Evidence map›Paper›PMID 34692704›Full record

ReviewFrontiers in cell and developmental biology2021

Exosomes, a New Star for Targeted Delivery.

Huizhi Chen, Liyan Wang, Xinling Zeng, Herbert Schwarz, Himansu Sekhar Nanda, Xinsheng Peng, Yubin Zhou

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 211 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
211citing papers in PubMed, 2 pooled it
–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

211 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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151 more citing papers are in PubMed but not listed here.

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

7 authors.

Huizhi ChenSchool of Pharmacy, Guangdong Medical University, Dongguan, China.
Liyan WangSchool of Pharmacy, Guangdong Medical University, Dongguan, China.
Xinling ZengSchool of Pharmacy, Guangdong Medical University, Dongguan, China.
Herbert SchwarzDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Himansu Sekhar NandaBiomedical Engineering and Technology Laboratory, Department of Mechanical Engineering, PDPM-Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India.
Xinsheng PengSchool of Pharmacy, Guangdong Medical University, Dongguan, China.
Yubin ZhouSchool of Pharmacy, Guangdong Medical University, Dongguan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are cell-secreted nanoparticles (generally with a size of 30-150 nm) bearing numerous biological molecules including nucleic acids, proteins and lipids, which are thought to play important roles in intercellular communication. As carriers, exosomes hold promise as advanced platforms for targeted drug/gene delivery, owing to their unique properties, such as innate stability, low immunogenicity and excellent tissue/cell penetration capacity. However, their practical applications can be limited due to insufficient targeting ability or low efficacy in some cases. In order to overcome these existing challenges, various approaches have been applied to engineer cell-derived exosomes for a higher selectivity and effectiveness. This review presents the state-of-the-art designs and applications of advanced exosome-based systems for targeted cargo delivery. By discussing experts' opinions, we hope this review will inspire the researchers in this field to develop more practical exosomal delivery systems for clinical applications.

Indexed as

drug deliveryexosome engineeringexosomesextracellular vesiclesgene deliverytargeted delivery

Identifiers

PMID34692704
PMCPMC8531489

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.