0      0

eSymposia | The Microbiome: From Mother to Child


Functional analysis of the pediatric multiple sclerosis microbiome


Jan 18, 2021 12:00am ‐ Jan 18, 2021 12:00am

Description

Functional analysis of the pediatric multiple sclerosis microbiome Ali Mirza1, Feng Zhu1, Natalie Knox2, Jessica D Forbes2,3, Gary Van Domselaar2, Charles Bernstein4, Morag Graham2, Ruth Ann Marrie4, Janace Hart5, E. Ann Yeh3, Amit Bar-Or6, Julia O’Mahony3, William Hsiao1, Brenda Banwell6, Emmanuelle Waubant5, Helen Tremlett1 1University of British Columbia, School of Medicine, Vancouver, Canada, 2Public Health Agency of Canada, National Microbiology Laboratory, Winnipeg, Canada, 3University of Toronto, School of Medicine, Toronto, Canada, 4 University of Manitoba, School of Medicine, Winnipeg, Canada, 5University of California, San Francisco, School of Medicine, San Francisco, CA, 6University of Pennsylvania, School of Medicine, Philadelphia, PA Objective: Metagenomic sequencing reveals the functional potential of the Multiple Sclerosis (MS) gut microbiome. We examined the gut microbiome functional potential by metagenomic analysis of stool samples from pediatric MS cases and controls. Methods: Persons ≤21 years old enrolled in the Canadian Pediatric Demyelinating Disease Network who provided a stool sample were included for study. Twenty MS cases were matched to 20 non-affected controls by sex, age (± 3 years), stool consistency (Bristol Stool Scale, BSS) and, when possible, by race. Shotgun metagenomic reads were generated using the Illumina NextSeq platform and assembled using MEGAHIT. Metabolic pathway analysis was used to compare the gut microbiome between cases and controls, as well as cases by DMD status. Gene ontology classifications were used to assess α-diversity and differential abundance analyses (based on the negative binomial distribution). Results: The MS cases were aged 13.6 mean years at symptom onset. On average, MS cases and controls were 16.1 and 15.4 years old at the time of stool collection and 80% of each group were girls. Eight MS cases were DMD naïve. Richness of gene ontology classifications did not differ by disease status or DMD status (all p>0.4). However, differential analysis of metabolic pathways indicated that the relative abundance of tryptophan degradation (via the kynurenine pathway; LFC 13; 95%CI: 8–19; p

Speaker(s):

You must be logged in and own this session in order to post comments.

Print Certificate
Completed on: token-completed_on
Print Transcript
Please select the appropriate credit type:
/
test_id: 
credits: 
completed on: 
rendered in: 
* - Indicates answer is required.
token-content

token-speaker-name
token-index
token-content
token-index
token-content
token-index
token-content
token-index
token-content
token-index
token-content
token-index
token-content
/
/
token-index
token-content
token-index
token-content