Skip to main content
Download PDF

Neuroprotection by WldS depends on retinal ganglion cell type and age in glaucoma

Molecular Neurodegeneration volume 16, Article number: 36 (2021) Cite this article

Abstract

Background

Early challenges to axonal physiology, active transport, and ultrastructure are endemic to age-related neurodegenerative disorders, including those affecting the optic nerve. Chief among these, glaucoma causes irreversible vision loss through sensitivity to intraocular pressure (IOP) that challenges retinal ganglion cell (RGC) axons, which comprise the optic nerve. Early RGC axonopathy includes distal to proximal progression that implicates a slow form of Wallerian degeneration. In multiple disease models, including inducible glaucoma, expression of the slow Wallerian degeneration (WldS) allele slows axon degeneration and confers protection to cell bodies.

Methods

Using an inducible model of glaucoma along with whole-cell patch clamp electrophysiology and morphological analysis, we tested if WldS also protects RGC light responses and dendrites and, if so, whether this protection depends upon RGC type. We induced glaucoma in young and aged mice to determine if neuroprotection by WldS on anterograde axonal transport and spatial contrast acuity depends on age.

Results

We found WldS protects dendritic morphology and light-evoked responses of RGCs that signal light onset (αON-Sustained) during IOP elevation. However, IOP elevation significantly reduces dendritic complexity and light responses of RGCs that respond to light offset (αOFF-Sustained) regardless of WldS. As expected, WldS preserves anterograde axon transport and spatial acuity in young adult mice, but its protection is significantly limited in aged mice.

Conclusion

The efficacy of WldS in conferring protection to neurons and their axons varies by cell type and diminishes with age.

Background

Age-related neurodegenerative disorders of the brain differ in etiology but often share similar important features [1, 2]. Among these are early challenges to axonal physiology, active transport, and ultrastructure [1, 3]. These pathological features are also endemic in diseases that affect the optic nerve, which conveys visual signals from the retina to central projection sites in the brain. Glaucomatous optic neuropathy (or glaucoma) is characterized by early axonopathy, including deficits in axonal anterograde transport from retina to central brain targets [4, 5]. The disease causes vision loss through progressive degeneration of retinal ganglion cells (RGCs) and their axons, which comprise the optic nerve. The disease remains a prevalent neurodegenerative disorder and is the leading cause of irreversible blindness worldwide, with an estimated 100 million people afflicted by 2040 [6]. Sensitivity to intraocular pressure (IOP) is an associated risk factor for glaucoma, and higher IOP is linked to accelerated pathology [5, 7, 8]. Thus, current treatments focus on lowering IOP. However, regardless of hypotensive therapeutic intervention, many patients continue to lose vision [9]. Thus, like age-related diseases of the brain itself, therapeutics are needed that address neurodegeneration directly [10].

Abating axon dysfunction early in neurodegeneration can prevent subsequent stages of glaucomatous progression [2, 3, 11, 12]. This is so as well in experimental models of glaucoma, which generally rely upon inducible or transgenic-related elevations in IOP [13, 14]. In rodents, experimental interventions that slow or prevent loss of anterograde transport to RGC projection sites in the brain also impede axon degeneration in the optic nerve and cell body loss in the retina [5, 15,16,17]. Without intact transport, axons undergo Wallerian or Wallerian-like degeneration [1]. Expression of the WldS (slow Wallerian degeneration) allele significantly delays axon degeneration in numerous disease models [18], though protection is dose- and possibly age-dependent [19, 20]. In glaucoma models, WldS preserves RGC axon structure, delays cell body loss, and preserves measures of gross retinal function [21,22,23,24,25]. The WldS mutation creates a chimeric fusion protein containing 70 N-terminal amino acids of ubiquitination factor Ube4b linked to full-length nicotinamide mononucleotide adenylyltransferase 1 or Nmnat1, the enzyme responsible for synthesis of nicotinamide adenine dinucleotide or NAD, a cofactor involved in oxidative phosphorylation [26,27,28]. Glaucoma compromises RGC axon metabolism long before outright degeneration primarily through elevated oxidative stress and reduced mitochondrial efficiency [4, 5, 29]. Supplementation with nicotinamide, a NAD precursor, preserves RGC metabolism, anterograde axon transport and optic nerve integrity in the DBA/2 J mouse model of glaucoma [24, 30].

Here we asked whether WldS also confers protection to RGC dendritic arbors in the retina and, if so, whether this protection depends upon RGC type. In glaucoma, RGCs that depolarize to light onset (ON cells) or light offset (OFF cells) may show different susceptibility to IOP elevations [31,32,33]. Using our microbead occlusion paradigm [14, 29, 34], we elevated IOP (+ 33%) in WldS mice and recorded light responses from a major class of ON and OFF RGCs, the α-Sustained type [32, 33, 35, 36]. By comparing wild-type (WT) and WldS RGC responses and morphology, we find that WldS protects αON-Sustained light responses and dendritic morphology following IOP elevation for 1 month. However, WldS αOFF-Sustained RGCs showed reduced light responses and dendritic complexity, similar to WT RGCs. Interestingly, while WldS preserved anterograde axonal transport to the brain and spatial contrast acuity in young mice, its protection diminished with age.

Methods

Animals

The Vanderbilt University Institutional Animal Care and Use Committee approved all experimental procedures described below. We purchased 6 to 8-week-old and 1-year old male wild type C57BL/6 mice (WT) from the Charles River Laboratory (Wilmington, MA). Two breeding pairs of homozygous slow Wallerian degeneration mutant mice (WldS) on C57BL/6 background were kindly donated by Dr. Shu-Wei Sun from Loma Linda University [37]. We bred WldS mice in the Vanderbilt University Medical Center Division of Animal Care. For our experiments we used 6 to 10-week-old and 1-year old male and female homozygous WldS mice (see Genotype Confirmation). Mice were maintained on a 12-h light-dark cycle with standard rodent chow available ad libitum.

Genotype confirmation

We genotyped WldS mice following the published protocol [38]. Briefly, we extracted genomic DNA from tails (DNeasy Blood & Tissue, Qiagen, Hilden, Germany). Because the WldS mutation contains an in tandem triplication of a region intrinsic to the mouse genome, we determined the copy number of mutant WldS alleles (QuantStudio 3 Real Time PCR, Applied Biosystems, Waltham, MA) using the following primers: WldS forward: 5′-GGC AGT GAC GCT CAG AAA TTC-3′ and WldS reverse: 5′- GTT CAC CAG GTG GAT GTT GCT-3′. β-tubulin forward: 5′-GCC AGA GTG GTG CAG GAA ATA-3′ β-tubulin reverse: 5′-TCA CCA CGT CCA GGA CAG AGT-3′. For each mouse, WldS allele copy number was measured in triplicate, normalized to β-tubulin as endogenous control, and we quantified the copy number using the comparative ΔCT method [39]. We then normalized WldS copy number relative to WldS copy number measured in WT C57 mice obtained from Charles River Laboratory. As previously observed [38], WldS copies formed a continuum. We defined animal genotype by WldS copies using criteria established by [38]. WldS null mice copy number ranged from 0 to 1.4 (WldS−/−), WldS heterozygotes 1.4–2.5 (WldS+/−), and WldS homozygotes ≥2.5 (WldS+/+, Fig. 1A).

