Tytuł:

Prediction of pro-arrhythmic activity in humans with the use of physiologically based pharmacokinetics and pharmacodynamics modelling

Autor:

Patel, Nikunjkumar

Temat i słowa kluczowe:

mathematical modeling ; physiology based pharmacokinetic models ; drugs cardiotoxicity ; polypharmacy ; pharmacokinetics

Abstrakt:

Drug induced cardiac arrhythmia, especially occurrence of Torsade de Pointes (TdP), has been a leading cause of attrition and post-approval re-labelling and withdrawal of many drugs. TdP is a multifactorial event, reflecting more than just drug-induced cardiac ion channel inhibition and QT interval prolongation. A drug that is well tolerated in most patients can cause TdP in a particular individual under certain clinical situations e.g. co-medications or electrolyte imbalance. Moreover, assessment of the TdP liability of a drug based only on the parent moiety and the hERG centric evaluations could be misleading. Testing all probable hypotheses in clinical and/or animal studies may be practically, ethically and economically unfeasible. These present a translational gap in extrapolating preclinical cardiac safety assessment to estimate human TdP risk reliably. As part of this thesis, it was demonstrated with case examples how mechanistic approach such as Quantitative Systems Toxicology and Safety (QSTS) an be used from early discovery to late stage drug development and post marketing surveillance safety assessment where the model can be further verified, refined and enriched by “predict-learn-confirm” process as more in vitro and clinical data becomes available. Adoption of such QSTS modelling strategies can significantly benefit precise TdP risk assessment and mitigation.

Miejsce wydania:

Kraków

Stopień studiów:

2 - studia doktoranckie

Dyscyplina:

choroby układu krążenia ; farmakologia

Instytucja nadająca tytuł:

Wydział Farmaceutyczny

Promotor:

Polak, Sebastian ; Wiśniowska, Barbara

Data:

2018

Data wydania:

2018

Typ:

Praca doktorska

Sygnatura:

ZB-130305

Język:

eng; pol

Prawa dostępu:

nieograniczony