• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

比较 COPD 患者诱导痰和自然咳痰样本中的微生物群特征。

Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients.

机构信息

Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway.

Department of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway.

出版信息

Respir Res. 2017 Aug 29;18(1):164. doi: 10.1186/s12931-017-0645-3.

DOI:10.1186/s12931-017-0645-3
PMID:28851370
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5576328/
Abstract

BACKGROUND

Induced and spontaneous sputum are used to evaluate the airways microbiota. Whether the sputum types can be used interchangeably in microbiota research is unknown. Our aim was to compare microbiota in induced and spontaneous sputum from COPD patients sampled during the same consultation.

METHODS

COPD patients from Bergen, Norway, were followed between 2006/2010, examined during the stable state and exacerbations. 30 patients delivered 36 sample pairs. DNA was extracted by enzymatic and mechanical lysis methods. The V3-V4 region of the 16S rRNA gene was PCR-amplified and prepared for paired-end sequencing. Illumina Miseq System was used for sequencing, and Quantitative Insights Into Microbial Ecology (QIIME) and Stata were used for bioinformatics and statistical analyses.

RESULTS

Approximately 4 million sequences were sorted into 1004 different OTUs and further assigned to 106 different taxa. Pair-wise comparison of both taxonomic composition and beta-diversity revealed significant differences in one or both parameters in 1/3 of sample pairs. Alpha-diversity did not differ. Comparing abundances for each taxa identified, showed statistically significant differences between the mean abundances in induced versus spontaneous samples for 15 taxa when disease state was considered. This included potential pathogens like Haemophilus and Moraxella.

CONCLUSION

When studying microbiota in sputum samples one should take into consideration how samples are collected and avoid the usage of both induced and spontaneous sputum in the same study.

摘要

背景

诱导痰和自发性痰常用于评估气道微生物群。在微生物群研究中,这两种痰标本是否可以互换使用尚不清楚。我们的目的是比较在同一次就诊期间采集的 COPD 患者的诱导痰和自发性痰中的微生物群。

方法

挪威卑尔根的 COPD 患者在 2006/2010 年期间接受随访,在稳定期和加重期进行检查。30 名患者提供了 36 对样本。通过酶和机械裂解方法提取 DNA。PCR 扩增 16S rRNA 基因的 V3-V4 区,并准备进行双端测序。使用 Illumina Miseq 系统进行测序,使用 Quantitative Insights Into Microbial Ecology (QIIME) 和 Stata 进行生物信息学和统计分析。

结果

大约 400 万个序列被分为 1004 个不同的 OTUs,并进一步分配到 106 个不同的分类群。通过对分类组成和β多样性进行两两比较,在 1/3 的样本对中发现了一个或两个参数存在显著差异。α多样性没有差异。当考虑疾病状态时,比较每个分类群的丰度,发现 15 个分类群的诱导样本与自发性样本的平均丰度存在统计学显著差异,其中包括潜在的病原体如嗜血杆菌和莫拉菌。

结论

在研究痰样本中的微生物群时,应考虑到样本的采集方式,并避免在同一研究中同时使用诱导痰和自发性痰。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8149/5576328/f74c5a554a22/12931_2017_645_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8149/5576328/f2c685656c48/12931_2017_645_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8149/5576328/fdd91340db3a/12931_2017_645_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8149/5576328/f74c5a554a22/12931_2017_645_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8149/5576328/f2c685656c48/12931_2017_645_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8149/5576328/fdd91340db3a/12931_2017_645_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8149/5576328/f74c5a554a22/12931_2017_645_Fig3_HTML.jpg

