Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan.
Department of Family and Community Medicine, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania.
Cancer Prev Res (Phila). 2018 Jul;11(7):393-402. doi: 10.1158/1940-6207.CAPR-17-0370. Epub 2018 Apr 10.
The microbiome has been implicated in the development of colorectal cancer and inflammatory bowel diseases. The specific traits of these diseases vary along the axis of the digestive tract. Further, variation in the structure of the gut microbiota has been associated with both diseases. We profiled the microbiota of the healthy proximal and distal mucosa and lumen to better understand how bacterial populations vary along the colon. We used a two-colonoscope approach to sample proximal and distal mucosal and luminal contents from the colons of 20 healthy subjects that had not undergone any bowel preparation procedure. The biopsies and home-collected stool were subjected to 16S rRNA gene sequencing, and random forest classification models were built using taxa abundance and location to identify microbiota specific to each site. The right mucosa and lumen had the most similar community structures of the five sites we considered from each subject. The distal mucosa had higher relative abundance of and The proximal mucosa had more of the genera and The classification model performed well when classifying mucosal samples into proximal or distal sides (AUC = 0.808). Separating proximal and distal luminal samples proved more challenging (AUC = 0.599), and specific microbiota that differentiated the two were hard to identify. By sampling the unprepped colon, we identified distinct bacterial populations native to the proximal and distal sides. Further investigation of these bacteria may elucidate if and how these groups contribute to different disease processes on their respective sides of the colon. .
微生物组与结直肠癌和炎症性肠病的发展有关。这些疾病的具体特征沿着消化道轴变化。此外,肠道微生物组结构的变化与这两种疾病都有关。我们对健康近端和远端黏膜及腔的微生物组进行了分析,以更好地了解细菌种群如何沿着结肠发生变化。我们使用双结肠镜方法从 20 名未接受任何肠道准备程序的健康受试者的结肠中采集近端和远端黏膜及腔内容物。对活检和家庭收集的粪便进行 16S rRNA 基因测序,并使用分类群丰度和位置构建随机森林分类模型,以确定每个部位特有的微生物组。与我们考虑的每个受试者的五个部位中的其他四个部位相比,右侧黏膜和腔具有最相似的群落结构。远端黏膜的 和 相对丰度较高。近端黏膜中 和 的属较多。当将黏膜样本分类为近端或远端时,分类模型的性能良好(AUC = 0.808)。将近端和远端腔样本分开证明更具挑战性(AUC = 0.599),并且难以识别区分两者的特定微生物组。通过对未准备的结肠进行采样,我们确定了固有存在于近端和远端的不同细菌种群。进一步研究这些细菌可能阐明这些群体是否以及如何在结肠的相应侧参与不同的疾病过程。