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    Interactions between curcumin and cell membrane models by Langmuir monolayers

    Year: 2022

    Journal: Colloid Surf. B-Biointerfaces, Volume 217, SEP

    Authors: Pedrosa, Maria; Maldonado-Valderrama, Julia; Jose Galvez-Ruiz, Maria

    Organizations: Doctoral Programme in Physics and Space Sciences of the University of Granada [FPU19/02045]; Biocolloid and Fluid Physics Group of the University of Granada (Spain) [PID2020-116615RA-I00]; MCIN/AEI [FPU19/02045, B09/56/1, RTI2018-101309-B-C21]; Universidad de Granada/CBUA; [PAI-FQM115]

    Keywords: Cell membrane model; Curcumin; Langmuir monolayers; Compressibility; Brewster Angle Microscopy; Atomic Force Microscopy

    Studying interactions between potential anticancer drugs and cell membrane models is of great interest to explore the capability of novel drugs in the development of anticancer treatments. Lipid membrane models are useful to understand cellular interactions and to discern drug mechanism action. Here, the interactions of curcumin, as a bioactive natural compound with anti-cancer properties, with both healthy and cancerous or tumor cell membrane models, based on Langmuir monolayers, have been studied. The healthy-cell membrane model is composed of cholesterol 67%, and saturated lipid dipalmitoylphosphatidylcholine 33%. The cancerous-cellmembrane-model is composed of a lower proportion of cholesterol, 25%, and unsaturated lipid sphingomyelin 75%. To compare their interaction with curcumin we report the compression isotherms registered for both lipid membrane models and curcumin in different proportions, their compression moduli and the thermodynamic interaction parameters. From this analysis, we evidence a destabilizing interaction between curcumin and the cancerous cell membrane model in comparison with the healthy one. This interaction is further visualized by micro-Brewster Angle and Atomic Force Microscopies. Our experiments show that the drug enhances cohesion in the healthy membrane model whereas it fluidifies the cancerous cell membrane model causing thermodynamic destabilization. These are useful results to improve the selectivity of the drug avoiding adverse side effects of most current anticancer therapies.
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