Fig. 1
figure 1

Genotype Confirmation, IOP Elevation, and RGC Density Measurements. A Quantitative RT-PCR measurements of WldS transgene in genomic DNA from WldS null (WldS−/−), WldS heterozygous (WldS+/−), and WldS homozygous (WldS+/+) mice. Values are normalized against WT animals. B Agarose gel (2%) showing RT-PCR detection in the retina of WldS chimeric (a,b) and housekeeping GAPDH (c) transcripts from WldS+/+, WldS+/−, and WT mice. 1,2 indicates samples extracted from different mice. C Mean intraocular pressure (IOP) in WT (circles) and WldS+/+ (squares) mice before (day 0) and following (days ≥1) a single unilateral injection of polystyrene microbeads (gray symbols) or equivalent volume of saline (white symbols). D Microbead injection significantly elevated IOP in all genotypes (WT: 19.64 ± 1.82 vs. 14.81 ± 1.54 mmHg, p < 0.001; WldS+/+: 19.48 ± 1.98 vs. 14.23 ± 1.61 mmHg, p < 0.001). E Representative confocal images of whole-mount retinas from WT and WldS+/+ saline and microbead injected eyes immunolabeled against RBPMS (grayscale). Scale bar = 25 μm. F When quantified, we did not detect a significant difference in RBPMS+ RGCs regardless of genotype or IOP condition (p = 0.389). Statistics: Student’s t-test (D). One-Way ANOVA Tukey’s Post hoc (F). Data = mean ± SEM

Full size image

We confirmed the expression of WldS transcripts in retinas of suspect WldS+/+, WldS+/−, and C57 WT mice following the protocol described by [27]. Briefly, we euthanized mice by cervical dislocation and quickly removed retinas. We then extracted total RNA based on manufacturer’s protocol (SV Total RNA Isolation System, Promega, Madison, WI). Next, we determined RNA concentration and purity (NanoDrop 8000, Thermo Scientific, Wilmington, DE). Afterward, we reverse-transcribed mRNA into cDNA (1st Strand cDNA Synthesis System, Origene, Rockville, MD) and amplified the cDNA (QuantStudio 3 Real Time PCR System, Applied Biosystems, Waltham, MA) using the PowerUp SYBR Green Master Mix (Applied Biosystem, Waltham, MA) and the following primers: WldS transcript 1: forward (PE9): 5′-CAC GAC TTG CTG GTG GAC AGA-3′ and reverse (PE4) 5′-GTC CTTGGC CAG CTC GAA CA-3′; WldS transcript 2: forward (PE9): 5′ CAC GAC TTG CTG GTG GAC AGA-3′ and reverse (PE6) 5′-TTT CCC ACG TAT CCA CTT CCA-3′. We used GAPDH as housekeeping gene; forward: 5′-TCC ATG ACA ACT TTG GCA TTG-3′ and reverse 5′-CAG TCT TCT GGG TGG CAG TGA-3′. WldS transcripts were distinguished by electrophoresis of the RT-PCR product (2% agarose, 2% EtBr) and confirmed (ChemiDoc MP Imaging System, Bio-Rad, Hercules, CA, Fig. 1B).

Intraocular pressure elevation

Prior to intraocular pressure (IOP) elevation, baseline IOP was measured on 2 separate days by rebound tonometry (Tono-Pen XL; Medtronic Solan, Waltham MA) in anesthetized (2.5% isoflurane) mice. IOP was elevated in anesthetized (2.5% isoflurane) mice by a single unilateral injection of 1.5 μL polystyrene microbeads (15 μm, Invitrogen, Carlsbad CA) into the anterior chamber. We injected sterile phosphate buffered saline (PBS) into the contralateral eye to serve as an internal control. We measured IOP in anesthetized (2.5% isoflurane) mice bi-weekly [14, 29, 40,41,42,43]. For all mice used in this study, a single microbead injection increased IOP ~ 30% compared to saline-injected eyes, and IOP remained elevated for the duration (4 weeks, Fig. 1C, D).

Retinal ganglion cell physiology

Mice were euthanized by cervical dislocation, and whole retinas were removed under long-wavelength illumination (630 nm, 800 μW/cm2, FND/FG, Ushio, Cypress, CA). To aid in the removal of vitreous membrane from the retinal surface, we incubated retinas in a solution containing collagenase (LS005273, Worthington Biochemical, Lakewood, NJ), hyaluronidase (LS002592, Worthington Biochemical, Lakewood, NJ), and carbogen-saturated Ames’ medium (US Biologic, Memphis, TN) for 10 mins on a rocker as described by [44]. Afterwards, retinas were rinsed within fresh Ames’ medium and placed into physiological chamber mounted on an upright microscope (BX50, Olympus, Center Valley, PA). Retinas were maintained in the dark at 32 °C (TC-344B; Warner Instruments), and constantly perfused (2 mL/min) with carbogen-saturated NaHCO3-buffered (22.6 mM) Ames’ medium plus 20 mM glucose (Osm 290, pH 7.4). For RGC intracellular filling and patch-clamp recordings, we used fire-polished borosilicate glass pipettes containing (in mM) 125 K-gluconate,10 KCl, 10 HEPES, 10 EGTA, 4 Mg-ATP, 1 Na-GTP, and 0.1 ALEXA 555 (Invitrogen, Carlsbad CA; Osm 285, pH 7.35). RGC light responses were evoked using full-field light flashes generated by a light-emitting diode (365 nm, 300 μW/cm2, 3-s duration; Roithner Lasertechnik) delivered through a shutter in the microscope condenser [29, 34].

Retinal immunohistochemistry and imaging

After electrophysiological recordings, we fixed retinas overnight in 4% paraformaldehyde and immunolabeled them with the following primary antibodies: non-phosphorylated neurofilament H (SMI-32,1:1000; BioLegend, San Diego, CA), choline acetyltransferase (ChAT, AB144P,1:100, Millipore, Burlington, MA), and s-opsin (abn1660,1:500, Millipore). In a subset of experiments, we immunolabeled whole-mount retinas against RNA-binding protein with multiple splicing (RBPMS, GTX118619, GeneTex, Irving, CA). Retinas were incubated with appropriate secondary antibodies (1:200; Jackson ImmunoResearch Laboratories, Inc., West Grove, PA) and mounted with Fluoromount G (Southern Biotech, Birmingham, AL). We imaged retinas using an Olympus FV-1000 inverted confocal microscope. We measured the density of RBPMS-positive RGCs by capturing four 0.0448 mm2 images from whole-mounted retinas along the midline of each retinal quadrant. After imaging, we counted the number of cells positive for RBPMS, and we calculated RGC density as RGCs/mm2.

Retinal ganglion cell dendritic morphology analysis

After imaging, micrographs of RGCs dendritic arbors were montaged and manually traced using Adobe Illustrator and Adobe Photoshop, respectively. We analyzed the skeletonized arbors by measuring the following parameters: dendritic field area, total dendritic length, dendritic intersections, and branch points. Dendritic field area was defined by outlining the distal dendritic tips and calculating the area of the resultant polygon. Total dendritic length was defined as the summation of all dendrites. The number of dendritic intersections was determined by Sholl analysis (ImageJ, 1.53c). Dendritic branch points were analyzed manually by counting the number of dendritic bifurcations [34].

Anterograde axonal transport

We anesthetized mice with 2.5% isoflurane and injected 1.5 μL of 1 μg/ μL solution of cholera toxin subunit B (CTB) conjugated to Alexa Fluor 488 (Molecular Probes, Eugene, OR) into the vitreous of both eyes. Forty-eight hours later we perfused mice transcardially with PBS followed by 4% paraformaldehyde. Brains were removed and cryoprotected in 20% sucrose and coronal midbrain sections (50 μm) cut on a freezing sliding microtome. We imaged alternating sections of the superior colliculus (SC) using a Nikon Ti Eclipse microscope (Nikon Instruments Inc., Melville, NY) and quantified the intensity of CTB signal (intact transport) using a custom ImagePro macro (Media Cybernetics, Bethesda, MD) as previously described [4]. We confirmed CTB uptake by RGCs in the retinas using an Olympus FV-1000 inverted confocal microscope.

Behavioral spatial acuity

We placed unrestrained mice on an elevated platform located in the center of an arena surrounded by four adjoining computer monitors (OptoMotry; Cerebral Mechanics Inc., Canada [45]). We measured spatial frequency thresholds by assessing the optomotor response to drifting sinusoidal gratings at 100% contrast. Grating spatial frequency was systemically adjusted based on the optomotor response noted by naïve experimenters. Mice were tested 3 times before microbead injection (baseline) and twice a week for 4 weeks after injection [29, 43]. We analyzed spatial acuity data by calculating the difference in spatial acuity (Δ spatial acuity) of microbead and saline injected eyes.

Statistical analysis

All data are presented as mean ± standard error of the mean (SEM). Statistics were performed using Graphpad 8.0 (Graphpad Software, San Diego, CA). We first assessed data for outliers using Grubb’s test. Then, we determined whether data best fit normal or lognormal distributions. We used the Shapiro-Wilk test for normality. If data best fit a lognormal distribution, datasets were transformed by computing the logarithm (base 10) [34, 46]. For normal or transformed data, we performed parametric statistics. If datasets fit undetermined distributions or mix distributions (normal and lognormal), we performed non-parametric statistics. Statistical significance was defined as p ≤ 0.05.

