Evidence map›Paper›PMID 26556537›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2015

Potential Role of lncRNAs in Contributing to Pathogenesis of Intervertebral Disc Degeneration Based on Microarray Data.

Yu Chen, Haijian Ni, Yingchuan Zhao, Kai Chen, Ming Li, Cheng Li, Xiaodong Zhu, Qiang Fu

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.1field-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

36 citing papers in PubMed, 49 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

8 authors at 2 institutions in 1 country.

Yu ChenDepartment of Orthopaedics, Changhai Hospital, Second Military Medical University, Shanghai, China (mainland).
Haijian NiDepartment of Orthopaedics, Changhai Hospital, Second Military Medical University, Shanghai, China (mainland).
Yingchuan ZhaoDepartment of Orthopaedics, Changhai Hospital, Second Military Medical University, Shanghai, China (mainland).
Kai ChenDepartment of Orthopaedics, Changhai Hospital, Second Military Medical University, Shanghai, China (mainland).
Ming LiDepartment of Orthopaedics, Changhai Hospital, Second Military Medical University, Shanghai, China (mainland).
Cheng LiDepartment of Orthopaedics, Changhai Hospital, Second Military Medical University, Shanghai, China (mainland).
Xiaodong ZhuDepartment of Orthopaedics, Changhai Hospital, Second Military Medical University, Shanghai, China (mainland).
Qiang FuDepartment of Orthopaedics, Changhai Hospital, Second Military Medical University, Shanghai, China (mainland).
Second Military Medical University · CNChanghai Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study intended to identify potential long non-coding RNAs (lncRNAs) and genes, and to elucidate the underlying mechanisms of intervertebral disc degeneration (IDD). MATERIAL AND

methodsThe microarray of GSE56081 was downloaded from the Gene Expression Omnibus database, including 5 human control nucleus pulposus tissues and 5 degenerative nucleus pulposus tissues, which was on the basis of GPL15314 platform. Identification of differentially expressed lncRNAs and mRNAs were performed between the 2 groups. Then, gene ontology (GO) and pathway enrichment analyses were performed to analyze the biological functions and pathways for the differentially expressed mRNAs. Simultaneously, lncRNA-mRNA weighted coexpression network was constructed using the WGCNA package, followed by GO and KEGG pathway enrichment analyses for the genes in the modules. Finally, the protein-protein interaction (PPI) network was visualized.

resultsA total of 135 significantly up- and 170 down-regulated lncRNAs and 2133 significantly up- and 1098 down-regulated mRNAs were identified. Additionally, UBA52 (ubiquitin A-52 residue ribosomal protein fusion product 1), with the highest connectivity degree in PPI network, was remarkably enriched in the pathway of metabolism of proteins. Eight lncRNAs - LINC00917, CTD-2246P4.1, CTC-523E23.5, RP4-639J15.1, RP11-363G2.4, AC005082.12, MIR132, and RP11-38F22.1 - were observed in the modules of lncRNA-mRNA weighted coexpression network. Moreover, SPHK1 in the green-yellow module was significantly enriched in positive regulation of cell migration.

conclusionsLncRNAs LINC00917, CTD-2246P4.1, CTC-523E23.5, RP4-639J15.1, RP11-363G2.4, AC005082.12, MIR132, and RP11-38F22.1 were differentially expressed and might play important roles in the development of IDD. Key genes, such as UBA52 and SPHK1, may be pivotal biomarkers for IDD.

Indexed as

Gene Expression ProfilingOligonucleotide Array Sequence AnalysisBiomarkersCell MovementDatabases, GeneticDown-RegulationGene Expression RegulationGene OntologyHumansIntervertebral Disc DegenerationProtein Interaction MappingRNA, Long NoncodingRNA, MessengerBiomarkersRNA, Long NoncodingRNA, Messenger

Identifiers

PMID26556537
PMCPMC4646231
OpenAlexW2116002665

What OpenQuestion holds

Textmetadata
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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.