Abstract
Background
Traumatic brain injury (TBI) is a major cause of CNS neurodegeneration and has no disease-altering therapies. It is commonly associated with a specific type of biomechanical disruption of the axon called traumatic axonal injury (TAI), which often leads to axonal and sometimes perikaryal degeneration of CNS neurons. We have previously used genome-scale, arrayed RNA interference-based screens in primary mouse retinal ganglion cells (RGCs) to identify a pair of related kinases, dual leucine zipper kinase (DLK) and leucine zipper kinase (LZK) that are key mediators of cell death in response to simple axotomy. Moreover, we showed that DLK and LZK are the major upstream triggers for JUN N-terminal kinase (JNK) signaling following total axonal transection. However, the degree to which DLK/LZK are involved in TAI/TBI is unknown.
Methods
Here we used the impact acceleration (IA) model of diffuse TBI, which produces TAI in the visual system, and complementary genetic and pharmacologic approaches to disrupt DLK and LZK, and explored whether DLK and LZK play a role in RGC perikaryal and axonal degeneration in response to TAI.
Results
Our findings show that the IA model activates DLK/JNK/JUN signaling but, in contrast to axotomy, many RGCs are able to recover from the injury and terminate the activation of the pathway. Moreover, while DLK disruption is sufficient to suppress JUN phosphorylation, combined DLK and LZK inhibition is required to prevent RGC cell death. Finally, we show that the FDA-approved protein kinase inhibitor, sunitinib, which has activity against DLK and LZK, is able to produce similar increases in RGC survival.
Conclusion
The mitogen-activated kinase kinase kinases (MAP3Ks), DLK and LZK, participate in cell death signaling of CNS neurons in response to TBI. Moreover, sustained pharmacologic inhibition of DLK is neuroprotective, an effect creating an opportunity to potentially translate these findings to patients with TBI.
Keywords: Traumatic axonal injury, Concussion, Cell death, Traumatic brain injury, Optic neuropathy, Dual leucine zipper kinase, DLK, LZK, Retinal ganglion cell
Background
Traumatic brain injury (TBI) affects over 2.5 million people each year in the U.S. alone, and is associated with lasting deficits in motor, sensory, and higher CNS functions [1]. As of yet, there are no therapies that prevent or alter the course of these conditions and, thus, there is an urgent need to better understand the molecular pathways that are responsible for the underlying neuropathology and then develop disease-modifying drugs. A very common pathology in TBI of various causes and degrees of severity is diffuse or traumatic axonal injury (TAI) [2–6]. TAI is thought to be caused by rotational acceleration of the head resulting in extremely rapid axonal stretching in multiple white matter foci in the forebrain and brain stem. We and others have shown that TAI can be modeled in the rodent brain with specifically arranged impact forces [7–12].
A consistent finding in multiple TBI models, including blunt force models such as fluid percussion and impact acceleration (IA) as well as blast, is the presence of TAI in the optic nerve and optic tract [11, 13–15]. This interesting observation, combined with the accessibility and compartmentalized anatomy of the visual system, suggests that retinal ganglion cells (RGCs) are an excellent neuronal system in which to model TAI and explore the underlying cellular and molecular mechanisms.
We have previously identified the key mediators involved in RGC axon injury signaling in primary mouse RGCs with a high-throughput, functional genomic screen. Using small interfering RNAs (siRNAs) to knockdown gene expression, we screened through the mouse genome and, along with others, identified a multi-tiered kinase cascade that is responsible for axon injury signaling in vitro and in vivo [16–19]. This cascade includes the mitogen-activated protein kinase kinase kinases (MAP3Ks) dual leucine zipper kinase (DLK/MAP3K12) and leucine zipper kinase (LZK/MAP3K13), the mitogen-activated protein kinase kinases (MAP2Ks) MKK4/MAP2K4 and MKK7/MAP2K7, and the mitogen-activated protein kinases (MAPKs) JUN N-terminal kinase (JNK) 1–3. In response to optic nerve crush (ONC), DLK is robustly upregulated at the site of axonal injury and is transported to the soma where it initiates a toxic genetic program mediated by multiple transcription factors including JUN [16, 17, 20, 21]. While DLK inhibition is sufficient to reduce cell death after axonal injury, combined DLK and LZK inhibition leads to a more robust protective phenotype suggesting some degree of redundancy [18]. Moreover, there is still uncertainty as to the degree of participation of DLK in the degeneration of axons following injury [16, 17, 22–24]. To the extent that TAI in various models of TBI, including IA, engages this same injury signaling cascade, DLK/LZK inhibition could become part of a neuroprotective treatment strategy for TBI.
In the present study, we explore the activation of DLK/LZK signaling in RGCs in the course of TAI in the mouse visual system inflicted with IA. We then establish the role of this kinase pathway in RGC somal and axonal degeneration with genetic and pharmacological strategies designed to block DLK and LZK. Our results indicate that the DLK/LZK-JNK axis is robustly involved in RGC death associated with TAI in the visual system and suggest a broader role of this kinase cascade in primary axonopathies associated with TBI.
Methods
Experimental subjects and IA procedures
Eight-week-old male C57BL/6 J wild-type mice and transgenic Dlkfl/fl and Dlkfl/flLzkfl/fl mice were subjected to IA or sham injury. Male mice were chosen such as to avoid the confounding effects of sex hormones on injury outcomes [25–29]. Wild-type mice and founders were purchased from Charles River Laboratories (Wilmington, MA). Animals were housed in a vivarium with a 12-h light/12-h dark cycle and given ad libitum access to food and water. All animal handling as well as surgical and postoperative procedures were carried out according to protocols approved by the Animal Care and Use Committee of the Johns Hopkins Medical Institutions.
Impact acceleration injury was performed with height-weight settings generating kinetic energy of 0.45–0.5 J upon impact, essentially as described [11, 12] (Table 1). Immediately prior to injury, the cranium was exposed and a 5 mm-thick stainless-steel disc was glued onto the skull midway between bregma and lambda sutures. Surgical procedures and injury were performed under aseptic conditions with gas anesthesia (isoflurane: oxygen: nitrous oxide = 1:33:66). Immediately after injury the disc was removed the skull was checked under the surgical microscope for skull fractures. The rare animals with skull fractures were excluded from further study because such events introduce injuries variables that cannot be easily controlled. Sham animals were subjected to the same procedures, but without the weight drop. The scalp incision was closed with surgical staples, and the animal was returned to cage.
Table 1.
