Browsing by Author "Trezzi, Jean-Pierre"
Now showing 1 - 4 of 4
- Results Per Page
- Sort Options
- Some of the metrics are blocked by yourconsent settingsDistinct metabolomic signature in cerebrospinal fluid in early parkinson's disease(2017)
;Trezzi, Jean-Pierre ;Galozzi, Sara ;Jaeger, Christian ;Barkovits, Katalin ;Brockmann, Kathrin ;Maetzler, Walter ;Berg, Daniela ;Marcus, Katrin ;Betsou, Fay ;Hiller, Karsten - Some of the metrics are blocked by yourconsent settingsMetabolic profiling of body fluids and multivariate data analysis(2017)
;Trezzi, Jean-Pierre ;Jäger, Christian ;Galozzi, Sara ;Barkovits, Katalin ;Marcus, Katrin; Hiller, Karsten - Some of the metrics are blocked by yourconsent settingsSystematic characterization of human gut microbiome-secreted molecules by integrated multi-omics(2021)
;De Saedeleer, Bianca ;Malabirade, Antoine ;Ramiro-Garcia, Javier ;Habier, Janine ;Trezzi, Jean-Pierre ;Peters, Samantha L. ;Daujeumont, Annegrät; ;Jäger, Christian ;Busi, Susheel Bhanu ;Wilmes, PaulAbstract The human gut microbiome produces a complex mixture of biomolecules that interact with human physiology and play essential roles in health and disease. Crosstalk between micro-organisms and host cells is enabled by different direct contacts, but also by the export of molecules through secretion systems and extracellular vesicles. The resulting molecular network, comprised of various biomolecular moieties, has so far eluded systematic study. Here we present a methodological framework, optimized for the extraction of the microbiome-derived, extracellular biomolecular complement, including nucleic acids, (poly)peptides, and metabolites, from flash-frozen stool samples of healthy human individuals. Our method allows simultaneous isolation of individual biomolecular fractions from the same original stool sample, followed by specialized omic analyses. The resulting multi-omics data enable coherent data integration for the systematic characterization of this molecular complex. Our results demonstrate the distinctiveness of the different extracellular biomolecular fractions, both in terms of their taxonomic and functional composition. This highlights the challenge of inferring the extracellular biomolecular complement of the gut microbiome based on single-omic data. The developed methodological framework provides the foundation for systematically investigating mechanistic links between microbiome-secreted molecules, including those that are typically vesicle-associated, and their impact on host physiology in health and disease. - Some of the metrics are blocked by yourconsent settingsThe importance of an independent validation cohort for metabolomics biomarker studies(2018)
;Trezzi, Jean-Pierre ;Hiller, Karsten