Evidence map›Paper›PMID 33174017›Full record

ArticleMolecular medicine reports2020

Identification of circulating hub long noncoding RNAs associated with hypertrophic cardiomyopathy using weighted correlation network analysis.

Qi Guo, Junjie Wang, Runlu Sun, Wenli Gu, Zhijian He, Qian Chen, Wenhao Liu, Yangxin Chen, Jingfeng Wang, Yuling Zhang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 13 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

10 authors at 2 institutions in 1 country.

Qi GuoDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Junjie WangDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Runlu SunDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Wenli GuDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Zhijian HeDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Qian ChenDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Wenhao LiuDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Yangxin ChenDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Jingfeng WangDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Yuling ZhangDepartment of Cardiology, Sun Yat‑sen Memorial Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510000, P.R. China.
Sun Yat-sen Memorial Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is one of the most commonly inherited heart diseases and the leading cause of sudden cardiac death among adolescents and young adults. Circulating long noncoding RNAs (lncRNAs) have demonstrated potential as diagnostic and therapeutic targets in several cardiovascular diseases. However, the circulating extracellular lncRNA expression profile of patients with HCM remains unclear. Plasma lncRNA expression was evaluated in patients with HCM and healthy controls using a human lncRNA microarray. A weighted correlation network analysis (WGCNA) and linear models for microarray data (Limma) were used. GSE68316 data from cardiac tissue in the Gene Expression Omnibus database were analysed for further validation. Using WGCNA, two modules (referred to as the magenta and the light‑yellow module) were identified that were positively associated with HCM. Gene Ontology analysis revealed that lncRNAs in the magenta module targeted 'heart growth'. Using Limma, a total of 290 lncRNAs were differentially expressed (210 upregulated and 80 downregulated) in the plasma of HCM patients, compared with controls. Moreover, combined WGCNA and Limma analysis demonstrated that 27 hub lncRNAs in the magenta module and 13 hub lncRNAs in the light‑yellow module were significantly upregulated, compared with the controls. Moreover, of the 40 differentially expressed hub lncRNAs identified in the two modules, three circulating lncRNAs (lnc‑P2RY6‑1:1, ENST00000488040 and ENST00000588047) were also significantly upregulated in the HCM cardiac tissue validation dataset. These lncRNAs may serve as biomarkers and therapeutic targets for precise diagnosis and treatment of HCM.

Indexed as

AgedBiomarkersCardiomyopathy, HypertrophicCase-Control StudiesCell-Free Nucleic AcidsChinaFemaleGene ExpressionGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansMaleMiddle AgedRNA, Long NoncodingRNA, MessengerBiomarkersCell-Free Nucleic AcidsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID33174017
PMCPMC7646839
OpenAlexW3091967790

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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.