The putative Akkermansia muciniphilia was found in lung and in one caecum sample and is especially interesting as it is a mucin degrading bacterium and has been shown to influence gut mucus layer thickness [44]. Recently, it was reported that Akkermansia muciniphilia is present in BALB/c caecum but not in fecal samples. The overall BALB/c caecal microbiome found in our study is also confirmed with the dominant phyla being Firmicutes (69.99%) and Bacteroidetes (22.07%) [45]. The presence of Akkermansia muciniphilia in the lung mucus layer Lorlatinib datasheet could be of importance in asthma characterized by thickening of the epithelium and increased mucus Vismodegib in vivo production [46]. Most of the lung-associated bacteria that we identified

in Additional file 2: Table S2 could only be found in the

mouse lung and vagina samples but not in the caecum. Bifidobacterium animalis subsp. lactis, and Lactobacillus acidophilus NCFM were added to the list of interesting species because of their use as probiotic bacteria in various mouse models and humans, and it would be interesting to know whether or not these bacteria are present in an unchallenged model. We GSK872 nmr found OTUs matching Bifidobacterium animalis subsp. lactis, Bifidobacterium longum subsp. longum and Lactobacillus reutieri the latter two not being on our list, in lung samples, but not in any caecum samples. Bifidobacterium longum subsp. longum have been found in ADAMTS5 human (meconium) and is regarded as one of the first colonisers

of the gut originating from the mother [36]. Several strains of Lactobacillus have been shown to modulate allergic pulmonary inflammation, whereas Lactobacillus reuteri has been shown to reduce inflammation in BALB/c mice [47, 48]. Impact on animal models of inflammatory lung disease The influence of gut microbiota on lung immunity has been vastly explored and several studies have linked changes in the gut microbiome with changes in lung immunity in mice [42, 49–51]. As it is becoming clear that the microbiome of the animal used in a particular model influences that animal’s immune status and ultimately affects the outcome of experiments, it is important to take precautions in the model design. Things known to influence gut microbiome composition in laboratory mice include probiotics, antibiotics, stress, handling, vendor/site of breeding and animal lineages [52–55] and it is possible that these factors will affect the lung microbiota as well. Most studies done on gut microbiota and lung immunity do not take lung residing bacteria into account when the data are interpreted. It is possible that the local lung effects seen could be the results of changes in the lung as well as in the gut. In our studies we always use age matched female mice from the same site of breeding (lot number) and distribution of the mice equally between groups as to avoid any littermate bias.