09.10.2025 - Scientific Programme
8:00 - 9:00 Arrival, Registration and Coffee
9:00 - 10:30 Session 1 - Metabolomics 1 (Clinical)
9:00 - 9:25 Thierry Schmidlin, Mainz
Towards a rapid LC-MS-based metabolomics protocol for phenotyping of large plasma cohorts
9:25 - 9:45 Nora Vogg, Erlangen
Evaluation of enzymatically deconjugated steroids and intact steroid conjugates in urine as diagnostic biomarkers for adrenal tumors by untargeted metabolomics
9:45 - 10:00 Christoph Trautwein, Tübingen
Metabolic phenotyping and patient stratification of solid cancers with quantitative serum and tissue NMR spectroscopy
10:00 - 10:15 Emily Newton-Tanzer, Munich
The TOMI Add-On Study: Observing the Acute Metabolic Response in Adults after Higher Dietary Protein Intake
10:15 - 10:30 Yuntao Hao, Munich
Plasma metabolite correlates of immune response in health care workers post two doses of mRNA COVID-19 vaccine: analysis of a RisCoin study subsample.
10:30 - 11:00 Coffee & Snacks
11:00 - 12:30 Session 2 - Bioinformatics
11:00 - 11:45 Keynote: Gabi Kastenmüller, Munich
Can we aid the interpretation of metabolomics results?
11:45 - 12:00 Konstantinos Tzanakis, Freising
Large-scale storage, analysis and integration of metabolomics data
12:00 - 12:15 Helge Hecht, Brno
Predictions of EI Mass Spectra With QCxMS Made User-Friendly With Galaxy: A Critical Evaluation
12:15 - 12:30 Tarek Eissa, Munich
Challenges and opportunities of infrared molecular fingerprinting to probe human health
12:30 - 14:30 Lunch Break and Poster Session
13:00 - 13:30 Lunch seminar David Heywood (Sponsor: Waters)
Multi-reflecting TOF for the bench top – high value, integrated lipidomics workflows applied to a colorectal cancer pilot study
13:30 - 14:30 Poster presentations (all presenters should be at their poster stands)
14:30 - 16:00 Session 3 - Metabolomics 2 (Imaging & Food)
14:30 - 14:55 Laimdota Zizmare, Tübingen
Spatial metabolomics studies of tumor microenvironment & heterogeneity by high resolution ion mobility MALDI imaging MS
14:55 - 15:15 Stefan Pieczonka, Freising
The German Purity Law - metabolite signatures of wheat, corn, and rice in beer
15:15 - 15:30 Daniel Simon, Regensburg
Laser Desorption – Rapid Evaporative Ionisation Mass Spectrometry: From subcellular imaging to MS-guided surgery
15:30 - 15:45 Valentina Ramundi, Munich
Untargeted metabolomics-based molecular networking for chemical characterization of Rumex sanguineus
15:45 - 16:00 Lieby Zborovsky, Munich
Spatial metabolomics of host-microbe interactions in a murine model of H. pylori infection
16:00 - 16:30 Coffee & Snacks
16:30 - 17:50 Session 4 - Lipidomics
16:30 - 16:55 Lauren Ford, London
Modifying surface properties for high-throughput and passive metabolomic analysis in detection of colorectal cancer
16:55 - 17:15 Lisa Hahnefeld, Frankfurt
Clinical Lipidomics in immune-mediated inflammatory diseases
17:15 - 17:30 Rens Peeters, Munich
Beta-catenin controls lipid homeostasis in B cells
17:30 - 17:50 Silke Matysik, Regensburg
Stratification of patients regarding faecal metabolites with biological activities
17:50 - 18:00 Best Poster & Best Young Scientist Talk awards
(sponsored by the Deutsche Gesellschaft für Metabolomforschung)
18:00 - 19:00 Wrap up, Drinks & Brezels
10.10.2024 - Workshop
"The Power of Statistics in Metabolomics"
8:40 - 9:00 Introductory Talk: Preprocessing of Metabolomics Data
9:00 - 11:00 Workshop Session 1: Data analysis and evaluation in Metabolomics
Dr. Alexander Cecil – Metabolomics and Proteomics Core, Helmholtz Munich
Statistical analysis in metabolomics is a cornerstone for the identification of valid biomarkers. The correct approaches and selection of statistical tests drastically improves data and result quality. In this part of the workshop, we will cover the following topics for metabolomics data evaluation:
• Data pre-processing and batch effects - and methods on how to avoid them
• Statistics for Metabolomics: Uni-variate, Multi-variate and Linear modelling
• Metaboanalyst webserver demo and hands-on
11:00 - 11:30 Coffee & snacks
PD Dr. Michael Witting – Metabolomics and Proteomics Core, Helmholtz Munich
Metabolism forms a dense network of (bio)chemical reactions. Yet, metabolomics data analysis often focuses on isolated metabolic pathways or reactions instead of using the entire metabolic network. Usage of networks is manifold from data interpretation to metabolite identification. In this part of the workshop we will cover the following topics:
• Different types of networks (e.g. mass difference, correlation, molecular networks)
• Ways of calculating networks
• Usage of networks for metabolite identification