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Updated: Jun 8, 2026

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children
Published on: December 31, 2017
Gut microbiota analysis in pediatric-onset multiple sclerosis compared to pediatric monophasic demyelinating
Arlette L Bruijstens1, Sandy Molenaar1, Yu Yi M Wong1
1Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Insights
This study found no significant differences in gut microbiota composition between pediatric multiple sclerosis (MS) patients and controls. However, body mass index (BMI) was associated with gut microbiota variations in children.
Area of Science:
- Microbiome research
- Pediatric neurology
- Immunology
Background:
- Gut microbiota dysbiosis is implicated in proinflammatory conditions contributing to multiple sclerosis (MS) etiology.
- Pediatric-onset MS (OMS) offers a unique window into early disease mechanisms due to minimal confounder exposure.
- Investigating the gut microbiome in pediatric OMS is crucial for understanding disease pathogenesis.
Purpose of the Study:
- To investigate gut microbiota composition and functional pathways in pediatric-onset MS.
- To compare gut microbiota between pediatric-onset MS, monophasic acquired demyelinating syndromes (mADS), and healthy controls (HCs).
- To identify potential microbial biomarkers or alterations associated with early MS development.
Main Methods:
- Analysis of gut microbiota composition (16S rRNA gene sequencing) and predicted functional pathways (MetaCyc) in pediatric participants (<18 years).
- Comparison of alpha/beta diversity and individual microbe abundance across pediatric-onset MS, mADS, and HC groups.
- Statistical testing using nonparametric tests, PERMANOVA, and linear regression to identify significant differences.
Main Results:
- No significant differences in alpha/beta diversity or microbial functional features were observed between pediatric-onset MS, mADS, and HC groups.
- Body mass index (BMI) was significantly associated with gut microbiota variations, including lower alpha diversity and altered beta diversity in obese children.
- Obesity was linked to a higher abundance of specific microbes and functional pathways, independent of MS status.
Conclusions:
- The study could not validate previous findings on gut microbiota composition and function in pediatric-onset MS using a sensitive 16S rRNA pipeline.
- Limitations included sample size and the use of disease-modifying therapies (DMTs) in the pediatric MS cohort.
- Host-related factors, particularly BMI, demonstrated a notable association with gut microbiota variations in the studied pediatric population.
Background And Purpose:
Gut microbiota dysbiosis may lead to proinflammatory conditions contributing to multiple sclerosis (MS) etiology. Pediatric-onset MS patients are close to biological disease onset and less exposed to confounders. Therefore, this study investigated gut microbiota composition and functional pathways in pediatric-onset MS, compared to monophasic acquired demyelinating syndromes (mADS) and healthy controls (HCs).
Methods:
Pediatric participants were selected from the Dutch national prospective cohort study including ADS patients and HCs <18 years old. Amplicon sequence variants (ASVs) were generated from sequencing the V3/4 regions of the 16S rRNA gene. Functional MetaCyc microbial pathways were predicted based on Enzyme Commission numbers. Gut microbiota composition (alpha/beta diversity and individual microbe abundance at ASV to phylum level) and predicted functional pathways were tested using nonparametric tests, permutational multivariate analysis of variance, and linear regression.
Results:
Twenty-six pediatric-onset MS (24 with disease-modifying therapy [DMT]), 25 mADS, and 24 HC subjects were included. Alpha/beta diversity, abundance of individual resident microbes, and microbial functional features were not different between these participant groups. Body mass index (BMI) showed significant differences, with obese children having a lower alpha diversity (Chao1 Index p = 0.015, Shannon/Simpson Diversity Index p = 0.014/p = 0.023), divergent beta diversity (R2 = 3.7%, p = 0.013), and higher abundance of numerous individual resident microbes and functional microbial pathways.
Conclusions:
Previous results of gut microbiota composition and predicted functional features could not be validated in this Dutch pediatric-onset MS cohort using a more sensitive 16S pipeline, although it was limited by sample size and DMT use. Notably, several other host-related factors were found to associate with gut microbiota variation, especially BMI.
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Introduction to the Human Microbiota
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