未经证实:鼻腔微生物群对变应性鼻炎(AR)的发病机制至关重要,据报道,这与健康个体不同。然而,没有研究调查鼻腔细胞外囊泡(EV)中的微生物群。我们旨在比较AR患者和健康对照(HCs)之间的微生物组组成和EV多样性,并揭示AR的潜在代谢机制。
UNASSIGNED:在AR(n=20)和HC(n=19)患者中测量嗜酸性粒细胞计数和血清免疫球蛋白E(IgE)水平。使用透射电子显微镜和流式细胞术鉴定鼻EV。使用16SrRNA测序来描绘微生物群落。分析了α和β多样性以确定微生物多样性。基于线性判别分析效应大小(LEfSe)分析了分类丰度。通过重建不受保护的国家(PICRUst2)和京都基因和基因组百科全书(KEGG)分析,使用群落的系统发育调查来表征微生物代谢途径。
未经证实:嗜酸性粒细胞,血清总IgE,在AR患者中,对皮肤螨的特异性IgE增加。AR患者的鼻EV中的α多样性低于HC。β多样性显示了AR和HCs组之间的微生物组差异。在不同的分类水平下,AR和HC之间的微生物丰度是不同的。醋杆菌属的水平明显更高,支原体,埃希氏菌,在AR患者中观察到Halomonas,而在HCs中观察到Halomonas。相反,动物园,链球菌,伯克霍尔德利亚,HCs组的假单胞菌含量高于AR组。此外,在AR患者和HC中识别的35种微生物代谢途径,25条途径在AR组中更为丰富。
未经证实:与HC相比,AR患者在鼻EV中具有不同的微生物群特征。调节AR发育的微生物群的代谢机制也不同。这些发现表明,鼻液可能反映了AR患者中微生物组EV的特定模式。
UNASSIGNED: Nasal microbiota is crucial for the pathogenesis of allergic rhinitis (AR), which has been reported to be different from that of healthy individuals. However, no study has investigated the microbiota in nasal extracellular vesicles (EVs). We aimed to compare the microbiome composition and diversity in EVs between AR patients and healthy controls (HCs) and reveal the potential metabolic mechanisms in AR.
UNASSIGNED: Eosinophil counts and serum immunoglobulin E (IgE) levels were measured in patients with AR (n = 20) and HCs (n = 19). Nasal EVs were identified using transmission electron microscopy and flow cytometry. 16S rRNA sequencing was used to profile the microbial communities. Alpha and beta diversities were analyzed to determine microbial diversity. Taxonomic abundance was analyzed based on the linear discriminant analysis effect size (LEfSe). Microbial metabolic pathways were characterized using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUst2) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses.
UNASSIGNED: Eosinophils, total serum IgE, and IgE specific to Dermatophagoides were increased in patients with AR. Alpha diversity in nasal EVs from patients with AR was lower than that in HCs. Beta diversity showed microbiome differences between the AR and HCs groups. The microbial abundance was distinct between AR and HCs at different taxonomic levels. Significantly higher levels of the genera Acetobacter, Mycoplasma, Escherichia, and Halomonas were observed in AR patients than in HCs. Conversely, Zoogloea, Streptococcus, Burkholderia, and Pseudomonas were more abundant in the HCs group than in the AR group. Moreover, 35 microbial metabolic pathways recognized in AR patients and HCs, and 25 pathways were more abundant in the AR group.
UNASSIGNED: Patients with AR had distinct microbiota characteristics in nasal EVs compared to that in HCs. The metabolic mechanisms of the microbiota that regulate AR development were also different. These findings show that nasal fluid may reflect the specific pattern of microbiome EVs in patients with AR.