Hasegawa Kohei, Linnemann Rachel W, Mansbach Jonathan M, Ajami Nadim J, Espinola Janice A, Petrosino Joseph F, Piedra Pedro A, Stevenson Michelle D, Sullivan Ashley F, Thompson Amy D, Camargo Carlos A
From the *Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; †Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia; ‡Department of Medicine, Boston Children's Hospital, Boston, Massachusetts; §Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas; ¶Department of Molecular Virology and Microbiology, and Pediatrics, Baylor College of Medicine, Houston, Texas; ‖Department of Pediatrics, University of Louisville, Louisville, Kentucky; and **Alfred I. duPont Hospital for Children, Wilmington, Delaware.
Pediatr Infect Dis J. 2017 Nov;36(11):1044-1051. doi: 10.1097/INF.0000000000001500.
Little is known about the relationship of airway microbiota with bronchiolitis in infants. We aimed to identify nasal airway microbiota profiles and to determine their association with the likelihood of bronchiolitis in infants.
A case-control study was conducted. As a part of a multicenter prospective study, we collected nasal airway samples from 40 infants hospitalized with bronchiolitis. We concurrently enrolled 110 age-matched healthy controls. By applying 16S ribosomal RNA gene sequencing and an unbiased clustering approach to these 150 nasal samples, we identified microbiota profiles and determined the association of microbiota profiles with likelihood of bronchiolitis.
Overall, the median age was 3 months and 56% were male. Unbiased clustering of airway microbiota identified 4 distinct profiles: Moraxella-dominant profile (37%), Corynebacterium/Dolosigranulum-dominant profile (27%), Staphylococcus-dominant profile (15%) and mixed profile (20%). Proportion of bronchiolitis was lowest in infants with Moraxella-dominant profile (14%) and highest in those with Staphylococcus-dominant profile (57%), corresponding to an odds ratio of 7.80 (95% confidence interval, 2.64-24.9; P < 0.001). In the multivariable model, the association between Staphylococcus-dominant profile and greater likelihood of bronchiolitis persisted (odds ratio for comparison with Moraxella-dominant profile, 5.16; 95% confidence interval, 1.26-22.9; P = 0.03). By contrast, Corynebacterium/Dolosigranulum-dominant profile group had low proportion of infants with bronchiolitis (17%); the likelihood of bronchiolitis in this group did not significantly differ from those with Moraxella-dominant profile in both unadjusted and adjusted analyses.
In this case-control study, we identified 4 distinct nasal airway microbiota profiles in infants. Moraxella-dominant and Corynebacterium/Dolosigranulum-dominant profiles were associated with low likelihood of bronchiolitis, while Staphylococcus-dominant profile was associated with high likelihood of bronchiolitis.
关于气道微生物群与婴儿细支气管炎之间的关系,人们了解甚少。我们旨在确定鼻气道微生物群谱,并确定它们与婴儿患细支气管炎可能性之间的关联。
进行了一项病例对照研究。作为一项多中心前瞻性研究的一部分,我们从40例因细支气管炎住院的婴儿中采集了鼻气道样本。同时,我们招募了110名年龄匹配的健康对照。通过对这150份鼻样本应用16S核糖体RNA基因测序和无偏聚类方法,我们确定了微生物群谱,并确定了微生物群谱与患细支气管炎可能性之间的关联。
总体而言,中位年龄为3个月,56%为男性。气道微生物群的无偏聚类确定了4种不同的谱型:莫拉克斯氏菌主导型谱型(37%)、棒状杆菌/多尔西格兰ulum主导型谱型(27%)、葡萄球菌主导型谱型(15%)和混合谱型(20%)。在莫拉克斯氏菌主导型谱型的婴儿中,细支气管炎的比例最低(14%),在葡萄球菌主导型谱型的婴儿中最高(57%),对应的优势比为7.80(95%置信区间,2.64 - 24.9;P < 0.001)。在多变量模型中,葡萄球菌主导型谱型与患细支气管炎可能性增加之间的关联仍然存在(与莫拉克斯氏菌主导型谱型相比的优势比为5.16;95%置信区间,1.26 - 22.9;P = 0.03)。相比之下,棒状杆菌/多尔西格兰ulum主导型谱型组中患细支气管炎的婴儿比例较低(17%);在未调整和调整分析中,该组患细支气管炎的可能性与莫拉克斯氏菌主导型谱型组相比均无显著差异。
在这项病例对照研究中,我们确定了婴儿中4种不同的鼻气道微生物群谱。莫拉克斯氏菌主导型和棒状杆菌/多尔西格兰ulum主导型谱型与患细支气管炎的可能性较低相关,而葡萄球菌主导型谱型与患细支气管炎的可能性较高相关。