Predict & Prevent.

Prediction/prevention Cardiovascular-kidney related lipidomics (Aachen)

Lipids are instrumental in numerous cardiovascular and related kidney diseases. Some of the major lipid classes, such as triglycerides and cholesterol, are among the strongest predictors of these diseases. Therefore it is remarkable that surprisingly little is known about the relevance of specific lipid molecules in these diseases. With the expected breakthroughs in lipid analysis, we be able to map lipid signatures in blood and diseased tissue and to pinpoint their precise location.

Project Aim. We will map lipid profiles in blood of a cohort of high risk obese individuals (which had suffered or did not suffer cardiovascular disease in the 5 years after sampling). Similarly we will analyze lipid fingerprints in a cohort of kidney disease patients versus control subjects. Lipid patterns will be analyzed using advanced mathematical measures and linked to outcome; this will lead to the discovery of lipid signatures that are specific for the disease. Next the most indicative lipids of this signature will be re-evaluated using a different lipid analysis technique; moreover lipid profiles will be measured in heart/kidney tissue. Finally we will test the effects of the most significant lipids in vitro and the most potent lipid in these tests in a cardiovascular/kidney disease model.

Prediction/prevention Brain Disorder related lipidomics

Recent findings have highlighted the importance of altered lipid metabolism in neuropsychiatric disorders. Brain disorders ranging from psychiatric to Alzheimer’s disease are serious and have far-reaching effects on health and with consequences for daily life of patients and their families. Mental and neurological illnesses account for approximately 13% of global disease burden. The first necessary step to better understand and treat these syndromes is to categorize patients with the same underlying disease cause. Brain lipid profiles were shown critical in disease onset and progression. In addition, using advanced lipid imaging technology we will study how lipid distribution throughout the brain is altered upon neurological disease onset and following therapy. This is critical to map therapy impact on brain lipids and to identify diagnostic lipid fingerprints patterns in brain.

Project Aim. we will identify the role of altered lipid metabolism in brain disorders. Blood levels of lipid metabolites, reflecting the neurodegenerative status of the brain, will be profiled. We will correlate these changes to disease status and patient characteristics to determine the diagnostic value of the altered lipids. The impact of the identified lipid species on disease progression will be determined in disease models.

  • Maastricht University
    Maastricht University Maastricht, NL
  • Hasselt University
    Hasselt University Hasselt, BE