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Effect of Protocatechuic Acid Ethyl Ester on Biomembrane Models: Multilamellar Vesicles and Monolayers.
Torrisi, Cristina; Malfa, Giuseppe Antonio; Acquaviva, Rosaria; Castelli, Francesco; Sarpietro, Maria Grazia.
Afiliação
  • Torrisi C; Department of Drug and Health Sciences, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy.
  • Malfa GA; Department of Drug and Health Sciences, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy.
  • Acquaviva R; Department of Drug and Health Sciences, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy.
  • Castelli F; Department of Drug and Health Sciences, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy.
  • Sarpietro MG; Department of Drug and Health Sciences, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy.
Membranes (Basel) ; 12(3)2022 Feb 28.
Article em En | MEDLINE | ID: mdl-35323757
ABSTRACT
The interactions of drugs with cell membranes are of primary importance for several processes involved in drugs activity. However, these interactions are very difficult to study due to the complexity of biological membranes. Lipid model membranes have been developed and used to gain insight into drug-membrane interactions. In this study, the interaction of protocatechuic acid ethyl ester, showing radical-scavenging activity, antimicrobial, antitumor and anti-inflammatory effects, with model membranes constituted by multilamellar vesicles and monolayers made of DMPC and DSPC, has been studied. Differential scanning calorimetry and Langmuir-Blodgett techniques have been used. Protocatechuic acid ethyl ester interacted both with MLV and monolayers. However, a stronger interaction of the drug with DMPC-based model membranes has been obtained. The finding of this study could help to understand the protocatechuic acid ethyl ester action mechanism.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Membranes (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Membranes (Basel) Ano de publicação: 2022 Tipo de documento: Article