Associations Between Gut Microbiota and Asthma Endotypes: A Cross-Sectional Study in South China Based on Patients with Newly Diagnosed Asthma.
Associations Between Gut Microbiota and Asthma Endotypes: A Cross-Sectional Study in South China Based on Patients with Newly Diagnosed Asthma.
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DOI：
10.2147/jaa.s320088
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发表时间：
2021
影响因子：
3.2
通讯作者：
Zhang TT
中科院分区：
文献类型：
--
作者：
Zou XL;Wu JJ;Ye HX;Feng DY;Meng P;Yang HL;Wu WB;Li HT;He Z;Zhang TT
本研究旨在研究未接受治疗的新诊断哮喘成人不同炎症表型的肠道微生物群特征，以深入了解肠道微生物群与表征哮喘异质性的表型特征之间的关联，从而开发新的哮喘治疗方法。在任何干预之前，从20名健康受试者和47名新诊断的哮喘患者中获得新鲜粪便样本。将哮喘患者分为过敏组和非过敏组。采用16S rRNA新一代测序法分析肠道菌群。收集人口学和临床参数。计算α和β多样性分析，以检测对照组和哮喘患者之间样本种型丰富度和均匀度的差异。分析样本间所有使用指标的统计学差异，并评估肠道细菌群落结构特征与哮喘患者广泛临床特征的关系。哮喘组和健康组的肠道微生物组成有显著差异。哮喘患者肠道微生物组的α -多样性明显低于对照组。变应性哮喘患者与非变应性哮喘患者的微生物组也存在差异，共鉴定出28种差异种。PPAR信号通路、类胡萝卜素生物合成、类黄酮生物合成与过敏相关临床指标FENO值、血嗜酸性粒细胞计数、血清IgE、IL-4水平呈显著正相关。在特定过敏/非过敏队列中，溴瘤球菌、泡状短单胞菌和散孢梭菌的组合AUC为0.743。综合C. disporicum、黄酮、黄酮醇生物合成和血清IL-4值进行哮喘分类时，AUC达到0.929。同时，柱状梭菌及其相关功能通路区分过敏性哮喘患者和非过敏性哮喘患者的AUC为0.78。我们证明了不同哮喘表型中肠道微生物群的独特分类组成，突出了它们之间的显著关系。我们的研究可能支持肠道微生物特征在描述哮喘表型方面的考虑。
This study aimed to investigate the gut microbiome profile in different inflammatory phenotypes of treatment-naive newly diagnosed asthmatic adults, to gain insight on the associations between intestinal microbiota and phenotypic features that characterize asthma heterogeneity to develop new treatments for asthma. Fresh stool samples were obtained from 20 healthy subjects and 47 newly diagnosed asthmatic patients prior to any interventions. The asthmatics were divided into allergic and non-allergic cohorts. Intestinal microbiota was analyzed by 16S rRNA next-generation sequencing. Demographic and clinical parameters were collected. Alpha and beta diversity analysis were calculated to detect differences within sample phylotype richness and evenness between controls and asthmatic patients. Statistically significant differences between samples were analyzed for all used metrics, and features of gut bacterial community structure were evaluated in relation to extensive clinical characteristics of asthmatic patients. Gut microbial compositions were significantly different between asthmatic and healthy groups. Alpha-diversity of the gut microbiome was significantly lower in asthmatics than in controls. The microbiome between allergic and non-allergic asthmatic patients were also different, and 28 differential species were identified. PPAR signaling pathway, carotenoid biosynthesis, and flavonoid biosynthesis were significantly positively correlated with allergy-associated clinical index, including FENO value, blood eosinophil counts, and serum IgE and IL-4 levels. A combination of Ruminococcus bromii, Brevundimonas vesicularis, and Clostridium disporicum showed an AUC of 0.743 in the specific allergic/non-allergic cohort. When integrating C. disporicum, flavone, flavonol biosynthesis, and serum IL-4 values, the AUC achieved 0.929 to classify asthmatics. At the same time, C. colinum and its associated functional pathway exhibited an AUC of 0.78 to distinguish allergic asthmatics from those without allergies. We demonstrated a distinct taxonomic composition of gut microbiota in different asthmatic phenotypes, highlighting their significant relationships. Our study may support considerations of intestinal microbial signatures in delineating asthma phenotypes.