Results

Neuroprotection by Wld S is dependent on RGC type during glaucoma

We verified the genotype of each WldS mouse by measuring the number of transgene copies relative to C57Bl/6 (WT) mice. These formed a continuum ranging from null (WldS−/−, corresponding to WT) to 2.5 and above (Fig. 1A), which we defined as WldS+/+ following previous studies [27, 38]. For a subset of mice, we compared WldS+/+, WldS+/−, and WT designation in whole retina by probing for both WldS transcripts (318 bp and 478 bp) compared to GAPDH (71 bp; Fig. 1B). While naïve intraocular pressure (IOP) did not differ between WT left and right eyes nor between WldS+/+ left and right eyes (p ≥ 0.17), we detected a modest difference in IOP between WT and WldS+/+ naïve eyes (14.64 ± 0.13 vs. 14.1 ± 0.13 mmHg, respectively, p = 0.006). This small difference persisted in eyes receiving a saline injection as internal control (Fig. 1C) but was not significant when averaged over the one-month experimental period (p = 0.79, Fig. 1D). In contrast, an injection of microbeads into the anterior chamber following our established protocol elevated IOP in both WT (+ 32.6%, 19.64 ± 1.82 vs. 14.81 ± 1.5 mmHg) and WldS+/+ (+ 36.8%, 19.48 ± 1.97 vs. 14.23 ± 1.61 mmHg) compared to saline-injected eyes (p < 0.001, Fig. 1D). Next, we determined if genotype or IOP elevation influenced RGC density by immunolabeling whole-mount retinas against RNA-binding protein with multiple splicing (RBPMS, [47], Fig. 1E). When quantified, we did not detect a significant difference in RBPMS+ RGCs regardless of genotype or IOP condition (WT saline: 3662.15 ± 142.12, WT microbead 3879.73 ± 155.85, WldS+/+ saline: 4083.55 ± 154.86, WldS+/+ microbead: 3845.82 ± 207.12 RBPMS+ RGCs/mm2, p = 0.389, Fig. 1F).

We targeted α-Sustained RGCs of the same type between WT and WldS+/+ retinas based on large cell body, dendritic stratification within the inner plexiform layer (IPL), immunoreactivity for non-phosphorylated neurofilament H (SMI-32), and response to light following previous work [29, 32,33,34, 48]. Both WT and WldS+/+ αON-sustained (αON-S) RGCs expressed SMI-32, with dendrites ramifying proximal to choline acetyltransferase (ChAT)-positive amacrine cell processes defining the “ON” sublamina of the IPL (Fig. 2A). These cells maintained a low spontaneous firing rate in darkness and produced a robust sustained train of action potentials in response to light, which appeared more robust for WldS+/+ αON-S RGCs (Fig. 2B). When quantified, we found WldS+/+ αON-S RGCs produced significantly greater responses to light as measured by the mean response (+ 68%, p < 0.001), the integrated response (+ 53%, p = 0.008), and the peak response to light compared to WT counterparts (+ 50%, p < 0.001; Fig. 2C). Even so, the resting membrane potential (RMP) of WT and WldS+/+ control αON-S RGCs was similar (p = 0.47, Fig. 2D), suggesting these differences were not due to a higher degree of resting depolarization. When quantified by Sholl analysis, the dendritic morphology of WT and WldS+/+ control αON-S RGCs were similar (p ≥ 0.52) as were the number of branch points (p = 0.23), field area (p = 0.79), and total dendrite length (p = 0.89; Fig. 2E, F). However, αON-S RGC somas from WldS+/+ control retinas were significantly larger than WT counterparts (+ 17%, p = 0.01, Fig. 2F).

Fig. 2
figure 2

Morphological and Physiological Characterization of αON-Sustained RGCs in WT and WldS+/+ Control Retinas. A Example en face (top) and orthogonal (bottom) images of dye-filled (AL555, cyan) αON-S RGCs from WT and WldS+/+ Ctrl animals. αON-S RGCs were identified by positive immunolabeling against SMI-32 (magenta) and dendritic projections within the ON sublamina of the IPL identified by ChAT (red) immunolabeling. B Average light-evoked (3 s 365 nm, horizontal dashed line) spike rate histograms (300 ms bin width) of αON-S RGCs from WT and WldS+/+Ctrl eyes. C WldS+/+ Ctrl αON-S RGC light responses are more robust than WTs (*, p ≤ 0.008), D but RMP of WT and WldS+/+ Ctrl αON-S RGCs is similar (p = 0.47). E Sholl analysis of WT and WldS+/+ Ctrl αON-S RGCs. F Dendritic branch points, field area, and length are similar between WT and WldS+/+ Ctrl αON-S RGCs (p ≥ 0.23), but WldS+/+ somas are significantly larger (p = 0.01). WT Ctrl group contained cells from WT saline (n = 59) and WT naïve (n = 14) eyes. WldS+/+ Ctrl group consisted of cells from WldS+/+ saline-injected (n = 18) and naïve (n = 15) eyes. Statistics: Mann-Whitney tests ( C, D, F, Field Area, Soma Size); Two-Way Repeated Measures ANOVA, Bonferroni post hoc tests (E), Student’s t-tests (F, branch points and length). Scale bars = 40 μm. Arrows indicate RGC axons. Data = mean ± SEM

Full size image

Previously we found that 1 month of IOP elevation reduces both dendritic complexity and RGC light responses, while 2 weeks enhances RGC excitability [29, 34]. Consistent with these results, 1 month of IOP elevation significantly decreased dendritic complexity of WT αON-S cells as measured by Sholl analysis (p ≤ 0.05, Fig. 3A, B). The number of dendritic branch points also significantly decreased (− 24%, p < 0.001), while dendritic field area and cross-sectional soma area did not change (p ≥ 0.14, Fig. 3C). In contrast, elevated IOP had little discernable effect on the complexity of αON-S RGCs from WldS+/+ retina compared to control, again as measured by Sholl analysis (p ≥ 0.37; Fig. 3D, E). Similarly, WldS+/+ protected dendritic branch points (p = 0.51), field area (p = 0.30), and soma area (p = 0.79, Fig. 3F).

Fig. 3
figure 3

WldS+/+ Prevents Dendritic Pruning of αON-S RGCs During IOP Elevation. A Reconstructed dendritic arbors of WT αON-S RGCs from Ctrl and microbead-injected eyes. B Sholl analysis shows IOP elevation reduced the number of dendritic intersections between 90 and 100 μm from soma (p ≤ 0.05) of WT αON-S RGCs. C Similarly, IOP elevation significantly decreased the number of branching points in WT αON-S RGC dendrites (p < 0.001). For WT αON-S RGCs, IOP elevation did not significantly affect dendritic field area (p = 0.14) or soma area (p = 0.25). D Reconstructed dendritic arbors of WldS+/+ αON-S RGCs from Ctrl and microbead-injected eyes. E Sholl analysis shows IOP elevation does not significantly affect the number of dendritic crossings in WldS+/+ αON-S RGC (p ≥ 0.37). F Dendritic branching (p = 0.51), field area (p = 0.30), and soma area (p = 0.79) of WldS+/+ αON-S RGCs remain intact during IOP elevation. Statistics: Two-way repeated measures ANOVA, Bonferroni post hoc (B, E); Student’s t-test (C, F). Scale bars = 50 μm. Data presented as mean ± SEM

Full size image

As before [29], a month of elevated IOP reduced the response of αON-S RGCs from WT control retinas (Fig. 4A), including the mean (− 23%), peak (− 30%), and integrated (− 31%) response to light (p ≤ 0.002, Fig. 4B). The RMP was more depolarized (+ 5%) as well (p = 0.001, Fig. 4C). In contrast IOP did not influence the response of WldS+/+ αON-S RGCs (Fig. 4D), as the mean, peak, and integrated response did not change relative to control (p ≥ 0.55, Fig. 4E). Unlike WT αON-S RGCs, RMP did not change with IOP elevation (p = 0.24, Fig. 4F). Thus, WldS+/+ protects αON-S RGCs against stress-induced pruning of dendritic arbors and reductions in response that would ensue.

