Article ; Online: Dimension reduction of microbiome data linked Bifidobacterium and Prevotella to allergic rhinitis.
2024 Volume 14, Issue 1, Page(s) 7983
Abstract: Dimension reduction has been used to visualise the distribution of multidimensional microbiome data, but the composite variables calculated by the dimension reduction methods have not been widely used to investigate the relationship of the human gut ... ...
Abstract | Dimension reduction has been used to visualise the distribution of multidimensional microbiome data, but the composite variables calculated by the dimension reduction methods have not been widely used to investigate the relationship of the human gut microbiome with lifestyle and disease. In the present study, we applied several dimension reduction methods, including principal component analysis, principal coordinate analysis (PCoA), non-metric multidimensional scaling (NMDS), and non-negative matrix factorization, to a microbiome dataset from 186 subjects with symptoms of allergic rhinitis (AR) and 106 controls. All the dimension reduction methods supported that the distribution of microbial data points appeared to be continuous rather than discrete. Comparison of the composite variables calculated from the different dimension reduction methods showed that the characteristics of the composite variables differed depending on the distance matrices and the dimension reduction methods. The first composite variables calculated from PCoA and NMDS with the UniFrac distance were strongly associated with AR (FDR adjusted P = 2.4 × 10 |
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MeSH term(s) | Humans ; Bifidobacterium ; Prevotella ; Gastrointestinal Microbiome ; Multidimensional Scaling Analysis ; Rhinitis, Allergic |
Language | English |
Publishing date | 2024-04-05 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2615211-3 |
ISSN | 2045-2322 ; 2045-2322 |
ISSN (online) | 2045-2322 |
ISSN | 2045-2322 |
DOI | 10.1038/s41598-024-57934-x |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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