Characterization of Microbiota in Children with Chronic Functional Constipation
Disruption of the intestinal microbiota is considered an etiological factor in pediatric functional constipation. Scientifically based selection of potential beneficial probiotic strains in functional constipation therapy is not feasible due to insufficient knowledge of microbiota composition in aff...
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Published in | PloS one Vol. 11; no. 10; p. e0164731 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
19.10.2016
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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Summary: | Disruption of the intestinal microbiota is considered an etiological factor in pediatric functional constipation. Scientifically based selection of potential beneficial probiotic strains in functional constipation therapy is not feasible due to insufficient knowledge of microbiota composition in affected subjects. The aim of this study was to describe microbial composition and diversity in children with functional constipation, compared to healthy controls.
Fecal samples from 76 children diagnosed with functional constipation according to the Rome III criteria (median age 8.0 years; range 4.2-17.8) were analyzed by IS-pro, a PCR-based microbiota profiling method. Outcome was compared with intestinal microbiota profiles of 61 healthy children (median 8.6 years; range 4.1-17.9). Microbiota dissimilarity was depicted by principal coordinate analysis (PCoA), diversity was calculated by Shannon diversity index. To determine the most discriminative species, cross validated logistic ridge regression was performed.
Applying total microbiota profiles (all phyla together) or per phylum analysis, no disease-specific separation was observed by PCoA and by calculation of diversity indices. By ridge regression, however, functional constipation and controls could be discriminated with 82% accuracy. Most discriminative species were Bacteroides fragilis, Bacteroides ovatus, Bifidobacterium longum, Parabacteroides species (increased in functional constipation) and Alistipes finegoldii (decreased in functional constipation).
None of the commonly used unsupervised statistical methods allowed for microbiota-based discrimination of children with functional constipation and controls. By ridge regression, however, both groups could be discriminated with 82% accuracy. Optimization of microbiota-based interventions in constipated children warrants further characterization of microbial signatures linked to clinical subgroups of functional constipation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: P.H.M Savelkoul and A.E. Budding have proprietary rights on the IS-pro platform technology (patent ‘Microbial population analysis’, WO2008/125365) and are co-founders of a spin-off company developing this technique into a clinical diagnostic product. This patent is only related to the microbiota profiling technique IS-pro. This does not alter our adherence to all PLOS ONE policies on sharing data and materials. Conceptualization: TGJDM EFJDG AEB MAB PHMS. Data curation: AEB AE. Formal analysis: TGJDM EFJDG AEB AE. Investigation: TGJDM EFJDG MAB. Methodology: TGJDM AEB AAVB MAB PHMS. Resources: AEB PHMS. Software: AEB AE PHMS. Supervision: AAVB CMFK PHMS. Validation: TGJDM EFJDG AEB. Visualization: TGJDM EFJDG AEB AE. Writing – original draft: TGJDM EFGDG. Writing – review & editing: AEB AE AAVB CMFK MAB PHMS. |
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0164731 |