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Identification of vasospasm biomarkers for cerebral hemorrhage via bio-informatics analysis.
Wu, Li-Ya; Liang, Yu-Bing; Li, Sheng-Yu; Xie, Guan-Feng; Mei, Yu-Jia; Qin, Chao.
Afiliación
  • Wu LY; Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Liang YB; Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Li SY; Department of Neurology, Wuming Hospital, Guangxi Medical University, Nanning, China.
  • Xie GF; Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Mei YJ; Department of Neurology, the Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Qin C; Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ann Palliat Med ; 11(1): 173-184, 2022 Jan.
Article en En | MEDLINE | ID: mdl-35144409
ABSTRACT

BACKGROUND:

The incidence of cerebral hemorrhage has rapidly increased over time, and vascular dysfunction has a significant influence on the pathogenesis and outcome of these patients. This is also the case for vasospasm in cerebral hemorrhage, but there is no method to assess this. We conducted this study to find molecular biomarkers of vasospasm in cerebral hemorrhage patients.

METHODS:

Raw data of GSE37924 was downloaded from the Gene Expression Omnibus (GEO) database, including 66 samples with cerebral vasospasm and 62 samples without cerebral vasospasm. Differentially expressed genes (DEGs) between samples with cerebral vasospasm and those without cerebral vasospasm were analyzed using the limma package in R software. To determine the functions of DEGs, we conducted functional enrichment analysis of DEGs through the clusterProfiler package in R. The protein-protein interaction (PPI) network of DEGs was constructed through STRING (https//string-db.org/) and generated via Cytoscape software. To understand the correlation between DEGs and immune-related genes, immune-related cerebral vasospasm genes were obtained via intersecting immune-related genes and cerebral vasospasm DEGs. We also compared the infiltration of 28 immune cells between cases with cerebral vasospasm and those without cerebral vasospasm. Finally, we constructed a model to perform the validation experiments.

RESULTS:

Of the DEGs, there were 24 upregulated and 21 downregulated genes in the vasospasm samples compared to the no-vasospasm samples. Functional enrichment analysis showed that these genes play key roles in several biological processes and signaling pathways such as the bone morphogenetic protein (BMP) signaling pathway, cellular response to BMP stimulus, natural killer cell chemotaxis, negative regulation of transmembrane receptor protein serine/threonine kinase signaling pathway, MHC protein complex binding, and receptor ligand activity, among others. CCL4, HLA-DQA1, IGF2, NTS, and so on were the significant immune-related genes. Furthermore, the immune cell infiltration results showed that there were differences between patients with vasospasm and those without vasospasm. Finally, we found that CCL4 had significantly higher expression in patients with vasospasm than those without vasospasm.

CONCLUSIONS:

CCL4 is an important regulator of vascular dysfunction in cerebral hemorrhage.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional / Perfilación de la Expresión Génica Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Ann Palliat Med Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional / Perfilación de la Expresión Génica Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Ann Palliat Med Año: 2022 Tipo del documento: Article País de afiliación: China