Premodulator microbiome alterations associated with postmodulator growth outcomes in pediatric cystic fibrosis: Can we predict outcomes?

Author:

Sanville Julie1ORCID,O'Toole George A.2,Madan Juliette345,Coker Modupe456

Affiliation:

1. Department of Pediatrics Division of Pediatric Gastroenterology, Dartmouth Hitchcock Medical Center Lebanon New Hampshire USA

2. Department of Microbiology and Immunology Geisel School of Medicine at Dartmouth Hanover New Hampshire USA

3. Departments of Pediatrics and Psychiatry Division of Child and Adolescent Psychiatry, Dartmouth Hitchcock Medical Center Lebanon New Hampshire USA

4. Department of Epidemiology Geisel School of Medicine at Dartmouth Hanover New Hampshire USA

5. Department of Quantitative Biomedical Data Science Geisel School of Medicine at Dartmouth Hanover New Hampshire USA

6. Department of Oral Biology Rutgers School of Dental Medicine Newark New Jersey USA

Abstract

AbstractObjectivesThe gut microbiota plays an important role in childhood growth. Our longitudinal cohort includes children with cystic fibrosis (CwCF) treated with highly effective modulator therapy. We aimed to elucidate early premodulator microbial signatures associated with postmodulator weight for CwCF later in childhood.MethodsStool samples were collected from CwCF at 13 days to 60 months. Metagenomic sequencing determined differentially abundant taxa. Children with body mass index or weight for length Z‐scores within 1 standard deviation of the mean (SD) were considered normal weight, those >1 SD were classified as risk of overweight while children <1 SD were considered undernourished, although no CwCF met this latter criterion here. Multivariate regression models were applied to identify significant associations between metadata and microbial taxonomic relative abundances.ResultsOne hundred and eighty‐nine stool samples were analyzed from 39 CwCF. We identified statistically significant differences in early microbiome patterns among those at risk of being overweight compared to those who were normal weight when adjusted for age, sex, CF mutation, and early feeding method. Early microbiome was a stronger driver of growth status than current modulator use. Among those at risk of overweight, several taxa that were consistently in lower abundance included Eggerthella lentha, Ruminococcus, Bacteroides, with increase in abundance of Bacteroides stercoris.ConclusionsThe early microbiome strongly predicts growth in the setting of modulator use for CwCF and we identify microbiome signatures associated with risk of being overweight. We highlight the possibility for interventions or early alternations to nutritional guidance for prevention of comorbid complications.

Publisher

Wiley

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