Evidence map›Paper›PMID 28418905›Full record

ArticleOncotarget2017

Expression pattern of genome-scale long noncoding RNA following acute myocardial infarction in Chinese Uyghur patients.

Hui Zhai, Xiao-Mei Li, Fen Liu, Bang-Dang Chen, Hong Zheng, Xue-Mei Wang, Wu Liao, Qing-Jie Chen, Yi-Tong Ma, Yi-Ning Yang

Abstract read
In one paragraph

Article in Oncotarget, 2017. 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
–field-weighted citation impact
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.

  1. Genome-Scale Expression Pattern of Long Non-Coding RNAs in Chinese Uyghur Patients with Parkinson's Disease.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Trial
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Review
  8. Diagnostic and Prognostic Biomarkers for Myocardial Infarction.Frontiers in cardiovascular medicine · 2020
    Review
  9. Article
  10. Review
  11. Article
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.

Hui ZhaiDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xiao-Mei LiDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Fen LiuXinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, China.
Bang-Dang ChenXinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, China.
Hong ZhengAnesthesia Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xue-Mei WangXinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, China.
Wu LiaoDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Qing-Jie ChenDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yi-Tong MaDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yi-Ning YangDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we examined the long noncoding RNA (lncRNA) expression pattern in Uyghur patients (a minority of China) with acute myocardial infarction (AMI) on a genome-wide scale. Total RNAs were extracted from the peripheral blood of 55 Uyghur AMI patients and 55 healthy volunteers. The expression levels of genome-wide scale lncRNAs and mRNAs were determined by microarray in 10 samples (5 AMI and 5 controls). qRT-PCR was used to validate lncRNA expression levels in 100 samples (50 AMI and 50 controls). Data analyses were performed using R and Bioconductor. A total of 3624 up- and 1637 down-regulated lncRNAs were identified to be significantly and differentially expressed between these two groups. The annotation result of their co-expressed mRNAs showed that the most significantly related category of GO analysis was regulation of biological processes, and the most significantly related pathway was apoptosis and its corresponding p53. The microarray identified ENST00000416860.2, ENST00000421157.1 and TCONS_00025701 lncRNAs were confirmed by qRT-PCR. Our study indicated that clusters of lncRNAs were significantly and differentially expressed in the peripheral blood of AMI patients when compared with healthy controls within the Uyghur population. These newly identified lncRNAs may have a potential role in the development of AMI.

Indexed as

Genome-Wide Association StudyTranscriptomeAdultAgedCase-Control StudiesChinaComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansMaleMiddle AgedMolecular Sequence AnnotationRNA, Long NoncodingRNA, Messengeracute myocardial infarctionlong non-coding RNAmicroarray

Identifiers

PMID28418905
PMCPMC5458221

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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.