4.8 Article

Gastrointestinal Microbiome Signatures of Pediatric Patients With Irritable Bowel Syndrome

Journal

GASTROENTEROLOGY
Volume 141, Issue 5, Pages 1782-1791

Publisher

W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1053/j.gastro.2011.06.072

Keywords

16S rRNA; Functional Abdominal Pain; PhyloChip; 454 Sequencing

Funding

  1. Biogaia AB
  2. National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK) [R01 DK065075, P30 DK56338]
  3. National Center for Complementary and Alternative Medicine (NCCAM) from the National Institute of Health (NIH) [UH2 DK083990-01, UH3 DK083990-02]
  4. NIH National Center for Complementary and Alternative Medicine [R01 AT004326, R21 AT003102]
  5. NHGRI [5U54 HG003273-08]
  6. Rainin Foundation

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BACKGROUND & AIMS: The intestinal microbiomes of healthy children and pediatric patients with irritable bowel syndrome (IBS) are not well defined. Studies in adults have indicated that the gastrointestinal microbiota could be involved in IBS. METHODS: We analyzed 71 samples from 22 children with IBS (pediatric Rome III criteria) and 22 healthy children, ages 7-12 years, by 16S ribosomal RNA gene sequencing, with an average of 54,287 reads/stool sample (average 454 read length = 503 bases). Data were analyzed using phylogenetic-based clustering (Unifrac), or an operational taxonomic unit (OTU) approach using a supervised machine learning tool (randomForest). Most samples were also hybridized to a microarray that can detect 8741 bacterial taxa (16S rRNA PhyloChip). RESULTS: Microbiomes associated with pediatric IBS were characterized by a significantly greater percentage of the class gamma-proteobacteria (0.07% vs 0.89% of total bacteria, respectively; P<.05); 1 prominent component of this group was Haemophilus parainfluenzae. Differences highlighted by 454 sequencing were confirmed by high-resolution PhyloChip analysis. Using supervised learning techniques, we were able to classify different subtypes of IBS with a success rate of 98.5%, using limited sets of discriminant bacterial species. A novel Ruminococcus-like microbe was associated with IBS, indicating the potential utility of microbe discovery for gastrointestinal disorders. A greater frequency of pain correlated with an increased abundance of several bacterial taxa from the genus Alistipes. CONCLUSIONS: Using16S metagenomics by PhyloChip DNA hybridization and deep 454 pyrosequencing, we associated specific microbiome signatures with pediatric IBS. These findings indicate the important association between gastrointestinal microbes and IBS in children; these approaches might be used in diagnosis of functional bowel disorders in pediatric patients.

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