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논문 기본 정보

자료유형
학술저널
저자정보
Jinho Yang (Institute of MD Healthcare Inc) Goohyeon Hong (Dankook University) Youn Seup Kim (Dankook University) Hochan Seo (Institute of MD Healthcare Inc) Sungwon Kim (Institute of MD Healthcare Inc) Andrea McDowell (Institute of MD Healthcare Inc) Won Hee Lee (Institute of MD Healthcare Inc) You-Sun Kim (GCLabCell) Yeon-Mok Oh (Asan Medical Center) You-Sook Cho (Asan Medical Center) Young Woo Choi (Ajou University) You-Young Kim (Honorary President of Korea Asthma Allergy Foundation) 지영구 (단국대학교) 김윤근 (주식회사 엠디헬스케어)
저널정보
대한천식알레르기학회(구 대한알레르기학회) Allergy, Asthma & Immunology Research Allergy, Asthma & Immunology Research Vol.12 No.4
발행연도
2020.1
수록면
669 - 683 (15page)

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Purpose: Recently, there has been a rise in the interest to understand the composition of indoor dust due to its association with lung diseases such as asthma, chronic obstructive pulmonary disease (COPD) and lung cancer. Furthermore, it has been found that bacterial extracellular vesicles (EVs) within indoor dust particles can induce pulmonary inflammation, suggesting that these might play a role in lung disease. Methods: We performed microbiome analysis of indoor dust EVs isolated from mattresses in apartments and hospitals. We developed diagnostic models based on the bacterial EVs antibodies detected in serum samples via enzyme-linked immunosorbent assay (ELISA) in this analysis. Results: Proteobacteria was the most abundant bacterial EV taxa observed at the phylum level while Pseudomonas, Enterobacteriaceae (f) and Acinetobacter were the most prominent organisms at the genus level, followed by Staphylococcus. Based on the microbiome analysis, serum anti-bacterial EV immunoglobulin G (IgG), IgG1 and IgG4 were analyzed using ELISA with EV antibodies that targeted Staphylococcus aureus, Acinetobacter baumannii, Enterobacter cloacae and Pseudomonas aeruginosa. The levels of anti-bacterial EV antibodies were found to be significantly higher in patients with asthma, COPD and lung cancer compared to the healthy control group. We then developed a diagnostic model through logistic regression of antibodies that showed significant differences between groups with smoking history as a covariate. Four different variable selection methods were compared to construct an optimal diagnostic model with area under the curves ranging from 0.72 to 0.81. Conclusions: The results of this study suggest that ELISA-based analysis of anti-bacterial EV antibodies titers can be used as a diagnostic tool for lung disease. The present findings provide insights into the pathogenesis of lung disease as well as a foundation for developing a novel diagnostic methodology that synergizes microbial EV metagenomics and immune assays.
#Extracellular vesicles #dust #diagnosis #asthma #chronic obstructive pulmonary disease #lung neoplasms #microbiome #bacteria

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참고문헌 (49)

참고문헌 신청
Lee SC / 2000 / Indoor and outdoor air quality investigation at schools in Hong Kong / Chemosphere 41:109~113 google schola Mendes A / 2013 / Indoor air quality and thermal comfort-results of a pilot study in elderly care centers in Portugal / J Toxicol Environ Health A 76:333~344 google schola Klepeis NE / 2001 / The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants / J Expo Anal Environ Epidemiol 11:231~252 google schola Kim YK / 2007 / Airway exposure levels of lipopolysaccharide determine type 1 versus type 2 experimental asthma / J Immunol 178:5375~5382 google schola Jeon SG / 2007 / TH2 and TH1 lung inflammation induced by airway allergen sensitization with low and high doses of double-stranded RNA / J Allergy Clin Immunol 120:803~812 google schola

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