Abstract
Using the blind whole cell patch-clamp recording technique, we investigated peripheral nerve injury-induced changes in excitatory synaptic transmission to neurones in lamina II of the dorsal horn. Partial (i.e. chronic constriction injury (CCI) and spared nerve injury (SNI)) and complete (i.e. sciatic nerve transection (SNT)) peripheral nerve injury altered the mean threshold intensity for eliciting A fibre-mediated EPSCs in lamina II neurones. Following SNT and CCI, EPSC threshold was significantly decreased, but following SNI, EPSC threshold was increased (naive: 32 ± 2 μA, SNT: 22 ± 2 μA, CCI: 23 ± 2 μA, SNI: 49 ± 4 μA; P < 0.01, Student's unpaired t test). Despite this disparity between models, dorsal root compound action potential recordings revealed no significant difference in the conduction velocity or activation threshold of Aβ and Aδ fibres in naive, SNT, CCI and SNI rats. In addition to the changes in EPSC threshold, we also observed a shift in the distribution of EPSCs. In spinal cord slices from naive rats, polysynaptic Aβ fibre-evoked EPSCs were observed in 24 % of lamina II neurones, monosynaptic Aδ fibre EPSCs were observed in 34 % and polysynaptic Aδ fibre EPSCs were observed in 7 %. Following SNT and CCI, the percentage of neurones with polysynaptic Aβ fibre EPSCs increased to ≥ 65 % of the sampled population, while the percentage of neurones with monosynaptic Aδ fibre EPSCs decreased to < 10 %. The percentage of neurones with polysynaptic Aδ fibre EPSCs was unchanged. In contrast, following SNI, Aβ fibre EPSCs decreased in incidence while the percentage of neurones with polysynaptic Aδ fibre EPSCs increased to 44 %. Similar to the other injury models, however, monosynaptic Aδ fibre EPSCs decreased in frequency following SNI. Thus, excitatory synaptic transmission is subject to divergent plasticity in different peripheral nerve injury models, reflecting the complexity of responses to different forms of deafferentation.
In naive animals, there is a distinct laminar termination of primary afferent neurones in the spinal dorsal horn, such that lamina II (substantia gelatinosa; SG) receives predominantly high-threshold inputs from thinly myelinated Aδ and unmyelinated C primary afferent fibres (Willis & Coggeshall, 1991). Consequently, electrophysiological recordings from SG neurones in adult spinal cord slices reveal a characteristic distribution of EPSCs in response to dorsal root stimulation (Baba et al. 1999). Aβ fibre-evoked polysynaptic EPSCs are observed in only a very small proportion of SG neurones, while, mono- and/or polysynaptic Aδ fibre-mediated EPSCs are detectable in the vast majority (Yoshimura & Nishi, 1993; Baba et al. 1999).
Following complete peripheral nerve injury, Aβ fibres sprout from their normal termination site in the deep dorsal horn into the SG (Woolf et al. 1992, 1995; Koerber et al. 1994). Though some controversy exists regarding the extent and pattern of such central sprouting (Bao et al. 2002), novel mono- (Kohama et al. 2000) or polysynaptic (Okamoto et al. 2001) Aβ fibre-mediated EPSCs begin to be observed in SG neurones following a sciatic nerve transection. Anatomical changes compatible with A fibre sprouting have also been reported following chronic constriction injury (CCI) of the sciatic nerve (Nakamura & Myers, 1999), a partial nerve injury model where some intact peripheral innervation and input to the dorsal horn remains.
In addition to central sprouting, peripheral nerve injury is associated with atrophic changes in central afferent terminals (Kapadia & LaMotte, 1987), which might alter excitatory synaptic transmission. Changes also occur in intrinsic dorsal horn neurones, for example, partial (spared nerve injury (SNI) and CCI), but not complete, sciatic nerve injury results in a selective loss of GABAA-mediated IPSCs in lamina II neurones (Moore et al. 2002). Alterations in excitatory synaptic transmission produced by partial peripheral nerve injury have not yet been examined. We have now investigated excitatory synaptic responses in SG neurones following two types of partial sciatic nerve injury, CCI and SNI, and after a complete sciatic nerve transection (SNT), to assess excitatory synaptic drive following these different forms of deafferentation.
