The nasal microbiome in asthma.
The nasal microbiome in asthma.
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DOI：
10.1016/j.jaci.2018.02.020
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发表时间：
2018-09
期刊：
影响因子：
--
通讯作者：
Bunyavanich S
中科院分区：
文献类型：
--
作者：
Fazlollahi M;Lee TD;Andrade J;Oguntuyo K;Chun Y;Grishina G;Grishin A;Bunyavanich S
鼻腔微生物区系可能影响哮喘的病理生物学。我们试图对哮喘急性发作期患者、非急性发作期哮喘患者和健康对照组的鼻部微生物群进行特征分析，以确定与哮喘活动相关的鼻部微生物区系。对72例成人哮喘急性发作期(n=20)、非急性发作期哮喘(n=31)和健康对照组(n=21)的鼻拭子进行16S rRNA测序。使用QIIME、LEFSE、PICRUST和STAMP进行分析。用定量聚合酶链式反应对发现的与哮喘活动相关的物种进行验证。通过元基因组功能预测，还推测了与鼻部分类群不同丰富相关的代谢途径。哮喘急性发作期、非发作期和健康对照组之间鼻腔细菌组成有显著差异(PERMANOVA P=2.2×10-2)。与对照组相比，哮喘患者鼻腔微生物区系富含类杆菌(Wilcoxon-Mann-Whitney r=0.33，P=5.1×10-3)和变形杆菌(r=0.29，P=1.4×10-2)。经多重比较校正后，有4个种的数量不同：口腔普氏原虫，Padj=1.0×10-2；不测斑潜蝇，Padj=9.1×10-3；阴道加德纳氏菌，Padj=2.8×10-3；香港碱藻，Padj=2.6×10-3。根据哮喘的活动性，这些门和物种也是不同的丰富的(加剧的哮喘与非加剧的哮喘与对照组相比)。定量聚合酶链式反应证实，与对照组相比，哮喘患者中口腔普氏杆菌(倍数变化=130，P=2.1×10-4)和阴道加德纳菌(倍数变化160，P=6.8×10-4)的物种过度表达。元基因组学推断，甘油脂代谢的差异(Kruskal-Wallis P=1.9×10-4)与哮喘活动度有关。哮喘急性发作期患者、非急性发作期哮喘患者和健康对照组的鼻部微生物组组成不同。已确定的鼻部分类群可以进一步研究在哮喘中的潜在机制作用，以及作为哮喘活动的可能生物标志物。
Nasal microbiota may influence asthma pathobiology. We sought to characterize the nasal microbiome of subjects with exacerbated asthma, non-exacerbated asthma, and healthy controls to identify nasal microbiota associated with asthma activity. 16S rRNA sequencing was performed on nasal swabs obtained from 72 primarily adult subjects with exacerbated asthma (n=20), non-exacerbated asthma (n=31), and healthy controls (n=21). Analyses were performed using QIIME, LEfSe, PICRUSt, and STAMP. Species found to be associated with asthma activity were validated using quantitative PCR. Metabolic pathways associated with differentially abundant nasal taxa were also inferred through metagenomic functional prediction. Nasal bacterial composition significantly differed between subjects with exacerbated asthma, non-exacerbated asthma, and healthy controls (PERMANOVA P=2.2×10-2). Relative to controls, the nasal microbiota of subjects with asthma were enriched with taxa from Bacteroidetes (Wilcoxon-Mann-Whitney r=0.33, P=5.1×10-3) and Proteobacteria (r=0.29, P=1.4×10-2). Four species were differentially abundant based on asthma status after correction for multiple comparisons: Prevotella buccalis, Padj=1.0×10-2; Dialister invisus, Padj=9.1×10-3; Gardnerella vaginalis, Padj=2.8×10-3; Alkanindiges hongkongensis, Padj=2.6×10-3. These phyla and species were also differentially abundant based on asthma activity (exacerbated asthma vs. non-exacerbated asthma vs. controls). qPCR confirmed species overrepresentation in asthma relative to controls for Prevotella buccalis (fold change=130, P=2.1×10-4) and Gardnerella vaginalis (fold change 160, P=6.8×10-4). Metagenomic inference revealed differential glycerolipid metabolism (Kruskal-Wallis P=1.9×10-4) based on asthma activity. Nasal microbiome composition differs in subjects with exacerbated asthma, non-exacerbated asthma, and healthy controls. The identified nasal taxa could be further investigated for potential mechanistic roles in asthma and as possible biomarkers of asthma activity.
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影响因子：
158.5
作者：
Bisgaard, Hans;Hermansen, Mette Northman;Pipper, Christian Bressen
通讯作者：
Pipper, Christian Bressen
DOI：
10.1016/j.jinf.2004.08.002
发表时间：
2005-08-01
期刊：
The Journal of infection
影响因子：
--
作者：
Calvert, L D;Collins, M;Bateman, J R M
通讯作者：
Bateman, J R M
DOI：
10.1164/rccm.201304-0775oc
发表时间：
2013-11-15
影响因子：
24.7
作者：
Goleva, Elena;Jackson, Leisa P.;Leung, Donald Y. M.
通讯作者：
Leung, Donald Y. M.
影响因子：
9.4
作者：
Bahrani-Mougeot, Farah K.;Paster, Bruce J.;Lockhart, Peter B.
通讯作者：
Lockhart, Peter B.
影响因子：
9.4
作者：
Domann, E;Hong, G;Chakraborty, T
通讯作者：
Chakraborty, T