“The goals of the project are to better diagnose severe neurological disorders, to understand their molecular causes and to monitor the course of therapy. High-performance mass spectrometry can make a decisive contribution to this”, explains Prof. Bernhard Küster, professor of proteomics and bioanalysis at the Technical University of Munich (TUM) and co-spokesperson of the research consortium.
Mass spectrometry permits the simultaneous and quantitative determination of minute quantities of thousands of biomolecules from tissues or body fluids. Such molecular profiles for proteins will now be brought into clinical use for the first time.
New insights into the diagnosis and monitoring of disease
Munich is one of Germany’s leading centers of neuroscience. The scientists involved in the new consortium intend to demonstrate that mass spectrometric protein analysis is suitable for the detection of clinically usable biomarkers.
The partners involved are TUM and its University Hospital ‘rechts der Isar’, the Ludwig-Maximilians-Universität München (LMU) with its University Hospital, the Helmholtz Zentrum München and the Max Planck Institute of Biochemistry. The partners will initially be funded with approximately 6 million euros over the next three years.
“As a core element of ‘TUM Agenda 2030’ – our strategic vision for the future -, this powerful cooperation in the clinical neurosciences constitutes a significant advance in systematically uniting Munich researchers as part of our ONE MUNICH strategy,” says Prof. Thomas F. Hofmann, President of TUM.
The members of the consortium ‘Clinical Mass Spectrometry Center Munich (CLINSPECT-M)’ see an extremely high demand for biomarkers for diagnosis, therapy decisions and monitoring of therapy response.
Everything revolves around the brain
The Clinspect-M network covers four major areas of application in medicine:
- Multiple sclerosis: protein profiles of the cerebrospinal fluid of 4,000 patients should help physicians to find disease-specific fingerprints that can be used in clinical diagnosis.
- Alzheimer’s disease: clinical studies involving hundreds of patients will be used to find biomarkers that indicate whether a drug is effective or not.
- Stroke: the examination of thousands of patient samples will identify proteins that indicate brain damage caused by a stroke and distinguish stroke from other causes.
- Brain tumors: hundreds of cancer patients are examined with the aim of finding molecular targets for personalized therapy decisions.
“By using bioinformatics to bring together medical information and data from mass spectrometry, we will gain a better understanding of the complex interrelationships between these diseases and translate this understanding into medical practice,” explains co-spokesperson Prof. Daniel Teupser, Director of the Institute of Laboratory Medicine at LMU.