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. 2021 Apr 9;11:7838. doi: 10.1038/s41598-021-87476-5

Conditional RAC1 knockout in motor neurons restores H-reflex rate-dependent depression after spinal cord injury

Curtis A Benson 1,2, Kai-Lan Olson 1,2, Siraj Patwa 1,2, Marike L Reimer 1,2, Lakshmi Bangalore 1,2, Myriam Hill 1,2, Stephen G Waxman 1,2, Andrew M Tan 1,2,
PMCID: PMC8035187  PMID: 33837249

Abstract

A major complication with spinal cord injury (SCI) is the development of spasticity, a clinical symptom of hyperexcitability within the spinal H-reflex pathway. We have previously demonstrated a common structural motif of dendritic spine dysgenesis associated with hyperexcitability disorders after injury or disease insults to the CNS. Here, we used an adeno-associated viral (AAV)-mediated Cre-Lox system to knockout Rac1 protein expression in motor neurons after SCI. Three weeks after AAV9-Cre delivery into the soleus/gastrocnemius of Rac1-“floxed” adult mice to retrogradely infect spinal alpha-motor neurons, we observed significant restoration of RDD and reduced H-reflex excitability in SCI animals. Additionally, viral-mediated Rac1 knockdown reduced presence of dendritic spine dysgenesis on motor neurons. In control SCI animals without Rac1 knockout, we continued to observe abnormal dendritic spine morphology associated with hyperexcitability disorder, including an increase in mature, mushroom dendritic spines, and an increase in overall spine length and spine head size. Taken together, our results demonstrate that viral-mediated disruption of Rac1 expression in ventral horn motor neurons can mitigate dendritic spine morphological correlates of neuronal hyperexcitability, and reverse hyperreflexia associated with spasticity after SCI. Finally, our findings provide evidence of a putative mechanistic relationship between motor neuron dendritic spine dysgenesis and SCI-induced spasticity.

Subject terms: Spine regulation and structure, Spinal cord injury, Excitability

Introduction

Up to 80% of individuals with spinal cord injury (SCI) develop hyperreflexia and spasticity, which negatively affects quality of life and can impede rehabilitative efforts1,2. While currently available drugs, such as baclofen or Botox, have good utility in providing relief in the short-term, their long-term use carries the risk for complications, e.g., development of tolerance, systemic toxicity, and issues related with implanted infusion devices.

Spasticity is a clinical symptom of hyperexcitability within the spinal stretch reflex system, which presents as a velocity-dependent increase in tonic stretch reflexes with exaggerated tendon jerks3. Several central mechanisms may underlie pathological reflex control following injury or disease, including the loss of descending supraspinal and local segmental spinal inhibition, and maladaptive increases in intrinsic motor neuron excitability47. Additionally, injury-induced structural changes can powerfully affect reflex function associated with spasticity8,9

Dendritic spines are structural regulators of postsynaptic function, influencing the efficacy of synaptic transmission, and can change following disease or injury, including SCI1014. Importantly, emerging evidence suggests that dendritic spine reorganization “locks-in” in the clinically intractable nature of SCI-induced spasticity1518. Targeting molecular switches involved in dendritic spine dysgenesis may provide an avenue to alleviate spasticity. One such target is the Rac1 signaling pathway, which controls actin depolymerization through the downstream targets Pak1 and cofilin. Rac1 inhibits cofilin activity preventing actin depolymerization causing an increase dendritic spine stability19,20. In the context of SCI, disrupting Rac1 may attenuate dendritic spine dysgenesis by reducing the formation and maturation of dendritic spines. Treatment with a pharmacological Rac1 inhibitor can disrupt abnormal spine plasticity and partially restores spinal reflex function after SCI21. However, the use of pharmacological inhibitors has limited empirical utility due to non-specific tissue action.

To assess the specific role of Rac1-regulated dendritic spine plasticity in motor neurons in spasticity after SCI, we used a viral-mediated cre-loxp knockout system targeting Rac1. To retrogradely infect spinal alpha-motor neurons, we delivered AAV9-Cre into the soleus/gastrocnemius of Rac1-”floxed” adult mice. Three weeks after injection we observed a significant restoration of rate-dependent depression (RDD) and reduced H-reflex excitability in SCI animals. Viral-mediated Rac1 knockdown also reduced dendritic spine dysgenesis on motor neurons. In control SCI animals without Rac1 knockout, we continued to observe abnormal dendritic spine morphology associated with hyperexcitability disorder, including an increase in mature, mushroom dendritic spines, and an increase in overall spine length and spine head size. Collectively, these findings show that targeted disruption of Rac1 expression in ventral horn motor neurons can reduce dendritic spine dysgenesis, and partially reverse spasticity following SCI. This report provides further evidence for a novel mechanistic relationship between abnormal dendritic spine remodeling in the spinal cord motor reflex system and spasticity following traumatic injury.

Materials and methods

Animals

Experiments were performed in accordance with the National Institutes of Health Guidelines for the Care and Use of Laboratory Animals and in compliance with ARRIVE guidelines. All animal protocols were approved by the Yale University/Veterans Affairs Institutional Animal Use Committee. Animals were housed under a 12-h light–dark cycle with food and water provided ad libitum. Eight-week old male and female mice (c57/bl6) underwent either sham or SCI surgery. A total of 57 animals were used between sham (n = 12), SCI control (n = 23) and SCI Rac−/− (n = 22) groups (Fig. 1). Experimental animals were conditional tdTomato reporter Gt(ROSA)26Sortm9(CAG-tdTomato)Hze/J (Jackson labs, stock # 007909) crossed with Rac1flox (Jackson labs, stock #005550). Control animals were littermates with conditional tdTomato expression and wildtype Rac1. The genotype of each animal was confirmed by PCR prior to study inclusion.

Figure 1.

Figure 1

Study design. All animals underwent baseline behavioral testing and were randomly assigned to either SCI or sham groups. Spinal reflex excitability (EMG) and locomotor behavior was tested one-week post SCI or Sham prior to intramuscular injection of AAV9CMVCre into the left hindlimb soleus and gastrocnemius muscles. To assess the effect of conditional Rac1 KO (SCI Rac1−/−), locomotor behavior and spinal reflex testing was conducted after AAV9CMVCre injection at four weeks post-SCI. After completion of EMG and behavioral testing, tissue samples were collected for histology and dendritic spine analysis.

Spinal cord injury

For animals with SCI, a laminectomy was performed at the 12th thoracic vertebra (T12) to expose the L2 spinal cord surface22. Briefly, mice were anesthetized with 1–3% isoflurane. A mild severity spinal contusion injury model was performed with an Infinite Horizons impactor (Precision Systems and Instrumentation, LLC)23. A metal rod (diameter: 1.3 mm) was applied to the exposed dorsal surface with a 50kDyn impact force. We measured biomechanical data for actual impact force and spinal cord displacement (μm) (see Fig. 2A, B). For Sham, animals underwent the same procedures, but without SCI. Following surgeries, muscle, fascia, and skin were closed with 6–0 monofilament sutures. Postoperative treatments included twice daily monitoring and post-operative injection of 0.9% saline solution (3.0 ml sc) and Baytril (0.3 ml, 3.5 mg/kg).

Figure 2.

Figure 2

AAV9CMVCre mediated Rac1 KO does not impair recovery after SCI. (A, B) Biomechanical impact data provided by the Infinite Horizon impactor demonstrates that SCI Rac1−/− and SCI control groups received consistent injuries. (C) Blinded observers performed BMS testing at baseline, and weekly following SCI (Wk1-Wk4). Both SCI Rac1−/− and SCI control groups recovery equally over a 4-week period. (D) Representative video-still image of paw prints used for stepping pattern analysis acquired and analysis using the CatWalkXT (Noldus Information Technology). (E) Intensity plot of the left hind paw (virally injected side) acquired using the CatWalkXT (Noldus Information Technology) from an SCI animal four weeks post injury. (F) Four weeks after SCI, both SCI Rac1−/− and SCI control groups have a gait pattern (regularity index) similar to baseline testing. (G) Swing speed of the right (RH) and left (LH) hind limbs of SCI Rac1−/− and SCI group. Post SCI and viral injection there was no difference between hindlimb swing speed and compared to baseline. (* = p < 0.05). Graphs are mean ± SEM.

Behavioral assays

To validate equivalent injury across SCI animals and assess whether AAV9CMVCre injection had an effect on overall locomotor ability, blinded investigators monitored animals using the Basso Mouse Scale (BMS)24. Each hindlimb was scored separately and averaged together per animal. The BMS grades locomotor function with 0 to 9 scores: 0 indicates complete paralysis of the hindlimbs; 9 indicates normal locomotor ability. Following baseline BMS measurements, animals with SCI were scored weekly and the average score in each week compared across groups. To further assess function, we used the CatWalkXT (Noldus Information Technology) system to assess kinematic function. Three runs across the walkway were averaged for each animal and compared across groups.

Adeno-associated virus (AAV) intramuscular injection

Commercially available AAV9CMVCre (Iowa-1066) was purchased from the Gene Transfer Vector Core (lowa University). Intramuscular injections followed a previously described method25. Briefly, animals were anesthetized with isoflurane 1–3% and the left soleus and gastrocnemius muscle was exposed by a skin incision. Undiluted 2.5 × 1013 vg/ml AAV9CMVCre was injected into muscle tissue using a Hamilton syringe and 32-gauge 45-degree beveled needle. For optimal motor neuron infection yield, injections were repeated once daily for 3 days (total volume of 8–10 ul at 5 locations into the soleus/gastrocnemius tissue). Following injections, the skin incision was closed with 6–0 monofilament sutures.

