Evidence map›Paper›PMID 32876919›Full record

ArticleNeurotoxicity research2021

Dexamethasone Protects Against Ischaemic Brain Injury via Inhibiting the pAkt Signalling Pathway Through Increasing Hap1.

Ning Xin, Jun Lu, Yanlong Zhou, Yanbo Cheng

Abstract read
PubMed Publisher
In one paragraph

Article in Neurotoxicity research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

4 authors at 1 institution in 1 country.

Ning XinDepartment of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou City, 221000, Jiangsu Province, China.
Jun LuDepartment of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou City, 221000, Jiangsu Province, China.
Yanlong ZhouDepartment of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou City, 221000, Jiangsu Province, China.
Yanbo ChengDepartment of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou City, 221000, Jiangsu Province, China. chengyanboo@gmail.com.
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dexamethasone has been reported to reduce the infarct volume and protect neurological function after ischaemic injury, but the mechanism of Dex in brain injury is not clear. We aimed to study the mechanism by which dexamethasone protects against ischaemic brain injury. Western blotting was to detected the expression of Hap1,TrkB, Akt and Erk; TTC staining to analyse ischemic volume; neurological deficit evaluation to test degree of ischemic injury; immunofluorescence staining to analyse the distribution of Hap1; and the MCAO model was used to study these processes. All data are expressed as the means ± SEM and were analysed by GraphPad Prism 6. P < 0.05 was considered statistically significant. After dexamethasone (Dex) treatment, Hap1 levels were increased and peaked at 2 days; then, we found that body weight was decreased in Hap1

Indexed as

AnimalsBrain IschemiaDexamethasoneDisease Models, AnimalMaleMiceMice, Inbred ICRNerve Tissue ProteinsNeuroprotective AgentsPhosphorylationProto-Oncogene Proteins c-aktSignal TransductionDexamethasoneHap1 protein, mouseNerve Tissue ProteinsNeuroprotective AgentsProto-Oncogene Proteins c-aktAktDexamethasoneHap1Stroke

Identifiers

PMID32876919
OpenAlexW3082276292

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.