ProjektportalPKPD modeling to explore the impact of study design in antibiotic dose fractionation studies
Terrmin
HT23
Beskrivning
In order for an antibiotic to be both safe and effective, it is important to ensure that approriate dosing is given to the patient. Preclinical studies, for example experimental animal infection studies are central to improve the understanding of the antibiotic effect, and are one of the main drivers of dose selection.
Dose fractionation studies are performed in animal infection models to find correlations between the antibiotic effect (change in bacterial count after 24 hours of treatment) and the three main PK/PD indices: peak concentration to Minimum Inhibitory Concentration ratio (Cmax/MIC), area under the curve to MIC ratio (AUC/MIC), and time where concentration is above MIC (T>MIC).
In these studies, a total daily dose is administered as a single dose or fractionated into multiple doses at different intervals. However, the maximum dose, the number of possible administrations and the number of evaluated dose groups are limited.
This project aims to explore how the design of dose fractionation studies can impact the identification of PK/PD indices, and what additional times of measurement of bacterial count would contribute to better characterize the antibiotic effect, and minimize the need for animal studies.
The student will work on a PKPD modeling framework using R and NONMEM to simulate various study designs, and evaluate the design's impact on accurate identification of PK/PD indices and estimation of the model's PD parameters.
The work will be carried out in Uppsala, however in a research group, that offers an international environment. The working language, including supervision, will be English.
Does this project sounds like something for you? Apply here or contact the supervisor (see below) or Maria Kjellsson (maria.kjellsson@farmaci.uu.se) if you have additional questions. We look forward to your application!
Huvudområde
Farmaceutisk vetenskap
Ämne
Farmakometri
Typ
Beräkningsstudie
Företag
Uppsala Universitet
Ort/Plats
Uppsala
Handledarens namn
Raphaël Saporta and Lena Friberg
Handledarens e-post
raphael.saporta@farmaci.uu.se
Institution
Institutionen för farmaci
Program
Masterprogram i läkemedelsmodellering
Kurs
Degree Project in Pharmaceutical Modeling within Pharmacometrics 45 c - 3FB029
Omfattning/hp
45hp
Hur många studenter kan antagas för detta projekt?
1