EMG H-reflex testing

We anesthetized animals with an induction dose of ketamine and xylazine (100/10 mg/kg, i.p.) and maintained on ketamine alone (20 mg/kg, i.p.)26,27. To record electromyogram (EMG) data, which included the muscle response (M wave) and the monosynaptic reflex (H reflex), we used a percutaneous needle preparation5,2831. This minimally invasive procedure is analogous to methods used to study H-reflex in humans31,32. This method also permitted longitudinal study and maintained tissue integrity for histology at experimental endpoint.

For stimulation, a pair of Teflon insulated stainless steel wire electrodes (0.002″ diameter; A-M Systems, Inc., Carlsborg, WA) were threaded into a 32 G syringe needle. The wire ends were bent into sharp barbs. The insulation was removed with heat (exposed tips ~ 1 mm), and the needle/wire was then transcutaneously inserted with the tip in close proximity to the tibial nerve. The needle was retracted and the wire remained in place. A second electrode was inserted similarly ~ 2 mm away from the first electrode21,26,27. Stimulating electrode placement was adjusted until square wave stimulating pulses (0.2 ms duration given at a rate of 1 every 3 s) elicited visible motor twitch responses, i.e., plantar flexion28,29. To record EMG data (e.g., plantar reflex), an electrode was inserted into the plantar muscles within the hindpaw palmar/ventral surface, proximal to the ankle. A reference electrode was placed subcutaneously in the dorsolateral surface of the hind paw. These reflexes were chosen based on our pilot experiments and previous work that demonstrated EMG reflex response evoked in these muscles could be reproducibly recorded after SCI33. Moreover, plantar reflexes provide an established read out of reflexes elicited in other hind limb muscles, i.e., tibialis anterior and gastrocnemius, innervated by L4 and L5 nerves28,29. EMG responses were filtered, amplified, and analyzed offline using Spike 2 software (version 7.08; CED Software, Cambridge, UK). Threshold (T) was defined as the minimum intensity required for an M-wave response ~ 50% of the time. We used a stimulation intensity that produced consistent M- and H-wave responses (~ 1.4–1.8 T). To measure rate-dependent depression (RDD) of the H-reflex, we applied a paired-pulse stimulation paradigm: a control pulse and test pulse (0.2msec square) separated by a range of interpulse intervals (10–2000 ms). Three trials (10 sweeps/trial) were recorded for each interpulse interval. We quantified the M and H wave amplitudes from rectified and averaged waveforms8,34. For comparisons, the maximum amplitudes of the H and M response to the test pulse were converted into a percentage of the maximum amplitude response to the control pulse (test/control × 100). M and H waveforms were measured from baseline-to-peak amplitude. We calculated the H/M ratio using maximum amplitude of M-wave and H-reflex responses from the test pulse. All H-reflex testing was performed acutely (i.e., recordings lasted < 1 h per animal), and we ensured that all animals underwent similar H-reflex testing protocols.

Immunohistochemistry and image analysis

At experimental endpoint, 4-weeks post-SCI/Sham surgery, all mice were euthanized under anesthesia (100/10 mg/kg, i.p.) via intracardial perfusion with ice cold phosphate buffered saline followed by 4% paraformaldehyde (PFA; 0.01 M PBS). Lumbar enlargement spinal cord tissue (L4-L5) were removed and post-fixed in 4% PFA at 4 °C overnight. For cryoprotection, we submerged tissue in 30% sucrose for ~ 48 h. 20 µm thick tissue sections were cut on a cryostat (Leica; Bannockburn, IL) and mounted on Superfrost + slides (Fisher Scientific; Pittsburg, PA). For immunohistochemistry, sections were blocked for 1 h at 25 °C in 4% normal donkey serum, 2% bovine serum albumin; 0.1% Triton-X100; 0.02%, 0.01 M PBS. Tissue was incubated in primary antibodies using our published protocols34,35 and included: rabbit anti-IBA1 1:500 (Abcam, ab178846), chicken anti-GFAP 1:500 (Abcam, ab4674), and rabbit anti-ChAT 1:200 (Millpore, AB143). Secondary antibodies included donkey anti-rabbit 647 (Jackson Labs, 711-496-152) and donkey anti-chicken 594 (Jackson Lab, 703-585-155). Immunofluorescent Z-stack images were captured with similar acquisition settings across groups using a confocal microscope (A1R, Nikon).

Tissue image analysis was conducted by blinded investigators using Image J software (National Institutes of Health free download: http://rsbweb.nih.gov/ij/). All AAV9CMVCre infected neurons expressed tdTomato-reporter. IBA1 and GFAP expression was analyzed from spinal cord tissue sections with tdTomato-reporter expressing motor neurons. Z-stack images were compiled into a single plane. Threshold-adjusted levels of IBA1 and GFAP immunoreactivity with subtracted background was compared across SCI groups as a percentage (%) of positive-pixel area to the total measured area of the ventral horn. AAV infection of lumbar motor neurons was confirmed by choline acetyltransferse (ChAT) immunolabeling36,37. To calculate the yield of viral-infected motor neurons in the ipsilateral injected and contralateral side, we measured the number tdTomato-expressing motor neurons co-labelled with ChAT. We report this data as a percentage (%) of the total number of ChAT-immunopositive motor neurons within the sampled spinal cord tissue sections (n = 10 tissue sections/side).

Dendritic spine analysis

Investigators blind to treatment conditions performed all dendritic spine image analyses. Florescent tdTomato reporter expression in viral-infected motor neurons permitted the quantification of dendritic spines. Z-stack image volumes were acquired from tissue sections with an 0.2 microns step size using a Andor Dragonfly spinning disc confocal microscope (Andor Technology) using Andor iXon Ultra 888 electron multiplying charge coupled camera and Plan Apo Lambda 60 × (NA, 1.4) oil objective (Nikon Instruments). To identify α-motor neurons, we followed a screening workflow based on data from our previous study and others21,33,34,37. Alpha-motor neurons were identified based on their location in ventral horn Rexed lamina IX, had soma diameters > 25 μm, and cell body cross-sectional areas > 450 μm221. As a refinement step for analysis a priori, we only included α-motor neurons for analysis that had a visible cell body and with greater than one dendritic branch. Three-dimensional (3D) traces of identified α-motor neurons were generated in Neurolucida 360 with the software’s user-guided tracing protocol (MicroBrightfield, Williston, VT). To ensure consistency, we traced dendritic branches visibly connected to the motor neuron cell body. To determine if there were any morphological differences across sampled neurons, we used Neuroexplorer (MicroBrightfield, Williston, VT) to measure cell body surface area, maximum and minimum cell body diameter, and the total dendritic branch lengths in each treatment group. We observed no differences in these morphological values across groups.

On 3D reconstructed α-motor neurons, we marked the location of dendritic spines on each dendritic branch. As previously described21,38, we defined a dendritic spine neck as the structure juxtaposed between the dendrite branch and the spine head base, which appears as a bulb-shaped structure. Thin- and mushroom-shaped spines were classified separately: thin spines had head diameters that were less than or equal to the length of the spine neck, whereas mushroom spines had spine head diameters that were greater than the length of the spine neck. Classification into only thin- and mushroom-spines allowed us to use simple, but strict rules in classifying spine morphology. Although this prevented measurement of subtle variations in spine shape, this method permitted collection of a large sample size. Moreover, the physiological impact of thin and mushroom spine shapes on neuronal and circuit physiology is well-described10,16,39. Dendritic spine density was expressed as spine number per μm of dendrite length. We used a Sholl analysis to assess changes in dendritic spine distribution relative to the cell body15,21. Dendritic spine density within proximal (0–40 μm), medial (40–80 μm), and distal (80–120 μm) regions from the cell body were averaged within each group and compared across groups. To quantify overall dendritic spine size, we measured spine length and head width. Spine length was defined as the distance from dendrite to the tip of the spine head. Whereas, spine head width was defined as the maximum diameter of the spine head.

Statistical analysis

All statistical tests were performed at the α-level of significance of 0.05 by two-tailed analyses using parametric or nonparametric test, as appropriate. Normality assumptions of each data set was determined using a Shapiro–Wilk test. We used one-way ANOVA or Kruskal–Wallis one-way ANOVA on ranks followed by post hoc tests to correct for repeated measure error, i.e., Dunn or Bonferroni tests. Data management, statistical analyses and graph generation were performed using Sigmaplot 13.0 (Systat) and Microsoft Office Excel (2018). All data is described as mean ± SEM (graphs and text).

Ethics approval

Experiments were performed in accordance with the National Institutes of Health Guidelines for the Care and Use of Laboratory Animals and in compliance with ARRIVE guidelines. All animal protocols were approved by the Yale University/Veterans Affairs Institutional Animal Use Committee.

Consent for publication

All authors consent publication.

Results

Conditional Rac1 knockout does not impair gross locomotor recovery following mild SCI

To validate equivalent SCI severity across experimental groups (Fig. 1), we analyzed impact data from the Infinite Horizon device, i.e., applied impact force and maximum spinal cord displacement (Fig. 2A, B). Applied impact force predicts the amount of tissue sparing in this model, and correlates with locomotor outcome40. In SCI cohorts, we observed no difference in applied impact force across control SCI and experimental SCI (Rac−/−) groups (p > 0.05; SCI vs. SCI Rac−/−; 51.8 ± 0.7 vs. 51.2 ± 0.4 kDyn; ANOVA on ranks) (Fig. 2A). Similarly, we observed no difference in maximal spinal cord displacement (e.g., maximum depth of the impactor rod during contusion) between groups (p > 0.05; SCI vs. SCI Rac1−/−; 616.7 ± 50.8 vs 552.7 ± 40.6; one-way ANOVA) (Fig. 2B).

