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Imaging Tissue Metabolism with Enhanced Sensitivity of Dual Laser Mass Spectrometry

Biomedical imaging provides high-resolution insights into the molecular physiology of the human body. Thus it plays an important role in diagnosing diseases and monitoring health. With conventional tools such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), molecular specificity and coverage of the analyses are limited. Whereas mass spectrometry imaging (MSI) using Matrix-assisted Laser Ionisation (MALDI) offers a label-free approach to analyse clinical tissues, tumours and 3D cell cultures at cellular resolution in unprecedented molecular detail. MSI can map hundreds of metabolites and lipids from a single tissue section. However, the metabolome coverage is still limited due to chemical noise and competing background ions from other molecules. This restricts MSI technology to those lipids and peptides that are abundant in a biological sample. To overcome this challenge, researchers aim to develop post-ionisation methods using dual laser-based MSI instrumentation (MALDI-2) in the project »Imaging Tissue Metabolism with Enhanced Sensitivity of Dual Laser Mass Spectrometry«. The second laser provides a post-ionisation boost, which enables the mass spectrometer to detect metabolites even though they are not abundant or poorly ionized through chemical noise or competition from other molecules.

Mapping pathways for a better understanding of cardiovascular and cancer metabolism

The aim of the project is to optimise the existing MALDI-2 imaging technology for small molecule metabolites, and map the activity of key metabolic pathways in a variety of tissue samples. The scientists work to spatially map metabolites from energy, glycolysis and central carbon metabolism pathways. They are critical in understanding the physiological processes associated with cardiovascular and cancer metabolism. The project serves to expand the medical applications of MSI for clinical metabolomics and further the spatial understanding of the metabolism in various biological and clinical systems.

Shedding light on diseases’ metabolic heterogeneity

Cellular metabolic heterogeneity among diseased tissues, for example in the heart or liver, as well as in tumours, is one of the major reasons for poor diagnosis or therapeutic failures, and a bottleneck for precision medicine. The advanced MALDI-2 MSI technology can provide detailed cellular maps of key metabolic pathways and their spatial activities to decipher the metabolic heterogeneity of cancer, cardiovascular and other metabolic disease. Thus, it can improve the diagnosis as well as the biochemical understanding of disease mechanisms and help find novel therapeutic targets.

Further projects

New Research Training Group of Essen University Medical Centre & ISAS is Dedicated to Consequential Injury Following a Heart Attack

When blood starts flowing again after a heart attack, it can literally flood the affected heart muscle cells with oxygen and nutrients and thus cause secondary damage. The DFG-funded research training group ‘TCI repAMI’ at the University Hospital Essen and ISAS is investigating how immune cells, blood vessel cells and heart muscle cells interact in this process. Clinical and research experts are working together in tandem teams in eleven sub-projects to provide interdisciplinary training for a total of 33 doctoral students.

B2B-RARE – Bench to Bedside: Therapies for Individuals with Hereditary Muscle Disorders

An interdisciplinary consortium of researchers in North Rhine-Westphalia is dedicated to improving the quality of life of patients with neuromuscular diseases by developing new precision diagnostic and treatment methods. Their goal is to find suitable therapies for patients and bring these directly to their bedsides.

Fast Meat Control (FMC)

The objective of FMC is to develop a mobile measuring instrument which can be used to identify bacteria at meat-processing plants. The hand-held measuring instrument uses a method based on plasma gas chromatography-ion mobility spectrometry (Plasma-GC-IMS).

Optimising Anaemia Treatment for Patients with Chronic Kidney Disease (NephrESA)

In order to treat anaemia more effectively, researchers in the »NephrESA« project are developing a computer model which can be used to determine the risks and prognoses of the medication for each individual affected.