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      Serotonin synthesis, release and reuptake in terminals: a mathematical model

      research-article
      1 , , 2 , 3
      Theoretical Biology & Medical Modelling
      BioMed Central

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          Abstract

          Background

          Serotonin is a neurotransmitter that has been linked to a wide variety of behaviors including feeding and body-weight regulation, social hierarchies, aggression and suicidality, obsessive compulsive disorder, alcoholism, anxiety, and affective disorders. Full understanding of serotonergic systems in the central nervous system involves genomics, neurochemistry, electrophysiology, and behavior. Though associations have been found between functions at these different levels, in most cases the causal mechanisms are unknown. The scientific issues are daunting but important for human health because of the use of selective serotonin reuptake inhibitors and other pharmacological agents to treat disorders in the serotonergic signaling system.

          Methods

          We construct a mathematical model of serotonin synthesis, release, and reuptake in a single serotonergic neuron terminal. The model includes the effects of autoreceptors, the transport of tryptophan into the terminal, and the metabolism of serotonin, as well as the dependence of release on the firing rate. The model is based on real physiology determined experimentally and is compared to experimental data.

          Results

          We compare the variations in serotonin and dopamine synthesis due to meals and find that dopamine synthesis is insensitive to the availability of tyrosine but serotonin synthesis is sensitive to the availability of tryptophan. We conduct in silico experiments on the clearance of extracellular serotonin, normally and in the presence of fluoxetine, and compare to experimental data. We study the effects of various polymorphisms in the genes for the serotonin transporter and for tryptophan hydroxylase on synthesis, release, and reuptake. We find that, because of the homeostatic feedback mechanisms of the autoreceptors, the polymorphisms have smaller effects than one expects. We compute the expected steady concentrations of serotonin transporter knockout mice and compare to experimental data. Finally, we study how the properties of the the serotonin transporter and the autoreceptors give rise to the time courses of extracellular serotonin in various projection regions after a dose of fluoxetine.

          Conclusions

          Serotonergic systems must respond robustly to important biological signals, while at the same time maintaining homeostasis in the face of normal biological fluctuations in inputs, expression levels, and firing rates. This is accomplished through the cooperative effect of many different homeostatic mechanisms including special properties of the serotonin transporters and the serotonin autoreceptors. Many difficult questions remain in order to fully understand how serotonin biochemistry affects serotonin electrophysiology and vice versa, and how both are changed in the presence of selective serotonin reuptake inhibitors. Mathematical models are useful tools for investigating some of these questions.

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          Most cited references97

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          Association of anxiety-related traits with a polymorphism in the serotonin transporter gene regulatory region.

          Transporter-facilitated uptake of serotonin (5-hydroxytryptamine or 5-HT) has been implicated in anxiety in humans and animal models and is the site of action of widely used uptake-inhibiting antidepressant and antianxiety drugs. Human 5-HT transporter (5-HTT) gene transcription is modulated by a common polymorphism in its upstream regulatory region. The short variant of the polymorphism reduces the transcriptional efficiency of the 5-HTT gene promoter, resulting in decreased 5-HTT expression and 5-HT uptake in lymphoblasts. Association studies in two independent samples totaling 505 individuals revealed that the 5-HTT polymorphism accounts for 3 to 4 percent of total variation and 7 to 9 percent of inherited variance in anxiety-related personality traits in individuals as well as sibships.
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            Monitoring rapid chemical communication in the brain.

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              Targeting the murine serotonin transporter: insights into human neurobiology.

              Mutations resulting in reduced or completely abrogated serotonin-transporter (SERT) function in mice have led to the identification of more than 50 different phenotypic changes, ranging from increased anxiety and stress-related behaviours to gut dysfunction, bone weakness and late-onset obesity with metabolic syndrome. These multiple effects, which can be amplified by gene-environment and gene-gene interactions, are primarily attributable to altered intracellular and extracellular serotonin concentrations during development and adulthood. Much of the human data relating to altered expression of the gene that encodes SERT are based on genetic-association findings or correlations and are therefore not as robust as the experimental mouse results. Nevertheless, SERT-function-modifying gene variants in humans apparently produce many phenotypes that are similar to those that manifest themselves in mice.
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                Author and article information

                Journal
                Theor Biol Med Model
                Theoretical Biology & Medical Modelling
                BioMed Central
                1742-4682
                2010
                19 August 2010
                : 7
                : 34
                Affiliations
                [1 ]Department of Mathematics, The Ohio State University, Columbus, OH 43210 USA
                [2 ]Department of Biology, Duke University, Durham, NC 27708 USA
                [3 ]Department of Mathematics, Duke University, Durham, NC 27708 USA
                Article
                1742-4682-7-34
                10.1186/1742-4682-7-34
                2942809
                20723248
                ef6258be-2219-4657-bf9f-3897abb67d36
                Copyright ©2010 Best et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 June 2010
                : 19 August 2010
                Categories
                Research

                Quantitative & Systems biology
                Quantitative & Systems biology

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