Methods
Peripheral nerve injury models
As approved by our Institutional Animal Care and Use Committee, SNT, CCI or SNI was performed on the left sciatic nerve of adult male Sprague Dawley rats (5–6 weeks) under halothane (2.5 %) anaesthesia. For SNT, the sciatic nerve was ligated and severed in the popliteal fossa. For CCI, four 4–0 chromic gut sutures spaced ∼1 mm apart were loosely tied around the sciatic nerve proximal to the trifurcation (Bennett & Xie, 1988). For SNI, the common peroneal and tibial nerve branches of the sciatic nerve were tightly ligated with 5–0 silk and sectioned distal to the ligation (Decosterd & Woolf, 2000). All CCI and SNI rats developed mechanical and cold allodynia within 4 days of injury which persisted for > 2 weeks post injury.
Spinal cord slice preparation and electrophysiological recording
Spinal cords were removed from naive and nerve-injured rats under urethane anaesthesia (1.5 g kg−1, i.p.). Thick (600–650 μm) spinal cord slices with the L4 dorsal root (10–20 mm) left intact were prepared from naive adult rats (7–8 weeks) and rats subjected to nerve injury (SNT or CCI or SNI, 7–8 weeks, 2 weeks post injury) as described previously (Yoshimura & Nishi, 1993) (Fig. 1A). Following preparation, slices were perfused with oxygenated Krebs solution (10 ml min−1; 36 ± 1°C; composition (mm): NaCl 117, KCl 3.6, CaCl2 2.5, MgCl2 1.2, NaH2PO4 1.2, NaHCO3 25 and d-glucose 11) in the recording chamber for at least 30 min prior to recording. Whole cell patch pipettes were fabricated from borosilicate glass capillaries (1.5 mm o.d., World Precision Instruments Inc.) and averaged 5–10 MΩ when filled with internal solution (mm): Cs2SO4 110, CaCl2 0.5, MgCl2 2, TEA-Cl 5, ATP-Mg salt 5, EGTA 5 and Hepes 5). Membrane currents were amplified with an Axopatch 200A (Axon Instruments). Signals were filtered at 2 kHz and digitised at 5 kHz. Data was collected using pCLAMP6.3 or 8.0 and analysed using pCLAMP and Mini-analysis software (Synaptosoft, Inc., Decatur, USA).
Figure 1. Dorsal root compound action potential recording.
A, schematic diagram of our configuration for whole cell recording of EPSCs and dorsal root recording of compound action potentials. B, representative graded intensity A fibre-evoked compound action potentials recorded extracellularly from naive and SNI rats are shown on the left. A summary of the Aβ and Aδ fibre stimulus-response relationships recorded in naive and nerve-injured rats is shown on the right (n = 5–8). Open symbols represent Aβ fibre responses, filled symbols represent Aδ fibre responses.
In the case of the SNI model, neurones in the medial SG of spinal segment L4 will receive input from the damaged tibial and common peroneal nerves while the lateral SG will have predominantly undamaged sural nerve inputs. In the CCI model, the input to the medial and lateral SG at L4 will be a combination of injured and uninjured afferents, while after SNT input to both the medial and lateral SG will be from damaged afferents. Spontaneous and synaptically evoked fast EPSCs were recorded only from medial SG neurones (which receive input from injured fibres in all three of the injury models) voltage clamped to −70 mV (Yoshimura & Nishi, 1993; Kohno et al. 1999). Synaptically evoked currents were elicited by graded intensity dorsal root stimulation sufficient to recruit Aβ, Aδ and C fibres. Classification of synaptic responses into Aβ, Aδ and C fibres was based on a combination of response threshold and conduction velocity. A fibre EPSCs were classified as monosynaptic if response latency remained constant and there was an absence of failures upon high-frequency (20 Hz) stimulation (Baba et al. 1999). Identification of monosynaptic C fibre-mediated EPSCs was based on an absence of failures with low frequency (1 Hz) stimulation (Ataka et al. 2000; Nakatsuka et al. 2000).
