Nie Linghui, Xiang Qian, Lin Yaqi, Xu Yajing, Wen Wanhua, Deng Yingxing, Chen Jingying, Zhu Xiqi, Xie Linlin, Wu Zhiyong
Children's Behavioral Development Rehabilitation Center, The Second People's Hospital of Guangdong Province, Guangzhou, Guangdong, China.
College of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, China.
Biochem Biophys Rep. 2024 Jan 18;37:101629. doi: 10.1016/j.bbrep.2023.101629. eCollection 2024 Mar.
BACKGROUND: Primary insomnia (PI) refers to syndromes of difficulty falling asleep, poor sleep quality, early awakening, and difficulty falling asleep after waking up. Although there have been numerous studies, the specific etiology and pathogenesis of PI are still misunderstanding. In recent years, the gut microbiota has been proved to be involved in the metabolism of many mental disorders. But the specific mechanisms of its involvement in PI have not been fully elucidated. This study aims to explore the relationship between the gut microbiota and the symptoms, cognitive function changes in PI. METHODS: In this study, the gut microbiota of PI patients and healthy controls was profiled by performing stool 16s rRNA gene sequencing. The co-occurrence network was constructed by using Weight Gene Co-expression Network Analysis (WGCNA) algorithm. The correlation between gut microbiota associated pathways and traits in PI were predicted. RESULTS: WGCNA results demonstrated several Operational Taxonomic Units (OTU) modules are correlated to symptoms. By using PICRUSt2 software, we predicted the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of microbiota in modules. For instance, sleep efficiency may be correlated with the presence of Insulin signaling pathway, Flavonoid biosynthesis, Ascorbate and aldarate metabolism, Nitrotoluene degradation, Biotin metabolism, RNA polymerase and Chlorocyclohexane and chlorobenzene degradation. Total sleep time may be correlated with the presence of Tyrosine metabolism, Propanoate metabolism, Carbon fixation pathways in prokaryotes, Carotenoid biosynthesis, Systemic lupus erythematosus, Nitrotoluene degradation and Biosynthesis of unsaturated fatty acids. The severity of insomnia may be correlated with Insulin signaling pathway, Flavonoid biosynthesis, Ascorbate and aldarate metabolism, Nitrotoluene degradation, Biotin metabolism and RNA polymerase. Change of name score in Montreal Cognitive Assessment (MoCA) may be correlated with Tyrosine metabolism, Propanoate metabolism, Carbon fixation pathways in prokaryotes, Carotenoid biosynthesis, Systemic lupus erythematosus, Nitrotoluene degradation, Biosynthesis of unsaturated fatty acids, Apoptosis, Steroid hormone biosynthesis, Geraniol degradation, Protein digestion and absorption and Bisphenol degradation in Gut Microbiota (GM). CONCLUSION: This study revealed the potential relationships between gut microbiota and PI. By using pathway prediction and enrichment analysis, we concluded many metabolic pathways may associated with some important traits of insomnia patients, including sleep efficiency, severe insomnia, total sleep time and change of name score in MoCA. The metabolic pathways include Insulin signaling pathway, Flavonoid biosynthesis, Ascorbate and aldarate metabolism, Nitrotoluene degradation, Biotin metabolism, RNA polymerase and Chlorocyclohexane, chlorobenzene degradation, Tyrosine metabolism, Propanoate metabolism, Carbon fixation pathways in prokaryotes, Carotenoid biosynthesis, Systemic lupus erythematosus, Biosynthesis of unsaturated fatty acids, Apoptosis, Steroid hormone biosynthesis, Geraniol degradation, Protein digestion and absorption and Bisphenol degradation.Our study demonstrated that PI patients demonstrate significant changes in gut microbiota, which will help delineate the relationship between gut microbiota and syndromes of PI.
背景:原发性失眠(PI)是指入睡困难、睡眠质量差、早醒以及醒后难以再次入睡等症状。尽管已有众多研究,但PI的确切病因和发病机制仍存在误解。近年来,肠道微生物群已被证明参与多种精神障碍的代谢过程。但其参与PI的具体机制尚未完全阐明。本研究旨在探讨肠道微生物群与PI症状、认知功能变化之间的关系。 方法:在本研究中,通过对PI患者和健康对照者的粪便进行16s rRNA基因测序来分析肠道微生物群。使用加权基因共表达网络分析(WGCNA)算法构建共现网络。预测PI中肠道微生物群相关通路与特征之间的相关性。 结果:WGCNA结果表明,几个操作分类单元(OTU)模块与症状相关。通过使用PICRUSt2软件,我们预测了模块中微生物群的京都基因与基因组百科全书(KEGG)通路。例如,睡眠效率可能与胰岛素信号通路、类黄酮生物合成、抗坏血酸和醛糖代谢、硝基甲苯降解、生物素代谢、RNA聚合酶以及氯环己烷和氯苯降解的存在有关。总睡眠时间可能与酪氨酸代谢、丙酸代谢、原核生物中的碳固定途径、类胡萝卜素生物合成、系统性红斑狼疮、硝基甲苯降解和不饱和脂肪酸生物合成有关。失眠的严重程度可能与胰岛素信号通路、类黄酮生物合成、抗坏血酸和醛糖代谢、硝基甲苯降解、生物素代谢和RNA聚合酶有关。蒙特利尔认知评估(MoCA)中命名分数的变化可能与酪氨酸代谢、丙酸代谢、原核生物中的碳固定途径、类胡萝卜素生物合成、系统性红斑狼疮、硝基甲苯降解、不饱和脂肪酸生物合成、细胞凋亡、类固醇激素生物合成、香叶醇降解、蛋白质消化和吸收以及肠道微生物群(GM)中的双酚降解有关。 结论:本研究揭示了肠道微生物群与PI之间的潜在关系。通过通路预测和富集分析,我们得出许多代谢通路可能与失眠患者的一些重要特征有关,包括睡眠效率、严重失眠、总睡眠时间以及MoCA中命名分数的变化。这些代谢通路包括胰岛素信号通路、类黄酮生物合成、抗坏血酸和醛糖代谢、硝基甲苯降解、生物素代谢、RNA聚合酶以及氯环己烷、氯苯降解、酪氨酸代谢、丙酸代谢、原核生物中的碳固定途径、类胡萝卜素生物合成、系统性红斑狼疮、不饱和脂肪酸生物合成、细胞凋亡、类固醇激素生物合成、香叶醇降解、蛋白质消化和吸收以及双酚降解。我们的研究表明,PI患者的肠道微生物群有显著变化,这将有助于阐明肠道微生物群与PI症状之间的关系。
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