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Updated: Jun 21, 2026

Location, Dissection, and Analysis of the Murine Stellate Ganglion
Published on: December 22, 2020
The mammalian sympathetic prevertebral ganglia: models for the study of neuronal networks and basic neuronal
Caroline Fasano1, Jean-Pierre Niel
1Département de Pharmacologie, Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada.
Abstract:
The mammalian sympathetic prevertebral ganglia regulate various visceral functions and in particular the digestive tract motility. Several integrative properties of these ganglia have been described: convergence of central inputs, projection of visceral inputs at the pre- and post synaptic level and pacemaker activity of the neurones. This review presents the results obtained on another integrative property which has been widely studied over the last 10 years: the modulation of the fast central inputs by neuromodulators such as nitric oxide, ceramide and GABA. These substances facilitate or inhibit the fast central inputs through complex interrelated actions. We also present striking results recently obtained during the study of a regulatory reflex of the digestive tract motility organized by the prevertebral ganglia: the gastro-duodenal inhibitory reflex. During this reflex, the neurotransmitter released by the visceral afferent fibres to activate the ganglionic neurones is gaseous: nitric oxide. Moreover, the mechanism conducting the excitation along the afferent and efferent fibres is independent of action potentials. This mechanism requires the integrity of the membrane lipid rafts and the activation in cascade of the following second messenger sequence: ceramide, calcium, nitric oxide and guanosine 3', 5'-cyclic monophosphate. The existence of this mechanism gives grounds for rethinking one of the central dogmas in neuroscience according to which excitation is only conducted along nerves by an electrical phenomenon, the action potential. All these results strengthen the role of the prevertebral ganglia as a model for the study of neuronal networks and basic neuronal properties.
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