Evidence map›Paper›PMID 32010263›Full record

ArticleExperimental and therapeutic medicine2020

Differential expression profile study and gene function analysis of maternal foetal-derived circRNA for screening for Down's syndrome.

Weiguo Sui, Qing Gan, Yan Chang, Minglin Ou, Jiejing Chen, Hua Lin, Wen Xue, Yan Wu, Huiyan He, Donge Tang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 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
0.3field-weighted citation impact, top 43% 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, 9 citations in OpenAlex.

  1. Non-coding rnas in Turner syndrome: a systematic review.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2024
    Pooled it
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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

11 authors at 1 institution in 1 country.

Weiguo SuiGuangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.
Qing GanGuangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.
Yan ChangReproductive Center, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.
Minglin OuGuangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.
Jiejing ChenGuangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.
Hua LinGuangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.
Wen XueGuangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.
Yan WuClinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Huiyan HeClinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Donge TangClinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Yong DaiGuangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.
Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have shown that circular RNAs (circRNAs) exhibit differential expression in certain diseases. However, to the best of our knowledge, maternal fetal-derived circRNAs and mRNAs associated with Down's syndrome (DS) have not yet been investigated. A total of 12 umbilical cord blood samples were collected from pregnant women, including six women carrying fetuses with DS (diagnosed by G-banding karyotype analysis), and six women carrying fetuses without DS. In addition, 12 peripheral blood samples were obtained from children, including six children with DS and six children without DS. Gene chip technology was used to screen for differentially expressed circRNAs and mRNAs in the cord blood samples, and were subsequently verified by reverse transcription-quantitative polymerase chain reaction in peripheral blood from the children to identify potential biomarkers. Furthermore, circRNA/microRNA (miRNA) interactions were predicted using Arraystar miRNA target prediction software. There was a significant difference in the expression of hsa_circRNA_103127, hsa_circRNA_103112 and hsa_circRNA_104907 between cord blood obtained from the women carrying fetuses with and without DS, and between peripheral blood obtained from children with and without DS (P<0.01). As hsa_circRNA_103112 exhibited significant differences in expression between cord blood obtained from the women carrying fetuses with and without DS and between peripheral blood obtained from children with and without DS, its corresponding gene, ubiquitin specific peptidase 25, may be involved in the pathogenesis of the condition. These results suggested that hsa_circRNA_103112 may be upregulated in individuals with DS, resulting in an expression imbalance of diploid genes through interactions among circRNA, miRNA and mRNA. Therefore, the level of hsa_circRNA_103112 in the peripheral blood of a pregnant woman may serve as potential biomarker of fetal DS during non-invasive prenatal screening.

Indexed as

circular RNAdifferential expressionDown's syndromefetalgene functionmaternal

Identifiers

PMID32010263
PMCPMC6966235
OpenAlexW2992650927

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.