Abstract
Pathophysiological responses to peripheral nerve injury include alterations in the activity, intrinsic membrane properties and excitability of spinal neurons. The intrinsic excitability of α-motoneurons is controlled in part by the expression, regulation, and distribution of membrane-bound ion channels. Ion channels, such as Kv2.1 and SK, which underlie delayed rectifier potassium currents and afterhyperpolarization respectively, are localized in high-density clusters at specific postsynaptic sites (Deardorff et al., 2013; Muennich and Fyffe, 2004). Previous work has indicated that Kv2.1 channel clustering and kinetics are regulated by a variety of stimuli including ischemia, hypoxia, neuromodulator action and increased activity. Regulation occurs via channel dephosphorylation leading to both declustering and alterations in channel kinetics, thus normalizing activity (Misonou et al., 2004; Misonou et al., 2005; Misonou et al., 2008; Mohapatra et al., 2009; Park et al., 2006). Here we demonstrate using immunohistochemistry that peripheral nerve injury is also sufficient to alter the surface distribution of Kv2.1 channels on motoneurons. The dynamic changes in channel localization include a rapid progressive decline in cluster size, beginning immediately after axotomy, reaching maximum within one week. With reinnervation, the organization and size of Kv2.1 clusters do not fully recover. However, in the absence of reinnervation Kv2.1 cluster sizes fully recover. Moreover, unilateral peripheral nerve injury evokes parallel, but smaller, effects bilaterally. These results suggest that homeostatic regulation of motoneuron Kv2.1 membrane distribution after axon injury is largely independent of axon reinnervation.
Keywords: Kv2.1, Peripheral Nerve Injury, Voltage-gated ion channels, Motoneuron
1. Introduction
Injured peripheral nerves can successfully reinnervate peripheral targets, but complete functional recovery seldom occurs (Alvarez et al., 2011; Bullinger et al., 2011; Cope and Clark, 1993; Cope et al., 1994; Haftel et al., 2005; Prather et al., 2011). Reorganization of central circuits accounts, at least partially, for abnormal sensorimotor integration and stretch areflexia following peripheral nerve injury (Alvarez et al., 2011; Bullinger et al., 2011). Furthermore, injury induced changes to α-motoneuron (MN) intrinsic properties and cellular excitability are well documented (Bichler et al., 2007; Foehring et al., 1986a; Gustafsson and Pinter, 1984; Kuno et al., 1974a; Kuno et al., 1974b; Nakanishi et al., 2005) and may also contribute to dysfunctional or maladaptive signaling in intact spinal circuitry.
Neuronal biophysical properties are controlled in part by the expression patterns and subcellular distribution of highly regulated ion channels (Cerda and Trimmer, 2010; Deardorff et al., 2013; Duflocq et al., 2011; Lai and Jan, 2006; Magee, 2000; Misonou, 2010). It is now recognized that certain voltage-gated ion channels are not uniformly distributed in the surface membrane of α-MNs but exhibit polarized distributions and/or are concentrated in discrete microdomains (Bui et al., 2006; Carlin et al., 2000; Deardorff et al., 2013; Deng and Fyffe, 2004; Elbasiouny et al., 2005; Muennich and Fyffe, 2004). Ion channel localization and density in the surface membrane can be dynamically regulated at a number of levels including gene expression, protein trafficking and membrane insertion, posttranslational modifications, and interactions with macromolecular complexes or lipid rafts. Additionally, different channel subunits can interact to form heteromeric channels with altered channel properties (Benton et al., 2003; Kihira et al., 2010; Monaghan et al., 2004; Strassmaier et al., 2005). Moreover, channel subunits may associate with and be regulated by accessory subunits, neurotransmitter or neuromodulator receptors, scaffolding proteins and postsynaptic density proteins (e.g. PSD-95), and other signaling molecules. Yet few studies have examined channel regulation in α-MNs following peripheral nerve injury.
Delayed rectifier Kv2.1 channels regulate the excitability of a wide range of vertebrate neurons. Kv2.1 channels are typically sequestered, or ‘clustered’, via unique C-terminal phosphorylation sites into highly regulated microdomains with other ion channels, neurotransmitter receptors, and signaling molecules (Deardorff et al., 2013; Deng and Fyffe, 2004; Muennich and Fyffe, 2004; Wilson et al., 2004). Sequestration creates energetically and kinetically favorable mechanism for neurons to initiate rapid and robust responses to changes in synaptic inputs and cellular activity (Misonou et al., 2004; Misonou et al., 2005; Misonou et al., 2008; Misonou, 2010; Park et al., 2006). In α-MNs, the largest Kv2.1 clusters are located at C-bouton postsynaptic sites, where they comprise a unique cellular domain with SK2/3 channels, subsurface cisternae, and mAChR2 receptors (Deardorff et al., 2013; Muennich and Fyffe, 2004). Smaller Kv2.1 clusters are located at excitatory S-type synapses and may also be apposed to extrasynaptic neuroglia processes (Muennich and Fyffe, 2004).
Kv2.1 channel properties and membrane clustering are phosphorylation dependent (Misonou et al., 2004; Murakoshi et al., 1997; Park et al., 2006; Zhang et al., 2008). In the high-density clusters, Kv2.1 channels may be low or non-conducting, and it is possible that the channel proteins exhibit additional non-conducting functions (Fox et al., 2013; O’Connell et al., 2010). A variety of stimuli (ex: ischemia, hypoxia, and synaptic activity) cause Ca2+-calcineurin dependent channel dephosphorylation. (Misonou et al., 2004; Misonou et al., 2005). Dephosphorylated Kv2.1 undergoes a large (≈25 mV) hyperpolarizing shift in voltage dependence, increasing the amplitude of Kv2.1 delayed rectifier currents (Misonou et al., 2004; Mohapatra et al., 2009) and prolonging the duration of the interspike interval (Mohapatra et al., 2009; Surmeier and Foehring, 2004). Dephosphorylated Kv2.1 channels also spatially migrate from the initially clustered state (Misonou et al., 2004). In hippocampal neurons the modulation of Kv2.1 currents by this mechanism suppresses neuronal firing frequency following prolonged depolarization and increased synaptic activity (Mohapatra et al., 2009), strongly indicating a role for Kv2.1 in homeostatic regulation of cellular excitability.
