Stability in metabolic phenotypes and inferred metagenome profiles before the onset of colitis-induced inflammation

被引:15
作者
Glymenaki, M. [1 ]
Barnes, A. [2 ]
Hagan, S. O' [3 ,4 ]
Warhurst, G. [5 ,6 ]
McBain, A. J. [1 ]
Wilson, I. D. [7 ]
Kell, D. B. [3 ,4 ]
Else, K. J. [1 ]
Cruickshank, S. M. [1 ]
机构
[1] Univ Manchester, Fac Biol Med & Hlth, Manchester, Lancs, England
[2] Shimadzu Co Ltd, Manchester, Lancs, England
[3] Univ Manchester, Sch Chem, Manchester, Lancs, England
[4] Univ Manchester, Manchester Inst Biotechnol, Manchester, Lancs, England
[5] Univ Manchester, Infect Injury & Inflammat Res Grp, Div Med & Neurosci, Salford, Lancs, England
[6] Salford Royal Hosp NHS Trust, Salford, Lancs, England
[7] Imperial Coll, Div Computat & Syst Med, Sect Biomol Med, Dept Surg & Canc, London, England
基金
英国生物技术与生命科学研究理事会;
关键词
BOWEL-DISEASE; GUT MICROBIOME; ULCERATIVE-COLITIS; MOUSE MODEL; GENE; DEFICIENT; SERUM; HOST; MICE; MDR1A;
D O I
10.1038/s41598-017-08732-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Inflammatory bowel disease (IBD) is associated with altered microbiota composition and metabolism, but it is unclear whether these changes precede inflammation or are the result of it since current studies have mainly focused on changes after the onset of disease. We previously showed differences in mucus gut microbiota composition preceded colitis-induced inflammation and stool microbial differences only became apparent at colitis onset. In the present study, we aimed to investigate whether microbial dysbiosis was associated with differences in both predicted microbial gene content and endogenous metabolite profiles. We examined the functional potential of mucus and stool microbial communities in the mdr1a(-/-) mouse model of colitis and littermate controls using PICRUSt on 16S rRNA sequencing data. Our findings indicate that despite changes in microbial composition, microbial functional pathways were stable before and during the development of mucosal inflammation. LC-MS- based metabolic phenotyping (metabotyping) in urine samples confirmed that metabolite profiles in mdr1a(-/-) mice were remarkably unaffected by development of intestinal inflammation and there were no differences in previously published metabolic markers of IBD. Metabolic profiles did, however, discriminate the colitis-prone mdr1a(-/-) genotype from controls. Our results indicate resilience of the metabolic network irrespective of inflammation. Importantly as metabolites differentiated genotype, genotype-differentiating metabolites could potentially predict IBD risk.
引用
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页数:10
相关论文
共 61 条
[1]   Discovery of exposure markers in urine for Brassica-containing meals served with different protein sources by UPLC-qTOF-MS untargeted metabolomics [J].
Andersen, Maj-Britt Schmidt ;
Reinbach, Helene Christine ;
Rinnan, Asmund ;
Barri, Thaer ;
Mithril, Charlotte ;
Dragsted, Lars Ove .
METABOLOMICS, 2013, 9 (05) :984-997
[2]   Multidrug resistance 1 gene in inflammatory bowel disease: A meta-analysis [J].
Annese, V. ;
Valvano, M. R. ;
Palmieri, O. ;
Latiano, A. ;
Bossa, F. ;
Andriulli, A. .
WORLD JOURNAL OF GASTROENTEROLOGY, 2006, 12 (23) :3636-3644
[3]   Partial least squares for discrimination [J].
Barker, M ;
Rayens, W .
JOURNAL OF CHEMOMETRICS, 2003, 17 (03) :166-173
[4]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[5]   KNIME:: The Konstanz Information Miner [J].
Berthold, Michael R. ;
Cebron, Nicolas ;
Dill, Fabian ;
Gabriel, Thomas R. ;
Koetter, Tobias ;
Meinl, Thorsten ;
Ohl, Peter ;
Sieb, Christoph ;
Thiel, Kilian ;
Wiswedel, Bernd .
DATA ANALYSIS, MACHINE LEARNING AND APPLICATIONS, 2008, :319-326
[6]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[7]   QIIME allows analysis of high-throughput community sequencing data [J].
Caporaso, J. Gregory ;
Kuczynski, Justin ;
Stombaugh, Jesse ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
Costello, Elizabeth K. ;
Fierer, Noah ;
Pena, Antonio Gonzalez ;
Goodrich, Julia K. ;
Gordon, Jeffrey I. ;
Huttley, Gavin A. ;
Kelley, Scott T. ;
Knights, Dan ;
Koenig, Jeremy E. ;
Ley, Ruth E. ;
Lozupone, Catherine A. ;
McDonald, Daniel ;
Muegge, Brian D. ;
Pirrung, Meg ;
Reeder, Jens ;
Sevinsky, Joel R. ;
Tumbaugh, Peter J. ;
Walters, William A. ;
Widmann, Jeremy ;
Yatsunenko, Tanya ;
Zaneveld, Jesse ;
Knight, Rob .
NATURE METHODS, 2010, 7 (05) :335-336
[8]   Metabolic Alterations to the Mucosal Microbiota in Inflammatory Bowel Disease [J].
Davenport, Michael ;
Poles, Jordan ;
Leung, Jacqueline M. ;
Wolff, Martin J. ;
Abidi, Wasif M. ;
Ullman, Thomas ;
Mayer, Lloyd ;
Cho, Ilseung ;
Loke, P'ng .
INFLAMMATORY BOWEL DISEASES, 2014, 20 (04) :723-731
[9]   Serum and urine metabolomic fingerprinting in diagnostics of inflammatory bowel diseases [J].
Dawiskiba, Tomasz ;
Deja, Stanislaw ;
Mulak, Agata ;
Zabek, Adam ;
Jawien, Ewa ;
Pawelka, Dorota ;
Banasik, Miroslaw ;
Mastalerz-Migas, Agnieszka ;
Balcerzak, Waldemar ;
Kaliszewski, Krzysztof ;
Skora, Jan ;
Barc, Piotr ;
Korta, Krzysztof ;
Pormanczuk, Kornel ;
Szyber, Przemyslaw ;
Litarski, Adam ;
Mlynarz, Piotr .
WORLD JOURNAL OF GASTROENTEROLOGY, 2014, 20 (01) :163-174
[10]  
De Preter Vicky, 2013, World J Gastrointest Pharmacol Ther, V4, P97, DOI 10.4292/wjgpt.v4.i4.97