Dysbiosis of lower respiratory tract microbiome are associated with inflammation and microbial function variety

• DOI: 10.1186/s12931-019-1246-0
• Publication Date: 2019-12-03T08:03:25Z
• Authors: Kang-jie Li; Zi-long Chen; Yao Huang; Rui Zhang; Xiao-qian Luan; Ting-ting Lei; Ling Chen
• Keywords: Respiratory tract; Dysbiosis

Abstract Background Lower respiratory tract (LRT) microbiome has been reported to associate with pulmonary diseases. Unregulated inflammation is an underlying cause of variable lung The may play important role in the smoking-induced inflammatory What’s more, function be more for understanding how microbes interact host. Our study aims explore effects smoking on lower microbiome, association between variation and whether exposure changes microbime. Methods Forty male mice were randomly divided into group non-smoking group, was exposed cigarette smoke 2 h per day 90 days. After experiment, blood samples collected measure concentration interleukin-6 (IL-6) C reactive protein (CRP) by ELISA. Lung tissue used detect community diversity through 16S rRNA gene quantification sequencing technology. ANOSIM STAMP performed analyze differences microbial structure group. SPSS 24.0 software correlations mediators scatter plots Spearman correlation coefficient. Microbial metabolic predicted PICRUSt based 16 s results. PATRIC database searched potential pathogenic bacteria tract. Results results suggested that had markedly microbiota Bray-Curtis distance (R = 0.084, p 0.005) unweighted uniFrac 0.131, 0.002). Smoking mainly affected abundance which belong Proteobacteria phyla Firmicutes phyla. Moreover, our also found increased Acinetobacter , Bacillus Staphylococcus defined as bacteria. Inflammatory observed certain at every level. Most associated belonged or we decreased including Oceanospirillales Desulfuromonadales, Nesterenkonia Lactobacillaceae, all negatively correlated IL-6 CRP. Based level inflammation, differs. At genus level, Lactobacillus Pelagibacterium, Geobacter Zoogloea significantly higher concentration. not any statistical difference subgroups different weight. Three dominant genus, pathogen, functional prediction analysis revealed ABC-type transport systems, transcription factors, amino acide metabolism, arginine proline metabolism et al. distinctively while proportions replication, recombination repair, ribosome, DNA repair proteins (q < 0.05). Conclusions Members played composition keeping a relatively balanced homeostasis. Microbiome dysbiosis might break balance immune system drive inflammation. There exist probiotics tract, such Lactobacillaceae . altered under affect physiological homeostasis