The aim of this study was to use quantitative immunohistochemical techniques to investigate the membrane organization and spatial distribution of Kv2.1 immunoreactivity (IR) in rat medial and lateral gastrocnemius α-motoneurons (MNs) following tibial nerve injury. We first tested the effects of glutamate induced excitation in in vitro spinal cord slices to demonstrate the redistribution and reduced clustering of membrane Kv2.1 channels in spinal α-motoneurons, similar to the membrane redistribution seen following increase in activity in other neurons in vitro. We then tested two types of in vivo peripheral nerve injury in the rat including a tibial crush injury, in which peripheral reinnervation was permitted, and a tibial ligation injury, in which peripheral reinnervation was prevented. Both in vivo injuries resulted in declustering of Kv2.1 suggesting that the regulation of Kv2.1 may contribute to modifications in motoneuron intrinsic excitability following peripheral nerve injury.
2. Results
2.1 Redistribution of Kv2.1-IR results from increased in vitro activity in α-motoneurons
Previous work with Kv2.1 in both primary hippocampal cells and HEK293 cultures has shown a lateral translocation of Kv2.1 from clusters to a more uniform distribution (‘declustering’) in the membrane following glutamate treatment (Misonou et al., 2004; Misonou et al., 2005; Mohapatra et al., 2009; Murakoshi et al., 1997). Here we treated lumbar spinal cord slices with 10 μM glutamate for 10 minutes to determine if Kv2.1 clusters behave similarly in αMNs. En face Kv2.1-IR macrocluster (diameters > 1μm) areas from 20 αMNs (6 rats, 2 litters) were measured from control and glutamate-treated groups. Treatment with glutamate resulted in a significant 47% reduction in Kv2.1 macrocluster areas on lumbar αMNs in less than 10 minutes (figure 2). The reduction of macrocluster area is consistent with the previous work in other cell types that Kv2.1-IR is redistributed following increased activity.
2.2 Tibial nerve crush results in a significant decrease of both Kv2.1-IR macrocluster area and Kv2.1-IR macrocluster number
The goal of experiments reported in this section was to determine the effects of PNI on Kv2.1-IR macroclusters in rats by implementing a tibial nerve crush injury that permits proper reinnervation of peripheral targets. Spinal MNs with axons in the tibial nerve, specifically those that innervate the medial and lateral gastrocnemius muscles (MG/LG), were visualized with retrograde tracers injected intramuscularly prior to the injury. MNs positive for the retrograde tracers were imaged with confocal microscopy and quantitatively analyzed (figure 1). Initial observations revealed a statistically significant bilateral effect of unilateral nerve damage on Kv2.1-IR immunoreactivity in α-MNs after nerve crush or ligation (see section 2.5 below), although the reduction of Kv2.1 cluster sizes in contralateral MNs was always much less than on the side ipsilateral to the nerve damage. No effects were detected following sham operations. Therefore for accuracy, statistical analyses and graphs compare injury data to both sides of sham animals. However, to eliminate image variability resulting from artifacts or inconsistencies in tissue processing, confocal images included for illustrative purposes compare immunoreactivity from injured MG/LG MNs to contralateral, injury-spared MG/LG MNs within the same tissue slice (figures 3 & 4). It should be recognized that at the time points chosen for the ‘side-by-side’ confocal images presented here (8 days post injury) there was not a significant contralateral effect; however, because there may be a contralateral effect, the illustrated data potentially underestimates the ‘absolute’ degree of change in cluster size that occurs in an injured neuron.
Kv2.1-IR macroclusters (diameters > 1μm) visualized en face were selected and measured 8 days following tibial nerve crush injury (figure 3). Kv2.1-IR macrocluster cross-sectional areas are on average reduced by about 50% on the injured αMNs (4.75 μm2 ± 2.36 SD, n=937 clusters, 76 αMNs, 5 rats) compared to sham surgery control αMNs (9.29μm2 ± 4.82 SD, n=543 clusters, 50 αMNs, 3 rats) and the contralateral spared αMNs (9.35μm2 ± 3.76 SD, n=1123 clusters, 77 αMNs, 5 rats) (figure 3C). The Kv2.1 cluster areas on the contralateral sides were not found to be significantly different from sham surgery control animals at this time point (see section 2.5 below).
In addition to the reduction in size, the crush injury also induces a significant decrease in the number of Kv2.1-IR macroclusters on the soma of medial and lateral gastrocnemius MNs, with a maximum 55% reduction in number (injured mean=24.4 ± 9.68 SD, n=44 αMNs, 5 rats) 8 days after the injury compared to sham surgery controls (sham surgery control mean=54.6 ± 15.91 SD, n=36 αMNs, 3 rats). There were no significant differences in macrocluster number on the contralateral side (mean=50.8 ± 13.89 SD, n=53 αMNs, 5 rats), compared to sham surgery controls (figure 3D).
Furthermore, the linear distance between individual Kv2.1-IR macroclusters were measured in a nearest neighbor analysis, in 10 control and injured αMNs 8 days post injury. There are significant increases in distances between nearest neighbor Kv2.1 macroclusters following tibial nerve crush (figure 3E). Altogether, these data are consistent with fewer macroclusters with reduced areas.
Kv2.1-IR macroclusters located on proximal dendrites (up to approximately 150 μm from soma) were measured through 3D reconstructions to determine if channel clusters on dendrites also were affected by PNI. Kv2.1-IR macroclusters located on the proximal dendrites are 27% reduced in area (sham surgery control 13.42μm2 ± 6.054 SD, n=299 clusters, 20 αMNs, 2 rats; injured 9.764μm2 ± 5.091 SD, n=120 clusters, 10 αMNs, 2 rats) 8 days following tibial nerve crush (figure 4). Although dendritic Kv2.1-IR macroclusters (some of which are at least as large as clusters on the soma) are affected by PNI, they exhibit smaller on average percentage reduction of area than do macroclusters located on the soma membrane itself.
