Role of long non-coding RNAs in depression: Mechanisms and potential therapeutic targets

被引:0
作者
Ding, Zhanghua [1 ]
Shen, Juntian [1 ]
Wei, Chenlang [1 ]
Liu, Zhuocao [1 ]
Huang, Lina [1 ]
Zhou, Shouhong [1 ,2 ,3 ]
机构
[1] Guilin Med Univ, Guangxi Key Lab Brain & Cognit Neurosci, Guilin 541199, Guangxi, Peoples R China
[2] South China Univ, Affiliated Hosp 2, Dept Pediat, Hengyang 421001, Hunan, Peoples R China
[3] Guilin Med Univ, Coll Basic Med, Dept Immunol, Guilin 541199, Guangxi, Peoples R China
来源
JOURNAL OF NEURORESTORATOLOGY | 2024年 / 12卷 / 04期
基金
中国国家自然科学基金;
关键词
Long non-coding RNAs; Depression; Diagnosis; Therapy; TRANSCRIPTION;
D O I
10.1016/j.jnrt.2024.100142
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Depression, also known as major depressive disorder, is a mental disorder caused by multiple factors. The cause of depression remains unclear, but a growing number of studies have reported a link between depression and long non-coding RNAs (lncRNAs). In the present study, we reviewed the relationships between depression and four lncRNAs, focusing on the differential expression of these lncRNAs in patients with depression, how to regulate depression, and how to use lncRNAs for the diagnosis, prevention, and treatment of clinical depression. Methods: A systematic review of 23 studies published between 2011 and 2021 was conducted using Pubmed. Selection criteria included publication date and relevance to topic: Only articles published after 2010 were included to ensure the review reflects the most recent research, and all articles are selected strictly on their research topic. Results: The short communication has summarized the relationships between depression and four lncRNAs, especially antisense lncRNAs and lincRNAs, and their potential in the diagnosis of depression and its targeted therapy. Conclusions: The study found that these four lncRNAs, particularly antisense lncRNAs and lincRNAs, are closely associated with various aspects of depression. These findings suggest new therapeutic targets and could contribute to improving the accuracy of depression diagnosis. (c) 2024 The Authors. Published by Elsevier Ltd on behalf of Tsinghua University Press. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:4
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