Evidence map›Paper›PMID 28859128›Full record

ArticlePloS one2017

Plasma microvesicle analysis identifies microRNA 129-5p as a biomarker of heart failure in univentricular heart disease.

Sweta Ramachandran, Alexander Lowenthal, Carissa Ritner, Shiri Lowenthal, Harold S Bernstein

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 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Exploration of Potential Genetic Biomarkers for Heart Failure: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Role of Stem Cell-Derived Microvesicles in Cardiovascular Disease.Journal of cardiovascular pharmacology · 2020
    Review
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  13. Review
  14. Review
  15. miR-129-5p improves cardiac function in rats with chronic heart failure through targeting HMGB1.Mammalian genome : official journal of the International Mammalian Genome Society · 2019
    Article
  16. Article
  17. Review
  18. Review
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

5 authors at 1 institution in 1 country.

Sweta RamachandranDepartment of Pediatrics and Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, United States of America.
Alexander LowenthalDepartment of Pediatrics and Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, United States of America.
Carissa RitnerDepartment of Pediatrics and Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, United States of America.
Shiri LowenthalDepartment of Pediatrics and Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, United States of America.
Harold S BernsteinDepartment of Pediatrics and Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, United States of America.ORCID http://orcid.org/0000-0002-0739-2508
University of California, San Francisco · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
NCRR NIH HHS UL1 RR024131
6 · The paper itself

Abstract

Biomarkers of heart failure in adults have been extensively studied. However, biomarkers to monitor the progression of heart failure in children with univentricular physiology are less well understood. We proposed that as mediators of diverse pathophysiology, miRNAs contained within circulating microvesicles could serve as biomarkers for the presence and progression of heart failure in univentricular patients. To test this, we studied the association of heart failure with elevations in specific miRNAs isolated from circulating microvesicles in a cohort of children with univentricular heart disease and heart failure. We conducted a single site cross-sectional observational study of 71 children aged 1 month-7 years with univentricular heart disease and heart failure. We demonstrated that levels of miR129-5p isolated from plasma microvesicles were inversely related to the degree of clinical heart failure as assessed by Ross score. We then showed that miR129-5p levels are downregulated in HL1 cells and human embryonic stem cell-derived cardiomyocytes exposed to oxidative stress. We demonstrated that bone morphogenetic protein receptor 2, which has been implicated in the development of pulmonary vascular disease, is a target of miR129-5p, and conversely regulated in response to oxidative stress in cell culture. Levels of miR129-5p were inversely related to the degree of clinical heart failure in patients with univentricular heart disease. This study demonstrates that miR129-5p is a sensitive and specific biomarker for heart failure in univentricular heart disease independent of ventricular morphology or stage of palliation. Further study is warranted to understand the targets affected by miR129-5p with the development of heart failure in patients with univentricular physiology.

Indexed as

BiomarkersCell-Derived MicroparticlesChildChild, PreschoolCross-Sectional StudiesDisease ProgressionFemaleHeart FailureHeart VentriclesHumansInfantInfant, NewbornMaleMicroRNAsBiomarkersMicroRNAsMirn129 microRNA, human

Identifiers

PMID28859128
PMCPMC5578659
OpenAlexW2751368365

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.