Experiments/groups | Experimental history, survival times post-IA | Procedures |
---|---|---|
1.Characterization of initial injury in the optic nerve - general |
Sham (n = 3), 4 h post-IA (n = 3), 24 h post-IA (n = 3) IA:40 g × 1 m or 60 g × 0.85 m |
IHC for APP (TAI) and IgG (BBB disruption) |
2. Characterization of initial injury in the optic nerve - CLARITY |
CTB injection immediately post-IA, survival 2 d post-IA (n = 3) IA: 40 g × 1 m -– 60 g × 0.85 m |
CLARITY |
3. Characterization of traumatic axonopathy - general neuropathology in the optic nerve and tract |
7 d post-IA (n = 3) IA:40 g × 1 m or 60 g × 0.85 m |
Gallyas silver IHC for neuroinflammation (IBA1) |
4. Characterization of traumatic axonopathy - death of RGCs in retina |
Sham (n = 6), 2 wk. post-IA (n = 7), 4 wk. post-IA (n = 5) IA:40 g × 1 m |
IHC for γ Synuclein Cell counts on retinal wholemounts |
5. Characterization of traumatic axonopathy - axonal degeneration in optic nerve |
Sham (n = 6), 2 wk. post-IA (n = 7), 4 wk. post-IA (n = 5) IA:40 g × 1 m |
Embedding of optic nerve tissues in epoxy resin, semithin sectioning, toluidine blue staining |
6. Induction of DLK-JNK pathway in RGCs after injury |
24 h (n = 3), 3 d post-IA (n = 3) IA:40 g × 1 m |
IHC for DLK, p-JUN in retinal sections |
7. Time course of DLK-JNK induction in RGCs after injury |
Sham (n = 4), 24 h post-IA (n = 10), 3 d post-IA (n = 5), 7 d post-IA (n = 4), 14 d post-IA (n = 3) IA:40 g × 1 m |
IHC for γ Synuclein and p-JUN Cell counts on retinal wholemounts |
8. Time course of activation of distinct member of DLK-JNK pathway in RGCs after injury |
Sham (n = 3), 24 h post-IA (n = 3), 3 d post-IA (n = 3), 7 d post-IA (n = 3) IA:40 g × 1 m |
Standard Western blotting |
9. Interventional studies - genetic deletion of Dlk on Dlkfl/fl mice and effects on DLK-JNK pathway activation and RGC survival |
AAV2-Cre-GFP into one eye AAV2-GFP into fellow eye (n = 4 each, injections 2 wk. pre-IA, euthanasia 3 days post-IA) IA:60 g × 0.85 m |
IHC for p-JUN Cell counts on retinal wholemounts |
AAV2-Cre-GFP into one eye AAV2-GFP into fellow eye (n = 7 each, injections 2 wk. pre-IA, euthanasia 4 wk. post-IA) IA:60 g × 0.85 m |
IHC for RBPMS Cell counts on retinal wholemounts |
|
10. Interventional studies - genetic deletion of Dlk and Lzk on Dlkfl/flLzkfl/fl and effects on DLK-JNK pathway activation and RGC survival |
AAV2-Cre-GFP into one eye AAV2-GFP into fellow eye (n = 4 each, injections 2 wk. pre-IA, euthanasia 3 day post-IA) IA:60 g × 0.85 m |
IHC for p-JUN Cell counts on retinal wholemounts |
AAV2-Cre-GFP into one eye AAV2-GFP into fellow eye (n = 7 each, injections 2 wk. pre-IA, euthanasia 4 wk. post-IA) IA:60 g × 0.85 m |
IHC for RBPMS Cell counts on retinal wholemounts |
|
11. Interventional studies - pharmacologic kinase inhibition with sunitinib and effects on DLK-JNK pathway activation and RGC survival |
Drug (n = 12) Vehicle (n = 14), both groups 3 wk. post-IA IA:40 g × 1 m |
IHC for γ Synuclein Cell counts on retinal wholemounts |
Histology, histochemistry, immunohistochemistry and microscopy
At the various survival times listed in Table 1, animals were transcardially perfused with freshly depolymerized, 4% neutral-buffered paraformaldehyde. Eyes were enucleated and fixed for 2 h while optic nerves were immersed in the same fixative overnight at 4 °C. In some cases, brains were also included in the study for the analysis of optic tracts and superior colliculi. Tissues were cryoprotected in 30% sucrose and stored at − 80 °C until further processing. Sagittal brain sections (40 μm), some with attached distal nerves, were prepared in series for Gallyas silver staining for injured/degenerating axons and terminals and immunohistochemistry (IHC) for the microglial marker IBA1. Gallyas silver staining was performed as described [14]. Sagittal retinal sections (10 μm) were prepared on a cryostat and processed in series for immunoperoxidase-based IHC to assay for select members of the DLK-JNK pathway, including DLK, phosphorylated JNK (p-JNK) and phosphorylated JUN (p-JUN). Sagittal sections of the entire optic nerve were used to assay for the presence of axon injury and blood brain barrier (BBB) disruption at early time points post-injury, with amyloid precursor protein (APP) and IgG staining, as described [11]. Retinal flat mounts were prepared as described [11] and used to explore injury responses or survival of RGCs based on p-JUN and γ-synuclein (SNCG) immunofluorescence.
In all experiments involving IHC, sections were first incubated in the primary antibody overnight at 4 °C. For immunoperoxidase staining, after incubation with biotinylated secondary antibody (1:200; Jackson ImmunoResearch, West Grove, PA) and then avidin and biotinylated peroxidase, sections were developed with 3,3′-diaminobenzidine (DAB) (Vectastain Elite ABC Kit; Vector Laboratories Inc., Burlingame, CA). For immunofluorescence, after incubation in secondary antibodies conjugated with Cy3 or Cy2 (1:200; Jackson ImmunoResearch, West Grove, PA) for 2–4 h at room temperature, sections were counterstained with the fluorescent DNA dye 4′, 6-diamidino-2-phenylindole (DAPI) and coverslipped with DPX. Primary antibodies included: anti-IBA1 (1:500; Dako; 019–19,741, Carpinteria, CA or Biocare Medical; CP-290A, Pacheco, CA); DLK (1:200, GeneTex; GTX124127, Irvine, CA); p-JNK (1:200, Cell Signaling Technology; 9251 or 4671, Danvers, MA); p-JUN (1:200, Cell Signaling Technology; 9261 or 3270, Danvers, MA); SNCG (1:600; Abnova; H00006623-M01, Walnut, CA or Genetex; GTX110483, Irvine, CA); RBPMS (1:1000, PhosphoSolutions; 1832-RBPMS or 1830-RBPMS, Aurora, CO); and TUJ1 (1:600, Covance; MMS-435P or PRB-435P, Indianapolis, IN or Abcam; ab18207, Cambridge, MA). Immunostained sections were studied on a Zeiss Axiophot microscope equipped for epifluorescence or a Zeiss LSM 510 inverted confocal microscope. Adobe Photoshop 9.0 software (Adobe Systems, San Jose, CA) was used for image processing.
