Evidence map›Paper›PMID 25381575›Full record

ReviewMolecular neurobiology2015

ATF4: a Novel Potential Therapeutic Target for Alzheimer's Disease.

Na Wei, Ling-Qiang Zhu, Dan Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
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  5. NADCell death & disease · 2024
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  20. Neurodegeneration: Keeping ATF4 on a Tight Leash.Frontiers in cellular neuroscience · 2017
    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

3 authors at 1 institution in 1 country.

Na WeiInstitute of Brain Research, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Ling-Qiang ZhuInstitute of Brain Research, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Dan LiuInstitute of Brain Research, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China. liudan_echo@mail.hust.edu.cn.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activating transcription factor 4 (ATF4) belongs to the activating transcription factor family and its expression is increased upon the stimulation of a diverse array of microenvironmental stresses. ATF4 plays a major role in the development, metabolism, and memory formation. Alzheimer's disease (AD) is a prevalent neurodegenerative disease in aged population. The dominant pathological changes in AD brain, including the neurofibrillary tangles, consist of hyperphosphorylated tau protein, senile plaques composed of β-amyloid proteins, loss of neurons in the whole brain, and dysfunction of synapses. The protein level of ATF4 is upregulated in both AD brain and AD mouse model, indicating its latent roles in the pathogenesis of this disease. In this paper, we reviewed the related literatures about the interaction of ATF4 with the different types of pathological changes in AD brain and pointed out some unsolved problems in this area. We also proposed that a fine regulation of ATF4 in separate neurons or brain regions might be benefit to the therapy of AD.

Indexed as

Activating Transcription Factor 4Alzheimer DiseaseAnimalsBrainHumansNeuronsSynapsestau ProteinsActivating Transcription Factor 4tau ProteinsAlzheimer’s diseaseApoptosisATF4AβSynapseTau

Identifiers

PMID25381575
OpenAlexW2072960132

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.