Is is possible to better predict the validity of drug candidates?

Adverse drug reactions (ADRs) remain one of the major reasons for patient mortality and (early) drug withdrawal. Currently, different in vivo and in vitro models are used to assess the toxic potential of drugs in the pre-clinical phase. Unfortunately, the predictive value of this model does not fit…

Atherosclerosis is a progressive disease resulting in the formation of an arterial plaque. Despite lipid lowering, recurrent cardiovascular events remain a risk. While atherosclerosis is primarily lipid-driven, the immune system plays a critical role in the pathophysiology.

Promotor: J. Kuiper

Discovery and development of Central Nervous System (CNS) drugs is hampered by high attrition rates.

Ontwikkeling van resistentie tegen antibiotica kan optreden als patiënten onnodig of te lang met antibiotica behandeld worden. Diagnostiek waarmee snel een bacteriële infectie vastgesteld kan worden, of de response op antibiotica bepaald kan worden, zijn daarom belangrijk om therapie te optimaliseren…

The lack of success of new CNS drugs in clinical development is in part due to the complexity of the CNS, unexpected side effects, difficulties for drugs to penetrate the brain, but also by the lack of biomarkers.

Over the past decade, several novel types of spatially resolved

Is EEG theta\beta ratio predictive towards the negative effects of stress on cognitive performance in individuals suffering from performance anxiety? Can we improve resilience to performance anxiety by using a theta\beta ratio neurofeedback intervention?

The aim of this project is to explore the use of statistical interaction models to quantify cross-omics and omics-drug interactions in large-scale clinical and experimental datasets

PhD defence

The focus of the described research in this thesis is on the oxidative stress response (Nrf2 pathway). The aim of the research presented in this thesis is to obtain more information concerning microRNAs which are involved in the Nrf2 pathway, to determine and evaluate the application of microRNAs for…

To be able to identify, slow down and reverse functional deterioration in the elderly to give them more years of good health.

Sepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global healthcare systems. Bacterial infections are the primary cause of sepsis, but the growing prevalence of antimicrobial…

Antimicrobial drugs constitute a fundamental part of modern medicine. The global rise in antimicrobial resistance poses a major threat to global health.

Aggression inflicts a huge personal, psychological and financial burden on affected individuals, their relatives, and society at large. Despite large scientific, preventive, and treatment investments, no decrease in aggressive behaviour is seen. By combining interdisciplinary expertise the ACTION consortium…

A new research line is the development of liquid biopsy fingerprints to predict early Alzheimer’s disease (AD) stage in human in readily accessible body fluids in human (in collaboration with: Dr. Geert-Jan Groeneveld, CHDR; Prof. Elga de Vries, Free University Medical Center; and others).

PhD defence

Former masterstudent Bio-Pharmaceutical Sciences Maddalena Centanni will be awarded the 2020 Arenberg Coimbra Prize for Erasmus Students. Centanni spent her six month Erasmus exchange at Uppsala Universiy in Sweden where she looked for ways to improve anti-cancer drug dosing.

This longitudinal study is focused on neurodevelopmental problems in young children with XXY, XXX and XYY, aged 1 to 6 years.

Heart failure is a major health care problem with high mortality.

The research described in this thesis combines the latest insights in lysosomal function with lysosome centred cell signalling.

The complex pathophysiology of immuno-dermatological disorders is multifactorial, including environmental, skin microbiome, (epi)genetic and immune dysregulation conditions. This project primarily focuses on the orphan disease mycosis fungoides, a subtype of cutaneous T-cell lymphoma. The current pathophysiological…

The Division of Systems Pharmacology and Pharmacy (SPP) aims to develop precision medicine approaches to characterize and predict variation in treatment response and enhance translational drug development strategies.

Inflammatory skin diseases such as psoriasis and atopic dermatitis can severely impact both the physical and social aspect of a patient’s life. Aberrant inflammatory responses are thought to be a major causative factor in these disorders, but an abundance of different factors contribute to the development…

The power of personalized nutrition lies in being able to conduct clinical research on healthy people while capturing metabolic markers sensitive to the impact of environmental and metabolic stressors (e.g. diet, changing sex hormones and the menstrual cycle).

An overview of Quantitative Pharmacology projects

PhD defence

GRIPonMASH will address the unmet public health need of reducing disease burden and comorbidities associated with Metabolic dysfunction-Associated Steatotic Liver Disease (MASLD).

Our group is part of the Metabolomics and Analytics Centre where we accompany the data from its acquisition all the way to the publication of identified associations and biomarkers for a range of human diseases. The generated data of the metabolic measurements are assessed using an in-house quality…

Climate change is a challenge for both current and future generations. New biological resources have to be developed in order to meet the demand for energy as well as the demand for food.

PhD defence

PhD defence

PhD defence

Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.

How does stress influence cognitive performance? What is the role of selective attention to threatening information in this effect? Could we prevent stress-induced decline of cognitive performance with pharmacological interventions? Could we use resting state theta/beta ratio as a biomarker for cognitive…

An overview of research projects at the Predictive Pharmacology group.

The Minor Computational Approaches to Disease, Signaling and Drug Targets (CADSDT) is focused on fundamental scientific research required for discovery of new drug targets and development of new drugs.

The Quantitative Pharmacology group headed by Coen van Hasselt focusses on the application of state-of-the-art quantitative pharmacometrics and systems pharmacology modeling combined with translational experimental models to develop personalized treatment strategies for antibiotics and to combat antimicrobial…

The aim of this research area is to be able to predict human drug response on the basis of mathematical models that are developed using preclinical experiments and prior knowledge.

Health Data Science Leiden University

The predication of the effect (efficiency and toxicity) of a drug in a patient is very important in (i) clinical decision support and (ii) the development of novel drug treatments.

Research projects

Can we develop a generic method for Quan/Qual analysis of small molecule drugs, their metabolites and endogenous metabolites in (pre-)clinical samples?

The predication of the effect (efficiency and toxicity) of a drug in a patient is very important in (i) clinical decision support and (ii) the development of novel drug treatments. We apply our technology and methods to find biomarkers for key disease pathways and toxicity in clinical studies and in…

Medical Biochemistry is a section of the Leiden Institute of Chemistry at Leiden University. The section is headed by Prof. Dr. Hans Aerts.

The Horizon 2020 project Sybil-AA (Systems Biology of Alcohol Addiction) focuses on modeling and validating disease state networks in human and animal brains for understanding pathophysiology, predicting outcomes and improving therapy in alcohol addiction. Alcohol addiction, the most severe form of…