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Comprehensive analysis identifies crucial genes associated with immune cells mediating progression of carotid atherosclerotic plaque.
Li, Zhen; Liu, Junhui; Liu, Zhichun; Zhu, Xiaonan; Geng, Rongxin; Ding, Rui; Xu, Haitao; Huang, Shulan.
Afiliación
  • Li Z; Department of Neurosurgery III, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, P.R. China.
  • Liu J; Department of Neurosurgery III, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, P.R. China.
  • Liu Z; Department of Neurosurgery III, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, P.R. China.
  • Zhu X; Department of Neurosurgery III, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, P.R. China.
  • Geng R; Department of Neurosurgery III, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, P.R. China.
  • Ding R; Department of Neurosurgery III, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, P.R. China.
  • Xu H; Department of Neurosurgery III, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, P.R. China.
  • Huang S; Department of Neurosurgery III, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, P.R. China.
Aging (Albany NY) ; 16(4): 3880-3895, 2024 02 20.
Article en En | MEDLINE | ID: mdl-38382092
ABSTRACT
BACKGROUNDS Carotid atherosclerosis is prone to rupture and cause ischemic stroke in advanced stages of development. Our research aims to provide markers for the progression of atherosclerosis and potential targets for its treatment.

METHODS:

We performed a thorough analysis using various techniques including DEGs, GO/KEGG, xCell, WGCNA, GSEA, and other methods. The gene expression omnibus datasets GSE28829 and GSE43292 were utilized for this comprehensive analysis. The validation datasets employed in this study consisted of GSE41571 and GSE120521 datasets. Finally, we validated PLEK by immunohistochemistry staining in clinical samples.

RESULTS:

Using the WGCNA technique, we discovered 636 differentially expressed genes (DEGs) and obtained 12 co-expression modules. Additionally, we discovered two modules that were specifically associated with atherosclerotic plaque. A total of 330 genes that were both present in DEGs and WGCNA results were used to create a protein-protein network in Cytoscape. We used four different algorithms to get the top 10 genes and finally got 6 overlapped genes (TYROBP, ITGB2, ITGAM, PLEK, LCP2, CD86), which are identified by GSE41571 and GSE120521 datasets. Interestingly, the area under curves (AUC) of PLEK is 0.833. Besides, we found PLEK is strongly positively correlated with most lymphocytes and myeloid cells, especially monocytes and macrophages, and negatively correlated with most stromal cells (e.g, neurons, myocytes, and fibroblasts). The expression of PLEK were consistent with the immunohistochemistry results.

CONCLUSIONS:

Six genes (TYROBP, ITGB2, ITGAM, PLEK, LCP2, CD86) were found to be connected with carotid atherosclerotic plaques and PLEK may be an important biomarker and a potential therapeutic target.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de las Arterias Carótidas / Aterosclerosis / Placa Aterosclerótica Límite: Humans Idioma: En Revista: Aging (Albany NY) Asunto de la revista: GERIATRIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de las Arterias Carótidas / Aterosclerosis / Placa Aterosclerótica Límite: Humans Idioma: En Revista: Aging (Albany NY) Asunto de la revista: GERIATRIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos