Methods: In the apartment and hospital, we collected summer and winter dust. After genomic DNA was extracted from the dust and dust EVs, 16s ribosomal DNA was amplified using the universal primer, sequenced through the next generation sequencer, and then the sequenced data was analyzed using bioinformatics. Then, Serum IgG antibody against major bacteria derived EVs in dust were measured in 90 healthy control subjects, and 294 asthma, 242 COPD, and 325 lung cancer patients
Result: Bacteria and bacteria derived EVs did not differ in diversity and community composition. Our data suggests the composition of a major dust microbiome that includes Pseudomonas, Acinetobacter, Enterococcus, and Staphylococcus. As a result of comparing the bacterial composition, Pseudomonas was dominant from apartment and summer, while Acinetobacter was dominant from hospital and winter. Especially in the winter of hospital, Acinetobacter was increased remarlably and diversity was reduced. As a result of Serum IgG antibody against major bacteria derived EVs in dust, adjusted multiple logistic regression revealed that sensitization to each bacteria derived EVs in dust were an independent risk factor for asthma, COPD and lung cancer.
Conclusion: Dust microbiome from bacteria and bacteria derived EVs were mostly composed of Pseudomonas, Acinetobacter, Enterococcus, and Staphylococcus. IgG sensitization to bacteria derived EVs of indoor dust appears to be a major risk for the development of asthma, COPD, and lung cancer.