Evidence map›Paper›PMID 33100957›Full record

ArticleFrontiers in neuroscience2020

A Panel of Exosome-Derived miRNAs of Cerebrospinal Fluid for the Diagnosis of Moyamoya Disease.

Gang Wang, Yunyu Wen, Oluwasijibomi Damola Faleti, Qingshun Zhao, Jingping Liu, Guozhong Zhang, Mingzhou Li, Songtao Qi, Wenfeng Feng, Xiaoming Lyu

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Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. miR-574-5p in epigenetic regulation and Toll-like receptor signaling.Cell communication and signaling : CCS · 2024
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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

10 authors.

Gang WangDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yunyu WenDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Oluwasijibomi Damola FaletiDepartment of Laboratory Medicine, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Qingshun ZhaoDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jingping LiuDepartment of Laboratory Medicine, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Guozhong ZhangDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Mingzhou LiDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Songtao QiDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Wenfeng FengDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaoming LyuDepartment of Laboratory Medicine, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMoyamoya disease (MMD) is an important cause of stroke in children and young adults in Asia. To date, diagnosis remains challenging due to varying clinical manifestations and unknown pathogenesis. The study aims to identify cerebrospinal fluid (CSF) exosomal microRNAs (exomiRs) that can serve as a novel diagnostic biomarker for diagnosis and assess its clinical applications.

methodsCSF samples were taken from 31 MMD patients and 31 healthy controls. Initial screening of miRNA expression was performed on samples pooled from MMD patients and controls using microarray and validated using quantitative reverse transcription polymerase chain reaction (qRT-PCR). The diagnostic accuracy of the potential exosomal miRNAs was evaluated using receiver operating characteristic curve analyses in an independent patient cohort. The potential pathways regulated by the miRNAs was also determined using bioinformatics analysis.

resultsThe microarray results demonstrated that six exomiRs were dysregulated in the MMD patients compared to the controls. Using qRT-PCR, we validated four of the miRNAs (miR-3679-5p, miR-6165, miR-6760-5p, and miR-574-5p) as a biomarker for MMD diagnosis. The four exomiRs showed enhanced sensitivity (75%) and specificity (93.75%) in terms of differentiating MMD patients from healthy subjects [area under the curve (AUC) = 0.9453]. Pathway enrichment analysis for potential targets of six exomiRs identified proteins involved in cell adhesion and junction formation in the brain.

conclusionsWe identified a novel and highly sensitive exomiRs signature for MMD detection and explored its potential targets using bioinformatics analysis.

Indexed as

biomarkercerebrospinal fluiddiagnosisexosomal miRNAsmoyamoya disease

Identifiers

PMID33100957
PMCPMC7546773

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