Variation of Gut Mucosal Microbiome With Anti-Saccharomyces cerevisiae Antibody Status in Pediatric Crohn Disease

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Reviewed Marked as Reviewed by Atrayees on 2023-7-12
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Kansal S, Catto-Smith AG, Boniface K, Thomas S, Cameron DJ, Oliver M, Alex G, Kirkwood CD, Wagner J
Journal
Journal of pediatric gastroenterology and nutrition
Year
2019
OBJECTIVES: Crohn disease (CD) is a chronic relapsing condition possibly caused by a dysbiotic microbiome. Approximately 30% to 60% of patients with CD have anti-Saccharomyces cerevisiae antibody (ASCA), but any association with gut microbiota is unexplored. We hypothesized that ASCA positivity would predict a signature microbial status and clinical phenotype. METHODS: Ileocolonic mucosal biopsies were obtained from children with CD (n = 135), and controls without inflammatory bowel disease (n = 45). Comparison was made between ASCA status, microbial diversity, and clinical characteristics. RESULTS: ASCA was highly specific but poorly sensitive for the diagnosis of CD. In patients with CD, ASCA positivity was associated with older age (≥10 years), ileocolonic disease, and long-term risk of surgery. Microbial alpha and beta diversity were similar in patients with CD with or without ASCA, but significantly less when compared to noninflammatory bowel disease controls. Microbial richness was similar across all 3 groups. Fourteen bacterial species were associated with ASCA-positive patients with CD and 14 species with ASCA-negative patients (P < 0.05). After using a false discovery rate correction Ruminococcus torques and bacterium Yersinia enterocolitica 61 remained significantly associated with CD ASCA positivity (P = 0.0178), whereas Enterobacter cloacae and Faecalibacterium prausnitzii were significantly associated with CD ASCA negativity (P = 0.0178 and 0.0342). CONCLUSION: ASCA-positive and ASCA-negative patients with CD have significant differences in gut microbiome composition, which could possibly be influencing the phenotype of the disease.

Experiment 1


Reviewed Marked as Reviewed by Atrayees on 2023-7-12

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Victoria

Subjects

Location of subjects
Australia
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Ileum Distal intestine,Intestinum ileum,Lower intestine,Posterior intestine,Ileum,ileum
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Crohn's disease Colitis, Granulomatous,CROHN DIS,Crohn Disease,Crohn disease,Crohn's associated gastritis,Crohn's disease,Crohn's disease of colon,Crohn's disease of large bowel,CROHNS DIS,Crohns Disease,Enteritis, Granulomatous,Enteritis, Regional,Gastritis Associated with Crohn Disease,Gastritis Associated with Crohn's Disease,granulomatous colitis,Ileitis, Regional,Ileitis, Terminal,Ileocolitis,pediatric Crohn's disease,regional enteritis,crohn disease,crohn's disease
Group 0 name Corresponds to the control (unexposed) group for case-control studies
crohn disease ASCA negative patients
Group 1 name Corresponds to the case (exposed) group for case-control studies
crohn disease ASCA positive patients
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Crohn disease anti-Saccharomyces cerevisiae antibody status
Group 0 sample size Number of subjects in the control (unexposed) group
39
Group 1 sample size Number of subjects in the case (exposed) group
38
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
3 months

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V2
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Non-quantitative PCR

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
Mann-Whitney (Wilcoxon)
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Chao1 Abundance-based estimator of species richness
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
unchanged
Richness Number of species
unchanged

Signature 1

Reviewed Marked as Reviewed by Atrayees on 2023-7-12

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks

Source: Figure 1

Description: Bacterial species significantly associated with Crohn disease Anti-Saccharomyces cerevisiae antibody status (ASCA) positive patients and CD ASCA-negative patients

Abundance in Group 1: increased abundance in crohn disease ASCA positive patients

NCBI Quality ControlLinks
[Ruminococcus] torques

Revision editor(s): WikiWorks

Signature 2

Reviewed Marked as Reviewed by Atrayees on 2023-7-12

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks

Source: Figure 1

Description: Bacterial species significantly associated with Crohn disease Anti-Saccharomyces cerevisiae antibody status (ASCA) positive patients and CD ASCA-negative patients

Abundance in Group 1: decreased abundance in crohn disease ASCA positive patients

NCBI Quality ControlLinks
Enterobacter cloacae
Faecalibacterium prausnitzii

Revision editor(s): WikiWorks