Evidence map›Paper›PMID 32821699›Full record

ArticleJournal of lipid and atherosclerosis2019

Analysis of Circular RNAs in the Coronary Arteries of Patients with Kawasaki Disease.

Young-Kook Kim

Open access · diamondAbstract read
In one paragraph

Article in Journal of lipid and atherosclerosis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  8. Circular RNA as a Possible Novel Biomarker for Kawasaki Disease.Journal of lipid and atherosclerosis · 2019
    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

1 author at 1 institution in 1 country.

Young-Kook KimDepartment of Biochemistry, Chonnam National University Medical School, Hwasun, Korea.ORCID https://orcid.org/0000-0001-6434-2235
Chonnam National University Hwasun Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesKawasaki disease is a disease in children that presents with diverse symptoms including acute fever, conjunctivitis, body rash, swollen lymph nodes of the neck, and peeling of the skin on the hands and feet. Although patients with Kawasaki disease are continually observed and diagnosed, there are no established molecular markers to diagnose this disease quickly and accurately. Moreover, there have been very few studies on the molecular mechanism underlying Kawasaki disease.

methodsThe expression profiles of circular RNAs (circRNAs) from coronary artery tissue of patients with Kawasaki disease were analyzed using public sequencing datasets. After selecting reliable sequencing libraries and high-quality reads, bioinformatics pipelines were applied to quantify the expression of back-splicing reads of host genes.

resultsMany circRNAs were identified to be differentially expressed between the controls and patients with Kawasaki disease. Among them, circRNAs originating from host genes including homeodomain interacting protein kinase 3 (circHIPK3), zinc finger protein 124 (circZNF124), WAS protein homolog associated with actin, Golgi membranes, and microtubules pseudogene 1 (circWHAMMP1), SLAIN motif family, member 2 (circSLAIN2), and ataxia telangiectasia mutated (circATM) were down-regulated significantly in untreated patients with Kawasaki disease. Importantly, the level of these circRNAs returned to normal in the coronary arteries of treated patients, suggesting these circRNAs are possible molecular markers for Kawasaki disease. For circWHAMMP1 and circZNF124, the microRNAs that may be regulated by these circRNAs were also identified.

conclusionsThis study will contribute to future research seeking to determine the regulatory pathways involved in the pathogenesis of Kawasaki disease.

Indexed as

Coronary arteryKawasaki diseasemicroRNAsRNA, circular

Identifiers

PMID32821699
PMCPMC7379082
OpenAlexW2945206621

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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.