in health and ALS. Neuroscience. 2015;291:216–229. doi: 10.1016/J.NEUROSCIENCE.2015.02.013. [DOI] [PubMed] [Google Scholar]
  • 15.Curran OE, Qiu Z, Smith C, Grant SGN. A single-synapse resolution survey of PSD95-positive synapses in twenty human brain regions. Eur J Neurosci. 2021;54:6864–6881. doi: 10.1111/ejn.14846. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Derouiche A, Anlauf E, Aumann G, Mühlstädt B, Lavialle M. Anatomical aspects of glia–synapse interaction: the perisynaptic glial sheath consists of a specialized astrocyte compartment. J Physiol. 2002;96:177–182. doi: 10.1016/S0928-4257(02)00004-9. [DOI] [PubMed] [Google Scholar]
  • 17.Devlin A-C, Burr K, Borooah S, Foster JD, Cleary EM, Geti I, et al. Human iPSC-derived motoneurons harbouring TARDBP or C9ORF72 ALS mutations are dysfunctional despite maintaining viability. Nat Commun. 2015;6:5999. doi: 10.1038/ncomms6999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Eisen A. The dying forward hypothesis of ALS: tracing its history. Brain Sci. 2021;11:1–9. doi: 10.3390/BRAINSCI11030300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Feeney SJ, McKelvie PA, Austin L, Bernadette Jean-Francois MJ, Kapsa R, Tombs SM, et al. Presymptomatic motor neuron loss and reactive astrocytosis in the sod1 mouse model of amyotrophic lateral sclerosis. Muscle Nerve. 2001;24:1510–1519. doi: 10.1002/mus.1176. [DOI] [PubMed] [Google Scholar]
  • 20.Fernández E, Collins MO, Uren RT, Kopanitsa MV, Komiyama NH, Croning MDR, et al. Targeted tandem affinity purification of PSD-95 recovers core postsynaptic complexes and schizophrenia susceptibility proteins. Mol Syst Biol. 2009 doi: 10.1038/msb.2009.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Fischer LR, Culver DG, Tennant P, Davis AA, Wang M, Castellano-Sanchez A, et al. Amyotrophic lateral sclerosis is a distal axonopathy: evidence in mice and man. Exp Neurol. 2004;185:232–240. doi: 10.1016/j.expneurol.2003.10.004. [DOI] [PubMed] [Google Scholar]
  • 22.Fletcher EV, Simon CM, Pagiazitis JG, Chalif JI, Vukojicic A, Drobac E, et al. Reduced sensory synaptic excitation impairs motor neuron function via Kv2.1 in spinal muscular atrophy. Nat Neurosci. 2017;20:905–916. doi: 10.1038/nn.4561. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Fogarty MJ. Amyotrophic lateral sclerosis as a synaptopathy. Neural Regen Res. 2019;14:189–192. doi: 10.4103/1673-5374.244782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Fogarty MJ, Klenowski PM, Lee JD, Drieberg-Thompson JR, Bartlett SE, Ngo ST, et al. Cortical synaptic and dendritic spine abnormalities in a presymptomatic TDP-43 model of amyotrophic lateral sclerosis. Sci Rep. 2016 doi: 10.1038/srep37968. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Fogarty MJ, Noakes PG, Bellingham MC. Motor cortex layer V pyramidal neurons exhibit dendritic regression, spine loss, and increased synaptic excitation in the presymptomatic hSOD1G93A mouse model of amyotrophic lateral sclerosis. J Neurosci. 2015;35:643–647. doi: 10.1523/JNEUROSCI.3483-14.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Forsberg K, Andersen PM, Marklund SL, Brännström T. Glial nuclear aggregates of superoxide dismutase-1 are regularly present in patients with amyotrophic lateral sclerosis. Acta Neuropathol. 2011;121:623–634. doi: 10.1007/s00401-011-0805-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Foster JB, Zhao F, Wang X, Xu Z, Lin K, Askwith CC, et al. Pyridazine-derivatives enhance structural and functional plasticity of tripartite synapse via activation of local translation in astrocytic processes. Neuroscience. 2018;388:224–238. doi: 10.1016/j.neuroscience.2018.07.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Frank RA, Grant SG. Supramolecular organization of NMDA receptors and the postsynaptic density. Curr Opin Neurobiol. 