Evidence map›Paper›PMID 35022247›Full record

ArticleLife science alliance2022

Testing of the therapeutic efficacy and safety of AMPA receptor RNA aptamers in an ALS mouse model.

Megumi Akamatsu, Takenari Yamashita, Sayaka Teramoto, Zhen Huang, Janet Lynch, Tatsushi Toda, Li Niu, Shin Kwak

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

Article in Life science alliance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
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 at 3 institutions in 2 countries.

Megumi AkamatsuDepartment of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-6893-805X
Takenari YamashitaDepartment of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Sayaka TeramotoDepartment of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Zhen HuangDepartment of Chemistry, University of Albany, State University of New York, Albany, NY, USA.
Janet LynchDepartment of Chemistry, University of Albany, State University of New York, Albany, NY, USA.
Tatsushi TodaDepartment of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-0717-1123
Li NiuDepartment of Chemistry, University of Albany, State University of New York, Albany, NY, USA lniu@albany.edu.ORCID 0000-0002-0917-9663
Shin KwakDepartment of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan kwak@tokyo-med.ac.jp.ORCID 0000-0002-9936-6664
Albany State University · USThe University of Tokyo · JPTokyo Medical University · JP

Funding

Testing RNA Aptamers in ALS Mouse ModelsR21NS106392 · NINDS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI NIU, LI · 2018 to 2019
$406k
NINDS NIH HHS R21 NS106392
6 · The paper itself

Abstract

In motor neurons of sporadic amyotrophic lateral sclerosis (ALS) patients, the RNA editing at the glutamine/arginine site of the GluA2 subunit of α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) receptors is defective or incomplete. As a result, AMPA receptors containing the abnormally expressed, unedited isoform of GluA2 are highly Ca

Indexed as

Amyotrophic Lateral SclerosisReceptors, AMPAAnimalsAptamers, NucleotideDisease Models, AnimalDrug Delivery SystemsMaleMiceMotor NeuronsRNA EditingAptamers, NucleotideReceptors, AMPA

Identifiers

PMID35022247
PMCPMC8761490
OpenAlexW4205182047

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.