Evidence map›Paper›PMID 32922692›Full record

ArticleJournal of extracellular vesicles2020

Small RNA fingerprinting of Alzheimer's disease frontal cortex extracellular vesicles and their comparison with peripheral extracellular vesicles.

Lesley Cheng, Laura J Vella, Kevin J Barnham, Catriona McLean, Colin L Masters, Andrew F Hill

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of extracellular vesicles, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 4% 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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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  19. Isolating Astrocyte-Derived Extracellular Vesicles From Urine.International journal of nanomedicine · 2025
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4 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Lesley ChengThe Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Victoria, Australia.
Laura J VellaFlorey Institute of Neuroscience, The University of Melbourne, Victoria, Australia.
Kevin J BarnhamFlorey Institute of Neuroscience, The University of Melbourne, Victoria, Australia.
Catriona McLeanFlorey Institute of Neuroscience, The University of Melbourne, Victoria, Australia.
Colin L MastersFlorey Institute of Neuroscience, The University of Melbourne, Victoria, Australia.
Andrew F HillThe Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Victoria, Australia.ORCID https://orcid.org/0000-0001-5581-2354
The University of Melbourne · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease is a progressive neurodegenerative disorder, with the strongest disease-associated changes observed at clinical or end-stage disease. Transcriptomic deregulation of miRNA expression can spread via "horizontal" RNA transfer through extracellular vesicles (EVs) to act in conjunction with proteins, leading to changes in mRNA, which can provide early signals to indicate forthcoming neuropathological changes in the brain. Here, we analysed the small RNA content, in particular, miRNA, contained in brain-derived EVs isolated from the frontal cortex of Alzheimer's subjects (

Indexed as

Alzheimer’s diseasebrain derived exosomes and extracellular vesiclesexosomesmiRNA

Identifiers

PMID32922692
PMCPMC7448944
OpenAlexW3033416686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.