Exposure to Environmental Microorganisms and Childhood Asthma
Open accessAbstract
BACKGROUND: Children who grow up in environments that afford them a wide range of microbial exposures, such as traditional farms, are protected from childhood asthma and atopy. In previous studies, markers of microbial exposure have been inversely related to these conditions. METHODS: In two cross-sectional studies, we compared children living on farms with those in a reference group with respect to the prevalence of asthma and atopy and to the diversity of microbial exposure. In one study--PARSIFAL (Prevention of Allergy-Risk Factors for Sensitization in Children Related to Farming and Anthroposophic Lifestyle)--samples of mattress dust were screened for bacterial DNA with the use of single-strand conformation polymorphism (SSCP) analyses to detect environmental bacteria that cannot be measured by means of culture techniques. In the other study--GABRIELA (Multidisciplinary Study to Identify the Genetic and Environmental Causes of Asthma in the European Community [GABRIEL] Advanced Study)--samples of settled dust from children's rooms were evaluated for bacterial and fungal taxa with the use of culture techniques. RESULTS: In both studies, children who lived on farms had lower prevalences of asthma and atopy and were exposed to a greater variety of environmental microorganisms than the children in the reference group. In turn, diversity of microbial exposure was inversely related to the risk of asthma (odds ratio for PARSIFAL, 0.62; 95% confidence interval [CI], 0.44 to 0.89; odds ratio for GABRIELA, 0.86; 95% CI, 0.75 to 0.99). In addition, the presence of certain more circumscribed exposures was also inversely related to the risk of asthma; this included exposure to species in the fungal taxon eurotium (adjusted odds ratio, 0.37; 95% CI, 0.18 to 0.76) and to a variety of bacterial species, including Listeria monocytogenes, bacillus species, corynebacterium species, and others (adjusted odds ratio, 0.57; 95% CI, 0.38 to 0.86). CONCLUSIONS: Children living on farms were exposed to a wider range of microbes than were children in the reference group, and this exposure explains a substantial fraction of the inverse relation between asthma and growing up on a farm. (Funded by the Deutsche Forschungsgemeinschaft and the European Commission.).
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The biodiversity hypothesis highlights the role of natural environments in shaping the human microbiome, enhancing immune balance, and reducing inflammation-related diseases.
“Similarly, the biodiversity hypothesis highlights the role of natural environments in shaping the human microbiome [38], enhancing immune balance, and reducing inflammation-related diseases [38,39,40].”
From The Power of Environment: A Comprehensive Review of the Exposome's Role in Healthy Aging, Longevity, and Preventive Medicine-Lessons from Blue Zones and Cilento (2025) · cites this paper as [39]
The Results and Discussion report that children on farms encountered more diverse environmental microorganisms and that this exposure was associated with lower asthma risk. The Discussion proposes immune regulation and altered airway colonization as possible mechanisms, but it does not establish that natural environments reshape the human microbiome or reduce inflammation-related diseases generally. (LLM, conf=0.86)
Experimental — accuracy not yet measuredMechanistically, farming and rural exposures are thought to exert effects on immune regulatory pathways essentially via microbial taxa, microbial metabolites and specific carrier-proteins like beta-lactoglobulin present in the stable environment and milk.
“Mechanistically, these exposures are thought to exert effects on the immune regulatory pathways essentially via microbial taxa, microbial metabolites [22, 23, 24] and specific carrier‐proteins like beta‐lactoglobulin present in the stable environment and milk [25, 26].”
From <scp>EAACI</scp> Guidelines on the Importance of Green Space in Urban Environments for Allergy and Asthma Prevention (2026) · cites this paper as [22]
The Discussion (page not available in our copy) proposes that diverse farm-associated microorganisms may affect immune signaling pathways, including those leading to regulatory T cells. It does not identify microbial metabolites as mediators. The beta-lactoglobulin clause has separate citations [25, 26] and is not attributed to this paper. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe increased use of antibiotics and changes in dietary patterns in developed countries may lead to alterations in the composition of the intestinal microbiota and a higher risk of bronchial asthma.
“Also, the increased use of antibiotics and changes in dietary patterns in developed countries, may lead to alterations in the composition of the intestinal microbiota and a higher risk of bronchial asthma [80][81][82] .”
From Intestinal microbiota in health and disease: Role of bifidobacteria in gut homeostasis (2014) · cites this paper as [81]
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- Authors
- Ege, M. J., Mayer, M., Normand, A.-C., Genuneit, J., Cookson, W. O. C. M., Braun-Fahrländer, C., Heederik, D., Piarroux, R., & von Mutius, E.
- Affiliations
- Technical University of Munich (DE)
- Laboratoire Chrono-Environnement (FR)
- Universität Ulm (DE)
- Imperial College London (GB)
- Utrecht University (NL)
- Aix-Marseille Université (FR)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2011-02-24
- Volume
- 364
- Issue
- 8
- Pages
- 701-709
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2152259491
- Cited by
- 1,529
- References
- 1
- Citations by year
- 2026: 54 · 2025: 64 · 2024: 72 · 2023: 91 · 2022: 99 · 2021: 110 · 2020: 133 · 2019: 102 · 2018: 93 · 2017: 122 · 2016: 107 · 2015: 119 · 2014: 119 · 2013: 99 · 2012: 95
- FWCI
- 78.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- Bern Open Repository and Information System (University of Bern) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
- National Institute for Health and Care Research (NF-SI-0508-10212)
- European Commission (LSH-2004-1.2.5-1)
- Deutsche Forschungsgemeinschaft
- Robert Koch Institut
- Topics
- Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Health Sciences › Medicine › Immunology and Allergy › Allergic Rhinitis and Sensitization
- Keywords
- childhood asthma, atopy, farm children, microbial exposure, microbial diversity, mattress dust, settled dust, environmental bacteria, environmental fungi, Eurotium, Listeria monocytogenes, Corynebacterium, Bacillus, allergy prevention, hygiene hypothesis
- MeSH terms
- Adolescent, Agriculture, Asthma, Bacteria, Child, Cross-Sectional Studies, Dust, Environmental Exposure, Female, Fungi, Humans, Hypersensitivity, Immunoglobulin E, Male, Surveys and Questionnaires, Risk Factors, Prevalence, Logistic Models, Polymorphism, Single-Stranded Conformational, Biodiversity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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