Evidence map›Paper›PMID 38793203›Full record

ReviewMicromachines2024

Recent Advances in Microfluidic-Based Extracellular Vesicle Analysis.

Jiming Chen, Meiyu Zheng, Qiaoling Xiao, Hui Wang, Caixing Chi, Tahui Lin, Yulin Wang, Xue Yi, Lin Zhu

Abstract readReview
In one paragraph

Review in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  17. Tumor-derived extracellular vesicles: Bridging communication and next-generation theranostics.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2025
    Review
  18. Article
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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

9 authors.

Jiming ChenDepartment of Basic Medicine, Xiamen Medical College, Xiamen 361023, China.
Meiyu ZhengDepartment of Basic Medicine, Xiamen Medical College, Xiamen 361023, China.
Qiaoling XiaoDepartment of Basic Medicine, Xiamen Medical College, Xiamen 361023, China.
Hui WangDepartment of Basic Medicine, Xiamen Medical College, Xiamen 361023, China.
Caixing ChiDepartment of Basic Medicine, Xiamen Medical College, Xiamen 361023, China.
Tahui LinDepartment of Basic Medicine, Xiamen Medical College, Xiamen 361023, China.ORCID 0000-0001-7627-6095
Yulin WangDepartment of Basic Medicine, Xiamen Medical College, Xiamen 361023, China.
Xue YiDepartment of Basic Medicine, Xiamen Medical College, Xiamen 361023, China.
Lin ZhuDepartment of Basic Medicine, Xiamen Medical College, Xiamen 361023, China.

Funding

College Students' Innovative Entrepreneurial Training Plan Program of Fujian Province 202312631009National Natural Science Foundation of China 22304145Natural Science Foundation of Fujian Province, China 2023J05285Project of Xiamen Medical College K2023-12, K2023-45the Education and Research Project of Young and Middle-aged Teachers of Fujian Province, Chi-na JAT220406the Medical and Health Guidance Project of Xiamen Science and Technology Bureau 3502Z20224ZD1299Xiamen Medical College Transverse Project HX202302
6 · The paper itself

Abstract

Extracellular vesicles (EVs) serve as vital messengers, facilitating communication between cells, and exhibit tremendous potential in the diagnosis and treatment of diseases. However, conventional EV isolation methods are labor-intensive, and they harvest EVs with low purity and compromised recovery. In addition, the drawbacks, such as the limited sensitivity and specificity of traditional EV analysis methods, hinder the application of EVs in clinical use. Therefore, it is urgent to develop effective and standardized methods for isolating and detecting EVs. Microfluidics technology is a powerful and rapidly developing technology that has been introduced as a potential solution for the above bottlenecks. It holds the advantages of high integration, short analysis time, and low consumption of samples and reagents. In this review, we summarize the traditional techniques alongside microfluidic-based methodologies for the isolation and detection of EVs. We emphasize the distinct advantages of microfluidic technology in enhancing the capture efficiency and precise targeting of extracellular vesicles (EVs). We also explore its analytical role in targeted detection. Furthermore, this review highlights the transformative impact of microfluidic technology on EV analysis, with the potential to achieve automated and high-throughput EV detection in clinical samples.

Indexed as

EV detectionEV isolationextracellular vesiclesmicrofluidics

Identifiers

PMID38793203
PMCPMC11122811

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.