Fig. 4
figure 4

WldS+/+ Protects αON-S RGC Light Responses and RMP During Glaucoma. A Mean light-evoked spike rate histograms (300 ms bin width) of αON-S RGCs from Ctrl and microbead eyes of WT mice. B IOP elevation reduced light-evoked average spike rate (− 23% 40.8 ± 9 vs. 52.7 ± 5 spikes/s, p = 0.002), peak spike rate (− 30%, 58.3 ± 11.5 vs. 83.1 ± 6.5 spikes/s, p = 0.0003), integrated response (− 31%, 111.7 ± 26.5 vs. 162 ± 15.6 spikes, p = 0.0001), and C depolarized RMP (− 58.3 ± 1.2 vs. -61.2 ± 0.5 mV, p = 0.02). D Mean light-driven spike rate histograms of αON-S RGCs from WldS+/+ Ctrl and microbead eyes. E IOP elevation does not affect light-evoked mean firing rate (p = 0.55), peak spike rate (p = 0.84), integrated response (p = 0.72), or F RMP (p = 0.24) of WldS+/+ αON-S RGCs. Statistics: Mann-Whitney test (B, C, F); Student’s t-test (E). Data = mean ± SEM

Full size image

Next, we examined the influence of WldS+/+ on the morphology and physiology of αOFF-S RGCs with IOP elevation. Following previous work, we identified αOFF-S RGCs in WT and WldS+/+ retinas based on dendritic projections within the IPL, immunoreactivity to SMI-32, and their responses to light [29, 32,33,34]. In WT and WldS+/+ retinas, αOFF-S RGCs modestly express SMI-32 and have large somas with large, complex dendritic fields that project within the distal OFF sublamina of the IPL near ChAT-positive amacrine cell processes (Fig. 5A). These RGCs produced a high rate of spontaneous activity in darkness, which was inhibited by light onset, and generated a sustained train of action potentials following light offset (Fig. 5B). Like WldS+/+ αON-S RGCs (Fig. 2B), the analogous response of WldS+/+ αOFF-S RGCs was more robust than WT (Fig. 5B), with a significantly higher peak response (+ 28%, p = 0.03; Fig. 5C). As with αON-S RGCs, WldS+/+ did not affect the RMP of αOFF-S cells (p = 0.17, Fig. 5D). Unlike αON-S RGCs, WldS+/+ moderately reduced dendritic complexity of αOFF-S RGCs, with significantly less dendritic branch points (− 19%, p = 0.005, Fig. 5E, F). However, dendritic field area, total dendrite length, and soma area did not differ compared to WT (p ≥ 0.14, Fig. 5F).

Fig. 5
figure 5

Morphological and Physiological Comparison of αOFF-Sustained RGCs from WT and WldS+/+ Control Retinas. A Representative forward (top) and orthogonal (bottom) projection micrographs of dye-filled (AL555, cyan) αOFF-S RGCs from Ctrl eyes of WT and WldS+/+ animals. αOFF-S RGCs were identified by modest immunolabeling against SMI-32 (magenta) and dendritic projections within the distal OFF sublamina of the IPL identified by ChAT (red) immunoreactivity. B Mean light-driven spike rate histograms of αOFF-S RGCs from WT and WldS+/+ retinas from Ctrl eyes. C αOFF-S RGC light-evoked mean (p = 0.08), integrated (p = 0.07), and peak (p = 0.03) responses are enhanced by WldS+/+ versus WT Ctrl cells. D RMP is similar for WT and WldS+/+ Ctrl αOFF-S RGCs (p = 0.17). E Sholl analysis of WT and WldS+/+ Ctrl αOFF-S RGC dendrites (p ≥ 0.09). F The average number of dendritic branch points of αOFF-S RGCs is reduced by WldS+/+ (p = 0.005), but dendritic field area (p = 0.52), dendritic length (p = 0.14), and soma area (p = 0.50) are similar to WTs. WT Ctrl group consisted of cells from WT saline (n = 38) and WT naïve (n = 10) eyes. WldS+/+ Ctrl group contained cells from WldS+/+ saline-injected (n = 12) and naïve (n = 8) eyes. Statistics: Mann-Whitney test (C); Student’s t-test (D, F); Two-Way Repeated Measures ANOVA, Bonferroni post hoc tests (E). Scale bars = 40 μm. Data are expressed as mean ± SEM

Full size image

Based on Sholl analysis, a month of IOP elevation did not influence the number of dendritic intersections of WT αOFF-S RGCs (p ≥ 0.79, Fig. 6B). Even so, the number of branch points in these cells reduced by 23% compared to control cells (p = 0.003), even as dendritic field area and cross-sectional soma area did not change (p ≥ 0.20, Fig. 6C). Similarly, IOP elevation did not appear to alter dendritic morphology of WldS+/+ αOFF-S RGCs (Fig. 6D). Based on Sholl analysis, IOP elevation did not significantly affect the number of dendritic crossings (p > 0.99). However, as with WT, WldS+/+ αOFF-S RGCs demonstrated reduced branch points (− 17%, p = 0.03), but no change in dendritic field area or soma area (p ≥ 0.62; Fig. 6E, F). Thus, unlike αON-S RGCs (Fig. 3D-F), WldS+/+ does not prevent loss of dendritic branch points in αOFF-S RGCs following IOP elevation.

Fig. 6
figure 6

WldS+/+ Does Not Prevent IOP-Induced Dendritic Degeneration in αOFF-S RGCs A Example tracings of WT αOFF-S RGC dendritic arbors from Ctrl and microbead-injected eyes. B Sholl analysis shows the number of dendritic crossings of WT αOFF-S RGC is unaffected by IOP elevation (p ≥ 0.79). C IOP elevation significantly reduced the number of dendritic branching points in WT αOFF-S RGC (43 ± 1.9 vs. 56.4 ± 2.3 branch points, p = 0.003), but dendritic field area (p = 0.20) and soma area (p = 0.63) remain intact. D Representative reconstructions of WldS+/+ αOFF-S RGC dendritic arbors from Ctrl and microbead-injected eyes. E IOP elevation does not affect the number of dendritic intersections in WldS+/+ αOFF-S RGCs (p > 0.99). F IOP elevation reduced the number of dendritic branching points in WldS+/+ αOFF-S RGCs (38 ± 2.2 vs. 46 ± 2.4 branch points, p = 0.03), but elevating IOP did not affect dendritic field area (p = 0.62) or soma area (p = 0.90). Statistics: Two-Way Repeated Measures ANOVA, Bonferroni post hoc (B, E); Student’s t-test (C, F); Mann-Whitney test (F, soma area). Scale bars = 50 μm. Data = mean ± SEM

Full size image

With a month of elevated IOP, αOFF-S RGCs in WT retina demonstrated less overall activity before, during and after light presentation (Fig. 7A), consistent with our previous work [29]. As before, the integrated response to light offset reduced significantly (− 20%, p = 0.011), while the mean and peak response to offset did not change (p ≥ 0.12, Fig. 7B). The RMP did not change with elevated IOP, in contrast to the more depolarized RMP of WT αON-S RGCs (p = 0.55, Fig. 4C). In contrast to αON-S RGCs, elevated IOP decreased the light response of αOFF-S RGCs from WldS+/+ retinas (Fig. 7D), reducing the peak firing rate by 42% (p = 0.01, Fig. 7E). Thus, WldS+/+ is insufficient for the protection of mechanisms driving light-evoked responses of αOFF-S RGCs following a month of IOP elevation Table 1.