2.3 Tibial nerve crush results in a redistribution of Kv2.1-IR in α-motoneuron membrane
In cultures of hippocampal cells, use of Kv2.1 surface membrane-impermeant biotinylation assays following glutamate application revealed that the amount of membrane-localized Kv2.1 did not change even though the cluster areas qualitatively appeared reduced (Misonou et al., 2004). These results indicated a lateral translocation and redistribution of Kv2.1 in the membrane following the glutamate treatment rather than Kv2.1 internalization, and we wished to determine if this is the case in αMNs after injury. Indeed, in our experiments, when the axotomized MN membrane is examined in single optical confocal sections and small stacks of en face membrane, the small distinct punctae, or microclusters, typical of Kv2.1-IR distributions in uninjured αMNs (figure 5A&C) appear to be spread into a more diffuse field (figure 5B&D). Our previous studies of Kv2.1 immunoreactivity demonstrates the ability of our methods to quantitatively measure very small sized patches of immunoreactivity (Muennich and Fyffe, 2004). However, following injury the diffuse Kv2.1-IR in the membrane consists largely of punctae so small that accurate area measurements are precluded. However, we were able to assess quantitatively the relative levels of immunoreactivity in areas devoid of macroclusters but containing microclusters (measurable diameters <1.0 μm) and/or even smaller punctae. Analysis of regions of interest in en face membrane were selected in 10 uninjured and 10 injured MNs 8 days post tibial nerve crush. The minimum and average intensities measured in these regions were conserved following injury, with only the maximum intensity significantly decreased (figure 5E). However, there are no significant changes in the integrated optical density (density normalized to area sampled) of these same regions suggesting that the density of fluorescent pixels is conserved within the regions of interest (figure 5F). Finally we evaluated the same membrane regions for the fraction of pixels that deviate more than 10% from the average intensity and found there is a significant 88% reduction in the degree of heterogeneity of the Kv2.1-IR signal after injury (figure 5G). These results suggest that the Kv2.1-IR is less organized into microclusters, but still present in the membrane in a diffuse redistributed (or declustered) field of average intensity.
2.4 Kv2.1 macroclusters are not completely restored after peripheral reinnervation
Properties shaping intrinsic excitability following peripheral nerve injury generally return to normal ranges upon proper reinnervation of the peripheral target (Bichler et al., 2007; Foehring et al., 1986a; Foehring et al., 1986b; Kuno et al., 1974a). To determine if Kv2.1 ‘reclusters’ upon reinnervation, en face Kv2.1-IR macroclusters (diameters >1μm) were selected and measured for cross sectional area at 20 minutes, 3 days, 8 days, 2 weeks, 4 weeks and 6 months following tibial nerve crush injury (figure 6, table 1). At the latter two of these time points it is likely that reinnervation of target muscle is underway and/or has occurred. Significant differences in Kv2.1-IR macrocluster area exist between the injured αMNs and the sham surgery control αMNs as early as 20 minutes following injury (20% reduction), progressing to a maximum 51% reduction at 3 days post-injury. Subsequently, there is a gradual increase in cluster size, eventually attaining about 87% of normal average cluster size 6 months after injury (figure 6A).
Table 1.
TIBIAL NERVE CRUSH INJURY
| ||||||||
---|---|---|---|---|---|---|---|---|
Sham | 20 min | 3 Day | 8 Day | 2 Week | 4 Week | 6 Month | ||
Injury (ipsilateral) | Kv2.1-IR Mean Macrocluster Area (μm2) | 9.29 ± 4.82 | 7.47 ± 3.23 | 4.54 ± 2.32 | 4.74 ± 2.36 | 5.14 ± 3.01 | 6.48 ± 2.61 | 8.10 ± 3.41 |
Clusters, Cells, Animals sampled | n=543, 50, 3 | n= 915, 77, 3 | n= 563, 25, 2 | n= 937, 76, 5 | n= 792, 59, 4 | n= 744, 56, 3 | n= 920, 57, 2 | |
| ||||||||
Contralateral Controls | Kv2.1-IR Mean Macrocluster Area (μm2) | 9.24 ± 5.17 | 8.81 ± 4.03 | 7.28 ± 3.62 | 9.35 ± 3.76 | 8.65 ± 3.59 | 7.81 ± 3.54 | 9.01 ± 3.64 |
Clusters, Cells, Animals sampled | n=504, 49, 3 | n= 920, 75, 3 | n= 519, 24, 2 | n= 1123, 77, 5 | n= 747, 47, 4 | n= 1116, 51, 3 | n= 1204, 62, 2 |
±SD
To determine if the number of Kv2.1-IR macroclusters is restored after reinnervation, Kv2.1-IR macroclusters (diameters >1μm) were counted on MN somas at 20 minutes, 3 days, 8 days, 2 weeks, 4 weeks and 6 months following tibial nerve crush (figure 6B). Significant differences in the number of Kv2.1-IR macroclusters exist between the injured αMNs and sham surgery control with approximately 31% reduction 3 days following nerve crush and progressing to a maximum 54% reduction at 8 days following crush and returning to about 85% of normal 6 months after injury (figure 6B).
In a separate set of experiments, over the same time points post injury, we sought to determine the effects on Kv2.1-IR clustering when reinnervation was prevented through tibial nerve ligation (see methods). Following ligation, there is a gradual, yet ultimately significant declustering of Kv2.1-IR macrocluster areas. Significance is reached 3 days following this type of injury, when there is a 25% reduction in Kv2.1-IR macrocluster area, and a maximal 34% reduction by 4 weeks after the tibial nerve ligation when compared to sham surgery controls. Interestingly, by 6 months, the average Kv2.1-IR macrocluster areas are no longer significantly different from the sham controls (figure 7A&B, table 2). Similar to the tibial nerve crush injury, there is a significant decrease in the number of Kv2.1-IR macroclusters, but this too occurs over a slower time course, with a maximum 40% reduction 2 weeks after ligation (figure 7B).
