Evidence map›Paper›PMID 30665415›Full record

ArticleBMC systems biology2019

miRNAs and target genes in the blood as biomarkers for the early diagnosis of Parkinson's disease.

Xiaoting Liu, Jinhu Chen, Tianyuan Guan, Hui Yao, Wenpei Zhang, Zhenlong Guan, Yanqin Wang

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Xiaoting LiuDepartment of Physiology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Jinhu ChenDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, China.
Tianyuan GuanDepartment of Neurology, Hebei General Hospital, Shijiazhuang, China.
Hui YaoDepartment of Physiology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Wenpei ZhangDepartment of Physiology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Zhenlong GuanDepartment of Physiology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Yanqin WangDepartment of Physiology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China. yqw1016@163.com.ORCID 0000-0001-5056-1963
Hebei Normal University · CNHebei General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is the second most common neurodegenerative disease, and it is a multifactorial disease with no definite diagnostic index. The aim of this study is to construct a molecular network to find molecules that play important roles in the progression of PD with the goal of using them diagnostically and for early intervention.

resultsWe downloaded two gene expression profiles (GSE54536 and GSE100054) from the Expression Omnibus (GEO) database to analyze possible markers. The Genes were analyzed with GEO2R. There were 1790 and 967 differentially expressed genes (DEGs) in GSE54536 and GSE100054 respectively. A total of 125 genes co-exist in the DEGs of the two data sets. KEGG pathway analysis showed that 125 DEGs were enriched in Aldosterone synthesis and secretion, Gap junctions, Platelet activation, Rap1 signaling pathway, and Estrogen signaling pathway. There were 20 hub genes among 125 DEGs analyzed by PPI that involved in Platelet activation, Inflammatory response, Innate immune response, B cell receptor signaling, Stimulatory C-type lectin receptor signaling, Lipopolysaccharide response, Leukocyte migration, and Regulation of cell proliferation. Additionally, 42 differences in miRNAs were found in GSE100054. We constructed a miRNA-mRNA regulatory network depicting interactions between the predicted genes and the 125 DEGs. 34 miRNA-mRNA pairs were obtained. We found GNAQ and TMTC2 were the most important mRNAs in the network analyzed by Cytoscape APP centiscape, and their degrees in centiscape2.2 were all 10. has-miR-142 was the most important miRNA (the highest degree is 4 in centiscape2.2), which forms miRNA-mRNA pairs with GNAQ, TMTC2, BEND2, and KYNU.

conclusionsThis study provides data of potential biomarkers and therapeutic targets for PD diagnosis and treatment. Among them, hsa-miR-142 is a critical miRNA in the PD network, and may be involved in PD progression by regulating GNAQ, TMTC2, BEND2, and KYNU.

Indexed as

BiomarkersComputational BiologyEarly DiagnosisGene Expression ProfilingGene Regulatory NetworksHumansMicroRNAsParkinson DiseaseProtein Interaction MappingBiomarkersMicroRNAsFunctional enrichment analysismiRNA-mRNA pairsParkinson’s diseaseProtein–protein interaction

Identifiers

PMID30665415
PMCPMC6341689
OpenAlexW2917487407

What OpenQuestion holds

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Registered trials

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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.