Allergy
July 21, 2026 · via Europe PMC
Maternal Perinatal Gut Microbiome Is Shaped by Traditional Farming Lifestyle and Associated With Early Childhood Atopic Disease.
Davis EC, Jackson CM, Diaz NS, Susana J, Nelson A, Insel R, Seppo AE, Järvinen KM.
AI summary — for doctors, generated from the abstract only
Women from a traditional farming community had more diverse perinatal gut microbiomes than urban women, and some maternal microbial features were linked to infant atopic disease.
What was studied
Deep shotgun metagenomic analysis of perinatal fecal microbiomes in Old Order Mennonite farming women (n = 68) versus urban/suburban Rochester women (n = 55), with metabolite measures and links to early childhood atopic outcomes.
Key findings
- Farming-community women had a more diverse gut microbiome, with differences in Dorea, Anaerobutyricum, Bifidobacterium and Bacteroides species
- Serum acetate and isobutyrate were higher in farming women and correlated with cord plasma levels and infant systemic IgA
- Among urban mothers, lower Dorea longicatena (atopic dermatitis) and Segatella copri (IgE-mediated food allergy alone) were linked to infant outcomes
Clinical relevance
The findings suggest the maternal gut microbiome and metabolites may help explain farm-related protection against allergy, but do not yet support any intervention.
Who should care
Limitations
Observational comparison of two communities with different lifestyles and small group sizes, so confounding is likely and mediation is not demonstrated.
Maternal gut microbiome differences are a plausible, unproven link between farming lifestyle and lower childhood allergy.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Maternal exposure to a traditional farming lifestyle during pregnancy is associated with protection against allergic disease in childhood; however, the mechanism remains unclear. Pre-clinical work has demonstrated a role for the maternal gut microbiome in fetal immune programming. Given the diverse microbial exposure on farms, we sought to assess whether the maternal gut microbiome may mediate the relationship between maternal farm exposure and protection against offspring allergic disease. Deep shotgun metagenomic analysis of the perinatal fecal microbiome showed that women from an Old Order Mennonite traditional farming community (OOM, n = 68) harbored a more diverse gut microbiome relative to women from urban/suburban Rochester, NY (ROC, n = 55). We identified several bacterial species differentially abundant between lifestyle groups, including those from Dorea, Anaerobutyricum, Bifidobacterium, and Bacteroides genera, which translated to marked differences in microbiome functional capacity. These differences in the gut microbiome composition were accompanied by targeted metabolite findings indicating higher serum acetate and isobutyrate levels in OOM women that were positively correlated with cord plasma levels and infant systemic IgA concentrations. Among urban women, maternal microbiome composition was associated with early childhood atopic disease outcomes. Specifically, Dorea longicatena and Segatella copri were least abundant in urban mothers whose infants developed atopic disease (atopic dermatitis) or IgE-mediated food allergy alone, respectively, and were most abundant in the OOM mothers. Together, these findings highlight the maternal gut microbiome and metabolites as potential contributors to prenatal farming lifestyle protection against early childhood allergic disease.
DOI
10.1111/all.70446
PMID
42478878
PMCID
PMC13646861
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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