Evidence map›Paper›PMID 41947512›Full record

ArticleJournal of the American Chemical Society2026

A DNA Origami-Based Cobweb Facilitates Precise and Receptor-Interference Free Modification of Extracellular Vesicle Mimetic for Enhanced Delivery Efficacy.

Shijun Cai, Rui Xu, Yuan Tian, Anqi Song, Nannan Diao, Haowen Li, Linlin Yang, Yumeng Zhao, Xuemei Xu, Qianqian Gao and 5 more

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Shijun CaiHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Rui XuInstitute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Yuan TianInstitute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Anqi SongHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Nannan DiaoInstitute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Haowen LiHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Linlin YangInstitute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Yumeng ZhaoInstitute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Xuemei XuInstitute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Qianqian GaoInstitute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Chao ZhangInstitute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.ORCID 0000-0003-0399-1201
Yanyan MiaoInstitute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Mengyao ZhaoDepartment of Chemistry, State Key Laboratory of Molecular Engineering of Polymers, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials and iChem, Shanghai Wusong Laboratory of Materials Science, Fudan University, Shanghai 200433, China.
Qian TangHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Da HanHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.ORCID 0000-0002-0804-2964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The approach of tailoring ligands on the surface of extracellular vesicle (EV)-based drugs has been pivotal in achieving an effective EV-based therapeutic delivery. However, indiscriminate modifications to the membranes can diminish efficacy due to uncontrollable binding affinities and disruptions in the EV membrane functionality, often caused by disordered ligand coverage. In this study, we present an approach for affinity-tunable and receptor-interference-free extracellular vesicle mimetic (EVM) functionalization. We employ a soft wireframe DNA origami-based "cobweb" to achieve a customized spatial distribution of targeting ligands on the EVM surface, allowing for precise control over the cellular affinity and subsequent EVM uptake. Moreover, by utilizing the hollow structure of the DNA origami cobweb, we are able to program EVM without compromising the native functions of their membrane proteins such as CD47-mediated immune evasion. We believe that our strategy will provide a versatile platform for the targeted delivery of EVM-based drugs with high efficiency.

Indexed as

Biomimetic MaterialsDNADNA NanostructuresDrug Delivery SystemsExtracellular VesiclesHumansLigandsDNALigands

Identifiers

PMID41947512
PMCPMC13107437

What OpenQuestion holds

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Registered trials

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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.