Fig. 7
figure 7

WldS+/+ Does Not Protect Light-Evoked Responses of αOFF-S RGCs During IOP Elevation. A Average light-driven spike rate histograms (300 ms bin width) of WT αOFF-S RGCs from Ctrl and microbead eyes. B IOP elevation significantly reduced light-evoked integrated response of WT αOFF-S RGCs (− 20%, − 66.1 ± 13.5 vs. 82.8 ± 9 spikes, p = 0.011), C but RMP of αOFF-S RGCs from Ctrl and microbead-injected eyes is similar (p = 0.55). D Mean light-evoked spike rate histograms of WldS+/+ αOFF-S RGCs from Ctrl and microbead eyes. E IOP elevation significantly decreased the peak response to light offset in WldS+/+ αOFF-S RGCs (− 42%, 40 ± 5.7 vs. 69 ± 7.5 spikes/s, p = 0.01), and modestly reduced the mean (p = 0.12) and integrated (p = 0.09) response to light offset. F RMP is similar for WldS+/+ αOFF-S RGCs from Ctrl and microbead-injected eyes (p = 0.13). Statistics: Student’s t-test (B, C, E, F); Mann-Whitney test (E, peak spike rate). Data = mean ± SEM

Full size image
Table 1 Descriptive Statistics for Dendritic Morphological and Physiological Measurements of αON- and αOFF-S RGCs from Control and Microbead Eyes of WT and WldS+/+ Animals. Values are expressed as mean ± SEM
Full size table

Age-dependent influence of Wld S+/+ on axon transport and spatial acuity

The protective capacity of WldS depends on age, even though WldS expression does not change with age [20, 49, 50]. Here, we tested how aging impacts WldS+/+ protection of anterograde axon transport to the superior colliculus (SC) and spatial frequency threshold (i.e., spatial acuity) in the context of glaucoma. We first established a basis for testing the influence of aging on WldS+/+ protective capacity in young mice (aged 6–8 weeks). A month of IOP elevation significantly degraded anterograde transport of cholera toxin subunit B (CTB) to the SC in WT mice (Fig. 8A), while transport from WldS+/+ eyes remained largely intact (Fig. 8B). When quantified, elevated IOP reduced the percentage of intact transport to the SC by 36% compared to control in WT animals (p < 0.001, Fig. 8C), a significant difference compared to WldS+/+ (p = 0.007, Fig. 8C). For WT mice, spatial acuity significantly diminished over the experimental period (R2 = 0.80, p = 0.002), while acuity for WldS+/+ did not change (R2 = 0.18, p = 0.28) and remained better than WT over the course of IOP elevation (p ≤ 0.05, Fig. 8D). Our results indicate WldS+/+ prevents significant loss of axon transport and spatial acuity following 1 month of IOP elevation in young mice.

Fig. 8
figure 8

WldS+/+ Protects Anterograde Axon Transport and Spatial Acuity Following IOP Elevation in Young Mice. A, B Representative coronal sections (top) of the superior colliculus (SC) following intravitreal injection of CTB-488 (green) into saline- and microbead-injected eyes of WT (A) and WldS+/+ (B) mice. Transport deficits indicated by dashed lines. Retinotopic maps (bottom) reconstructed from serial sections of SC with optic disc indicated (white circles). Density of the transported CTB signal ranges from 0% (blue) to 50% (green) to 100% (red). Medial (M) and rostral (R) orientations are indicated. Scale bar = 500 μm. C Quantification of the intact anterograde transport (%) to the SC from saline- and microbead-injected eyes of WT and WldS+/+ mice. IOP elevation significantly decreased transport in WT mice (p < 0.001) but transport is preserved in WldS+/+ animals (p > 0.99) and significantly greater than WT microbead eyes (p = 0.007). D Difference in spatial acuity threshold (cycles/degree, c/d) between saline and microbead eyes (microbead-control, Δ) from WT and WldS+/+ mice. Spatial acuity linearly diminishes over time in WT (R2 = 0.80, p = 0.002) but remains stable in WldS+/+ mice (R2 = 0.18, p = 0.283). Δ spatial acuity is significantly greater in WldS+/+ versus WT mice (*, p ≤ 0.05). Statistics: Kruskal-Wallis test, Dunn’s post hoc (C), Linear mixed model (D), Linear regression (D). Data = mean ± SEM

Full size image

Next, we tested the influence of age on the protective capacity of WldS on anterograde axon transport and spatial acuity following IOP elevation. We again elevated IOP by unilateral microbead injection but using aged (1 year old) WT and WldS+/+ animals (Fig. 9A). A single injection of microbeads similarly increased IOP in both WT (+ 29.6%, 19.45 ± 1.52 vs. 15.01 ± 1.28 mmHg) and WldS eyes (+ 29.76, 19.23 ± 1.67 vs. 14.82 ± 1.37 mmHg). Four weeks of IOP elevation reduced intact anterograde axon transport in aged WT mice slightly more than it did for young, 41% vs. 36% (p = 0.74; Fig. 9B, D). Interestingly, aged WldS+/+ animals also demonstrated degraded transport with elevated IOP compared to control eyes (− 15%; p ≤ 0.03, Fig. 9C,D), though still retaining significantly more intact transport compared to either young or aged WT eyes challenged by elevated IOP (p ≤ 0.002). Aging also influenced spatial acuity. Elevated IOP induced a decrease not only in WT (p = 0.0064), but also in WldS+/+ animals (p = 0.0058, Fig. 9E), which significantly exceeded the rate of reduction in younger WldS+/+ animals (p < 0.001). The rate of degradation in acuity was similar between aged WT and WldS+/+ mice (p = 0.35). Thus, aging reduces the neuroprotective benefit of WldS+/+ not only on axonal transport but also throughout the optic projection.

Fig. 9
figure 9

Aging Reduces the Neuroprotective Capacity of WldS+/+. A IOP of aged WT (circles) and WldS+/+ (squares) mice before (day 0) and after (days ≥1) a single unilateral injection of microbeads (blue symbols) or equivalent volume of saline (beige symbols). Microbeads elevated IOP by 29.5% in aged WT (19.45 ± 1.5 vs. 15.01 ± 1.3 mmHg, p < 0.001) and 29.7% in WldS+/+ eyes compared to saline-injected eyes (19.23 ± 1.6 vs. 14.82 ± 1.3 mmHg, p < 0.001). B, C Example coronal sections (top) of the SC after intravitreal injection of CTB-488 (green) into saline- and microbead eyes of aged WT (B) and WldS+/+ mice (C). Transport deficits are indicated by dashed lines. Retinotopic maps (bottom) recreated from SC sections with optic disc indicated by white filled circles. Scale bar = 500 μm. D Quantification of anterograde axon transport to the SC. Data from young (1.5–2.5 months old) animals are replotted from Fig. 8C for comparison. We did not detect a difference in the percent of intact transport to the SCs corresponding to saline eyes of young vs. aged WT and WldS+/+ animals (p = 0.60). For aged animals, IOP elevation decreased transport in WT (p < 0.001) and WldS+/+ mice (p = 0.03) when compared to respective saline eyes. Axon transport of aged WldS+/+ microbead-injected eyes was greater than that observed in SC of aged WT microbead eyes (p = 0.001). E Quantification of Δ spatial acuity. Data for young animals replotted from Fig. 8D for comparison. Spatial acuity linearly diminishes over the duration of IOP elevation in aged WT (R2 = 0.74, p = 0.0064) and WldS+/+ mice (R2 = 0.81, p = 0.0058). Statistics: Student’s t-test (A), Kruskal-Wallis test, Dunn’s post hoc (D) Linear mixed model (E), Linear regression (E). Multiple comparison significance indicators: * Young WT vs. Young WldS+/+; # Aged WT vs. Young WldS+/+; ^ Young WldS+/+ vs. Aged WldS+/+ (E). Data presented = mean ± SEM

Full size image

Discussion

Extent of neuroprotection by Wld S is dependent on RGC type during glaucoma

Our first finding is neuroprotection by WldS+/+ during glaucoma appears to depend on RGC type. Our results suggest WldS+/+ confers neuroprotection in αON-S RGCs but not αOFF-S RGCs. Following 1 month of IOP elevation by microbead occlusion, WT αON-S RGC dendritic crossings (Sholl analysis) and branch points decreased while WldS+/+ αON-S RGC dendritic arbors remained intact (Fig. 3). This result suggests WldS+/+ not only protects RGC somas and axons during glaucoma [22], but extends to dendrites of RGCs [25]. Regarding RGC physiology, we find 1 month of elevated IOP depolarizes RMP and reduces the mean, peak, and integrated response to light of WT αON-S RGCs (Fig. 4A-C). While short term elevations in IOP increase RGC light responses and excitability, prolonged IOP elevation diminishes both [29, 51]. For WldS+/+ αON-S RGCs, RMP and light response properties are unaffected by IOP elevation (Fig. 4D-F). Our finding substantiates evidence that WldS+/+ preserves the RGC pattern electroretinogram response during DBA2/J glaucoma [22]. Furthermore, our data suggests WldS+/+ either indirectly or directly protects mechanisms that generate RMP and voltage-gated responses of αON-S RGCs [29, 51].

