Basement membrane properties and their recapitulation in organ-on-chip applications
Golestan Salimbeigi1, Nihal E Vrana2,3, Amir M Ghaemmaghami4
1School of Mechanical and Manufacturing Engineering, Dublin City University, Dublin 9, Ireland.
Materials Today. Bio
|June 26, 2023
Summary
Developing better in vitro cell culture models is crucial for drug discovery and toxicology. This review highlights the need for improved basement membrane-mimicking substrates in organ-on-chips to enhance physiological relevance.
Area of Science:
- Biomedical Engineering
- Toxicology
- Drug Discovery
Background:
- Animal testing in drug discovery has limitations due to species differences and ethical concerns.
- Current in vitro cell culture models struggle to accurately replicate human organ physiology.
- Organ-on-chips (OOCs) offer a promising alternative but require improved barrier membrane design.
Purpose of the Study:
- To review the importance of basement membrane (BM) characteristics in in vitro organ models.
- To identify key parameters for replicating native BM properties.
- To guide the development of advanced BM-mimicking substrates for barrier organ models.
Main Methods:
- Literature review focusing on the physical and mechanical properties of membranes in cell culture.
- Analysis of current limitations in OOC technology regarding barrier membranes.
- Identification of critical BM characteristics for physiological relevance.
Main Results:
- The physical and mechanical properties of cell culture membranes significantly influence cell and system behavior.
- Current commercial membranes in OOCs poorly replicate native basement membrane architectures.
- Replicating native BM characteristics is essential for accurate modeling of physical and metabolic barriers.
Conclusions:
- Advanced BM-mimicking substrates are crucial for developing physiologically relevant in vitro barrier organ models.
- Future OOC development should prioritize substrates that accurately recapitulate native basement membrane properties.
- Improved in vitro models will enhance the reliability of drug compound and toxin assessment.
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