Cargando…

Autoreceptor control of serotonin dynamics

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 involves genom...

Descripción completa

Detalles Bibliográficos
Autores principales: Best, Janet, Duncan, William, Sadre-Marandi, Farrah, Hashemi, Parastoo, Nijhout, H. Frederik, Reed, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509944/
https://www.ncbi.nlm.nih.gov/pubmed/32967609
http://dx.doi.org/10.1186/s12868-020-00587-z
_version_ 1783585692504293376
author Best, Janet
Duncan, William
Sadre-Marandi, Farrah
Hashemi, Parastoo
Nijhout, H. Frederik
Reed, Michael
author_facet Best, Janet
Duncan, William
Sadre-Marandi, Farrah
Hashemi, Parastoo
Nijhout, H. Frederik
Reed, Michael
author_sort Best, Janet
collection PubMed
description 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 involves genomics, neurochemistry, electrophysiology, and behavior. 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. This paper presents a new deterministic model of serotonin metabolism and a new systems population model that takes into account the large variation in enzyme and transporter expression levels, tryptophan input, and autoreceptor function. RESULTS: We discuss the steady state of the model and the steady state distribution of extracellular serotonin under different hypotheses on the autoreceptors and we show the effect of tryptophan input on the steady state and the effect of meals. We use the deterministic model to interpret experimental data on the responses in the hippocampus of male and female mice, and to illustrate the short-time dynamics of the autoreceptors. We show there are likely two reuptake mechanisms for serotonin and that the autoreceptors have long-lasting influence and compare our results to measurements of serotonin dynamics in the substantia nigra pars reticulata. We also show how histamine affects serotonin dynamics. We examine experimental data that show very variable response curves in populations of mice and ask how much variation in parameters in the model is necessary to produce the observed variation in the data. Finally, we show how the systems population model can potentially be used to investigate specific biological and clinical questions. CONCLUSIONS: We have shown that our new models can be used to investigate the effects of tryptophan input and meals and the behavior of experimental response curves in different brain nuclei. The systems population model incorporates individual variation and can be used to investigate clinical questions and the variation in drug efficacy. The codes for both the deterministic model and the systems population model are available from the authors and can be used by other researchers to investigate the serotonergic system.
format Online
Article
Text
id pubmed-7509944
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-75099442020-09-24 Autoreceptor control of serotonin dynamics Best, Janet Duncan, William Sadre-Marandi, Farrah Hashemi, Parastoo Nijhout, H. Frederik Reed, Michael BMC Neurosci Research Article 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 involves genomics, neurochemistry, electrophysiology, and behavior. 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. This paper presents a new deterministic model of serotonin metabolism and a new systems population model that takes into account the large variation in enzyme and transporter expression levels, tryptophan input, and autoreceptor function. RESULTS: We discuss the steady state of the model and the steady state distribution of extracellular serotonin under different hypotheses on the autoreceptors and we show the effect of tryptophan input on the steady state and the effect of meals. We use the deterministic model to interpret experimental data on the responses in the hippocampus of male and female mice, and to illustrate the short-time dynamics of the autoreceptors. We show there are likely two reuptake mechanisms for serotonin and that the autoreceptors have long-lasting influence and compare our results to measurements of serotonin dynamics in the substantia nigra pars reticulata. We also show how histamine affects serotonin dynamics. We examine experimental data that show very variable response curves in populations of mice and ask how much variation in parameters in the model is necessary to produce the observed variation in the data. Finally, we show how the systems population model can potentially be used to investigate specific biological and clinical questions. CONCLUSIONS: We have shown that our new models can be used to investigate the effects of tryptophan input and meals and the behavior of experimental response curves in different brain nuclei. The systems population model incorporates individual variation and can be used to investigate clinical questions and the variation in drug efficacy. The codes for both the deterministic model and the systems population model are available from the authors and can be used by other researchers to investigate the serotonergic system. BioMed Central 2020-09-23 /pmc/articles/PMC7509944/ /pubmed/32967609 http://dx.doi.org/10.1186/s12868-020-00587-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Best, Janet
Duncan, William
Sadre-Marandi, Farrah
Hashemi, Parastoo
Nijhout, H. Frederik
Reed, Michael
Autoreceptor control of serotonin dynamics
title Autoreceptor control of serotonin dynamics
title_full Autoreceptor control of serotonin dynamics
title_fullStr Autoreceptor control of serotonin dynamics
title_full_unstemmed Autoreceptor control of serotonin dynamics
title_short Autoreceptor control of serotonin dynamics
title_sort autoreceptor control of serotonin dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509944/
https://www.ncbi.nlm.nih.gov/pubmed/32967609
http://dx.doi.org/10.1186/s12868-020-00587-z
work_keys_str_mv AT bestjanet autoreceptorcontrolofserotonindynamics
AT duncanwilliam autoreceptorcontrolofserotonindynamics
AT sadremarandifarrah autoreceptorcontrolofserotonindynamics
AT hashemiparastoo autoreceptorcontrolofserotonindynamics
AT nijhouthfrederik autoreceptorcontrolofserotonindynamics
AT reedmichael autoreceptorcontrolofserotonindynamics