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The gut microbiota in pediatric multiple sclerosis and demyelinating syndromes
by
Yeh, E. Ann
, Bar‐Or, Amit
, Marrie, Ruth Ann
, Banwell, Brenda
, Zhu, Feng
, Mirza, Ali I.
, Forbes, Jessica D.
, O’Mahony, Julia
, Van Domselaar, Gary
, Tremlett, Helen
, Knox, Natalie C.
, Zhao, Yinshan
, Waubant, Emmanuelle
, Arnold, Douglas
, Graham, Morag
, Bernstein, Charles N.
, Hart, Janace
, Bonner, Christine
in
Adolescent
/ Age
/ Antibiotics
/ Body mass index
/ Canada
/ Case-Control Studies
/ Child
/ Child, Preschool
/ Chronic illnesses
/ Cohort Studies
/ Computational Biology
/ Demyelinating Autoimmune Diseases, CNS - microbiology
/ Dietary supplements
/ Disease
/ Female
/ Females
/ Gastrointestinal Microbiome
/ Gut microbiota
/ Humans
/ Inflammatory bowel disease
/ Laboratories
/ Male
/ Metabolism
/ Microbiota
/ Multiple sclerosis
/ Multiple Sclerosis - microbiology
/ Pediatrics
/ Proteins
/ RNA, Ribosomal, 16S
/ Values
2021
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The gut microbiota in pediatric multiple sclerosis and demyelinating syndromes
by
Yeh, E. Ann
, Bar‐Or, Amit
, Marrie, Ruth Ann
, Banwell, Brenda
, Zhu, Feng
, Mirza, Ali I.
, Forbes, Jessica D.
, O’Mahony, Julia
, Van Domselaar, Gary
, Tremlett, Helen
, Knox, Natalie C.
, Zhao, Yinshan
, Waubant, Emmanuelle
, Arnold, Douglas
, Graham, Morag
, Bernstein, Charles N.
, Hart, Janace
, Bonner, Christine
in
Adolescent
/ Age
/ Antibiotics
/ Body mass index
/ Canada
/ Case-Control Studies
/ Child
/ Child, Preschool
/ Chronic illnesses
/ Cohort Studies
/ Computational Biology
/ Demyelinating Autoimmune Diseases, CNS - microbiology
/ Dietary supplements
/ Disease
/ Female
/ Females
/ Gastrointestinal Microbiome
/ Gut microbiota
/ Humans
/ Inflammatory bowel disease
/ Laboratories
/ Male
/ Metabolism
/ Microbiota
/ Multiple sclerosis
/ Multiple Sclerosis - microbiology
/ Pediatrics
/ Proteins
/ RNA, Ribosomal, 16S
/ Values
2021
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
The gut microbiota in pediatric multiple sclerosis and demyelinating syndromes
by
Yeh, E. Ann
, Bar‐Or, Amit
, Marrie, Ruth Ann
, Banwell, Brenda
, Zhu, Feng
, Mirza, Ali I.
, Forbes, Jessica D.
, O’Mahony, Julia
, Van Domselaar, Gary
, Tremlett, Helen
, Knox, Natalie C.
, Zhao, Yinshan
, Waubant, Emmanuelle
, Arnold, Douglas
, Graham, Morag
, Bernstein, Charles N.
, Hart, Janace
, Bonner, Christine
in
Adolescent
/ Age
/ Antibiotics
/ Body mass index
/ Canada
/ Case-Control Studies
/ Child
/ Child, Preschool
/ Chronic illnesses
/ Cohort Studies
/ Computational Biology
/ Demyelinating Autoimmune Diseases, CNS - microbiology
/ Dietary supplements
/ Disease
/ Female
/ Females
/ Gastrointestinal Microbiome
/ Gut microbiota
/ Humans
/ Inflammatory bowel disease
/ Laboratories
/ Male
/ Metabolism
/ Microbiota
/ Multiple sclerosis
/ Multiple Sclerosis - microbiology
/ Pediatrics
/ Proteins
/ RNA, Ribosomal, 16S
/ Values
2021
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The gut microbiota in pediatric multiple sclerosis and demyelinating syndromes
Journal Article
The gut microbiota in pediatric multiple sclerosis and demyelinating syndromes
2021
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Overview
Objective To examine the gut microbiota in individuals with and without pediatric‐onset multiple sclerosis (MS). Methods We compared stool‐derived microbiota of Canadian Pediatric Demyelinating Disease Network study participants ≤21 years old, with MS (disease‐modifying drug [DMD] exposed and naïve) or monophasic acquired demyelinating syndrome [monoADS] (symptom onset <18 years), and unaffected controls. All were ≥30 days without antibiotics or corticosteroids. V4 region 16S RNA gene‐derived amplicon sequence variants (Illumina MiSeq) were assessed using negative binomial regression and network analyses; rate ratios were age‐ and sex‐adjusted (aRR). Results Thirty‐two MS, 41 monoADS (symptom onset [mean] = 14.0 and 6.9 years) and 36 control participants were included; 75%/56%/58% were female, with mean ages at stool sample = 16.5/13.8/15.1 years, respectively. Nine MS cases (28%) were DMD‐naïve. Although microbiota diversity (alpha, beta) did not differ between participants (p > 0.1), taxa‐level and gut community networks did. MS (vs. monoADS) exhibited > fourfold higher relative abundance of the superphylum Patescibacteria (aRR = 4.2;95%CI:1.6–11.2, p = 0.004, Q = 0.01), and lower abundances of short‐chain fatty acid (SCFA)‐producing Lachnospiraceae (Anaerosporobacter) and Ruminococcaceae (p, Q < 0.05). DMD‐naïve MS cases were depleted for Clostridiales vadin‐BB60 (unnamed species) versus either DMD‐exposed, controls (p, Q < 0.01), or monoADS (p = 0.001, Q = 0.06) and exhibited altered community connectedness (p < 10−9 Kruskal–Wallis), with SCFA‐producing taxa underrepresented. Consistent taxa‐level findings from an independent US Network of Pediatric MS Centers case/control (n = 51/42) cohort included >eightfold higher abundance for Candidatus Stoquefichus and Tyzzerella (aRR = 8.8–12.8, p < 0.05) in MS cases and 72%–80% lower abundance of SCFA‐producing Ruminococcaceae‐NK4A214 (aRR = 0.38–0.2, p ≤ 0.01). Interpretation Gut microbiota community structure, function and connectivity, and not just individual taxa, are of likely importance in MS.
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