Evidence map›Paper›PMID 32967609›Full record

ArticleBMC neuroscience2020

Autoreceptor control of serotonin dynamics.

Janet Best, William Duncan, Farrah Sadre-Marandi, Parastoo Hashemi, H Frederik Nijhout, Michael Reed

Open access · goldAbstract read
In one paragraph

Article in BMC neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Janet BestDepartment of Mathematics, The Ohio State University, 231 W 18th Ave., Columbus, OH, 43210, USA.
William DuncanDepartment of Mathematics, Duke University, Durham, NC, 27708, USA.
Farrah Sadre-MarandiqPharmetra, LLC, Denver, CO, 80203, USA.
Parastoo HashemiDepartment of Bioengineering, Imperial College, London, SW7 2AZ, UK.
H Frederik NijhoutDepartment of Biology, Duke University, Durham, NC, 27708, USA.
Michael ReedDepartment of Mathematics, Duke University, Durham, NC, 27708, USA. reed@math.duke.edu.ORCID 0000-0002-1051-1811
Duke University · USImperial College London · GBThe Ohio State University · US

Funding

Voltammetric determination of neuronal serotonin and histamine co-regulationR21MH109959 · NIMH · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HASHEMI, PARASTOO · 2016 to 2017
$424k
National Science Foundation DMS-0931642NIH HHS 1R01MH106563-01A1NIH HHS 1R21MH109959-01A1NIMH NIH HHS R21 MH109959
6 · The paper itself

Abstract

backgroundSerotonin 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.

resultsWe 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.

conclusionsWe 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.

Indexed as

AlgorithmsAnimalsAutoreceptorsFemaleHistamineMaleMealsMiceModels, NeurologicalModels, TheoreticalReceptors, SerotoninSelective Serotonin Reuptake InhibitorsSerotoninSex CharacteristicsSubstantia NigraTryptophanAutoreceptorsHistamineReceptors, SerotoninSelective Serotonin Reuptake InhibitorsSerotoninTryptophanTryptophan HydroxylaseAutoreceptorMathematical modelSerotonin

Identifiers

PMID32967609
PMCPMC7509944
OpenAlexW3089093496

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.