Evidence map›Paper›PMID 37251406›Full record

ArticleFrontiers in immunology2023

Proteomic profiling of single extracellular vesicles reveals colocalization of SARS-CoV-2 with a CD81/integrin-rich EV subpopulation in sputum from COVID-19 severe patients.

Ruiting Sun, Yanling Cai, Yumin Zhou, Ge Bai, Airu Zhu, Panyue Kong, Jing Sun, Yimin Li, Yuefei Liu, Wenting Liao and 7 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  6. A Fraction ofInternational journal of molecular sciences · 2025
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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

17 authors.

Ruiting SunNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Yanling CaiShenzhen Second People's Hospital, Postdoctoral Workstation of Zhongshan School of Medicine, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Yumin ZhouNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Ge BaiNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Airu ZhuNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Panyue KongNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Jing SunNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Yimin LiNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Yuefei LiuR&D Department, Shenzhen Secretech Co. Ltd, Shenzhen, Guangdong, China.
Wenting LiaoR&D Department, Shenzhen Secretech Co. Ltd, Shenzhen, Guangdong, China.
Jiye LiuR&D Department, Shenzhen Secretech Co. Ltd, Shenzhen, Guangdong, China.
Nan CuiR&D Department, Shenzhen Secretech Co. Ltd, Shenzhen, Guangdong, China.
Jinsheng XiangR&D Department, Shenzhen Secretech Co. Ltd, Shenzhen, Guangdong, China.
Bing LiNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Jincun ZhaoNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Di WuR&D Department, Shenzhen Secretech Co. Ltd, Shenzhen, Guangdong, China.
Pixin RanNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Researcher Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global outbreak of COVID-19, and the limited availability of clinical treatments, forced researchers around the world to search for the pathogenesis and potential treatments. Understanding the pathogenesis of SARS-CoV-2 is crucial to respond better to the current coronavirus disease 2019 (COVID-19) pandemic. Methods: We collected sputum samples from 20 COVID-19 patients and healthy controls. Transmission electron microscopy was used to observe the morphology of SARS-CoV-2. Extracellular vesicles (EVs) were isolated from sputum and the supernatant of VeroE6 cells, and were characterized by transmission electron microscopy, nanoparticle tracking analysis and Western-Blotting. Furthermore, a proximity barcoding assay was used to investigate immune-related proteins in single EV, and the relationship between EVs and SARS-CoV-2. Result: Transmission electron microscopy images of SARS-COV-2 virus reveal EV-like vesicles around the virion, and western blot analysis of EVs extracted from the supernatant of SARS-COV-2-infected VeroE6 cells showed that they expressed SARS-COV-2 protein. These EVs have the infectivity of SARS-COV-2, and the addition can cause the infection and damage of normal VeroE6 cells. In addition, EVs derived from the sputum of patients infected with SARS-COV-2 expressed high levels of IL6 and TGF-β, which correlated strongly with expression of the SARS-CoV-2 N protein. Among 40 EV subpopulations identified, 18 differed significantly between patients and controls. The EV subpopulation regulated by CD81 was the most likely to correlate with changes in the pulmonary microenvironment after SARS-CoV-2 infection. Single extracellular vesicles in the sputum of COVID-19 patients harbor infection-mediated alterations in host and virus-derived proteins. Conclusions: These results demonstrate that EVs derived from the sputum of patients participate in virus infection and immune responses. This study provides evidence of an association between EVs and SARS-CoV-2, providing insight into the possible pathogenesis of SARS-CoV-2 infection and the possibility of developing nanoparticle-based antiviral drugs.

Indexed as

COVID-19Extracellular VesiclesHumansIntegrinsProteomicsSARS-CoV-2SputumTetraspanin 28CD81 protein, humanIntegrinsTetraspanin 28COVID-19extracellular vesicles subpopulationinflammatory responseSARS-CoV-2single extracellular vesicles

Identifiers

PMID37251406
PMCPMC10214957

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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.