Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome

Arnau Vich Vila; Floris Imhann; Valerie Collij; Soesma A Jankipersadsing; Thomas Gurry; Zlatan Mujagic; Alexander Kurilshikov; Marc Jan Bonder; Xiaofang Jiang; Ettje F Tigchelaar; Jackie Dekens; Vera Peters; Michiel D Voskuil; Marijn C Visschedijk; Hendrik M van Dullemen; Daniel Keszthelyi; Morris A Swertz; Lude Franke; Rudi Alberts; Eleonora A M Festen; Gerard Dijkstra; Ad A M Masclee; Marten H Hofker; Ramnik J Xavier; Eric J Alm; Jingyuan Fu; Cisca Wijmenga; Daisy M A E Jonkers; Alexandra Zhernakova; Rinse K Weersma

doi:10.1126/scitranslmed.aap8914

Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome

Arnau Vich Vila, Floris Imhann, Valerie Collij, Soesma A Jankipersadsing, Thomas Gurry, Zlatan Mujagic, Alexander Kurilshikov, Marc Jan Bonder, Xiaofang Jiang, Ettje F Tigchelaar, Jackie Dekens, Vera Peters, Michiel D Voskuil, Marijn C Visschedijk, Hendrik M van Dullemen, Daniel Keszthelyi, Morris A Swertz, Lude Franke, Rudi Alberts, Eleonora A M FestenGerard Dijkstra, Ad A M Masclee, Marten H Hofker, Ramnik J Xavier, Eric J Alm, Jingyuan Fu, Cisca Wijmenga, Daisy M A E Jonkers, Alexandra Zhernakova, Rinse K Weersma

Onderzoeksoutput › Academic › peer review

226 Citaten (Scopus)

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Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.

Originele taal-2	English
Aantal pagina's	12
Tijdschrift	Science Translational Medicine
Volume	10
Nummer van het tijdschrift	472
DOI's	https://doi.org/10.1126/scitranslmed.aap8914
Status	Published - 19-dec.-2018

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Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome
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Vich Vila, A., Imhann, F., Collij, V., Jankipersadsing, S. A., Gurry, T., Mujagic, Z., Kurilshikov, A., Bonder, M. J., Jiang, X., Tigchelaar, E. F., Dekens, J., Peters, V., Voskuil, M. D., Visschedijk, M. C., van Dullemen, H. M., Keszthelyi, D., Swertz, M. A., Franke, L., Alberts, R., ... Weersma, R. K. (2018). Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome. Science Translational Medicine, 10(472). https://doi.org/10.1126/scitranslmed.aap8914

@article{dfe567baeaad40aaa4548d8eb6ef56df,

title = "Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome",

abstract = "Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.",

keywords = "MARKERS, IRON, RESISTANCE, IDENTIFICATION, INTESTINE, ALIGNMENT",

author = "{Vich Vila}, Arnau and Floris Imhann and Valerie Collij and Jankipersadsing, {Soesma A} and Thomas Gurry and Zlatan Mujagic and Alexander Kurilshikov and Bonder, {Marc Jan} and Xiaofang Jiang and Tigchelaar, {Ettje F} and Jackie Dekens and Vera Peters and Voskuil, {Michiel D} and Visschedijk, {Marijn C} and {van Dullemen}, {Hendrik M} and Daniel Keszthelyi and Swertz, {Morris A} and Lude Franke and Rudi Alberts and Festen, {Eleonora A M} and Gerard Dijkstra and Masclee, {Ad A M} and Hofker, {Marten H} and Xavier, {Ramnik J} and Alm, {Eric J} and Jingyuan Fu and Cisca Wijmenga and Jonkers, {Daisy M A E} and Alexandra Zhernakova and Weersma, {Rinse K}",

note = "Copyright {\textcopyright} 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.",

year = "2018",

month = dec,

day = "19",

doi = "10.1126/scitranslmed.aap8914",

language = "English",

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Vich Vila, A , Imhann, F , Collij, V , Jankipersadsing, SA, Gurry, T, Mujagic, Z, Kurilshikov, A , Bonder, MJ, Jiang, X, Tigchelaar, EF, Dekens, J, Peters, V, Voskuil, MD , Visschedijk, MC , van Dullemen, HM, Keszthelyi, D, Swertz, MA , Franke, L, Alberts, R, Festen, EAM , Dijkstra, G, Masclee, AAM, Hofker, MH, Xavier, RJ, Alm, EJ, Fu, J , Wijmenga, C, Jonkers, DMAE, Zhernakova, A & Weersma, RK 2018, 'Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome', Science Translational Medicine, vol. 10, nr. 472. https://doi.org/10.1126/scitranslmed.aap8914

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T1 - Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome

AU - Vich Vila, Arnau

AU - Imhann, Floris

AU - Collij, Valerie

AU - Jankipersadsing, Soesma A

AU - Gurry, Thomas

AU - Mujagic, Zlatan

AU - Kurilshikov, Alexander

AU - Bonder, Marc Jan

AU - Jiang, Xiaofang

AU - Tigchelaar, Ettje F

AU - Dekens, Jackie

AU - Peters, Vera

AU - Voskuil, Michiel D

AU - Visschedijk, Marijn C

AU - van Dullemen, Hendrik M

AU - Keszthelyi, Daniel

AU - Swertz, Morris A

AU - Franke, Lude

AU - Alberts, Rudi

AU - Festen, Eleonora A M

AU - Dijkstra, Gerard

AU - Masclee, Ad A M

AU - Hofker, Marten H

AU - Xavier, Ramnik J

AU - Alm, Eric J

AU - Fu, Jingyuan

AU - Wijmenga, Cisca

AU - Jonkers, Daisy M A E

AU - Zhernakova, Alexandra

AU - Weersma, Rinse K

PY - 2018/12/19

Y1 - 2018/12/19

N2 - Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.

AB - Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.

KW - MARKERS

KW - IRON

KW - RESISTANCE

KW - IDENTIFICATION

KW - INTESTINE

KW - ALIGNMENT

U2 - 10.1126/scitranslmed.aap8914

DO - 10.1126/scitranslmed.aap8914

M3 - Article

C2 - 30567928

SN - 1946-6234

VL - 10

JO - Science Translational Medicine

JF - Science Translational Medicine

IS - 472

ER -