Although WldS+/+ provides extensive protection during glaucoma for dendritic arbors and mechanisms that drive RMP and the light-evoked response of αON-S RGCs, neuroprotection by WldS+/+ is not robustly afforded to αOFF-S RGCs. We find IOP elevation significantly reduces the number of dendritic branch points of αOFF-S RGCs from WT and WldS+/+ eyes (Fig. 6C, F). Moreover, we find 1 month of IOP elevation decreases the integrated light-evoked response of WT αOFF-S RGCs (Fig. 7B) and the peak response of WldS+/+ αOFF-S RGCs (Fig. 7E).

Based on these data, WldS+/+ appears to protect αON-S RGCs but not αOFF-S cells. In support for this argument, evidence suggests OFF RGCs are more vulnerable to stress caused by IOP elevation [31,32,33]. Although this is a tantalizing conclusion, qualitative analysis reveals WldS protein is expressed in the nuclei of most cells in the RGC layer of WldS+/+ mice, indicating RGCs should be equally protected from stress by WldS [52]. However, the magnitude of neuroprotection following acute axonal injury is correlated with WldS expression levels in α- and γ-motor neuron neurons [53]. Thus, the possibility exists that WldS expression is dependent on RGC type.

The discrepancy between the extent of neuroprotection provided by WldS to αON- and αOFF-S RGCs is further highlighted by the fact the duration of WldS neuroprotection is dependent on glaucoma model. WldS neuroprotection lasts months in chronic DBA2/J glaucoma but is restricted to 2–4 weeks following IOP elevation by photocoagulation of the trabecular meshwork [22, 52]. Therefore, it might be the case that both αON- and αOFF-S RGC respond to WldS during stress, but the duration of protection by WldS is more transient for αOFF-S RGCs.

The duration of neuroprotection by WldS may be shorter for αOFF-S RGCs due to their intrinsic physiological properties. αOFF-S RGCs intrinsically generate greater spontaneous activity compared to αON-S RGCs (Figs. 2 and 5B). Thus, αOFF-S RGCs may be more sensitive to stress due to the metabolic burden of persistent action potential generation and maintaining RMP. Cell excitability determines the magnitude of neuroprotection by WldS after nerve sectioning. “Enhancing axon excitability by high-frequency stimulation or blunting excitability by blocking voltage-gated sodium channels with tetrodotoxin both accelerate axon degeneration following axotomy of neuromuscular junctions in WldS mice” [54]. Considering these findings, αOFF-S RGCs may be more vulnerable to stress due to their intrinsically high spontaneous activity, which is further enhanced during early progression of glaucoma [29, 34].

Neuroprotective capacity of Wld S is dependent on age during glaucoma

Our second key finding is neuroprotection by WldS on anterograde axonal transport and spatial acuity during glaucoma is dependent on age. As we have previously shown [29, 43], IOP elevation significantly reduces anterograde axonal transport and spatial acuity in young adult WT mice (Fig. 8). Both anterograde axon transport and spatial acuity are protected during glaucoma in young adult WldS+/+ mice (Fig. 8). Our data provide additional confirmatory evidence that WldS+/+ provides neuroprotection for axon transport during glaucoma [22,23,24]. Furthermore, our results indicate if axonopathy caused by IOP elevation is reduced, as is the case for young adult WldS+/+ animals (Fig. 8C), degradation of spatial acuity slows (Fig. 8D).

Although we find anterograde axonal transport and spatial acuity are preserved in young adult WldS+/+ animals, neuroprotection by WldS is reduced in aged, one-year old, animals following IOP elevation (Fig. 9). Even so, WldS still offers some protection on anterograde axon transport in aged mice relative to age-matched WTs (Fig. 9B-D). However, IOP elevation significantly reduces spatial acuity similarly for aged WT and WldS+/+ mice (Fig. 9E).

Our finding that neuroprotection by WldS+/+ depends on age is surprising because axon integrity and RGC pattern electroretinogram responses are preserved in 10 to 12 month old DBA2/J.WldS mice [22]. However, when the age range is narrowed to include only 12 month old DBA2/J.WldS mice, optic nerves possess more degenerating axons compared to age-matched DBA2/J.WldS mice supplemented with nicotinamide, indicating neuroprotection by WldS on axonopathy is reduced by advanced age in chronic DBA2/J.WldS glaucoma [24]. These data suggest neuroprotection by WldS falls off precipitously between 10 to 12 months of age in DBA2/J glaucoma. Following an inducible injury, the neuroprotective capacity of WldS is also age dependent, even though WldS expression levels do not change with age [20, 49, 50]. Taken together, the degree of neuroprotection by WldS appears to be highly sensitive to age, limiting the utility of targeting only WldS to block the progression of age-related neurodegenerative diseases [24, 55, 56].

Conclusions

We have demonstrated that WldS+/+ does not equally protect all RGC types even in young adult animals during glaucoma and neuroprotection by WldS+/+ on axonopathy is dependent on age. We find αOFF-S RGCs from WldS+/+ retinas are similarly susceptible to dendritic degeneration and degradation of RGC signaling during glaucoma as their WT counterparts. While WldS+/+ protects αON-S RGC dendrites and light-evoked activity. The influence of WldS+/+ on anterograde axonal transport and spatial acuity is significantly blunted in aged animals. Although WldS+/+ confers significant neuroprotection of anterograde axon transport and spatial acuity during axonopathy in otherwise uncompromised systems, this protection is limited at the level of different RGC types and is age dependent.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

RGC:

Retinal ganglion cells

Wld S :

Slow Wallerian degeneration

IOP:

Intraocular pressure

WT:

Wild type

RBPMS:

RNA-binding protein with multiple splicing

RMP:

Resting membrane potential

CTB:

Cholera toxin subunit B

IPL:

Inner plexiform layer

ChAT:

Choline acetyltransferase

SC:

Superior colliculus

References

  1. Coleman M. Axon degeneration mechanisms: commonality amid diversity. Nat Rev Neurosci. 2005;6(11):889–98. https://doi.org/10.1038/nrn1788.

    Article  CAS  PubMed  Google Scholar 

  2. Morfini GA, Burns M, Binder LI, Kanaan NM, LaPointe N, Bosco DA, et al. Axonal transport defects in neurodegenerative diseases. J Neurosci. 2009;29(41):12776–86. https://doi.org/10.1523/JNEUROSCI.3463-09.2009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Saxena S, Caroni P. Mechanisms of axon degeneration: from development to disease. Prog Neurobiol. 2007;83(3):174–91. https://doi.org/10.1016/j.pneurobio.2007.07.007.

    Article  CAS  PubMed  Google Scholar 

  4. Crish SD, Sappington RM, Inman DM, Horner PJ, Calkins DJ. Distal axonopathy with structural persistence in glaucomatous neurodegeneration. Proc Natl Acad Sci U S A. 2010;107(11):5196–201. https://doi.org/10.1073/pnas.0913141107.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Calkins DJ. Critical pathogenic events underlying progression of neurodegeneration in glaucoma. Prog Retin Eye Res. 2012;31(6):702–19. https://doi.org/10.1016/j.preteyeres.2012.07.001.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Tham YC, Li X, Wong TY, Quigley HA, Aung T, Cheng CY. Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. Ophthalmology. 2014;121(11):2081–90. https://doi.org/10.1016/j.ophtha.2014.05.013.

    Article  PubMed  Google Scholar 

  7. Burgoyne CF. A biomechanical paradigm for axonal insult within the optic nerve head in aging and glaucoma. Exp Eye Res. 2011;93(2):120–32. https://doi.org/10.1016/j.exer.2010.09.005.

    Article  CAS  PubMed  Google Scholar 

  8. Mafwiri M, Bowman RJ, Wood M, Kabiru J. Primary open-angle glaucoma presentation at a tertiary unit in Africa: intraocular pressure levels and visual status. Ophthalmic Epidemiol. 2005;12(5):299–302. https://doi.org/10.1080/09286580500180572.

