Evidence map›Paper›PMID 31199560›Full record

ArticleFEBS open bio2019

Identification of potential diagnostic biomarkers for Parkinson's disease.

Fenghua Jiang, Qianqian Wu, Shuqian Sun, Guanghui Bi, Ling Guo

Open access · goldAbstract read
In one paragraph

Article in FEBS open bio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 53 citations in OpenAlex.

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  7. Analysis ofBiomedicines · 2024
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  15. The Potential ofGenes · 2023
    Article
  16. Role and Dysregulation of miRNA in Patients with Parkinson's Disease.International journal of molecular sciences · 2022
    Article
  17. Article
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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

5 authors at 2 institutions in 1 country.

Fenghua JiangDepartment of Neurology, Dongying People's Hospital, China.
Qianqian WuDepartment of Neurology, Dongying People's Hospital, China.
Shuqian SunDepartment of Neurology, Dongying People's Hospital, China.
Guanghui BiDepartment of Neurology, Dongying People's Hospital, China.
Ling GuoDepartment of Rheumatology, Dongying People's Hospital, China.
Dongyang People's Hospital · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of biomarkers for early diagnosis of Parkinson's disease (PD) prior to the onset of symptoms may improve the effectiveness of therapy. To identify potential biomarkers, we downloaded microarray datasets of PD from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between PD and normal control (NC) groups were obtained, and the feature selection procedure and classification model were used to identify optimal diagnostic gene biomarkers for PD. A total of 1229 genes (640 up-regulated and 589 down-regulated) were obtained for PD, and nine DEGs (PTGDS, GPX3, SLC25A20, CACNA1D, LRRN3, POLR1D, ARHGAP26, TNFSF14 and VPS11) were selected as optimal PD biomarkers with great diagnostic value. These nine DEGs were significantly enriched in regulation of circadian sleep/wake cycle, sleep and gonadotropin-releasing hormone signaling pathway. Finally, we examined the expression of GPX3, SLC25A20, LRRN3 and POLR1D in blood samples of patients with PD by qRT-PCR. GPX3, LRRN3 and POLR1D exhibited the same expression pattern as in our analysis. In conclusion, this study identified nine DEGs that may serve as potential biomarkers of PD.

Indexed as

AdultBiomarkersDatabases, GeneticDNA-Directed RNA PolymerasesFemaleGene ExpressionGene Expression ProfilingGene Regulatory NetworksGlutathione PeroxidaseHumansMaleMembrane GlycoproteinsParkinson DiseaseTranscriptomeBiomarkersDNA-Directed RNA PolymerasesGlutathione PeroxidaseGPX3 protein, humanLRRN3 protein, humanMembrane GlycoproteinsPOLR1D protein, humanbiomarkerdifferentially expressed genesintegrated analysisParkinson's disease

Identifiers

PMID31199560
PMCPMC6668373
OpenAlexW2951268836

What OpenQuestion holds

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LicenceCC BY
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.