Evidence map›Paper›PMID 29565037›Full record

ReviewActa pharmacologica Sinica2018

Circular noncoding RNAs as potential therapies and circulating biomarkers for cardiovascular diseases.

Ahmed S Bayoumi, Tatsuya Aonuma, Jian-Peng Teoh, Yao-Liang Tang, Il-Man Kim

Open access · bronzeAbstract readReview
In one paragraph

Review in Acta pharmacologica Sinica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

61 citing papers in PubMed, 107 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. CircRNA-mediated regulation of cardiovascular disease.Frontiers in cardiovascular medicine · 2024
    Review
  11. Review
  12. Review
  13. [High expression of Circ-PALLD in heart failure is transcriptionally regulated by the transcription factor GATA4].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    Article
  14. Review
  15. Article
  16. Noncoding RNAs as Key Regulators for Cardiac Development and Cardiovascular Diseases.Journal of cardiovascular development and disease · 2023
    Review
  17. Research Progress of Exosomal Non-Coding RNAs in Cardiac Remodeling.International journal of medical sciences · 2023
    Review
  18. Diabetic Retinopathy and Cardiovascular Disease: A Literature Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Review
  19. Review
  20. Article

1 more citing papers are in PubMed but not listed here.

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.

Ahmed S BayoumiVascular Biology Center, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
Tatsuya AonumaVascular Biology Center, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
Jian-Peng TeohVascular Biology Center, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
Yao-Liang TangVascular Biology Center, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
Il-Man KimVascular Biology Center, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. ILKIM@augusta.edu.
Augusta University · US

Funding

Innovative Approaches to Treat Duchenne Muscular Dystrophy Using iPSC-Derived Muscle ProgenitorsR01AR070029 · NIAMS · AUGUSTA UNIVERSITY · PI ASHRAF, MUHAMMAD, TANG, YAO LIANG · 2016 to 2021
$2.6M
Notch1/miR-322 Axis in Stem Cell Mediated Vascular RepairR01HL134354 · NHLBI · AUGUSTA UNIVERSITY · PI ASHRAF, MUHAMMAD, TANG, YAO LIANG · 2016 to 2020
$2.5M
Beta-arrestin signaling and microRNA biogenesis in cardioprotectionR01HL124251 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI KIM, IL-MAN · 2014 to 2018
$1.9M
American Heart Association-American Stroke Association 18TPA34170104NHLBI NIH HHS R01 HL124251NHLBI NIH HHS R01 HL134354NIAMS NIH HHS R01 AR070029
6 · The paper itself

Abstract

Recent advancements in genome-wide analyses and RNA-sequencing technologies led to the discovery of small noncoding RNAs, such as microRNAs (miRs), as well as both linear long noncoding RNAs (lncRNAs) and circular long noncoding RNAs (circRNAs). The importance of miRs and lncRNAs in the treatment, prognosis and diagnosis of cardiovascular diseases (CVDs) has been extensively reported. We also previously reviewed their implications in therapies and as biomarkers for CVDs. More recently, circRNAs have also emerged as important regulators in CVDs. CircRNAs are circular genome products that are generated by back splicing of specific regions of pre-messenger RNAs (pre-mRNAs). Growing interest in circRNAs led to the discovery of a wide array of their pathophysiological functions. CircRNAs have been shown to be key regulators of CVDs such as myocardial infarction, atherosclerosis, cardiomyopathy and cardiac fibrosis. Accordingly, circRNAs have been recently proposed as potential therapeutic targets and biomarkers for CVDs. In this review, we summarize the current state of the literature on circRNAs, starting with their biogenesis and global mechanisms of actions. We then provide a synopsis of their involvement in various CVDs. Lastly, we emphasize the great potential of circRNAs as biomarkers for the early detection of CVDs, and discuss several patents and recent papers that highlight the utilization of circRNAs as promising biomarkers.

Indexed as

AnimalsBiomarkersCardiovascular DiseasesHumansRNA, Long NoncodingBiomarkersRNA, Long Noncodingatherosclerosisbiomarkerscardiac fibrosiscardiomyopathycircular RNAsheart failuremyocardial infarctionnoncodingRNAs

Identifiers

PMID29565037
PMCPMC6289320
OpenAlexW2792425672

What OpenQuestion holds

Textmetadata
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.