Nano-biohybrid systems for the targeted delivery of chemotherapeutics

Extracellular vesicles, as a form of cell-derived drug delivery systems (DDSs), have emerged as a novel alternative to their synthetic counterparts (<i>e.g.</i> liposomes) due to advantages associated with their intrinsic biocompatibility, non-immunogenicity and tissue-targeting ability. Nonetheless, the clinical application of these naturally secreted vesicles is still hindered by tedious isolation methods, poor drug-loading efficiencies and difficulties in surface functionalization. Our group has conceived a biohybrid DDS, termed nano-cell vesicle technology systems (nCVTs), through the fusion of cellular membranes and synthetic lipids. nCVTs are expected to combine the benefits of both the synthetic lipids and the cellular component. Here, we report the production of doxorubicin (DOX)-loaded nCVTs <i>via</i> thin-film rehydration and extrusion, showing high loading efficiency, intrinsic targeting abilities, preferential uptake in cancer cells and a superior <i>in vivo</i> anticancer effect compared with DOX-loaded liposomes and the free drug. With the administration of DOX-loaded nCVTs, we observed an improvement in tumor growth inhibition without any significant cardiac toxicity detected. Taken together, our results suggest the potential of nCVTs to be developed as a promising DDS for the targeted delivery of chemotherapeutics.

Authors

Institutions

Publication Details

Journal
Nanoscale
Published
2025-01-01
DOI
https://doi.org/10.1039/d5nr02316e
Primary Topic
Nanoparticle-Based Drug Delivery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nano-biohybrid systems for the targeted delivery of chemotherapeutics

Wei Heng Chng, Giorgia Pastorin, Yi-Hsuan Ou, Ram Pravin Kumar Muthuramalingam et al.
Nanoscale
Nanoparticle-Based Drug Delivery
article

Nano-biohybrid systems for the targeted delivery of chemotherapeutics

Wei Heng Chng, Giorgia Pastorin, Yi-Hsuan Ou, Ram Pravin Kumar Muthuramalingam, Jeremy Liang, Choon Keong Lee, Nicolette Yau
article en

Abstract

Extracellular vesicles, as a form of cell-derived drug delivery systems (DDSs), have emerged as a novel alternative to their synthetic counterparts (<i>e.g.</i> liposomes) due to advantages associated with their intrinsic biocompatibility, non-immunogenicity and tissue-targeting ability. Nonetheless, the clinical application of these naturally secreted vesicles is still hindered by tedious isolation methods, poor drug-loading efficiencies and difficulties in surface functionalization. Our group has conceived a biohybrid DDS, termed nano-cell vesicle technology systems (nCVTs), through the fusion of cellular membranes and synthetic lipids. nCVTs are expected to combine the benefits of both the synthetic lipids and the cellular component. Here, we report the production of doxorubicin (DOX)-loaded nCVTs <i>via</i> thin-film rehydration and extrusion, showing high loading efficiency, intrinsic targeting abilities, preferential uptake in cancer cells and a superior <i>in vivo</i> anticancer effect compared with DOX-loaded liposomes and the free drug. With the administration of DOX-loaded nCVTs, we observed an improvement in tumor growth inhibition without any significant cardiac toxicity detected. Taken together, our results suggest the potential of nCVTs to be developed as a promising DDS for the targeted delivery of chemotherapeutics.

NanoscaleVol. 17(41)
Harvard University (US), National University of Singapore (SG)
Openalex Percentile: Top 84%
Nanoparticle-Based Drug Delivery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.