To determine whether AAV9CMVCre injection had an effect on locomotor ability, we used the BMS open-field testing paradigm24. Following baseline BMS measurements, SCI animals (from both wildtype or Rac1−/− groups) were scored weekly and the average score in each week compared across groups (Fig. 2C). In addition, the BMS score for the left and right hindlimbs were averaged for each animal, as there was no statistical difference between sides. One-week post-SCI, prior to injection of AAV9CMVCre, there was no difference in BMS scores between SCI groups with animal displaying ankle movement and some non-weight supported stepping (p > 0.05; SCI vs. SCI Rac1−/− 2.9 ± 1.0 vs 3.5 ± 0.9 BMS Score, Rank Sum Test) (Fig. 2C). Even after intramuscular injection of AAV9CMVCre, we also observed no effect on gross locomotor function four-weeks after SCI, with both groups able to perform coordinated stepping (p > 0.05 SCI vs SCI Rac1−/−; 6.8 ± 0.3 vs. 7.0 ± 0.4; one-way ANOVA). In addition, we analyzed the animals stepping pattern (Fig. 2D–G) using the CatWalk system. In CatWalk analyses four-weeks after SCI (Fig. 2D–G), we observed no difference in gait pattern and hindlimb swing speed, (p > 0.05; regularity index: baseline vs. SCI vs. SCI Rac1−/−, 94.4 ± 3.1 vs. 87.4 ± 4.8 vs. 97.6 ± 0.6; hindlimb swing speed: baseline RH vs. baseline LH vs. SCI RH vs. SCI LH vs. SCI Rac1−/− RH vs. SCI Rac1−/− LH, 71.2 ± 6.9 vs. 71.7 ± 8.3 vs. 53.2 ± 2.4 vs. 55.0 ± 3.3 vs. 58.0 ± 3.4 vs. 58.3 ± 4.5 cm/s: p > 0.05; one-way ANOVA with Bonferroni's post hoc test) (Fig. 2F, G). Indicating that AAV9CMVCre did not have a lateralized effect on gross motor function.

Intramuscular AAV injection transfects ipsilateral motor neurons

To calculate infection yield of motor neurons, we measured the number tdTomato-expressing neurons co-labelled with ChAT within the ipsi- or contralateral spinal cord tissue sections sampled (n = 13 animals; 10 sections/animal) (Fig. 3). Three-weeks following intramuscular injections of AAV9CMVCre into the soleus/gastrocnemius tissue, we observed a transduction rate of 51.2% (range 24.7–77.6%) of ChAT positive ventral horn motor neurons in lamina IX (Fig. 3D). We did not observe any contralateral motor neurons expressing tdTomato reporter with ChAT co-labelling (Fig. 3D).

Figure 3.

Figure 3

Intramuscular injection of AAV9CMVCre leads to expression of tdTomato in ventral spinal cord motor neurons. (A) ChAT positive motor neurons within lamina IX of the spinal cord. (B) AAV9CMVCre transfected motor neurons expressing tdTomato. (C) Merged image of (A) and (B) shows colocalization of ChAT positive neurons and tdTomato expression (arrow shows inset *). (D) The percentage of ChAT labelled motor neuron expressing tdTomato in the ventral horn of the spinal cord. AAV9CMVCre intramuscular injection tranfects 51.2% of ChAT-positive neurons in lamina IX on the ipsilateral injected side (Ipsi-). On the contralateral side (Contra-) there was no co-labelling between ChAT motor neurons and tdTomato expression. Data shown as scatterplot with mean. Scale bar in (A) = 50 µm and applies to images in (B) and (C).

Rac1 knockout in spinal motor neurons does not affect the glial inflammatory response

To determine whether Rac1 KO affected microglia or astrocyte reactivity following injury, we measured expression levels of IBA1 and GFAP immunoreactivity, e.g., microglia or astrocyte markers, respectively, in the spinal cord ventral horn (Fig. 4A–F). We observed no difference in the percent area immunolabelled for IBA1 or GFAP between SCI controls and SCI with conditional Rac1 knockout in motor neurons (P > 0.05; IBA1: SCI vs. SCI Rac1−/−, 9.0 ± 0.7 vs. 9.0 ± 1.1% area, and GFAP, 15.3 ± 6.5 vs. 17.0 ± 5.6% area; one-way ANOVA) (Fig. 4C, F). Several studies have reported that intravenously administered AAV9 can infect astrocytes due to bioavailability through the vascular route41,42. However, in pilot studies we calibrated our AAV injection protocol to restrict viral exposure through low volume intramuscular injections43. As a result, we observed close-to-none GFAP-positive cells expressing tdTomato (data not shown). Similarly, in agreement with other work, we observed no overlap between tdTomato expression and IBA1, demonstrating that AAV9CMVCre did not have affinity for microglia44,45.

Figure 4.

Figure 4

Conditional Rac1 KO in alpha-motor neurons did not alter microglia or astrocyte reactivity in the ventral horn. (A, B) IBA1 immunolabelling for microglia in the ventral horn of the spinal cord in SCI animals with (A) Rac1 or (B) Rac1 KO in alpha motor neurons. (C) No difference in the percent area labelled for IBA1 between SCI and SCI Rac1−/− groups. (D, E) Image of GFAP immunolabelling for astrocytes in the ventral horn of the spinal cord from animals with (D) Rac1 or (E) Rac1 KO in alpha motor neurons. (F) There was no difference in the percent area labelled for GFAP between SCI and SCI Rac1−/− groups. Graphs are Mean ± SEM; Scale bar in (A) and (D) = 50 µm and applies to images in (B), and (E).

Viral-mediated Rac1 knockout reduces H-reflex hyperexcitability after SCI

To determine whether Rac1 disruption could reduce hyperreflexia after SCI, we performed longitudinal EMG recordings to measure changes in evoked M- and H-reflex response. Under normal conditions, evoked H-reflex response exhibits rate-dependent depression (RDD), whereby increased activity reduces the overall reflex output. In diseases and injuries associated with spasticity, however, H-reflex exhibits a loss of RDD8,26,29. In SCI, reduced H-reflex RDD (physiologically measured through %H-reflex response and H/M ratio) is an electrophysiological and clinical diagnosis of spasticity6,4648.

To measure H-reflex and M-wave responses, we stimulated the tibial branch of the sciatic nerve and recorded from the plantar muscle21. To elicit the H-reflex, we used a paired-pulse stimulation protocol consisting of a control and test pulse, separated by a range of interpulse intervals (5–2000 ms). To quantify evoked H-reflex response, we calculated the %H reflex in each group by measured and normalized the maximum amplitude of the H-reflex response (evoked from the test pulse) with the maximum amplitude of the H-reflex (evoked by the control pulse) (Fig. 5D).

Figure 5.

Figure 5

Enhanced H-reflex response 1-week after SCI. To confirm the development of hyperreflexia after SCI, we measured the H-reflex response using a paired-pulse paradigm (stimulating interpulse intervals 5–2000 ms). (A, B) % H-reflex and % M-wave are normalized values of the test pulse compared to the control pulse. (A) In Sham animals, shorter interpulse intervals are associated with less %H-reflex, demonstrating RDD. After SCI there was significant increase in the %H-reflex at 10, 50, 100 and 2000 ms interpulse intervals (* = p < 0.05). (B) There was no significant difference in %M-wave response between Sham and SCI. (C) H/M ratio was calculated by comparing peak amplitude of the test pulse evoked H- and M-wave response. H/M ratio in Sham produced a greater linear regression slope as compared to SCI, e.g., shallow slope. (D) SCI significantly increased the H/M ratio at 10 and 100 ms compared to Sham (* = p < 0.05). Graphs are mean ± SEM.

One week after SCI or Sham, and before AAV9CMVCre injection (see design; Fig. 1), mice underwent EMG testing to confirm the presence of hyperreflexia, e.g., loss of RDD. As expected, SCI resulted in a loss in RDD compared to Sham (Fig. 5). We observed an increase in %H-reflex in SCI mice at 10, 50, 100, 2000 ms interpulse intervals compared to Sham, representing a loss of RDD and increased spinal reflex excitability (P < 0.05; sham vs. SCI at 10 ms 53.1 ± 5.1 vs. 79.8 ± 4.2%; at 50 ms: 38.1 ± 7.0 vs. 60.8 ± 5.0%; at 100 ms: 38.2 ± 4.9 vs. 60.8 ± 5.8%; 2000 ms: 52.6 ± 2.2 vs. 76.8 ± 3.2; one-way ANOVA with Bonferroni's post hoc test) (Fig. 5A). There was no difference in %M-wave at any interpulse interval between Sham and SCI animals 1 week after surgery (sham vs. SCI; at 5 ms: 32.8 vs. 86.7%; at 10 ms: 73.4 ± 7.7 vs. 62.8 ± 2.3; at 50 ms: 56.8 ± 8.8 vs. 73.2 ± 16.3; at 100 ms: 53.7 ± 6.0 vs. 50.9 ± 1.3; at 150 ms: 52.0 ± 3.8 vs. 56.0 ± 4.0; at 300 ms: 56.0 ± 2.7 vs. 53.7 ± 2.5; at 500 ms: 57.8 ± 3.4 vs. 52.5 ± 1.0; at 1000 ms 57.0 ± 3.1 vs. 53.7 ± 1.3; at 2000 ms 62.6 ± 4.5 vs. 68.4 ± 4.2; one-way ANOVA with Bonferroni's post hoc test)(Fig. 5B). Across the range of paired interpulse intervals, H/M ratio in Sham produced a steeper slope than compared with SCI animals (linear regression slope value, 0.04 vs. -0.01, respectively), demonstrating an increase in post-SCI reflex excitability (Fig. 5C). Additionally, SCI animals had a statistically greater H/M ratios at the 10 and 100 ms interpulse intervals (P < 0.05; Sham vs. SCI; 10 ms; 0.79 ± 0.08 vs. 1.32 ± 0.08; 100 ms: 0.8 ± 0.1 vs. 1.3 ± 0.2; 1000 ms: 1.03 ± 0.05 vs. 1.12 ± 0.06 H/M ratio; ANOVA on ranks) (Fig. 5C, D). Importantly, we did not observe differences in H-reflex function in SCI animals between either wild-type or “floxed” Rac1 animals (prior to AAV9CMVCre injection) (data not shown). This confirmed that transgenic “floxed” Rac1 mice develop a similar hyperreflexia profile to wild-type animals following SCI (i.e., in the absence of cre-recombinase expression).

