Evidence map›Paper›PMID 23076523›Full record

ArticleMolecular biology reports2012

Identification of key pathways and transcription factors related to Parkinson disease in genome wide.

Bin Zhang, Cuiping Xia, Qunfeng Lin, Jie Huang

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 90% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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 3 institutions in 1 country.

Bin ZhangDepartment of Neurology, FenXian Central Hospital Affiliated to Southern Medical University, FenXian Hospital Affiliated to Anhui University of Science & Technology, Shanghai, 233400, China.
Cuiping Xia
Qunfeng Lin
Jie Huang
Anhui University of Science and Technology · CNSouthern Medical University · CNXian Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson disease (PD) is a common neurodegenerative disease. Most people with PD are idiopathic, with no specific known cause. Recently, several studies have indicated small proportion of PD cases may result from a mutation in some specific genes. However, the involved pathways of these genes and the co-expression patterns of associated pathways still remain unclear. Here, we aimed to systematically investigate PD related pathways by using microarray dataset GSE7621 from the public database library of gene expression omnibus and gene set enrichment analysis on the datasets. Furthermore, candidate transcription factors were also explored by distant regulatory elements software. As a result, 11 up-regulated pathways (such as glycosaminoglycan degradation) and 24 down-regulated pathways (such as ErbB signaling pathway and Long-term depression) were identified as PD related. Most of them were classified into the maps of human diseases, organismal system, and metabolism with no previous reports. Finally, we constructed co-expression networks of related pathways with the significant core genes and transcription factors, such as OCT and HNF3. All of these may be helpful to better understand the molecular mechanisms of human PD in genome wide.

Indexed as

Genome-Wide Association StudyDown-RegulationGene Regulatory NetworksGenome, HumanHumansParkinson DiseaseSignal TransductionTranscription FactorsUp-RegulationTranscription Factors

Identifiers

PMID23076523
OpenAlexW2029344309

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.