Yi Yang, Jingxian Wang, Qing Su, Jinhuan Yang, Zhiyuan Bo, Chongming Zheng, Yitong Xie, Kaiwen Chen, Juejin Wang, Gang Chen, Yi Wang
{"title":"The Mediation/Moderation Effects of Gut Microbiota on Sleep Quality and Primary Liver Cancer: A Mendelian Randomization and Case–Control Study","authors":"Yi Yang, Jingxian Wang, Qing Su, Jinhuan Yang, Zhiyuan Bo, Chongming Zheng, Yitong Xie, Kaiwen Chen, Juejin Wang, Gang Chen, Yi Wang","doi":"10.2147/nss.s458491","DOIUrl":null,"url":null,"abstract":"<strong>Background:</strong> Primary liver cancer (PLC) is a fatal malignancy, sleep quality and gut microbiota were shown to be associated with PLC. However, the mechanism of how sleep quality affects PLC is unclear. This study aims to investigate the mediation/moderation effects of gut microbiota on sleep quality and the occurrence of PLC.<br/><strong>Methods:</strong> The causality of sleep quality and the occurrence of PLC was detected through the Mendelian randomization (MR) analysis based on the data including 305,359 individuals (Finland Database) and 456,348 participants (UK Biobank). The primary method used for MR analysis was inverse-variance weighted analysis. Gut microbiota’ mediation/moderation effects were uncovered in the case–control study including 254 patients with PLC and 193 people with benign liver diseases through the mediation/moderation effect analyses. People’s sleep quality was evaluated through the Pittsburgh sleep quality index (PSQI).<br/><strong>Results:</strong> Poor sleep quality could lead to PLC through the MR analysis (<em>P</em> = 0.026). The case–control study uncovered that <em>Actinobacteria</em> had mediation effects on the relationship between PSQI score, self-sleep quality, and the occurrence of PLC (<em>P</em> = 0.048, <em>P</em> = 0.046). <em>Actinobacteria</em> and <em>Bifidobacterium</em> could inhibit the development of PLC caused by short night sleep duration (<em>P</em> = 0.021, <em>P</em> = 0.022). <em>Erysipelotrichales</em> could weaken the influence of daytime dysfunction on PLC (<em>P</em> = 0.033). <em>Roseburia</em> modulated the contribution of nocturnal insomnia and poor sleep quality to PLC (<em>P</em> = 0.009, <em>P</em> = 0.017).<br/><strong>Conclusion:</strong> Poor sleep quality was associated with PLC. Gut microbiota’ mediation/moderation effects on poor sleep quality and the occurrence of PLC prompted an insightful idea for the prevention of PLC.<br/><br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/nss.s458491","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Primary liver cancer (PLC) is a fatal malignancy, sleep quality and gut microbiota were shown to be associated with PLC. However, the mechanism of how sleep quality affects PLC is unclear. This study aims to investigate the mediation/moderation effects of gut microbiota on sleep quality and the occurrence of PLC. Methods: The causality of sleep quality and the occurrence of PLC was detected through the Mendelian randomization (MR) analysis based on the data including 305,359 individuals (Finland Database) and 456,348 participants (UK Biobank). The primary method used for MR analysis was inverse-variance weighted analysis. Gut microbiota’ mediation/moderation effects were uncovered in the case–control study including 254 patients with PLC and 193 people with benign liver diseases through the mediation/moderation effect analyses. People’s sleep quality was evaluated through the Pittsburgh sleep quality index (PSQI). Results: Poor sleep quality could lead to PLC through the MR analysis (P = 0.026). The case–control study uncovered that Actinobacteria had mediation effects on the relationship between PSQI score, self-sleep quality, and the occurrence of PLC (P = 0.048, P = 0.046). Actinobacteria and Bifidobacterium could inhibit the development of PLC caused by short night sleep duration (P = 0.021, P = 0.022). Erysipelotrichales could weaken the influence of daytime dysfunction on PLC (P = 0.033). Roseburia modulated the contribution of nocturnal insomnia and poor sleep quality to PLC (P = 0.009, P = 0.017). Conclusion: Poor sleep quality was associated with PLC. Gut microbiota’ mediation/moderation effects on poor sleep quality and the occurrence of PLC prompted an insightful idea for the prevention of PLC.
期刊介绍:
Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep.
Specific topics covered in the journal include:
The functions of sleep in humans and other animals
Physiological and neurophysiological changes with sleep
The genetics of sleep and sleep differences
The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness
Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness
Sleep changes with development and with age
Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause)
The science and nature of dreams
Sleep disorders
Impact of sleep and sleep disorders on health, daytime function and quality of life
Sleep problems secondary to clinical disorders
Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health)
The microbiome and sleep
Chronotherapy
Impact of circadian rhythms on sleep, physiology, cognition and health
Mechanisms controlling circadian rhythms, centrally and peripherally
Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health
Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption
Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms
Epigenetic markers of sleep or circadian disruption.