Evidence map›Paper›PMID 26900429›Full record

ReviewComputational and structural biotechnology journal2015

Fast-scan Cyclic Voltammetry for the Characterization of Rapid Adenosine Release.

Michael D Nguyen, B Jill Venton

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

54 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
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  10. Caged ZnACS chemical neuroscience · 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

2 authors at 1 institution in 1 country.

Michael D NguyenDepartment of Chemistry, University of Virginia, McCormick Road, PO BOX 400319, Charlottesville, VA 22904, United States.
B Jill VentonDepartment of Chemistry, University of Virginia, McCormick Road, PO BOX 400319, Charlottesville, VA 22904, United States.
McCormick (United States) · US

Funding

Mechanism and function of transient adenosine signaling in the brainR01NS076875 · NINDS · UNIVERSITY OF VIRGINIA · PI VENTON, B. JILL · 2012 to 2016
$1.6M
NINDS NIH HHS R01 NS076875
6 · The paper itself

Abstract

Adenosine is a signaling molecule and downstream product of ATP that acts as a neuromodulator. Adenosine regulates physiological processes, such as neurotransmission and blood flow, on a time scale of minutes to hours. Recent developments in electrochemical techniques, including fast-scan cyclic voltammetry (FSCV), have allowed direct detection of adenosine with sub-second temporal resolution. FSCV studies have revealed a novel mode of rapid signaling that lasts only a few seconds. This rapid release of adenosine can be evoked by electrical or mechanical stimulations or it can be observed spontaneously without stimulation. Adenosine signaling on this time scale is activity dependent; however, the mode of release is not fully understood. Rapid adenosine release modulates oxygen levels and evoked dopamine release, indicating that adenosine may have a rapid modulatory role. In this review, we outline how FSCV can be used to detect adenosine release, compare FSCV with other techniques used to measure adenosine, and present an overview of adenosine signaling that has been characterized using FSCV. These studies point to a rapid mode of adenosine modulation, whose mechanism and function will continue to be characterized in the future.

Indexed as

AdenosineBiosensorsElectrochemistryMicroelectrodesPurine signaling

Identifiers

PMID26900429
PMCPMC4720017
OpenAlexW2116530998

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.