Table 2.
TIBIAL NERVE LIGATION INJURY
| ||||||||
---|---|---|---|---|---|---|---|---|
Sham | 20 min | 3 Day | 8 Day | 2 Week | 4 Week | 6 Month | ||
Injury (ipsilateral) | Kv2.1-IR Mean Area (μm2) | 8.19 ± 5.50 | 7.77 ± 4.13 | 6.51 ± 4.59 | 6.18 ± 4.06 | 5.66 ± 3.95 | 5.43 ± 4.18 | 8.07 ± 5.11 |
Clusters, Cells, Animals sampled | n=521, 64, 2 | n=624, 74, 2 | n=453, 50, 2 | n=319, 33, 2 | n=617, 83, 2 | n=466, 68, 3 | n=522, 73, 3 | |
| ||||||||
Contralateral Controls | Kv2.1-IR Mean Area (μm2) | 8.18 ± 4.84 | 8.00 ± 4.75 | 7.75 ± 4.65 | 8.10 ± 4.89 | 7.23 ± 4.37 | 6.71 ± 3.98 | 8.22 ± 4.86 |
Clusters, Cells, Animals sampled | n=589, 58, 2 | n=537, 54, 2 | n=523, 61, 2 | n=301, 30, 2 | n=766, 72, 2 | n=482, 65, 3 | n=682, 74, 3 |
±SD
Using the same 3-D reconstruction techniques preciously described for the tibial nerve crush injury, we calculated the Kv2.1 macrocluster areas on proximal dendrites of MG/LG αMNs following tibial nerve ligation. For these analyses we selected 4 weeks post ligation due to the maximum effect of ligation on somatic αMN Kv2.1-IR macroclusters. On proximal dendrites, there is a significant 23% reduction in soma Kv2.1-IR macrocluster areas (sham surgery control 13.42μm2 ± 6.054 SD, n=299 clusters, 20 αMNs, 2 rats; injured 10.347μm2 ± 6.388 SD, n=125 clusters, 10 αMNs, 2 rats). No significant differences of Kv2.1 macrocluster areas were ever found within the population of the control MNs that were 3-D reconstructed.
2.5 Bilateral Kv2.1-IR declustering occurs following PNI
As mentioned in section 2.2, we found that Kv2.1-IR redistribution occurs bilaterally following PNI. Kv2.1-IR macroclusters on the αMN cell body also decrease on the uninjured contralateral side following PNI (figure 6A). The contralateral effect in the tibial nerve crush results in a significant maximum 22% reduction at 3 days post injury compared to sham surgery controls, and there is complete recovery of cluster size by 8 days. However, this recovery appears to be transient, because a second significant reduction (16%) occurs at 28 days. While this biphasic contralateral effect is present and significant, there was, however, a greater decrease in Kv2.1-IR macrocluster area on the corresponding ipsilateral side at all time points. Like the tibial nerve crush, there is also a small yet significant contralateral effect (18% maximum reduction in Kv2.1-IR macrocluster area) on the contralateral side 28 days following ligation (figure 7A). While not significant, there is a trend resembling the biphasic response observed in the tibial nerve crush injury, with an initial transient reduction (5%) in Kv2.1 cluster size 3 days after the ligation injury.
2.6 No Changes in Motoneuron Cell Diameter following Peripheral Nerve Injury
Axotomy can cause morphological changes in neurons such as cell shrinkage, dissolution of nissl bodies, and acentric localization of the nucleus, all referred to as chromatolysis. Axotomy, and associated chromatolysis, was used to identify central motor cell columns in the cat before the development of retrograde tracers (Romanes, 1951). However, unlike our PNIs, repeated acute injury to the peripheral nerves was necessary for generating the degree of chromatolysis necessary for identifying the motor pools. Here, we sought to determine if the changes in Kv2.1-IR cluster areas are a result of changes in MN sizes, first by determining if any correlations exist between Kv2.1 cluster sizes and MN diameter, and secondly to determine if there are detectable cell diameter changes following axotomy. In sham surgery control MNs, there was no correlation between Kv2.1-IR cluster sizes and the mean cell diameter of the MG/LG MNs (n=520 clusters, 80 cells, 2 rats) (supplemental figure 1A). Furthermore, there were no significant changes in the mean cell diameter 8 days after the tibial nerve crush and 4 weeks after tibial nerve ligation when compared to contralateral controls (supplemental figure 1B). It is therefore unlikely the observed changes in Kv2.1-IR macrocluster areas following axotomy are a result of changes in MN size.
3. Discussion
Members of the voltage-gated potassium channel family are essential for numerous neuronal functions, and have been implicated in a wide variety of responses ranging from neuroprotection to apoptosis. Kv2.1 channels underlie delayed rectifyer currents in many central neurons, including MNs where they are expressed in high-density clusters (Blaine and Ribera, 2001; Muennich and Fyffe, 2004). The striking membrane organization of Kv2.1 channels makes them a valuable model for study of channel regulation under conditions of altered activity including injury. In hippocampal cells, Kv2.1 undergoes dynamic membrane declustering following increased activity both in vivo (ischemia, hypoxia and seizure) and in vitro (glutamate application) (Misonou et al., 2004; Misonou et al., 2005). Furthermore, an increase in Kv2.1 clustering has been observed in some model systems, triggered by physiological stimuli such as repetitive firing, or removal of pathological stimuli (Aras et al., 2009; Cerda and Trimmer, 2011; Misonou et al., 2004; Misonou et al., 2006; Mulholland et al., 2008; Zhang et al., 2008). Here we show, for the first time, glutamate induced Kv2.1 cluster dispersal in lumbar spinal MNs, in vitro. This in vitro cluster dispersal occurs on a time scale (<10 minutes) similar to that previously reported for hippocampal and HEK293 cells. Moreover, we demonstrate in vivo axotomy as a novel stimulus causing significant rapid declustering of Kv2.1, as early as 20 minutes, representing the earliest accessible time point following surgical axotomy. Similar to ischemia, hypoxia, and glutamate application, axotomy induced Kv2.1 declustering is likely a product of altered activity.