2017;45:139–147. doi: 10.1016/j.conb.2017.05.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Frey D, Schneider C, Xu L, Borg J, Spooren W, Caroni P. Early and selective loss of neuromuscular synapse subtypes with low sprouting competence in motoneuron diseases. J Neurosci. 2000;20:2534–2542. doi: 10.1523/JNEUROSCI.20-07-02534.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Fukata Y, Dimitrov A, Boncompain G, Vielemeyer O, Perez F, Fukata M. Local palmitoylation cycles define activity-regulated postsynaptic subdomains. J Cell Biol. 2013;202:145–161. doi: 10.1083/jcb.201302071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Gillingwater TH, Wishart TM. Mechanisms underlying synaptic vulnerability and degeneration in neurodegenerative disease. Neuropathol Appl Neurobiol. 2013;39:320–334. doi: 10.1111/nan.12014. [DOI] [PubMed] [Google Scholar]
  • 32.Grant SGN. Synapse diversity and synaptome architecture in human genetic disorders. Hum Mol Genet. 2019;28:R219–R225. doi: 10.1093/hmg/ddz178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Grant SGN, Fransén E. The synapse diversity dilemma: molecular heterogeneity confounds studies of synapse function. Front Synaptic Neurosci. 2020 doi: 10.3389/fnsyn.2020.590403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Gurney ME, Fleck TJ, Himes CS, Hall ED. Riluzole preserves motor function in a transgenic model of familial amyotrophic lateral sclerosis. Neurology. 1998;50:62–66. doi: 10.1212/WNL.50.1.62. [DOI] [PubMed] [Google Scholar]
  • 35.Gurney ME, Pu H, Chiu AY, Dal Canto MC, Polchow CY, Alexander DD, et al. Motor neuron degeneration in mice that express a human Cu, Zn superoxide dismutase mutation. Science (80–) 1994;264:1772–1775. doi: 10.1126/science.8209258. [DOI] [PubMed] [Google Scholar]
  • 36.Heiman-Patterson TD, Deitch JS, Blankenhorn EP, Erwin KL, Perreault MJ, Alexander BK, et al. Background and gender effects on survival in the TgN(SOD1-G93A)1Gur mouse model of ALS. J Neurol Sci. 2005;236:1–7. doi: 10.1016/j.jns.2005.02.006. [DOI] [PubMed] [Google Scholar]
  • 37.Heller JP, Rusakov DA. The nanoworld of the tripartite synapse: insights from super-resolution microscopy. Front Cell Neurosci. 2017;11:374. doi: 10.3389/fncel.2017.00374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Henstridge CM, Sideris DI, Carroll E, Rotariu S, Salomonsson S, Tzioras M, et al. Synapse loss in the prefrontal cortex is associated with cognitive decline in amyotrophic lateral sclerosis. Acta Neuropathol. 2018;135:213–226. doi: 10.1007/s00401-017-1797-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Henstridge CM, Tzioras M, Paolicelli RC. Glial contribution to excitatory and inhibitory synapse loss in neurodegeneration. Front Cell Neurosci. 2019 doi: 10.3389/FNCEL.2019.00063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Herron LR, Miles GB. Gender-specific perturbations in modulatory inputs to motoneurons in a mouse model of amyotrophic lateral sclerosis. Neuroscience. 2012;226:313–323. doi: 10.1016/j.neuroscience.2012.09.031. [DOI] [PubMed] [Google Scholar]
  • 41.Howland DS, Liu J, She Y, Goad B, Maragakis NJ, Kim B, et al. Focal loss of the glutamate transporter EAAT2 in a transgenic rat model of SOD1 mutant-mediated amyotrophic lateral sclerosis (ALS) Proc Natl Acad Sci USA. 2002;99:1604–1609. doi: 10.1073/pnas.032539299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Husi H, Grant SGN. Isolation of 2000-kDa complexes of N-methyl-d-aspartate receptor and postsynaptic density 95 from mouse brain. J Neurochem. 2001;2(2006):0023. doi: 10.1038/msb4100041. [DOI] [PubMed] [Google Scholar]
