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Maria Fedorova Group

Lipid Metabolism: Analysis and Integration

Portrait Maria Fedorova

© Frank Möller

The research in Fedorova’s group is focused on development and implementation of lipidomics and bioinformatics solutions to address complexity and plasticity of lipid metabolism in variety of biological systems. By using modern, state-of-the-art high resolution mass spectrometry in combination with a wide range of separation methods we explore the complexity and dynamics of natural lipidomes to integrate these data for a holistic understanding of lipid metabolism. In particular, we are aiming to understand the pathophysiology of metabolic and inflammatory disorders, including obesity, insulin resistance, type II diabetes and liver pathologies. The question we want to answer is: how cellular, tissue or organism lipidomes react and adapt to the metabolic stress and at which point the adaptive metabolic response turns into the pathology?

Another focus of Dr. Fedorova’s research is the development and application of mass spectrometry-based methods for the analysis of the epilipidome, which is a subset of the lipidome formed by lipid modifications aiming to increase the regulatory capacity of biological systems. We are examining the role of modified lipids specifically in signalling processes, regulating physiological and pathological events at the cellular and organismal levels. In particular, the group is studying the role of modified lipids in ferroptosis, a newly described type of cell death implicated in degenerative diseases and cancer.

Maria Fedorova Research: Figure
Lipidomics, a mass spectrometry and bioinformatics based analysis of lipid compositions in cells and tissues, allows qualitative and quantitative characterization of tissue-specific lipidomes in physiological and pathological conditions. Lipidomics data facilitate understanding of lipid metabolism, support its clinical translation and development of pharmacological intervention strategies.

Future Projects and Goals

We are aiming to find the molecular switches in lipid metabolic networks responsible for the transition from adaptive to maladaptive responses leading to dysregulation of lipid metabolism and development of human pathologies associated with dyslipidemia and chronic inflammation. This will allow not only to support mechanistic understanding of diseases etiology but will also provide access to intervention strategies.

Methodological and Technical Expertise

  • Mass spectrometry based lipidomics/epilipidomics
  • Lipid chemistry and biochemistry
  • Software development using Python environment
  • Multi-omics data integration
  • Redox biochemistry


Since 08/2021
Research Group Leader, Center of Membrane Biochemistry and Lipid Research, University Hospital and Faculty of Medicine Carl Gustav Carus of TU Dresden

Research Group Leader, Center for Biotechnology and Biomedicine, University of Leipzig, Germany

Postdoctoral fellow, Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, Germany

PhD studies, Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, Germany

Master studies, Department of Biochemistry, Faculty of Biology and Soil Science, St. Petersburg State University, Russia

Bachelor studies, Faculty of Biology and Soil Science, St. Petersburg State University, Russia

Selected Publications

Lange M, Angelidou G, Ni Z, Criscuolo A, Schiller J, Blüher, Fedorova M
AdipoAtlas: a reference lipidome of human white adipose tissue.
Cell Reports Medicine, In Press (2021)

Aldrovandi M, Fedorova M, Conrad M
Juggling with Lipids, a Russian Roulette.
Trends in Endocrinology & Metabolism 32 (7): 463–473 (2021)

Ni Z, Goracci L, Cruciani G, Fedorova M
Computational solutions in redox lipidomics – current strategies and future perspectives.
Free Radical Biology and Medicine 144: 110–123 (2019)

Coliva G, Duarte S, Perez-Sala D, Fedorova M
Impact of inhibition of the autophagy-lysosomal pathway on biomolecules carbonylation and proteome regulation in rat cardiac cells
Redox Biology 23: 101123 (2019)

Ni Z, Angelidou G, Hoffmann R, Fedorova M
LPPtiger software for lipidome-specific prediction and identification of oxidized phospholipids from LC-MS datasets.
Scientific Reports 7(1): 15138 (2017)