Electroacupuncture Alleviates Depressive-like Behavior by Modulating the Expression of P2X7/NLRP3/IL-1β of Prefrontal Cortex and Liver in Rats Exposed to Chronic Unpredictable Mild Stress

Pang, Fang; Yang, Yanyan; Huang, Si-Qin; Yang, Zhi‐Xue; Zhu, Zhengwang; Liao, Dong-Mei; Guo, Xiaofan; Zhou, Min; Li, Yang; Tang, Cheng‐Lin

doi:10.3390/brainsci13030436

Cited by 5 publications

(1 citation statement)

References 78 publications

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“…Microglia, as resident immune cells of the central nervous system, not only maintain brain homeostasis but also participate in the pathological processes of various neuropsychiatric diseases [6]. Mounting evidence suggests a close association between microglial activation and dysfunctional states and the onset of depression [7,8]. However, the specific mechanistic role of microglia in depression remains incompletely understood.…”

Section: Introductionmentioning

confidence: 99%

Single-cell RNA-seq reveals the role of YAP1 in prefrontal cortex microglia in depression

Ma,

Bian,

Jiao

et al. 2024

BMC Neurol

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Background Depression is a complex mood disorder whose pathogenesis involves multiple cell types and molecular pathways. The prefrontal cortex, as a key brain region for emotional regulation, plays a crucial role in depression. Microglia, as immune cells of the central nervous system, have been closely linked to the development and progression of depression through their dysfunctional states. This study aims to utilize single-cell RNA-seq technology to reveal the pathogenic mechanism of YAP1 in prefrontal cortex microglia in depression. Methods Firstly, we performed cell type identification and differential analysis on normal and depressed prefrontal cortex tissues by mining single-cell RNA-seq datasets from public databases. Focusing on microglia, we conducted sub-clustering, differential gene KEGG enrichment analysis, intercellular interaction analysis, and pseudotime analysis. Additionally, a cross-species analysis was performed to explore the similarities and differences between human and rhesus monkey prefrontal cortex microglia. To validate our findings, we combined bulk RNA-Seq and WGCNA analysis to reveal key genes associated with depression and verified the relationship between YAP1 and depression using clinical samples. Results Our study found significant changes in the proportion and transcriptional profiles of microglia in depressed prefrontal cortex tissues. Further analysis revealed multiple subpopulations of microglia and their associated differential genes and signaling pathways related to depression. YAP1 was identified as a key molecule contributing to the development of depression and was significantly elevated in depression patients. Moreover, the expression level of YAP1 was positively correlated with HAMD scores, suggesting its potential as a biomarker for predicting the onset of depression. Conclusion This study utilized single-cell RNA-seq technology to reveal the pathogenic mechanism of YAP1 in prefrontal cortex microglia in depression, providing a new perspective for a deeper understanding of the pathophysiology of depression and identifying potential targets for developing novel treatment strategies.

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Section: Introductionmentioning

confidence: 99%