Evidence map›Paper›PMID 32873124›Full record

ReviewHuman vaccines & immunotherapeutics2021

Extracellular vesicles of bacteria as potential targets for immune interventions.

Yizhi Peng, Sheng Yin, Min Wang

Open access · bronzeAbstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  3. Review
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  5. The role and mechanism of neutrophils in oncolytic virus therapy.Experimental biology and medicine (Maywood, N.J.) · 2026
    Review
  6. Article
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  10. Review
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  16. Article
  17. Review
  18. Inhibitors of Bacterial Extracellular Vesicles.Frontiers in microbiology · 2022
    Review
  19. Article
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

3 authors at 1 institution in 1 country.

Yizhi PengDepartment of Laboratory Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.ORCID 0000-0003-1709-3445
Sheng YinDepartment of Laboratory Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Min WangDepartment of Laboratory Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial infection is one of the most common and serious diseases. Extracellular vesicles (EVs) expressed by bacterial cells during infection and their biological functions have been a growing field in recent years. The study of the immune interaction mechanism between EVs and bacteria has become more significant. EVs are released into the extracellular microenvironment during bacterial infection. EVs carry various lipids, proteins, nucleic acids, and other substances of host bacteria and participate in various physiological and pathological processes. EV-based vaccines against bacterial infection are also being evaluated. This review focuses on the biological characteristics of EVs, the interaction between EVs and the host immune system, and the potential of EVs as new vaccines. A deeper understanding of the interaction between EVs and the immune system informs on the biological function and heterogeneity of EVs. This knowledge also can facilitate the development and application of EVs and their potential as vaccines.

Indexed as

Extracellular VesiclesVaccinesBacteriaImmune SystemProteinsProteinsVaccinesEVs vaccine active immunity

Identifiers

PMID32873124
PMCPMC7993133
OpenAlexW3082234125

What OpenQuestion holds

Textmetadata
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.