We would like to invite you to the next NVF meeting organized by the Dutch Pharmacology Society. During this meeting you will have the chance to participate in the lectures of Prof. dr. R.H. (Rob) Henning and PhD candidate Mohamed Saleh.
16th of March at 16:00-17:00 CET
Join Zoom Meeting
Meeting ID: 213 851 7914
Passcode: 9d002m
Speaker 1: Prof. dr. R.H. (Rob) Henning, Professor of Pharmacology, Faculty of Medical Sciences, University of Groningen
Title: Hibernation inspired drug development.
Rob Henning explores the molecular mechanisms enabling the miracles of mammalian hibernation: a repetitive, rapid and reversible reduction of metabolism by over 90%, leading to a drop in body temperature close to freezing. Endogenous production of H2S takes center stage in protecting cells from damage during hibernation dictated swings in physiology. He will explain why hibernators inspired the team to search for allosteric modulators of cystathionine beta synthase (CBS) and how they approach the discovery of this new drug class.
Speaker 2: PhD candidate Mohammed Saleh, Leiden Academic Center for Drug Research
Mohammed Saleh is a PhD candidate at Leiden Academic Center for Drug Research, working under the supervision of Prof. Liesbeth de Lange and Dr. Jeroen Elassaiss-Schaap. The focus of his PhD research is to develop mathematical models to predict the pharmacokinetics of central nervous system in healthy and of diseased conditions. Mohammed studied pharmacy in Egypt and did his master’s in pharmaceutical sciences at Utrecht University. In between, he gained experience on the drug industry at Novartis.
Title: LeiCNS-PK3.0: a framework leveraging multiscale data for accurate brain PK predictions
Abstract:
Assessment of the unbound drug concentration in the central nervous system (CNS) is crucial for drug development to evaluate efficacy of CNS drugs and the safety of non-CNS drugs. Measuring the unbound drug concentration in the CNS target sites, i.e. brain cells and the surrounding extracellular fluid (brain ECF), is limited by ethical restriction of the human brain sampling, while lumbar cerebrospinal fluid (CSF) has been shown to be an inaccurate surrogate of the drug concentrations in the brain. The Leiden CNS pharmacokinetic predictor (LeiCNS-PK3.0) is a physiologically based pharmacokinetic model that was previously demonstrated to adequately predict the CNS PK profiles. LeiCNS-PK3.0 accounts mechanistically for the CNS physiology, a feature that allows interpopulation and interspecies translations of the PK profiles. In this webinar, we will explore the LeiCNS-PK3.0 model development and application to predict the brain PK profiles in Alzheimer’s patients.