Paradoxical Actions of the Serotonin Precursor 5-hydroxytryptophan on the Activity of Identified Serotonergic Neurons in a Simple Motor Circuit

Autor: Fickbohm, David J.; Katz, Paul S.
Sprache: Englisch
Veröffentlicht: 2000
Quelle: PubMed Central (PMC)
Online Zugang: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772379/
http://www.ncbi.nlm.nih.gov/pubmed/10662852
http://dx.doi.org/10.1523/JNEUROSCI.20-04-01622.2000
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772379/
https://doi.org/10.1523/JNEUROSCI.20-04-01622.2000
Erfassungsnummer: ftpubmed:oai:pubmedcentral.nih.gov:6772379

Zusammenfassung

Neurotransmitter synthesis is regulated by a variety of factors, yet the effect of altering transmitter content on the operation of neuronal circuits has been relatively unexplored. We used electrophysiological, electrochemical, and immunohistochemical techniques to investigate the effects of augmenting the serotonin (5-HT) content of identified serotonergic neurons embedded in a simple motor circuit. The dorsal swim interneurons (DSIs) are serotonergic neurons intrinsic to the central pattern generator (CPG) for swimming in the mollusc Tritonia diomedea. As expected, treatment with the serotonin precursor 5-hydroxytryptophan (5-HTP) increased the intensity of serotonin immunolabeling and enhanced the potency of synaptic and modulatory actions elicited by the DSIs. It also greatly enhanced the ability of the DSIs to evoke rhythmic CPG activity. After 5-HTP treatment, microvoltammetric measurements indicated an increase in a putative 5-HT electrochemical signal during swim CPG activation. Paradoxically, the spiking activity of the serotonergic neurons decreased to a single burst at the onset of the rhythmic motor program, whereas the overall duration of the episode remained about the same. 5-HTP treatment gradually reduced the rhythmicity of the CPG output. Thus, more serotonin did not result in a more robust swim motor program, suggesting that serotonin synthesis must be kept within certain limits for the circuit to function correctly and indicating that altering neurotransmitter synthesis can have serious consequences for the output of neural networks.