Peripheral nerve injury is complex because it results in axotomy of both MNs and sensory afferents known to modulate MN function; however, given its clinical relevance, it remains a valuable model from which to extract new information on the capacity of central neurons to respond to and recover from injury. Although the results of axotomy and reinnervation studies depend on a large number of factors (e.g. lesion location, age, degree of reinnervation, etc.), several consistent outcomes have been reported by a number of laboratories (Eccles et al., 1958; Kuno and Llinas, 1970a; Kuno and Llinas, 1970b; Kuno et al., 1974a; Kuno et al., 1974b; Kuno, 1976). Within several days following PNI there are many changes in MN intrinsic properties, such as reduction in rheobase, modulation of AHP, increase in input resistance, and slowing of axonal conduction velocity proximal to the injury (Bichler et al., 2007; Gustafsson and Pinter, 1984; Kuno et al., 1974b; Nakanishi et al., 2005). Interestingly, most membrane properties appear to return to pre-axotomy states upon reinnervation of the peripheral targets (Bichler et al., 2007; Kuno et al., 1974a; Nakanishi et al., 2005). The altered membrane properties following axotomy likely reflect the cumulative alterations to multiple channel types, including Kv2.1, that contribute to a coordinated cellular response.
In this study, we sought to determine what happens to Kv2.1-IR distribution in the absence or presence of reinnervation by the injured neurons, using a tibial nerve crush injury that permits reinnervation of the peripheral target (Fournier and Strittmatter, 2002; Nguyen et al., 2002) and a ligation injury that prevents reinnervation. As a consequence of initial axon injury in each model we expected the time course of manifestation of injury responses to be similar at least until the time of reinnervation that occurs about 4–6 weeks after crush injury (Alvarez et al., 2011; Bichler et al., 2007). However, long before reinnervation occurs, we observed injury type-specific changes. Most surprisingly, the magnitude of effects on Kv2.1 immunoreactivity was apparently greater following nerve crush than following nerve cut and ligation. Paradoxically, after reinnervation occurs, normal Kv2.1 cluster sizes are not fully restored; however, cluster sizes do recover when reinnervation is prevented.
Other investigators have reported injury-type specific changes (Bullinger et al., 2011; He et al., 1996; Nielsch et al., 1987; Prather et al., 2011; Waite and Cragg, 1982). However, even when muscle reinnervation occurs, the initial form of injury (crush or cut) provokes different outcomes. In the cat, when muscles reinnervated by crushed nerves are stretched, MNs yield a more forceful reflex contraction despite the decrease in monosynaptic stretch evoked EPSPs (Prather et al., 2011). Contrasting results were observed in both rat and cat in which nerves were cut and the stretch reflex is absent following reinnervation (Alvarez et al., 2010; Bullinger et al., 2011; Cope and Clark, 1993). The range of pathophysiological and structural changes now observed following crush or cut injuries suggests that additional investigation into the differences between cut and crush nerve injury are warranted.
One significant structural change that occurs after peripheral nerve injury is the loss of synaptic inputs on MNs (synaptic stripping) (Alvarez et al., 2011; Blinzinger and Kreutzberg, 1968; Brannstrom and Kellerth, 1998; Brannstrom and Kellerth, 1999; Gonzalez-Forero et al., 2004; Hughes et al., 2004; Sumner, 1975; Tiraihi and Rezaie, 2004). Moreover, there is a permanent loss of vesicular glutamate transporter isoform 1 (VGLUT1) positive primary sensory afferent synapses following nerve cut and a transient reduction of synaptic coverage from cholinergic C-boutons MNs that is partially restored upon peripheral reinnervation (Alvarez et al., 2010; Alvarez et al., 2011; Bullinger et al., 2011; Sumner, 1975). Because ‘macroclusters’ of Kv2.1-IR are selectively apposed to C-boutons (Muennich and Fyffe, 2004), it is interesting that the time course of effects on these clusters mirrors the VAChT-IR stripping in nerve cut injuries. The role that synaptic stripping has in the regulation and dysregulation of Kv2.1 clusters is currently unknown, and any speculation here is complicated by the paucity of data on synaptic stripping following nerve crush injuries.
3.1 Kv2.1 and Homeostatic Plasticity
Kv2.1 has increasingly been described as a target for mechanisms of homeostatic plasticity (Cudmore and Turrigiano, 2004; Kihira et al., 2010; Misonou et al., 2004; Misonou et al., 2008; Nataraj et al., 2010; Surmeier and Foehring, 2004). Neuronal homeostatic plasticity reflects the ability of a neuron to respond to changes in activity and maintain an optimal level of output. Multiple homeostatic mechanisms have been described, invoking both pre- and post-synaptic changes (Burrone and Murthy, 2003; Murphy, 2003; Schulz et al., 2006; Surmeier and Foehring, 2004; Walmsley et al., 2006). These include ‘synaptic scaling’, reducing synaptic strength at presynaptic inputs in response to increased postsynaptic activity (Turrigiano et al., 1998). Regulation of postsynaptic machinery through either translational/transcriptional regulation or post-translational modifications may play a major role in homeostatic responses. Activation of immediate early genes (Leah et al., 1991; Sheng and Greenberg, 1990), which are known to regulate activity dependent expression of certain proteins including potassium channels (Leao et al., 2010), can occur within an hour of PNI (New et al., 1989). However, the slow time course for transcription, translation and trafficking to the membrane would not allow de novo expression or downregulation of ion channels to compensate for immediate changes in activity. Trafficking through the Golgi apparatus alone in cell lines can take up to 20 minutes (Patterson et al., 2008). Here, we saw a significant decrease in the Kv2.1 cluster area within 20 minutes following crush injury. This supports that idea that regulation of Kv2.1 in MNs is likely to be a consequence of post-translational modification, such as changes in redox state or phosphorylation. In hippocampal pyramidal neurons and cell cultures, the lateral translocation of Kv2.1 is homeostatically regulated through calcineurin dependent dephosphorylation (Misonou et al., 2004; Misonou et al., 2005; Murakoshi et al., 1997; Park et al., 2006). This effect is mimicked by injecting phosphatases into the cell and is blocked with calcineurin inhibitors (Misonou et al., 2004; Misonou et al., 2005; Mohapatra et al., 2009). Given the speed at which declustering occurs in the spinal cord after injury (within 20 minutes), regulation through phosphorylation mechanisms appears to be a likely candidate. Regulating MN excitability and activity through modification of post-synaptic voltage-gated ion channels, such as Kv2.1, may be a more energetically favorable mechanism because regulating the firing rate can be isolated to just the cell body and proximal dendrites of the neuron rather than requiring changes in thousands of input synapses (Kihira et al., 2010). The signal that triggers the response is not yet defined, but it is possible that the instantaneous ‘injury discharge’ in sensory and motor axons can change activity sufficiently to evoke the rapid post-translational modifications of channel state. It is also possible that the magnitude and duration of injury discharges following different types of insult may differ and be sufficient to trigger different and long-lasting regulatory changes.
