Light and classical music therapies attenuate chronic unpredictable mild stress-induced depression via BDNF signaling pathway in mice

光和古典音乐疗法通过 BDNF 信号通路减轻小鼠慢性不可预测的轻度应激性抑郁症

阅读:13
作者:Hong-Yu Cheng, Hao-Xue Xie, Qian-Lan Tang, Li-Tao Yi, Ji-Xiao Zhu

Abstract

Depression, a pervasive mental health issue, often necessitates innovative therapeutic interventions. This study explores the efficacy of music therapy, a non-pharmacological approach, in ameliorating depression symptoms in a murine model. Employing a chronic unpredictable mild stress (CUMS) model to induce depressionlike behaviors in mice, we investigated the therapeutic potential of four distinct music genres: light, classical, atonal composition, and rock music. Behavioral assessments, including sucrose preference and immobility time, were conducted to evaluate the impact of music therapy. Additionally, we measured the levels of brain-derived neurotrophic factor (BDNF), synaptic proteins and neurogenesis to elucidate the underlying biological mechanisms. Our findings indicated that light and classical music significantly alleviated depression-like behaviors in mice, evidenced by increased sucrose preference and reduced immobility time. Conversely, atonal composition and rock music did not yield similar therapeutic benefits. Biochemically, light and classical music were associated with decreased levels of corticosterone and increased levels of glucocorticoid receptor, alongside enhanced BDNF signaling, synaptic proteins and neurogenesis. In conclusion, the study demonstrates that specific genres of music, notably light and classical music, may contribute to alleviating depression-like symptoms, potentially through mechanisms associated with BDNF signaling and neurogenesis. These results highlight the potential of targeted music therapy as a complementary approach in treating depression, with implications for its incorporation into broader therapeutic regimes. Further re-search is warranted to translate these findings into clinical practice.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。