Evidence map›Paper›PMID 31429492›Full record

ArticleJournal of clinical laboratory analysis2019

Circulating plasma circular RNAs as novel diagnostic biomarkers for congenital heart disease in children.

Jinhuan Wu, Jiaqing Li, Heng Liu, Jiangwen Yin, Mengjie Zhang, Zhangbin Yu, Hongjun Miao

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Circular RNAs as Novel Biomarkers and Application in Cardiovascular Diseases.Advances in experimental medicine and biology · 2025
    Review
  5. Posttranscriptional Regulation by Proteins and Noncoding RNAs.Advances in experimental medicine and biology · 2024
    Article
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  20. Non-Coding RNAs as Blood-Based Biomarkers in Cardiovascular Disease.International journal of molecular sciences · 2020
    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

7 authors at 2 institutions in 1 country.

Jinhuan WuDepartment of Emergency Medicine, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-5688-4373
Jiaqing LiDepartment of Anesthesiology, Children's Hospital of Nanjing Medical University, Nanjing, China.
Heng LiuDepartment of Pediatrics, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Jiangwen YinDepartment of Emergency Medicine, Children's Hospital of Nanjing Medical University, Nanjing, China.
Mengjie ZhangDepartment of Emergency Medicine, Children's Hospital of Nanjing Medical University, Nanjing, China.
Zhangbin YuDepartment of Pediatrics, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Hongjun MiaoDepartment of Emergency Medicine, Children's Hospital of Nanjing Medical University, Nanjing, China.
Second Affiliated Hospital of Nanjing Medical University · CNNanjing Medical University · CN

Funding

Nanjing Medical Science and Technique Development Foundation 201605052Nanjing Medical Science and Technique Development Foundation YKK14123National Natural Science Foundation of China 81470376National Natural Science Foundation of Jiangsu Province BK20141077
6 · The paper itself

Abstract

objectiveThe diagnostic value of circulating circular RNAs (circRNAs) has received more and more attention. However, little has been reported about their potential in the diagnosis of congenital heart diseases (CHD). In this study, we explored differential expression of circRNAs from children with CHD to evaluate their potential as clinical biomarkers.

methodsWe established a discovery cohort (four CHD cases; four matched healthy controls) and a validation cohort (40 CHD cases; 40 matched healthy controls). Microarray expression analysis was performed on the discovery set to identify candidate circRNAs. Candidates were further validated in the validation set. The diagnostic accuracy of circRNAs was determined by receiver operating characteristic (ROC) analysis. Gene ontology (GO), pathway, and network analysis were performed to predict a network of circRNA/miRNA and target mRNAs related to CHD.

resultsThe top seven significantly differentially expressed CHD-associated circRNAs were validated by RT-PCR as follows: hsa_circRNA_004183, hsa_circRNA_079265, hsa_circRNA_105039, hsa_circRNA_404686, hsa_circRNA_101050, hsa_circRNA_100787, and hsa_circRNA_101328. Three significantly down-regulated circRNAs (hsa_circRNA_004183, hsa_circRNA_079265, and hsa_circRNA_105039) were identified with area under curve (AUC) values of 0.758, 0.809, and 0.907, respectively; the combination had an AUC of 0.965. An interaction network was constructed by 43 circRNAs, 9 miRNAs, and 29 mRNAs, which involved in heart development.

conclusionsWe identified three circRNAs under-expressed in plasma from children with CHD. These circRNAs may be crucial in the development of CHD and may serve as novel non-invasive biomarkers for the diagnosis of CHD in children.

Indexed as

AdultArea Under CurveBiomarkersCase-Control StudiesChildGene Expression RegulationGene OntologyGene Regulatory NetworksHeart Defects, CongenitalHumansMicroRNAsReproducibility of ResultsRNA, CircularRNA, MessengerROC CurveSensitivity and SpecificityBiomarkersMicroRNAsRNA, CircularRNA, Messengerbiomarkerscircular RNAscongenital heart diseasesdiagnosis

Identifiers

PMID31429492
PMCPMC6868410
OpenAlexW2969464060

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.