  • 43.Jeon GS, Shim YM, Lee DY, Kim JS, Kang MJ, Ahn SH, et al. Pathological modification of TDP-43 in amyotrophic lateral sclerosis with SOD1 mutations. Mol Neurobiol. 2019;56:2007–2021. doi: 10.1007/s12035-018-1218-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Jiang T, Handley E, Brizuela M, Dawkins E, Lewis KEA, Clark RM, et al. Amyotrophic lateral sclerosis mutant TDP-43 may cause synaptic dysfunction through altered dendritic spine function. DMM Dis Model Mech. 2019 doi: 10.1242/dmm.038109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Ke YD, van Hummel A, Stevens CH, Gladbach A, Ippati S, Bi M, et al. Short-term suppression of A315T mutant human TDP-43 expression improves functional deficits in a novel inducible transgenic mouse model of FTLD-TDP and ALS. Acta Neuropathol. 2015;130:661–678. doi: 10.1007/s00401-015-1486-0. [DOI] [PubMed] [Google Scholar]
  • 46.Lavialle M, Aumann G, Anlauf E, Pröls F, Arpin M, Derouiche A. Structural plasticity of perisynaptic astrocyte processes involves ezrin and metabotropic glutamate receptors. Proc Natl Acad Sci USA. 2011;108:12915–12919. doi: 10.1073/pnas.1100957108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Lin CLG, Bristol LA, Jin L, Dykes-Hoberg M, Crawford T, Clawson L, et al. Aberrant RNA processing in a neurodegenerative disease: the cause for absent EAAT2, a glutamate transporter, in amyotrophic lateral sclerosis. Neuron. 1998;20:589–602. doi: 10.1016/S0896-6273(00)80997-6. [DOI] [PubMed] [Google Scholar]
  • 48.Liu Y, Pattamatta A, Zu T, Reid T, Bardhi O, Borchelt DRR, et al. C9orf72 BAC mouse model with motor deficits and neurodegenerative features of ALS/FTD. Neuron. 2016;90:521–534. doi: 10.1016/j.neuron.2016.04.005. [DOI] [PubMed] [Google Scholar]
  • 49.MacGillavry HD, Song Y, Raghavachari S, Blanpied TA. Nanoscale scaffolding domains within the postsynaptic density concentrate synaptic AMPA receptors. Neuron. 2013;78:615–622. doi: 10.1016/j.neuron.2013.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Mackenzie IRA, Bigio EH, Ince PG, Geser F, Neumann M, Cairns NJ, et al. Pathological TDP-43 distinguishes sporadic amyotrophic lateral sclerosis from amyotrophic lateral sclerosis with SOD1 mutations. Ann Neurol. 2007;61:427–434. doi: 10.1002/ana.21147. [DOI] [PubMed] [Google Scholar]
  • 51.Maragakis NJ, Rothstein JD. Mechanisms of disease: astrocytes in neurodegenerative disease. Nat Clin Pract Neurol. 2006;2:679–689. doi: 10.1038/ncpneuro0355. [DOI] [PubMed] [Google Scholar]
  • 52.McCombe PA, Henderson RD. Effects of gender in amyotrophic lateral sclerosis. Gend Med. 2010;7:557–570. doi: 10.1016/j.genm.2010.11.010. [DOI] [PubMed] [Google Scholar]
  • 53.Mead RJ, Bennett EJ, Kennerley AJ, Sharp P, Sunyach C, Kasher P, et al. Optimised and rapid pre-clinical screening in the SOD1 G93A transgenic mouse model of amyotrophic lateral sclerosis (ALS) PLoS One. 2011 doi: 10.1371/journal.pone.0023244. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Molofsky AV, Kelley KW, Tsai HH, Redmond SA, Chang SM, Madireddy L, et al. Astrocyte-encoded positional cues maintain sensorimotor circuit integrity. Nature. 2014;509:189. doi: 10.1038/NATURE13161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Mordes DA, Morrison BM, Ament XH, Cantrell C, Mok J, Eggan P, et al. Absence of survival and motor deficits in 500 repeat C9ORF72 BAC mice. Neuron. 2020;108:775–783.e4. doi: 10.1016/J.NEURON.2020.08.009. [DOI] [PubMed] [Google Scholar]
