Peripheral blood microbial signatures in current and former smokers.
Peripheral blood microbial signatures in current and former smokers.
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当前和以前吸烟者的外周血微生物特征。
DOI：
10.1038/s41598-021-99238-4
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发表时间：
2021-10-06
影响因子：
4.6
通讯作者：
Hersh CP
中科院分区：
文献类型：
--
作者：
Morrow JD;Castaldi PJ;Chase RP;Yun JH;Lee S;Liu YY;Hersh CP
人类微生物组在多种疾病的发展中起着重要作用。尽管许多物种是共享的，但个体微生物组的概况是高度个性化的。了解人类微生物群与疾病之间的关系可能为未来的个体化治疗提供信息。我们假设血液微生物组特征可能是一些肺部微生物特征的替代品。我们寻找血液微生物组特征与肺相关宿主因子之间的关联。基于未映射到人类基因组的读数，我们通过二次使用来自COPDGene研究的2,590名患有或不患有慢性阻塞性肺疾病（COPD）的吸烟者和曾经吸烟者的外周血rna测序检测微生物核酸。我们使用基因组分析工具包（GATK）微生物管道PathSeq来推断微生物谱。我们测试了推断谱与肺部疾病相关表型之间的关联，并检查了与宿主基因表达途径的联系。我们使用来自1,065名COPDGene研究对象的第二组独立血液RNA-seq数据重复了我们的分析，并对两项研究进行了荟萃分析。在所有受试者中丰度最高的四个门是变形菌门、放线菌门、厚壁菌门和拟杆菌门。在我们的荟萃分析中，我们观察到不动杆菌、沙雷氏菌、链球菌和芽孢杆菌推断丰度与改良医学研究委员会（mMRC）呼吸困难评分之间的相关性（q值< 0.05）。吸烟状况与不动杆菌、沙雷氏菌和表皮菌的丰度相关（q < 0.05）。所有被调查的12个分类群都与至少一个白细胞分布变量相关。12个分类群中有9个与性别相关，7个与种族相关。宿主-微生物组相互作用分析揭示了与mMRC呼吸困难评分和吸烟状态相关的聚类属，通过与几种宿主途径的共享链接。这项研究首次在当前和以前的吸烟者的外周血中发现了一种细菌微生物特征。了解系统微生物特征与肺相关表型之间的关系可能会为新的干预措施提供信息，并有助于了解吸烟的系统影响。
The human microbiome has a role in the development of multiple diseases. Individual microbiome profiles are highly personalized, though many species are shared. Understanding the relationship between the human microbiome and disease may inform future individualized treatments. We hypothesize the blood microbiome signature may be a surrogate for some lung microbial characteristics. We sought associations between the blood microbiome signature and lung-relevant host factors. Based on reads not mapped to the human genome, we detected microbial nucleic acids through secondary use of peripheral blood RNA-sequencing from 2,590 current and former smokers with and without chronic obstructive pulmonary disease (COPD) from the COPDGene study. We used the Genome Analysis Toolkit (GATK) microbial pipeline PathSeq to infer microbial profiles. We tested associations between the inferred profiles and lung disease relevant phenotypes and examined links to host gene expression pathways. We replicated our analyses using a second independent set of blood RNA-seq data from 1,065 COPDGene study subjects and performed a meta-analysis across the two studies. The four phyla with highest abundance across all subjects were Proteobacteria, Actinobacteria, Firmicutes and Bacteroidetes. In our meta-analysis, we observed associations (q-value < 0.05) between Acinetobacter, Serratia, Streptococcus and Bacillus inferred abundances and Modified Medical Research Council (mMRC) dyspnea score. Current smoking status was associated (q < 0.05) with Acinetobacter, Serratia and Cutibacterium abundance. All 12 taxa investigated were associated with at least one white blood cell distribution variable. Abundance for nine of the 12 taxa was associated with sex, and seven of the 12 taxa were associated with race. Host-microbiome interaction analysis revealed clustering of genera associated with mMRC dyspnea score and smoking status, through shared links to several host pathways. This study is the first to identify a bacterial microbiome signature in the peripheral blood of current and former smokers. Understanding the relationships between systemic microbial signatures and lung-related phenotypes may inform novel interventions and aid understanding of the systemic effects of smoking.
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DOI：
10.1164/rccm.201508-1653oc
发表时间：
2016-12-15
影响因子：
24.7
作者：
Celli, Bartolome;Tetzlaff, Kay;Rennard, Stephen
通讯作者：
Rennard, Stephen
影响因子：
10
作者：
Einarsson, G. G.;Comer, D. M.;Elborn, J. S.
通讯作者：
Elborn, J. S.
影响因子：
10
作者：
Heijink, Irene H.;de Bruin, Harold G.;Postma, Dirkje S.
通讯作者：
Postma, Dirkje S.
影响因子：
5.8
作者：
Bouquet, Jerome;Tabor, David E.;Jin, Hong
通讯作者：
Jin, Hong
影响因子：
15.5
作者：
Davis, Nicole M;Proctor, Diana M;Callahan, Benjamin J
通讯作者：
Callahan, Benjamin J