Evidence map›Paper›PMID 39001700›Full record

ArticleJournal of extracellular vesicles2024

Optimized AF4 combined with density cushion ultracentrifugation enables profiling of high-purity human blood extracellular vesicles.

Liqiao Hu, Xinyue Zheng, Maoge Zhou, Jifeng Wang, Lingjun Tong, Ming Dong, Tao Xu, Zonghong Li

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

8 authors.

Liqiao HuKey Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0003-3904-4070
Xinyue ZhengKey Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Maoge ZhouGuangzhou National Laboratory, Guangzhou, China.
Jifeng WangLaboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Lingjun TongJinan Central Hospital, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Ming DongGuangzhou National Laboratory, Guangzhou, China.
Tao XuGuangzhou National Laboratory, Guangzhou, China.
Zonghong LiGuangzhou National Laboratory, Guangzhou, China.ORCID https://orcid.org/0000-0002-5153-0007

Funding

Guangdong Province High-level Talent Youth Project 2021QN02Y939National Natural Science Foundation of China 82200884R&D Program of Guangzhou Laboratory ZL-SRPG2201901
6 · The paper itself

Abstract

Extracellular vesicles (EVs) have emerged as a promising tool for clinical liquid biopsy. However, the identification of EVs derived from blood samples is hindered by the presence of abundant plasma proteins, which impairs the downstream biochemical analysis of EV-associated proteins and nucleic acids. Here, we employed optimized asymmetric flow field-flow fractionation (AF4) combined with density cushion ultracentrifugation (UC) to obtain high-purity and intact EVs with very low lipoprotein contamination from human plasma and serum. Further proteomic analysis revealed more than 1000 EV-associated proteins, a large proportion of which has not been previously reported. Specifically, we found that cell-line-derived EV markers are incompatible with the identification of plasma-EVs and proposed that the proteins MYCT1, TSPAN14, MPIG6B and MYADM, as well as the traditional EV markers CD63 and CD147, are plasma-EV markers. Benefiting from the high-purity of EVs, we conducted comprehensive miRNA profiling of plasma EVs and nanosized particles (NPs), as well as compared plasma- and serum-derived EVs, which provides a valuable resource for the EV research community. Overall, our findings provide a comprehensive assessment of human blood EVs as a basis for clinical biopsy applications.

Indexed as

Extracellular VesiclesUltracentrifugationBiomarkersCentrifugation, Density GradientFractionation, Field FlowHumansLiquid BiopsyMicroRNAsProteomicsBiomarkersMicroRNAsAF4extracellular vesicleshuman bloodliquid biopsyplasma and serum

Identifiers

PMID39001700
PMCPMC11245685

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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.