  • 56.Nair D, Hosy E, Petersen JD, Constals A, Giannone G, Choquet D, et al. Super-resolution imaging reveals that AMPA receptors inside synapses are dynamically organized in nanodomains regulated by PSD95. J Neurosci. 2013;33:13204–13224. doi: 10.1523/JNEUROSCI.2381-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Ng S, Higashimori H, Tolman M, Yang Y. Suppression of adenosine 2a receptor (A2aR)-mediated adenosine signaling improves disease phenotypes in a mouse model of amyotrophic lateral sclerosis. Exp Neurol. 2015;267:115–122. doi: 10.1016/j.expneurol.2015.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Nguyen L, Laboissonniere LA, Guo S, Pilotto F, Scheidegger O, Oestmann A, et al. Survival and motor phenotypes in FVB C9–500 ALS/FTD BAC transgenic mice reproduced by multiple labs. Neuron. 2020;108:784–796.e3. doi: 10.1016/j.neuron.2020.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Perea G, Navarrete M, Araque A. Tripartite synapses: astrocytes process and control synaptic information. Trends Neurosci. 2009;32:421–431. doi: 10.1016/j.tins.2009.05.001. [DOI] [PubMed] [Google Scholar]
  • 60.Perkins EM, Burr K, Banerjee P, Mehta AR, Dando O, Selvaraj BT, et al. Altered network properties in C9ORF72 repeat expansion cortical neurons are due to synaptic dysfunction. Mol Neurodegener. 2021;16:1–16. doi: 10.1186/s13024-021-00433-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Picher-Martel V, Valdmanis PN, Gould PV, Julien JP, Dupré N. From animal models to human disease: a genetic approach for personalized medicine in ALS. Acta Neuropathol Commun. 2016 doi: 10.1186/S40478-016-0340-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Rothstein JD, Dykes-Hoberg M, Pardo CA, Bristol LA, Jin L, Kuncl RW, et al. Knockout of glutamate transporters reveals a major role for astroglial transport in excitotoxicity and clearance of glutamate. Neuron. 1996;16:675–686. doi: 10.1016/S0896-6273(00)80086-0. [DOI] [PubMed] [Google Scholar]
  • 63.Sasaki S, Iwata M. Synaptic loss in the proximal axon of anterior horn neurons in motor neuron disease. Acta Neuropathol. 1995;90:170–175. doi: 10.1007/BF00294317. [DOI] [PubMed] [Google Scholar]
  • 64.Sasaki S, Iwata M. Synaptic loss in anterior horn neurons in lower motor neuron disease. Acta Neuropathol. 1996;91:416–421. doi: 10.1007/s004010050444. [DOI] [PubMed] [Google Scholar]
  • 65.Sasaki S, Komori T, Iwata M. Excitatory amino acid transporter 1 and 2 immunoreactivity in the spinal cord in amyotrophic lateral sclerosis. Acta Neuropathol. 2000;100:138–144. doi: 10.1007/s004019900159. [DOI] [PubMed] [Google Scholar]
  • 66.Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9:676–682. doi: 10.1038/NMETH.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Shan X, Vocadlo D, Krieger C. Mislocalization of TDP-43 in the G93A mutant SOD1 transgenic mouse model of ALS. Neurosci Lett. 2009;458:70–74. doi: 10.1016/j.neulet.2009.04.031. [DOI] [PubMed] [Google Scholar]
  • 68.Starr A, Sattler R. Synaptic dysfunction and altered excitability in C9ORF72 ALS/FTD. Brain Res. 2018;1693:98–108. doi: 10.1016/j.brainres.2018.02.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Tan CF, Eguchi H, Tagawa A, Onodera O, Iwasaki T, Tsujino A, et al. TDP-43 immunoreactivity in neuronal inclusions in familial amyotrophic lateral sclerosis with or without SOD1 gene mutation. Acta Neuropathol. 2007;113:535–542. doi: 10.1007/s00401-007-0206-9. [DOI] [PubMed] [Google Scholar]
  • 70.Tang A-H, Chen H, Li TP, Metzbower SR, MacGillavry HD, Blanpied TA. A trans-synaptic nanocolumn aligns neurotransmitter release to receptors. Nature. 2016;536:210–214. doi: 10.1038/nature19058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Tong J, Huang C, Bi F, Wu Q, Huang B, Liu X, et al. Expression of ALS-linked TDP-43 mutant in astrocytes causes non-cell-autonomous motor neuron death in rats. EMBO J. 2013;32:1917–1926. doi: 10.1038/emboj.2013.122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Tremblay E, Martineau É, Robitaille R. Opposite synaptic alterations at the neuromuscular junction in an ALS mouse model: when motor units matter. J Neurosci. 2017;37:8901. doi: 10.1523/JNEUROSCI.3090-16.