You are currently viewing a placeholder content from YouTube. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More Information
Speaker | Lisa Hahnefeld, Ph.D.
Affiliation | Goethe University Frankfurt | Institute of Clinical Pharmacology | Senior Scientist
Common pitfalls in clinical metabolomics: A guide from sample collection to data analysis
Part of the Webinar
Lipidomics | From planning to interpretation and sharing
Ensuring sample and data quality is crucial for reliable results in clinical metabolomics. However, strict sample stability protocols often conflict with practical clinical considerations. Additionally, integrating datasets with varying nomenclature, selectivity, or quantification strategies poses significant challenges. In this talk, I will highlight common pitfalls in the clinical metabolomics workflow and introduce useful tools to address these issues. This presentation is aimed at scientists involved in clinical projects who seek guidance on pre-analytical and dataset integration challenges.
Related articles
- Oxaloacetic acid (OAA) – Key metabolite in metabolism, disease, and therapeutic innovation
- Introduction to metabolomics in action
- Investigating the stool and plasma metabolome of people with HIV
- Metabolomics of sepsis and critical illness
- Fast-tracking interpretation and sharing of lipidomic data with standardized methods