    Article  CAS  PubMed  Google Scholar 

  9. Leske MC, Heijl A, Hussein M, Bengtsson B, Hyman L, Komaroff E. Factors for glaucoma progression and the effect of treatment: the early manifest glaucoma trial. Arch Ophthalmol. 2003;121(1):48–56. https://doi.org/10.1001/archopht.121.1.48.

    Article  PubMed  Google Scholar 

  10. Wareham LK, Risner ML, Calkins DJ. Protect, repair, and regenerate: towards restoring vision in Glaucoma. Curr Ophthalmol Rep. 2020;8(4):301–10. https://doi.org/10.1007/s40135-020-00259-5.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Ferri A, Sanes JR, Coleman MP, Cunningham JM, Kato AC. Inhibiting axon degeneration and synapse loss attenuates apoptosis and disease progression in a mouse model of motoneuron disease. Curr Biol. 2003;13(8):669–73. https://doi.org/10.1016/S0960-9822(03)00206-9.

    Article  CAS  PubMed  Google Scholar 

  12. Her LS, Goldstein LS. Enhanced sensitivity of striatal neurons to axonal transport defects induced by mutant huntingtin. J Neurosci. 2008;28(50):13662–72. https://doi.org/10.1523/JNEUROSCI.4144-08.2008.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Howell GR, Libby RT, John SW. Mouse genetic models: an ideal system for understanding glaucomatous neurodegeneration and neuroprotection. Prog Brain Res. 2008;173:303–21. https://doi.org/10.1016/S0079-6123(08)01122-9.

    Article  PubMed  Google Scholar 

  14. Calkins DJ, Lambert WS, Formichella CR, McLaughlin WM, Sappington RM. The microbead occlusion model of ocular hypertension in mice. Methods Mol Biol. 1695;2018:23–39.

    Google Scholar 

  15. Dapper JD, Crish SD, Pang IH, Calkins DJ. Proximal inhibition of p38 MAPK stress signaling prevents distal axonopathy. Neurobiol Dis. 2013;59:26–37. https://doi.org/10.1016/j.nbd.2013.07.001.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Lambert WS, Pasini S, Collyer JW, Formichella CR, Ghose P, Carlson BJ, et al. Of mice and monkeys: neuroprotective efficacy of the p38 inhibitor BIRB 796 depends on model duration in experimental Glaucoma. Sci Rep. 2020;10(1):8535. https://doi.org/10.1038/s41598-020-65374-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Harder JM, Guymer C, Wood JPM, Daskalaki E, Chidlow G, Zhang C, et al. Disturbed glucose and pyruvate metabolism in glaucoma with neuroprotection by pyruvate or rapamycin. Proc Natl Acad Sci U S A. 2020;117(52):33619–27. https://doi.org/10.1073/pnas.2014213117.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Coleman MP, Freeman MR. Wallerian degeneration, wld(s), and nmnat. Annu Rev Neurosci. 2010;33(1):245–67. https://doi.org/10.1146/annurev-neuro-060909-153248.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Wright AK, Wishart TM, Ingham CA, Gillingwater TH. Synaptic protection in the brain of WldS mice occurs independently of age but is sensitive to gene-dose. PLoS One. 2010;5(11):e15108. https://doi.org/10.1371/journal.pone.0015108.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Perry VH, Brown MC, Tsao JW. The effectiveness of the gene which slows the rate of Wallerian degeneration in C57BL/Ola mice declines with age. Eur J Neurosci. 1992;4(10):1000–2. https://doi.org/10.1111/j.1460-9568.1992.tb00126.x.

    Article  CAS  PubMed  Google Scholar 

  21. Porciatti V, Saleh M, Nagaraju M. The pattern electroretinogram as a tool to monitor progressive retinal ganglion cell dysfunction in the DBA/2J mouse model of glaucoma. Invest Ophthalmol Vis Sci. 2007;48(2):745–51. https://doi.org/10.1167/iovs.06-0733.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Howell GR, Libby RT, Jakobs TC, Smith RS, Phalan FC, Barter JW, et al. Axons of retinal ganglion cells are insulted in the optic nerve early in DBA/2J glaucoma. J Cell Biol. 2007;179(7):1523–37. https://doi.org/10.1083/jcb.200706181.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Howell GR, Soto I, Libby RT, John SW. Intrinsic axonal degeneration pathways are critical for glaucomatous damage. Exp Neurol. 2013;246:54–61. https://doi.org/10.1016/j.expneurol.2012.01.014. Epub 2012 Jan 18.

  24. Williams PA, Harder JM, Foxworth NE, Cardozo BH, Cochran KE, John SWM. Nicotinamide and WLD(S) act together to prevent neurodegeneration in Glaucoma. Front Neurosci. 2017;11:232. https://doi.org/10.3389/fnins.2017.00232.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Harder JM, Braine CE, Williams PA, Zhu X, MacNicoll KH, Sousa GL, et al. Early immune responses are independent of RGC dysfunction in glaucoma with complement component C3 being protective. Proc Natl Acad Sci U S A. 2017;114(19):E3839–e3848. https://doi.org/10.1073/pnas.1608769114.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Coleman MP, Conforti L, Buckmaster EA, Tarlton A, Ewing RM, Brown MC, et al. An 85-kb tandem triplication in the slow Wallerian degeneration (Wlds) mouse. Proc Natl Acad Sci U S A. 1998;95(17):9985–90. https://doi.org/10.1073/pnas.95.17.9985.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Conforti L, Tarlton A, Mack TG, Mi W, Buckmaster EA, Wagner D, et al. A Ufd2/D4Cole1e chimeric protein and overexpression of Rbp7 in the slow Wallerian degeneration (WldS) mouse. Proc Natl Acad Sci U S A. 2000;97(21):11377–82. https://doi.org/10.1073/pnas.97.21.11377.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Mack TG, Reiner M, Beirowski B, Mi W, Emanuelli M, Wagner D, et al. Wallerian degeneration of injured axons and synapses is delayed by a Ube4b/Nmnat chimeric gene. Nat Neurosci. 2001;4(12):1199–206. https://doi.org/10.1038/nn770.

    Article  CAS  PubMed  Google Scholar 

  29. Risner ML, Pasini S, Cooper ML, Lambert WS, Calkins DJ. Axogenic mechanism enhances retinal ganglion cell excitability during early progression in glaucoma. Proc Natl Acad Sci U S A. 2018;115(10):E2393–e2402. https://doi.org/10.1073/pnas.1714888115.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Chou TH, Romano GL, Amato R, Porciatti V. Nicotinamide-Rich Diet in DBA/2J Mice Preserves Retinal Ganglion Cell Metabolic Function as Assessed by PERG Adaptation to Flicker. Nutrients. 2020;12(7):1910. https://doi.org/10.3390/nu12071910.

  31. El-Danaf RN, Huberman AD. Characteristic patterns of dendritic remodeling in early-stage glaucoma: evidence from genetically identified retinal ganglion cell types. J Neurosci. 2015;35(6):2329–43. https://doi.org/10.1523/JNEUROSCI.1419-14.2015.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Della Santina L, Inman DM, Lupien CB, Horner PJ, Wong RO. Differential progression of structural and functional alterations in distinct retinal ganglion cell types in a mouse model of glaucoma. J Neurosci. 2013;33(44):17444–57. https://doi.org/10.1523/JNEUROSCI.5461-12.2013.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Ou Y, Jo RE, Ullian EM, Wong RO, Della Santina L. Selective vulnerability of specific retinal ganglion cell types and synapses after transient ocular hypertension. J Neurosci. 2016;36(35):9240–52. https://doi.org/10.1523/JNEUROSCI.0940-16.2016.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Risner ML, McGrady NR, Boal AM, Pasini S, Calkins DJ. TRPV1 supports Axogenic enhanced excitability in response to neurodegenerative stress. Front Cell Neurosci. 2020;14:603419.

