Delayed gut microbiota maturation in the first year of life is a hallmark of pediatric allergic disease

Study information

Reviewed Marked as Reviewed by Folakunmi on 2024-1-29

study design

time series / longitudinal observational
prospective cohort

Citation

PMID PubMed identifier for scientific articles.

37644001

DOI Digital object identifier for electronic documents.

10.1038/s41467-023-40336-4

URI

Authors

Hoskinson C, Dai DLY, Del Bel KL, Becker AB, Moraes TJ, Mandhane PJ, Finlay BB, Simons E, Kozyrskyj AL, Azad MB, Subbarao P, Petersen C, Turvey SE

Journal

Nature communications

Year

2023

Allergic diseases affect millions of people worldwide. An increase in their prevalence has been associated with alterations in the gut microbiome, i.e., the microorganisms and their genes within the gastrointestinal tract. Maturation of the infant immune system and gut microbiota occur in parallel; thus, the conformation of the microbiome may determine if tolerant immune programming arises within the infant. Here we show, using deeply phenotyped participants in the CHILD birth cohort (n = 1115), that there are early-life influences and microbiome features which are uniformly associated with four distinct allergic diagnoses at 5 years: atopic dermatitis (AD, n = 367), asthma (As, n = 165), food allergy (FA, n = 136), and allergic rhinitis (AR, n = 187). In a subset with shotgun metagenomic and metabolomic profiling (n = 589), we discover that impaired 1-year microbiota maturation may be universal to pediatric allergies (AD p = 0.000014; As p = 0.0073; FA p = 0.00083; and AR p = 0.0021). Extending this, we find a core set of functional and metabolic imbalances characterized by compromised mucous integrity, elevated oxidative activity, decreased secondary fermentation, and elevated trace amines, to be a significant mediator between microbiota maturation at age 1 year and allergic diagnoses at age 5 years (βindirect = -2.28; p = 0.0020). Microbiota maturation thus provides a focal point to identify deviations from normative development to predict and prevent allergic disease.

Experiment 1

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Reviewed Marked as Reviewed by Folakunmi on 2024-1-29

Curated date: 2023/10/11

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Subjects

Location of subjects: Canada

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: Inflammatory abnormality of the skin , Food allergy , Allergic rhinitis Food Hypersensitivity,Food intolerance,Food allergy,food allergy,allergic form of rhinitis,allergic rhinitis,Alrh,atopic rhinitis,non-seasonal allergic rhinitis,Perenial allergic rhinitis,perennial allergic rhinitis,pollenosis,seasonal allergic rhinitis,Allergic rhinitis

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Healthy controls

Group 1 name Corresponds to the case (exposed) group for case-control studies: Allergic Children

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Children diagnosed by an expert physician at the 5-year scheduled visit with one or more allergic disorders.

Group 0 sample size Number of subjects in the control (unexposed) group: 523

Group 1 sample size Number of subjects in the case (exposed) group: 592

Lab analysis

Sequencing type: WMS

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: Not specified

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: Random Forest Analysis

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

Matched on Factors on which subjects have been matched on in a case-control study: age

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: decreased

Signature 1

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Reviewed Marked as Reviewed by Folakunmi on 2024-1-29

Curated date: 2023/10/11

Curator: Nwajei Edgar

Revision editor(s): WikiWorks, Peace Sandy, Nwajei Edgar, Folakunmi

Source: figure 4C

Description: Comparing species abundance within the 1-year microbiota between children who did or did not receive an allergic diagnosis at 5 years

Abundance in Group 1: decreased abundance in

NCBI	Quality Control	Links
Anaerobutyricum hallii
Anaerostipes hadrus
Blautia wexlerae
Fusicatenibacter saccharivorans

Revision editor(s): WikiWorks, Peace Sandy, Nwajei Edgar, Folakunmi

Signature 2

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Reviewed Marked as Reviewed by Folakunmi on 2024-1-29

Curated date: 2023/10/11

Curator: Nwajei Edgar

Revision editor(s): WikiWorks, Peace Sandy, Nwajei Edgar, Folakunmi

Source: figure 4C

Description: Comparing species abundance within the 1-year microbiota between children who did or did not receive an allergic diagnosis at 5 years

Abundance in Group 1: increased abundance in

NCBI	Quality Control	Links
Eggerthella lenta
Enterococcus faecalis
Escherichia coli
[Clostridium] innocuum
[Clostridium] nexile

Revision editor(s): WikiWorks, Peace Sandy, Nwajei Edgar, Folakunmi