Intact lung tissue and bronchoalveolar lavage fluid are both suitable for the evaluation of murine lung microbiome in acute lung injury
Lipopolysaccharides
0301 basic medicine
Bacteria
Research
Microbiota
QR100-130
Acute Lung Injury
Actinobacteriota
Lung microbiome
Microbial ecology
Mice
03 medical and health sciences
RNA, Ribosomal, 16S
Acute lung injury
Animals
16S rRNA
Bronchoalveolar Lavage Fluid
Lung
DOI:
10.1186/s40168-024-01772-6
Publication Date:
2024-03-18T02:01:58Z
AUTHORS (13)
ABSTRACT
Abstract
Background
Accumulating clinical evidence suggests that lung microbiome is closely linked to the progression of pulmonary diseases; however, it is still controversial which specimen type is preferred for the evaluation of lung microbiome.
Methods and results
To address this issue, we established a classical acute lung injury (ALI) mice model by intratracheal instillation of lipopolysaccharides (LPS). We found that the bacterial DNA obtained from the bronchoalveolar lavage fluid (BALF), intact lung tissue [Lung(i)], lung tissue after perfused [Lung(p)], and feces of one mouse were enough for 16S rRNA sequencing, except the BALF of mice treated with phosphate buffer saline (PBS), which might be due to the biomass of lung microbiome in the BALF were upregulated in the mice treated with LPS. Although the alpha diversity among the three specimens from lungs had minimal differences, Lung(p) had higher sample-to-sample variation compared with BALF and Lung(i). Consistently, PCoA analysis at phylum level indicated that BALF was similar to Lung(i), but not Lung(p), in the lungs of mice treated with LPS, suggesting that BALF and Lung(i) were suitable for the evaluation of lung microbiome in ALI. Importantly, Actinobacteria and Firmicutes were identified as the mostly changed phyla in the lungs and might be important factors involved in the gut-lung axis in ALI mice. Moreover, Actinobacteria and Proteobacteria might play indicative roles in the severity of lung injury.
Conclusion
This study shows both Lung(i) and BALF are suitable for the evaluation of murine lung microbiome in ALI, and several bacterial phyla, such as Actinobacteria, may serve as potential biomarkers for the severity of ALI.
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