Characterization of Microbiota in Children with Chronic Functional Constipation

Area of Science:

• Microbiology
• Pediatric Gastroenterology
• Bioinformatics

Background:

• Intestinal microbiota disruption is implicated in pediatric functional constipation (FC).
• Understanding the specific microbial composition in FC is crucial for developing targeted probiotic therapies.
• Current knowledge gaps hinder scientifically-based selection of beneficial probiotic strains for FC.

Purpose of the Study:

• To characterize and compare the microbial composition and diversity in children with FC versus healthy controls.
• To identify specific microbial signatures associated with functional constipation in pediatric populations.

Main Methods:

• Fecal samples from 76 children with FC (Rome III criteria) and 61 healthy children were analyzed using IS-pro, a PCR-based microbiota profiling method.
• Microbiota dissimilarity was assessed using principal coordinate analysis (PCoA) and Shannon diversity index.
• Cross-validated logistic ridge regression was employed to identify discriminative microbial species.

Main Results:

• Unsupervised methods (PCoA, Shannon diversity) did not reveal significant differences in overall microbiota profiles or diversity between FC and control groups.
• Logistic ridge regression achieved 82% accuracy in discriminating between children with FC and healthy controls.
• Specific species, including increased Bacteroides fragilis, Bacteroides ovatus, Bifidobacterium longum, Parabacteroides spp., and decreased Alistipes finegoldii, were identified as discriminative markers for FC.

Conclusions:

• Standard statistical methods are insufficient for discriminating FC from healthy controls based on microbiota profiles.
• Advanced regression techniques can accurately differentiate between constipated children and controls using microbial signatures.
• Further research is needed to characterize microbial signatures linked to clinical subgroups of FC to optimize microbiota-based interventions.