Evidence map›Paper›PMID 22629284›Full record

ArticleFrontiers in genetics2012

The Path to microRNA Therapeutics in Psychiatric and Neurodegenerative Disorders.

Anthony W S Chan, Jannet Kocerha

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
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  15. miRNAs: Key Players in Neurodegenerative Disorders and Epilepsy.Journal of Alzheimer's disease : JAD · 2015
    Review
  16. Selective filtering defect at the axon initial segment in Alzheimer's disease mouse models.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
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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 2 institutions in 1 country.

Anthony W S ChanYerkes National Primate Research Center Atlanta, GA, USA.
Jannet Kocerha
Emory National Primate Research CenterEmory University · US

Funding

Yerkes National Primate Research Center Role of type-I IFN in regulating COVID-19 induced inflammation and pathogenesisP51OD011132 · OD · EMORY UNIVERSITY · PI Joon Sup Lee · 2012 to 2026
$167.0M
Establishment of a transgenic monkey of Huntingtons's dieseaseR24RR018827 · NCRR · EMORY UNIVERSITY · PI CHAN, ANTHONY WING SANG · 2004 to 2011
$6.2M
Transgenic Huntington's disease monkey resourceR24OD010930 · OD · EMORY UNIVERSITY · PI CHAN, ANTHONY WING SANG · 2012 to 2018
$6.1M
NCRR NIH HHS R24 RR018827NIH HHS P51 OD011132NIH HHS R24 OD010930
6 · The paper itself

Abstract

The microRNA (miRNA) class of non-coding RNAs exhibit a diverse range of regulatory roles in neuronal functions that are conserved from lower vertebrates to primates. Disruption of miRNA expression has compellingly been linked to pathogenesis in neuropsychiatric and neurodegenerative disorders, such as schizophrenia, Alzheimer's disease, and autism. The list of transcript targets governed by a single miRNA provide a molecular paradigm applicable for therapeutic intervention. Indeed, reports have shown that specific manipulation of a miRNA in cell or animal models can significantly alter phenotypes linked with neurological disease. Here, we review how a diverse range of biological systems, including Drosophila, rodents, and primates such as monkeys and humans, can be integrated into the translation of miRNAs as novel clinical targets.

Indexed as

microRNAsmonkeysneurodegenerationnon-coding RNAprimatespsychiatricschizophreniatherapeutics

Identifiers

PMID22629284
PMCPMC3354561
OpenAlexW1966852386

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.