The Microleaks study: 16S community profile and metagenomic shotgun sequencing signatures associated with anastomotic leak

Author:

Hoedt Emily C.,Carroll Georgia,Stephensen Bree,Togher Katie,Morrison Mark,Vishnoi Veral,Makanyengo Samwel,Draganic Brian,McManus Brendan,Clarke Louise,Shah Kalpesh,Smith Stephen R.,Talley Nicholas J.,Keely Simon,Pockney Peter

Abstract

AbstractAnastomotic leaks (AL) are the most severe complications of colorectal surgery. The cause of AL is unclear, but recent studies have implicated the intestinal microbiota in its development. We aimed to determine whether there is an identifiable microbial pattern in the mucosal microbiota associated with AL. A pragmatic series of 162 patients undergoing colorectal resection with anastomosis had swabs taken from the proximal and distal mucosa of the bowel resection immediately after the tissue was excised. DNA was extracted for 16S rRNA amplicon gene sequencing and a subset for metagenomic shotgun sequencing (MGS). The AL rate in the cohort was approximately 15% (25/162). The alpha diversity measures from the intraoperative swabs were all significantly increased for AL, and there were significant differences in the beta diversity measures for AL from both the 16S and MGS datasets. The predictive power of AL was more sensitive when both proximal and distal communities were considered, and the species-level classifier AUC-ROC was stronger for the MGS dataset than for the 16S data (AUC = 0.92 and 0.76, respectively). We also report, for the first time, the functional changes in intraoperative AL microbes and noted an increase in the relative abundance of pathways with fermentation end products. This result was also found in our murine model of anastomoses (n = 20). At the time of surgery, the mucosal microbiota of the anastomotic extremities exhibits subtle differences at the species level and altered fermentation capacity, which may be associated with AL outcomes. A greater understanding of these insights could improve AL prognosis and preoperative management to reduce the occurrence of this life-threatening condition.

Funder

Cancer Institute NSW

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3