Placing axotomy-induced responses of MNs in the context of homeostasis is difficult because the exact in vivo activity level of MNs, and their state dependent modifications, following PNI and the instantaneous but relatively brief injury discharge is unknown. Moreover, multiple factors, including pre- and postsynaptic changes are likely to coordinate in the injury response to increase or decrease activity. Phosphatases regulate Kv2.1 channels in two critical ways, simultaneously altering both localization and channel activity. Modeling suggests that the disruption of Kv2.1 clusters, with all other factors constant, results in decreased excitability (Mohapatra et al., 2009; Surmeier and Foehring, 2004). However following axotomy, MNs become more excitable. One possible explanation to this paradox is that homeostatic mechanisms may not be strong enough to overcome pathophysiologically induced or sustained hyperexcitability (Misonou et al., 2004; Misonou et al., 2005; Misonou et al., 2008; O’Leary et al., 2010). It has been speculated that some ‘homeostatic’ mechanisms may instead be providing neuroprotection against neuronal damage and death (Misonou et al., 2005; Surmeier and Foehring, 2004). For example, in the brain Kv2.1 is clustered near astroglial processes expressing high levels of glutamate transporter (Misonou et al., 2008). During ischemia, the astrocytes become dysfunctional resulting in an accumulation of extracellular glutamate. The positioning of the Kv2.1 clusters permits a rapid response to the high glutamate levels thus potentially protecting the neuron from a potentially damaging excitotoxic effect (Misonou et al., 2008; Misonou, 2010). In the rat lumbar spinal cord, Kv2.1-IR clusters are selectively localized at specific synapses and at glial sites (Muennich and Fyffe, 2004) and are thus also appropriately positioned for a quick neuroprotective response to excitatory insult.
There are still unanswered questions about what happens to the phosphorylation state of the channels after the declustering of Kv2.1. The restoration of cluster areas could be explained by alterations in the ratio of kinase to phosphatase activity or because of protein turnover. However, protein turnover is not likely to be the sole reason for reclustering. In quantum dot assays in HEK cells, new channels are regularly trafficked to the Kv2.1 clusters (O’Connell et al., 2006). This trafficking is frequent enough that within twelve minutes there is significant GFP recovery of a photobleached Kv2.1 cluster (O’Connell et al., 2006). Our data here shows that there is continued declustering of Kv2.1 clusters for at least 8 days after the injury suggesting that some other mechanism is regulating and maintaining the declustered state. Furthermore, constitutive insertion of de novo proteins to the membrane may also explain why we are never completely devoid of Kv2.1 clusters.
Kv2.1 also has a role in mediating the K+ loss in apoptosis. Increased phosphorylation of S800 in the C-terminal tail of Kv2.1 by p38 Map Kinase leads to enhanced K+ currents through SNARE mediated membrane insertion in cultured cells (Redman et al., 2007; Yao et al., 2009). This site is distinct from the identified calcineurin dependent phosphorylation sites that play a role in homeostatic plasticity (Kihira et al., 2010; Misonou et al., 2004; Park et al., 2006). Here we see evidence that Kv2.1 reversibly declusters, suggesting that the regulation of Kv2.1 after PNI is dynamic and is likely a protective, or homeostatic, response rather than an apoptotic response. This suggests that different pathological conditions can give rise to differential Kv2.1 expression and/or modification mediating multiple physiological effects.
3.2 Contralateral Effect
There are a range of well-documented pathophysiological changes in the spinal cord following unilateral peripheral nerve lesions, including effects on the contralateral side (Koltzenburg et al., 1999). Generally, as is the case with our observations here, the contralateral effects are qualitatively similar to those occurring on the ipsilateral side, but with smaller magnitudes and briefer time courses. Our comparisons of effects in control animals undergoing sham surgery as well as naïve controls, at different time points post surgery revealed that sham surgery does not trigger any changes. It is also unlikely that the contralateral effect is compensatory from the animal using the uninjured leg more, because as in injured motoneurons the decrease in cluster size is already measurable within twenty minutes, before any post-surgical locomotor activity could occur. Thus the contralateral effects must be a product of the peripheral nerve injury itself.
Evidence exists to support both multiple humoral and neuronal mechanisms contribute to a wide range of contralateral effects in rats. It is well established that inflammatory responses contribute to a variety of effects in the central nervous system within the first three days following trauma (Gaudet et al., 2011). It is unknown whether the effect on Kv2.1 expression and localization in contralateral, uninjured, motoneurons results from a systemic inflammatory response or from some other neuronal mechanism (Jancalek et al., 2010; Jancalek et al., 2011; Koltzenburg et al., 1999; Lu and Richardson, 1993; Pachter and Eberstein, 1991). The specific mechanisms underlying the biphasic contralateral response shown here are also unknown. Interestingly, studies of other biophysical properties also detect biphasic responses with peaks at 3 and 28 day time periods following injury (Mizisin and Weerasuriya, 2011; Weerasuriya and Hockman, 1992). Nonetheless, our results further emphasize that caution should be used when using internal bilateral controls to interpret changes in spinal systems.
