Gastrointestinal Microbiome Signatures of Pediatric Patients With Irritable Bowel Syndrome

被引:552
作者
Saulnier, Delphine M. [2 ,3 ,4 ]
Riehle, Kevin [5 ,6 ]
Mistretta, Toni-Ann [2 ,3 ]
Diaz, Maria-Alejandra [2 ,3 ]
Mandal, Debasmita [7 ]
Raza, Sabeen [2 ,3 ]
Weidler, Erica M. [8 ,9 ]
Qin, Xiang [10 ]
Coarfa, Cristian [5 ,6 ]
Milosavljevic, Aleksandar [5 ,6 ]
Petrosino, Joseph F. [10 ,11 ,12 ]
Highlander, Sarah [10 ,11 ]
Gibbs, Richard [10 ]
Lynch, Susan V. [7 ]
Shulman, Robert J. [8 ,9 ]
Versalovic, James [1 ,2 ,3 ,5 ,8 ,11 ]
机构
[1] Texas Childrens Hosp, Feigin Ctr, Dept Pathol, Houston, TX 77030 USA
[2] Baylor Coll Med, Dept Pathol, Houston, TX 77030 USA
[3] Baylor Coll Med, Dept Immunol, Houston, TX 77030 USA
[4] NIZO, Ede, Netherlands
[5] Baylor Coll Med, Dept Mol & Human Genet, Houston, TX 77030 USA
[6] Baylor Coll Med, Bioinformat Res Lab, Houston, TX 77030 USA
[7] Univ Calif San Francisco, Dept Med, San Francisco, CA USA
[8] Baylor Coll Med, Dept Pediat, Houston, TX 77030 USA
[9] Childrens Nutr Res Ctr, Houston, TX USA
[10] Baylor Coll Med, Human Genome Sequencing Ctr, Houston, TX 77030 USA
[11] Baylor Coll Med, Dept Mol Virol & Microbiol, Houston, TX 77030 USA
[12] Baylor Coll Med, Ctr Metagen & Microbiome Res, Houston, TX 77030 USA
关键词
16S rRNA; Functional Abdominal Pain; PhyloChip; 454; Sequencing; RECURRENT ABDOMINAL-PAIN; BACTERIAL OVERGROWTH; CHILDREN; SYMPTOMS; INFLAMMATION; HYPOTHESIS; PROBIOTICS; DISORDERS; THERAPY;
D O I
10.1053/j.gastro.2011.06.072
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
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.
引用
收藏
页码:1782 / 1791
页数:10
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