Lingli Luo, Wei Jing, Yiqing Guo, Dan Liu, Aodi He, Youming Lu
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引用次数: 0
Abstract
Major depression is characterized by an array of negative experiences, including hopelessness and anhedonia. We hypothesize that inhibition of negative experiences or aversion may generate antidepressant action. To directly test this hypothesis, we perform multimodal behavioral screenings in male mice and identify somatostatin (SST)-expressing neurons in the region X (HBX) between the lateral and medial habenula as a specific type of antidepressant neuron. SST neuronal activity modulation dynamically regulates antidepressant induction and relief. We also explore the circuit basis for encoding these modulations using single-unit recordings. We find that SST neurons receive inhibitory synaptic inputs directly from cholecystokinin-expressing neurons in the bed nucleus of the stria terminalis and project excitatory axon terminals onto proenkephalin-expressing neurons in the interpeduncular nucleus. This study reveals a cell-type-specific circuit of SST neurons in the HBX that encodes antidepressant action, and the control of the circuit may contribute to improving well-being.
重度抑郁症的特征是一系列负面体验,包括绝望和厌恶。我们假设,抑制负面体验或厌恶可能会产生抗抑郁作用。为了直接验证这一假设,我们对雄性小鼠进行了多模态行为筛选,并确定了位于外侧和内侧哈文脑之间的 X 区(HBX)中表达体生长抑素(SST)的神经元是一种特定类型的抗抑郁神经元。SST神经元的活动调节动态地调节着抗抑郁的诱导和缓解。我们还利用单细胞记录探索了编码这些调制的电路基础。我们发现,SST 神经元直接接收来自纹状体末端床核中表达胆囊收缩素神经元的抑制性突触输入,并将兴奋性轴突末端投射到胞间核中表达原脑啡肽的神经元上。这项研究揭示了HBX中SST神经元编码抗抑郁作用的细胞类型特异性回路,对该回路的控制可能有助于改善幸福感。
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.