CLARITY-based processing of the optic nerve
To explore the location and extent of axonal injury in the optic nerve after IA, the anterograde tracer cholera toxin subunit B (CTB) conjugated with Alexa Fluor® 488 (CTB 488) was injected intravitreally 1 h after IA or sham injury. Optic nerves were then dissected and processed by CLARITY as described [12]. In brief, optic nerves were incubated in a hydrogel containing 2% acrylamide, 0.025% bis-acrylamide, 0.25% VA-044 initiator and 4% PFA in 0.1 M PBS overnight (4 °C). After degassing, samples were incubated in a water bath (37 °C) for 3 h. Polymerized nerves were then transferred to a boric acid solution with 4% SDS and were incubated for 4 days. Prior to imaging, optic nerves were incubated in FocusClear (CellExplorer catalog #FC-101) and mounted for imaging. Transparent optic nerves were imaged with confocal microscopy at 20× on a Zeiss AxioExaminer microscope with a 710NLO module (Carl Zeiss Inc., Oberkochen, Germany) and images were visualized with Imaris software (Bitplane, Concord, MA).
Semithin-section processing of the optic nerve
Optic nerves from sham- and IA-injured subjects were dissected away from the eyes and brains and treated with a solution containing 4% paraformaldehyde and 0.2% glutaraldehyde for 24 h. After rinsing in 0.1 M phosphate buffer (pH 7.3) for 3–10 min, tissues were immersed in 1% osmium tetroxide for 15 min and stained en bloc with 1% uranyl acetate for 1 h. Stained tissues were dehydrated in graded concentrations of ethanol, embedded in Poly/Bed 812 (Polysciences Inc., Warrington, PA) in BEEM® capsules and polymerized at 60 °C for 72 h. Semithin sections (1 μm) were cut transversely from segments of optic nerves caudal to the eyeball and stained with 1% toluidine blue. Myelinated axonal profiles were studied under 100× magnification on a Zeiss Axiophot microscope equipped for epifluorescence (Diagnostic Instruments Inc., Sterling Heights, MI); normal profiles were counted by investigators blinded to experimental history using the optical fractionator probe in the Stereo Investigator® software (Microbrightfield Inc., Williston, VT).
Immunoblots
To explore the involvement of select members of the DLK-JNK axis in visual TAI after IA, we harvested fresh eyeballs at days 1, 3 and 7 after injury and then dissected the retinas and stored them at − 80 °C. For protein extraction, retinas were sonicated in cell lysis buffer containing 1 mM PMSF (Cell Signaling Technology, Danvers, MA), complete protease inhibitor cocktail and PhosSTOP phosphatase inhibitor cocktail (Roche, Basel, Switzerland) and then incubated for 30 min at room temperature. Solubilized proteins in Laemmli sample buffer were separated on SDS-PAGE gel and then transferred to polyvinylidene fluoride (PVDF) membranes using XCell II blot system (Invitrogen, Carlsbad, CA). Membranes were blocked with 5% Bovine Serum Albumin (BSA) in Tris-buffered saline/0.05% Tween-20 and sequentially incubated in primary antibodies (overnight, 4 °C). In addition to DLK, p-JNK and p-JUN (all at 1:1000) antibodies that were the same as in previous section, we also used antibodies against phosphorylated MKK4 and MKK7 (1:1000, Cell Signaling Technology, Danvers, MA), and a β-actin antibody (1:1000, Cell Signaling Technology, Danvers, MA). HRP-conjugated secondary antibody (1 h at RT) and SuperSignal Chemiluminescent Substrate (Thermo Scientific. Reckford, IL) was used to detect protein signals. Image J (National Institutes of Health) and Prism (GraphPad Software, Inc., La Jolla, CA) were used for quantitation and statistical analysis.
Dlk/Lzk knockout in Dlkfl/fl and Dlkfl/flLzkfl/fl mice
Male Dlkfl/fl and Dlkfl/flLzkfl/fl mice were subjected to IA as described above [11, 12]. Two weeks prior to injury, subjects were intravitreally injected in one eye with AAV2 expressing Cre-GFP (AAV-Cre) and in the fellow eye with AAV2 expressing GFP (AAV-GFP). In one set of experiments (n = 5 per Dlkfl/fl, Dlkfl/fl Lzkfl/f and wild-type mice), 3 days after injury, retinal flat mounts were immunostained for p-JUN and taken for counts of immunoreactive neurons as laid out in previous sections, with the AAV2-GFP-injected eye serving as control. In another experimental scenario (n = 9–10 per Dlkfl/fl, Dlkfl/fl Lzkfl/fl and wild-type mice) animals were allowed to survive for 3 weeks and retinal flat mounts were processed for counts of SNCG-positive or RBPMS-positive RGCs as described in previous Sections.
DLK-JNK inhibition with the protein kinase inhibitor sunitinib
Sunitinib stock solution was made by dissolving drug powder in dimethylsulfoxide (DMSO) at a concentration of 120 mg/ml and was stored at − 20 °C. At the time of drug administration, stock solution was diluted with saline to a final concentration of 6 mg/ml and injected intraperitoneally into mice (60 mg/kg). Sunitinib was administered 24 and 4 h prior to injury, and then once more immediately after the injury (for the evaluation of p-JUN expression in RGCs) or daily for 3 weeks starting immediately after the injury (for the evaluation of RGC survival). Control animals received injections of vehicle solution.
RGC counts in retinal flatmounts
The four quadrants of retinal mounts immunolabeled with SNCG and p-JUN were separately imaged with a 20× objective (0.4 numerical aperture) on a Zeiss LSM 510 inverted confocal microscope (Carl Zeiss Inc., Oberkochen, Germany). Images were adjusted for optimal contrast and brightness with Adobe Photoshop 7.0 and Image J was used to count surviving SNCG (+), RBPMS (+) or injured p-JUN (+) RGCs. Cells were counted in 150 × 150 μm fields from three concentric zones of the same width, from the center to the periphery of the retina, using at least 8 fields per each zone. Cell density was calculated by dividing cell numbers by total area surveyed. The ratio of p-JUN (+) RGCs cells was calculated by dividing the number of p-JUN/SNCG double-labeled cells by the total number of SNCG (+) cells. In a number of experiments, i.e. p-JUN response and survival of RGCs in Dlkfl/fl and Dlkfl/flLzkfl/fl mice and RGC survival in the sunitinib experiment, counts were done using an automated image analysis system (ImageXpress high content imager, Molecular Devices, Sunnyvale CA) using the autofocus and auto-tiling function at 20× magnification followed by automatic quantification with ImageJ.
