Evidence map›Paper›PMID 30178428›Full record

ArticleTranslational stroke research2019

Using Extracellular Circulating microRNAs to Classify the Etiological Subtypes of Ischemic Stroke.

YaXing Gui, ZhongPing Xu, Tao Jin, LiSan Zhang, LiLi Chen, Bin Hong, Fei Xie, Wen Lv, XingYue Hu

Abstract read
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In one paragraph

Article in Translational stroke research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 6 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

23 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  17. miR-1908 Dysregulation in Human Cancers.Frontiers in oncology · 2022
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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

9 authors.

YaXing GuiDepartment of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, #3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China. guiyaxing@zju.edu.cn.
ZhongPing XuWashington University School of Medicine, St. Louis, MO, USA.
Tao JinDepartment of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, #3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.
LiSan ZhangDepartment of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, #3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.
LiLi ChenDepartment of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, #3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.
Bin HongDepartment of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, #3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.
Fei XieDepartment of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, #3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.
Wen LvDepartment of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, #3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.
XingYue HuDepartment of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, #3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no effective biological method to classify ischemic stroke subtypes. In this study, we first performed a systematical gene array study on serum microRNAs with different ischemic stroke subtypes including 13 normal control subjects (NCs) and 87 ischemic stroke (IS) patients including 23 cardioembolism (CARD), 26 large artery atherosclerosis (LAA), 27 lacunar infarct (LAC), and 11 stroke of undetermined etiology (SUE). Validation was performed by using an independent cohort of 20 NCs and 85 IS patients including 28 CARD, 23 LAA, 18 LAC, and 16 SUE. In the pilot discovery gene array study, we found specific serum microRNA signatures between different ischemic stroke subtypes (CARD, LAA, LAC, and SUE). We further validated 6 microRNAs [miR-125b, miR-125a, let-7b, let-7e, miR-7-2-3p, miR-1908] in a different group of ischemic stroke subtypes by using an independent cohort of 20 NCs, 28 CARD, 23 LAA, 18 LAC, and 16 SUE. Moreover, these circulating miRNAs were further detected to be differentially expressed between pre- vs. post-stroke in different ischemic stroke subtypes. The ROC analysis showed that miR-125b, miR-125a, let-7b, and let-7e could discriminate CARD patients from normal controls and other subtypes. Furthermore, ROC curves shown that miR-7-2-3p and miR-1908 showed significant area-under-the-curve values in both LAA and LAC patients. In conclusion, these results demonstrated that circulating miRNAs in sera could be potentially novel risk factors that involve in the pathogenesis of ischemic stroke subtypes.

Indexed as

AgedBrain IschemiaCirculating MicroRNACohort StudiesFemaleHumansMaleMiddle AgedStrokeCirculating MicroRNAIschemic strokeMicroRNASubtype

Identifiers

PMID30178428

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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.