To determine primary afferent response thresholds and conduction velocities under our recording conditions, the dorsal root was stimulated orthodromically (0.05 ms for A fibres, 0.5 ms for C fibres) and compound action potentials were recorded extracellularly near the dorsal root entry zone (Fig. 1A). The A and C fibre conduction velocities observed in the current study are similar to those measured previously from compound action potential recordings (Baba et al. 1999; Kohama et al. 2000) and intracellular recordings from dorsal root ganglion neurones (Ataka et al. 2000; Nakatsuka et al. 2000).
Data analysis
Numerical data are expressed as means ±s.e.m. Statistical differences between naive and SNT, CCI or SNI rats were assessed using Student's unpaired t test. The z test was used to compare differences in percentage of neurones with a given type of EPSC. P < 0.05 was considered significant.
Results
Primary afferent threshold and conduction velocity are similar in the dorsal roots of naive and nerve-injured rats
Primary afferent fibres can be divided into three distinct groups, Aβ, Aδ and C, based on response threshold and conduction velocity of extracellularly recorded compound action potentials (Table 1). The A fibre stimulus-response relationship observed in the current study (Fig. 1B) is similar to that shown previously in our laboratory (Baba et al. 1999). At < 20 μA (0.05 ms), only Aβ fibres are activated. Above 20 μA (0.05 ms) Aδ fibres begin to be recruited. The Aβ fibre volley reaches a maximum at 50 μA; therefore any new response recruited above 50 μA is mediated by recruitment of Aδ fibres. It is not possible, however, to differentiate Aβ and Aδ responses between 20 and 50 μA (0.05 ms). To activate C fibres from naive rats, a stimulus > 200 μA is required with a pulse width of 0.5 ms.
Table 1.
Compound action potentials
Threshold (μA) | Conduction velocity (m s−1) | |||||
---|---|---|---|---|---|---|
Aβ (0.05 ms) | Aδ (0.05 ms) | C (0.5 ms) | Aβ | Aδ | C | |
Naive (n =13) | 15 ± 1 | 26 ± 1 | 262 ± 23 | 25.8 ± 1.2 | 7.9 ± 0.3 | 0.8 ± 0.1 |
SNT (n =5) | 14 ± 1 | 27 ± 1 | 225 ± 21 | 24.7 ± 1.1 | 8.0 ± 0.5 | 0.7 ± 0.2 |
CCI (n =10) | 15 ± 1 | 25 ± 1 | 245 ± 19 | 24.7 ± 1.1 | 7.8 ± 0.4 | 0.9 ± 0.1 |
SNI(n =8) | 13 ± 2 | 26 ± 3 | 140 ± 9* | 26.9 ± 2.0 | 8.8 ± 0.5 | 1.0 ± 0.1 |
Values are means ±s.e.m.
P < 0.05 compared to naive.
In agreement with earlier in vivo (Villiere & McLachlan, 1996) and in vitro (Baba et al. 1999) reports, the average conduction velocities of Aβ, Aδ and C fibres from naive rats are 25.8 ± 1.2 and 7.9 ± 0.3, 0.8 ± 0.1 m s−1, respectively (Table 1), and are similar for naive, SNT, CCI and SNI rats (Table 1). The response thresholds for activating Aβ and Aδ fibres do not change after any of the nerve lesions, but the activation threshold of C fibres is significantly reduced following SNI (Table 1).
Membrane properties and spontaneous excitatory synaptic responses of SG neurones are unaffected by peripheral nerve injury
The membrane potential of SG neurones from naive rats is −62 ± 1 mV (n = 60) and does not change following any of the nerve injuries (see Moore et al. 2002). The mean amplitude and frequency of spontaneous EPSCs are also unaffected by either partial or complete nerve injury (Fig. 2).
Figure 2. The amplitude and frequency of spontaneous EPSCs were unaffected by peripheral nerve injury.
A, representative traces of spontaneous EPSCs. B, summary of the amplitude and frequency of sEPSCs recorded in slices from naive (n = 14), SNT (n = 6), CCI (n = 9) and SNI (n = 15) rats.
