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Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease

BACKGROUND: Pediatric inflammatory bowel disease (IBD) is challenging to diagnose because of the non-specificity of symptoms; an unequivocal diagnosis can only be made using colonoscopy, which clinicians are reluctant to recommend for children. Diagnosis of pediatric IBD is therefore frequently dela...

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Autores principales: Papa, Eliseo, Docktor, Michael, Smillie, Christopher, Weber, Sarah, Preheim, Sarah P., Gevers, Dirk, Giannoukos, Georgia, Ciulla, Dawn, Tabbaa, Diana, Ingram, Jay, Schauer, David B., Ward, Doyle V., Korzenik, Joshua R., Xavier, Ramnik J., Bousvaros, Athos, Alm, Eric J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3387146/
https://www.ncbi.nlm.nih.gov/pubmed/22768065
http://dx.doi.org/10.1371/journal.pone.0039242
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author Papa, Eliseo
Docktor, Michael
Smillie, Christopher
Weber, Sarah
Preheim, Sarah P.
Gevers, Dirk
Giannoukos, Georgia
Ciulla, Dawn
Tabbaa, Diana
Ingram, Jay
Schauer, David B.
Ward, Doyle V.
Korzenik, Joshua R.
Xavier, Ramnik J.
Bousvaros, Athos
Alm, Eric J.
author_facet Papa, Eliseo
Docktor, Michael
Smillie, Christopher
Weber, Sarah
Preheim, Sarah P.
Gevers, Dirk
Giannoukos, Georgia
Ciulla, Dawn
Tabbaa, Diana
Ingram, Jay
Schauer, David B.
Ward, Doyle V.
Korzenik, Joshua R.
Xavier, Ramnik J.
Bousvaros, Athos
Alm, Eric J.
author_sort Papa, Eliseo
collection PubMed
description BACKGROUND: Pediatric inflammatory bowel disease (IBD) is challenging to diagnose because of the non-specificity of symptoms; an unequivocal diagnosis can only be made using colonoscopy, which clinicians are reluctant to recommend for children. Diagnosis of pediatric IBD is therefore frequently delayed, leading to inappropriate treatment plans and poor outcomes. We investigated the use of 16S rRNA sequencing of fecal samples and new analytical methods to assess differences in the microbiota of children with IBD and other gastrointestinal disorders. METHODOLOGY/PRINCIPAL FINDINGS: We applied synthetic learning in microbial ecology (SLiME) analysis to 16S sequencing data obtained from i) published surveys of microbiota diversity in IBD and ii) fecal samples from 91 children and young adults who were treated in the gastroenterology program of Children’s Hospital (Boston, USA). The developed method accurately distinguished control samples from those of patients with IBD; the area under the receiver-operating-characteristic curve (AUC) value was 0.83 (corresponding to 80.3% sensitivity and 69.7% specificity at a set threshold). The accuracy was maintained among data sets collected by different sampling and sequencing methods. The method identified taxa associated with disease states and distinguished patients with Crohn’s disease from those with ulcerative colitis with reasonable accuracy. The findings were validated using samples from an additional group of 68 patients; the validation test identified patients with IBD with an AUC value of 0.84 (e.g. 92% sensitivity, 58.5% specificity). CONCLUSIONS/SIGNIFICANCE: Microbiome-based diagnostics can distinguish pediatric patients with IBD from patients with similar symptoms. Although this test can not replace endoscopy and histological examination as diagnostic tools, classification based on microbial diversity is an effective complementary technique for IBD detection in pediatric patients.
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spelling pubmed-33871462012-07-05 Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease Papa, Eliseo Docktor, Michael Smillie, Christopher Weber, Sarah Preheim, Sarah P. Gevers, Dirk Giannoukos, Georgia Ciulla, Dawn Tabbaa, Diana Ingram, Jay Schauer, David B. Ward, Doyle V. Korzenik, Joshua R. Xavier, Ramnik J. Bousvaros, Athos Alm, Eric J. PLoS One Research Article BACKGROUND: Pediatric inflammatory bowel disease (IBD) is challenging to diagnose because of the non-specificity of symptoms; an unequivocal diagnosis can only be made using colonoscopy, which clinicians are reluctant to recommend for children. Diagnosis of pediatric IBD is therefore frequently delayed, leading to inappropriate treatment plans and poor outcomes. We investigated the use of 16S rRNA sequencing of fecal samples and new analytical methods to assess differences in the microbiota of children with IBD and other gastrointestinal disorders. METHODOLOGY/PRINCIPAL FINDINGS: We applied synthetic learning in microbial ecology (SLiME) analysis to 16S sequencing data obtained from i) published surveys of microbiota diversity in IBD and ii) fecal samples from 91 children and young adults who were treated in the gastroenterology program of Children’s Hospital (Boston, USA). The developed method accurately distinguished control samples from those of patients with IBD; the area under the receiver-operating-characteristic curve (AUC) value was 0.83 (corresponding to 80.3% sensitivity and 69.7% specificity at a set threshold). The accuracy was maintained among data sets collected by different sampling and sequencing methods. The method identified taxa associated with disease states and distinguished patients with Crohn’s disease from those with ulcerative colitis with reasonable accuracy. The findings were validated using samples from an additional group of 68 patients; the validation test identified patients with IBD with an AUC value of 0.84 (e.g. 92% sensitivity, 58.5% specificity). CONCLUSIONS/SIGNIFICANCE: Microbiome-based diagnostics can distinguish pediatric patients with IBD from patients with similar symptoms. Although this test can not replace endoscopy and histological examination as diagnostic tools, classification based on microbial diversity is an effective complementary technique for IBD detection in pediatric patients. Public Library of Science 2012-06-29 /pmc/articles/PMC3387146/ /pubmed/22768065 http://dx.doi.org/10.1371/journal.pone.0039242 Text en Papa et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Papa, Eliseo
Docktor, Michael
Smillie, Christopher
Weber, Sarah
Preheim, Sarah P.
Gevers, Dirk
Giannoukos, Georgia
Ciulla, Dawn
Tabbaa, Diana
Ingram, Jay
Schauer, David B.
Ward, Doyle V.
Korzenik, Joshua R.
Xavier, Ramnik J.
Bousvaros, Athos
Alm, Eric J.
Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease
title Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease
title_full Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease
title_fullStr Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease
title_full_unstemmed Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease
title_short Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease
title_sort non-invasive mapping of the gastrointestinal microbiota identifies children with inflammatory bowel disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3387146/
https://www.ncbi.nlm.nih.gov/pubmed/22768065
http://dx.doi.org/10.1371/journal.pone.0039242
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