3.3 Conclusions
Here we show that the dynamic reorganization of Kv2.1 previously shown in other neuronal types also occurs in rat lumbar spinal MNs following increased activity. Moreover, we demonstrate and quantify novel effects on the membrane distribution of Kv2.1 ion channels on rat lumbar spinal MNs following PNI. The dynamic changes in membrane channel localization include a progressive decline in cluster size immediately after axon injury followed by gradual recovery of cluster size over the next several months. Upon motor axon reinnervation of muscle tissue, Kv2.1 clusters do not completely restore to pre-injury sizes, however in the absence of reinnervation, Kv2.1 clusters fully restore. Furthermore, unilateral peripheral nerve injury evokes parallel, but smaller, effects contralaterally in uninjured motoneurons. Altogether these results suggest that in MNs Kv2.1 declustering is likely a homeostatic response to altered activity and its regulation following axon injury is largely independent of muscle reinnervation.
4. Experimental Procedures
All animal procedures were performed according to National Institutes of Health (NIH) guidelines and reviewed by the local Laboratory Animal Use Committee at Wright State University.
4.1 Peripheral Nerve Injuries and Retrograde Labels
Adult female Sprague Dawley rats (250–350 grams) underwent a series of two survival surgeries. In the first surgery the medial and lateral gastrocnemius muscles were injected with a fluorescent tracer to retrogradely label MNs for post-hoc identification in the spinal cord (figure 1). Rats were deeply anesthetized with 5% isoflurane and maintained with 2–3% isoflurane. An Incision was made using sterile technique over the left hindlimb and through biceps femoris muscle to reveal the triceps surae. A total of 40–50 μL of either hydroxystilbamidine (Biotium, Inc., Hayward, CA, USA; 4%), FastBlue (Polysciences, Inc., Warrington, PA, USA; 2%) or Cholera Toxin Subunit B, CTB, (Invitrogen, Carlsbad, CA, USA; 0.5%) was injected into the medial and lateral gastrocnemius muscle in a series of multiple small injections throughout the two muscles. The wound was irrigated and closed in layers. Three days later, the incision was reopened and the tibial nerve was dissected away from surrounding tissues and exposed. The tibial nerve was either crushed, by applying pressure for 10 sec with fine jeweler’s forceps, or ligated, by using microscissors and silk suture to ligate nerve and prevent reinnervation. The wound was irrigated and closed. Surgery was not performed on the right hindlimb to provide uninjured internal controls. Animals received 0.1 ml of 0.3 mg/ml buprenorphine every 12 hours for post-operative pain medication for 48 hours and were monitored closely by professional staff. The sham surgery control animals underwent the same surgical procedures described above except the tibial nerve was only exposed rather than injured. Nerve injured and sham control animals were analyzed at similar post-operative time points
4.2 Immunohistochemistry
All animals were anesthetized with pentobarbital (150 mg/kg, i.p) and transcardially perfused with 4% paraformaldehyde in 0.1M phosphate buffer at pH 7.3. The spinal cords were removed, post fixed for 2 hours and cryoprotected in 15% sucrose in 0.1M phosphate buffer. 50 μm transverse sections were obtained from the L4 and L5 spinal cord segments on a cryostat and immunostained free floating. Kv2.1 immunocytochemistry was performed using mouse anti-Kv2.1 clone D4/11 (catalog number 75-047) at 1:1000 in PBS with 0.1% Triton X pH 7.3 that was developed and/or obtained from the UC Davis/NINDS/NIMH Neuromab facility, supported by NIH grant U24NS0506060 and maintained by the Department of Pharmacology, School of Medicine, University of California, Davis, CA. Immunoreactivity was detected with species specific secondary antibodies conjugated to Cy3 (Jackson Immuno, West Grove, PA, USA). Nissl immunocytochemistry was performed using fluorescein-conjugated nissl (1:100, Molecular Probes, Carlsbad, CA, USA).
4.3 Spinal Cord Slice Preparations
Young Sprague Dawley Rats, P14, (Charles River, Wilmington, MA, USA) were anesthetized with 65mg/ml pentobarbital and decapitated. The spinal cords were immediately dissected in <4°C sucrose modified artificial CSF (26mM NaHCO3, 10mM Glucose, 3mM KCl, 1.25mM NaPO4, 2mM MgCl2, and 218mM Sucrose) with bubbling 95% O2 and 5% CO2. Transverse sections, 300 μm thick, of the L4 – L5 region of the spinal cord were cut on Vibratome Series 1000 Plus (The Vibratome Co., St. Louis, MO, USA). Slices were briefly incubated in 30% PEG (Carp et al., 2008) and transferred to oxygenated aCSF (130 mM NaCl, 26mM NaHCO3, 10mM Glucose, 3mM KCl, 1.25mM NaPO4, 2mM MgCl2, 2mM CaCl2 at 300–310 mOsm) and incubated 1 hour at 37°C to stabilize. Sections were incubated in either 10 μm L-Glutamate (Sigma, St. Louis, MO) diluted in aCSF or aCSF alone for 10 minutes, longer times in glutamate increased cell death. Addition of glutamate to aCSF had minimal effect on osmotic pressure of the solution. Immediately following incubations, the slices were immersion fixed in 4% paraformaldehyde overnight. Tissue slices were sectioned further (50 μm) on cryostat and immunohistochemistry was performed as previously described (refer to immunohistochemistry methods).