The distribution of excitatory synaptic responses in SG neurones is altered following peripheral nerve injury
All SG neurones respond to dorsal root stimulation with EPSCs (n = 83 naive neurones; n = 29 SNT neurones; n = 57 CCI neurones and n = 43 SNI neurones, Fig. 3A). EPSCs that reliably follow high-frequency repetitive stimulation with a constant latency are considered monosynaptic, while EPSCs that display variable latencies and failures are considered polysynaptic (Fig. 3B).
Figure 3. The distribution of EPSCs in lamina II neurones is altered following peripheral nerve injury.
A representative EPSCs elicited by Aβ (10–25 μA, 0.05 ms), Aδ (25–50 μA, 0.05 ms) and C (250–500 μA, 0.5 ms) fibre stimulation. B fixed latencies and the absence of failures with high-frequency repetitive stimulation (20 Hz) defined A fibre inputs as monosynaptic. Conversely, variable latencies and the presence of failures with high-frequency stimulation defined inputs as polysynaptic. C, classification of EPSCs recorded in naive, SNT, CCI and SNI slices, n = 83, 29, 57 and 43, respectively. Responses were grouped based upon response threshold, conduction velocity and response to high-frequency repetitive stimulation (20 Hz). *P < 0.05.
EPSCs can be divided into different groups based upon response thresholds and latency (Aβ, Aδ and C), as well as responses to repetitive stimulation (putative mono- and polysynaptic) (Fig. 3B). Due to the stimulus response profile of the afferent volleys, it is not possible to distinguish between Aβ and Aδ responses at stimulus thresholds between ∼25 and 50 μA, therefore we classified responses between these stimulus intensities as Aβ/δ (Fig. 3C). Most (57 out of 83; 69 %) SG neurones recorded from naive rats exhibit either polysynaptic Aβ/δ or monosynaptic Aδ fibre-mediated EPSCs in response to dorsal root stimulation (Fig. 3C). A small proportion of naive neurones (20 out of 83; 24 %) display polysynaptic Aβ fibre-mediated EPSCs (Fig. 3C), in agreement with earlier findings (Yoshimura & Nishi, 1993; Baba et al. 1999), and one-third of the naive neurones (25 out of 83; 30 %) display monosynaptic C fibre-evoked EPSCs.
In contrast, the majority of SG neurones from SNT (21 out of 29; 72 %) and CCI (37 out of 57; 65 %) slices exhibit Aβ fibre-mediated EPSCs (P < 0.01, Fig. 3C). These Aβ fibre-evoked EPSCs, all appear to be polysynaptic, defined in terms of frequency following and absence of latency jitter. Following SNI, a large percentage of neurones (19 out of 43; 44 %, P < 0.01) receive polysynaptic Aδ fibre inputs, but only a small percentage display Aβ fibre-mediated EPSCs (5 %). In addition, monosynaptic C fibre-mediated EPSCs are decreased after SNI. The percentage of neurones with monosynaptic Aδ fibre EPSCs was reduced in all three peripheral nerve injury models.
The minimum stimulus intensity for eliciting A fibre-mediated EPSCs in slices from naive, SNT, CCI and SNI rats is shown in Fig. 4. In slices from SNT and CCI rats, mean EPSC threshold is significantly reduced compared to naive preparations. In contrast, mean EPSC threshold is significantly increased following SNI. The mean EPSC response threshold was 32 ± 2 μA (n = 81) for naive, 22 ± 2 μA (n = 29) for SNT, 23 ± 2 μA (n = 54) for CCI and 49 ± 4 μA (n = 37) for SNI.
Figure 4. Response thresholds for A fibre-mediated EPSCs are altered by peripheral nerve injury.
The mean A fibre response threshold was decreased following SNT (P < 0.01) and CCI (P < 0.01), but increased following SNI (P < 0.01). Arrows indicate mean thresholds.
Discussion
The three nerve injury models examined in this study differ considerably. SNT involves transection of all the axons of the sciatic nerve. CCI produces both inflammation and compression and lesions in some, but not all, myelinated and unmyelinated axons of the sciatic nerve (Basbaum et al. 1991). SNI involves transection only of the axons of the tibial and common peroneal nerves, leaving the sural nerve intact (Decosterd & Woolf, 2000). In both the CCI and SNI models, there is behavioural pain hypersensitivity, in the former it is in the whole area of the damaged sciatic nerve territory (Bennett & Xie, 1988) and in the latter, it is restricted to the intact sural nerve territory (Decosterd & Woolf, 2000). In both SNI and CCI rats, but not SNT rats, there is a loss of GABA-mediated IPSCs in lamina II neurones (Moore et al. 2002).
