Snider Erik J, Compres Griselda, Freedberg Daniel E, Giddins Marla J, Khiabanian Hossein, Lightdale Charles J, Nobel Yael R, Toussaint Nora C, Uhlemann Anne-Catrin, Abrams Julian A
Department of Medicine, Oregon Health Sciences University, Portland, OR, USA.
Department of Medicine, Columbia University Medical Center, New York, NY, USA.
Clin Transl Gastroenterol. 2018 Feb 20;9(3):135. doi: 10.1038/s41424-018-0005-8.
The esophageal microbiome is composed of predominantly oral flora and is altered in reflux-related conditions including Barrett's esophagus (BE). Changes to the esophageal microbiome may be reflected in the oral cavity. Assessing the oral microbiome thus represents a potential non-invasive method to identify patients with BE.
Patients with and without BE undergoing upper endoscopy were prospectively enrolled. Demographics, clinical data, medications, and dietary intake were assessed. 16S rRNA gene sequencing was performed on saliva samples collected prior to endoscopy. Taxonomic differences between groups were assessed via linear discriminant analysis effect size (LEfSe). Logit models were used to develop microbiome signatures to distinguish BE from non-BE, assessed by area under the receiver operating curve (AUROC).
A total of 49 patients were enrolled (control = 17, BE = 32). There was no significant difference in alpha diversity comparing all BE patients vs.
At the phylum level, the oral microbiome in BE patients had significantly increased relative abundance of Firmicutes (p = 0.005) and decreased Proteobacteria (p = 0.02). There were numerous taxonomic differences in the oral microbiome between BE and controls. A model including relative abundance of Lautropia, Streptococcus, and a genus in the order Bacteroidales distinguished BE from controls with an AUROC 0.94 (95% CI: 0.85-1.00). The optimal cutoff identified BE patients with 96.9% sensitivity and 88.2% specificity.
The oral microbiome in BE patients was markedly altered and distinguished BE with relatively high accuracy. The oral microbiome represents a potential screening marker for BE, and validation studies in larger and distinct populations are warranted.
食管微生物群主要由口腔菌群组成,在包括巴雷特食管(BE)在内的反流相关疾病中会发生改变。食管微生物群的变化可能会在口腔中得到反映。因此,评估口腔微生物群是一种潜在的非侵入性方法,可用于识别BE患者。
前瞻性纳入接受上消化道内镜检查的有或无BE的患者。评估人口统计学、临床数据、用药情况和饮食摄入。在内镜检查前收集的唾液样本上进行16S rRNA基因测序。通过线性判别分析效应大小(LEfSe)评估组间的分类学差异。使用逻辑模型开发微生物群特征,以区分BE和非BE,通过受试者工作特征曲线下面积(AUROC)进行评估。
共纳入49例患者(对照组=17例,BE组=32例)。比较所有BE患者与对照组的α多样性,无显著差异。
在门水平上,BE患者口腔微生物群中厚壁菌门的相对丰度显著增加(p=0.005),变形菌门减少(p=0.02)。BE组和对照组的口腔微生物群在分类学上存在许多差异。一个包括劳特罗普菌属、链球菌属和拟杆菌目一个属的相对丰度的模型区分BE和对照组的AUROC为0.94(95%CI:0.85-1.00)。最佳截断值识别BE患者的灵敏度为96.9%,特异性为88.2%。
BE患者的口腔微生物群有明显改变,并以相对较高的准确性区分BE。口腔微生物群是BE的一个潜在筛查标志物,有必要在更大且不同的人群中进行验证研究。