Statistical methodologies
Statistical analysis was carried out with one-way ANOVA or t test. In the case of ANOVA, significant differences were further analyzed with Tukey’s post hoc test to reveal important main effects or interactions. For counts of axonal number in the characterization of optic neuropathy, numbers were normalized to sham mean. Calculations were performed using Prism 4 (GraphPad Software). Differences were considered significant at p < 0.05.
Results
Traumatic axonal injury in the visual system is associated with RGC axonopathy and axonal degeneration
To characterize the initial effect of IA on the optic nerve, sections were immunostained for amyloid precursor protein (APP), a marker of early TAI. As early as 4 h after injury, we found a distinct region of APP-positive swellings and bulbs between the orbital apex and the chiasm (Fig. 1a-c). Amyloid precursor protein colocalized with IgG immunoreactivity, indicating serum extravasation and blood-brain barrier (BBB) disruption (Fig. 1b-c). Axonal abnormalities included classical axon bulbs and varicosities (Fig. 1e-f). When retinas were injected with CTB488 and optic nerves processed with CLARITY to visualize transport in the nerve, we identified CTB488 transport blockade in the same location of the nerve that had APP-positive axonal abnormalities (Fig. 1d, g). These findings indicate that IA produces a focal traumatic injury to RGC axons in the intracranial portion of the optic nerve.
Seven days after injury, Gallyas silver staining revealed extensive axonal degeneration, from the optic nerve and tract to the superior colliculus (Fig. 2a-d). Degeneration was associated with the presence of deramified/hypertrophic microglia (Fig. 2e-f). Semithin sections of the optic nerve revealed numerous degenerative ovoids and axonal loss at 2 weeks post-injury that was maintained at 4 weeks (Figs. 3 and 4). Axonal degeneration profiles differ between the proximal part of the nerve, close to the eye, with the distal part of the nerve, close to the chiasm. The distal nerve has more pronounced dysmyelination and more severe axonal loss compared to proximal both at two- and four-weeks post injury. There is ongoing degeneration in the distal segment between two- and four-weeks post injury (Fig. 3d). At 4 weeks, de- and dys-myelination were less evident distally, but there was extensive myelin debris (Fig. 4c). To determine if IA caused RGC death, we counted the number of SNCG-positive cells in retinal flatmounts two- and four-weeks post-injury and we found a progressive decrease in the number of RGC somas in the course of the first month (Fig. 5). Taken together, these results suggest that the IA model produces a focal axonal injury that leads to progressive axonal and somal RGC degeneration.
The DLK-JNK pathway is activated in RGCs in the course of visual TAI
Based on previous work implicating DLK-JNK signaling in RGC degeneration after optic nerve crush, we tested whether a diffuse TBI model such as IA activates the DLK-JNK cascade in a similar fashion. Since DLK levels are indicative of pathway activation, we immunostained retinal sections for DLK and also immunoblotted whole retinal lysates. Both approaches showed transient upregulation of DLK, peaking around 1 day after injury (Fig. 6a, c, e and Fig. 7). We did not pursue LZK IHC or immunoblotting because of the lack of reliable antibodies. To determine if this upregulation was associated with pathway activation, we used immunoblotting and IHC to measure the phosphorylation state of the downstream kinases MKK4, MKK7, JNK1–3, and the transcription factor JUN. By 1 day and extending at least until day three after injury, increased phosphorylation of each of the DLK substrates, MKK4 and MKK7, was evident (Fig. 6b, d, f and Fig. 7). The time course of the activation was slightly different between IHC and immunoblotting, with whole-retina immunoblotting failing to detect the early increase likely because of the scarcity of RGCs in whole-retinal samples. Nonetheless, both techniques showed a robust activation of JUN after injury that returned to near baseline by 1 week (Fig. 7).
One confounding possibility is that RGCs with active DLK signaling may die, thereby explaining the transient kinase activation. To test this hypothesis, we double stained retinal whole-mounts with antibodies against p-JUN for pathway activation and the RGC marker SNCG for viable neurons. The increased density of p-JUN-positive RGCs at one, three, seven, and 14 days after IA injury confirmed activation of the DLK-JNK axis (Fig. 8). Moreover, between one and 14 days, there was a decrease in the number of live RGCs with JUN activation, suggesting that kinase activation is transient for most RGCs. Because our TBI model initially activates DLK-JNK signaling in 75% of RGCs (Fig. 8d), but ultimately only ~ 40% of RGC somas and axons die (Fig. 5), it is likely that some fraction of RGCs are able to recover from the injury and normalize the DLK signal. Retinal ganglion cells with prolonged p-JUN expression appear atrophic and with decreased SNCG expression, an indication that they may be degenerating neurons. This potential recovery is surprising given that activation of the DLK-JNK pathway in the optic nerve crush model is sustained and leads to death of most RGCs [17]. In contrast, TBI leads to a robust initial activation of the DLK-JNK pathway, which is partially reversed in the post-acute phase of injury in surviving RGCs.
The activation of JUN in visual TAI is dependent on DLK signaling
We have previously shown that DLK is the major MAP3K input responsible for JNK activation in response to axotomy in the optic nerve crush model, with additional contribution from LZK [18, 19]. To explore the degree to which the same kinases are responsible for JNK activation following the non-transecting injury in the IA model, we turned to mice with conditional alleles of Dlk and Lzk [18, 22]. Floxed Dlk or floxed Dlk/Lzk (Dlkfl/fl and Dlkfl/flLzkfl/fl mice, respectively) were intravitreally injected with AAV-Cre into one eye and a control virus (AAV-GFP) into the fellow eye. After 2 weeks, i.e. time sufficient for AAV to complete its lifecycle and trigger recombination, mice were subjected to TBI with IA. We then measured the rate of JUN phosphorylation as determined by the number of p-JUN (+) RGCs 3 days after injury (when signaling peaks based on immunohistochemical and immunoblot data). Compared to control animals (Fig. 9a), eyes with a targeted disruption of DLK/LZK had a significant (~ 75%) suppression of JUN phosphorylation (Fig. 9c, f). Interestingly, similar suppression was seen with DLK disruption alone (Fig. 9e), suggesting that DLK is a primary mediator of JNK activation in the IA model, and that LZK cannot compensate for a loss of DLK.
Combined deletion of Dlk and Lzk increases survival of RGCs in visual TAI
To test the role of DLK and LZK in cell death following IA, a separate group of Dlkfl/fl and Dlkfl/flLzkfl/fl mice were injected with AAV-Cre or AAV-GFP and RGC survival was quantified 30 days after injury. Deletion of Dlk failed to show a significant effect on survival (Fig. 9g). However, combined deletion of Dlk and Lzk was protective and significantly increased survival of RGCs (Fig. 9b, d, h). These findings suggest that DLK and LZK have redundant abilities to trigger cell death in TAI, which differs from the ONC model in which Dlk deletion alone is robustly protective [18].
