Early-life gut microbiome and egg allergy

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Reviewed Marked as Reviewed by Atrayees on 2023-6-29
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Fazlollahi M, Chun Y, Grishin A, Wood RA, Burks AW, Dawson P, Jones SM, Leung DYM, Sampson HA, Sicherer SH, Bunyavanich S
Journal
Allergy
Year
2018
Keywords:
egg allergy, egg sensitization, food allergy, microbiome, purine
BACKGROUND: Gut microbiota may play a role in egg allergy. We sought to examine the association between early-life gut microbiota and egg allergy. METHODS: We studied 141 children with egg allergy and controls from the multicenter Consortium of Food Allergy Research study. At enrollment (age 3 to 16 months), fecal samples were collected, and clinical evaluation, egg-specific IgE measurement, and egg skin prick test were performed. Gut microbiome was profiled by 16S rRNA sequencing. Analyses for the primary outcome of egg allergy at enrollment, and the secondary outcomes of egg sensitization at enrollment and resolution of egg allergy by age 8 years, were performed using Quantitative Insights into Microbial Ecology, Phylogenetic Investigation of Communities by Reconstruction of Unobserved States, and Statistical Analysis of Metagenomic Profiles. RESULTS: Compared to controls, increased alpha diversity and distinct taxa (PERMANOVA P = 5.0 × 10-4 ) characterized the early-life gut microbiome of children with egg allergy. Genera from the Lachnospiraceae, Streptococcaceae, and Leuconostocaceae families were differentially abundant in children with egg allergy. Predicted metagenome functional analyses showed differential purine metabolism by the gut microbiota of egg-allergic subjects (Kruskal-Wallis Padj  = 0.021). Greater gut microbiome diversity and genera from Lachnospiraceae and Ruminococcaceae were associated with egg sensitization (PERMANOVA P = 5.0 × 10-4 ). Among those with egg allergy, there was no association between early-life gut microbiota and egg allergy resolution by age 8 years. CONCLUSION: The distinct early-life gut microbiota in egg-allergic and egg-sensitized children identified by our study may point to targets for preventive or therapeutic intervention.

Experiment 1


Reviewed Marked as Reviewed by Atrayees on 2023-6-29

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Atrayees, Victoria

Subjects

Location of subjects
United States of America
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
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Egg allergy Allergy to eggs (disorder),Egg allergy,Egg Hypersensitivity,egg allergy
Group 0 name Corresponds to the control (unexposed) group for case-control studies
healthy control
Group 1 name Corresponds to the case (exposed) group for case-control studies
children with egg allergy
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
children with egg allergy (ages ranging from 3 to 16 months)
Group 0 sample size Number of subjects in the control (unexposed) group
75
Group 1 sample size Number of subjects in the case (exposed) group
66

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
LEfSe
Logistic Regression
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)?
No
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
2
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
age, atopic eczema, antibiotic, breast feeding

Alpha Diversity

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

Signature 1

Reviewed Marked as Reviewed by Atrayees on 2023-6-29

Curated date: 2021/01/10

Curator: Lucy Mellor

Revision editor(s): WikiWorks

Source: Figure 2b, text

Description: Bacterial genera significantly associated with egg allergy

Abundance in Group 1: increased abundance in children with egg allergy

NCBI Quality ControlLinks
Ruminococcus
Lactococcus

Revision editor(s): WikiWorks

Signature 2

Reviewed Marked as Reviewed by Atrayees on 2023-6-29

Curated date: 2021/01/10

Curator: Lucy Mellor

Revision editor(s): WikiWorks

Source: Figure 2b, text

Description: Bacterial genera significantly associated with egg allergy

Abundance in Group 1: decreased abundance in children with egg allergy

NCBI Quality ControlLinks
Leuconostoc

Revision editor(s): WikiWorks

Experiment 2


Reviewed Marked as Reviewed by Atrayees on 2023-6-29

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Atrayees, Victoria

Differences from previous experiment shown

Subjects

Group 1 name Corresponds to the case (exposed) group for case-control studies
children with egg sensitization
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
children with egg sensitization
Group 0 sample size Number of subjects in the control (unexposed) group
40
Group 1 sample size Number of subjects in the case (exposed) group
101

Lab analysis

Statistical Analysis

Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
age, race

Alpha Diversity

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

Signature 1

Reviewed Marked as Reviewed by Atrayees on 2023-6-29

Curated date: 2021/01/10

Curator: Lucy Mellor

Revision editor(s): WikiWorks, Atrayees

Source: Figure 5b, text

Description: Bacterial genera significantly associated with egg sensitization

Abundance in Group 1: increased abundance in children with egg sensitization

NCBI Quality ControlLinks
Faecalibacterium
Roseburia
Verrucomicrobiota
Bacillota

Revision editor(s): WikiWorks, Atrayees