相似文献

1
Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients.比较 COPD 患者诱导痰和自然咳痰样本中的微生物群特征。
Respir Res. 2017 Aug 29;18(1):164. doi: 10.1186/s12931-017-0645-3.
2
Chronic obstructive pulmonary disease upper airway microbiota alpha diversity is associated with exacerbation phenotype: a case-control observational study.慢性阻塞性肺疾病上呼吸道微生物群落 α 多样性与加重表型相关:一项病例对照观察性研究。
Respir Res. 2019 Jun 7;20(1):114. doi: 10.1186/s12931-019-1080-4.
3
Sputum microbiota and inflammation at stable state and during exacerbations in a cohort of chronic obstructive pulmonary disease (COPD) patients.稳定期和慢性阻塞性肺疾病(COPD)患者加重期痰液微生物群和炎症。
PLoS One. 2019 Sep 17;14(9):e0222449. doi: 10.1371/journal.pone.0222449. eCollection 2019.
4
Airway host-microbiome interactions in chronic obstructive pulmonary disease.慢性阻塞性肺疾病中的气道宿主-微生物组相互作用。
Respir Res. 2019 Jun 6;20(1):113. doi: 10.1186/s12931-019-1085-z.
5
Chronic obstructive pulmonary disease upper airway microbiome is associated with select clinical characteristics.慢性阻塞性肺疾病上呼吸道微生物群与某些临床特征有关。
PLoS One. 2019 Jul 23;14(7):e0219962. doi: 10.1371/journal.pone.0219962. eCollection 2019.
6
Analysis of the bacterial community in chronic obstructive pulmonary disease sputum samples by denaturing gradient gel electrophoresis and real-time PCR.变性梯度凝胶电泳和实时 PCR 分析慢性阻塞性肺疾病痰样本中的细菌群落。
BMC Pulm Med. 2014 Nov 18;14:179. doi: 10.1186/1471-2466-14-179.
7
Community dynamics and the lower airway microbiota in stable chronic obstructive pulmonary disease, smokers and healthy non-smokers.稳定期慢性阻塞性肺疾病、吸烟者和健康非吸烟者的社区动态与下呼吸道微生物群。
Thorax. 2016 Sep;71(9):795-803. doi: 10.1136/thoraxjnl-2015-207235. Epub 2016 May 4.
8
Symptom-related sputum microbiota in stable chronic obstructive pulmonary disease.稳定期慢性阻塞性肺疾病中与症状相关的痰液微生物群
Int J Chron Obstruct Pulmon Dis. 2018 Jul 30;13:2289-2299. doi: 10.2147/COPD.S167618. eCollection 2018.
9
Comparison of inflammatory markers in induced and spontaneous sputum in a cohort of COPD patients.慢性阻塞性肺疾病(COPD)患者队列中诱导痰和自然咳痰中炎症标志物的比较。
Respir Res. 2014 Nov 15;15(1):138. doi: 10.1186/s12931-014-0138-6.
10
The Sputum Microbiome in Chronic Obstructive Pulmonary Disease Exacerbations.慢性阻塞性肺疾病急性加重期的痰液微生物组
Ann Am Thorac Soc. 2015 Nov;12 Suppl 2(Suppl 2):S176-80. doi: 10.1513/AnnalsATS.201506-319AW.

引用本文的文献

1
Bacterial interactome disturbance in chronic obstructive pulmonary disease clinical stability and exacerbations.慢性阻塞性肺疾病临床稳定期和加重期细菌相互作用组紊乱。
Respir Res. 2024 Apr 20;25(1):173. doi: 10.1186/s12931-024-02802-5.
2
Differential airway resistome and its correlations with clinical characteristics in Haemophilus- or Pseudomonas-predominant microbial subtypes of bronchiectasis.支气管扩张症中以流感嗜血杆菌或铜绿假单胞菌为主的微生物亚型的气道差异抗性组及其与临床特征的相关性。
Respir Res. 2023 Nov 2;24(1):264. doi: 10.1186/s12931-023-02562-8.
3
Azithromycin alters spatial and temporal dynamics of airway microbiota in idiopathic pulmonary fibrosis.