4.4 Confocal Microscopy and Quantitative Analysis
Immunolabeled lumbar αMN images were obtained on a Fluoview FX Olympus (Center Valley, PA, USA) confocal system for tibial nerve crush studies and Fluoview 1000 Olympus (Center Valley, PA, USA) confocal microscope for the tibial nerve ligation studies with a 60x oil immersion objective at 0.5 μm steps at 1.0–2.5 digital zoom (N.A 1.35). For every ipsilateral injured αMN imaged and analyzed, a contralateral injury spared αMN was also selected as an internal bilateral control. Uninjured MNs selected for internal control analysis were of approximate size and position within the motor pools on the contralateral side within each tissue slice. In 4 animals, the uninjured αMNs were retrogradely labeled with different color conjugated fluorophores to differentiate from the injured αMNs. No significant differences were found between these retrogradely labeled uninjured αMNs from the αMNs selected based on size and location (data not shown). Sham surgery control animals that contained the retrograde tracers were used to verify and quantify the ipsilateral and contralateral effects observed following PNI. Image stacks were quantitatively analyzed for Kv2.1-IR cluster areas as previously described (Muennich and Fyffe, 2004) in Image Pro Software (Media Cybernetics, Silver Springs, MD, USA). Cell body Kv2.1-IR macroclusters (diameter >1.0μm), were measured in en face single optical sections on MNs that innervate the medial and lateral gastrocnemius as revealed by retrograde labels (figure 1). All Kv2.1-IR microcluster (diameter <1.0μm) analyses were performed by selecting regions of interest in single optical confocal sections that did not contain macroclusters. Mean cell body diameters were calculated using averaging applications in Image Pro Software based on plasma membrane labeling on single optical sections through the center of the neuron containing the nucleolus. For all analyses, injured MNs were compared to both contralateral internal controls as well as sham surgery control animals. Significance was set at p<0.05 using Pairwise ANOVA and Pairwise T-Test (SigmaStat; Systat Software, Port Richmond, CA, USA).
4.5 Dendritic Analysis and Reconstructions
Our conventional methods for measuring soma Kv2.1 cluster areas were not suitable for measuring cylindrical dendrites due to limited availability of en face dendritic membrane through which accurate 2-D measurements can be obtained. Dendritic Kv2.1 macrocluster areas and numbers were calculated by 3D reconstructions of the confocal image stacks through Imaris Software (Bitplane Scientific Software, Zurich, Switzerland). Prior to being reconstructed, the confocal images where deconvolved on Huygens Essential Software (Scientific Volume Imaging, Hilversum, Netherlands) to reduce noise and z-plane distortion. The deconvolved confocal image stacks were imported into Imaris software where the image is displayed as a 3-dimentional isometric view. Surface rendering and thresholding was used to create a 3-D solid surface of the CTB filled motoneuron and Kv2.1-IR clusters with careful attention to accurately match anatomic dimensions. A masking feature in Imaris software allowed only the Kv2.1 clusters contacting the CTB- filled motoneuron to be selected for analysis. The proximal dendrites and associated Kv2.1-IR clusters were digitally dissected from the soma for analysis. Kv2.1-IR cluster areas from proximal dendrites were exported from the software for statistical analysis. The reconstructed MNs were from 50 μm thick tissue slices, an appropriate thickness for consistently analyzing dendritic lengths up to 150 μm traveling through 3-D space. Kv2.1-IR macrocluster areas located on control MN somas obtained through 3-D reconstructions were not found to be significantly different from the areas measured using our conventional techniques previously described (data not shown).
4.5 Figure composition
Microscope images were prepared by adjusting contrast and brightness in Image Pro Plus Software (Media Cybernetics, Bethesda, MD, USA) and always preserved all the information content of the images. Figures were composed using CorelDraw (v. 12.0). Graphs were composed in SigmaPlot (version 9.0, Systat Software, SPSS Inc, Chicago, IL, USA). Data presented in figures is mean ± SEM. Standard Deviations are listed in tables 1 and 2. Some images were sharpened using a “high gauss” filter in image pro. Quantification was always carried out in original unprocessed images.
Supplementary Material
Highlights.
Kv2.1 ion channel distribution is altered by activity in spinal motoneurons
Peripheral nerve injury causes dynamic redistribution of motoneuron Kv2.1 channels
Unilateral nerve injury impacts uninjured contralateral motoneurons
Kv2.1 channel restoration is independent of proper axon reinnervation
Acknowledgments
This work was supported in part by funds from the NIH grant number 5P01 NS057228.
We thank Mrs. Lori Goss for her invaluable time with animal surgeries and handling, and Raychel Santo for her time and contribution with the cut model analysis and Kv2.1 cluster size correlations.
We thank Dr. David Ladle for use of his Imarus Software that enabled us to perform the dendritic analysis in this body of work.
We thank Dr. Mark Rich for his invaluable time in reviewing this article and for his insightful comments.
We are grateful for the generous contributions in time and resources from Drs. Timothy C. Cope, Francisco Alvarez, and Kathrin Engisch.
We thank Bev Grunden of Wright State University’s Statistical Consulting Center for statistical guidance.
Abbreviations
- MN
Motoneuron
- PNI
Peripheral Nerve Injury
- IR
Immunoreactivity
- CTB
Cholera Toxin Subunit B
- MG
Medial Gastrocnemius Muscle
- LG
Lateral Gastrocnemius Muscle
Footnotes
Author Contributions
REWF conceived experiments and interpreted data. REWF, ASD, and SHR wrote the manuscript. SHR directed all experiments. SHR, KMD, MWG, and RCT performed immunohistochemistry, quantitative microscopic analysis and interpreted data. All experiments and analysis were performed in the laboratory of REWF. All authors critically reviewed the manuscript for accuracy and important intellectual content.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding organizations acknowledged above.
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Contributor Information
Shannon H. Romer, Email: Shannon.romer@wright.edu.
Kathleen M. Dominguez, Email: Kmdominguez@juno.com.
Marc W. Gelpi, Email: gelpi.2@wright.edu.
Adam S. Deardorff, Email: deardorff.2@wright.edu.
Robert C. Tracy, Email: robert.tracy@osumc.edu.
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