In this study, we utilised whole cell patch-clamp recordings from SG neurones to examine changes in excitatory synaptic inputs to the superficial dorsal horn. Our major findings are a shift in the response threshold and a reduction in the frequency following capacity of A fibres. Following both SNT and CCI, there is the novel appearance of a significant population of SG neurones with Aβ fibre-mediated EPSCs, suggestive of substantial functional reorganisation of low-threshold inputs compared with the normal pattern in naive animals. In contrast, following SNI, the stimulus-response relationship of A fibre-evoked EPSCs is shifted to the right (i.e. a higher intensity stimulation is required to evoke A fibre-mediated EPSCs). In all three nerve injury models, no changes in the frequency or amplitude of spontaneous EPSCs are observed, suggesting that the presynaptic release machinery and postsynaptic AMPA/kainate receptors remain intact and functional.
Establishment of aberrant low-threshold synaptic connections
Almost all SG neurones are intrinsic inhibitory and excitatory interneurones, which integrate, modulate and filter primary afferent information before its transmission to the brain via projection neurones in lamina I, IV and V (Willis & Coggeshall, 1991). In naive animals there is a distinct laminar termination of primary afferent inputs, with C fibres terminating in lamina II, Aδ fibres terminating in laminae I, II and V, and Aβ fibres terminating in laminae III, IV and V. Given the limited dendritic fields of the small SG interneurones this means that most are normally activated only by high-threshold Aδ and C fibre inputs (Willis & Coggeshall, 1991).
Following SNT and CCI, the percentage of SG neurones with Aβ fibre-evoked EPSCs increased substantially from 24 to ≥ 65 %. No change in dorsal root threshold or conduction velocity of Aβ, Aδ and C fibres followed SNT or CCI. Therefore, it is unlikely that the recruitment of low-threshold EPSCs reflects changes in primary afferent fibre excitability. Surprisingly, a facilitation of Aβ fibre-mediated excitatory synaptic input was not detected in SNI rats, instead the mean response threshold actually increased.
A loss of monosynaptic Aδ fibre EPSCs was observed in all three nerve injury models. A similar effect was reported in one previous study (Okamoto et al. 2001) that examined the effects of SNT on excitatory transmission in the superficial dorsal horn, but not in another (Kohama et al. 2000). The decrease in monosynaptic Aδ fibre input correlates closely with the gain of Aβ fibre EPSCs in both the SNT and CCI models. Although a small decrease in afferent threshold following nerve injury could conceivably contribute to this shift in EPSC distribution, no such reduction follows SNT (Okamoto et al. 2001) or, as shown here, CCI and SNI. In addition to an alteration in threshold, there is also a marked shift from a mono- to a polysynaptic pattern of SG neurone activation after nerve injury. Such a change may reflect the recruitment of inputs via intervening synapses or a change in the frequency-following capacity of injured afferents (see below). The most parsimonious explanation for the increased incidence of Aβ fibre EPSCs after CCI and SNT is a functional reorganization of excitatory inputs, not a change in peripheral activation. Following SNI, apart from the lack of recruitment of Aβ inputs, the Aδ input to lamina II shifts from a largely mono- to a polysynaptic mode, suggesting that most monosynaptic inputs to lamina II neurones are lost, or that former monosynaptic Aδ inputs are no longer capable of following high frequencies. It is unlikely that the difference between the SNI model and the CCI and SNT models is due to activation of injured or non-injured afferents or the degree of deafferentation. In this study, all recordings were made from the medial dorsal horn where injured afferents terminate in all three models.
Potential mechanisms of facilitated Aβ fibre input to the SG after peripheral nerve injury
Three possible mechanisms could operate to increase Aβ fibre inputs to SG neurones: recruitment of pre-existing silent synapses, sprouting of Aβ fibres from lamina I or III into lamina II and/or a facilitation of excitatory interneurones.
