Evidence map›Paper›PMID 34686897›Full record

ArticleAnalytical and bioanalytical chemistry2021

Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression.

Cameron S Movassaghi, Katie A Perrotta, Hongyan Yang, Rahul Iyer, Xinyi Cheng, Merel Dagher, Miguel Alcañiz Fillol, Anne M Andrews

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Serotonin as a biomarker of toxin-induced Parkinsonism.Molecular medicine (Cambridge, Mass.) · 2024
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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

8 authors.

Cameron S MovassaghiDepartment of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0001-9345-0091
Katie A PerrottaDepartment of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0001-6206-8287
Hongyan YangDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0001-7817-1473
Rahul IyerDepartment of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0001-8139-5304
Xinyi ChengDepartment of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0003-1654-4363
Merel DagherMolecular Toxicology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0003-0325-4543
Miguel Alcañiz FillolInteruniversity Research Institute for Molecular Recognition and Technological Development, Universitat Politècnica de València - Universitat de València, Camino de Vera s/n, 46022, Valencia, Spain. mialcan@upvnet.upv.es.ORCID https://orcid.org/0000-0002-4579-9210
Anne M AndrewsDepartment of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA. aandrews@mednet.ucla.edu.ORCID http://orcid.org/0000-0002-1961-4833

Funding

Micro- to Nanoscale Neurochemical SensorsR01DA045550 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANDREWS, ANNE MILASINCIC · 2017 to 2021
$5.8M
Prenatal stress and antidepressants effects on offspring brain developmentR01MH106806 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BONNIN, ALEXANDRE · 2016 to 2020
$2.1M
NIDA NIH HHS R01 DA045550NIMH NIH HHS R01 MH106806
6 · The paper itself

Abstract

Many voltammetry methods have been developed to monitor brain extracellular dopamine levels. Fewer approaches have been successful in detecting serotonin in vivo. No voltammetric techniques are currently available to monitor both neurotransmitters simultaneously across timescales, even though they play integrated roles in modulating behavior. We provide proof-of-concept for rapid pulse voltammetry coupled with partial least squares regression (RPV-PLSR), an approach adapted from multi-electrode systems (i.e., electronic tongues) used to identify multiple components in complex environments. We exploited small differences in analyte redox profiles to select pulse steps for RPV waveforms. Using an intentionally designed pulse strategy combined with custom instrumentation and analysis software, we monitored basal and stimulated levels of dopamine and serotonin. In addition to faradaic currents, capacitive currents were important factors in analyte identification arguing against background subtraction. Compared to fast-scan cyclic voltammetry-principal components regression (FSCV-PCR), RPV-PLSR better differentiated and quantified basal and stimulated dopamine and serotonin associated with striatal recording electrode position, optical stimulation frequency, and serotonin reuptake inhibition. The RPV-PLSR approach can be generalized to other electrochemically active neurotransmitters and provides a feedback pipeline for future optimization of multi-analyte, fit-for-purpose waveforms and machine learning approaches to data analysis.

Indexed as

AnimalsBrainCalibrationCarbon FiberDopamineElectrochemical TechniquesEscitalopramFemaleLeast-Squares AnalysisMachine LearningMiceMice, Inbred C57BLMicroelectrodesNeurotransmitter AgentsSelective Serotonin Reuptake InhibitorsSerotoninCarbon FiberDopamineEscitalopramNeurotransmitter AgentsSelective Serotonin Reuptake InhibitorsSerotoninBrainElectrochemistryIn vivoMachine learningNeurotransmitters

Identifiers

PMID34686897
PMCPMC8551120

What OpenQuestion holds

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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.