한빛사 논문
Mi Kyeong Lee PhD1, Annah B. Wyss PhD1, Megan U. Carnes PhD2, Marie Richards PhD3, Christine G. Parks PhD1, Laura E. Beane Freeman PhD4, Peter S. Thorne PhD5, David M. Umbach PhD6, M. AndreaAzcarate-Peril PhD7, Shyamal D. Peddada PhD8, Stephanie J. London MD, DrPH1,*
1Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Dept. of Health and Human Services (DHHS), Research Triangle Park (RTP), North Carolina (NC), USA
2Genomics in Public Health and Medicine Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
3Westat, Durham, NC, USA
4Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, Maryland, USA
5Department of Occupational and Environmental Health, University of Iowa, Iowa City, Iowa, USA
6Biostatistics and Computational Biology Branch, NIEHS, NIH, DHHS, RTP, NC, USA
7Department of Medicine and Microbiome Core, Center for Gastrointestinal Biology and Disease, School of medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
8Department of Biostatistics, University of Pittsburgh, Pittsburgh, USA
*Corresponding author
Abstract
Background
Bacterial exposure from house dust has been associated with asthma and atopy in children but whether these relationships are present in adults remains unclear.
Objective
To examine associations of house dust microbiota with adult asthma, atopy, and hay fever.
Methods
Vacuumed bedroom dust samples from the homes of 879 participants (average age 62) in the Agricultural Lung Health Study, a case-control study of asthma nested within a farming cohort, were subjected to 16S rRNA amplicon sequencing to characterize bacterial communities. We defined current asthma and hay fever using questionnaires and current atopy by blood specific immunoglobulin E > 0.70 IU/ml to ≥ 1 of ten common allergens. We used linear regression to examine whether overall within-sample bacterial diversity differed by outcome, microbiome regression-based kernel association test (MiRKAT) to evaluate whether between-sample bacterial community compositions differed by outcome, and analysis of composition of microbiomes (ANCOM) to identify differentially abundant bacterial taxa.
Results
Overall diversity of bacterial communities in house dust was similar by asthma status but was lower (p-value < 0.05) with atopy or hay fever. Many individual bacterial taxa were differentially abundant (false discovery rate < 0.05) by asthma, atopy, or hay fever. Several taxa from Cyanobacteria, Bacteroidetes, and Fusobacteria were more abundant with asthma, atopy, or hay fever. In contrast, several taxa from Firmicutes were more abundant in homes of individuals with adequately controlled asthma (vs inadequately controlled asthma), non-atopics, or individuals without hay fever.
Conclusion
Microbial composition of house dust may influence allergic outcomes in adults.
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