Silent synapses
Although there is no evidence for Aβ fibre central terminals in lamina II outer, the most dorsal tips of these afferents do terminate in the most ventral portion of lamina II inner (Shortland et al. 1989), and may make ineffective or silent synaptic contacts with ventrally directed dendrites of SG neurones. Silent NMDA synapses have been found in neonatal spinal cord, but are not present in naive adult lamina II neurones, and are found only rarely (4 %) following complete sciatic nerve transection (Baba et al. 2000). Therefore, silent NMDA synapses are unlikely to contribute to increased Aβ input following partial sciatic nerve injury. Whether there are silent AMPA/kainate synapses in lamina II neurones that can be recruited by insertion of AMPA receptors into the synaptic cleft is not known.
Sprouting of A fibres
A structural reorganization of low-threshold myelinated afferent terminals could also produce the altered synaptic connectivity that follows SNT and CCI. After peripheral nerve injury, Aβ fibres with the morphological appearance of hair follicle afferents sprout from the deep dorsal horn into the SG (Woolf et al. 1992; Koerber et al. 1994; Nakamura & Myers, 1999). In the SNI model, a similar change should occur for Aβ fibres in the injured common peroneal nerve, but the numbers of these relative to the other injury models will be less. The extent of sprouting Aβ fibres following nerve injury is controversial (Ma & Tian, 2001; Bao et al. 2002). Sprouting of Aδ fibres from lamina I into the SG can also not be excluded (Ma & Tian, 2001).
After SNT, sprouted Aβ fibre terminals that make synaptic contact with lamina II neurones have been found (Koerber et al. 1994, 1999). In one electrophysiological study, novel monosynaptic Aβ fibre-evoked responses were reported (Kohama et al. 2000), but in another, only polysynaptic Aβ inputs were found (Okamoto et al. 2001). We too only find a polysynaptic-like Aβ fibre activation of SG neurones after both SNT and CCI, as well as an increase in polysynaptic-like Aδ fibre-evoked EPSCs after SNI. There are several potential explanations that may account for the increase in polysynaptic-like responses. First, Aβ fibre sprouting may be minimal and all input to SG neurones is via excitatory interneurones. Second, Aβ fibres may sprout and make new synaptic connections with SG neurones, but these connections may be nonfunctional. Finally, sprouted Aβ terminals may be functional, but may not follow strict monosynaptic criteria (no latency jitter and faithful following at high frequencies), due to branch point blockade resulting from atrophic changes in intraspinal terminals (Kapadia & LaMotte, 1987) and/or failure of synaptic release mechanisms during high-frequency stimulation. This is the explanation we favour.
Enhanced excitability
The increase in polysynaptic A fibre input to lamina II following partial or complete sciatic nerve injury might also reflect enhanced excitability of excitatory interneurones. A reduction in inhibition could produce such an increase in excitability following SNI or CCI where we have previously observed decreased inhibition (Moore et al. 2002). However, no loss of GABA-mediated IPSCs was observed after SNT (Moore et al. 2002), a model where there was a substantial increase in Aβ fibre input, suggesting disinhibition does not account for the recruitment of Aβ fibre inputs following injury. Alternatively, nerve injury might reduce action potential threshold or cause a direct increase in transmitter release from excitatory interneurones, thereby facilitating polysynaptic transmission. No change in mEPSC frequency was observed in any of the peripheral nerve injury models, arguing against such changes in interneurone excitability.
In conclusion, the present study demonstrates a recruitment of Aβ excitatory input to the superficial dorsal horn in the SNT and CCI, but not the SNI, models. These findings together with the previously demonstrated reduction in GABAergic inhibition following SNI and CCI, but not SNT (Moore et al. 2002), suggest that nerve injury models are not all equivalent in terms of the consequences on synaptic processing in the dorsal horn. The mechanisms underlying these differences and their contributions to changes in sensation now need to be established.
Acknowledgments
The authors thank Dr Takae Ibuki and Kenji Miki for technical advice regarding the chronic constriction injury model. The present study was supported by NIH NS 38253 (C.J.W.) and NRSA NS 11076 (K.A.M.).
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