Evidence map›Paper›PMID 41060345›Full record

ReviewWorld journal of microbiology & biotechnology2025

Bacterial outer membrane vesicles: a novel target in mediating bacterial infection and host immune responses.

Beiliang Miao, Jiatong Han, Yuru Jiang, Li Yu, Yingjun Liu, Fangyuan Du, Xinyu Zhu, Xuezhong Gong, Zhengsheng Li, Zeliang Chen and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  8. The role ofJournal of oral microbiology · 2026
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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

11 authors.

Beiliang Miao *Department of Nephrology and Endocrinology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China.
Jiatong Han *Department of Nephrology and Endocrinology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China.
Yuru JiangGraduate School of Beijing University of Chinese Medicine, Beijing, 100029, China.
Li YuGraduate School of Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Yingjun LiuDepartment of Nephrology and Endocrinology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China.
Fangyuan DuSchool of Animal Science and Medicine, Shenyang Agricultural University, Shenyang, 110161, China.
Xinyu ZhuDepartment of Nephrology and Endocrinology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China.
Xuezhong GongDepartment of Nephrology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai Universityof Traditional Chinese Medicine, Shanghai, China.
Zhengsheng LiDepartment of Nephrology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Zeliang ChenSchool of Animal Science and Medicine, Shenyang Agricultural University, Shenyang, 110161, China. chenzliang5@sysu.edu.cn.
Shiwei LiuDepartment of Nephrology and Endocrinology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China. liushiwei1977@126.com.

Funding

Beijing Natural Science Foundation L258049Capital`s Funds for Health Improvement and Research 2024-2-4165National Natural Science Foundation of China 82074407Qiankehe Basic ZK [2024] General 413The Fifth National Excellent Clinical Talents Project of Traditional Chinese Medicine Chinese Medicine People's Education Letter〔2022〕No.1
6 · The paper itself

Abstract

Outer membrane vesicles (OMVs), originating from the outermost membrane of cells, are the extracellular vesicles released by bacteria, containing bacterial outer membrane components such as phospholipids, lipopolysaccharides (LPS), outer membrane proteins, and bacteria-specific antigens. OMVs have progressively been acknowledged as a novel secretory system, playing a pivotal role in mediating bacterial infections and modulating host immune responses. They are anticipated to emerge as a promising therapeutic target for the intervention of bacterial infectious diseases in the future. Based on this, the present article provides a comprehensive review of the role of OMVs in bacterial infections and immune modulation. This article summarizes that OMVs can mediate bacterial infections by transporting virulence genes and antibiotic resistance genes, as well as by carrying pathogen-associated molecular patterns (PAMPs). Additionally, they modulate host immune functions through direct interactions with immune cells such as neutrophils, macrophages, and dendritic cells. Furthermore, OMVs can facilitate bacterial immune evasion by modulating biofilm formation, resisting host antimicrobial peptides, and inhibiting the functionality of the complement system. Given that OMVs are non-replicative and contain a wealth of bacterial antigens, coupled with their ability to effectively activate the immune system, they are regarded as highly promising vaccine candidates. This article concludes by summarizing the concepts and strategies for developing vaccines based on OMVs. It is anticipated that this article will provide a more comprehensive understanding of the role of OMVs in research related to bacterial infectious diseases.

Indexed as

BacteriaBacterial InfectionsBacterial Outer MembraneBacterial Outer Membrane ProteinsExtracellular VesiclesAnimalsBacterial VaccinesHost-Pathogen InteractionsHumansImmune EvasionPathogen-Associated Molecular Pattern MoleculesBacterial Outer Membrane ProteinsBacterial VaccinesPathogen-Associated Molecular Pattern MoleculesBacterial infectionImmune responseOuter membrane vesicles (OMVs)Vaccine

Identifiers

What OpenQuestion holds

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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.