Evidence map›Paper›PMID 41362059›Full record

ArticleJournal of extracellular vesicles2025

Universal Microfluidic Platform for Multifunctional Surface Modification of Small Extracellular Vesicles.

Yanhang Hong, Huitao Zhang, Lin Zeng, Yicheng Wang, Yan You, Jienan Shen, Rui Hao, Lianyu Lu, Shi Hu, Zitong Yu and 2 more

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
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  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yanhang HongState Key Laboratory of Biomedical Imaging Science and System, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Huitao ZhangState Key Laboratory of Biomedical Imaging Science and System, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Lin ZengState Key Laboratory of Biomedical Imaging Science and System, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yicheng WangMOE Key Laboratory of Smart Drug Delivery, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, School of Pharmacy, Fudan University, Shanghai, China.
Yan YouMOE Key Laboratory of Smart Drug Delivery, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, School of Pharmacy, Fudan University, Shanghai, China.
Jienan ShenState Key Laboratory of Biomedical Imaging Science and System, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Rui HaoState Key Laboratory of Biomedical Imaging Science and System, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Lianyu LuState Key Laboratory of Biomedical Imaging Science and System, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shi HuState Key Laboratory of Biomedical Imaging Science and System, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Zitong YuState Key Laboratory of Biomedical Imaging Science and System, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Cong LiMOE Key Laboratory of Smart Drug Delivery, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, School of Pharmacy, Fudan University, Shanghai, China.
Hui YangState Key Laboratory of Biomedical Imaging Science and System, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-6800-6308

Funding

Ministry of Science and Technology of the People's Republic of China 2023YFF0721500National Natural Science Foundation of China 52405634National Natural Science Foundation of China 62475279National Natural Science Foundation of China 82227806
6 · The paper itself

Abstract

Small Extracellular vesicles (sEVs) hold great promise as therapeutic delivery vehicles due to their inherent biocompatibility. However, their clinical translation is limited by donor cell source dependency and inadequate targeting capabilities. To overcome these challenges, we introduce a universal surface engineering strategy that integrates lipid membrane anchoring with targeted ligand conjugation. At the core of this approach is the sEV Surface-Engineering microfluidic device (ExoSE), a dual-functional platform combining nanofluidic and microfluidic architectures. ExoSE consists of two interconnected modules: (1) a loading module that employs mechanoporation via nanochannels to transiently generate pores in sEV membranes, enabling highly efficient insertion of functionalized lipids and (2) a mixing module with specialized structures that facilitate rapid, covalent attachment of targeting ligands via optimized chemical reactions. This approach achieved lipid incorporation efficiencies of 97.93% for HEK293T-dervied sEVs and 98.47% for milk-derived sEVs, surpassing conventional co-incubation techniques. NanoFCM analysis revealed a 3- to 6-fold increase in ligand binding per sEV. Functionally, RGE peptide-modified sEVs exhibited a 54.13% increase in transmembrane transport efficiency in the in vitro model and enhanced infiltration into glioma spheroid, while AS1411 aptamer-conjugated sEVs showed 77.8% targeting specificity towards breast cancer cells, compared to 32.5% for normal breast cells. In vivo tracking in BALB/c-nude mice confirmed significantly improved brain accumulation of engineered sEVs, with no detectable hepatic or renal toxicity. Unlike traditional donor-cell-dependent genetic modification approaches, ExoSE enables universal, scalable modification of sEVs from diverse sources, including highly abundant milk-derived sEVs, and accommodates diverse ligand types such as peptides, aptamers and proteins. This device represents a transformative advancement in sEV engineering, establishing a standardized and scalable framework for precision-targeted sEV therapeutics with enhanced clinical potential.

Indexed as

Extracellular VesiclesLab-On-A-Chip DevicesMicrofluidicsAnimalsDrug Delivery SystemsFemaleHEK293 CellsHumansMice

Identifiers

PMID41362059
PMCPMC12686133

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.