Evidence map›Paper›PMID 39325100›Full record

ArticleMolecular neurobiology2025

Combined Analysis of Human and Experimental Rat Samples Identified Biomarkers for Ischemic Stroke.

Qingfa Chen, Xiaolu Li, Ye Yang, Jun Ni, Jianmin Chen

Abstract read
In one paragraph

Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Qingfa Chen *Department of Rehabilitation, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, China.
Xiaolu Li *Department of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530022, Guangxi, China.
Ye YangDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530022, Guangxi, China.
Jun NiDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350004, Fujian, China. nijun1000@126.com.ORCID http://orcid.org/0000-0003-0007-4416
Jianmin ChenDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350004, Fujian, China. cjm625@163.com.ORCID http://orcid.org/0000-0002-0528-5354

Funding

Joint Funds for the Innovation of Science and Technology, Fujian Province 2020Y9110Joint Funds for the Innovation of Science and Technology, Fujian Province 2023Y9133National Natural Science Foundation of China 82172531
6 · The paper itself

Abstract

The genetic transcription profile and underlying molecular mechanisms of ischemic stroke (IS) remain elusive. To address this issue, four mRNA and one miRNA expression profile of rats with middle cerebral artery occlusion (MCAO) were acquired from the Gene Expression Omnibus (GEO) database. A total of 780 differentially expressed genes (DEGs) and 56 miRNAs (DEMs) were screened. Gene set and functional enrichment analysis revealed that a substantial number of immune-inflammation-related pathways were abnormally activated in IS. Through weighted gene co-expression network analysis, the turquoise module was identified as meaningful. By taking the intersection of the turquoise module genes, DEM-target genes, and all DEGs, 354 genes were subsequently obtained as key IS-related genes. Among them, six characteristic genes were identified using the least absolute shrinkage and selection operator. After validation with three external datasets, transforming growth factor beta 1 (Tgfb1) was selected as the hub gene. This finding was further confirmed by gene expression pattern analysis in both the MCAO model rats and clinical IS patients. Moreover, the expression of the hub genes exhibited a negative correlation with the modified Rankin scale score (P < 0.05). Collectively, these results expand our knowledge of the genetic profile and molecular mechanisms involved in IS and suggest that the Tgfb1 gene is a potential biomarker of this disease.

Indexed as

BiomarkersBrain IschemiaIschemic StrokeAnimalsGene Expression ProfilingGene Regulatory NetworksHumansInfarction, Middle Cerebral ArteryMaleMicroRNAsRatsRats, Sprague-DawleyRNA, MessengerTransforming Growth Factor beta1BiomarkersMicroRNAsRNA, MessengerTransforming Growth Factor beta1Gene set enrichment analysisMachine learningStrokeWeighted gene co-expression network analysis

Identifiers

PMID39325100
PMCPMC11790756

What OpenQuestion holds

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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.