Evidence map›Paper›PMID 25522749›Full record

ArticleMolecular medicine reports2015

Aberrant expression of long noncoding RNAs in chronic thromboembolic pulmonary hypertension.

Song Gu, Guanghui Li, Xitao Zhang, Jun Yan, Jie Gao, Xiangguang An, Yan Liu, Pixiong Su

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

25 citing papers in PubMed, 40 citations in OpenAlex.

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  18. Long noncoding RNAs as novel players in the pathogenesis of hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2020
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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.

Song GuDepartment of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China.
Guanghui LiDepartment of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China.
Xitao ZhangDepartment of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China.
Jun YanDepartment of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China.
Jie GaoDepartment of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China.
Xiangguang AnDepartment of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China.
Yan LiuDepartment of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China.
Pixiong SuDepartment of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China.
Beijing Chao-Yang Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic thromboembolic pulmonary hypertension (CTEPH) is one of the primary causes of severe pulmonary hypertension. In order to identify long noncoding RNAs (lncRNAs) that may be involved in the development of CTEPH, comprehensive lncRNA and messenger RNA (mRNA) profiling of endothelial tissues from the pulmonary arteries of CTEPH patients was conducted with microarray analysis. Differential expression of 185 lncRNAs was observed in the CTEPH tissues compared with healthy control tissues. Further analysis identified 464 regulated enhancer‑like lncRNAs and overlapping, antisense or nearby mRNA pairs. Coexpression networks were subsequently constructed and investigated. The expression levels of the lncRNAs, NR_036693, NR_027783, NR_033766 and NR_001284, were significantly altered. Gene ontology and pathway analysis demonstrated the potential role of lncRNAs in the regulation of central process, including inflammatory response, response to endogenous stimulus and antigen processing and presentation. The use of bioinformatics may help to uncover and analyze large quantities of data identified by microarray analyses, through rigorous experimental planning, statistical analysis and the collection of more comprehensive data regarding CTEPH. The results of the present study provided evidence which may be helpful in future studies on the diagnosis and management of CTEPH.

Indexed as

Gene ExpressionAdolescentAdultCase-Control StudiesChronic DiseaseCluster AnalysisComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHumansHypertension, PulmonaryMaleMiddle AgedPulmonary EmbolismRNA, Long NoncodingRNA, Long NoncodingRNA, Messenger

Identifiers

PMID25522749
PMCPMC4337719
OpenAlexW2154538287

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.