Pérez-Losada Marcos, Castro-Nallar Eduardo, Laerte Boechat José, Delgado Luis, Azenha Rama Tiago, Berrios-Farías Valentín, Oliveira Manuela
Computational Biology Institute, Department of Biostatistics & Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA.
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661 Vairão, Portugal.
Microorganisms. 2023 Mar 7;11(3):683. doi: 10.3390/microorganisms11030683.
Allergic rhinitis and asthma are major public health concerns and economic burdens worldwide. However, little is known about nasal bacteriome dysbiosis during allergic rhinitis, alone or associated with asthma comorbidity. To address this knowledge gap we applied 16S rRNA high-throughput sequencing to 347 nasal samples from participants with asthma (AS = 12), allergic rhinitis (AR = 53), allergic rhinitis with asthma (ARAS = 183) and healthy controls (CT = 99). One to three of the most abundant phyla, and five to seven of the dominant genera differed significantly ( < 0.021) between AS, AR or ARAS and CT groups. All alpha-diversity indices of microbial richness and evenness changed significantly ( < 0.01) between AR or ARAS and CT, while all beta-diversity indices of microbial structure differed significantly ( < 0.011) between each of the respiratory disease groups and controls. Bacteriomes of rhinitic and healthy participants showed 72 differentially expressed ( < 0.05) metabolic pathways each related mainly to degradation and biosynthesis processes. A network analysis of the AR and ARAS bacteriomes depicted more complex webs of interactions among their members than among those of healthy controls. This study demonstrates that the nose harbors distinct bacteriotas during health and respiratory disease and identifies potential taxonomic and functional biomarkers for diagnostics and therapeutics in asthma and rhinitis.
变应性鼻炎和哮喘是全球主要的公共卫生问题和经济负担。然而,对于变应性鼻炎单独存在或合并哮喘时鼻腔微生物群失调的情况,人们了解甚少。为了填补这一知识空白,我们对来自哮喘患者(AS = 12)、变应性鼻炎患者(AR = 53)、变应性鼻炎合并哮喘患者(ARAS = 183)和健康对照者(CT = 99)的347份鼻腔样本进行了16S rRNA高通量测序。在AS、AR或ARAS组与CT组之间,最丰富的1至3个门以及占主导地位的5至7个属存在显著差异(< 0.021)。AR或ARAS组与CT组之间,微生物丰富度和均匀度的所有α多样性指数均发生了显著变化(< 0.01),而每个呼吸道疾病组与对照组之间,微生物结构的所有β多样性指数均存在显著差异(< 0.011)。鼻炎患者和健康参与者的微生物群显示出72条差异表达(< 0.05)的代谢途径,每条途径主要与降解和生物合成过程相关。对AR和ARAS微生物群的网络分析表明,其成员之间的相互作用网络比健康对照者的更为复杂。这项研究表明,鼻腔在健康和呼吸道疾病期间拥有不同的微生物群,并确定了哮喘和鼻炎诊断及治疗的潜在分类学和功能生物标志物。