Evidence map›Paper›PMID 24702305›Full record

ArticleJournal of neurochemistry2014

Voltammetric and mathematical evidence for dual transport mediation of serotonin clearance in vivo.

Kevin M Wood, Anisa Zeqja, H Frederik Nijhout, Michael C Reed, Janet Best, Parastoo Hashemi

Open access · greenAbstract read
In one paragraph

Article in Journal of neurochemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

33 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Serotonin as a biomarker of toxin-induced Parkinsonism.Molecular medicine (Cambridge, Mass.) · 2024
    Article
  7. Microdosing ketamine inbioRxiv : the preprint server for biology · 2023
    Article
  8. Article
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  15. Article
  16. Inflammation-Induced Histamine Impairs the Capacity of Escitalopram to Increase Hippocampal Extracellular Serotonin.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  17. DecipheringFrontiers in cellular neuroscience · 2021
    Article
  18. Experimental Methods for Investigating Uptake 2 Processes In Vivo.Handbook of experimental pharmacology · 2021
    Review
  19. Article
  20. 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 1 country.

Kevin M WoodDepartment of Chemistry, Wayne State University, Detroit, Michigan, USA.
Anisa Zeqja
H Frederik Nijhout
Michael C Reed
Janet Best
Parastoo Hashemi
Wayne State University · USDuke University · USThe Ohio State University · US

Funding

Methods for Pathway Modeling with Application to FolateR01ES019876 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2010 to 2014
$2.9M
NIEHS NIH HHS R01 ES019876
6 · The paper itself

Abstract

The neurotransmitter serotonin underlies many of the brain's functions. Understanding serotonin neurochemistry is important for improving treatments for neuropsychiatric disorders such as depression. Antidepressants commonly target serotonin clearance via serotonin transporters and have variable clinical effects. Adjunctive therapies, targeting other systems including serotonin autoreceptors, also vary clinically and carry adverse consequences. Fast scan cyclic voltammetry is particularly well suited for studying antidepressant effects on serotonin clearance and autoreceptors by providing real-time chemical information on serotonin kinetics in vivo. However, the complex nature of in vivo serotonin responses makes it difficult to interpret experimental data with established kinetic models. Here, we electrically stimulated the mouse medial forebrain bundle to provoke and detect terminal serotonin in the substantia nigra reticulata. In response to medial forebrain bundle stimulation we found three dynamically distinct serotonin signals. To interpret these signals we developed a computational model that supports two independent serotonin reuptake mechanisms (high affinity, low efficiency reuptake mechanism, and low affinity, high efficiency reuptake system) and bolsters an important inhibitory role for the serotonin autoreceptors. Our data and analysis, afforded by the powerful combination of voltammetric and theoretical methods, gives new understanding of the chemical heterogeneity of serotonin dynamics in the brain. This diverse serotonergic matrix likely contributes to clinical variability of antidepressants.

Indexed as

AlgorithmsAnimalsBiological Transport, ActiveData Interpretation, StatisticalElectric StimulationElectrochemistryKineticsMaleMedial Forebrain BundleMethiothepinMiceMice, Inbred C57BLMicroelectrodesModels, StatisticalReceptors, SerotoninSerotoninMethiothepinReceptors, SerotoninSerotoninSerotonin AntagonistsSerotonin Plasma Membrane Transport Proteins5-HTcomputational neurosciencemethiothepinMichaelis-MentenSERTtransport

Identifiers

PMID24702305
PMCPMC4107184
OpenAlexW2158463369

What OpenQuestion holds

Textmetadata
LicenceTDM
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.