Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them

Jun Shu; Yiqing Ren; Wen Tan; Wenshi Wei; Li Zhang; Jie Chang

doi:10.3389/fnagi.2022.967146

Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them

Front Aging Neurosci. 2022 Oct 3:14:967146. doi: 10.3389/fnagi.2022.967146. eCollection 2022.

Authors

Jun Shu¹, Yiqing Ren¹, Wen Tan², Wenshi Wei¹, Li Zhang¹, Jie Chang¹

Affiliations

¹ Department of Neurology, Cognitive Disorders Center, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
² Department of Endocrinology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.

Abstract

Background: Vascular dementia (VaD) and carotid atherosclerotic plaques are common in the elderly population, conferring a heavy burden on families and society. Accumulating evidence indicates carotid atherosclerotic plaques to be a risk factor for VaD. However, the underlying mechanisms for this association are mainly unknown.

Materials and methods: We analyzed temporal cortex gene expression data of the GSE122063 dataset and gene expression data of the GSE163154 dataset to identify commonly differentially expressed genes (DEGs). Then we performed functional enrichment analysis, immune cell infiltration and evaluation, correlation analysis between differentially expressed immune-related genes (DEIRGs) and immune cells, receiver operating characteristic (ROC) analysis, and drug-gene analysis.

Results: We identified 41 overlapped DEGs between the VaD and carotid atherosclerosis plaque datasets. Functional enrichment analyses revealed that these overlapped DEGs were mainly enriched in inflammatory and immune-related processes. Immunocyte infiltration and evaluation results showed that M0 macrophages, M2 macrophages, and T cells gamma delta had a dominant abundance in carotid atherosclerosis plaque samples, and M0 macrophages showed a significantly different infiltration percentage between the early and advanced stage plaques group. Resting CD4 memory T cells, M2 macrophages, and naive B cells were the top three highest infiltrating fractions in VaD. Furthermore, B cells and NK cells showed a different infiltration percentage between VaD and matched controls. We identified 12 DEIRGs, and the result of correlation analysis revealed that these DEIRGs were closely related to differentially expressed immune cells. We identified five key DEIRGs based on ROC analysis. The drug-gene interaction analysis showed that four drugs (avacopan, CCX354, BMS-817399, and ASK-8007) could be potential drugs for VaD and carotid atherosclerotic plaques treatment.

Conclusion: Collectively, these findings indicated that inflammatory and immune-related processes be a crucial common pathophysiological mechanism shared by VaD and carotid plaques. This study might provide new insights into common molecular mechanisms between VaD and carotid plaques and potential targets for the treatment.

Keywords: bioinformatics; carotid plaques; gene-drug interaction analysis; immune cell infiltration; vascular dementia.