本文引用的文献

1
Antimicrobial peptide levels are linked to airway inflammation, bacterial colonisation and exacerbations in chronic obstructive pulmonary disease.抗菌肽水平与慢性阻塞性肺疾病的气道炎症、细菌定植和恶化有关。
Eur Respir J. 2017 Mar 15;49(3). doi: 10.1183/13993003.01328-2016. Print 2017 Mar.
2
Early infancy microbial and metabolic alterations affect risk of childhood asthma.婴儿早期微生物和代谢改变会影响儿童哮喘的发病风险。
Sci Transl Med. 2015 Sep 30;7(307):307ra152. doi: 10.1126/scitranslmed.aab2271.
3
Determinants of bacteriological outcomes in exacerbations of chronic obstructive pulmonary disease.
阿奇霉素改变特发性肺纤维化患者气道微生物群的时空动态。
ERJ Open Res. 2023 May 22;9(3). doi: 10.1183/23120541.00720-2022. eCollection 2023 May.
4
Lung Mycobiota α-Diversity Is Linked to Severity in Critically Ill Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease.肺部真菌群的α多样性与慢性阻塞性肺疾病急性加重期重症患者的病情严重程度相关。
Microbiol Spectr. 2023 Mar 28;11(2):e0506222. doi: 10.1128/spectrum.05062-22.
5
A Systematic Review and Meta-Analysis of the Prevalence and Impact of Pulmonary Bacterial Colonisation in Stable State Chronic Obstructive Pulmonary Disease (COPD).稳定期慢性阻塞性肺疾病(COPD)患者肺部细菌定植的患病率及影响的系统评价和荟萃分析
Biomedicines. 2021 Dec 31;10(1):81. doi: 10.3390/biomedicines10010081.
6
Repeated bronchoscopy in health and obstructive lung disease: is the airway microbiome stable?健康人群和阻塞性肺疾病患者中支气管镜的重复检查:气道微生物组稳定吗?
BMC Pulm Med. 2021 Nov 2;21(1):342. doi: 10.1186/s12890-021-01687-0.
7
The lung microbiome: progress and promise.肺部微生物组:进展与前景。
J Clin Invest. 2021 Aug 2;131(15). doi: 10.1172/JCI150473.
8
Molecular Mechanisms of Lipid Metabolism Disorders in Infectious Exacerbations of Chronic Obstructive Pulmonary Disease.脂质代谢紊乱在慢性阻塞性肺疾病感染加重中的分子机制。
Int J Mol Sci. 2021 Jul 17;22(14):7634. doi: 10.3390/ijms22147634.
9
Association of exacerbation phenotype with the sputum microbiome in chronic obstructive pulmonary disease patients during the clinically stable state.慢性阻塞性肺疾病患者临床稳定期痰液微生物组与加重表型的相关性研究。
J Transl Med. 2021 Mar 23;19(1):121. doi: 10.1186/s12967-021-02788-4.
10
Bacteria and sputum inflammatory cell counts; a COPD cohort analysis.细菌和痰炎症细胞计数;COPD 队列分析。
Respir Res. 2020 Nov 1;21(1):289. doi: 10.1186/s12931-020-01552-4.
慢性阻塞性肺疾病急性加重期细菌学结果的决定因素
Infection. 2016 Feb;44(1):65-76. doi: 10.1007/s15010-015-0833-3. Epub 2015 Sep 14.
4
Microbial ecosystems are dominated by specialist taxa.微生物生态系统由专性分类群主导。
Ecol Lett. 2015 Sep;18(9):974-82. doi: 10.1111/ele.12478. Epub 2015 Aug 6.
5
Dysbiosis of upper respiratory tract microbiota in elderly pneumonia patients.老年肺炎患者上呼吸道微生物群失调
ISME J. 2016 Jan;10(1):97-108. doi: 10.1038/ismej.2015.99. Epub 2015 Jul 7.
6
The UniFrac significance test is sensitive to tree topology.UniFrac显著性检验对系统发育树拓扑结构敏感。
BMC Bioinformatics. 2015 Jul 7;16(1):211. doi: 10.1186/s12859-015-0640-y.
7
Understanding Bland Altman analysis.理解布兰德-奥特曼分析。
Biochem Med (Zagreb). 2015 Jun 5;25(2):141-51. doi: 10.11613/BM.2015.015. eCollection 2015.
8
Airway bacteria measured by quantitative polymerase chain reaction and culture in patients with stable COPD: relationship with neutrophilic airway inflammation, exacerbation frequency, and lung function.通过定量聚合酶链反应和培养法测定稳定期慢性阻塞性肺疾病患者气道细菌:与中性粒细胞性气道炎症、急性加重频率及肺功能的关系
Int J Chron Obstruct Pulmon Dis. 2015 Jun 9;10:1075-83. doi: 10.2147/COPD.S80091. eCollection 2015.
9
Patients with chronic obstructive pulmonary disease and chronically colonized with Haemophilus influenzae during stable disease phase have increased airway inflammation.慢性阻塞性肺疾病患者在疾病稳定期长期被流感嗜血杆菌定植,其气道炎症会加重。
Int J Chron Obstruct Pulmon Dis. 2015 May 4;10:881-9. doi: 10.2147/COPD.S78748. eCollection 2015.
10
Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity.操作分类单元的稳定性:分析微生物多样性的一个重要但被忽视的特性。
Microbiome. 2015 May 20;3:20. doi: 10.1186/s40168-015-0081-x. eCollection 2015.