To assess the effect of conditional Rac1 knockout in alpha-motor neurons, we tested H-reflex responses in the same animals at 3 weeks after intramuscular injection of AAV9CMVCre (Fig. 6). At this post-injection timepoint, control SCI animals continued to display an exaggerated %H-reflex at the shorter 5, 10, 50 and 100 ms interpulse intervals compared to Sham (Fig. 6D). In contrast, 3 weeks after AAV9CMVCre injection in mice with floxed Rac1, EMG recordings demonstrated closer-to-normal %H-reflex that were similar to Sham, indicating a partial restoration of RDD and attenuated hyperreflexia (p < 0.05; Sham vs. SCI vs. SCI Rac1−/−; 5 ms: 3.4 ± 0.4 vs. 83.9 ± 5.0 vs. 24.7 ± 13.1; 10 ms: 44.5 ± 4.0 vs. 71.0 ± 4.2 vs. 53.7 ± 4.1; 50 ms: 36.4 ± 4.9 vs. 54.6 ± 4.1 vs. 38.3 ± 4.0; 100 ms: 42.1 ± 2.3 vs. 59.2 ± 5.3 vs. 41.5 ± 4.2%; 150 ms: 53.2 ± 3.7 vs. 57.9 ± 3.3 vs. 42.3 ± 2.6; 1000 ms: 52.2 ± 4.0 vs. 63.5 ± 3.0 vs. 48.5 ± 3.6 H-reflex; one-way ANOVA with Bonferroni's post hoc) (Fig. 6D). %M-wave was similar across groups, with only minor differences at 300 ms and 500 ms interval (p < 0.05; Sham vs. SCI vs. SCI Rac1−/−; 300 ms: 62.8 ± 5.1 vs. 51.0 ± 1.2 vs. 50.5 ± 1.8; 500 ms: 55.5 ± 4.4 vs. 52.4 ± 1.1 vs. 48.4 ± 1.8%M-wave; ANOVA on ranks with Dunn’s post hoc) (Fig. 6E).

Figure 6.

Figure 6

Disruption of Rac1 in alpha-motor neurons attenuates hyperreflexia after SCI. Representative test pulse traces of stim evoked H- and M-wave responses in (A) Sham, (B) SCI, and (C) SCI Rac1−/−. (A) Note that in Sham animals, as the interpulse intervals increases (10–1000 ms) between the test and control pulse, the amplitude of the H-response increase. (B) In contrast, SCI produces an exaggerated H-response at short (10 ms) interpulse intervals. (C) SCI Rac1−/− restores H-response depression at the short (10 ms) interpulse intervals. (D) After SCI there was a significant increase in %H-reflex at 5, 10, 50 and 100 ms interpulse intervals compared to Sham, indicating a loss of RDD (* = p < 0.05). SCI Rac1−/− animals had reduced %H-reflex at 10, 50, 100, 150 and 1000 ms interpulse intervals compared to control SCI animals, suggesting a restoration of RDD (# = p < 0.05). (E) %M-wave was mostly similar across the three groups with small, but significant differences between Sham and SCI at 300 ms interpulse interval (* = p < 0.05) and between Sham and SCI Rac1−/− at 500 ms interpulse interval (§ = p < 0.05). (F) SCI increased H/M ratio as demonstrated as stable linear trend line. Whereas, SCI Rac1−/− animals displayed a closer-to-normal H/M ratio, with a steeper linear trend line. G) SCI increased the H/M ratio at 10 and 100 ms compared to sham, indicating a loss of RDD (* = p < 0.05). Graphs are mean ± SEM.

In measures of H/M ratio, we continued to observe the loss of RDD in control wildtype SCI animals 3-weeks post-AAV9CMVCre injection, as compared with Sham (linear regression slope, 0.05 vs 0.08, respectively) (Fig. 6F). In contrast, conditional Rac1 KO with AAV9CMVCre injection in SCI animals resulted in a sharper H/M ratio slope, similar to Sham (linear regression slope, 0.05). Specifically, the H/M ratio at 10, 100 and 1000 ms interpulse intervals revealed that SCI in wildtype controls resulted in a significant increase in H/M ratio that was partly restored by conditional Rac1 KO in spinal motor neurons (p < 0.05; Sham vs. SCI vs. SCI Rac1−/−; 10 ms: 0.7 ± 0.1 vs. 1.1 ± 0.1 vs. 0.9 ± 0.1; 100 ms: 0.7 ± 0.1 vs. 1.1 ± 0.1 vs. 0.9 ± 0.1; 1000 ms: 0.9 ± 0.1 vs. 1.1 ± 0.1 vs. 1.0 ± 0.1 H/M ratio; one-way ANOVA with Bonferroni's post hoc test) (Fig. 6F, G).

Conditional Rac1 knockout reduces dendritic spine dysgenesis in alpha-motor neurons

Dendritic spine dysgenesis accompanies hyperexcitability disorders, e.g., pain and spasticity, as a result of injury and disease17,21,4951. To assess the development of dendritic spine dysgenesis, we profiled dendritic spines in AAV9CMVCre-infected motor neurons expressing fluorescent tdTomato reporter. A total of 38 alpha-motor neurons were identified and sampled using inclusion criteria and reconstructed in the Neurolucida 360 environment (see Methods). To ensure equivalent sampling across treatment groups, we compared other cellular morphologies, which showed no differences across groups (p > 0.05; Sham vs. SCI vs. SCI Rac1−/−, cell body area: 580 ± 84.6 vs. 684.8 ± 70.6 vs. 544.4 ± 49.6 µm2; cell body max diameter: 39.1 ± 2.6 vs. 40.5 ± 3.0 vs. 35.8 ± 2.1 µm; cell body min diameter: 21.4 ± 2.3 vs. 25.8 ± 1.4 vs. 22.1 ± 1.1 µm; total dendritic length: 230.3 ± 17.0 vs. 373.2 ± 55.5 vs. 216.9 ± 34.6 µm; ANOVA on ranks with Dunn’s post hoc) (Table 1). Thus, any changes in dendritic spine morphology were likely not due to differences in sampling. At final endpoint, 4-weeks post-SCI or Sham surgery, a total of 1,518 dendritic spines were measured and analyzed by blinded investigators (Sham, n = 344 spines; SCI, n = 806; SCI Rac1−/−, n = 368 spines) (Table 1).

Table 1.

Cell body dimensions and dendritic branch length of sampled tdTomato expressing spinal motor neurons.

Cell body area (µm2) Cell body max diameter (µm) Cell body min diameter (µm) Total dendritic diameter (µm)
Sham 580 ± 84.6 39.1 ± 2.6 21.4 ± 2.3 230.3 ± 17.0
SCI 684.8 ± 70.6 40.5 ± 3.0 25.8 ± 1.4 374.2 ± 55.5
SCI Rac1−/− 544.4 ± 49.6 35.8 ± 2.1 22.1 ± 1.1 216.9 ± 34.6

We analyzed the density of total-, thin- and mushroom-shape dendritic spines in alpha-motor neurons of SHAM, SCI and SCI Rac1−/− animals (Fig. 7A). Although SCI did not significantly change total spine density as compared with Sham (p > 0.05; Sham vs. SCI; 0.1 ± 0.01 vs. 0.2 ± 0.01 spines/µm; one-way ANOVA), viral-mediated conditional Rac1 KO in SCI animals significantly decreased total spine density in alpha-motor neurons (P < 0.05; SCI vs. Rac1−/−; 0.2 ± 0.01 vs. 0.1 ± 0.01 total spines/µm; one-way ANOVA with Dunn’s post hoc test) (Fig. 7B). We observed no change in thin-shaped spine density across any comparator group (p > 0.05; sham vs. SCI vs. Rac1−/−; 0.12 ± 0.01 vs. 0.13 ± 0.01 vs. 0.11 ± 0.01 thin spines/µm; one-way ANOVA) (Fig. 7C). Mushroom-shaped spine density significantly increased following SCI as compared with Sham or conditional Rac1 KO SCI animals (p < 0.05; Sham vs. SCI; 0.01 ± 0.002 vs. 0.02 ± 0.004 mushroom spines/µm; SCI vs. Rac1−/−: 0.02 ± 0.004 vs. 0.004 ± 0.002 mushroom spines/µm; one-way ANOVA with Dunn’s post hoc test) (Fig. 7D).

Figure 7.

Figure 7

Conditional Rac1 KO in alpha-motor neurons reduces abnormal dendritic spine morphology associated with SCI and hyperreflexia. Analysis of dendritic spine profiles reveals differences in (BD) spine density and (EF) distribution. (A) Reconstructed dendritic segments from tdTomato filled spinal motor neurons showing apparent differences in dendritic spine profile between Sham, SCI and SCI Rac1−/− (arrow denotes spine). (B) Total spine density, which includes all spines, was significantly lower in the SCI Rac1−/− compared to control (* = p < 0.05). (C) There was no difference in the density of thin-shaped spines between groups. (D) SCI induced a significant increase in mushroom spine density compared to Sham (* = p < 0.05). In contrast, SCI Rac1−/− reduced mushroom spine density compared to SCI (* = p < 0.05). (EG) Assessment of dendritic spine density within the (E) proximal (0–40 µm), (F) medial (40–80 µm) and (G) distal (80–120 µm) dendritic branches of tdTomato filled motor neurons. (E, G) Dendritic spine density was not different within the proximal or distal region between Sham, SCI and SCI Rac1−/−. (F) SCI induced an increase in mushroom spine density in the medial region, which was not observed in SCI Rac1−/− animals (# = p < 0.05). Graphs are mean ± SEM. Scale bar in (A) = 10 µm.

