Evidence map›Paper›PMID 28791585›Full record

ReviewNeuroscience bulletin2017

Transcription Factors: Potential Cell Death Markers in Parkinson's Disease.

Ronglin Wang, Shaosong Yang, Tiejian Nie, Gang Zhu, Dayun Feng, Qian Yang

Open access · greenAbstract readReview
In one paragraph

Review in Neuroscience bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 39% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Extended Study ofFrontiers in neurology · 2020
    Article
  9. 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

6 authors at 1 institution in 1 country.

Ronglin WangDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China.
Shaosong YangDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China.
Tiejian NieDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China.
Gang ZhuDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China.
Dayun FengDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China.
Qian YangDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China. qianyang@fmmu.edu.cn.
Air Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a neurodegenerative disease with a long preclinical phase. The continuous loss of dopaminergic (DA) neurons is one of the pathogenic hallmarks of PD. Diagnosis largely depends on clinical observation, but motor dysfunctions do not emerge until 70%-80% of the nigrostriatal nerve terminals have been destroyed. Therefore, a biomarker that indicates the degeneration of DA neurons is urgently needed. Transcription factors are sequence-specific DNA-binding proteins that regulate RNA synthesis from a DNA template. The precise control of gene expression plays a critical role in the development, maintenance, and survival of cells, including DA neurons. Deficiency of certain transcription factors has been associated with DA neuron loss and PD. In this review, we focus on some transcription factors and discuss their structure, function, mechanisms of neuroprotection, and their potential for use as biomarkers indicating the degeneration of DA neurons.

Indexed as

BiomarkersDopaminergic NeuronsHumansNerve DegenerationNeuroprotectionParkinson DiseaseTranscription FactorsBiomarkersTranscription FactorsBiomarkerCell deathDopaminergic neuronParkinson’s diseaseTranscription factor

Identifiers

PMID28791585
PMCPMC5636736
OpenAlexW2743215996

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.