Correlation Engine 2.0
Clear Search sequence regions

  • aeromonas (1)
  • allergens (1)
  • chronic diseases (1)
  • deinococcus (1)
  • gammaproteobacteria (1)
  • humans (1)
  • malaysia (1)
  • mite (1)
  • mould (1)
  • pollen (1)
  • rhinitis (25)
  • students (3)
  • weight (1)
  • Sizes of these terms reflect their relevance to your search.

    Rhinitis is one of the most prevalent chronic diseases globally. Microbiome exposure affects the occurrence of rhinitis. However, previous studies did not differentiate allergic rhinitis (AR) and non-allergic rhinitis (NAR) in the microbial association analysis. In this study, we investigate 347 students in 8 junior high schools, Terengganu, Malaysia, who were categorized as healthy (70.9%), AR (13.8%) and NAR (15.3%) based on a self-administered questionnaire and skin prick tests of pollen, pet, mould and house dust mite allergens. Classroom microbial and metabolite exposure in vacuumed dust was characterized by PacBio long-read amplicon sequencing, quantitative PCR and LC-MS-based untargeted metabolomics. Our findings indicate a similar microbial association pattern between AR and NAR. The richness in Gammaproteobacteria was negatively associated with AR and NAR symptoms, whereas total fungal richness was positively associated with AR and NAR symptoms (p < 0.05). Brasilonema bromeliae and Aeromonas enteropelogenes were negatively associated with AR and NAR, and Deinococcus was positively associated with AR and NAR (p < 0.01). Pipecolic acid was protectively associated with AR and NAR symptoms (OR = 0.06 and 0.13, p = 0.009 and 0.045). A neural network analysis showed that B. bromeliae was co-occurring with pipecolic acid, suggesting that the protective role of this species may be mediated by releasing pipecolic acid. Indoor relative humidity and the weight of vacuum dust were associated with AR and NAR, respectively (p < 0.05), but the health effects were mediated by two protective bacterial species, Aliinostoc morphoplasticum and Ilumatobacter fluminis. Overall, our study reported a similar microbial association pattern between AR and NAR and also revealed the complex interactions between microbial species, environmental characteristics, and rhinitis symptoms.


    Xi Fu, Bingqian Du, Yi Meng, Yanling Li, Xunhua Zhu, Zheyuan Ou, Mei Zhang, Huarong Wen, Aminnuddin Ma'pol, Jamal Hisham Hashim, Zailina Hashim, Gunilla Wieslander, Qingmei Chen, Jun Jiang, Juan Wang, Dan Norbäck, Yun Xia, Qingsong Chen, Yu Sun. Associations between environmental characteristics, high-resolution indoor microbiome, metabolome and allergic and non-allergic rhinitis symptoms for junior high school students. Environmental science. Processes & impacts. 2023 Apr 26;25(4):791-804

    Expand section icon Mesh Tags

    Expand section icon Substances

    PMID: 36883483

    View Full Text