Evidence map›Paper›PMID 38682035›Full record

ArticleFrontiers in neurology2024

Analysis of the expression level and predictive value of CLEC16A|miR-654-5p|RARA regulatory axis in the peripheral blood of patients with ischemic stroke based on biosignature analysis.

Jiang-Jie Hao, Yuan Liu, Jun-Hua Lu, Ying Zhao, Ying Lin, Li-Qiu Ma, Ping Xue, Bao-Yun Jin, Bei-Bei Li, Zheng Zhou and 5 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

15 authors.

Jiang-Jie HaoDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.
Yuan LiuDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.
Jun-Hua LuDepartment of Nursing, Mudanjiang Medical University, Mudanjiang, China.
Ying ZhaoHongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Ying LinHongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Li-Qiu MaHongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Ping XueHongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Bao-Yun JinDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.
Bei-Bei LiDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.
Zheng ZhouDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.
Xin-Xin HuangDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.
Ting LiuDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.
Meng-Yue LiDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.
Jin-Ying LaiDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.
Hong-Jun GuanDepartment of Public Health, Mudanjiang Medical University, Mudanjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ischemic stroke (IS) is a cerebrovascular disease that can be disabling and fatal, and there are limitations in the clinical treatment and prognosis of IS. It has been reported that changes in the expression profile of circRNAs have been found during injury in ischemic stroke, and circRNAs play an important role in the IS cascade response. However, the specific mechanisms involved in the pathogenesis of IS are not yet fully understood, and thus in-depth studies are needed. Methods: In this study, one circRNA dataset (GSE161913), one miRNA dataset (GSE60319) and one mRNA dataset (GSE180470) were retrieved from the Gene Expression Omnibus (GEO) database and included, and the datasets were differentially expressed analyzed by GEO2R and easyGEO to get the DEcircRNA, DEmiRNA and DEmRNA, and DEmRNA was enriched using ImageGP, binding sites were predicted in the ENCORI database, respectively, and the competitive endogenous RNA (ceRNA) regulatory network was visualized by the cytoscape software, and then selected by MCC scoring in the cytoHubba plugin Hub genes. In addition, this study conducted a case-control study in which blood samples were collected from stroke patients and healthy medical examiners to validate the core network of ceRNAs constructed by biosignature analysis by real-time fluorescence quantitative qRT-PCR experiments. Results: A total of 233 DEcircRNAs, 132 DEmiRNAs and 72 DEmRNAs were screened by bioinformatics analysis. circRNA-mediated ceRNA regulatory network was constructed, including 148 circRNAs, 43 miRNAs and 44 mRNAs. Finally, CLEC16A|miR-654-5p|RARA competitive endogenous regulatory axis was selected for validation by qRT-PCR, and the validation results were consistent with the bioinformatics analysis. Discussion: In conclusion, the present study establishes a new axis of regulation associated with IS, providing new insights into the pathogenesis of IS.

Indexed as

bioinformaticsbiomarkerceRNACLEC16Aischemic strokemiR-654-5pRARA

Identifiers

PMID38682035
PMCPMC11047435

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.