Biology subjects

Kuehnast, T.

Publications and source records attributed to Kuehnast, T..

3 recordsLinked to original sources

bioRxiv2024

Computational metabolic modeling unveils gut microbiomes role in metabolic shifts during murine cancer cachexia

Cancer cachexia is a multifactorial syndrome characterized by involuntary weight loss, muscle wasting, systemic inflammation, and metabolic alterations, affecting up to 87% of pancreatic and gastric cancer patients. Unlike simple starvation, cachexia is driven by metabolic disruption involving both host physiology and the gut microbiome. While microbiome changes in cachexia have been documented, a coherent understanding of how these changes translate into functional metabolic shifts remains elusive. In this study, we combined in vivo fecal and plasma metabolomic analyses with a novel computational microbiome simulation pipeline to identify cachexia-associated microbial metabolites. Using the murine MCA207 tumor line and its cachectic derivative CHX207, we differentiated microbiome changes driven by cachexia from those induced by tumor growth. Our computational tool, McMurGut, a murine-tailored extension of MICOM, enabled simulation of microbial metabolic interactions specific to the mouse microbiome, covering 91% of identified genera. We identified significant abundance changes in 35 microbial genera and corresponding shifts in metabolite production, including reductions in short-chain fatty acids (SCFAs) like acetate and butyrate, alongside increased production of galactose, formate, and propionate. Notably, decreases in SCFA production, particularly by genera such as Faecalibaculum and Dubosiella, correlated with exacerbated cachectic symptoms. Additionally, the elevated production of formate and galactose, primarily by Bacteroides and Lactobacillus, suggested altered fermentation pathways in cachexia, potentially linked to increased mucus degradation. Validation of our computational predictions via NMR metabolomics highlighted key congruencies between predicted and experimentally observed metabolites, supporting the role of microbiome-driven metabolic shifts in cachexia pathology. These findings provide crucial insights into the microbiomes involvement in cachexia and suggest future avenues for therapeutic interventions aimed at modulating microbial taxa and their metabolic outputs to improve patient outcomes.

microbiology↗

bioRxiv2024

Proteomic and Metabolomic Profiling of Archaeal Extracellular Vesicles from the Human Gut

One potential mechanism for microbiome-host, and microbiome constituents interaction and communication involves extracellular vesicles (EVs). Here, for the first time, we report the capability of two M. smithii strains (ALI and GRAZ-2), Candidatus M. intestini, and Methanosphaera stadtmanae, as underrepresented components of the gut microbiome, to produce EVs. Interesting, size, morphology, and composition of AEVs were comparable to bacterial EVs, as indicated by ultrastructure, composition, proteomic and metabolomic analyses; however, EVs were substantially less prevalent in the studied Archaea. When looking at the proteomics more precisely, although AEVs from M. smithii ALI and M. intestini were found to be carrying unique proteins (n=135 and n=30, respectively), the shared proteins in AEVs within this genus (n=229), were mostly adhesins(/like) proteins, or proteins with IG-like domains. One remarkable observation was the uptake of AEVs obtained from Methanosphaera stadtmanae and the studied Methanobrevibacter species by human monocytes and the subsequent IL-8 secretion.

microbiology↗

bioRxiv2024

Expanding the cultivated human archaeome by targeted isolation of novel Methanobrevibacter strains from fecal samples

Archaea are integral components of the human microbiome but persist as understudied entities within the gastrointestinal tract (GIT), primarily due to the lack of cultured representatives for comprehensive mechanistic investigations. With only four Methanobrevibacter smithii isolates from humans available according to the Global Catalogue of Microorganisms (GCM), the existing cultures fail to adequately represent the observed diversity, as underscored by recent findings. This study introduces a targeted cultivation method for enriching methanogenic archaea from human fecal samples. Applied to 16 stool samples from healthy and diseased donors, the method aimed to genomically characterize the archaeal cultures and establish correlations with gastrointestinal disorders. The procedure combines methane breath testing, in silico metabolic modelling, media optimization, FACS, dilution series, and genomic sequencing through Nanopore technology. Additional analyses include co-cultured bacteriome, comparative genomics of archaeal genomes, functional comparisons, and structure-based protein function prediction of unknown differential traits. Successful establishment of stable archaeal cultures from 14 out of 16 fecal samples yielded nine previously uncultivated strains, eight of which were absent from a recent archaeome genome catalog. Comparative genomic and functional assessments of Methanobrevibacter smithii and Candidatus Methanobrevibacter intestini strains from diverse participant cohorts revealed features potentially associated with gastrointestinal diseases. This work substantially broadens the scope of available archaeal representatives for functional and mechanistic studies in the human GIT. The established protocol facilitates the cultivation of methanogenic archaea from nearly every human fecal sample, offering insights into the adaptability of Candidatus Methanobrevibacter intestini genomes in critical microbiome situations.

microbiology↗