Integration of spatial and single-cell transcriptomic analysis uncovers cellular and molecular alterations in the hypertensive brain
Year: 2025
Type: article
Abstract: AIMS: Hypertension is a major global health burden, and the central nervous system (CNS) plays a pivotal role in regulating blood pressure. However, the underlying cellular and molecular mechanisms remain incompletely understood. This study aimed to characterize the spatial and single-cell transcriptomic profiles of CNS regions implicated in hypertension. MATERIALS AND METHODS: Spatial transcriptomic sequencing and single-cell RNA sequencing were performed on the hypothalamus and medulla oblongata of spontaneously hypertensive rats and normotensive Wistar-Kyoto controls at 4 and 10 weeks of age. Transcriptomic findings were integrated with histological analyses and validated using human brain tissues. KEY FINDINGS: neurons, were characterized, exhibiting potential crosstalk with microglia, astrocytes, and oligodendrocytes. Further integrated analyses revealed a significant upregulation of Eno1 in hypertensive brains, implicating it in neural regulation of blood pressure. Findings in human samples were consistent with the results obtained from rats. SIGNIFICANCE: This study provides a comprehensive spatial transcriptomic atlas of the hypertensive brain, uncovering multidimensional molecular mechanisms underlying CNS-mediated blood pressure regulation. These results advance our understanding of neurogenic hypertension and may inform future diagnostic and therapeutic strategies.
Source: Life Sciences
Institutions: Capital Medical University, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Anzhen Hospital, Fu Wai Hospital, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Tianjin Medical University, Beijing Institute for Brain Disorders, Beijing Jishuitan Hospital
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,810
OpenAlex ID: W4416590697
