Evidence map›Paper›PMID 38874129›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.

Zesheng Wang, Xiaoyu Zhou, Qinglong Kong, Huimin He, Jiayu Sun, Wenting Qiu, Liang Zhang, Mengsu Yang

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

  1. Review
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  5. Natural Product-Derived Vesicles in Nanotherapeutics.Journal of extracellular vesicles · 2026
    Review
  6. Article
  7. Review
  8. Article
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  15. Article
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  18. Review
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  20. Review

16 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

8 authors.

Zesheng WangDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China.
Xiaoyu ZhouDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China.
Qinglong KongThe Second Department of Thoracic Surgery, Dalian Municipal Central Hospital, Dalian, 116033, P. R. China.
Huimin HeDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China.
Jiayu SunDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China.
Wenting QiuDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China.
Liang ZhangDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China.
Mengsu YangDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China.ORCID 0000-0003-2083-2296

Funding

City University of Hong Kong 9610559City University of Hong Kong 9680217Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Shenzhen Park HZQB-KCZYZ-2021017National Key Research and Development Program of China 2018YFA0901100National Key Research and Development Program of China 2018YFA0901104Tung Biomedical Sciences Centre and City
6 · The paper itself

Abstract

In recent decades, research on Extracellular Vesicles (EVs) has gained prominence in the life sciences due to their critical roles in both health and disease states, offering promising applications in disease diagnosis, drug delivery, and therapy. However, their inherent heterogeneity and complex origins pose significant challenges to their preparation, analysis, and subsequent clinical application. This review is structured to provide an overview of the biogenesis, composition, and various sources of EVs, thereby laying the groundwork for a detailed discussion of contemporary techniques for their preparation and analysis. Particular focus is given to state-of-the-art technologies that employ both microfluidic and non-microfluidic platforms for EV processing. Furthermore, this discourse extends into innovative approaches that incorporate artificial intelligence and cutting-edge electrochemical sensors, with a particular emphasis on single EV analysis. This review proposes current challenges and outlines prospective avenues for future research. The objective is to motivate researchers to innovate and expand methods for the preparation and analysis of EVs, fully unlocking their biomedical potential.

Indexed as

Extracellular VesiclesHumansartificial intelligencedisease diagnosisextracellular vesiclessingle EV

Identifiers

PMID38874129
PMCPMC11321646

What OpenQuestion holds

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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.