Pharmacologic DLK/LZK inhibition improves RGC survival in visual TAI
Since genetic disruption of DLK/LZK protected injured RGCs, we asked whether pharmacological inhibition of DLK and LZK could similarly improve RGC survival in the IA model. Using published profiling data, we identified the FDA-approved protein kinase inhibitor sunitinib as having activity against DLK and LZK, but not against the downstream kinases MKK4, MKK7 and JNK1–3 [30]. Given that sunitinib penetrates the CNS [31], we tested whether its administration could promote RGC survival in the IA model. First, to confirm target engagement, mice were treated with intraperitoneal sunitinib (or the vehicle control) at 1 day and 4 h prior to injury, and then once more on the day after injury. Retinas were then harvested and stained for p-JUN. Sunitinib treatment led to a significant decrease in the number of p-JUN positive RGCs, confirming that it was able to partially suppress JNK signaling (Fig. 10). We then repeated the experiment, this time extending the treatment period for 21 days and assaying for RGC survival using SNCG staining of retinal whole-mount preparations. The results show that sunitinib treatment can improve neuronal survival following IA, increasing the number of surviving RGCs from 1500 cells/mm2 to nearly 2300 cells/mm2 (p < 0.05, t-test) when compared to vehicle, although the effect does not achieve normal (sham) RGC densities (Fig. 10b).
Combined deletion of Dlk and Lzk protects optic nerve axons early in the course of TAI-associated axonopathy
Having established the long-term protective effect of either genetic or pharmacological DLK/LZK inhibition on RGC survival, we explored the role of these kinases in axonal degeneration produced by the IA model. Based on stereological counts of myelinated axons in the optic nerve proximal and distal to the putative site of injury and comparisons between AAV-Cre and control AAV-GFP-treated eyes, DLK deletion alone did not appear to protect axons at 3 or 30 days post-injury. The combined deletion of Dlk and Lzk protected optic nerve axons at 3 days after TBI, but this effect was not sustained at the 30-day time point post injury (Fig. 11). Taken together, these results suggest that TAI-associated axonal degeneration in the visual system is not as dependent on the DLK/LZK genetic program.
Discussion
Our study explores the role of two MAP3Ks, DLK and LZK, in TAI-associated axonopathy and RGC degeneration in the visual system following IA injury. Traumatic axonal injury in the visual system is featured by axonal transport defects followed by axonal swellings and bulbs in a segment of optic nerve. This is then followed by progressive axonopathic changes (traumatic axonopathy) leading to degeneration of a sizable portion of axons and retrograde death of RGCs. Our findings indicate that TAI in the visual system is associated with the activation of the DLK/LZK-JNK axis that is responsible, at least in part, for RGC somal death, although its role in axonal degeneration is limited. The conditional knockout of Dlk and Lzk in adult mice employed here precludes a neurodevelopmental compensation effect on RGC survival and points to the central role of the DLK-JNK axis in neurodegeneration after TBI. The role of DLK/LZK in triggering RGC degeneration during TAI is further supported by the neuroprotective effect of the FDA-approved kinase inhibitor, sunitinib, a finding with therapeutic potential. Our results show that molecular signals operating in simple forms of axonal injury, i.e. axotomy, play important roles in some of the degenerative outcomes of TAI in the CNS.
We have previously shown that our diffuse model of TBI (IA) leads to multifocal TAI in the corticospinal tract, optic nerve, gracile fasciculus, fornix, and corpus callosum [11, 12]. Traumatic axonal injury in the visual system is associated with optic nerve axonopathy (traumatic axonopathy) that is further characterized here and has been shown to correlate with injury burden [11]. The primary biomechanical disruption of the optic nerve corresponds to a region between the orbital apex and the chiasm which is roughly used for the pathological distinctions between “proximal” and “distal” in this paper. Degenerating optic nerve axons show widespread dysmyelination/demyelination that is evident as early as 3 days post-injury. Axonopathy is more severe distal to the site of biomechanical disruption where it continues to evolve over the course of the 4-week period examined in our study. Compared to the effects of IA in other CNS tracts, e.g. the corticospinal tract, a distinct feature of TAI in the optic nerve is the retrograde degeneration of neurons (RGCs), in keeping with the classical vulnerability of these nerve cells to death after axonal lesions [32–34]. This notion is further supported by the fact that progression of death of RGC somata appears to lag behind the wave of axonal degeneration. The co-registration of rates of death in RGCs and in proximal axons, both of which are ~ 25–30%, may suggest a biological correlation between degeneration of perikarya and degeneration of proximal axons.
DLK is part of a highly-conserved retrograde injury signal that is triggered by axotomy, leading to the activation of both apoptotic and regenerative processes [17, 19, 21, 35]. However, simple axotomy models (e.g. optic nerve crush) differ from more clinically relevant models, e.g. TAI, in that the latter tend to produce more graded and incomplete axonal injury. The degree to which DLK is required for TBI- and TAI-associated axonopathy had not been previously explored. Our results suggest some key similarities and differences. As with axotomy, TAI leads to upregulation of DLK and activation of the MKK/JNK/JUN signaling pathway in RGCs. Moreover, DLK acts as obligatory upstream mediator of JUN activation, because targeted disruption of DLK leads to a near-total suppression of JUN phosphorylation. Perhaps the most important difference is that the TAI model triggers DLK activation in such a way that a subset of RGCs can recover and terminate the signal. The mechanism by which this phenomenon occurs is probably related to subthreshold biomechanical injury in a large number of optic nerve axons but may also involve selective vulnerability of subclasses of RGC neurons. These issues need to be explored further because they may have important implications for RGC neuroprotection in the context of TBI.
Furthermore, in contrast to axotomy models in which deletion of Dlk by itself rescues the survival of ~ 75% of RGCs [16, 17, 19] in the TAI model, knockout of Dlk has little effect on RGC survival. Only when both DLK and LZK were targeted did we see an increase in RGC survival, suggesting a degree of genetic redundancy for these two highly-related kinases. Not surprisingly, the degree of redundancy seems to be dependent on the model, with the TAI model and primary RGC cultures showing a large degree of DLK/LZK redundancy (i.e. combined inhibition is required for robust survival), while the ONC model shows a lesser degree of redundancy (i.e. combined disruption produces a more modest increase in survival over Dlk disruption alone). It is also interesting to note that deletion of Dlk with or without Lzk leads to a significant reduction in the downstream phosphorylation of JUN but only the combined deletion of the two protects RGC viability. Although we cannot exclude effects on the kinetics or localization of JNK activation, these data could indicate that LZK may be upstream of an as-yet-unidentified pathway responsible for RGC cell death in TAI.
