Evidence map›Paper›PMID 40229269›Full record

ArticleNature communications2025

Specific labeling of outer membrane vesicles with antibiotic-conjugated probe reveals early bacterial infections in blood.

Qianbei Li, Zihao Ou, Jinduan Lin, Die Tang, Bairong He, Yuanyuan Wu, Xinyue Huang, Xixin Huang, Bingbing Ru, Qianwen Wang and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. 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.

  1. Article
  2. Review
  3. Article
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  7. Article
  8. Article
  9. Engineering Microbial Particles for Next-Generation Biomedical Platforms.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  10. Comparative Proteomic Profiling of ClinicalJournal of extracellular biology · 2026
    Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. The role ofJournal of oral microbiology · 2026
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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

13 authors.

Qianbei Li *Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Zihao Ou *Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. ozh_xnp@smu.edu.cn.ORCID http://orcid.org/0000-0001-8722-7205
Jinduan Lin *Department of Laboratory Medicine, Affiliated Qingyuan Hospital, Guangzhou Medical University (Qingyuan People's Hospital), Qingyuan, 511500, China.
Die TangMedical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, 518003, China.
Bairong HeDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Yuanyuan WuDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Xinyue HuangPrenatal Diagnosis Center, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Xixin HuangDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.ORCID http://orcid.org/0000-0002-7846-4425
Bingbing RuDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Qianwen WangDepartment of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510260, China.
Weirong YaoThe Second Hospital of Zhangzhou, Zhangzhou, 363000, China.
Bo SituDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. bositu@smu.edu.cn.
Lei ZhengDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. nfyyzhenglei@smu.edu.cn.ORCID http://orcid.org/0000-0003-2576-8780

Funding

China National Funds for Distinguished Young Scientists 82025024Guangzhou Medical University (Guangzhou Medical College) 202301-202Nanfang Hospital 2022J001National Natural Science Foundation of China (National Science Foundation of China) 82272438National Natural Science Foundation of China (National Science Foundation of China) 82302593National Science Foundation of China | Key Programme 82230080Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2023A1515012512Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2023B1515020058Natural Science Foundation of Jiangxi Province (Jiangxi Province Natural Science Foundation) 20232BBG70019
6 · The paper itself

Abstract

Bacterial outer membrane vesicles (OMVs) are nano-sized structures derived from the outer membrane of Gram-negative bacteria, which have emerged as key players in host-pathogen interactions, yet their potential as biomarkers remains largely unexplored due to the difficulty of identification in complex biological samples. Here we show an approach for detecting and quantifying bacterial OMVs in blood using a Polymyxin B-fluorescein probe (PmBF), which targets bacterial lipopolysaccharides (LPS). The probe selectively labels OMVs, enabling their differentiation from host extracellular vesicles and quantitative analysis using nano-flow cytometry. In male mouse models of pneumonia, we observe elevated serum PmBF

Indexed as

Anti-Bacterial AgentsBacterial InfectionsBacterial Outer MembraneExtracellular VesiclesAnimalsBiomarkersDisease Models, AnimalFlow CytometryFluorescent DyesHumansLipopolysaccharidesMaleMiceMice, Inbred C57BLPolymyxin BAnti-Bacterial AgentsBiomarkersFluorescent DyesLipopolysaccharidesPolymyxin B

Identifiers

PMID40229269
PMCPMC11997070

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.