volume 74 issue 1 publication number 14

Rare constituents of the nasal microbiome contribute to the acute exacerbation of chronic rhinosinusitis

Yunfan Zhang 1, 2
Yuan Fan 3, 4
Zheng Liu 5
Xiaoxi Huang 5
Junsheng Hong 3
Feifan Chang 6
Dawei Wu 1
Publication typeJournal Article
Publication date2025-01-11
scimago Q1
wos Q1
SJR1.388
CiteScore8.7
Impact factor5.4
ISSN10233830, 1420908X
Abstract
Dysbiosis of the nasal microbiome is considered to be related to the acute exacerbation of chronic rhinosinusitis (AECRS). The microbiota in the nasal cavity of AECRS patients and its association with disease severity has rarely been studied. This study aimed to characterize nasal dysbiosis in a prospective cohort of patients with AECRS. We performed a cross-sectional study of 28 patients with AECRS, 20 patients with chronic rhinosinusitis (CRS) without acute exacerbation (AE), and 29 healthy controls using 16S rRNA gene sequencing. Subjective and objective assessments of CRS disease severity during AE were also collected. Compared to healthy controls and patients with CRS without AE, AECRS presented with a substantial decrease of the Corynebacterium_1 and a significant increase of Ralstonia and Acinetobacter at the genus level (LDA score > 2.0 [P < 0.05]). Furthermore, genera with a mean relative abundance (MRA) of less than 1% were defined as rare components based on published studies, then 29 genera with a substantial alteration in AECRS were rare constituents of the microbiome, of which 18 rare genera were highly associated with subjective and objective disease severity. Moreover, a combination of 15 genera could differentiate patients with AECRS with an area under the curve of 0.870 (95% CI = 0.784–0.955). Prediction of microbial functional pathways involved significantly enhanced lipopolysaccharide biosynthesis pathways and significantly decreased folate biosynthesis, sulfur relay system, and cysteine and methionine metabolism pathways in patients with AECRS. The rare nasal microbiota (MRA < 1%) correlated with disease status and disease severity in patients with AECRS. The knowledge about the pattern of the nasal microbiome and its metabolomic pathway may contribute to the fundamental understanding of AECRS pathophysiology.
Found 
Found 

Top-30

Journals

1
2
Current Opinion in Otolaryngology and Head and Neck Surgery
2 publications, 66.67%
Frontiers in Microbiology
1 publication, 33.33%
1
2

Publishers

1
2
Ovid Technologies (Wolters Kluwer Health)
2 publications, 66.67%
Frontiers Media S.A.
1 publication, 33.33%
1
2
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
3
Share
Cite this
GOST |
Cite this
GOST Copy
Zhang Y. et al. Rare constituents of the nasal microbiome contribute to the acute exacerbation of chronic rhinosinusitis // Inflammation Research. 2025. Vol. 74. No. 1. 14
GOST all authors (up to 50) Copy
Zhang Y., Yuan Fan, Liu Z., Huang X., Hong J., Chang F., Wu D. Rare constituents of the nasal microbiome contribute to the acute exacerbation of chronic rhinosinusitis // Inflammation Research. 2025. Vol. 74. No. 1. 14
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1007/s00011-025-01995-9
UR - https://link.springer.com/10.1007/s00011-025-01995-9
TI - Rare constituents of the nasal microbiome contribute to the acute exacerbation of chronic rhinosinusitis
T2 - Inflammation Research
AU - Zhang, Yunfan
AU - Yuan Fan
AU - Liu, Zheng
AU - Huang, Xiaoxi
AU - Hong, Junsheng
AU - Chang, Feifan
AU - Wu, Dawei
PY - 2025
DA - 2025/01/11
PB - Springer Nature
IS - 1
VL - 74
SN - 1023-3830
SN - 1420-908X
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Zhang,
author = {Yunfan Zhang and Yuan Fan and Zheng Liu and Xiaoxi Huang and Junsheng Hong and Feifan Chang and Dawei Wu},
title = {Rare constituents of the nasal microbiome contribute to the acute exacerbation of chronic rhinosinusitis},
journal = {Inflammation Research},
year = {2025},
volume = {74},
publisher = {Springer Nature},
month = {jan},
url = {https://link.springer.com/10.1007/s00011-025-01995-9},
number = {1},
pages = {14},
doi = {10.1007/s00011-025-01995-9}
}