Evidence map›Paper›PMID 32733962›Full record

ArticleBioMed research international2020

The Platelet microRNA Profile of Kawasaki Disease: Identification of Novel Diagnostic Biomarkers.

Qianqian Ning, Liqin Chen, Sirui Song, Hong Zhang, Kangping Xu, Jia Liu, Yiwen Zhou, Chenyang Zang, Guang Li, Feng Chen and 3 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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 3 institutions in 1 country.

Qianqian NingDepartment of Cardiology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China.ORCID https://orcid.org/0000-0002-5207-025X
Liqin ChenDepartment of Cardiology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China.
Sirui SongDepartment of Cardiology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China.
Hong ZhangDepartment of Clinical Laboratory, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China.
Kangping XuShanghai Qianbei Clinical Laboratory Co., Ltd., Shanghai 201612, China.
Jia LiuShanghai Qianbei Clinical Laboratory Co., Ltd., Shanghai 201612, China.
Yiwen ZhouShanghai Qianbei Clinical Laboratory Co., Ltd., Shanghai 201612, China.
Chenyang ZangShanghai Qianbei Clinical Laboratory Co., Ltd., Shanghai 201612, China.
Guang LiShanghai Qianbei Clinical Laboratory Co., Ltd., Shanghai 201612, China.
Feng ChenShanghai Qianbei Clinical Laboratory Co., Ltd., Shanghai 201612, China.
Jia JiaShanghai Qianbei Clinical Laboratory Co., Ltd., Shanghai 201612, China.
Guohui DingShanghai Qianbei Clinical Laboratory Co., Ltd., Shanghai 201612, China.ORCID https://orcid.org/0000-0002-2888-1335
Min HuangDepartment of Cardiology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China.ORCID https://orcid.org/0000-0001-9019-0044
Shanghai Clinical Research Center · CNShanghai Jiao Tong University · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Challenging diagnosis and unknown etiology of Kawasaki disease (KD) increase the coronary artery lesions incidence. microRNAs (miRNAs) are the most promising biomarkers because of their stability in peripheral blood and noninvasive measurement procedure, whose potential utility have been proved in cancers. To explore the utility of differentially expressed (DE) miRNAs as early diagnostic markers, 44 patients (25 incomplete KD and 19 complete KD) and 31 febrile controls were recruited for small RNA sequencing. From all the 1922 expressed miRNA, 210 DE miRNAs were found between KD and febrile control groups. Though platelet miRNA profiles of complete KD incomplete KD were much similar through cluster analysis, the DE miRNAs were not identical. Eight DE miRNAs were validated by real-time quantitative PCR (qRT-PCR) in complete or incomplete KD groups using a normalizer, miR-126-3p, which was identified by geNorm and NormFinder tools. The expression level of miRNAs continuous changed over time was observed and the function analysis showed the potential role of miRNAs as therapeutic biomarkers. Additionally, the prediction model for KD showed a sensitivity of 78.8% and a specificity of 71.4%, respectively. This study used small RNA sequencing to identify miRNA biomarkers KD diagnosis based on a large sample size. Our findings shine a light on the understanding of molecular pathogenesis of KD and may improve the accuracy of KD diagnosis and prognosis in clinical.

Indexed as

BiomarkersBlood PlateletsChild, PreschoolFemaleGene Expression ProfilingGene Expression RegulationHumansMaleMicroRNAsModels, BiologicalMucocutaneous Lymph Node SyndromeReal-Time Polymerase Chain ReactionRisk FactorsBiomarkersMicroRNAs

Identifiers

PMID32733962
PMCPMC7383328
OpenAlexW3043103808

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.