Evidence map›Paper›PMID 32006234›Full record

ArticleMolecular neurobiology2020

The Anti-Neuron-Specific Enolase Antibody Induced Neuronal Cell Death in a Novel Fashion.

Yasuhiro Yamamoto, Hiromi Koma, Tatsurou Yagami

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Human cytomegalovirus induces neuronal enolase to support virally mediated metabolic remodeling.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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.

Yasuhiro Yamamoto *Division of Physiology, Department of Pharmaceutical Health Care, Faculty of Pharmaceutical Sciences, Himeji Dokkyo University, 7-2-1 Kamiohno, Himeji, Hyogo, 670-8524, Japan.
Hiromi Koma *Division of Physiology, Department of Pharmaceutical Health Care, Faculty of Pharmaceutical Sciences, Himeji Dokkyo University, 7-2-1 Kamiohno, Himeji, Hyogo, 670-8524, Japan.
Tatsurou YagamiDivision of Physiology, Department of Pharmaceutical Health Care, Faculty of Pharmaceutical Sciences, Himeji Dokkyo University, 7-2-1 Kamiohno, Himeji, Hyogo, 670-8524, Japan. yagami@himeji-du.ac.jp.ORCID http://orcid.org/0000-0002-5185-6787
Himeji Dokkyo University · JP

Funding

the Ministry of Education, Culture, Sports, Science, and Technology of Japan Grant-in-Aid 17K08327
6 · The paper itself

Abstract

Suppression of ubiquitin proteasome pathway (UPP) and stimulation of caspase-3 are involved in neurodegeneration. Can UPP activators and caspase-3 inhibitors ameliorate neurodegeneration? Here, we found a novel neuronal cell death accompanied with UPP activation and caspase-3 inhibition. Recently, plasmalemmal neuron-specific enolase (NSE) has been identified as one of membrane targets of 15-deoxy-Δ

Indexed as

AcetylcysteineAdenosine TriphosphateAnimalsAntioxidantsCalcium SignalingCaspase 1Caspase 3Cell DeathCerebral CortexChromatinEnzyme ActivationFemaleGlutathioneGoatsHSP70 Heat-Shock ProteinsImmunoglobulin G15-deoxyprostaglandin J2AcetylcysteineAdenosine TriphosphateAntioxidantsCasp3 protein, ratCaspase 1Caspase 3ChromatinGlutathioneHSP70 Heat-Shock ProteinsImmunoglobulin GPhosphopyruvate HydrataseProstaglandin D2Proteasome Endopeptidase ComplexUbiquitinApoptosisAutophagyCaspase-3FerroptosisNecrosisNeuronal cell deathNeuron-specific enolasePyroptosisUbiquitin proteasome pathway

Identifiers

PMID32006234
OpenAlexW3003856550

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.