Site- and Taxa-Specific Disease-Associated Oral Microbial Structures Distinguish Inflammatory Bowel Diseases.
Site- and Taxa-Specific Disease-Associated Oral Microbial Structures Distinguish Inflammatory Bowel Diseases.
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DOI：
10.1093/ibd/izab082
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发表时间：
2021-05
影响因子：
4.9
通讯作者：
Hari Somineni;Jordan Weitzner;S. Venkateswaran;A. Dodd;J. Prince;Arjuna Karikaran;Cary G. Sauer;S. Abramowicz;M. Zwick;D. Cutler;David T. Okou;P. Chopra;S. Kugathasan
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作者：
Hari Somineni;Jordan Weitzner;S. Venkateswaran;A. Dodd;J. Prince;Arjuna Karikaran;Cary G. Sauer;S. Abramowicz;M. Zwick;D. Cutler;David T. Okou;P. Chopra;S. Kugathasan
肠道和口腔微生物组已被独立地证明与炎症性肠病（IBD）相关。然而，目前尚不清楚肠道和口腔微生物疾病标志物在IBD中的组成方面在多大程度上趋同。此外，IBD口腔微环境内的空间和时间变化仍有待阐明。患者和方法我们使用了一个前瞻性招募的IBD患者（n = 47）和无关的健康对照患者（n = 18）队列，以检查各种口腔微环境中微生物群的空间和时间分布，以唾液，舌，颊粘膜和牙菌斑为代表，并将其与粪便进行比较。使用16S rRNA基因测序进行微生物组表征。结果口腔微生物组以位点特异性和分类特异性的方式显示IBD相关的生态失调。菌斑样本描述了相对严重程度的生态失调，与疾病相关的生态失调细菌群主要是厚壁菌门的成员。我们的16S rRNA基因分析表明，口腔微生物群可以区分IBD患者和健康对照患者，唾液微生物群表现最好，与粪便和其他口腔部位密切匹配。微生物组成的纵向剖面表明，一些类群比其他类群更一致的扰动，优先在一个网站依赖的方式。总的来说，这些数据表明，使用口腔微生物谱在筛选和监测IBD患者的潜力。此外，这些结果支持了空间和纵向微生物组采样的重要性，以解释疾病相关的生态失调状态，并最终深入了解疾病的发病机制。
BACKGROUND The gut and oral microbiome have independently been shown to be associated with inflammatory bowel disease (IBD). However, it is not known to what extent gut and oral microbial disease markers converge in terms of their composition in IBD. Further, the spatial and temporal variation within the oral microenvironments of IBD remain to be elucidated. PATIENTS AND METHODS We used a prospectively recruited cohort of patients with IBD (n = 47) and unrelated healthy control patients (n = 18) to examine the spatial and temporal distribution of microbiota within the various oral microenvironments, represented by saliva, tongue, buccal mucosa, and plaque, and compared them with stool. Microbiome characterization was performed using 16S rRNA gene sequencing. RESULTS The oral microbiome displayed IBD-associated dysbiosis, in a site- and taxa-specific manner. Plaque samples depicted a relatively severe degree of dysbiosis, and the disease-associated dysbiotic bacterial groups were predominantly the members of the phylum Firmicutes. Our 16S rRNA gene analyses show that oral microbiota can distinguish patients with IBD from healthy control patients, with salivary microbiota performing the best, closely matched by stool and other oral sites. Longitudinal profiles of microbial composition suggest that some taxa are more consistently perturbed than others, preferentially in a site-dependent fashion. CONCLUSIONS Collectively, these data indicate the potential of using oral microbial profiles in screening and monitoring patients with IBD. Furthermore, these results support the importance of spatial and longitudinal microbiome sampling to interpret disease-associated dysbiotic states and eventually to gain insights into disease pathogenesis.