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Inflammatory Joint Disease Is a Risk Factor for Streptococcal Sepsis and Septic Arthritis in Mice
(2020)
Septic arthritis is a medical emergency associated with high morbidity and mortality, yet hardly any novel advances exist for its clinical management. Despite septic arthritis being a global health burden, experimental data uncovering its etiopathogenesis remain scarce. In particular, any interplay between septic arthritis and preceding joint diseases are unknown as is the contribution of the synovial membrane to the onset of inflammation. Using C57BL/6 mice as a model to study sepsis, we discovered that Group A Streptococcus (GAS) – an important pathogen causing septic arthritis - was able to invade the articular microenvironment. Bacterial invasion resulted in the infiltration of immune cells and detrimental inflammation. In vitro infected fibroblast-like synoviocytes induced the expression of chemokines (Ccl2, Cxcl2), inflammatory cytokines (Tnf, Il6), and integrin ligands (ICAM-1, VCAM-1). Apart from orchestrating immune cell attraction and retention, synoviocytes also upregulated mediators impacting on bone remodeling (Rankl) and cartilage integrity (Mmp13). Using collagen-induced arthritis in DBA/1 × B10.Q F1 mice, we could show that an inflammatory joint disease exacerbated subsequent septic arthritis which was associated with an excessive release of cytokines and eicosanoids. Importantly, the severity of joint inflammation controlled the extent of bone erosions during septic arthritis. In order to ameliorate septic arthritis, our results suggest that targeting synoviocytes might be a promising approach when treating patients with inflammatory joint disease for sepsis.
Background: Methanogenic archaea represent a less investigated and likely underestimated part of the intestinal tract microbiome in swine.
Aims/Methods: This study aims to elucidate the archaeome structure and function in the porcine intestinal tract of healthy and H1N1 infected swine. We performed multi-omics analysis consisting of 16S rRNA gene profiling, metatranscriptomics and metaproteomics.
Results and discussion: We observed a significant increase from 0.48 to 4.50% of archaea in the intestinal tract microbiome along the ileum and colon, dominated by genera Methanobrevibacter and Methanosphaera. Furthermore, in feces of naïve and H1N1 infected swine, we observed significant but minor differences in the occurrence of archaeal phylotypes over the course of an infection experiment. Metatranscriptomic analysis of archaeal mRNAs revealed the major methanogenesis pathways of Methanobrevibacter and Methanosphaera to be hydrogenotrophic and methyl-reducing, respectively. Metaproteomics of archaeal peptides indicated some effects of the H1N1 infection on central metabolism of the gut archaea.
Conclusions/Take home message: Finally, this study provides the first multi-omics analysis and high-resolution insights into the structure and function of the porcine intestinal tract archaeome during a non-lethal Influenza A virus infection of the respiratory tract, demonstrating significant alterations in archaeal community composition and central metabolic functions.
Swine are regarded as promising biomedical models, but the dynamics of theirgastrointestinal microbiome have been much less investigated than that of humans or mice. The aimof this study was to establish an integrated multi-omics protocol to investigate the fecal microbiomeof healthy swine. To this end, a preparation and analysis protocol including integrated samplepreparation for meta-omics analyses of deep-frozen feces was developed. Subsequent data integrationlinked microbiome composition with function, and metabolic activity with protein inventories, i.e.,16S rRNA data and expressed proteins, and identified proteins with corresponding metabolites.16S rRNA gene amplicon and metaproteomics analyses revealed a fecal microbiome dominated byPrevotellaceae,Lactobacillaceae,Lachnospiraceae,RuminococcaceaeandClostridiaceae.Similar microbiomecompositions in feces and colon, but not ileum samples, were observed, showing that feces can serveas minimal-invasive proxy for porcine colon microbiomes. Longitudinal dynamics in composition,e.g., temporal decreased abundance ofLactobacillaceaeandStreptococcaceaeduring the experiment,were not reflected in microbiome function. Instead, metaproteomics and metabolomics showed arather stable functional state, as evident from short-chain fatty acids (SCFA) profiles and associatedmetaproteome functions, pointing towards functional redundancy among microbiome constituents.In conclusion, our pipeline generates congruent data from different omics approaches on the taxonomyand functionality of the intestinal microbiome of swine.