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Updated: Sep 9, 2025

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Author Spotlight: Innovative Microneedle-Based Strategies for Enhanced Exosome Delivery and Stability
Published on: July 12, 2024
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Nanoengineering of Exosomal Surfaces for Precision Targeting and Payload Delivery at the Molecular Level
Dilpreet Singh1, Satvir Singh2, Nitin Tandon2
1School of Pharmaceutical Sciences, CT University, Sidhwan Khurd, India.
Assay and Drug Development Technologies
|September 3, 2025
Summary
Molecular nanoengineering enhances exosomes (extracellular vesicles) for precise drug delivery and gene therapy. This review details strategies to improve targeting, loading, and control for clinical applications.
Area of Science:
- Biotechnology
- Nanomedicine
- Cell Biology
Background:
- Exosomes are nano-sized vesicles with therapeutic potential due to biocompatibility and low immunogenicity.
- Native exosomes exhibit heterogeneity and limited targeting specificity, hindering clinical translation.
- Advanced engineering is crucial to optimize exosome-based therapies.
Purpose of the Study:
- To review molecular-level nanoengineering strategies for exosome surface modification.
- To enhance exosome specificity, payload loading efficiency, and release control.
- To provide a framework for designing engineered exosomes for clinical success.
Main Methods:
- Genetic modification of parent cells.
- Covalent and non-covalent surface conjugation of targeting ligands (peptides, aptamers, nanobodies, glycans).
- Lipid insertion, click chemistry, and hybrid vesicle fusion for exosome engineering.
Main Results:
- Detailed quantitative performance of various targeting ligands and conjugation methods.
- Critical analysis of endogenous and exogenous payload loading techniques.
- Highlighting disease-specific applications in oncology, neurology, cardiology, and immunotherapy.
Conclusions:
- Molecularly engineered exosomes offer a promising platform for targeted drug delivery and therapy.
- Emerging technologies like AI and microfluidics will advance precision exosome development.
- Addressing challenges in scalability and standardization is key for clinical translation.

