Evidence map›Paper›PMID 30899302›Full record

ArticleArchives of medical science : AMS2019

Identification of key proteins and lncRNAs in hypertrophic cardiomyopathy by integrated network analysis.

Xiaofeng Hu, Guilin Shen, Xiaoli Lu, Guomin Ding, Lishui Shen

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 19 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

5 authors at 1 institution in 1 country.

Xiaofeng HuDepartment of Cardiology, Zhejiang Hospital, Hangzhou, Zhejiang Province, China.
Guilin ShenDepartment of Cardiology, Anji People's Hospital, Huzhou, Zhejiang Province, China.
Xiaoli LuDepartment of Cardiology, Anji People's Hospital, Huzhou, Zhejiang Province, China.
Guomin DingDepartment of Cardiology, Anji People's Hospital, Huzhou, Zhejiang Province, China.
Lishui ShenDepartment of Cardiology, Zhejiang Hospital, Hangzhou, Zhejiang Province, China.
Zhejiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypertrophic cardiomyopathy (HCM), a genetically heterogeneous disorder of cardiac myocytes, is one of the main causes of sudden cardiac death of young people. However, the molecular mechanism involved in HCM has remained largely unclear. Of note, non-coding RNAs were reported to play an important role in human diseases. In this study, we focused on identifying differentially expressed long non-coding RNA (lncRNAs) and mRNAs in HCM by analyzing a public dataset (GSE36961). MATERIAL AND

methodsWe performed bioinformatics analysis to explore key pathways underlying HCM progression. Gene Ontology (GO) analysis was first performed to evaluate the potential roles of differentially expressed genes and lncRNAs in HCM. Moreover, protein-protein interaction (PPI) networks were constructed to reveal interactions among differentially expressed proteins. Specifically, co-expression networks were also constructed to identify hub lncRNAs in HCM.

resultsA total of 6147 mRNAs (

conclusionsTaken together, our analysis revealed a series of lncRNAs and mRNAs that were differentially expressed in HCM and which were involved in HCM progression by regulating pathways, such as metabolism, energy pathways, signal transduction, and cell communication. This study will provide useful information to explore the mechanisms underlying HCM progression and to provide potential candidate biomarkers for diagnosis in HCM.

Indexed as

co-expression analysisdifferentially expressed genehypertrophic cardiomyopathylong non-coding RNAprotein-protein interaction analysis

Identifiers

PMID30899302
PMCPMC6425197
OpenAlexW2800787152

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.