Altered function of Na+ channels is responsible for increased hyperexcitability of primary afferent neurons that may underlie pathological pain states. Recent evidence suggests that the Nav1.9 subunit is implicated in inflammatory but not acute pain. However, the contribution of Nav1.9 channels to the cellular events underlying nociceptor hyperexcitability is still unknown, and there remains much uncertainty as to the biophysical properties of Nav1.9 current and its modulation by inflammatory mediators. Here, we use gene targeting strategy and computer modeling to identify Nav1.9 channel current signature and its impact on nociceptors' firing patterns. Recordings using internal fluoride in small DRG neurons from wild-type and Nav1.9-null mutant mice demonstrated that Nav1.9 subunits carry the TTX-resistant “persistent” Na+ current called NaN. Nav1.9−/− nociceptors showed no significant change in the properties of the slowly inactivating TTX-resistant SNS/Nav1.8 current. The loss in Nav1.9-mediated Na+ currents was associated with the inability of small DRG neurons to generate a large variety of electrophysiological behaviors, including subthreshold regenerative depolarizations, plateau potentials, active hyperpolarizing responses, oscillatory bursting discharges, and bistable membrane behaviors. We further investigated, using CsCl- and KCl-based pipette solutions, whether G-protein signaling pathways and inflammatory mediators upregulate the NaN/Nav1.9 current. Bradykinin, ATP, histamine, prostaglandin-E2, and norepinephrine, applied separately at maximal concentrations, all failed to modulate the Nav1.9 current. However, when applied conjointly as a soup of inflammatory mediators they rapidly potentiated Nav1.9 channel activity, generating subthreshold amplification and increased excitability. We conclude that Nav1.9 channel, the molecular correlate of the NaN current, is potentiated by the concerted action of inflammatory mediators that may contribute to nociceptors' hyperexcitability during peripheral inflammation.
Voltage-gated sodium (Nav) channels play a central role in gastrointestinal physiology because they transmit depolarizing impulses in enteric neurons, thereby enabling the coordination of intestinal motility. However, little is known about the ion channel machinery that specifies firing pattern of enteric neurons. Here, we used in situ patch-clamp recording of myenteric neurons from mice to define functionally the Nav channel subtypes responsible for the electrical signature of myenteric neurons. We found that mouse myenteric neurons exhibit two types of tetrodotoxin-resistant Na ϩ currents: an early inactivating Na ϩ current (I NaT ) and a persistent Na ϩ current (I NaP ). I NaT was encountered in all myenteric neurons, whereas I NaP was preferentially found in Dogiel type II sensory neurons. Knock-out mouse studies, in combination with pharmacological assays, indicate that I NaT is carried by the Scn5a-encoded "cardiac" Nav1.5, whereas I NaP is attributed to the Scn11a-encoded Nav1.9. Current-clamp experiments show that Nav1.9 flows at subthreshold voltages, generating tonic firing. In addition, action potential (AP) clamp reveals that Nav1.5 contributes to the upstroke velocity of APs, whereas Nav1.9, which remains active during the falling phase, opposes AP repolarization. We developed a computational model of a Dogiel type II myenteric neuron that successfully reproduces all experimentally observed phenomena and highlights the differential roles of Nav1.5 and Nav1.9 in the control of excitability. Our data illustrate how excitability can be finely tuned to provide specific firing templates by the selective deployment of Nav1.5 and Nav1.9 isoforms. We propose that Nav-dependent ENS disorders of excitability may play important roles in the pathogenesis of digestive diseases.
SUMMARY Spinal motoneurons are endowed with nonlinear spiking behaviors manifested by a spike acceleration whose functional significance remains uncertain. Here, we show in rodent lumbar motoneurons that these nonlinear spiking properties do not rely only on activation of dendritic nifedipine-sensitive L-type Ca2+ channels, as assumed for decades, but also on the slow inactivation of a nifedipine-sensitive K+ current mediated by Kv1.2 channels that are highly expressed in axon initial segments. Specifically, the pharmacological and computational inhibition of Kv1.2 channels occluded the spike acceleration of rhythmically active motoneurons and the correlated slow buildup of rhythmic motor output recorded at the onset of locomotor-like activity. This study demonstrates that slow inactivation of Kv1.2 channels provides a potent gain control mechanism in mammalian spinal motoneurons and has a behavioral role in enhancing locomotor drive during the transition from immobility to steady-state locomotion.
Following reconstruction with high spatial resolution of the 3-D geometry of the dendritic arborizations of two abducens motoneurons, we simulated the distribution of electronic voltage over the whole dendritic tree. Here, we demonstrate that the complex stochastic electronic structure of both motoneurons can be reduced to a statistically significant small set of well discriminated clusters. These clusters are formed by dendritic branches belonging to different dendrites of the neuron but with similar electronic properties. A cluster analysis was performed to estimate quantitatively the partition of the branches between the dendritic clusters. The contents of the clusters were analysed in relation to their stability under different values of specific membrane resistivity (Rm), to their remoteness from the soma and their location in 3-D space. The cluster analysis was executed in a 2-D parameter space in which each dendritic branch was described by the mean electrotonic voltage and gradient. The number of clusters was found to be four for each motoneuron when computations were made with Rm = 3 k omega.cm2. An analysis of the cluster composition under different Rm revealed that each cluster contained invariant and variant branches. Mapping the clusters upon the dendritic geometry of the arborizations allowed us to describe the cluster distribution in terms of the 3-D space domain, the 2-D path distance domain and the total surface area of the tree. As the cluster behaviour reflects both the geometry and the changes in the neuronal electrotonic structure, we conclude that cluster analysis provides a tool to handle the functional complexity of the arborizations without losing relevant information. In terms of synaptic activities, the stable dendritic branches in each cluster may process the synaptic inputs in a similar manner. The high percentage of stable branches indicates that geometry is a major factor of stability for the electrotonic clusters. Conversely, the variant branches introduce the conditions for mechanisms of functional postsynaptic plasticity.
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