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美国成年人口腔微生物群与睡眠障碍之间的关联:对2009 - 2012年美国国家健康与营养检查调查(NHANES)数据库的分析

Association between oral microbiome and sleep disorders in U.S. adults: analysis of NHANES database 2009-2012.

作者信息

Hao Guihua, Wu Yiwen, Mo Xiaoqiao, Zhao Xiaomei, Hou Lili, Xie Tian

机构信息

Department of Nursing, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiaotong University, 639 S Zhizaoju Rd, Shanghai, 200011, China.

Shanghai JiaoTong University School of Nursing, Shanghai, China.

出版信息

BMC Oral Health. 2025 Apr 1;25(1):469. doi: 10.1186/s12903-025-05794-w.

Abstract

BACKGROUND

The microbiome, especially the gut microbiome, contributes to the regulation, etiology, and pathogenesis of sleep disorder. However, limited evidence regarding the oral microbiome's role in sleep disorder. Therefore, this study aimed to investigate the association between sleep disorder and oral microbial diversity and whether oral microbiota is associated with all-cause mortality in people with sleep disorder.

METHODS

The study included 4,729 individuals in the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2012 and mortality data until 2019. Sleep disorder was assessed by structured questionnaire. The oral microbiome was characterized by 16 S ribosomal RNA gene sequencing. Logistic regression models were conducted to quantify the association of α-diversity with different sleep status controlling for potential confounding variables, and principal coordinate analysis along with permutational multivariate analysis of variance for β-diversity. The association between the oral microbiome and all-cause mortality was assessed using Cox proportional hazard models.

RESULTS

The α-diversity showed that a lower number of operational taxonomic units (OTUs) (adjusted odds ratio [aOR] = 0.996; 95% confidence interval [CI] = 0.994-0.998), less Faith's phylogenetic diversity (aOR = 0.954, 95% CI = 0.934-0.975), and a lower Shannon-Weiner index (aOR = 0.854, 95% CI = 0.772-0.944) were associated with sleep disorder. β-diversity revealed different oral microbiome communities between the two groups, as measured by the Bray-Curtis dissimilarity (R = 0.358%, P = 0.001), unweighted UniFrac distance (R = 0.450%, P = 0.001) and weighted UniFrac distance (R = 0.709%, P = 0.001). Furthermore, the OTUs (odds ratio [OR] = 0.999; 95% CI = 0.998-0.999; P < 0.05), Faith's phylogenetic diversity (OR = 0.987; 95% CI = 0.975-0.998; P < 0.05), Shannon-Weiner index (OR = 0.924; 95% CI = 0.873-0.979; P < 0.05), and the inverse Simpson index (OR = 0.553; 95% CI = 0.306-0.997; P < 0.05) were all associated with a significant increase in the risk of all-cause death in participants with sleep disorder.

CONCLUSIONS

Intra-population richness, inter-population dispersion, and the phylogenetic diversity of the oral microbiome have all been linked to sleep disorder and all-cause mortality. Overall, these results will help to better understand the etiology and pathogenesis of sleep disorder. Further studies are required to determine the mechanisms underlying the role of microbiome in the pathogenesis of sleep disorder.

摘要

背景

微生物群,尤其是肠道微生物群,参与睡眠障碍的调节、病因及发病机制。然而,关于口腔微生物群在睡眠障碍中的作用,证据有限。因此,本研究旨在调查睡眠障碍与口腔微生物多样性之间的关联,以及口腔微生物群是否与睡眠障碍患者的全因死亡率相关。

方法

该研究纳入了2009年至2012年美国国家健康与营养检查调查(NHANES)中的4729名个体,并获取了截至2019年的死亡率数据。通过结构化问卷评估睡眠障碍。采用16S核糖体RNA基因测序对口腔微生物群进行特征分析。进行逻辑回归模型以量化α多样性与不同睡眠状态之间的关联,并控制潜在的混杂变量,同时采用主坐标分析以及β多样性的置换多变量方差分析。使用Cox比例风险模型评估口腔微生物群与全因死亡率之间的关联。

结果

α多样性显示,较低的可操作分类单元(OTU)数量(调整优势比[aOR]=0.996;95%置信区间[CI]=0.994-0.998)、较低的费思系统发育多样性(aOR=0.954,95%CI=0.934-0.975)以及较低的香农-韦纳指数(aOR=0.854,95%CI=0.772-0.944)与睡眠障碍相关。β多样性显示,两组之间的口腔微生物群群落不同,通过布雷-柯蒂斯差异度(R=0.358%,P=0.001)、非加权UniFrac距离(R=0.450%,P=0.001)和加权UniFrac距离(R=0.709%,P=0.001)来衡量。此外,OTU(优势比[OR]=0.999;95%CI=0.998-0.999;P<0.05)、费思系统发育多样性(OR=0.987;95%CI=0.975-0.998;P<0.05)、香农-韦纳指数(OR=0.924;95%CI=0.873-0.979;P<0.05)以及反辛普森指数(OR=0.553;95%CI=0.306-0.997;P<0.05)均与睡眠障碍参与者全因死亡风险的显著增加相关。

结论

口腔微生物群的群体内丰富度、群体间离散度和系统发育多样性均与睡眠障碍和全因死亡率有关。总体而言,这些结果将有助于更好地理解睡眠障碍的病因和发病机制。需要进一步研究以确定微生物群在睡眠障碍发病机制中作用的潜在机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb03/11959752/bb07fb3c99ac/12903_2025_5794_Fig1_HTML.jpg

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