In order to develop an expedited route to clinically evaluate DLK/LZK inhibition as a neuroprotective strategy, we previously surveyed FDA-approved protein kinase inhibitors for ones with activity against DLK and LZK. This approach identified sunitinib (Sutent®), FDA-approved for renal cell carcinoma and gastrointestinal stromal tumor, as having high nanomolar IC50 for both DLK and LZK. Moreover, we showed that sunitinib increased the survival of induced pluripotent stem cell (iPSC)-derived human RGCs [18]. Here we have extended these findings to demonstrate that pharmacological blockade of DLK and LZK with sunitinib increases RGC survival in vivo in a rodent TBI model. To these authors’ knowledge, and with the possible exception of antioxidants [36], this is the first demonstration of an FDA-approved compound decreasing neuronal cell death in a TBI model.
Central nervous system tracts other than the visual system that are vulnerable to TAI and succumb to traumatic axonopathy [12] may also use DLK-dependent injury signals; therefore, our findings raise the prospect of using protein kinase inhibitors as part of a neuroprotective strategy for TBI. Traumatic brain injury very commonly affects axons and the state of axons after injury is important for the integrity of neuronal circuitry and the function of neural networks [37]. After we established that RGC somatic death is, at least in part, a DLK/LZK-dependent phenomenon, we explored the effect of the DLK/LZK pathway on axonal survival. DLK appears to be implicated in axonal degeneration through a negative effect on levels of SCG10, an anterogradely transported protein that promotes axonal survival after axotomy in vitro [38]. More recently, the involvement of DLK in axonal degeneration has been examined in vitro using primary dorsal root ganglion neurons [23]. These experiments have revealed an important role of DLK in maintaining basal levels of NMNAT2, an essential axonal survival factor, through the degradation of the palmitoylated form of the enzyme under normal conditions. Deletion of Dlk raises basal level of anterogradely transported NMNAT2 prior to injury, and thus delays axonal degeneration. This protective effect is more pronounced when combined with deletion of the Phr1/Skp1a/Fbxo45 ligase complex that is important for the degradation of the nonpalmitoylated fraction of NMNAT2 [23]. Consistent with these observations, we found that the combined deletion of Dlk and Lzk only protected optic nerve axons from degeneration early, i.e. 3 days, post injury. To our knowledge, this is the first demonstration that LZK plays a role, albeit limited, in an active axonal degeneration program. This finding is in line with the kinetics of NMNAT2, a labile protein that needs continuous replenishment to exert protective effects on axons [39]. The blockade of anterograde transport that occurs with TAI would have prevented the axonal transport of NMNAT2, leaving the axon only with basal levels of the protein, which may be higher is neurons with deleted Dlk/Lzk. This effect, however, may not be sufficient to completely protect injured axons, as suggested by the fact that there is no significant effect on survival at 30 days post injury.
Conclusion
Here we have shown the RGC loss after TBI can be prevented, at least in part, by the genetic deletion or pharmacological inhibition of DLK/LZK. This finding may be an important step in protecting RGCs in the context of TBI and potentially allowing them to reintegrate into the visual circuitry if many axons are still relatively intact or if regenerative strategies become more effective in the future [40]. We also showed that by blocking DLK/LZK we may delay degeneration of RGC axons although, as has been also shown in simple axotomy lesions, the effect on RGC somata is clearly more robust [16, 41–43]. Finally, here we showed that an FDA-approved drug, sunitinib, with activity against both DLK and LZK, is able to increase RGC survival in a TBI model. Although future work will need to establish if pharmacologic DLK/LZK inhibition can prevent degeneration when given in a more clinically-relevant post-injury paradigm, our findings already suggest that this intervention may be a promising lead for translational efforts in the field of TBI.
Acknowledgements
We thank Santiago Gonzalez for expert technical assistance.
Abbreviations
- APP
Amyloid precursor protein
- BBB
Blood brain barrier
- CTB
Cholera toxin B
- DAB
3,3′-diaminobenzidine
- DAPI
4′, 6-diamidino-2-phenylindole
- DLK
Dual leucine zipper kinase (MAP3K12)
- IA
Impact acceleration
- IHC
Immunohistochemistry
- JNK
JUN N-terminal kinase
- LZK
Leucine zipper kinase (MAP3K13)
- MAP2K
Mitogen activated protein kinase kinase
- MAP3K
Mitogen activated protein kinase kinase kinase
- MAPK
Mitogen activated protein kinase
- MKK4
Mitogen activated protein kinase kinase four
- MKK7
Mitogen activated protein kinase kinase seven
- NMNAT2
Nicotinamide mononucleotide adenylyl transferase two
- ON
Optic nerve
- ONC
Optic nerve crush
- OT
Optic tract
- p-JUN
phosphorylated JUN
- RBPMS
RNA binding protein, mRNA processing factor
- RGC
Retinal ganglion cell
- SC
Superior colliculus
- siRNA
small interfering RNA
- SNCG
Gamma synuclein
- TAI
Traumatic axonal injury
- TBI
Traumatic brain injury
Authors’ contributions
DSW, DJZ and VEK were responsible for the design, analysis and interpretation of all experiments and were major contributors to the writing of the manuscript. NKZ played a major role in the design, performance, analysis and interpretation of many experiments and the writing of the manuscript. ASA, LX, BJK, YG, NS, AKP and ML were involved in the TBI experiments, immunohistochemistry and cell and axonal counts. JR assisted with IHC and was responsible for immunoblotting and preparation of figures. All authors read and approved the final manuscript.
Authors’ information
Not applicable.
Funding
D.S.W. received funding from the Ziegler Career Development Award, Research to Prevent Blindness Career Development Award, DoD Vision Research Program Translational Research Award and NEI R01EY029342–01. D.J.Z. received funding from NIH (including core grant 5P30EY001765), Research to Prevent Blindness, BrightFocus Foundation, the Department of Defense, and the Guerrieri Family Foundation. V.E.K received funding from the Department of Defense W81XWH-14-0396, State of Maryland TEDCO 2015-MSCRFI-1718, National Institutes of Health RO1EY028039, the Sidran Family Foundation, and the Spyros N. Lemos Memorial Fund. In all cases, the funding agencies were not involved in the acquisition, analysis, interpretation and/or presentation/reporting of data.
