Evidence map›Paper›PMID 28329018›Full record

ArticlePloS one2017

A unique microRNA profile in end-stage heart failure indicates alterations in specific cardiovascular signaling networks.

Sathyamangla V Naga Prasad, Manveen K Gupta, Zhong-Hui Duan, Venkata Suresh K Surampudi, Chang-Gong Liu, Ashwin Kotwal, Christine S Moravec, Randall C Starling, Dianne M Perez, Subha Sen and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 25% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. MicroRNA Profiling as a Methodology to Diagnose Ménière's Disease: Potential Application of Machine Learning.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2021
    Article
  10. Article
  11. Aging, MicroRNAs, and Heart Failure.Current problems in cardiology · 2020
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. The diagnostic value of circulating microRNAs in heart failure.Experimental and therapeutic medicine · 2019
    Review
  17. Article
  18. Article
  19. 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

13 authors at 4 institutions in 1 country.

Sathyamangla V Naga PrasadDepartment of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Manveen K GuptaDepartment of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Zhong-Hui DuanDepartment of Computer Sciences, University of Akron, Akron, Ohio, United States of America.
Venkata Suresh K SurampudiDepartment of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Chang-Gong LiuDepartment of Molecular Virology, Immunology and Medical Genetics and Comprehensive Cancer Center, Ohio State University, Columbus, Ohio, United States of America.
Ashwin KotwalDepartment of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Christine S MoravecDepartment of Cardiovascular Medicine, Heart and Vascular Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Randall C StarlingDepartment of Cardiovascular Medicine, Heart and Vascular Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Dianne M PerezDepartment of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Subha SenDepartment of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Qingyu WuDepartment of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Edward F PlowDepartment of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Sadashiva KarnikDepartment of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Cleveland Clinic Lerner College of Medicine · USCleveland Clinic · USThe Ohio State University · USUniversity of Akron · US

Funding

Phosphoproteome and Ang II-induced VSMC Gene ExpressionR01HL083243 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI KARNIK, SADASHIVA S · 2006 to 2010
$1.6M
Regulation of AT1R-signaling and pathology in vessels through microRNAR01HL115964 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI KARNIK, SADASHIVA S · 2012 to 2015
$1.5M
NHLBI NIH HHS R01 HL083243NHLBI NIH HHS R01 HL115964
6 · The paper itself

Abstract

It is well established that the gene expression patterns are substantially altered in cardiac hypertrophy and heart failure, however, less is known about the reasons behind such global differences. MicroRNAs (miRNAs) are short non-coding RNAs that can target multiple molecules to regulate wide array of proteins in diverse pathways. The goal of the study was to profile alterations in miRNA expression using end-stage human heart failure samples with an aim to build signaling network pathways using predicted targets for the altered miRNA and to determine nodal molecules regulating individual networks. Profiling of miRNAs using custom designed microarray and validation with an independent set of samples identified eight miRNAs that are altered in human heart failure including one novel miRNA yet to be implicated in cardiac pathology. To gain an unbiased perspective on global regulation by top eight altered miRNAs, functional relationship of predicted targets for these eight miRNAs were examined by network analysis. Ingenuity Pathways Analysis network algorithm was used to build global signaling networks based on the targets of altered miRNAs which allowed us to identify participating networks and nodal molecules that could contribute to cardiac pathophysiology. Majority of the nodal molecules identified in our analysis are targets of altered miRNAs and known regulators of cardiovascular signaling. Cardio-genomics heart failure gene expression public data base was used to analyze trends in expression pattern for target nodal molecules and indeed changes in expression of nodal molecules inversely correlated to miRNA alterations. We have used NF kappa B network as an example to show that targeting other molecules in the network could alter the nodal NF kappa B despite not being a miRNA target suggesting an integrated network response. Thus, using network analysis we show that altering key functional target proteins may regulate expression of the myriad signaling pathways underlying the cardiac pathology.

Indexed as

AlgorithmsAnimalsCardiovascular SystemCells, CulturedFemaleGene ExpressionGene Expression ProfilingGene Regulatory NetworksGenomicsHeart FailureHumansMaleMiceMicroRNAsMiddle AgedSignal TransductionMicroRNAs

Identifiers

PMID28329018
PMCPMC5362047
OpenAlexW2602425615

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.