Gut microbiota metabolites, secretory immunoglobulin A and Bayley-III cognitive scores in children from the CHILD Cohort Study
Rattachement africain : fr, ca, hk, my. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Background: Dysbiosis of the gut microbiota has been demonstrated in neurodevelopmental disorders but the underlying mechanisms that may explain these associations are poorly understood. Gut secretory immunoglobulin A (SIgA) binds pathogenic microbes, preventing mucosal penetration. Gut microbes also influence SIgA production and its binding characteristics through short-chain fatty acid (SCFA) metabolites, allowing them to regulate the immune response. Serum IgA deficiency has been noted in children with autism spectrum disorders (ASD). In this study, we aimed to determine whether SIgA level in infancy is associated with gut microbiota taxonomy and metabolites, and neurodevelopmental outcomes in preschool children. Methods: For a subsample of 178 children from the Canadian CHILD Cohort Study, gut microbiota of fecal samples collected at 3-4 months and 12 months was profiled using 16S rRNA sequencing. Gut bacterial metabolites levels and SIgA level were measured by nuclear magnetic resonance (NMR) based metabolomics and SIgA enzyme-linked immunosorbent assay at 3-4 months, respectively. Bayley-III Scale of Infant Development was assessed at 12 and 24 months. We evaluated direct relationships in multiple linear regression models and putative causal relationships in statistical mediation models. Results: Propionate and butyrate levels at 3-4 months were associated with decreased Bayley cognitive score at 24 months (p-values: 0.01 and 0.02, respectively) in adjusted multiple linear regression models, but when we investigated an indirect relationship mediated by decreased SIgA level at 3-4 months, it did not reach statistical significance (p-values: 0.18 and 0.20, respectively). Lactate level at 3-4 months was associated with increased Bayley cognitive score at 24 months in adjusted multiple linear regression models (p-value: 0.01), but the statistical model mediated by increased SIgA level at 3-4 months did not reach statistical significance neither (p-value: 0.20). Conclusions: Our study contributes to growing evidence that neurodevelopment is influenced by the infant gut microbiota and that it might involve SIgA level, but larger studies are required.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Gut microbiota metabolites, secretory immunoglobulin A and Bayley-III cognitive scores in children from the CHILD Cohort Study
- Date Crossref
- 01/03/2025
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Centre National de la Recherche Scientifique pays non établi dans la noticeOrganisme public
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Inserm pays non établi dans la noticeOrganisme public
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University of Alberta Hospital pays non établi dans la noticeÉtablissement de santé
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Université Grenoble Alpes pays non établi dans la noticeUniversité ou école supérieure
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Chinese University of Hong Kong Microbiota I-Center (MagIC) pays non établi dans la noticeUniversité ou école supérieure
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Hong Kong Jockey Club pays non établi dans la noticeOrganisation à but non lucratif
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University of Alberta pays non établi dans la noticeUniversité ou école supérieure
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SickKids Foundation pays non établi dans la noticeOrganisation à but non lucratif
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Children's Hospital Research Institute of Manitoba pays non établi dans la noticeÉtablissement de santé
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University of Manitoba Children's Hospital Research Institute of Manitoba pays non établi dans la noticeUniversité ou école supérieure
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University of British Columbia pays non établi dans la noticeUniversité ou école supérieure
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BC Children's Hospital pays non établi dans la noticeÉtablissement de santé
Centre National de la Recherche Scientifique, Inserm et University of Alberta Hospital, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.