Availability of data and materials
The primary data used and/or analysed during the current study (e.g. images of the original immunoblots) are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
All animal experiments were carried out in accordance with the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Derek S. Welsbie and Nikolaos K. Ziogas are Equal first authors
Contributor Information
Derek S. Welsbie, Email: dwelsbie@ucsd.edu
Nikolaos K. Ziogas, Email: ziogasnick@gmail.com
Leyan Xu, Email: lxu089@gmail.com.
Byung-Jin Kim, Email: schwarzbkim@gmail.com.
Yusong Ge, Email: geyusongmed@sina.com.
Amit K. Patel, Email: akp32578@gmail.com
Jiwon Ryu, Email: jryu4@jhmi.edu.
Mohamed Lehar, Email: mlehar@jhmi.edu.
Athanasios S. Alexandris, Email: aalexa27@jhmi.edu
Nicholas Stewart, Email: nstewa18@jhmi.edu.
Donald J. Zack, Email: donzack@gmail.com
Vassilis E. Koliatsos, Email: koliat@jhmi.edu
References
- 1.Frieden TR, Houry D, Baldwin G. CDC Report Congress on traumatic brain injury in the United States: Epidemiology and Rehabilitation. 2015. [Google Scholar]
- 2.Adams JH, Murray MF. Atlas of post-mortem techniques in neuropathology. Cambridge: Cambridge University Press; 1982. [Google Scholar]
- 3.Blumbergs PC, Jones NR, North JB. Diffuse axonal injury in head trauma. J Neurol Neurosurg Psychiatry. 1989;52:838–841. doi: 10.1136/jnnp.52.7.838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Blumbergs PC, Scott G, Manavis J, Wainwright H, Simpson DA, Mclean AJ. Staining of amyloid precursor protein to study axonal damage in mild head-injury. Lancet. 1994;344(8929):1055–1056. doi: 10.1016/S0140-6736(94)91712-4. [DOI] [PubMed] [Google Scholar]
- 5.Mittl RL, Grossman RI, Hiehle JF, Hurst RW, Kauder DR, Gennarelli TA, et al. Prevalence of MR evidence of diffuse axonal injury in patients with mild head injury and normal head CT findings. AJNR Am J Neuroradiol. 1994;15(8):1583–1589. [PMC free article] [PubMed] [Google Scholar]
- 6.Strich SJ. Diffuse degeneration of the cerebral white matter in severe dementia following head injury. J Neurol Neurosurg Psychiatry. 1956;19:163–185. doi: 10.1136/jnnp.19.3.163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Foda MAA, Marmarou A. A New Model of Diffuse Brain Injury in Rats .2. Morphological Characterization. J Neurosurg. 1994;80(2):301–313. doi: 10.3171/jns.1994.80.2.0301. [DOI] [PubMed] [Google Scholar]
- 8.Marmarou A, Foda MAA, Vandenbrink W, Campbell J, Kita H, Demetriadou K. A New Model of Diffuse Brain Injury in Rats .1. Pathophysiology and Biomechanics. J Neurosurg. 1994;80(2):291–300. doi: 10.3171/jns.1994.80.2.0291. [DOI] [PubMed] [Google Scholar]
- 9.Povlishock JT, Erb DE, Astruc J. Axonal response to traumatic brain injury: reactive axonal change, deafferentation, and neuroplasticity. J Neurotrauma. 1992;9(Suppl. 1):S189–S200. [PubMed] [Google Scholar]
- 10.Povlishock JT, Marmarou A, McIntosh T, Trojanowski JQ, Moroi J. Impact acceleration injury in the rat: evidence for focal axolemmal change and related neurofilament sidearm alteration. J Neuropathol Exp Neurol. 1997;56(4):347–359. doi: 10.1097/00005072-199704000-00003. [DOI] [PubMed] [Google Scholar]
- 11.Xu L, Nguyen JV, Lehar M, Menon A, Rha E, Arena J, et al. Repetitive mild traumatic brain injury with impact acceleration in the mouse: multifocal axonopathy, neuroinflammation, and neurodegeneration in the visual system. Exp Neurol. 2016;275(Pt 3):436–449. doi: 10.1016/j.expneurol.2014.11.004. [DOI] [PubMed] [Google Scholar]
- 12.Ziogas NK, Koliatsos VE. Primary traumatic Axonopathy in mice subjected to impact acceleration: a reappraisal of pathology and mechanisms with high-resolution anatomical methods. J Neurosci. 2018;38(16):4031–4047. doi: 10.1523/JNEUROSCI.2343-17.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Bricker-Anthony C, Rex TS. Neurodegeneration and vision loss after mild blunt trauma in the C57Bl/6 and DBA/2J mouse. PLoS One. 2015;10(7):e0131921. doi: 10.1371/journal.pone.0131921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Koliatsos VE, Cernak I, Xu L, Song Y, Savonenko A, Crain BJ, et al. A mouse model of blast injury to brain: initial pathological, neuropathological, and behavioral characterization. J Neuropathol Exp Neurol. 2011;70(5):399–416. doi: 10.1097/NEN.0b013e3182189f06. [DOI] [PubMed] [Google Scholar]
- 15.Wang J, Hamm RJ, Povlishock JT. Traumatic axonal injury in the optic nerve: evidence for axonal swelling, disconnection, dieback, and reorganization. J Neurotrauma. 2011;28(7):1185–1198. doi: 10.1089/neu.2011.1756. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Fernandes KA, Harder JM, John SW, Shrager P, Libby RT. DLK-dependent signaling is important for somal but not axonal degeneration of retinal ganglion cells following axonal injury. Neurobiol Dis. 2014;69:108–116. doi: 10.1016/j.nbd.2014.05.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Watkins TA, Wang B, Huntwork-Rodriguez S, Yang J, Jiang Z, Eastham-Anderson J, et al. DLK initiates a transcriptional program that couples apoptotic and regenerative responses to axonal injury. Proc Natl Acad Sci U S A. 2013;110(10):4039–4044. doi: 10.1073/pnas.1211074110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Welsbie DS, Mitchell KL, Jaskula-Ranga V, Sluch VM, Yang Z, Kim J, et al. Enhanced functional genomic screening identifies novel mediators of dual Leucine zipper kinase-dependent injury signaling in neurons. Neuron. 2017;94(6):1142–1154. doi: 10.1016/j.neuron.2017.06.