Membrane interactions in drug delivery: Model cell membranes and orthogonal techniques

Ada-Ioana Bunea*, Stine Harloff-Helleberg, Rafael J. Taboryski, Hanne Mørck Nielsen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

To generate the desired effect in the human body, the active pharmaceutical ingredient usually needs to interact with a receptor located on the cell membrane or inside the cell. Thus, understanding membrane interactions is of great importance when it comes to the development and testing of new drug molecules or new drug delivery systems. Nowadays, there is a tremendous selection of both model cell membranes and of techniques that can be used to characterize interactions between selected model cell membranes and a drug molecule, an excipient, or a drug delivery system. Having such a wide selection of model cell membranes and techniques available makes it sometimes challenging to select the optimal combination for a specific study. Furthermore, it is difficult to compare results obtained using different model cell membranes and techniques, and not all in vitro studies translate as well to an estimation of the in vivo biological activity or understanding of mode of action. This review provides an overview of the available lipid bilayer-based model cell membranes and of the most widely employed techniques for studying membrane interactions. Finally, the need for employing complimentary characterization techniques in order to acquire more reliable and in-depth information is highlighted.
Original languageEnglish
Article number102177
JournalAdvances in Colloid and Interface Science
Volume281
Number of pages15
ISSN0001-8686
DOIs
Publication statusPublished - 2020

Keywords

  • Model cell membrane
  • Membrane interaction
  • Lipid bilayer
  • Drug delivery
  • Drug testing

Fingerprint

Dive into the research topics of 'Membrane interactions in drug delivery: Model cell membranes and orthogonal techniques'. Together they form a unique fingerprint.

Cite this