Evidence map›Paper›PMID 24205036›Full record

ArticlePloS one2013

Transcriptome analysis reveals distinct patterns of long noncoding RNAs in heart and plasma of mice with heart failure.

Danhua Li, Geng Chen, Jichun Yang, Xiaofang Fan, Yongsheng Gong, Guoheng Xu, Qinghua Cui, Bin Geng

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

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 99 citations in OpenAlex.

  1. Review
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  6. The Role of Long Non-Coding RNAs in Cardiovascular Diseases.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Leveraging Extracellular Non-coding RNAs to Diagnose and Treat Heart Diseases.Journal of cardiovascular translational research · 2022
    Review
  9. Review
  10. Article
  11. LncRNA promoted inflammatory response in ischemic heart failure through regulation of miR-455-3p/TRAF6 axis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2020
    Article
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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.

Danhua LiDepartment of Physiology and Pathophysiology, Peking University School of Basic Medical Sciences, Beijing, China ; MOE Key Lab of Molecular Cardiovascular Science, Peking University, Beijing, China.
Geng Chen
Jichun Yang
Xiaofang Fan
Yongsheng Gong
Guoheng Xu
Qinghua Cui
Bin Geng
Peking University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the global changes in and characteristics of the transcriptome of long noncoding RNAs (LncRNAs) in heart tissue, whole blood and plasma during heart failure (HF) and association with expression of paired coding genes.

methodsHere we used microarray assay to examine the transcriptome of LncRNAs deregulated in the heart, whole blood, and plasma during HF in mice. We confirmed the changes in LncRNAs by quantitative PCR.

resultsWe revealed and confirmed a number of LncRNAs that were deregulated during HF, which suggests a potential role of LncRNAs in HF. Strikingly, the patterns of expression of LncRNA differed between plasma and other tissue during HF. LncRNA expression was associated with LncRNA length in all samples but not in plasma during HF, which suggests that the global association of LncRNA expression and LncRNA length in plasma could be biomarkers for HF. In total, 32 LncRNAs all expressed in the heart, whole blood and plasma showed changed expression with HF, so they may be biomarkers in HF. In addition, sense-overlapped LncRNAs tended to show consistent expression with their paired coding genes, whereas antisense-overlapped LncRNAs tended to show the opposite expression in plasma; so different types of LncRNAs may have different characteristics in HF. Interestingly, we revealed an inverse correlation between changes in expression of LncRNAs in plasma and in heart, so circulating levels of LncRNAs may not represent just passive leakage from the HF heart but also active regulation or release of circulatory cells or other cells during HF.

conclusionsWe reveal stable expression of LncRNAs in plasma during HF, which suggests a newly described component in plasma. The distinct expression patterns of circulatory LncRNAs during HF indicate that LncRNAs may actively respond to stress and thus serve as biomarkers of HF diagnosis and treatment.

Indexed as

Gene Expression ProfilingAnimalsBiomarkersCardiotonic AgentsHeart FailureIsoproterenolMaleMiceMice, Inbred C57BLOligonucleotide Array Sequence AnalysisReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, Long NoncodingRNA, MessengerBiomarkersCardiotonic AgentsIsoproterenolRNA, Long NoncodingRNA, Messenger

Identifiers

PMID24205036
PMCPMC3812140
OpenAlexW2090296648

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.