Evidence map›Paper›PMID 27907007›Full record

ArticlePloS one2016

Exploring Regulatory Mechanisms of Atrial Myocyte Hypertrophy of Mitral Regurgitation through Gene Expression Profiling Analysis: Role of NFAT in Cardiac Hypertrophy.

Tzu-Hao Chang, Mien-Cheng Chen, Jen-Ping Chang, Hsien-Da Huang, Wan-Chun Ho, Yu-Sheng Lin, Kuo-Li Pan, Yao-Kuang Huang, Wen-Hao Liu, Chia-Chen Wu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. TFAM overexpression reduces pathological cardiac remodeling.Molecular and cellular biochemistry · 2019
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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 5 institutions in 1 country.

Tzu-Hao ChangGraduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.
Mien-Cheng ChenDivision of Cardiology and Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Jen-Ping ChangDivision of Cardiovascular Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Hsien-Da HuangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Wan-Chun HoDivision of Cardiology and Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Yu-Sheng LinDivision of Cardiology, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Kuo-Li PanDivision of Cardiology, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Yao-Kuang HuangDepartment of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Wen-Hao LiuDivision of Cardiology and Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Chia-Chen WuDivision of Cardiovascular Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Chang Gung University · TWChiayi Chang Gung Memorial Hospital · TWKaohsiung Chang Gung Memorial Hospital · TWNational Yang Ming Chiao Tung University · TWTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeft atrial enlargement in mitral regurgitation (MR) predicts a poor prognosis. The regulatory mechanisms of atrial myocyte hypertrophy of MR patients remain unknown. METHODS AND

resultsThis study comprised 14 patients with MR, 7 patients with aortic valve disease (AVD), and 6 purchased samples from normal subjects (NC). We used microarrays, enrichment analysis and quantitative RT-PCR to study the gene expression profiles in the left atria. Microarray results showed that 112 genes were differentially up-regulated and 132 genes were differentially down-regulated in the left atria between MR patients and NC. Enrichment analysis of differentially expressed genes demonstrated that "NFAT in cardiac hypertrophy" pathway was not only one of the significant associated canonical pathways, but also the only one predicted with a non-zero score of 1.34 (i.e. activated) through Ingenuity Pathway Analysis molecule activity predictor. Ingenuity Pathway Analysis Global Molecular Network analysis exhibited that the highest score network also showed high association with cardiac related pathways and functions. Therefore, 5 NFAT associated genes (PPP3R1, PPP3CB, CAMK1, MEF2C, PLCE1) were studies for validation. The mRNA expressions of PPP3CB and MEF2C were significantly up-regulated, and CAMK1 and PPP3R1 were significantly down-regulated in MR patients compared to NC. Moreover, MR patients had significantly increased mRNA levels of PPP3CB, MEF2C and PLCE1 compared to AVD patients. The atrial myocyte size of MR patients significantly exceeded that of the AVD patients and NC.

conclusionsDifferentially expressed genes in the "NFAT in cardiac hypertrophy" pathway may play a critical role in the atrial myocyte hypertrophy of MR patients.

Indexed as

AgedAortic ValveBicuspid Aortic Valve DiseaseCalcineurinCalcium-Calmodulin-Dependent Protein Kinase Type 1CardiomegalyFemaleGene Expression ProfilingGene Expression RegulationHeart AtriaHeart Defects, CongenitalHeart Valve DiseasesHumansMaleMEF2 Transcription FactorsMicroarray AnalysisCalcineurinCalcium-Calmodulin-Dependent Protein Kinase Type 1CAMK1 protein, humanMEF2C protein, humanMEF2 Transcription FactorsPhosphoinositide Phospholipase Cphospholipase C epsilonPPP3CB protein, humanPPP3R1 protein, humanRNA, Messenger

Identifiers

PMID27907007
PMCPMC5131988
OpenAlexW2558013966

What OpenQuestion holds

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LicenceCC BY
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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.