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Genome-Wide, Integrative Analysis Implicates Exosome-Derived MicroRNA Dysregulation in Chronic Insomnia

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机构： [1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China. [2]Center on Translational Neuroscience, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100053, China. [3]Beijing Key Laboratory of Neuromodulation, Beijing 100053, China. [4]Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China. [5]Center for sleep and consciousness disorders, Beijing Institute for Brain Disorders, Beijing 100053, China. [6]Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China. [7]Hebei Hospital of Xuanwu Hospital, Capital Medical University, Shijiazhuang 050000 China. [8]Neuromedical Technology Innovation Center of Hebei Province, Shijiazhuang 050000 China.

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Insomnia, characterized by difficulty in initiating and sustaining sleep or waking prematurely without the ability to return to sleep, affects approximately 30% of the population. The underlying mechanisms of insomnia remain unclear and the objective diagnosic measures are scarce. It is an opportunity to explore the roles of peripheral blood exosomal miRNAs in insomnia patients. Methods: Exosomal miRNAs were isolated from 20 insomnia patients and an equal number of healthy individuals. A comprehensive genome-wide miRNA expression analysis was conducted to identify differential miRNAs between the two groups. To evaluate the diagnostic potential of these miRNAs, receiver operating characteristic (ROC) curves were employed. Furthermore, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed on the target genes of differential exosome miRNA to explore their regulated signaling pathways and molecular functions.We identified 51 differentially expressed miRNAs. Among these, miR-182-5p and miR-451a were markedly downregulated in patients as evidenced by their area under the curve (AUC) values. The areas under the ROC curves and 95% confidence intervals (Cl) of miR-182-5p and miR-451a in predicting the possibility of chronic insomnia patients were 0.863 (95% CI, 0.75-0.97) and 0.813 (95% CI, 0.68-0.95). Coexpression network analysis and enrichment analysis of miRNA target genes shed light on the molecular pathophysiology of insomnia, including autophagy and mitophagy.These findings suggest that peripheral blood exosomal miRNAs may serve as potential non-invasive biomarkers for insomnia diagnosis and provide new insights into the molecular mechanisms underlying this sleep disorder.© The Author(s) 2025. Published by Oxford University Press on behalf of Sleep Research Society.

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大类 | 2 区医学

小类 | 2 区临床神经病学 2 区神经科学

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大类 | 2 区医学

小类 | 2 区临床神经病学 2 区神经科学

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第一作者机构： [1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.

通讯作者：

通讯机构： [1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China. [3]Beijing Key Laboratory of Neuromodulation, Beijing 100053, China. [4]Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China. [5]Center for sleep and consciousness disorders, Beijing Institute for Brain Disorders, Beijing 100053, China. [6]Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China. [7]Hebei Hospital of Xuanwu Hospital, Capital Medical University, Shijiazhuang 050000 China. [8]Neuromedical Technology Innovation Center of Hebei Province, Shijiazhuang 050000 China.

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