Zhu Zhihui, Zhang Jianghui, Yuan Guojing, Jiang Meng, Zhang Xueqing, Zhang Kexin, Lu Xiaoyan, Guo Haiyun, Yang Huayu, Jin Guifang, Shi Haiyan, Du Jun, Xu Wenzhuo, Wang Sainan, Guo Hao, Jiang Kele, Zhang Zhihua
Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Front Microbiol. 2023 Dec 19;14:1323116. doi: 10.3389/fmicb.2023.1323116. eCollection 2023.
Bidirectional communication between the gut microbiota and the brain has sparked interest in exploring the link between mobile phone addiction (MPA) and sleep disorders (SD) in microbiome research. However, investigating the role of gut microbiota in this relationship using animal models presents challenges due to the unique nature of MPA, and human research in this area is scarce. We recruited 99 healthy college students to evaluate the gut microbiome using 16S rRNA gene amplicon sequencing and assess MPA and SD at baseline and after a two-month follow-up. Multiple covariate-adjusted statistical models, including linear regression, permutational multivariate analysis of variance and so on, were employed to determine microbiome associations with MPA at baseline and changes in SD at follow-up. Our findings revealed negative associations between MPA and three alpha diversity metrics, along with alterations in bacterial composition. MPA showed negative associations with the relative abundance of , while displaying positive associations with and . Conversely, exhibited a negative association with increased SD. This study has established a significant link between MPA and a decrease in the alpha diversity of the gut microbiota. was associated with MPA and SD, respectively. Additional investigation is needed to fully comprehend the relationship between comorbid behavioral disorders and the gut microbiota.
肠道微生物群与大脑之间的双向交流引发了微生物组研究中对探索手机成瘾(MPA)与睡眠障碍(SD)之间联系的兴趣。然而,由于MPA的独特性质,使用动物模型研究肠道微生物群在这种关系中的作用存在挑战,并且该领域的人类研究也很匮乏。我们招募了99名健康大学生,使用16S rRNA基因扩增子测序评估肠道微生物组,并在基线和两个月随访后评估MPA和SD。采用了多种协变量调整统计模型,包括线性回归、置换多变量方差分析等,以确定基线时微生物组与MPA的关联以及随访时SD的变化。我们的研究结果揭示了MPA与三个α多样性指标之间的负相关,以及细菌组成的改变。MPA与 的相对丰度呈负相关,而与 和 呈正相关。相反, 与SD增加呈负相关。本研究在MPA与肠道微生物群α多样性降低之间建立了显著联系。 分别与MPA和SD相关。需要进一步研究以全面理解共病行为障碍与肠道微生物群之间的关系。