Projects
Biomarkers affecting the transition from cardiovascular disease to lung cancer: towards stratified interception. KU Leuven
Cardiovascular disease (CVD) and lung cancer (LC) are leading causes of deaths and intertwined chronic inflammatory processes associated with metabolism reprogramming, clonal hematopoiesis of indeterminate potential (CHIP), intestinal dysbiosis, and maladaptive immunity. CVD prone-tobacco users exhibit a 1-2% yearly incidence of LC. Low dose computed tomography screening programs reduce LC mortality by 20%. Beyond epidemiological scores, risk ...
Blood-based biomarkers for therapy response prediction and disease monitoring of patients with esophageal adenocarcinoma Ghent University
Spinal cord injury induced autoantibodies as biomarkers for patient stratification Hasselt University
Turning the understanding of inflammation-related pathology into new biomarkers and treatments using next-generation technologies and high-throughput data mining. University of Antwerp
Benchmarking singlet oxygen-based photoelectrochemical detection platform for panel analysis of cancer biomarkers, using prostate cancer as a case study. A novel groundbreaking approach for cancer diagnosis and follow-up. University of Antwerp
Improving diagnostic accuracy and follow-up of neuroendocrine neoplasms through detection of (epi)genetic biomarkers in liquid biopsies using novel technological platforms. University of Antwerp
Multimodal dual-imaging-derived biomarkers for unravelling host response from lung disease progression in infection and therapy KU Leuven
Fungal infections in the context of pre-existing immunodeficiency or lung disease are often life-threatening complications, but our knowledge of the interplay of pathogen and host factors involved still contains important therapeutic, methodological and fundamental gaps. Resistance against current antifungal therapy urges us to find alternatives. Host factors inhibit or facilitate infection dissemination, and we lack insight into this ...
A longitudinal multi-matrix metabolomics approach for the identification of biomarkers of early feline renal disease Ghent University
New early biomarkers of renal disease in cats are urgently required, as current diagnostic tests such as serum creatinine and SDMA only increase if renal function has already been irreversibly deteriorated, resulting in rather late therapeutic interventions instead of inhibiting the disease early in its course. This project exploits the analytical power of state-of-the-art metabolomics technologies to discover biomarkers of early renal damage ...
Endotoxins (LPS): Biomarkers for exposure and effect, Toxicokinetics and Evaluation of the efficacy of in-feed Mitigation Technologies in broiler chickens Ghent University
This project studies the bio-analysis and toxicokinetics of endotoxins and eicosanoids in broiler chickens.