Gut microbial-derived butyrate is inversely associated with IgE responses to allergens in childhood asthma

Study information

Reviewed Marked as Reviewed by Folakunmi on 2024-2-10

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

31206804

DOI Digital object identifier for electronic documents.

10.1111/pai.13096

URI

Authors

Chiu CY, Cheng ML, Chiang MH, Kuo YL, Tsai MH, Chiu CC, Lin G

Journal

Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology

Year

2019

Keywords:

Clostridium spp., asthma, butyrate, histidine, mite-specific IgE, β-alanine

BACKGROUND: A comprehensive metabolomics-based approach to address the impact of specific gut microbiota on allergen sensitization for childhood rhinitis and asthma is still lacking. METHODS: Eighty-five children with rhinitis (n = 27) and with asthma (n = 34) and healthy controls (n = 24) were enrolled. Fecal metabolomic analysis with 1 H-nuclear magnetic resonance (NMR) spectroscopy and microbiome composition analysis by bacterial 16S rRNA sequencing were performed. An integrative analysis of their associations with allergen-specific IgE levels for allergic rhinitis and asthma was also assessed. RESULTS: Amino acid, β-alanine, and butanoate were the predominant metabolic pathways in the gut. Among them, amino acid metabolism was negatively correlated with the phylum Firmicutes, which was significantly reduced in children with rhinitis and asthma. Levels of histidine and butyrate metabolites were significantly reduced in children with rhinitis (P = 0.029) and asthma (P = 0.009), respectively. In children with asthma, a reduction in butyrate-producing bacteria, including Faecalibacterium and Roseburia spp., and an increase in Clostridium spp. were negatively correlated with fecal amino acids and butyrate, respectively (P < 0.01). Increased Escherichia spp. accompanied by increased β-alanine and 4-hydroxybutyrate appeared to reduce butyrate production. Low fecal butyrate was significantly associated with increased total serum and mite allergen-specific IgE levels in children with asthma (P < 0.05). CONCLUSION: A reduced fecal butyrate is associated with increased mite-specific IgE levels and the risk of asthma in early childhood. Fecal β-alanine could be a specific biomarker connecting the metabolic dysbiosis of gut microbiota, Clostridium and Escherichia spp., in childhood asthma.

Experiment 1

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Reviewed Marked as Reviewed by Folakunmi on 2024-2-10

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Folakunmi, Tosin

Subjects

Location of subjects: China

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: Asthma Airway hyperreactivity,asthma,Asthma (disorder),Asthma NOS,Asthma NOS (disorder),ASTHMA NOS W (AC) EXAC,Asthma unspecified,Asthma unspecified (disorder),Asthma, Bronchial,Asthma, unspecified,Asthma, unspecified type, with acute exacerbation,Asthma, unspecified type, without mention of status asthmaticus,Asthmas,Asthmatic,BHR - Bronchial hyperreactivity,Bronchial asthma,Bronchial Hyperreactivities,Bronchial hyperreactivity,bronchial hyperreactivity,Bronchial hyperresponsiveness,Bronchial hypersensitivity,chronic obstructive asthma,chronic obstructive asthma with acute exacerbation,chronic obstructive asthma with status asthmaticus,DUST PNEUMONOPATHY NEC,Exercise induced asthma,exercise induced asthma,Exercise-induced asthma,exercise-induced asthma,Exercise-induced asthma (disorder),Hyperreactive airway disease,Hyperreactive airways disease,Hyperreactivities, Bronchial,Hyperreactivity, Bronchial,Other forms of asthma,Pneumonopathy due to inhalation of other dust,Pneumopathy due to inhalation of other dust,Pneumopathy due to inhalation of other dust (disorder),Pneumopathy due to inhalation of other dust NOS,Pneumopathy due to inhalation of other dust NOS (disorder),Asthma

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: asthma

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: child age 4-7 years with physician diagnosed asthma

Group 0 sample size Number of subjects in the control (unexposed) group: 24

Group 1 sample size Number of subjects in the case (exposed) group: 34

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 1 month

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V3-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: Kruskall-Wallis

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

Signature 1

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Source: Figure 2a, Text (Association between gut metabolites and microbiota for rhinitis and asthma)

Description: Differential expression of genera of bacteria between children with asthma and health controls

Abundance in Group 1: increased abundance in asthma

NCBI	Quality Control	Links
Clostridium
Enterococcus
Escherichia
Eubacterium
Lactobacillus

Revision editor(s): WikiWorks, Folakunmi

Signature 2

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Curator: Lucy Mellor

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Source: Figure 2a, Text (Association between gut metabolites and microbiota for rhinitis and asthma)

Description: Differential expression of genera of bacteria between children with asthma and health controls

Abundance in Group 1: decreased abundance in asthma

NCBI	Quality Control	Links
Dialister
Faecalibacterium
Roseburia
SMB53SMB53

Revision editor(s): WikiWorks, Folakunmi

Experiment 2

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Curated date: 2021/01/10

Curator: WikiWorks

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Differences from previous experiment shown

Subjects

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Allergic rhinitis 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 1 name Corresponds to the case (exposed) group for case-control studies: allergic rhinitis

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: child age 4-7 years with physician diagnosed allergic rhinitis