Abstract
Endothelial cells are heterogeneous, stemming from multiple organs, but there is still little known about the connection between the brain and kidney endothelial cells, especially in homeostasis. In this study, scRNA-seq results were obtained to compare genetic profiles and biological features of tissue-specific endothelial cells. On this basis, seven endothelial cell subpopulations were identified, two of which were upregulated genes in pathways related to stroke and/or depression, as characterized by neuroinflammation. This study revealed the similarities and distinctions between brain and kidney endothelial cells, providing baseline information needed to fully understand the relationship between renal diseases and neuroinflammation, such as stroke and depression.
Highlights
Endothelial cells play a crucial role in maintaining the biological functions of the brain and kidney and in the development of renal and brain diseases, such as chronic kidney disease (CKD), stroke, and depression [1,2,3,4]
The scRNA-seq data collected from murine brains and kidneys in homeostasis were used to extract endothelial cells based on feature genes; genetic profiles were compared, and biological features were analyzed
Compared with kidney endothelial cells, two endothelial cell subpopulations were expressing a higher level of genes for three pathways closely linked to either stroke or depression, suggesting that these cells could be made susceptible to the disease by the upregulated expression of Ube2g1, Pdcd4, Fnbp4, Tollip, and Faf1
Summary
Endothelial cells play a crucial role in maintaining the biological functions of the brain and kidney and in the development of renal and brain diseases, such as chronic kidney disease (CKD), stroke, and depression [1,2,3,4]. It has been reported that several factors, such as VCAM-1, vWF, ICAM-1, P-selectin, and E-selectin [1, 2, 5, 6], related to endothelial cells are involved in either CKD or stroke/ depression. Most of these are the common pathological factors for the tissue-specific diseases. The scRNA-seq data collected from murine brains and kidneys in homeostasis were used to extract endothelial cells based on feature genes; genetic profiles were compared, and biological features were analyzed. Compared with kidney endothelial cells, two endothelial cell subpopulations were expressing a higher level of genes for three pathways closely linked to either stroke or depression, suggesting that these cells could be made susceptible to the disease by the upregulated expression of Ube2g1, Pdcd, Fnbp, Tollip, and Faf
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