Original Article
Analysis of nasal microbial characteristics in patients with allergic rhinitis and non-allergic rhinitis
Che Yanlu, Xu Zhaonan, Wang Nan, Ma Qianzi, Zheng Zeyu, Sun Yanan, Wang Jingting
Published 2023-09-07
Cite as Chin J Otorhinolaryngol Head Neck Surg, 2023, 58(9): 885-891. DOI: 10.3760/cma.j.cn115330-20221012-00605
Abstract
ObjectiveTo investigate the characteristics of nasal flora and the pathogenic role of differential microbiome in patients with allergic rhinitis (AR) and non-allergic rhinitis (nAR).
MethodsThirty-five patients with AR who attended the rhinology outpatient clinic of the Second Hospital of Harbin Medical University from February to July 2022 were selected. A total of 35 nAR patients were selected as the test group, and 20 cases of healthy people with physical examination at the same period were selected as the control group, including 39 males and 51 females, aged 8 to 55 years. 16SrDNA High-throughput sequencing was used to analyze the relative abundance from nasal flora in the three groups of subjects. Alpha diversity index analysis was conducted with R software, and differences between groups were analyzed with LEfSe, Metastats, and t tests. At the same time, the role of microbiome and its relationship with environmental factors were analyzed with R software.
ResultsThere was a significant difference in the bacterial composition of the samples from the three groups, with the relative abundance of Staphylococcus aureus (P=0.032) and Corynebacterium proinquum (P=0.032) within the AR group being significantly higher than that of the nAR group, and that of Lactobacillus murinus, Lactobacillus kunkeei, and Alcaligenes faecalis (P value was 0.016, 0.005, and 0.001, respectively) being significantly lower than that of the nAR group. The relative abundance of Ackermannia muciniphila within the nAR group was higher than that of the control group (P=0.009). Correlation analysis of environmental factors showed a negative correlation between Lactobacillus kunkeei and IgE (P=0.044), and a positive correlation between Lactobacillus murinus and age (P=0.019). AR and nAR random forest prediction models were constructed for the five genera, respectively, and the area under the curve (AUC) of the models of Streptococcus-SP-FF10, Pseudoalteromonas luteoviolacea, Pseudomonas parafulva, Acinetobacter ursingii, and Azotobacter chroococcum in the AR group was 100% (95%CI: 100% to 100%). The AUC for the Pseudomonas parafulva, Azotobacter chroococcum, Closoridium baratii, Turicibacter-SP-H121, and Streptococcus lutetiensis models in the nAR group was 98.4% (95%CI: 94.9% to 100%).
ConclusionsThe distribution of nasal flora in AR patients, nAR patients and healthy subjects is significantly different, and the changes of bacterial flora abundance are significantly related to the occurrence of AR and nAR. Combined detection of microbiota has the potential to diagnose AR and nAR patients.
Key words:
Allergic rhinitis; Non-allergic rhinitis; Microecology; 16SrDNA
Contributor Information
Che Yanlu
Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
Xu Zhaonan
Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
Wang Nan
Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
Ma Qianzi
Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
Zheng Zeyu
Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
Sun Yanan
Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
Wang Jingting
Department of Otorhinolaryngology Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
