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1.
ACS Nano ; 18(22): 13983-13999, 2024 Jun 04.
Artículo en Inglés | MEDLINE | ID: mdl-38767983

RESUMEN

In recent years, steady progress has been made in synthesizing and characterizing engineered nanoparticles, resulting in several approved drugs and multiple promising candidates in clinical trials. Regulatory agencies such as the Food and Drug Administration and the European Medicines Agency released important guidance documents facilitating nanoparticle-based drug product development, particularly in the context of liposomes and lipid-based carriers. Even with the progress achieved, it is clear that many barriers must still be overcome to accelerate translation into the clinic. At the recent conference workshop "Mechanisms and Barriers in Nanomedicine" in May 2023 in Colorado, U.S.A., leading experts discussed the formulation, physiological, immunological, regulatory, clinical, and educational barriers. This position paper invites open, unrestricted, nonproprietary discussion among senior faculty, young investigators, and students to trigger ideas and concepts to move the field forward.


Asunto(s)
Nanomedicina , Humanos , Portadores de Fármacos/química , Liposomas/química , Nanopartículas/química , Estados Unidos
2.
ACS Nano ; 17(23): 24154-24169, 2023 Dec 12.
Artículo en Inglés | MEDLINE | ID: mdl-37992211

RESUMEN

Glioblastoma is characterized by diffuse infiltration into surrounding healthy brain tissues, which makes it challenging to treat. Complete surgical resection is often impossible, and systemically delivered drugs cannot achieve adequate tumor exposure to prevent local recurrence. Convection-enhanced delivery (CED) offers a method for administering therapeutics directly into brain tumor tissue, but its impact has been limited by rapid clearance and off-target cellular uptake. Nanoparticle (NP) encapsulation presents a promising strategy for extending the retention time of locally delivered therapies while specifically targeting glioblastoma cells. However, the brain's extracellular structure poses challenges for NP distribution due to its narrow, tortuous pores and a harsh ionic environment. In this study, we investigated the impact of NP surface chemistry using layer-by-layer (LbL) assembly to design drug carriers for broad spatial distribution in brain tissue and specific glioblastoma cell targeting. We found that poly-l-glutamate and hyaluronate were effective surface chemistries for targeting glioblastoma cells in vitro. Coadsorbing either polymer with a small fraction of PEGylated polyelectrolytes improved the colloidal stability without sacrificing cancer cell selectivity. Following CED in vivo, gadolinium-functionalized LbL NPs enabled MRI visualization and exhibited a distribution volume up to three times larger than liposomes and doubled the retention half-time up to 13.5 days. Flow cytometric analysis of CED-treated murine orthotopic brain tumors indicated greater cancer cell uptake and reduced healthy cell uptake for LbL NPs compared to nonfunctionalized liposomes. The distinct cellular outcomes for different colayered LbL NPs provide opportunities to tailor this modular delivery system for various therapeutic applications.


Asunto(s)
Neoplasias Encefálicas , Glioblastoma , Nanopartículas , Humanos , Ratones , Animales , Glioblastoma/patología , Liposomas/metabolismo , Polímeros/metabolismo , Encéfalo/metabolismo , Nanopartículas/química , Neoplasias Encefálicas/diagnóstico por imagen , Neoplasias Encefálicas/tratamiento farmacológico , Sistemas de Liberación de Medicamentos , Línea Celular Tumoral
3.
Science ; 377(6604): eabm5551, 2022 07 22.
Artículo en Inglés | MEDLINE | ID: mdl-35862544

RESUMEN

To accelerate the translation of cancer nanomedicine, we used an integrated genomic approach to improve our understanding of the cellular processes that govern nanoparticle trafficking. We developed a massively parallel screen that leverages barcoded, pooled cancer cell lines annotated with multiomic data to investigate cell association patterns across a nanoparticle library spanning a range of formulations with clinical potential. We identified both materials properties and cell-intrinsic features that mediate nanoparticle-cell association. Using machine learning algorithms, we constructed genomic nanoparticle trafficking networks and identified nanoparticle-specific biomarkers. We validated one such biomarker: gene expression of SLC46A3, which inversely predicts lipid-based nanoparticle uptake in vitro and in vivo. Our work establishes the power of integrated screens for nanoparticle delivery and enables the identification and utilization of biomarkers to rationally design nanoformulations.


Asunto(s)
Antineoplásicos , Biomarcadores Farmacológicos , Proteínas Transportadoras de Cobre , Composición de Medicamentos , Sistema de Administración de Fármacos con Nanopartículas , Nanopartículas , Neoplasias , Animales , Antineoplásicos/administración & dosificación , Antineoplásicos/metabolismo , Línea Celular Tumoral , Proteínas Transportadoras de Cobre/genética , Expresión Génica , Genómica , Humanos , Liposomas , Ratones , Nanomedicina , Nanopartículas/administración & dosificación , Nanopartículas/metabolismo , Neoplasias/tratamiento farmacológico , Neoplasias/genética , Neoplasias/metabolismo
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