A mathematical model describing the kinetic of cationic liposome production from dried lipid films adsorbed in a multitubular system

Torre, Lucimara Gaziola de la; Carneiro, A. L.; Rosada, Rogério Silva; Silva, C. L.; Santana, Maria Helena Andrade

doi:10.1590/s0104-66322007000400002

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…The cross-sectional area of a phosphatidylcholine headgroup was denoted as ‘ a ’ with a value of 0.71 nm 2 [ 74 ] and the number of HSPC molecules per liposome calculated from Equation (3).

…”

Section: Resultsmentioning

confidence: 99%

Formulation, Development, and In Vitro Evaluation of a CD22 Targeted Liposomal System Containing a Non-Cardiotoxic Anthracycline for B Cell Malignancies

et al. 2018

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Doxorubicin cardiotoxicity has led to the development of superior chemotherapeutic agents such as AD 198. However, depletion of healthy neutrophils and thrombocytes from AD 198 therapy must be limited. This can be done by the development of a targeted drug delivery system that delivers AD 198 to the malignant cells. The current research highlights the development and in vitro analysis of targeted liposomes containing AD 198. The best lipids were identified and optimized for physicochemical effects on the liposomal system. Physiochemical characteristics such as size, ζ-potential, and dissolution were also studied. Active targeting to CD22 positive cells was achieved by conjugating anti-CD22 Fab’ to the liposomal surface. Size and ζ-potential of the liposomes was between 115 and 145 nm, and −8 to−15 mV. 30% drug was released over 72 h. Higher cytotoxicity was observed in CD22+ve Daudi cells compared to CD22−ve Jurkat cells. The route of uptake was a clathrin- and caveolin-independent pathway. Intracellular localization of the liposomes was in the endolysosomes. Upon drug release, apoptotic pathways were activated partly by the regulation of apoptotic and oncoproteins such as caspase-3 and c-myc. It was observed that the CD22 targeted drug delivery system was more potent and specific compared to other untargeted formulations.

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“…The cross-sectional area of a phosphatidylcholine headgroup was denoted as ‘ a ’ with a value of 0.71 nm 2 [ 74 ] and the number of HSPC molecules per liposome calculated from Equation (3).

…”

Section: Resultsmentioning

confidence: 99%

Formulation, Development, and In Vitro Evaluation of a CD22 Targeted Liposomal System Containing a Non-Cardiotoxic Anthracycline for B Cell Malignancies

et al. 2018

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“…The modeling of such biological systems requires the use of multiscale approaches that can store information transferred between different scales [ 48 ]. Simulation of NP biodistribution is a multistep process that must consider various aspects varying from the production of delivery systems [ 172 , 173 ] to the physical and biochemical processes associated with drug delivery and cellular uptake [ 174 ]. Thus, a range of mathematical models considers liposomes as typical delivery systems [ 175 , 176 , 177 , 178 , 179 ].…”

Section: Limitation Of the Reviewmentioning

confidence: 99%

Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools

Kutumova

Akberdin

Kiselev

et al. 2022

IJMS

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Cancer treatment and pharmaceutical development require targeted treatment and less toxic therapeutic intervention to achieve real progress against this disease. In this scenario, nanomedicine emerged as a reliable tool to improve drug pharmacokinetics and to translate to the clinical biologics based on large molecules. However, the ability of our body to recognize foreign objects together with carrier transport heterogeneity derived from the combination of particle physical and chemical properties, payload and surface modification, make the designing of effective carriers very difficult. In this scenario, physiologically based pharmacokinetic modeling can help to design the particles and eventually predict their ability to reach the target and treat the tumor. This effort is performed by scientists with specific expertise and skills and familiarity with artificial intelligence tools such as advanced software that are not usually in the “cords” of traditional medical or material researchers. The goal of this review was to highlight the advantages that computational modeling could provide to nanomedicine and bring together scientists with different background by portraying in the most simple way the work of computational developers through the description of the tools that they use to predict nanoparticle transport and tumor targeting in our body.

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“…In this approach, liposomes are produced from the hydration of a thin film of lipids using Bangham's method (Bangham et al, 1965), multitubular system (Torre et al, 2007;Tournier et al, 1999), detergent depletion or emulsion methods, ether/ethanol injection, and reverse phase evaporation (Lasic, 1993;New, 1990). All of these processes are discontinuous and only the ether/ethanol injection and multitubular system are scalable.…”

Section: Technological Processesmentioning

confidence: 99%

Technological Aspects of Scalable Processes for the Production of Functional Liposomes for Gene Therapy

Trevisan¹,

Cavalcanti²,

Oliveira³

et al. 2011

Non-Viral Gene Therapy

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A mathematical model describing the kinetic of cationic liposome production from dried lipid films adsorbed in a multitubular system

Cited by 6 publications

References 6 publications

Formulation, Development, and In Vitro Evaluation of a CD22 Targeted Liposomal System Containing a Non-Cardiotoxic Anthracycline for B Cell Malignancies

Formulation, Development, and In Vitro Evaluation of a CD22 Targeted Liposomal System Containing a Non-Cardiotoxic Anthracycline for B Cell Malignancies

Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools

Technological Aspects of Scalable Processes for the Production of Functional Liposomes for Gene Therapy

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