Evidence map›Paper›PMID 33507382›Full record

ArticleMolecular genetics and genomics : MGG2021

Identification of hub lncRNA ceRNAs in multiple sclerosis based on ceRNA mechanisms.

Yanjun Ding, Taotao Li, Xinwei Yan, Mintian Cui, Chao Wang, Situo Wang, Fengmin Zhang, Ruijie Zhang

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 17 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 1 institution in 1 country.

Yanjun DingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.ORCID http://orcid.org/0000-0003-3980-7701
Taotao LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.
Xinwei YanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.
Mintian CuiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.
Chao WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.
Situo WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.
Fengmin ZhangDepartment of Microbiology, WU Lien-Teh Institute, Harbin Medical University, Harbin, 150086, China. fengminzhang@ems.hrbmu.edu.cn.
Ruijie ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China. zhangrj@ems.hrbmu.edu.cn.
Harbin Medical University · CN

Funding

Natural Science Foundation of Heilongjiang Province LH2019C043
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system, and the pathogenesis is influenced by genetic susceptibility. Accumulating evidence has demonstrated that long non-coding RNAs (lncRNAs) play essential roles in complex diseases, including acting as competing endogenous RNAs (ceRNAs). However, the functional roles and regulatory mechanisms of lncRNAs acting as ceRNAs in MS are still unclear. In this study, we identified hub lncRNA ceRNAs in MS based on ceRNA mechanisms and annotated their functions. The lncRNA-associated ceRNA network (LACN) was constructed by integrating the expression profiles of lncRNA/mRNA and miRNA in MS and normal samples, and the experimentally validated interactions of lncRNA-miRNA and mRNA-miRNA. We found three hub lncRNA ceRNAs (XIST, OIP5-AS1, and CTB-89H12.4) using the network analysis and obtained 96 lncRNA-mediated competing triplets (LCTs, lncRNA-miRNA-mRNA) with the hub lncRNA ceRNAs, which constituted 3 hub ceRNA modules. The functional analysis identified 12 pathways enriched by the 3 hub lncRNA ceRNAs, of which 6 were confirmed to be related to MS. For example, XIST was enriched in the 'spliceosome' and 'RNA transport' related to the typing of MS, and CTB-89H12.4 was enriched in the 'mTOR signaling pathway,' a potential therapeutic target for MS. We dissected the expression patterns of the 96 LCTs in MS individually. LCT XIST-miR-326-HNRNPA1, for which the expression pattern in MS revealed that XIST and HNRNPA1 were up-regulated and miR-326 was down-regulated, consisted of risk RNAs for MS that were validated by other research. Therefore, XIST-miR-326-HNRNPA1 might play a central role in the pathogenesis of MS. These results will contribute to the discovery of novel biomarkers and the development of new therapeutic methods for MS.

Indexed as

Biomarkers, TumorDatabases, GeneticGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGenetic Predisposition to DiseaseHeterogeneous Nuclear Ribonucleoprotein A1HumansMicroRNAsMolecular Sequence AnnotationMultiple SclerosisRNA, Long NoncodingRNA, MessengerBiomarkers, TumorHeterogeneous Nuclear Ribonucleoprotein A1hnRNPA1 protein, humanMicroRNAsMIRN326 microRNA, humanRNA, Long NoncodingRNA, MessengerXIST non-coding RNAceRNA networkCeRNAslncRNA-mediated competing tripletsLncRNAsMS

Identifiers

PMID33507382
OpenAlexW3121972381

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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.