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Targeted therapy using engineered extracellular vesicles: principles and strategies for membrane modification
Open accessAbstract
Extracellular vesicles (EVs) are 30–150 nm membrane-bound vesicles naturally secreted by cells and play important roles in intercellular communication by delivering regulatory molecules such as proteins, lipids, nucleic acids and metabolites to recipient cells. As natural nano-carriers, EVs possess desirable properties such as high biocompatibility, biological barrier permeability, low toxicity, and low immunogenicity, making them potential therapeutic delivery vehicles. EVs derived from specific cells have inherent targeting capacity towards specific cell types, which is yet not satisfactory enough for targeted therapy development and needs to be improved. Surface modifications endow EVs with targeting abilities, significantly improving their therapeutic efficiency. Herein, we first briefly introduce the biogenesis, composition, uptake and function of EVs, and review the cargo loading approaches for EVs. Then, we summarize the recent advances in surface engineering strategies of EVs, focusing on the applications of engineered EVs for targeted therapy. Altogether, EVs hold great promise for targeted delivery of various cargos, and targeted modifications show promising effects on multiple diseases. Graphical Abstract
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![Fig. 3 Targeted delivery of circDYM to brain by genetically engineered EVs with RVG peptide for CUS treatment [112]. A Schematic diagram of the production of RVG-decorated and circDYM-packaged EVs from HEK 293T cell. B Representative near infrared fluorescence (NIRF) images of mice brains after intravenous administration of DiR-labelled mock EVs or RVG-EVs (200 μg) at different time points. C The significantly relieved depressive-like behaviors by RVG-EVs delivered CircDYM in CUS mice as measured by the behavior tests, including SPT, FST, TST and OFT (n = 6 for each group) (*P, **P, ***P vs the Control + RVG-Vector-EVs group; #P, ##P, ###P vs the CUS + RVG-Vector-EVs group). *P, #P < 0.05; **P, ##P < 0.01; ***P, ###P < 0.001. Two-way ANOVA followed by the Holm–Sidak test were used for the multiple comparisons (Reproduced under the terms of the CC-BY 4.0. Copyright 2022, The Authors, published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles)](/paper-figures/865b82a96bb7483f9ff015399f6796b5/targeted-therapy-using-engineered-extracellular-vesicles-principles-and-figure-3.jpg)
![Fig. 4 Targeted delivery of miR-210 by chemically modified EVs for MCAO treatment [145]. A Schematic diagram of RGD modification on EV surface by EDC/NHS coupling chemistry and click chemistry. B NIRF imaging of the MCAO mouse brains 6 h after the intravenous injection of PBS, unmodified EVs with miR-210 (Exo:miR-210), scramble peptide-modified EVs with miR-210 (Scr-exo:miR-210), and RGDyK-modified EVs with miR-210 (RGD-exo:miR-210) (EVs labeled with Cy5.5). C The mRNA level of VEGF in the lesion region of MCAO mice 24 h after the intravenous injection of PBS, Scr-exo:miR-210, RGD modified EVs (RGD-exo), RGD modified EVs with controlled RNA (RGD-exo:NC), and RGD-exo:miR-210 (**P < 0.01 vs the Sham group; #P < 0.05, ##P < 0.01 vs RGD-exo:miR-210 group using one-way ANOVA followed by Tukey’s post hoc test). D Survival rate of MCAO mice after the intravenous administration of RGD-exo-NC and RGD-exo:miR-210 (Reproduced under the terms of the CC-BY 4.0. Copyright 2019, The Authors, published by BioMed Central on behalf of the Journal of Nanobiotechnology)](/paper-figures/5ac2cdad7b6648188871e652946484ff/targeted-therapy-using-engineered-extracellular-vesicles-principles-and-figure-4.jpg)
![Fig. 5 Targeted delivery of PTX by enzymatically conjugated RBCEVs for EGFR+ lung cancer treatment [156]. A Schematic diagram of the conjugation between biotin modified ET-NGL peptide (bi-EL-NGL) and GL containing EV (GL-EV) by OaAEP1 ligase. B Distribution of intravenously administrated uncoated RBCEVs, Cont-coated RBCEVs and ET-coated RBCEVs (DiR labeling) in different organs from EGFR+ lung cancer xenografted mouse model by IVIS imaging. C H&E staining and TUNEL assay of lung sections from EGFR+ lung cancer xenografted mouse model with the administration of PTX, PTX delivered by uncoated RBCEVs, PTX delivered by Cont-coated RBCEVs, and PTX delivered by ET-coated RBCEVs (TUNEL, green; Cell nucleus, blue; Scale bar = 100 μm) (Reproduced under the terms of the CC-BY 4.0. Copyright 2020, The Authors, published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles)](/paper-figures/dee0957c630c4a4ab9bf5781f46c0265/targeted-therapy-using-engineered-extracellular-vesicles-principles-and-figure-5.jpg)
![Fig. 6 Targeted delivery of TP and miR497 by liposome-EV fused vesicels for cisplatin-resistant ovarian cancer treatment [159]. A Schematic diagram of the production of miR497/TP HENPs by membrane fusing between RGD-modified liposome and CD47-bearing EVs, and biomineraliazation for the encapsulation of miR497. B Distribution of intravenously administrated free Dir dye, Dir-labeled liposome and Dir-labeled HENPs in different organs and tumor tissue from the SKOV3-CDDP xenografted mice by the in vivo imaging apparatus. C The dissected tumor tissue and the tumor growth record curves of SKOV3-CDDP xenografted mice after the intravenous administration of miR497, miR497-HENPs, TP, TP-HENPs, and miR497/TP-HENPs (***P < 0.001 using two-way or one-way ANOVA for independent t test analysis by GraphPad Prism software 8.0) (Reproduced under the terms of the CC-BY 4.0. Copyright 2022, The Authors, published by BioMed Central on behalf of the Journal of Nanobiotechnology)](/paper-figures/cb2ccff4eb1942b0abe41a273ca6a6d3/targeted-therapy-using-engineered-extracellular-vesicles-principles-and-figure-6.jpg)


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“In addition, exosomes can be genetically engineered, chemically surface modified or enzymatically engineered to introduce peptides and proteins to enhance their targeting ability [42, 83–86].”
From Exosome for mRNA delivery: Strategies and therapeutic applications (2024) · cites this paper as [85]
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Metadata
- Authors
- Liu, Q., Li, D., Pan, X., & Liang, Y.
- Affiliations
- Shenzhen University (CN)
- Jinan University (CN)
- Corresponding author
- Pan, Xiaohua
- Liang, Yujie
- Venue
- Journal of Nanobiotechnology
- Published
- 2023-09-16
- Volume
- 21
- Issue
- 1
- Pages
- 334-334
- ISSN
- 1477-3155 (ISSN-L)
- PMC
- PMC10505332
- OpenAlex
- W4386799292
- Cited by
- 201
- References
- 172
- Citations by year
- 2026: 96 · 2025: 65 · 2024: 36 · 2023: 4
- FWCI
- 5.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Nanobiotechnology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Sanming Project of Medicine in Shenzhen (SZGSP013, JSGG20191129094218565, SZSM202106019, SZXK042, GJHZ20190820115203714)
- Basic and Applied Basic Research Foundation of Guangdong Province (2023A1515011936)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Keywords
- extracellular vesicles, engineered extracellular vesicles, membrane modification, surface engineering, targeted delivery, cargo loading, EV biogenesis, EV uptake, intercellular communication, therapeutic delivery vehicles, nanocarriers
- MeSH terms
- Extracellular Vesicles, Biological Transport, Cell Communication, Nucleic Acids, Permeability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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