Universität Wien

322571 VU Technological and Biopharmaceutical Aspects of Biologics - M7/M14 (2023W)

1.00 ECTS (1.00 SWS), SPL 32 - Pharmazie
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

Language: English

Lecturers

Classes

Monday November 6th, 2023 - 9:45 a.m. - 11:15 a.m. 2F317
Wednesday November 8th, 2023 - 9:45 a.m. - 11:15 a.m. 2F317
Thursday November 9th, 2023 - 9:45 a.m. - 11:15 a.m. 2F317
Monday November 13th, 2023 - 9:45 a.m. - 11:15 a.m. 2F317
Wednesday November 15th, 2023 - 9:45 a.m. - 11:15 a.m. 2F317
Monday November 20th, 2023 - 9:45 a.m. - 11:15 a.m. 2F317
Wednesday November 22nd, 2023 - 9:45 a.m. - 11:15 a.m. 2F317

Registration time frame: October 2nd, 2023 to October 20th, 2023 inclusive
The number of participants is limited.


Information

Aims, contents and method of the course

LANGUAGE
This course will be taught and assessed in English

AIMS
At the end of this course, participants should:
- Understand the formulation principles for biotechnology products.
- Understand the challenges of protein formulations and how these are addressed through preformulation.
- Recognise the roles of various excipients in protein formulation.
- Understand the principles of shelf-life prediction and be able to calculate shelf-life using appropriate experimental data.
- Understand the role of formulation in improving the release characteristics, bioavailability and efficacy of biologics, via parenteral and non-parenteral routes.
- Understand the basic concepts of pharmacokinetics and how these apply to macromolecule delivery.
- Understand basic pharmacokinetic models, and apply them to the calculation of pharmacokinetic parameters from appropriate experimental data.
- Be able to compare and draw basic conclusions from self-analysed experimental pharmacokinetic data.
- Be able to use Microsoft Excel to analyse experimental biopharmaceutical data and present graphs comparing different experimental conditions.

CONTENTS
The course will cover both preformulation and formulation aspects of biologics, including both protein and nucleic acid-based therapeutics. Adaptations in formulation for different routes of administration will be discussed, together with how release kinetics may be improved. Biopharmaceutical aspects of macromolecular delivery will be discussed in relation to improving pharmacokinetic profiles through formulation changes. Emphasis is placed on understanding and comparing experimental data.

METHODS
This course will be taught using a mixture of lectures and tutorials (a total of 7 sessions). Practice exercises in data handling and presentation using Microsoft Excel provided, to help with each assessment.

Assessment and permitted materials

The individual completion of two Microsoft Excel spreadsheet-based data calculation, presentation and interpretation exercises, form the assessment for this course.
The subjects of these exercises are:
Shelf life prediction calculation exercise (25 marks available)
Pharmacokinetics calculation exercise (25 marks available)

Minimum requirements and assessment criteria

An aggregate total of 50 marks (the sum of the results of the two assessment exercises) will provide the final grade for the course according to the following grading scheme:

1 (excellent) 50 – 44 points
2 (good) 43 – 38 points
3 (satisfactory) 37 – 32 points
4 (sufficient) 31 - 25 points
5 (insufficient) 24 – 0 points

Examination topics

Reading list

Wang & Ohtake, Science and art of protein formulation development. International Journal of Pharmaceutics (2019) 568:118505
https://doi.org/10.1016/j.ijpharm.2019.118505

Anselmo, Gokarn & Mitragotri, Non-invasive delivery strategies for biologics. Nature Reviews Drug Discovery (2019) 18:19–40
https://doi.org/10.1038/nrd.2018.183

Rugo et al., Demystifying biosimilars: development, regulation and clinical use. Future Oncology (2019) 15
https://doi.org/10.2217/fon-2018-0680

Association in the course directory

MA8, MA23

Last modified: Mo 16.10.2023 10:48