To investigate changes in the spatial distribution of dendritic spines, we used a Sholl analysis and compared spine densities at three distinct regional distances relative to the soma: proximal (0–40 µm), medial (40–80 µm) and distal (80–120 µm) (Fig. 7E–G). Here, we observed no difference in the spatial distribution of total spine densities (p > 0.05; total spine density, Sham vs. SCI vs. SCI Rac1−/−, proximal: 0.28 ± 0.05 vs. 0.40 ± 0.06 vs. 0.32 ± 0.04 total spines/µm; medial: 0.55 ± 0.07 vs. 0.48 ± 0.07 vs. 0.51 ± 0.06 total spines/µm; distal: 0.45 ± 0.1 vs. 0.52 ± 0.1 vs. 0.31 ± 0.08 total spine/µm; one-way ANOVA), or thin-shaped spine densities in the proximal, medial, or distal regions (p > 0.05; thin spine density; Sham vs. SCI vs. SCI Rac1−/−; proximal: 0.25 ± 0.05 vs. 0.35 ± 0.06 vs. 0.30 ± 0.03 thin spines/µm; medial: 0.50 ± 0.07 vs. 0.40 ± 0.07 vs. 0.50 ± 0.06 thin spines/µm; distal: 0.4 ± 0.1 vs. 0.4 ± 0.1 vs. 0.3 ± 0.1 thin spines/µm; one-way ANOVA) (Fig. 7E–G). Interestingly, mushroom-shaped spine densities increased in the medial region (i.e., 40–80 µm dendritic region relative to the soma) after SCI (Fig. 7F). Within this region, AAV9CMVCre infected alpha-motor neurons had significantly decreased mushroom spine density as compared to neurons in control SCI wildtype (p < 0.05; Sham vs. SCI vs. Rac1−/−, medial: 0.04 ± 0.01 vs. 0.08 ± 0.02 vs. 0.01 ± 0.01 mushroom spines/µm; ANOVA on ranks with Dunn’s post hoc) (Fig. 7F).

Dendritic spine size and shape regulate synaptic efficacy and can strongly influence neuronal excitability16,52,53. To determine whether conditional Rac1 KO could reverse SCI-induced changes in dendritic spine size, we measured spine length and head width of 1,518 spines from 38 neurons across Sham, SCI, and SCI Rac1−/− groups. As shown in Fig. 8, SCI increased the length of total- and thin-shaped spines, as compared with Sham (p < 0.05; Sham vs. SCI vs. SCI Rac1−/−, total spines 1.07 ± 0.05 vs. 1.6 ± 0.1 vs. 1.2 ± 0.1 µm; thin spines: 1.04 ± 0.05 vs. 1.6 ± 0.1 vs. 1.2 ± 0.1 µm; ANOVA on ranks with Dunn’s post hoc) (Fig. 8A, B). Conditional Rac1 KO resulted in no difference in the length of total- and thin-shaped spines as compared to Sham (Fig. 8A, B). On the other hands, conditional Rac1 KO significantly reduced in the length of mushroom-shaped spines as compared to control SCI (p < 0.05; Sham vs. SCI vs. SCI Rac1−/−, mushroom spines: 1.4 ± 0.1 vs. 1.9 ± 0.2 vs. 1.0 ± 0.2 µm; one-way ANOVA with Bonferroni post hoc) (Fig. 8C). In control SCI, spine head width for total- and thin-shaped spines increased compared to Sham (Fig. 8D, E). In contrast, conditional Rac1 KO in motor neurons decreased spine head width associated with SCI for total-spines, thin-, and mushroom-shaped spines (p < 0.05; Sham vs. SCI vs. SCI Rac1−/−, total spines: 0.64 ± 0.04 vs. 1.2 ± 0.1 vs. 0.65 ± 0.05 µm; thin spines: 0.58 ± 0.03 vs. 1.1 ± 0.1 vs. 0.64 ± 0.05 µm; mushroom spines: 1.2 ± 0.2 vs. 1.7 ± 0.1 vs. 0.7 ± 0.1; one-way ANOVA with Bonferroni post hoc) (Fig. 8 D-F).

Figure 8.

Figure 8

Conditional Rac1 KO normalizes dendritic shape on alpha-motor neurons after SCI. Analysis if dendritic spine (AC) length and (DF) spine head width. (A, B) SCI increased the length of total (all spines) and thin-shaped spine compared to Sham (* = p < 0.05). (C) Mushroom-shaped dendritic spines were significantly shorter in SCI Rac1−/− compared to control SCI (* = p < 0.05). (D, E) SCI resulted in a significant increase in spine head width for total and thin-shaped spines, which was not seen in the SCI Rac1−/− group (* = p < 0.05). (F) SCI Rac1−/− decreased the width mushroom-shaped spines compared to control SCI (* = p < 0.05). Graphs are mean ± SEM.

Discussion

Emerging evidence from our group and others has revealed a common structural motif of dendritic spine dysgenesis associated with neuronal hyperexcitability after SCI and nerve injury14,15,21,54,55. In nociceptive dorsal horn neurons, this motif is conserved in multiple models of pain14,15,5557. In the present study, we report the first evidence demonstrating that viral-mediated conditional Rac1 knockout reduces dendritic spine dysgenesis in alpha-motor neurons and attenuates reflex hyperexcitability associated with spasticity after SCI.

Spasticity after SCI is a symptom of over-activity within the spinal stretch reflex circuit, e.g., H-reflex, and has been investigated in multiple SCI models6,58. To investigate the relationship between dendritic spine morphology and spasticity, we assessed the efficacy of disrupting Rac1 expression in spinal cord motor neurons after SCI. We performed a contusion SCI at spinal segment L2, a location that may replicate human lower thoracic-level SCI, and permits H-reflex testing of hindlimb musculature1,6,59. All animals with SCI presented with spasticity one-week after injury, exhibiting reduced RDD and increased evoked H-reflex responsiveness. Following viral-mediated expression of Cre recombinase in Rac1 “floxed” mice, we observed a reduction of hyperreflexia following SCI. Analysis of infected motor neurons expressing tdTomato reporter demonstrated that conditional Rac1 knockout also reduced overall dendritic spine density, specifically mushroom spine density, attenuated spine length and head width; and partially reversed abnormal spine distribution. Collectively, these anatomical findings demonstrate that Rac1 in spinal cord alpha-motor neurons contribute to dendritic spine dysgenesis associated with SCI-induced hyperreflexia.

Dendritic spine morphology is related to synaptic and neuronal activity and thus can provide a visual readout of neuronal function11,60. In healthy humans and rodents adaptive plasticity between sensory afferents and motor neurons can influence H-reflex function46,61, however after spinal cord injury maladaptive plasticity can contribute to uncontrolled H-reflex activity and spasticity3,6. In agreement, we observed SCI-induced changes in the density of thin and mushroom shaped dendritic spine on α-motor neurons four-weeks after injury, this was accompanied by loss of RDD and an increase in % H-reflex at short interpulse intervals. Importantly, SCI induced minimal changes in M-wave response, indicating that abnormal RDD and H/M ratios were largely due to mechanisms related to the dysfunction in the motor reflex monosynaptic circuit. Our data further confirms previous evidence in multiple disease models that dendritic spine dysgenesis can serve as a morphological correlate of dysfunctional neuronal activity16,21,51,55,62.

Our findings raise the question of how altered dendritic spine morphologies after SCI could directly contribute to hyperexcitable spinal reflex function. Interestingly, the monosynaptic spinal stretch reflex (i.e., H-reflex) operates through classical operant conditioning principles, e.g., a “memory engram” that regulates spinal reflex function6365. In this context, the relationship between dendritic spine morphology and postsynaptic excitability has been well-studied in the field of learning and memory66. Following long-term potentiation (LTP) induction in hippocampal CA3–CA1 synapses, postsynaptic neurons exhibit an increase in dendritic spine number and volume. These late-phase LTP structural changes contribute to enhancing synaptic excitability through amplified excitatory glutamatergic transmission, e.g., more or larger spines improve postsynaptic AMPA receptor availability67,68. In the spinal cord, we observed an increase in more stable, mature spine profiles in alpha-motor neurons through an increase in mushroom-shaped spine density, as well as an increase in spine head size. As we and others have shown, more stable mushroom-shaped spine morphologies can have a greater impact on neuronal excitability as compared with thin-shaped spines16,66. Additionally, larger mature spines may contribute increased input discretization by narrowing EPSP waveforms, and increase synaptic transmission fidelity at higher rates of activity69,70. The added capability to transmit excitatory potentials at higher frequency with greater reliability could facilitate supra- and sub-threshold temporal summation7174. Taken together, the biophysical properties associated with the dendritic spine changes we observed may explain the loss the H-reflex RDD and upshift in the H/M ratio associated with spasticity after injury.

This study selectively targeted Rac1 deletion in motor neurons via an intramuscular AAV-Cre injection route, e.g., reducing viral bioavailability to other CNS tissues. However, given that Rac1 contributes to regulating a multitude of intracellular molecular signaling pathways, we cannot entirely preclude off-target effects. Notably, Rac1 function is controlled by post-translational modification, such as prenylation and SUMOylation, which affect Rac1 localization to specific subcellular compartments75,76. In addition to actin cytoskeleton reorganization, Rac1 activity can also influence the spinal excitability through altered gene expression, production of reactive oxygen species (ROS), e.g., which can influence synaptic transmission, and inflammatory responses7779. Thus, in our present study, Rac1 disruption could have indirectly affected reflex excitability along with structural changes to dendritic spine morphology. This does raise a related question as to whether these cellular reactions to injury act synergistically. For example, inhibition of Rac1 in diabetic focal cerebral ischemia led to neuroprotection, through reduced ROS and fewer Bcl-2/Rac1 mitochondrial complexes79. Suffice it to say, our work provides a compelling opportunity to further investigate the link between Rac1 activity and motor neuron excitability after SCI.

