In vivo characterization of colorectal and cutaneous inputs to lumbosacral dorsal horn neurons in the mouse spinal cord
Introduction
Persistent abdominal pain and visceral hypersensitivity are debilitating symptoms of inflammatory bowel disease (IBD), a group of chronic inflammatory conditions of the gastrointestinal tract (Wagtmans et al., 1998, Schirbel, 2010). While pain most commonly occurs during disease flare-ups, upto 30–50% of IBD patients report ongoing pain in the absence of active inflammation (Minderhoud et al., 2004, Farrokhyar et al., 2006, Siegel and MacDermott, 2009). Due to a limited number of effective pain therapies, long-term use of narcotics is prevalent, despite a variety of negative side effects (Edwards et al., 2001, Cross et al., 2005, Makharia, 2011, Farrell et al., 2014a). This lack of adequate pain management results in significantly decreased health-related quality of life scores, and increased anxiety and depression in IBD patients (Farrokhyar et al., 2006, Schirbel, 2010). Therefore, to improve patient outcomes, a greater understanding of pain signaling in IBD is required.
Clinically, there is evidence that neuronal remodeling or plasticity within the central nervous system (CNS) plays a significant role in the development of abnormal pain processing in IBD. For example, in addition to chronic pain, patients with IBD experience “referred” pain, where pain from the gut is felt in cutaneous or other visceral sites (Bernstein et al., 1996, Minderhoud et al., 2004). These common IBD symptoms are thought to be the result of neuronal plasticity in the CNS, particularly where somatic and visceral pathways overlap. Moreover, animal models of visceral hypersensitivity have demonstrated behavioral, anatomical, molecular and physiological evidence that gastrointestinal inflammation can cause CNS plasticity (Farrell et al., 2014b). Importantly, most of these changes have been shown to occur in the spinal cord dorsal horn (Harrington et al., 2012, Farrell et al., 2014b).
Both painful and non-painful sensations from the distal colon are transmitted to the spinal cord via primary afferents in the splanchnic and pelvic nerves. These afferents synapse within the dorsal horn in the thoracolumbar (T10–L1) and lumbosacral (L6–S1) spinal cord, respectively (Cervero, 1994). Incoming sensory information is then processed by dorsal horn interneurons before ascending to various brain structures (Todd, 2010). The role of the dorsal horn in sensory processing is complex, as local-circuit excitatory and inhibitory interneurons receive and integrate inputs from peripheral structures like viscera and skin, higher brain centers, and local interneurons (Graham et al., 2007). Therefore, interneurons are crucial for determining the overall excitability within the dorsal horn and hence its output. Despite this, we know little about the intricacies of sensory processing in these interneuron networks under both normal and pathological conditions like inflammation (Todd, 2010). This is especially so for dorsal horn neurons which receive input from the gut.
In an attempt to understand the function of dorsal horn neurons that receive inputs from the colon, their physiology has been studied using in vivo recording techniques. Dorsal horn neurons have been classified based on their responses to colorectal distension (CRD), convergence with somatic regions or other viscera, and chemical sensitivity (Ness and Gebhart, 1987a, Katter et al., 1996, Andrew and Blackshaw, 2001). Collectively these studies have shown dorsal horn neurons typically respond to CRD with excitation, although inhibition of spontaneous activity has been reported. The thresholds for excitation/inhibition appear to be varied, with many neurons responding to CRD across a wide range of pressures (i.e. a wide dynamic range) or exclusively to innocuous or noxious stimulation (Ness and Gebhart, 1987a, Katter et al., 1996, Andrew and Blackshaw, 2001). Dorsal horn neurons also show a high degree of convergence with somatic regions, such as skin (Honda, 1985, Ness and Gebhart, 1987a, Katter et al., 1996), as well as other viscera (Honda, 1985, Andrew and Blackshaw, 2001).
Notwithstanding the valuable insights these studies provide on how dorsal horn neurons respond to visceral and cutaneous simulation, these experiments were only able to monitor suprathreshold (action potential (AP) discharge responses) because of the recording techniques employed. Furthermore, these approaches do not permit assessment of subthreshold membrane potential fluctuations, and/or responses that reflect a neuron’s intrinsic or synaptic properties and ultimately mediate neuronal function. This is important, as the intrinsic and synaptic properties of neurons are critical determinants of overall excitability in both normal and inflammed conditions. Therefore, the aim of this study was to develop a mouse in vivo preparation that permits whole-cell electrophysiological recordings from superficial dorsal horn (SDH) neurons that receive inputs from the colon. We used naïve mice, as the intrinsic and synaptic properties of SDH neurons that receive inputs from the colon have not been characterized under normal or inflammed conditions. Our data demonstrate that SDH neurons with colonic inputs show predominately subthreshold responses to colon distension and have a high degree of viscerosomatic convergence. We also show these neurons are less excitable than neurons without colonic inputs due to several differences in their membrane properties and excitatory synaptic inputs. These data highlight that in naïve mice, lumbosacral SDH neurons that receive colonic inputs are distinguishable from those that do not. This is likely a reflection on the differential central processing of visceral versus cutaneous afferent signaling.
Section snippets
Surgery
The University of Newcastle Animal Care and Ethics Committee approved all procedures used in this study (protocol # A-2012-223). Experiments used male mice (C57BL/6, aged 6–8 weeks, body weight 16.9–23.6 g). Preparation of the adult mouse for in vivo patch-clamp recording from spinal neurons was adapted from work previously described by our group (Graham et al., 2004a, Graham et al., 2004b, Jobling et al., 2010).
Animals were anesthetized with isoflurane (2–3%, 2 L/min O2 induction; 1–2%
Results
Stable whole-cell patch-clamp recordings were obtained from 88 neurons in 45 animals. Input resistance ranged from 96 to 411 M Ω (204 ± 7.7 M Ω, n = 68), and resting membrane potentials were between −37 and −73 mV (−56 ± 0.8 mV, n = 88). These values align with those reported for mouse SDH neurons in the lumbar enlargement using similar in vivo recording methods (Graham et al., 2004b). The depth of recorded neurons measured from the border of the SDH and overlying white matter, ranged from 1 to 147 μm (48 ± 3.8
Discussion
In this study we developed and utilized an in vivo preparation of the adult mouse to examine the intrinsic and synaptic properties of lumbosacral SDH neurons that receive visceral and cutaneous inputs. Our study had three major findings. First, CRD-R neurons showed predominantly subthreshold responses to both CRD and cutaneous stimulation, suggesting they are not likely to generate APs. Second, most (80%) CRD-R neurons had a cutaneous receptive field whereas less than half the CRD-NR neurons
Conclusions
Our study provides the first in vivo characterization of the intrinsic and synaptic properties of mouse lumbosacral SDH neurons receiving inputs from both the colon and cutaneous regions. We have shown that lumbosacral SDH neurons respond to CRD with predominately subthreshold activity, and that there is a high degree of convergent cutaneous input onto CRD-R neurons. Moreover, there are several key differences in the intrinsic and synaptic properties of CRD-R neurons that together make them
Disclosures
The authors report no conflict of interest
Acknowledgments
This work was supported by grants from the National Health and Medical Research Council of Australia (APP1067146 to R.J.C.), the Hunter Medical Research Institute and the University of Newcastle Priority Research Centre for Translational Neuroscience.
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