Gut microbiome patterns correlate with higher postoperative complication rates after pancreatic surgery

被引:46
作者
Schmitt, Felix C. F. [1 ]
Brenner, Thorsten [1 ]
Uhle, Florian [1 ]
Loesch, Svenja [1 ]
Hackert, Thilo [2 ]
Ulrich, Alexis [2 ]
Hofer, Stefan [3 ]
Dalpke, Alexander H. [4 ,5 ,6 ]
Weigand, Markus A. [1 ]
Boutin, Sebastien [4 ,5 ]
机构
[1] Heidelberg Univ Hosp, Dept Anesthesiol, 110 Neuenheimer Feld, D-69120 Heidelberg, Germany
[2] Heidelberg Univ Hosp, Dept Gen Visceral & Transplant Surg, Heidelberg, Germany
[3] Kaiserslautern Westpfalz Hosp, Dept Anesthesiol, Kaiserslautern, Germany
[4] Heidelberg Univ Hosp, Dept Infect Dis Med Microbiol & Hyg, Heidelberg, Germany
[5] German Ctr Lung Res DZL, Translat Lung Res Ctr Heidelberg TLRC, Heidelberg, Germany
[6] Tech Univ Dresden, Inst Med Microbiol & Hyg, Dresden, Germany
关键词
Pancreas; Postoperative complications; Gut microbiome; 16S RNA gene sequencing; Inflammation; Sepsis; INTESTINAL MICROBIOTA; SURGICAL COMPLICATIONS; CLASSIFICATION; PROBIOTICS; DIVERSITY;
D O I
10.1186/s12866-019-1399-5
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
BackgroundPostoperative complications are of great relevance in daily clinical practice, and the gut microbiome might play an important role by preventing pathogens from crossing the intestinal barrier. The two aims of this prospective clinical pilot study were: (1) to examine changes in the gut microbiome following pancreatic surgery, and (2) to correlate these changes with the postoperative course of the patient.ResultsIn total, 116 stool samples of 32 patients undergoing pancreatic surgery were analysed by 16S-rRNA gene next-generation sequencing. One sample per patient was collected preoperatively in order to determine the baseline gut microbiome without exposure to surgical stress and/or antibiotic use. At least two further samples were obtained within the first 10days following the surgical procedure to observe longitudinal changes in the gut microbiome. Whenever complications occurred, further samples were examined.Based on the structure of the gut microbiome, the samples could be allocated into three different microbial communities (A, B and C). Community B showed an increase in Akkermansia, Enterobacteriaceae and Bacteroidales as well as a decrease in Lachnospiraceae, Prevotella and Bacteroides. Patients showing a microbial composition resembling community B at least once during the observation period were found to have a significantly higher risk for developing postoperative complications (B vs. A, odds ratio=4.96, p<0.01**; B vs. C, odds ratio=2.89, p=0.019*).ConclusionsThe structure of the gut microbiome is associated with the development of postoperative complications.
引用
收藏
页数:13
相关论文
共 36 条
[1]   Differential expression analysis for sequence count data [J].
Anders, Simon ;
Huber, Wolfgang .
GENOME BIOLOGY, 2010, 11 (10)
[2]   Enterotypes of the human gut microbiome [J].
Arumugam, Manimozhiyan ;
Raes, Jeroen ;
Pelletier, Eric ;
Le Paslier, Denis ;
Yamada, Takuji ;
Mende, Daniel R. ;
Fernandes, Gabriel R. ;
Tap, Julien ;
Bruls, Thomas ;
Batto, Jean-Michel ;
Bertalan, Marcelo ;
Borruel, Natalia ;
Casellas, Francesc ;
Fernandez, Leyden ;
Gautier, Laurent ;
Hansen, Torben ;
Hattori, Masahira ;
Hayashi, Tetsuya ;
Kleerebezem, Michiel ;
Kurokawa, Ken ;
Leclerc, Marion ;
Levenez, Florence ;
Manichanh, Chaysavanh ;
Nielsen, H. Bjorn ;
Nielsen, Trine ;
Pons, Nicolas ;
Poulain, Julie ;
Qin, Junjie ;
Sicheritz-Ponten, Thomas ;
Tims, Sebastian ;
Torrents, David ;
Ugarte, Edgardo ;
Zoetendal, Erwin G. ;
Wang, Jun ;
Guarner, Francisco ;
Pedersen, Oluf ;
de Vos, Willem M. ;
Brunak, Soren ;
Dore, Joel ;
Weissenbach, Jean ;
Ehrlich, S. Dusko ;
Bork, Peer .
NATURE, 2011, 473 (7346) :174-180
[3]   Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data [J].
Asshauer, Kathrin P. ;
Wemheuer, Bernd ;
Daniel, Rolf ;
Meinicke, Peter .
BIOINFORMATICS, 2015, 31 (17) :2882-2884
[4]   Microbes inside-from diversity to function: the case of Akkermansia [J].
Belzer, Clara ;
de Vos, Willem M. .
ISME JOURNAL, 2012, 6 (08) :1449-1458
[5]   Regulation of inflammation by microbiota interactions with the host [J].
Blander, J. Magarian ;
Longman, Randy S. ;
Iliev, Iliyan D. ;
Sonnenberg, Gregory F. ;
Artis, David .
NATURE IMMUNOLOGY, 2017, 18 (08) :851-860
[6]   Antibiotic use and its consequences for the normal microbiome [J].
Blaser, Martin J. .
SCIENCE, 2016, 352 (6285) :544-545
[7]   Regulation of human airway mucins by acrolein and inflammatory mediators [J].
Borchers, MT ;
Carty, MP ;
Leikauf, GD .
AMERICAN JOURNAL OF PHYSIOLOGY-LUNG CELLULAR AND MOLECULAR PHYSIOLOGY, 1999, 276 (04) :L549-L555
[8]   Comparison of Microbiomes from Different Niches of Upper and Lower Airways in Children and Adolescents with Cystic Fibrosis [J].
Boutin, Sebastien ;
Graeber, Simon Y. ;
Weitnauer, Michael ;
Panitz, Jessica ;
Stahl, Mirjam ;
Clausznitzer, Diana ;
Kaderali, Lars ;
Einarsson, Gisli ;
Tunney, Michael M. ;
Elborn, J. Stuart ;
Mall, Marcus A. ;
Dalpke, Alexander H. .
PLOS ONE, 2015, 10 (01)
[9]   Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms [J].
Caporaso, J. Gregory ;
Lauber, Christian L. ;
Walters, William A. ;
Berg-Lyons, Donna ;
Huntley, James ;
Fierer, Noah ;
Owens, Sarah M. ;
Betley, Jason ;
Fraser, Louise ;
Bauer, Markus ;
Gormley, Niall ;
Gilbert, Jack A. ;
Smith, Geoff ;
Knight, Rob .
ISME JOURNAL, 2012, 6 (08) :1621-1624
[10]   The Clavien-Dindo Classification of Surgical Complications Five-Year Experience [J].
Clavien, Pierre A. ;
Barkun, Jeffrey ;
de Oliveira, Michelle L. ;
Vauthey, Jean Nicolas ;
Dindo, Daniel ;
Schulick, Richard D. ;
de Santibanes, Eduardo ;
Pekolj, Juan ;
Slankamenac, Ksenija ;
Bassi, Claudio ;
Graf, Rolf ;
Vonlanthen, Rene ;
Padbury, Robert ;
Cameron, John L. ;
Makuuchi, Masatoshi .
ANNALS OF SURGERY, 2009, 250 (02) :187-196