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Welsbie DS, Yang Z, Ge Y, Mitchell KL, Zhou X, Martin SE, et al. Functional genomic screening identifies dual leucine zipper kinase as a key mediator of retinal ganglion cell death. Proc Natl Acad Sci U S A. 2013;110(10):4045–4050. doi: 10.1073/pnas.1211284110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Holland SM, Collura KM, Ketschek A, Noma K, Ferguson TA, Jin Y, et al. Palmitoylation controls DLK localization, interactions and activity to ensure effective axonal injury signaling. Proc Natl Acad Sci U S A. 2016;113(3):763–768. doi: 10.1073/pnas.1514123113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Xiong X, Wang X, Ewanek R, Bhat P, DiAntonio A, Collins CA. Protein turnover of the Wallenda/DLK kinase regulates a retrograde response to axonal injury. J Cell Biol. 2010;191(1):211–223. doi: 10.1083/jcb.201006039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Miller BR, Press C, Daniels RW, Sasaki Y, Milbrandt J, DiAntonio A. A dual leucine kinase-dependent axon self-destruction program promotes Wallerian degeneration. Nat Neurosci. 2009;12(4):387–389. doi: 10.1038/nn.2290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Summers DW, Milbrandt J, DiAntonio A. Palmitoylation enables MAPK-dependent proteostasis of axon survival factors. Proc Natl Acad Sci U S A. 2018;115(37):E8746–E8E54. doi: 10.1073/pnas.1806933115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Yang J, Wu Z, Renier N, Simon DJ, Uryu K, Park DS, et al. Pathological axonal death through a MAPK cascade that triggers a local energy deficit. Cell. 2015;160(1–2):161–176. doi: 10.1016/j.cell.2014.11.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Arevalo MA, Azcoitia I, Garcia-Segura LM. The neuroprotective actions of oestradiol and oestrogen receptors. Nat Rev Neurosci. 2015;16(1):17–29. doi: 10.1038/nrn3856. [DOI] [PubMed] [Google Scholar]
- 26.Green PS, Simpkins JW. Neuroprotective effects of estrogens: potential mechanisms of action. Int J Dev Neurosci. 2000;18(4–5):347–358. doi: 10.1016/S0736-5748(00)00017-4. [DOI] [PubMed] [Google Scholar]
- 27.Mollayeva T, Mollayeva S, Colantonio A. Traumatic brain injury: sex, gender and intersecting vulnerabilities. Nat Rev Neurol. 2018;14(12):711–722. doi: 10.1038/s41582-018-0091-y. [DOI] [PubMed] [Google Scholar]
- 28.Raghava N, Das BC, Ray SK. Neuroprotective effects of estrogen in CNS injuries: insights from animal models. Neurosci Neuroecon. 2017;6:15–29. doi: 10.2147/NAN.S105134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Suzuki S, Brown CM, Wise PM. Mechanisms of neuroprotection by estrogen. Endocrine. 2006;29(2):209–215. doi: 10.1385/ENDO:29:2:209. [DOI] [PubMed] [Google Scholar]
- 30.Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, et al. A quantitative analysis of kinase inhibitor selectivity. Nat Biotechnol. 2008;26(1):127–132. doi: 10.1038/nbt1358. [DOI] [PubMed] [Google Scholar]
- 31.Tang SC, Lagas JS, Lankheet NA, Poller B, Hillebrand MJ, Rosing H, et al. Brain accumulation of sunitinib is restricted by P-glycoprotein (ABCB1) and breast cancer resistance protein (ABCG2) and can be enhanced by oral elacridar and sunitinib coadministration. Int J Cancer. 2012;130(1):223–233. doi: 10.1002/ijc.26000. [DOI] [PubMed] [Google Scholar]
- 32.Levkovitch-Verbin H. Animal models of optic nerve diseases. Eye (Lond) 2004;18(11):1066–1074. doi: 10.1038/sj.eye.6701576. [DOI] [PubMed] [Google Scholar]
- 33.Lobato RD. Historical vignette of Cajal’s work “degeneration and regeneration of the nervous system” with a reflection of the author. Neurocirugia (Astur) 2008;19(5):456–468. doi: 10.1016/S1130-1473(08)70215-X. [DOI] [PubMed] [Google Scholar]
- 34.Villegas-Perez MP, Vidal-Sanz M, Rasminsky M, Bray GM, Aguayo AJ. Rapid and protracted phases of retinal ganglion cell loss follow axotomy in the optic nerve of adult rats. J Neurobiol. 1993;24(1):23–36. doi: 10.1002/neu.480240103. [DOI] [PubMed] [Google Scholar]
- 35.Ghosh AS, Wang B, Pozniak CD, Chen M, Watts RJ, Lewcock JW. DLK induces developmental neuronal degeneration via selective regulation of proapoptotic JNK activity. J Cell Biol. 2011;194(5):751–764. doi: 10.1083/jcb.201103153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Shen Q, Hiebert JB, Hartwell J, Thimmesch AR, Pierce JD. Systematic review of traumatic brain injury and the impact of antioxidant therapy on clinical outcomes. Worldviews Evid-Based Nurs. 2016;13(5):380–389. doi: 10.1111/wvn.12167. [DOI] [PubMed] [Google Scholar]
- 37.Buki A, Povlishock JT. All roads lead to disconnection? Traumatic axonal injury revisited. Acta Neurochir. 2006;148(2):181–193. doi: 10.1007/s00701-005-0674-4. [DOI] [PubMed] [Google Scholar]
- 38.Shin JE, Miller BR, Babetto E, Cho Y, Sasaki Y, Qayum S, et al. SCG10 is a JNK target in the axonal degeneration pathway. Proc Natl Acad Sci U S A. 2012;109(52):E3696–E3705. doi: 10.1073/pnas.1216204109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Gilley J, Coleman MP. Endogenous Nmnat2 is an essential survival factor for maintenance of healthy axons. PLoS Biol. 2010;8(1):e1000300. doi: 10.1371/journal.pbio.1000300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Lim JH, Stafford BK, Nguyen PL, Lien BV, Wang C, Zukor K, et al. Neural activity promotes long-distance, target-specific regeneration of adult retinal axons. Nat Neurosci. 2016;19(8):1073–1084. doi: 10.1038/nn.4340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Jakobs TC, Libby RT, Ben Y, John SW, Masland RH. Retinal ganglion cell degeneration is topological but not cell type specific in DBA/2J mice. J Cell Biol. 2005;171(2):313–325. doi: 10.1083/jcb.200506099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Libby RT, Li Y, Savinova OV, Barter J, Smith RS, Nickells RW, et al. Susceptibility to neurodegeneration in a glaucoma is modified by Bax gene dosage. PLoS Genet. 2005;1(1):17–26. doi: 10.1371/journal.pgen.0010004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Whitmore AV, Libby RT, John SW. Glaucoma: thinking in new ways-a role for autonomous axonal self-destruction and other compartmentalised processes? Prog Retin Eye Res. 2005;24(6):639–662. doi: 10.1016/j.preteyeres.2005.04.004. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The primary data used and/or analysed during the current study (e.g. images of the original immunoblots) are available from the corresponding author on reasonable request.