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Tsai HH, Li H, Fuentealba LC, Molofsky AV, Taveira-Marques R, Zhuang H, et al. Regional astrocyte allocation regulates CNS synaptogenesis and repair. Science. 2012;337:358. doi: 10.1126/SCIENCE.1222381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Valori CF, Brambilla L, Martorana F, Rossi D. The multifaceted role of glial cells in amyotrophic lateral sclerosis. Cell Mol Life Sci. 2014;71:287–297. doi: 10.1007/s00018-013-1429-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Van Zundert B, Peuscher MH, Hynynen M, Chen A, Neve RL, Brown RH, et al. Neonatal neuronal circuitry shows hyperexcitable disturbance in a mouse model of the adult-onset neurodegenerative disease amyotrophic lateral sclerosis. J Neurosci. 2008;28:10864–10874. doi: 10.1523/JNEUROSCI.1340-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Vaughan SK, Sutherland NM, Zhang S, Hatzipetros T, Vieira F, Valdez G. The ALS-inducing factors, TDP43A315T and SOD1G93A, directly affect and sensitize sensory neurons to stress. Sci Rep. 2018 doi: 10.1038/s41598-018-34510-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Watson C, Paxinos G, Kayalioglu G, Christopher & Dana Reeve Foundation . The spinal cord: a Christopher and Dana Reeve Foundation text and atlas. Elsevier/Academic Press; 2009. [Google Scholar]
  • 78.Wishart TM, Parson SH, Gillingwater TH. Synaptic vulnerability in neurodegenerative disease. J Neuropathol Exp Neurol. 2006;65:733–739. doi: 10.1097/01.jnen.0000228202.35163.c4. [DOI] [PubMed] [Google Scholar]
  • 79.Witts EC, Nascimento F, Miles GB. Adenosine-mediated modulation of ventral horn interneurons and spinal motoneurons in neonatal mice. J Neurophysiol. 2015;114:2305–2315. doi: 10.1152/jn.00574.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Witts EC, Panetta KM, Miles GB. Glial-derived adenosine modulates spinal motor networks in mice. J Neurophysiol. 2012;107:1925–1934. doi: 10.1152/jn.00513.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Yamanaka K, Chun SJ, Boillee S, Fujimori-Tonou N, Yamashita H, Gutmann DH, et al. Astrocytes as determinants of disease progression in inherited amyotrophic lateral sclerosis. Nat Neurosci. 2008;11:251–253. doi: 10.1038/nn2047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Yamanaka K, Komine O. The multi-dimensional roles of astrocytes in ALS. Neurosci Res. 2018;126:31–38. doi: 10.1016/j.neures.2017.09.011. [DOI] [PubMed] [Google Scholar]
  • 83.Yoshida Y, Une F, Utatsu Y, Nomoto M, Furukawa Y, Maruyama Y, et al. Adenosine and neopterin levels in cerebrospinal fluid of patients with neurological disorders. Intern Med. 1999;38:133–139. doi: 10.2169/internalmedicine.38.133. [DOI] [PubMed] [Google Scholar]
  • 84.Zaręba-Kozioł M, Figiel I, Bartkowiak-Kaczmarek A, Włodarczyk J. Insights into protein S-palmitoylation in synaptic plasticity and neurological disorders: potential and limitations of methods for detection and analysis. Front Mol Neurosci. 2018;11:175. doi: 10.3389/fnmol.2018.00175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Zarei S, Carr K, Reiley L, Diaz K, Guerra O, Altamirano PF, et al. A comprehensive review of amyotrophic lateral sclerosis. Surg Neurol Int. 2015;6:171. doi: 10.4103/2152-7806.169561. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Zhao C, Devlin AC, Chouhan AK, Selvaraj BT, Stavrou M, Burr K, et al. Mutant C9orf72 human iPSC-derived astrocytes cause non-cell autonomous motor neuron pathophysiology. Glia. 2020;68:1046–1064. doi: 10.1002/glia.23761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Zhu F, Cizeron M, Qiu Z, Benavides-Piccione R, Kopanitsa MV, Skene NG, et al. Architecture of the mouse brain synaptome. Neuron. 2018 doi: 10.1016/j.neuron.2018.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]

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