Coppola Gianfilippo, Rurak Gareth M, Simard Stephanie, Salmaso Natalina
Child Study Center, Yale University, New Haven, CT, USA.
Department of Neuroscience, Carleton University, Ottawa, ON, Canada.
J Exp Neurosci. 2019 Aug 16;13:1179069519870182. doi: 10.1177/1179069519870182. eCollection 2019.
The neuroplasticity hypothesis of depression proposes that major depressive disorders are related to decreased hippocampal and cortical neural plasticity, which is reversed by antidepressant treatment. Astroglial cells have emerged as key mediators of neural plasticity and are involved in the cause and treatment of depression and anxiety-like behaviors. One of the ways that astroglia modulate neuroplasticity is through the formation and maintenance of perineuronal nets (PNNs). Perineuronal nets are important extracellular matrix components that respond to stress and are implicated in anxiety-like behaviors. Normally, astroglial cells continuously turnover PNNs by degrading and donating PNN proteins; however, chronic stress slows PNN protein degradation and increases cortical PNN expression overall. In this report, we used weighted gene co-expression network analysis and eigengene analysis to further delineate the pathways and key regulators involved in the astroglial-PNN relationship following chronic stress. Our analyses indicate that chronic variable stress induces the expression of PNNs through inhibition of trophic pathways and key transcription factors in astroglial cells. These data further support the integral role of astroglial cells in the neuroplasticity hypothesis of depression through their modulation of anxiety-like behaviors and PNNs.
抑郁症的神经可塑性假说提出,重度抑郁症与海马体和皮质神经可塑性降低有关,而抗抑郁治疗可逆转这种情况。星形胶质细胞已成为神经可塑性的关键介质,并参与抑郁症和焦虑样行为的病因及治疗。星形胶质细胞调节神经可塑性的方式之一是通过形成和维持神经元周围网(PNN)。神经元周围网是重要的细胞外基质成分,对压力有反应,并与焦虑样行为有关。正常情况下,星形胶质细胞通过降解和提供PNN蛋白不断更新PNN;然而,慢性应激会减缓PNN蛋白降解并总体上增加皮质PNN表达。在本报告中,我们使用加权基因共表达网络分析和特征基因分析,进一步描绘慢性应激后星形胶质细胞与PNN关系中涉及的途径和关键调节因子。我们的分析表明,慢性可变应激通过抑制星形胶质细胞中的营养途径和关键转录因子诱导PNN表达。这些数据进一步支持了星形胶质细胞通过调节焦虑样行为和PNN在抑郁症神经可塑性假说中的重要作用。