Peripheral blood microbial signatures in current and former smokers
Autor: | Jarrett D. Morrow, Craig P. Hersh, Robert P. Chase, Sool Lee, Jeong H. Yun, Yang-Yu Liu, Peter J. Castaldi |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Male
Firmicutes Science Disease Genome Article Pulmonary Disease Chronic Obstructive Meta-Analysis as Topic Sepsis White blood cell medicine Sequencing Humans Genetic Predisposition to Disease Microbiome Lung Aged Aged 80 and over Genetics COPD Smokers Multidisciplinary Host Microbial Interactions biology Microbiota Smoking Human microbiome Bacteroidetes Genomics Middle Aged biology.organism_classification medicine.disease Respiratory Function Tests medicine.anatomical_structure Host-Pathogen Interactions Medicine Female Gene expression Disease Susceptibility Microbial genetics Follow-Up Studies |
Zdroj: | Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021) Scientific Reports |
ISSN: | 2045-2322 |
Popis: | 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 Acinetobacter, Serratia, Streptococcus and Bacillus inferred abundances and Modified Medical Research Council (mMRC) dyspnea score. Current smoking status was associated (q 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. |
Databáze: | OpenAIRE |
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