Following SCI, we observed an increase in spine size and density. These changes represent a common motif of dendritic spine dysgenesis associated with a neuronal hyperexcitability, in this case, the symptom of spasticity14,55. Multiple factors contribute to spine dysgenesis after SCI: inflammation, increased glutamate, abnormal glia response21,80,81. By targeting Rac1, we can attenuate abnormal spine remodeling regardless of the upstream mechanism. Rac1 activity is well known to control the formation and maintenance of dendritic spines. For example, in vitro experiments show that expression a dominant-negative form of Rac1 results in spine elimination, while constitutively active Rac1 increases spine density82,83. This fits with our observation that the deletion of Rac1 in motor neurons reduces the total- and mushroom spine density compared to SCI controls. In addition, Rac1 deletion reduced the size of both thin and mushroom shaped spines after SCI. This effect may be related to the role of Rac1 in actin cytoskeleton rearrangement: Rac1 regulates the actin nucleator actin-related protein 2/3 (Arp2/3) to drive Arp2/3 through the WAVE protein complex, which is necessary for activity dependent spine growth84,85. Finally, reduced spine size may be related to the role of Rac1 in LTP. For example, the LTP induction leads to subsequent Rac1 activation and dendritic spine growth86. Rac1 KO in motor neurons thus may inhibit maladaptive synaptic plasticity, e.g., LTP18, and abnormal spine morphology thereby reduce evoked reflex excitability following SCI.

This study provides the first reported evidence demonstrating that a viral-mediated conditional knockout model can significantly affect motor neuron dendritic spine structure in the injured spinal cord. We targeted Rac1 in spinal cord motor neurons using a conditional cre-loxp system with transgenic “floxed” Rac1 mice and intramuscular injection of AAV9CMVCre. Rac1 activity controls actin stability involved in the formation and stabilization of dendritic spine structure through the Rac1/Cdc42-PAK pathway82,8789. In our study, a minimally invasive AAV injections into hindlimb muscle restricted infection to the ipsilateral innervating motor neurons and did not appear to affect non-neuronal cells, e.g., astrocytes or microglia, in the ventral horn43. This is in line with previous studies showing that AAV vectors can selectively infect neuronal tissue without damage to the CNS or contribute to chronic inflammation, e.g., low immunogenicity9093. Importantly, viral-mediated Rac1 cre-loxp knockout in approximately 50% of L4 ventral horn alpha-motor neurons was sufficient to partially restore normal evoked H-reflex response after SCI. Although it is possible that viral injection procedures led to sensitization of sensory afferents within the spinal reflex pathway, we observed no difference across SCI groups in CatWalk sensory-motor outcomes. Although we have shown that intrathecally administrated doses of a pharmacological Rac1 inhibitor, NSC23766, can reduce H-reflex excitability in SCI animals with spasticity21, small molecule inhibitors have limited empirical and clinical utility. Taken together, our findings provide a unique basis for future studies aimed at developing a translational gene therapy by targeting the Rac1 pathway, perhaps as others have similarly done with virally-delivered miRNA knockdown constructs driven with motor neuron specific promoters94,95.

In summary, this study demonstrates that viral-mediated conditional Rac1 disruption in ventral horn motor neurons reduces abnormal dendritic spine dysgenesis and attenuates hyperreflexia associated with spasticity after SCI. Combined with our previous work17,21,49,51, these findings further support the emerging principle that dendritic spine dysgenesis is a morphological correlate of spinal cord hyperexcitability disorder, and provides an opportunity to explore strategies, including gene therapy approaches targeting dendritic spine dysgenesis, to correct abnormal reflex function after spinal cord injury.

Author contributions

C.B., and A.T., performed main procedures, data acquisition, and analysis, and writing the manuscript. K.O., S.P., and M.L.R., contributed to analysis of data. M.H. provided technical assistance. A.T., L.B., and S.G.W., contributed to the conception of the work and provided editorial assistance. A.T. supervised the work. All authors contributed to editorial revisions of the final manuscript.

Funding

We acknowledge support from the Department of Veterans Affairs Rehabilitation R&D Service, Paralyzed Veterans of America, and the Nancy Taylor Foundation for Chronic Diseases.

Data availability

Data is available upon written request to Dr. Andrew Tan.

