Evidence map›Paper›PMID 29363042›Full record

ReviewMolecular neurobiology2018

Potential Role of Extracellular Vesicles in the Pathophysiology of Drug Addiction.

P S S Rao, Kelly O'Connell, Thomas Kyle Finnerty

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Role of microRNAs in the pathophysiology of addiction.Wiley interdisciplinary reviews. RNA · 2021
    Pooled it
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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

3 authors at 1 institution in 1 country.

P S S RaoDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Findlay, 1000 N. Main Street, Findlay, OH, 45840, USA. rao@findlay.edu.ORCID http://orcid.org/0000-0003-1469-4309
Kelly O'ConnellDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Findlay, 1000 N. Main Street, Findlay, OH, 45840, USA.
Thomas Kyle FinnertyDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Findlay, 1000 N. Main Street, Findlay, OH, 45840, USA.
University of Findlay · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are small vesicles secreted by cells and are known to carry sub-cellular components including microRNA, proteins, and lipids. Due to their ability to transport cargo between cells, EVs have been identified as important regulators of various pathophysiological conditions and can therefore influence treatment outcomes. In particular, the significance of microRNAs in EV-mediated cell-cell communication is well-documented. While the influence of EVs and the cargo delivered by EVs has been extensively reviewed in other neurological disorders, the available literature on the potential role of EVs in the pathophysiology of drug addiction has not been reviewed. Hence, in this article, the known effects of commonly abused drugs (ethanol, nicotine, opiates, cocaine, and cannabinoids) on EV secretion have been reviewed. In addition, the potential role of drugs of abuse in affecting the delivery of EV-packaged microRNAs, and the subsequent impact on neuronal health and continued drug dependence, has been discussed.

Indexed as

AnimalsExtracellular VesiclesHumansIllicit DrugsModels, BiologicalSubstance-Related DisordersIllicit DrugsDrug addictionExosomesExtracellular vesiclesmicroRNA

Identifiers

PMID29363042
OpenAlexW2784489454

What OpenQuestion holds

Textmetadata
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.