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Residential greenness and air pollution's association with nasal microbiota among asthmatic children.
Asri, Aji Kusumaning; Liu, Tsunglin; Tsai, Hui-Ju; Lee, Hsiao-Yun; Pan, Wen-Chi; Wu, Chih-Da; Wang, Jiu-Yao.
Afiliação
  • Asri AK; Department of Geomatics, National Cheng Kung University, Tainan, 701, Taiwan. Electronic address: akusumaning@gmail.com.
  • Liu T; Department of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, 701, Taiwan. Electronic address: tsunglin@mail.ncku.edu.tw.
  • Tsai HJ; Institute of Population Health Sciences, National Health Research Institutes, Miaoli, 350, Taiwan. Electronic address: tsaihj@nhri.edu.tw.
  • Lee HY; Department of Leisure Industry and Health Promotion, National Taipei University of Nursing and Health Sciences, Taipei, 112, Taiwan. Electronic address: hsiaoyun07@ntunhs.edu.tw.
  • Pan WC; Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan. Electronic address: wenchipan@post.harvard.edu.
  • Wu CD; Department of Geomatics, National Cheng Kung University, Tainan, 701, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, 35053, Taiwan. Electronic address: chidawu@mail.ncku.edu.tw.
  • Wang JY; Department of Pediatrics, National Cheng Kung University, Tainan, 701, Taiwan; Allergy, Immunology, and Microbiome (A.I.M.) Research Center, China Medical University, Taichung, 404, Taiwan. Electronic address: a122@mail.ncku.edu.tw.
Environ Res ; 219: 115095, 2023 02 15.
Article em En | MEDLINE | ID: mdl-36535395
ABSTRACT
Both greenness and air pollution have widely been linked with asthma. However, the potential mechanism has rarely been investigated. This study aimed to identify the association between residential greenness and air pollution (fine particulate matter [PM2.5]; nitrogen dioxide [NO2]; ozone [O3]) with nasal microbiota among asthmatic children during the recovery phase. The normalized difference vegetation index was used to assess the extent of residential greenness. Spatiotemporal air pollution variation was estimated using an integrated hybrid kriging-LUR with the XG-Boost algorithm. These exposures were measured in 250-m intervals for four incremental buffer ranges. Nasal microbiota was collected from 47 children during the recovery phase. A generalized additive model controlled for various covariates was applied to evaluate the exposure-outcome association. The lag-time effect of greenness and air pollution related to the nasal microbiota also was examined. A significant negative association was observed between short-term exposure to air pollution and nasal bacterial diversity, as a one-unit increment in PM2.5 or O3 significantly decreased the observed species (PM2.5 -0.59, 95%CI -1.13, -0.05 and O3 -0.93, 95%CI -1.54, -0.32) and species richness (PM2.5 -0.64, 95%CI -1.25, -0.02 and O3 -0.68, 95%CI -1.43, -0.07). Considering the lag-time effect, we found a significant positive association between greenness and both the observed species and species richness. In addition, we identified a significant negative association for all pollutants with the observed species richness. These findings add to the evidence base of the links between nasal microbiota and air pollution and greenness. This study establishes a foundation for future studies of how environmental exposure plays a role in nasal microbiota, which in turn may affect the development of asthma.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Asma / Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Asma / Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article