Code availability

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

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

References

  • 1.Skold C, Levi R, Seiger A. Spasticity after traumatic spinal cord injury: nature, severity, and location. Arch. Phys. Med. Rehabil. 1999;80:1548–1557. doi: 10.1016/S0003-9993(99)90329-5. [DOI] [PubMed] [Google Scholar]
  • 2.Walter JS, et al. A database of self-reported secondary medical problems among VA spinal cord injury patients: its role in clinical care and management. J. Rehabil. Res. Dev. 2002;39:53–61. [PubMed] [Google Scholar]
  • 3.Lance JW. In: Spasticity: Disordered Motor Control. Feldman RG, Yound RR, Koella WP, editors. Year Book Medical; 1980. pp. 485–494. [Google Scholar]
  • 4.Bennett DJ, et al. Spasticity in rats with sacral spinal cord injury. J. Neurotrauma. 1999;16:69–84. doi: 10.1089/neu.1999.16.69. [DOI] [PubMed] [Google Scholar]
  • 5.Boulenguez P, Vinay L. Strategies to restore motor functions after spinal cord injury. Curr. Opin. Neurobiol. 2009;19:587–600. doi: 10.1016/j.conb.2009.10.005. [DOI] [PubMed] [Google Scholar]
  • 6.Nielsen JB, Crone C, Hultborn H. The spinal pathophysiology of spasticity—from a basic science point of view. Acta Physiol. (Oxf.) 2007;189:171–180. doi: 10.1111/j.1748-1716.2006.01652.x. [DOI] [PubMed] [Google Scholar]
  • 7.Hunanyan AS, Petrosyan HA, Alessi V, Arvanian VL. Combination of chondroitinase ABC and AAV-NT3 promotes neural plasticity at descending spinal pathways after thoracic contusion in rats. J. Neurophysiol. 2013;110:1782–1792. doi: 10.1152/jn.00427.2013. [DOI] [PubMed] [Google Scholar]
  • 8.Boulenguez P, et al. Down-regulation of the potassium-chloride cotransporter KCC2 contributes to spasticity after spinal cord injury. Nat. Med. 2010;16:302–307. doi: 10.1038/nm.2107. [DOI] [PubMed] [Google Scholar]
  • 9.Fouad K, Bennett DJ, Vavrek R, Blesch A. Long-term viral brain-derived neurotrophic factor delivery promotes spasticity in rats with a cervical spinal cord hemisection. Front Neurol. 2013;4:187. doi: 10.3389/fneur.2013.00187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bourne J, Harris KM. Do thin spines learn to be mushroom spines that remember? Curr. Opin. Neurobiol. 2007;17:381–386. doi: 10.1016/j.conb.2007.04.009. [DOI] [PubMed] [Google Scholar]
  • 11.Calabrese B, Wilson MS, Halpain S. Development and regulation of dendritic spine synapses. Physiology (Bethesda) 2006;21:38–47. doi: 10.1152/physiol.00042.2005. [DOI] [PubMed] [Google Scholar]
  • 12.Pongracz F. The function of dendritic spines: a theoretical study. Neuroscience. 1985;15:933–946. doi: 10.1016/0306-4522(85)90244-1. [DOI] [PubMed] [Google Scholar]
  • 13.Segev I, Rall W. Computational study of an excitable dendritic spine. J. Neurophysiol. 1988;60:499–523. doi: 10.1152/jn.1988.60.2.499. [DOI] [PubMed] [Google Scholar]
  • 14.Tan AM, et al. Burn injury-induced mechanical allodynia is maintained by Rac1-regulated dendritic spine dysgenesis. Exp. Neurol. 2013;248:509–519. doi: 10.1016/j.expneurol.2013.07.017. [DOI] [PubMed] [Google Scholar]
  • 15.Tan AM, et al. Neuropathic pain memory is maintained by Rac1-regulated dendritic spine remodeling after spinal cord injury. J. Neurosci. 2008;28:13173–13183. doi: 10.1523/JNEUROSCI.3142-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Tan AM, Choi JS, Waxman SG, Hains BC. Dendritic spine remodeling after spinal cord injury alters neuronal signal processing. J. Neurophysiol. 2009;102:2396–2409. doi: 10.1152/jn.00095.2009. [DOI] [PubMed] [Google Scholar]
  • 17.Zhao P, et al. Dendritic spine remodeling following early and late Rac1 inhibition after spinal cord injury: evidence for a pain biomarker. J. Neurophysiol. 2016;115:2893–2910. doi: 10.1152/jn.01057.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wolpaw JR. The complex structure of a simple memory. Trends Neurosci. 1997;20:588–594. doi: 10.1016/S0166-2236(97)01133-8. [DOI] [PubMed] [Google Scholar]
  • 19.Edwards DC, Sanders LC, Bokoch GM, Gill GN. Activation of LIM-kinase by Pak1 couples Rac/Cdc42 GTPase signalling to actin cytoskeletal dynamics. Nat. Cell. Biol. 1999;1:253–259. doi: 10.1038/12963. [DOI] [PubMed] [Google Scholar]
  • 20.Tashiro A, Yuste R. Role of Rho GTPases in the morphogenesis and motility of dendritic spines. Methods Enzymol. 2008;439:285–302. doi: 10.1016/S0076-6879(07)00421-1. [DOI] [PubMed] [Google Scholar]
  • 21.Bandaru SP, Liu S, Waxman SG, Tan AM. Dendritic spine dysgenesis contributes to hyperreflexia after spinal cord injury. J. Neurophysiol. 2015;113:1598–1615. doi: 10.1152/jn.00566.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Hebel R, Stromberg MW. Anatomy of the Laboratory Rat. 173. The Williams & Wilkins Company; 1976. [Google Scholar]
  • 23.Nishi RA, et al. Behavioral, histological, and ex vivo magnetic resonance imaging assessment of graded contusion spinal cord injury in mice. J. Neurotrauma. 2007;24:674–689. doi: 10.1089/neu.2006.0204. [DOI] [PubMed] [Google Scholar]
  • 24.Basso DM, et al. Basso Mouse Scale for locomotion detects differences in recovery after spinal cord injury in five common mouse strains. J. Neurotrauma. 2006;23:635–659. doi: 10.1089/neu.2006.23.635. [DOI] [PubMed] [Google Scholar]
  • 25.Petruska JC, et al. Intramuscular AAV delivery of NT-3 alters synaptic transmission to motoneurons in adult rats. Eur. J. Neurosci. 2010;32:997–1005. doi: 10.1111/j.1460-9568.2010.07392.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ho SM, Waite PM. Effects of different anesthetics on the paired-pulse depression of the h reflex in adult rat. Exp. Neurol. 2002;177:494–502. doi: 10.1006/exnr.2002.8013. [DOI] [PubMed] [Google Scholar]
  • 27.Hosoido T, et al. Characteristics of H- and M-waves recorded from rat forelimbs. Neurosci. Lett. 2009;450:239–241. doi: 10.1016/j.neulet.2008.11.045. [DOI] [PubMed] [Google Scholar]
  • 28.Valero-Cabre A, Fores J, Navarro X. Reorganization of reflex responses mediated by different afferent sensory fibers after spinal cord transection. J. Neurophysiol. 2004;91:2838–2848. doi: 10.1152/jn.01177.2003. [DOI] [PubMed] [Google Scholar]
  • 29.Lee HJ, et al. Better functional outcome of compression spinal cord injury in mice is associated with enhanced H-reflex responses. Exp. Neurol. 2009;216:365–374. doi: 10.1016/j.expneurol.2008.12.009. [DOI] [PubMed] [Google Scholar]
  • 30.Thompson FJ, Reier PJ, Lucas CC, Parmer R. Altered patterns of reflex excitability subsequent to contusion injury of the rat spinal cord. J. Neurophysiol. 1992;68:1473–1486. doi: 10.1152/jn.1992.68.5.1473. [DOI] [PubMed] [Google Scholar]
  • 31.Schieppati M. The Hoffmann reflex: a means of assessing spinal reflex excitability and its descending control in man. Prog. Neurobiol. 1987;28:345–376. doi: 10.1016/0301-0082(87)90007-4. [DOI] [PubMed] [Google Scholar]
  • 32.Palmieri RM, Ingersoll CD, Hoffman MA. The hoffmann reflex: methodologic considerations and applications for use in sports medicine and athletic training research. J. Athl. Train. 2004;39:268–277. [PMC free article] [PubMed] [Google Scholar]
  • 33.Crockett DP, Harris SL, Egger MD. Plantar motoneuron columns in the rat. J. Comp. Neurol. 1987;265:109–118. doi: 10.1002/cne.902650108. [DOI] [PubMed] [Google Scholar]
  • 34.Tan AM, Chakrabarty S, Kimura H, Martin JH. Selective corticospinal tract injury in the rat induces primary afferent fiber sprouting in the spinal cord and hyperreflexia. J. Neurosci. 2012;32:12896–12908. doi: 10.1523/JNEUROSCI.6451-11.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Guo Y, et al. Therapeutic potential of Pak1 inhibition for pain associated with cutaneous burn injury. Mol. Pain. 2018;14:1744806918788648. doi: 10.1177/1744806918788648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Enjin A, et al. Developmental disruption of recurrent inhibitory feedback results in compensatory adaptation in the Renshaw cell-motor neuron circuit. J. Neurosci. 2017;37:5634–5647. doi: 10.1523/JNEUROSCI.0949-16.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Friese A, et al. Gamma and alpha motor neurons distinguished by expression of transcription factor Err3. Proc. Natl. Acad. Sci. U S A. 2009;106:13588–13593. doi: 10.1073/pnas.0906809106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kim BG, Dai HN, McAtee M, Vicini S, Bregman BS. Remodeling of synaptic structures in the motor cortex following spinal cord injury. Exp. Neurol. 2006;198:401–415. doi: 10.1016/j.expneurol.2005.12.010. [DOI] [PubMed] [Google Scholar]
  • 39.Holmes WR. Is the function of dendritic spines to concentrate calcium? Brain Res. 1990;519:338–342. doi: 10.1016/0006-8993(90)90098-V. [DOI] [PubMed] [Google Scholar]
  • 40.Scheff SW, Rabchevsky AG, Fugaccia I, Main JA, Lumpp JE., Jr Experimental modeling of spinal cord injury: characterization of a force-defined injury device. J. Neurotrauma. 2003;20:179–193. doi: 10.1089/08977150360547099. [DOI] [PubMed] [Google Scholar]
  • 41.Benkhelifa-Ziyyat S, et al. Intramuscular scAAV9-SMN injection mediates widespread gene delivery to the spinal cord and decreases disease severity in SMA mice. Mol. Ther. 2013;21:282–290. doi: 10.1038/mt.2012.261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Schuster DJ, et al. Biodistribution of adeno-associated virus serotype 9 (AAV9) vector after intrathecal and intravenous delivery in mouse. Front. Neuroanat. 2014;8:42. doi: 10.3389/fnana.2014.00042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Chen Z, Fan G, Li A, Yuan J, Xu T. rAAV2-Retro Enables Extensive and High-Efficient Transduction of Lower Motor Neurons following Intramuscular Injection. Mol. Ther. Methods Clin. Dev. 2020;17:21–33. doi: 10.1016/j.omtm.2019.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Tosolini AP, Sleigh JN. Intramuscular delivery of gene therapy for targeting the nervous system. Front. Mol. Neurosci. 2020;13:129. doi: 10.3389/fnmol.2020.00129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Maes ME, Colombo G, Schulz R, Siegert S. Targeting microglia with lentivirus and AAV: Recent advances and remaining challenges. Neurosci. Lett. 2019;707:134310. doi: 10.1016/j.neulet.2019.134310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Thompson AK, Chen XY, Wolpaw JR. Acquisition of a simple motor skill: task-dependent adaptation plus long-term change in the human soleus H-reflex. J. Neurosci. 2009;29:5784–5792. doi: 10.1523/JNEUROSCI.4326-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Pandyan AD, et al. Spasticity: clinical perceptions, neurological realities and meaningful measurement. Disabil. Rehabil. 2005;27:2–6. doi: 10.1080/09638280400014576. [DOI] [PubMed] [Google Scholar]
  • 48.Squintani G, et al. Cortical and spinal excitability in patients with multiple sclerosis and spasticity after oromucosal cannabinoid spray. J. Neurol. Sci. 2016;370:263–268. doi: 10.1016/j.jns.2016.09.054. [DOI] [PubMed] [Google Scholar]
