MetaboNews February: Maria Fedorova

In 2021, Dr. Fedorova’s team transitioned to the Center for Membrane Biochemistry and Lipid Research at TU Dresden Starting from 2024, she has taken on the position of Associate Professor specializing in Lipidome Research at University Hospital and the Faculty of Medicine Carl Gustav Carus, also at TU Dresden.

Dr. Fedorova’s research focuses on elucidating the mechanisms underlying the plasticity, adaptation, and maladaptation of natural lipidomes in response to various stressors, including metabolic and redox stress. Utilizing cutting-edge mass spectrometry and bioinformatics methodologies, her team investigates the lipid quality control processes at subcellular, cellular, and organismal levels. Since 2024, she has been co-chairing the LipidMet task group within the Metabolomics Society with Dr. María Eugenia Monge.

“The strength of modern lipidomics is that over the last decade, the field has become manure enough to provide solid, robust, and reproducible data. It is very important if we want lipidomics to be “taken seriously” both in basic and translational research”

Maria Fedorova

Lipids are a diverse group of molecules that serve essential roles in energy storage, cellular structure, signaling pathways, and numerous physiological processes. Lipidomics aims to characterize the entire lipid profile of a biological sample, providing insights into the intricate interactions between lipids and their roles in cellular metabolism.

TMIC has curated a collection of resources focusing on lipidomics, offering a deeper insight into lipidomics analysis. Explore the following trio of articles for a comprehensive examination of the subject:

  1. Lipidomics Analysis: Delve into an overview of lipidomics, including its emergence, methodologies, differences from metabolomics, types of analysis (global vs. targeted), measurable components, lipid classes, and common sample types. intricacies of lipidomics analysis with this insightful article.
  2. Lipidomics for Studying Metabolism: Discuss the utility of lipidomics in studying metabolism, emphasizing its role in characterizing lipid profiles, understanding metabolic pathways, identifying disease biomarkers, aiding drug development, integrating with other omics data for a comprehensive analysis of cellular processes, and some publications related to targeted and untargeted lipidomics analyses.
  3. Extracellular vesicles (EVs) 101: Learn about extracellular vesicles (EVs) and their significance in lipidomics research. Explore the fundamentals of EVs and their potential as biomarkers, particularly in cancer detection.

These articles offer valuable insights into lipidomics analysis and its applications, providing a holistic view of this dynamic field. TMIC offers some assays to support the study of lipidomics either the untargeted or targeted methods:

  • Global (Untargeted) Lipidomics Profiling. Using a cutting-edge method to analyze the lipidome in both positive and negative ionization. It typically detects, identifies and relatively quantifies more than 5,000 lipids for positive ionization and more than 2,000 lipids for negative ionization. This is a one-stop analysis where it includes all sample preparation, lipid extraction, LC-MS analysis, data analysis, lipid identification, data normalization, and statistical analysis (PCA, PLS-DA, Volcano plots)
  • High Throughput Global Metabolomics by MSI-CE-MS for Large-scale Epidemiological and Clinical Studies. This platform employs multisegment injection-capillary electrophoresis-mass spectrometry (MSI-CE-MS) with multiplexed separations to analyze ionic metabolites from bio-banked samples. This technique accommodates multiple sample types without complex preparation, and it offers up to four MSI-CE-MS configurations. These configurations expand coverage to include polar/ionic metabolites, as well as non-polar/intact lipids, encompassing nonesterified fatty acids and a diverse range of drug metabolites.
  • Sphingolipid Synthesis Metabolism. Quantification of sphingolipid biosynthesis phosphate intermediates, sphinganines, ceramides, sphingomyelins, sulfatides, cerebrosides, and gangliosides by UPLC-MRM/MS.
  • Mevalonate Pathway and Isoprenoids/Cholesterol Synthesis. Detection and quantitation of isoprenyl phosphate intermediates, isoprenoids (ubiquinones, dolichols, vitamin K2 and squalene, etc.), cholesterol and other sterols by UPLC-MRM/MS and UPLC-FTMS. It includes 17 lipids and lipid-like molecules.
  • NMR Analysis. Targeted analysis of water soluble metabolite classes including amino acids, sugars, alcohols, organic acids, amines, TCA cycle intermediates, and short chain fatty acids. This assay also targets some of fatty acyls, glycerophospholipids, prenol lipids, steroids and steroid derivatives.
  • Targeted Lipidomics. Extraction, separation, and quantification of 4 neutral lipid classes and 9 phospholipid classes using GC-FAMES-MS.
Scroll to Top