Doxorubicin (DOX) is one of the most efficient antitumor drugs employed in numerous cancer therapies. Its incorporation into lipid-based nanocarriers, such as liposomes, improves the drug targeting into tumor cells and reduces drug side effects. The carriers' lipid composition is expected to affect the interactions of DOX and its partitioning into liposomal membranes. To get a rational insight into this aspect and determine promising lipid compositions, we use numerical simulations, which provide unique information on DOX-membrane interactions at the atomic level of resolution. In particular, we combine classical molecular dynamics simulations and free energy calculations to elucidate the mechanism of penetration of a protonated Doxorubicin molecule (DOX+) into potential liposome membranes, here modeled as lipid bilayers based on mixtures of phosphatidylcholine (PC), sphingomyelin (SM) and cholesterol lipid molecules, of different compositions and lipid phases. Moreover, we analyze DOX+ partitioning into relevant regions of SM-based lipid bilayer systems using a combination of free energy methods. Our results show that DOX+ penetration and partitioning are facilitated into less tightly packed SM-based membranes and are dependent on lipid composition. This work paves the way to further investigations of optimal formulations for lipid-based carriers, such as those associated with pH-responsive membranes.

Siani, P., Donadoni, E., Ferraro, L., Re, F., Di Valentin, C. (2022). Molecular dynamics simulations of doxorubicin in sphingomyelin-based lipid membranes. BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES, 1864(1) [10.1016/j.bbamem.2021.183763].

Molecular dynamics simulations of doxorubicin in sphingomyelin-based lipid membranes

Siani, P;Donadoni, E;Ferraro, L;Re, F;Di Valentin, C
2022

Abstract

Doxorubicin (DOX) is one of the most efficient antitumor drugs employed in numerous cancer therapies. Its incorporation into lipid-based nanocarriers, such as liposomes, improves the drug targeting into tumor cells and reduces drug side effects. The carriers' lipid composition is expected to affect the interactions of DOX and its partitioning into liposomal membranes. To get a rational insight into this aspect and determine promising lipid compositions, we use numerical simulations, which provide unique information on DOX-membrane interactions at the atomic level of resolution. In particular, we combine classical molecular dynamics simulations and free energy calculations to elucidate the mechanism of penetration of a protonated Doxorubicin molecule (DOX+) into potential liposome membranes, here modeled as lipid bilayers based on mixtures of phosphatidylcholine (PC), sphingomyelin (SM) and cholesterol lipid molecules, of different compositions and lipid phases. Moreover, we analyze DOX+ partitioning into relevant regions of SM-based lipid bilayer systems using a combination of free energy methods. Our results show that DOX+ penetration and partitioning are facilitated into less tightly packed SM-based membranes and are dependent on lipid composition. This work paves the way to further investigations of optimal formulations for lipid-based carriers, such as those associated with pH-responsive membranes.
Articolo in rivista - Articolo scientifico
Cholesterol; Doxorubicin; Free energy; Molecular Dynamics; Sphingolipids;
English
8-set-2021
2022
1864
1
183763
reserved
Siani, P., Donadoni, E., Ferraro, L., Re, F., Di Valentin, C. (2022). Molecular dynamics simulations of doxorubicin in sphingomyelin-based lipid membranes. BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES, 1864(1) [10.1016/j.bbamem.2021.183763].
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S000527362100211X-main_compressed.pdf

Solo gestori archivio

Descrizione: Articolo principale (main text)
Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Dimensione 1.2 MB
Formato Adobe PDF
1.2 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/335927
Citazioni
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 7
Social impact