  • 49.Tan AM. Dendritic spine dysgenesis in neuropathic pain. Prog. Mol. Biol. Transl. Sci. 2015;131:385–408. doi: 10.1016/bs.pmbts.2014.12.001. [DOI] [PubMed] [Google Scholar]
  • 50.Tan AM. Dendritic spine dysgenesis: an emerging concept in neuropsychiatric disease. Neurosci. Lett. 2015;601:1–3. doi: 10.1016/j.neulet.2015.03.009. [DOI] [PubMed] [Google Scholar]
  • 51.Patwa S, et al. Spinal cord motor neuron plasticity accompanies second-degree burn injury and chronic pain. Physiol. Rep. 2019;7:e14288. doi: 10.14814/phy2.14288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Zhou Q, Homma KJ, Poo MM. Shrinkage of dendritic spines associated with long-term depression of hippocampal synapses. Neuron. 2004;44:749–757. doi: 10.1016/j.neuron.2004.11.011. [DOI] [PubMed] [Google Scholar]
  • 53.Kwon HB, Sabatini BL. Glutamate induces de novo growth of functional spines in developing cortex. Nature. 2011;474:100–104. doi: 10.1038/nature09986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Tan AM, Chang YW, Zhao P, Hains BC, Waxman SG. Rac1-regulated dendritic spine remodeling contributes to neuropathic pain after peripheral nerve injury. Exp. Neurol. 2011;232:222–233. doi: 10.1016/j.expneurol.2011.08.028. [DOI] [PubMed] [Google Scholar]
  • 55.Tan AM, et al. Maladaptive dendritic spine remodeling contributes to diabetic neuropathic pain. J. Neurosci. 2012;32:6795–6807. doi: 10.1523/JNEUROSCI.1017-12.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Brown CE, Li P, Boyd JD, Delaney KR, Murphy TH. Extensive turnover of dendritic spines and vascular remodeling in cortical tissues recovering from stroke. J. Neurosci. 2007;27:4101–4109. doi: 10.1523/JNEUROSCI.4295-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Potter LE, et al. Altered excitatory-inhibitory balance within somatosensory cortex is associated with enhanced plasticity and pain sensitivity in a mouse model of multiple sclerosis. J. Neuroinflammation. 2016;13:142. doi: 10.1186/s12974-016-0609-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Lance JW. The control of muscle tone, reflexes, and movement: Robert Wartenberg Lecture. Neurology. 1980;30:1303–1313. doi: 10.1212/WNL.30.12.1303. [DOI] [PubMed] [Google Scholar]
  • 59.Holtz KA, Lipson R, Noonan VK, Kwon BK, Mills PB. Prevalence and effect of problematic spasticity after traumatic spinal cord injury. Arch. Phys. Med. Rehabil. 2017;98:1132–1138. doi: 10.1016/j.apmr.2016.09.124. [DOI] [PubMed] [Google Scholar]
  • 60.Segev I, Rall W. Excitable dendrites and spines: earlier theoretical insights elucidate recent direct observations. Trends Neurosci. 1998;21:453–460. doi: 10.1016/S0166-2236(98)01327-7. [DOI] [PubMed] [Google Scholar]
  • 61.Wolpaw JR. Acquisition and maintenance of the simplest motor skill: investigation of CNS mechanisms. Med. Sci. Sports Exerc. 1994;26:1475–1479. doi: 10.1249/00005768-199412000-00011. [DOI] [PubMed] [Google Scholar]
  • 62.Cao XC, Pappalardo LW, Waxman SG, Tan AM. Dendritic spine dysgenesis in superficial dorsal horn sensory neurons after spinal cord injury. Mol. Pain. 2017;13:1744806916688016. doi: 10.1177/1744806916688016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Wolpaw JR, Lee CL. Memory traces in primate spinal cord produced by operant conditioning of H-reflex. J. Neurophysiol. 1989;61:563–572. doi: 10.1152/jn.1989.61.3.563. [DOI] [PubMed] [Google Scholar]
  • 64.Wolpaw JR, Carp JS. Memory traces in spinal cord. Trends Neurosci. 1990;13:137–142. doi: 10.1016/0166-2236(90)90005-U. [DOI] [PubMed] [Google Scholar]
  • 65.Chen XY, Wolpaw JR, Jakeman LB, Stokes BT. Operant conditioning of H-reflex in spinal cord-injured rats. J. Neurotrauma. 1996;13:755–766. doi: 10.1089/neu.1996.13.755. [DOI] [PubMed] [Google Scholar]
  • 66.Luscher C, Nicoll RA, Malenka RC, Muller D. Synaptic plasticity and dynamic modulation of the postsynaptic membrane. Nat. Neurosci. 2000;3:545–550. doi: 10.1038/75714. [DOI] [PubMed] [Google Scholar]
  • 67.Harris KM, Stevens JK. Dendritic spines of CA 1 pyramidal cells in the rat hippocampus: serial electron microscopy with reference to their biophysical characteristics. J. Neurosci. 1989;9:2982–2997. doi: 10.1523/JNEUROSCI.09-08-02982.1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Matsuzaki M, et al. Dendritic spine geometry is critical for AMPA receptor expression in hippocampal CA1 pyramidal neurons. Nat. Neurosci. 2001;4:1086–1092. doi: 10.1038/nn736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Rall W, Burke RE, Smith TG, Nelson PG, Frank K. Dendritic location of synapses and possible mechanisms for the monosynaptic EPSP in motoneurons. J. Neurophysiol. 1967;30:1169–1193. doi: 10.1152/jn.1967.30.5.1169. [DOI] [PubMed] [Google Scholar]
  • 70.Rall W. Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input. J. Neurophysiol. 1967;30:1138–1168. doi: 10.1152/jn.1967.30.5.1138. [DOI] [PubMed] [Google Scholar]
  • 71.Martiel JL, Mouchet P, Boissier MD. Modeling the integrative properties of dendrites: application to the striatal spiny neuron. Synapse. 1994;16:269–279. doi: 10.1002/syn.890160404. [DOI] [PubMed] [Google Scholar]
  • 72.Gold JI, Bear MF. A model of dendritic spine Ca2+ concentration exploring possible bases for a sliding synaptic modification threshold. Proc. Natl. Acad. Sci. U.S.A. 1994;91:3941–3945. doi: 10.1073/pnas.91.9.3941. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Carter AG, Soler-Llavina GJ, Sabatini BL. Timing and location of synaptic inputs determine modes of subthreshold integration in striatal medium spiny neurons. J. Neurosci. 2007;27:8967–8977. doi: 10.1523/JNEUROSCI.2798-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Yuste R, Urban R. Dendritic spines and linear networks. J. Physiol. Paris. 2004;98:479–486. doi: 10.1016/j.jphysparis.2005.09.014. [DOI] [PubMed] [Google Scholar]
  • 75.Navarro-Lerida I, et al. A palmitoylation switch mechanism regulates Rac1 function and membrane organization. EMBO J. 2012;31:534–551. doi: 10.1038/emboj.2011.446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Torrino S, et al. The E3 ubiquitin-ligase HACE1 catalyzes the ubiquitylation of active Rac1. Dev. Cell. 2011;21:959–965. doi: 10.1016/j.devcel.2011.08.015. [DOI] [PubMed] [Google Scholar]
  • 77.Westwick JK, et al. Rac regulation of transformation, gene expression, and actin organization by multiple, PAK-independent pathways. Mol. Cell Biol. 1997;17:1324–1335. doi: 10.1128/mcb.17.3.1324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Li SM, Zeng LW, Feng L, Chen DB. Rac1-dependent intracellular superoxide formation mediates vascular endothelial growth factor-induced placental angiogenesis in vitro. Endocrinology. 2010;151:5315–5325. doi: 10.1210/en.2010-0178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Pan Y, et al. Inhibition of Rac1 ameliorates neuronal oxidative stress damage via reducing Bcl-2/Rac1 complex formation in mitochondria through PI3K/Akt/mTOR pathway. Exp. Neurol. 2018;300:149–166. doi: 10.1016/j.expneurol.2017.10.030. [DOI] [PubMed] [Google Scholar]
  • 80.Freria CM, et al. Deletion of the Fractalkine receptor, CX3CR1, improves endogenous repair, axon sprouting, and synaptogenesis after spinal cord injury in mice. J. Neurosci. 2017;37:3568–3587. doi: 10.1523/JNEUROSCI.2841-16.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.O'Reilly ML, Tom VJ. Neuroimmune system as a driving force for plasticity following CNS injury. Front. Cell Neurosci. 2020;14:187. doi: 10.3389/fncel.2020.00187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Nakayama AY, Harms MB, Luo L. Small GTPases Rac and Rho in the maintenance of dendritic spines and branches in hippocampal pyramidal neurons. J. Neurosci. 2000;20:5329–5338. doi: 10.1523/JNEUROSCI.20-14-05329.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Tashiro A, Yuste R. Regulation of dendritic spine motility and stability by Rac1 and Rho kinase: evidence for two forms of spine motility. Mol. Cell Neurosci. 2004;26:429–440. doi: 10.1016/j.mcn.2004.04.001. [DOI] [PubMed] [Google Scholar]
  • 84.Kim Y, et al. Phosphorylation of WAVE1 regulates actin polymerization and dendritic spine morphology. Nature. 2006;442:814–817. doi: 10.1038/nature04976. [DOI] [PubMed] [Google Scholar]
  • 85.Wegner AM, et al. N-wasp and the arp2/3 complex are critical regulators of actin in the development of dendritic spines and synapses. J. Biol. Chem. 2008;283:15912–15920. doi: 10.1074/jbc.M801555200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Saneyoshi T, et al. Reciprocal activation within a kinase-effector complex underlying persistence of structural LTP. Neuron. 2019;102:1199–1210. doi: 10.1016/j.neuron.2019.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Wiens KM, Lin H, Liao D. Rac1 induces the clustering of AMPA receptors during spinogenesis. J. Neurosci. 2005;25:10627–10636. doi: 10.1523/JNEUROSCI.1947-05.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Luo L. Rho GTPases in neuronal morphogenesis. Nat. Rev. Neurosci. 2000;1:173–180. doi: 10.1038/35044547. [DOI] [PubMed] [Google Scholar]
  • 89.Bosch M, et al. Structural and molecular remodeling of dendritic spine substructures during long-term potentiation. Neuron. 2014;82:444–459. doi: 10.1016/j.neuron.2014.03.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Chamberlin NL, Du B, de Lacalle S, Saper CB. Recombinant adeno-associated virus vector: use for transgene expression and anterograde tract tracing in the CNS. Brain Res. 1998;793:169–175. doi: 10.1016/S0006-8993(98)00169-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Finkelstein R, Baughman RW, Steele FR. Harvesting the neural gene therapy fruit. Mol. Ther. 2001;3:3–7. doi: 10.1006/mthe.2000.0229. [DOI] [PubMed] [Google Scholar]
  • 92.Samad OA, et al. Virus-mediated shRNA knockdown of Na(v)1.3 in rat dorsal root ganglion attenuates nerve injury-induced neuropathic pain. Mol. Ther. 2013;21:49–56. doi: 10.1038/mt.2012.169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Tan AM, Samad OA, Dib-Hajj SD, Waxman SG. Virus-mediated knockdown of Nav1.3 in dorsal root ganglia of stz-induced diabetic rats alleviates tactile Allodynia. Mol Med. 2015;21:544–552. doi: 10.2119/molmed.2015.00063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Boda B, et al. Survival motor neuron SMN1 and SMN2 gene promoters: identical sequences and differential expression in neurons and non-neuronal cells. Eur. J. Hum. Genet. 2004;12:729–737. doi: 10.1038/sj.ejhg.5201217. [DOI] [PubMed] [Google Scholar]
  • 95.Boyce VS, Park J, Gage FH, Mendell LM. Differential effects of brain-derived neurotrophic factor and neurotrophin-3 on hindlimb function in paraplegic rats. Eur. J. Neurosci. 2012;35:221–232. doi: 10.1111/j.1460-9568.2011.07950.x. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data is available upon written request to Dr. Andrew Tan.

Not applicable.


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