Evidence map›Paper›PMID 36131186›Full record

ArticleApoptosis : an international journal on programmed cell death2022

A ZFP42/MARK2 regulatory network reduces the damage of retinal ganglion cells in glaucoma: a study based on GEO dataset and in vitro experiments.

Yuan Yin, Shuai Wu, Lingzhi Niu, Shiwei Huang

Abstract read
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In one paragraph

Article in Apoptosis : an international journal on programmed cell death, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 4 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Yuan YinDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, 130042, Jilin, People's Republic of China.
Shuai WuDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, 130042, Jilin, People's Republic of China.
Lingzhi NiuDepartment of Ophthalmology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, People's Republic of China.
Shiwei HuangDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, 130042, Jilin, People's Republic of China. hsw1979@jlu.edu.cn.
Second Affiliated Hospital of Jilin University · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glaucoma is a common disorder in which the death of retinal ganglion cells (RGCs) results in a progressive loss of sight, even blindness. This study was performed to reveal the key molecular mechanism of RGC damage in glaucoma based on the Gene Expression Omnibus database. Glaucoma-related microarray datasets were identified, followed by collection of differentially expressed genes (DEGs) with the key genes discovered by weighted gene co-expression network analysis. Through LASSO regression analysis, candidate genes involved in the pathogenesis of glaucoma were identified with their accuracy evaluated by receiver operating characteristic curve analysis. The glaucoma-specific transcriptional regulatory network was constructed to determine the key transcription factor regulatory axis. Then, in vitro cell models were established using H

Indexed as

GlaucomaRetinal Ganglion CellsApoptosisHumansHydrogen PeroxideProtein Serine-Threonine KinasesTranscription FactorsHydrogen PeroxideMARK2 protein, humanProtein Serine-Threonine KinasesTranscription FactorsGene Expression Omnibus databaseGlaucomaMARK2Retinal ganglion cellsTranscription factorZFP42

Identifiers

PMID36131186
OpenAlexW4296552588

What Socratic 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 Socratic graph.