Metabolomics

We conduct untargeted metabolomics studies and targeted quantification of metabolites to investigate metabolic processes.

 

 

 

 

We pool our bio-analytical, statistical, medical, biological and biochemical expertise and combine it with advanced information technology. This strategy allows us to offer a wide range of customer-oriented services in the field of metabolomics and metabolic research.

Untargeted metabolomics and targeted quantification of metabolites

 

We provide a wide range of metabolomics services on targeted and untargeted analytical platforms. Our expertise comprises the correct choice of sample types, sample collection procedures, sample storage and delivery, sample preparation in combination with the best metabolomics platforms. Furthermore, data processing and statistical analysis methods are well established .

  • Metabolites of primary metabolism (amino acids, Krebs cycle, glycolysis, pentosephosphate pathway, CoAs, …)
  • Energy metabolism
  • Metabolite fingerprinting
  • Quantification of coenzyme-A activated compounds
  • Quantification of spermidine and relatives (polyamines)
  • Stable isotope labelling (SIL) supported metabolomics
Expertise
Workflow
Publications
Webinar

Our Expertise

 

We provide flexible, solutions tailored to your needs and cover the complete study or only single steps ranging from support in study design, data generation (extraction, targeted/untargeted measurement) to analysis (feature detection, normalization, quality control, corrections, identification), interpretation (visualization, uni-/multi/-variate statistics) to knowledge generation (experienced scientists).

  • Sample preparation        
  • Data processing: visualization, filtering and correction
  • Metabolite identification
  • Univariate and multivariate statistical methods
  • Sample types: muman, mouse, rat, pig, drosophila and a wide variety of microbial species and cell cultures

Selected metabolomics studies

Title

Authors

Alterations in the Kynurenine–Tryptophan Pathway and Lipid Dysregulation Are Preserved Features of COVID-19 in Hemodialysis.
Max Schuller, Monika Oberhuber, Barbara Prietl, Elmar Zügnern, Eva-Maria Prugger, Christoph Magnes, Alexander H. Kirsch, Sabine Schmaldienst, Thomas Pieber, Marianne Brodmann, Alexander R. Rosenkranz, Philipp Eller, Kathrin Eller. Int. J. Mol. Sci. , 11/2022
Tachycardiomyopathy entails a dysfunctional pattern of interrelated mitochondrial functions.
Paulus, M.G., Renner, K., Nickel, A.G. et al. Basic Res Cardiol 117, 45 (2022). 
Differential In Vitro Effects of SGLT2 Inhibitors on Mitochondrial Oxidative Phosphorylation, Glucose Uptake and Cell Metabolism.
Zügner E, Yang HC, Kotzbeck P, Boulgaropoulos B, Sourij H, Hagvall S, Elmore CS, Esterline R, Moosmang S, Oscarsson J, Pieber TR, Peng XR, Magnes C. Int J Mol Sci. 2022 Jul 19;23(14):7966.
Insights into the Composition of a Co-Culture of 10 Probiotic Strains (OMNi BiOTiC® AAD10) and Effects of Its Postbiotic Culture Supernatant.
Kienesberger B, Obermüller B, Singer G, Arneitz C, Gasparella P, Klymiuk I, Horvath A, Stadlbauer V, Magnes C, Zügner E, López-García P, Trajanoski S, Miekisch W, Fuchs P, Till H, Castellani C.Nutrients. 2022 Mar 11;14(6):1194. 
Metabolic profiling of attached and detached metformin and 2‑deoxy‑D‑glucose treated breast cancer cells reveals adaptive changes in metabolome of detached cells.
Repas, J., Zügner, E., Gole, B. et al. Metabolic profiling of attached and detached metformin and 2-deoxy-D-glucose treated breast cancer cells reveals adaptive changes in metabolome of detached cells. Sci Rep 11, 21354 (2021).
Blood Plasma Quality Control by Plasma Glutathione Status.
Tamara Tomin, Natalie Bordag, Elmar Zügner, Abdullah Al-Baghdadi, Maximilian Schinagl, Ruth Birner-Gruenberger, Matthias Schittmayer. 2021

Differential effects of SGLT2 inhibitors on mitochondrial oxidative phosphorylation, glucose uptake, cell energy level and metabolism in HEPG2 cells and HUVECS.

Zügner E, presented at EASD 2020
Alternate Day Fasting Improves Physiological and Molecular Markers of Aging in Healthy, Non-obese Humans.
Stekovic S, Hofer SJ, Tripolt N3 Aon MA, Royer P, Pein L, Stadler JT, Pendl T, Prietl B, Url J, Schroeder S, Tadic J, Eisenberg T, Magnes C, Stumpe M, Zuegner E, Bordag N, Riedl R, Schmidt A, Kolesnik E, Verheyen N, Springer A, Madl T, Sinner F, de Cabo R, Kroemer G, Obermayer-Pietsch B, Dengjel J, Sourij H, Pieber TR, Madeo F, Cell Metabolism , 8/2019

Targeting the H3K4 demethylase KDM5B reprograms the metabolome and phenotype of melanoma cells.

Vogel FCE, et al. J Invest Dermatol. 2019, 139(12):2506-2516.e10.

Lysosomal acid lipase regulates fatty acid channeling in brown adipose tissue to maintain thermogenesis.

Duta-Mare M, et al Biochim Biophys Acta Mol Cell Biol Lipids. 2018, 1863(4):467-478.

Metabolic phenotyping of first degree relatives of patients with type 1 diabetes.

Zügner E, presented at EASD 2017

N-acetylaspartate catabolism determines cytosolic acetyl-coa levels and histone acetylation in brown adipocytes.

Prokesch A, et al. Sci Rep. 2016, 6:23723.

Cardioprotection and lifespan extension by the natural polyamine spermidine.

Eisenberg T, et al Nat Med. 2016, 22(12):1428-1438.
An Untargeted Metabolomics Approach to Characterize Short-Term and Long-Term Metabolic Changes after Bariatric Surgery
Sophie H. Narath , Selma I. Mautner, Eva Svehlikova, Bernd Schultes, Thomas R. Pieber, Frank M. Sinner, Edgar Gander, Gunnar Libiseller , Michael G. Schimek, Harald Sourij, Christoph Magnes,  11(9), e0161425 - September 2016

Cognitive impairment by antibiotic-induced gut dysbiosis: analysis of gut microbiota-brain communication.

Fröhlich E, Brain Behav Immun. 2016, 56:140-55.

Accumulation of basic amino acids at mitochondria dictates the cytotoxicity of aberrant ubiquitin.

Braun RJ, et al Cell Rep. 2015 ,10(9):1557-1571.

Identification of novel metabolic interactions controlling carbon flux from xylose to ethanol in natural and recombinant yeasts.

Trausinger G, et al Biotechnol Biofuels. 2015, 25;8:157.
IPO: a tool for automated optimization of XCMS parameters
Libiseller, G., Dvorzak, M., Kleb, U. et al. IPO: a tool for automated optimization of XCMS parameters. BMC Bioinformatics 16, 118 (2015).

 

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Discover selected analytical methods for diabetes and obesity research

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