ArticleEuropean journal of medical research2025
Identification of coagulation-related hub genes in ischemic stroke based on bioinformatics integration analysis and investigation of their immune regulatory mechanisms.
Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundIschemic stroke (IS) is a cerebrovascular disease resulting from insufficient blood supply to specific areas of the brain, often due to atherosclerosis and thrombosis. While the association between polymorphisms in coagulation-related genes (CRGs) and thrombosis has been suggested, the precise relationship between CRGs and IS remains unclear and requires further exploration.
methodsThis study utilized IS-related datasets (GSE16561, GSE9877, GSE58294, GSE224273) and CRGs to identify differentially expressed genes (IS-DEGs) through differential expression analysis. Differentially expressed coagulation-related genes (DE-CRGs) were determined by overlapping CRGs and IS-DEGs. Machine learning models, including random forest, gradient boosting decision trees, and support vector machines, were applied to screen for potential hub genes. These candidate hub genes were then validated using an independent dataset (GSE9877) and confirmed by real-time quantitative PCR (RT-qPCR) in clinical samples from IS patients. Single-cell RNA-seq of GSE224273 was processed via Seurat to map hub-gene expression across endothelial, smooth-muscle, macrophage, monocyte, T, NK, and B-cell clusters.
resultsA total of 18 DE-CRGs were acquired by overlapping 450 IS-DEGs and 203 CRGs. Furthermore, 517 cluster-differentially expressed genes (DEGs) and 1,021 coagulation-score-RGs were obtained based on 18 DE-CRGs. The 29 candidate genes were obtained by overlapping IS-DEGs, cluster-DEGs and coagulation-score-related genes (RGs), five hub genes (REPS2, LIME1, MYH9, C5AR1, ECHDC2) were successfully screened. Subsequently, in GSE9877 dataset, only REPS2, MYH9, C5AR1 had the same expression tendency with that in GSE16561 dataset, while our RT-qPCR results suggested that the expression trend of LIME1, MYH9, C5AR1, ECHDC2 were consistent with that in GSE16561 dataset besides REPS2. Single-cell analysis localized MYH9 predominantly to smooth-muscle and endothelial cells, whereas C5AR1 was enriched in macrophages and monocytes, with both genes significantly upregulated in IS-derived cells. Two hub genes, C5AR1 and MYH9, were eventually selected from this group. Further analyses showed that these genes are significantly enriched in pathways related to complement and coagulation cascades and platelet activation.
conclusionThe two hub genes, C5AR1 and MYH9, may contribute to the development of IS by promoting thrombosis. These findings offer new insights into the molecular mechanisms of IS and suggest potential biomarkers and therapeutic targets for IS management.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.