Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas.
Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas.
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儿童哮喘包括不同的表型群和独特的鼻腔微生物群。
DOI：
10.1186/s40168-018-0564-7
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发表时间：
2018-10-04
期刊：
影响因子：
15.5
通讯作者：
Freishtat RJ
中科院分区：
文献类型：
--
作者：
Pérez-Losada M;Authelet KJ;Hoptay CE;Kwak C;Crandall KA;Freishtat RJ
儿童哮喘是美国最常见的慢性儿童疾病，目前影响着 700万儿童。这种异质综合征被认为包括临床可观察特征的各种疾病表型，这些表型可以通过对患者临床信息应用聚类方法来统计识别。广泛的证据表明，呼吸道微生物群对儿童哮喘的临床异质性和发病机制都有影响。然而，到目前为止，在哮喘表型的研究中，呼吸道微生物一直被忽视。在这里，我们结合广泛的临床信息和16S rRNA高通量测序来表征163名儿童和青少年的鼻腔微生物区系，这些儿童和青少年聚集在不同的哮喘表型中。我们的聚类分析确定了三种统计上不同的儿童哮喘表型。至少95%的鼻部微生物中存在致病属莫拉氏菌、葡萄球菌、链球菌和嗜血杆菌的四种核心OTU。门(变形杆菌、放线杆菌和拟杆菌)和属(摩拉氏菌、棒状杆菌、多洛西格氏菌和普雷沃特氏菌)的丰度、群落组成和结构在哮喘表型和临床变量之一(早产)之间差异显著(0.05 <； P ≤ 0.0001)。类似地，细菌属共存的微生物网络揭示了不同哮喘表型的不同细菌相关性。这项研究表明，不同临床特征的哮喘儿童和青少年也表现出不同的鼻部细菌图谱，这表明该疾病的表型不同。我们的工作还展示了如何整合临床和微生物信息，以验证和完善哮喘分类系统，并开发疾病的生物标记物。本文的在线版本(10.1186/s401680180564-7)包含向授权用户提供的补充材料。
Pediatric asthma is the most common chronic childhood disease in the USA, currently affecting ~ 7 million children. This heterogeneous syndrome is thought to encompass various disease phenotypes of clinically observable characteristics, which can be statistically identified by applying clustering approaches to patient clinical information. Extensive evidence has shown that the airway microbiome impacts both clinical heterogeneity and pathogenesis in pediatric asthma. Yet, so far, airway microbiotas have been consistently neglected in the study of asthma phenotypes. Here, we couple extensive clinical information with 16S rRNA high-throughput sequencing to characterize the microbiota of the nasal cavity in 163 children and adolescents clustered into different asthma phenotypes. Our clustering analyses identified three statistically distinct phenotypes of pediatric asthma. Four core OTUs of the pathogenic genera Moraxella, Staphylococcus, Streptococcus, and Haemophilus were present in at least 95% of the studied nasal microbiotas. Phyla (Proteobacteria, Actinobacteria, and Bacteroidetes) and genera (Moraxella, Corynebacterium, Dolosigranulum, and Prevotella) abundances, community composition, and structure varied significantly (0.05 < P ≤ 0.0001) across asthma phenotypes and one of the clinical variables (preterm birth). Similarly, microbial networks of co-occurrence of bacterial genera revealed different bacterial associations across asthma phenotypes. This study shows that children and adolescents with different clinical characteristics of asthma also show different nasal bacterial profiles, which is indicative of different phenotypes of the disease. Our work also shows how clinical and microbial information could be integrated to validate and refine asthma classification systems and develop biomarkers of disease. The online version of this article (10.1186/s40168-018-0564-7) contains supplementary material, which is available to authorized users.
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影响因子：
15.5
作者：
Allen EK;Koeppel AF;Hendley JO;Turner SD;Winther B;Sale MM
通讯作者：
Sale MM
影响因子：
3.7
作者：
Bogaert D;Keijser B;Huse S;Rossen J;Veenhoven R;van Gils E;Bruin J;Montijn R;Bonten M;Sanders E
通讯作者：
Sanders E
影响因子：
158.5
作者：
Bisgaard, Hans;Hermansen, Mette Northman;Pipper, Christian Bressen
通讯作者：
Pipper, Christian Bressen
影响因子：
3
作者：
BOZDOGAN, H
通讯作者：
BOZDOGAN, H
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y