The Effectiveness Of Lipids Derived From Pseudomonas Putida Bacteria In The Formulation Of Nanoliposomes Enhances The Delivery Of Vincristine For The Treatment Of Prostate Cancer.
Saba Jalilian, Mohammad Javad Hoseinifar, Zahra Asadi, Elham Arkan, Nahid Moarrefzadeh, Faranak Aghaz
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引用次数: 0
Abstract
Prostate cancer (PCa) presents a significant challenge globally due to drug resistance and the severe side effects linked to conventional treatments. In this study, we developed vincristine-loaded nanoliposome-based lipids derived from Pseudomonas putida bacteria (VCR-NLPs) utilizing a thin-layer method. The produced bacteria-lipid-based nanoliposomes represented a critical advancement in drug delivery, offering superior drug encapsulation, controlled release, and enhanced biocompatibility. VCR-NLPs were thoroughly characterized, displaying a spherical morphology with an average particle size of approximately 145 nm, a final zeta potential of -13.1 mV, and a biphasic release profile of VCR. The formulation exhibited efficient drug loading, with 50% release at pH 7.4 and 70% at pH 6, reflecting pH-responsive release behavior tailored to the acidic tumor microenvironment, thereby enhancing therapeutic efficacy. Our flow-cytometric analysis confirmed an efficient induction of late-stage apoptosis in PC3 cells after treatment with VCR-NLPs. These findings suggest that Pseudomonas putida-Lipid-based VCR-NLPs offer a promising nanocarrier system for targeted prostate cancer therapy, due to inducing controlled release of VCR and improving biocompatibility of it, for clinical treatments.
期刊介绍:
The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).