Evidence map›Paper›PMID 40630915›Full record

ArticleFrontiers in neurology2025

Transcriptomic profiling and bioinformatic insights into myocardial injury following aneurysmal subarachnoid hemorrhage.

Zuoli Wu, Wenbo He, Weihao Ye, Shang Xu, Shengwei Wei, Baozi Huang, Pingping Li, Yanyan Tang, Chao Qin, Ying Liu and 1 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Zuoli Wu *Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Wenbo He *Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Weihao YeDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shang XuDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shengwei WeiDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Baozi HuangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Pingping LiDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yanyan TangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Chao QinDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ying LiuDepartment of Rehabilitation Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ziming YeDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myocardial injury is a common complication of aneurysmal subarachnoid hemorrhage (aSAH) and is associated with poor outcomes. While RNA plays a critical role in pathophysiological processes, its expression patterns and functions in myocardial injury after aSAH (aSAH-MI) remain poorly understood. Objective: To construct the RNA expression profile of aSAH-MI patients, explore their biological functions, and establish a gene expression regulatory network for aSAH-MI. These findings provide a theoretical basis for understanding the RNA-level mechanisms underlying aSAH-MI. Methods: This study included 12 patients, comprising 6 aSAH-MI patients and 6 aSAH-nonMI patients (aSAH patients without myocardial injury). RNA sequencing was performed on three patients from each group to construct an RNA expression matrix. Differentially expressed genes (lncRNAs, miRNAs, mRNAs) were identified using the limma package in R. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. miRNA, lncRNA, and mRNA interactions were predicted using miRanda and RNAhybrid. An lncRNA-miRNA-mRNA interaction network was constructed with Cytoscape, and qRT-PCR validated selected genes in an additional six patients. Results: In aSAH-MI patients, 617 lncRNAs, 20 miRNAs, and 510 mRNAs were significantly differentially expressed, with 258, 13, and 244 being upregulated, and 359, 7, and 266 being downregulated, respectively ( Conclusions: This study successfully constructed the RNA expression profiles in the blood of patients with aSAH-MI through transcriptome sequencing, identifying significant differentially expressed miRNAs, mRNAs, and lncRNAs. Bioinformatic analysis suggests these genes may play critical roles in the pathogenesis of aSAH-MI.

Indexed as

aSAH-MIceRNAlncRNAmiRNAmRNA

Identifiers

PMID40630915
PMCPMC12235911

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