Evidence map›Paper›PMID 31924195›Full record

ArticleRespiratory research2020

Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs.

Yifang Liao, Ping Li, Yanxia Wang, Hong Chen, Shangwei Ning, Dongju Su

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

22 citing papers in PubMed, 25 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

6 authors at 2 institutions in 1 country.

Yifang LiaoDepartment of Respiratory Medicine, The 2nd Affiliated Hospital of Xiamen Medical College, Xiamen, Fujian, China.
Ping LiDepartment of Radiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Yanxia WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Hong ChenDepartment of Respiratory Medicine, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. chenhong744563@aliyun.com.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China. ningsw@ems.hrbmu.edu.cn.
Dongju SuDepartment of Respiratory Medicine, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. hydhxsdj@126.com.ORCID http://orcid.org/0000-0003-2687-5350
Harbin Medical University · CNZhongshan Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma is a heterogeneous disease characterized by chronic airway inflammation. Long non-coding RNA can act as competing endogenous RNA to mRNA, and play significant role in many diseases. However, there is little known about the profiles of long non-coding RNA and the long non-coding RNA related competing endogenous RNA network in asthma. In current study, we aimed to explore the long non-coding RNA-microRNA-mRNA competing endogenous RNA network in asthma and their potential implications for therapy and prognosis.

methodsAsthma-related gene expression profiles were downloaded from the Gene Expression Omnibus database, re-annotated with these genes and identified for asthma-associated differentially expressed mRNAs and long non-coding RNAs. The long non-coding RNA-miRNA interaction data and mRNA-miRNA interaction data were downloaded using the starBase database to construct a long non-coding RNA-miRNA-mRNA global competing endogenous RNA network and extract asthma-related differentially expressed competing endogenous RNA network. Finally, functional enrichment analysis and drug repositioning of asthma-associated differentially expressed competing endogenous RNA networks were performed to further identify key long non-coding RNAs and potential therapeutics associated with asthma.

resultsThis study constructed an asthma-associated competing endogenous RNA network, determined 5 key long non-coding RNAs (MALAT1, MIR17HG, CASC2, MAGI2-AS3, DAPK1-IT1) and identified 8 potential new drugs (Tamoxifen, Ruxolitinib, Tretinoin, Quercetin, Dasatinib, Levocarnitine, Niflumic Acid, Glyburide).

conclusionsThe results suggested that long non-coding RNA played an important role in asthma, and these novel long non-coding RNAs could be potential therapeutic target and prognostic biomarkers. At the same time, potential new drugs for asthma treatment have been discovered through drug repositioning techniques, providing a new direction for the treatment of asthma.

Indexed as

Anti-Asthmatic AgentsAsthmaGene Regulatory NetworksHumansRNA, Long NoncodingTranscriptomeAnti-Asthmatic AgentsRNA, Long NoncodingAsthmaCompeting endogenous RNA networkDrug repositioningLong non-coding RNAmRNA

Identifiers

PMID31924195
PMCPMC6954528
OpenAlexW3000460175

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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.