Experimental and Theoretical Analysis of Metal Complex Diffusion through Cell Monolayer.
Katarzyna Gałczyńska1, Jarosław Rachuna1, Karol Ciepluch1
1Institute of Biology, Jan Kochanowski University, Uniwersytecka 7, 25-406 Kielce, Poland.
Entropy (Basel, Switzerland)
|April 3, 2021
Summary
This study developed a laser interferometry method using CHO-K1 cell monolayers to measure drug diffusion. Uncomplexed metal chlorides showed significantly higher cell permeability than metal-allylimidazole complexes.
Area of Science:
- Pharmacology and Toxicology
- Biophysics
- Cell Biology
Background:
- Drug diffusion across biological membranes is critical for pharmaceutical development.
- Epithelial cell barriers are key in drug permeability studies.
- Accurate measurement of compound transport is essential for drug formulation.
Purpose of the Study:
- To develop and validate a novel method for assessing drug diffusion through cell monolayers.
- To quantify the permeability of metal complexes and their chlorides using laser interferometry.
- To establish a basis for mathematical modeling of transport processes.
Main Methods:
- Utilized Chinese Hamster Ovary (CHO-K1) cell monolayers to mimic epithelial barriers.
- Employed laser interferometry for real-time, quantitative analysis of compound diffusion.
- Investigated the transport of nickel(II) and cobalt(II) complexes with 1-allylimidazole and their respective chlorides.
Main Results:
- Laser interferometry effectively quantified compound transport across cell monolayers.
- Nickel(II) and cobalt(II) chlorides exhibited significantly higher permeability than their 1-allylimidazole complexes.
- Specifically, nickel(II) chloride transport was 4.34-fold higher, and cobalt(II) chloride was 1.45-fold higher than their respective complexes after 60 minutes.
Conclusions:
- Laser interferometry is a viable technique for quantitative analysis of drug transport across eukaryotic cell monolayers.
- The complexation of metals with 1-allylimidazole significantly reduces their permeability.
- The quantitative data obtained can inform mathematical models for drug transport and formulation.


