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Updated: Jan 15, 2026

Network Pharmacology and Validation of the Antidepressant Mechanisms of Qiangzhifang in a Chronic Restraint Stress-induced Depression Rat Model
Published on: June 6, 2025
Transcription factors Lef1 and Rest stimulate recovery from depressive states
Hajime Yamamoto1, Satomi Araki1, Ryoma Onodera1
1Lab of Brain Development, Graduate School of Life Sciences, Tohoku University, Sendai, Miyagi, Japan.
Abstract:
The depressive state, a hallmark of major depressive disorder (MDD) and frequently observed alongside various neurological diseases, is often characterized by the dysregulation of multiple genes, reflecting a complex and multifaceted pathology underlying its symptoms. To gain deeper insights into the role of transcription factors (TFs) in mediating depressive states, we performed a detailed analysis of transcription factor activity profiles (TFAPs) in mouse brains, employing a TF-activity reporter battery that enables evaluation of transcriptional activities of multiple TFs and endogenous gene expression patterns within the same samples. This approach identified two critical TFs, T-cell factor/lymphoid enhancer factor (TCF/LEF) and RE1-silencing transcription factor (REST), whose activities were closely associated with a depressive phenotype and the transcriptomic alterations observed in mice subjected to chronic social defeat stress. We also found significant alterations in genes downstream of both TCF/LEF and REST in the brains of human patients with MDD. Pharmacological assessment in mice revealed that the neuropsychiatric agents, lithium and sertraline, modulate TCF/LEF and REST activities both in vitro and in vivo. Genetic and pharmacological manipulations of TCF/LEF and REST activities in stress-exposed mice influenced the recovery from depressive states, with combined modulation of both TFs enhancing therapeutic outcomes. These findings underscore the critical roles of TCF/LEF and REST in driving the transcriptomic changes observed in the brain during recovery from a depressive state. TFAP analysis deepens our understanding of the molecular underpinnings of chronic disorders and offers the potential for novel therapeutic interventions.
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