    Article  Google Scholar 

  35. Pang JJ, Gao F, Wu SM. Light-evoked excitatory and inhibitory synaptic inputs to ON and OFF alpha ganglion cells in the mouse retina. J Neurosci. 2003;23(14):6063–73. https://doi.org/10.1523/JNEUROSCI.23-14-06063.2003.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Krieger B, Qiao M, Rousso DL, Sanes JR, Meister M. Four alpha ganglion cell types in mouse retina: function, structure, and molecular signatures. PLoS One. 2017;12(7):e0180091. https://doi.org/10.1371/journal.pone.0180091.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Sun SW, Nishioka C, Chung CF, Park J, Liang HF. Anterograde-propagation of axonal degeneration in the visual system of wlds mice characterized by diffusion tensor imaging. J Magn Reson Imaging. 2017;45(2):482–91. https://doi.org/10.1002/jmri.25368.

    Article  PubMed  Google Scholar 

  38. Wishart TM, Macdonald SH, Chen PE, Shipston MJ, Coleman MP, Gillingwater TH, et al. Design of a novel quantitative PCR (QPCR)-based protocol for genotyping mice carrying the neuroprotective Wallerian degeneration slow (Wlds) gene. Mol Neurodegener. 2007;2(1):21. https://doi.org/10.1186/1750-1326-2-21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc. 2008;3(6):1101–8. https://doi.org/10.1038/nprot.2008.73.

    Article  CAS  PubMed  Google Scholar 

  40. Sappington RM, Carlson BJ, Crish SD, Calkins DJ. The microbead occlusion model: a paradigm for induced ocular hypertension in rats and mice. Invest Ophthalmol Vis Sci. 2010;51(1):207–16. https://doi.org/10.1167/iovs.09-3947.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Weitlauf C, Ward NJ, Lambert WS, Sidorova TN, Ho KW, Sappington RM, et al. Short-term increases in transient receptor potential vanilloid-1 mediate stress-induced enhancement of neuronal excitation. J Neurosci. 2014;34(46):15369–81. https://doi.org/10.1523/JNEUROSCI.3424-14.2014.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Ward NJ, Ho KW, Lambert WS, Weitlauf C, Calkins DJ. Absence of transient receptor potential vanilloid-1 accelerates stress-induced axonopathy in the optic projection. J Neurosci. 2014;34(9):3161–70. https://doi.org/10.1523/JNEUROSCI.4089-13.2014.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Cooper ML, Pasini S, Lambert WS, D’Alessandro KB, Yao V, Risner ML, et al. Redistribution of metabolic resources through astrocyte networks mitigates neurodegenerative stress. Proc Natl Acad Sci U S A. 2020.

  44. Schmidt TM, Kofuji P. An isolated retinal preparation to record light response from genetically labeled retinal ganglion cells. J Vis Exp. 2011;47.

  45. Prusky GT, Alam NM, Beekman S, Douglas RM. Rapid quantification of adult and developing mouse spatial vision using a virtual optomotor system. Invest Ophthalmol Vis Sci. 2004;45(12):4611–6. https://doi.org/10.1167/iovs.04-0541.

    Article  PubMed  Google Scholar 

  46. Choi SW. Life is lognormal! What to do when your data does not follow a normal distribution. Anaesthesia. 2016;71(11):1363–6. https://doi.org/10.1111/anae.13666.

    Article  CAS  PubMed  Google Scholar 

  47. Rodriguez AR, de Sevilla Müller LP, Brecha NC. The RNA binding protein RBPMS is a selective marker of ganglion cells in the mammalian retina. J Comp Neurol. 2014;522(6):1411–43. https://doi.org/10.1002/cne.23521.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Coombs J, van der List D, Wang GY, Chalupa LM. Morphological properties of mouse retinal ganglion cells. Neuroscience. 2006;140(1):123–36. https://doi.org/10.1016/j.neuroscience.2006.02.079.

    Article  CAS  PubMed  Google Scholar 

  49. Samsam M, Mi W, Wessig C, Zielasek J, Toyka KV, Coleman MP, et al. The Wlds mutation delays robust loss of motor and sensory axons in a genetic model for myelin-related axonopathy. J Neurosci. 2003;23(7):2833–9. https://doi.org/10.1523/JNEUROSCI.23-07-02833.2003.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Tsao JW, Brown MC, Carden MJ, McLean WG, Perry VH. Loss of the compound action potential: an electrophysiological, biochemical and morphological study of early events in axonal degeneration in the C57BL/Ola mouse. Eur J Neurosci. 1994;6(4):516–24. https://doi.org/10.1111/j.1460-9568.1994.tb00295.x.

    Article  CAS  PubMed  Google Scholar 

  51. Fischer RA, Risner ML, Roux AL, Wareham LK, Sappington RM. Impairment of membrane repolarization accompanies axon transport deficits in Glaucoma. Front Neurosci. 2019;13:1139. https://doi.org/10.3389/fnins.2019.01139.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Beirowski B, Babetto E, Coleman MP, Martin KR. The WldS gene delays axonal but not somatic degeneration in a rat glaucoma model. Eur J Neurosci. 2008;28(6):1166–79. https://doi.org/10.1111/j.1460-9568.2008.06426.x.

    Article  PubMed  Google Scholar 

  53. Oyebode OR, Hartley R, Singhota J, Thomson D, Ribchester RR. Differential protection of neuromuscular sensory and motor axons and their endings in Wld(S) mutant mice. Neuroscience. 2012;200:142–58. https://doi.org/10.1016/j.neuroscience.2011.10.020.

    Article  CAS  PubMed  Google Scholar 

  54. Brown R, Hynes-Allen A, Swan AJ, Dissanayake KN, Gillingwater TH, Ribchester RR. Activity-dependent degeneration of axotomized neuromuscular synapses in Wld S mice. Neuroscience. 2015;290:300–20. https://doi.org/10.1016/j.neuroscience.2015.01.018.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Coleman MP, Höke A. Programmed axon degeneration: from mouse to mechanism to medicine. Nat Rev Neurosci. 2020;21(4):183–96. https://doi.org/10.1038/s41583-020-0269-3.

    Article  CAS  PubMed  Google Scholar 

  56. Gilley J, Ribchester RR, Coleman MP. Sarm1 deletion, but not Wld(S), confers lifelong Rescue in a Mouse Model of severe Axonopathy. Cell Rep. 2017;21(1):10–6. https://doi.org/10.1016/j.celrep.2017.09.027.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank Dr. Shu-Wei Sun from Loma Linda University for donating the WldS mice.

Funding

Support provided by a departmental unrestricted award by the Research to Prevent Blindness Inc., Research to Prevent Blindness Inc. Stein Innovation Award, the Stanley Cohen Innovation Fund, and National Institutes of Health grants EY017427, EY024997, and EY008126 to DJC. Imaging supported through the Vanderbilt University Medical Center Cell Imaging Shared Resource core facility and NIH grants CA68485, DK20593, DK58404, and DK59637.

Author information

Author notes

  1. Michael L. Risner and Silvia Pasini contributed equally to this work.

Authors and Affiliations

  1. Department of Ophthalmology and Visual Sciences, Vanderbilt Eye Institute, Vanderbilt University Medical Center, AA7103 MCN/VUIIS, 1161 21st Ave. S, Nashville, TN, 37232, USA

    Michael L. Risner, Silvia Pasini, Nolan R. McGrady, Karis B. D’Alessandro, Vincent Yao, Melissa L. Cooper & David J. Calkins

Authors
  1. Michael L. Risner
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Silvia Pasini
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nolan R. McGrady
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Karis B. D’Alessandro
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Vincent Yao
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Melissa L. Cooper
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. David J. Calkins
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

M.L.R., S.P. and D.J.C. designed research; M.L.R., S.P., N.R.M., K.B.D, V.Y., M.L.C. performed research; M.L.R., S.P., N.R.M., and D.J.C. analyzed data; M.L.R., S.P., and D.J.C. wrote the paper. All authors read and approved the final manuscript.

Corresponding author

Correspondence to David J. Calkins.

Ethics declarations

Ethics approval and consent to participate

The Vanderbilt University Institutional Animal Care and Use Committee approved all experimental procedures described in this manuscript.

Consent for publication

All authors have approved the contents of this manuscript and provided consent for publication.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Risner, M.L., Pasini, S., McGrady, N.R. et al. Neuroprotection by WldS depends on retinal ganglion cell type and age in glaucoma. Mol Neurodegeneration 16, 36 (2021). https://doi.org/10.1186/s13024-021-00459-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13024-021-00459-y

Keywords

Molecular Neurodegeneration

ISSN: 1750-1326