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Quercetin targets VCAM1 to prevent diabetic cerebrovascular endothelial cell injury

Authors :
Jiebin Huang
Weiwei Lin
Yuxing Sun
Qian Wang
Shidian He
Zhihua Han
Lixing Lu
Xueran Kang
Yisheng Chen
Haoran Guo
Zhiyong Cui
Chenyu Sun
Ken Go
Junyi Wu
Mengxuan Yao
Mingfeng Cao
Yuzhen Xu
Source :
Frontiers in Aging Neuroscience, Vol 14 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

IntroductionEndothelial cells play important roles in neurodegenerative diseases caused by diabetes, therefore, we aimed at investigating the mechanisms through which endothelial cells are involved in diabetes development.MethodsSingle cell analysis was performed to identify the major endothelial cell subtypes in cardiovascular tissues that are involved in diabetes development. A cell-cell communication approach was then used to identify ligand-receptor interaction pairs between these cell types. Differential expression analysis between the two experimental groups [standard chow diet group and diabetogenic diet with cholesterol (DDC) group] was used to identify diabetes-related differentially expressed genes (DEGs). The upregulated genes were used to identify candidate ligands or receptors, as well as the corresponding cell types. Cell trajectory inference was performed to identify the stage of cell development and changes in expression of candidate ligands or receptors during cell development. Gene set enrichment analysis (GSEA) was conducted to investigate the biological functions of genes of purpose. Finally, molecular dynamics simulations (MDSs) were used to predict potential drugs with the ability to target the proteins of purpose.ResultsSeven cell types, including five endothelial cell subtypes (EC_1, EC_2, EC_3, EC_4, and EC_EndMT), were identified from endothelial cell-enriched single cell samples from the heart and aorta of mice. Cell-cell communication analysis revealed the potential ligand-receptor interactions between these cell types while five important ligand-receptor-associated genes, including Fn1, Vcam1, Fbn1, Col4a1, and Col4a2, were established by differential expression analysis. Among them, Vcam1 is mainly expressed in EC_EndMT and is involved in interactions between EC_EndMT and other cells. Cell trajectory extrapolation analysis revealed a shift from EC_2/EC_4 to EC_EndMT and a shift from EC_EndMT to EC_3/EC_1 during the progression of diabetes. GSEA analysis revealed that upregulation of VCAM1 may have inhibitory effects on cell growth and energy metabolism.ConclusionEC_EndMT subtypes have a complex role in neurodegenerative diseases caused by diabetes. Through mechanisms involved in cell-cell communication, Vcam1 may play an important role in dysregulation of biological functions of EC_ EndMT. Molecular docking results of the quercetin-VCAM1 complex suggest that quercetin may be an effective drug for targeting this protein.

Details

Language :
English
ISSN :
16634365
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Frontiers in Aging Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.b4461eaaee5147b8ad877949cea147b9
Document Type :
article
Full Text :
https://doi.org/10.3389/fnagi.2022.944195