Lipids, also known as fats, are considered to be a jack-of-all-trades in the molecular world: they are components of cell membranes, store energy or supply chemical building blocks for several hormones. As messenger substances, they also regulate the growth of cells. Lipid metabolism includes all processes from the absorption to the excretion of lipids. The analysis of these water-insoluble molecules provides insights into important processes in the body.

The lipid signature – the quantity, type and chemical structure of lipids – in tissue or blood differs between healthy and sick people. Consequently, this information can be used to establish a link between lipid signature and health status: For one thing, lipids have the potential to be used as biomarkers to assess the risk of various heart diseases or types of cancer by means of early testing. For another, lipid signatures could help to advance precision cancer medicine and to tailor therapies to patients even better in the future.

The research group focuses its work on lipid signatures in cardiovascular diseases and cancer, more specifically black skin cancer (malignant melanoma). The reason for this is the connection between drug-based tumour therapies and cardiovascular diseases: Depending on the treatment, for example with so-called immune checkpoint inhibitors, cancer patients have a significantly increased risk of heart damage. The topic of lipid metabolism of cancer cells in tumour therapy is still insufficiently researched.

For their analyses, the researchers in the junior research group Lipidomics combine complementary techniques such as imaging mass spectrometry and microscopy. Specifically: MALDI (Matrix Assisted Laser Desorption/Ionization), mass spectrometry and light or fluorescence microscopy.

Looking at lipids in the context of OMICS

An important aspect of the work at ISAS is the integration of lipid data into so-called multi-omics analyses. The term omics refers to molecular methods that enable a holistic characterisation of all genes (genomics), proteins (proteomics), metabolites (metabolomics) and lipids (lipidomics). In order to analyse different classes of molecules such as lipids, proteins or metabolites in one sample, however, the sample must remain intact. That is why the junior research group Lipidomics is focusing especially on the development of new omics methods that can be used to analyse different classes of molecules in a tissue or blood sample at the same time. The aim is to obtain information on different biomolecules, their quantity and spatial distribution within a sample, in order to be able to assess a disease in a way that is holistic as well as specific to each patient. To this end, the Lipidomics team will work together closely with other research groups at ISAS as well as with scientists at the University of Duisburg-Essen and the University Hospital Essen.

The junior research group Lipidomics is a cooperation with the University of Duisburg-Essen based on the Jülich model. Jun.-Prof Dr Sven Heiles holds a professorship at the University’s Faculty of Chemistry and heads the research group at ISAS at the same time.

Current Publications

Identification of herbal teas and their compounds eliciting antiviral activity against SARS-CoV-2 in vitro

BMC biology, Vol. 20, Nr. 1, , P. 264
Type: Journal article

IR-MALDI Mass Spectrometry Imaging with Plasma Post-Ionization of Nonpolar Metabolites

Analytical Chemistry, Vol. 94, Nr. 46, , P. 16086–16094
Type: Journal article

Molecular Networking and On-Tissue Chemical Derivatization for Enhanced Identification and Visualization of Steroid Glycosides by MALDI Mass Spectrometry Imaging

Analytical Chemistry, Vol. 94, Nr. 46, , P. 15971–15979
Type: Journal article

Analytical comparison of absolute quantification strategies to investigate the Insulin signaling pathway in fat cells

Proteomics, Vol. 22, Nr. 7, , P. e2100136
Type: Journal article

Toward Zero Variance in Proteomics Sample Preparation

Journal of Proteome Research, Vol. 21, Nr. 4, , P. 1181–1188
Type: Journal article

Neddylation-dependent protein degradation is a nexus between synaptic insulin resistance, neuroinflammation and Alzheimer's disease

Translational Neurodegeneration, Vol. 11, Nr. 1, , P. 2
Type: Journal article