Evidence map›Paper›PMID 34937167›Full record

ArticleMicrobiology spectrum2021

Considerations for the Analysis of Bacterial Membrane Vesicles: Methods of Vesicle Production and Quantification Can Influence Biological and Experimental Outcomes.

Natalie J Bitto, Lauren Zavan, Ella L Johnston, Timothy P Stinear, Andrew F Hill, Maria Kaparakis-Liaskos

Abstract read
In one paragraph

Article in Microbiology spectrum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Gut microbes · 2026
    Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Outer Membrane Vesicles Derived from Yak Isolates ofAnimals : an open access journal from MDPI · 2026
    Article
  9. Article
  10. Review
  11. Outer membrane vesicles inMicrobial cell (Graz, Austria) · 2026
    Article
  12. Review
  13. Antibiotics Impact the Cytotoxicity and Cytopathic Effect ofInternational journal of molecular sciences · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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

6 authors.

Natalie J BittoDepartment of Physiology, Anatomy and Microbiology, La Trobe Universitygrid.1018.8, Melbourne, Victoria, Australia.ORCID 0000-0003-3533-9824
Lauren ZavanDepartment of Physiology, Anatomy and Microbiology, La Trobe Universitygrid.1018.8, Melbourne, Victoria, Australia.ORCID 0000-0003-4700-3033
Ella L JohnstonDepartment of Physiology, Anatomy and Microbiology, La Trobe Universitygrid.1018.8, Melbourne, Victoria, Australia.ORCID 0000-0003-2880-5719
Timothy P StinearDepartment of Microbiology and Immunology, Doherty Institute, University of Melbournegrid.1008.9, Parkville, Victoria, Australia.ORCID 0000-0003-0150-123X
Andrew F HillResearch Centre for Extracellular Vesicles, School of Molecular Sciences, La Trobe Universitygrid.1018.8, Melbourne, Victoria, Australia.ORCID 0000-0001-5581-2354
Maria Kaparakis-LiaskosDepartment of Physiology, Anatomy and Microbiology, La Trobe Universitygrid.1018.8, Melbourne, Victoria, Australia.ORCID 0000-0002-8964-4456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial membrane vesicles (BMVs) are produced by all bacteria and facilitate a range of functions in host-microbe interactions and pathogenesis. Quantification of BMVs is a critical first step in the analysis of their biological and immunological functions. Historically, BMVs have been quantified by protein assay, which remains the preferred method of BMV quantification. However, recent studies have shown that BMV protein content can vary significantly between bacterial strains, growth conditions, and stages of bacterial growth, suggesting that protein concentration may not correlate directly with BMV quantity. Here, we show that the method used to quantify BMVs can alter experimental outcomes. We compared the enumeration of BMVs using different protein assays and nanoparticle tracking analysis (NTA). We show that different protein assays vary significantly in their quantification of BMVs and that their sensitivity varies when quantifying BMVs produced by different species. Moreover, stimulation of epithelial cells with an equivalent amount of BMV protein quantified using different protein assays resulted in significant differences in interleukin 8 (IL-8) responses. Quantification of Helicobacter pylori, Pseudomonas aeruginosa, and Staphylococcus aureus BMVs by NTA and normalization of BMV cargo to particle number revealed that BMV protein, DNA, and RNA contents were variable between strains and species and throughout bacterial growth. Differences in BMV-mediated activation of Toll-like receptors, NF-κB, and IL-8 responses were observed when stimulations were performed with equivalent BMV particle number but not equivalent protein amount. These findings reveal that the method of BMV quantification can significantly affect experimental outcomes, thereby potentially altering the observed biological functions of BMVs.

Indexed as

Bacterial Outer MembraneBacterial ProteinsCell LineExtracellular VesiclesHEK293 CellsHelicobacter pyloriHost Microbial InteractionsHumansPseudomonas aeruginosaRNA, BacterialStaphylococcus aureusBacterial ProteinsRNA, Bacterialbacterial membrane vesicles (BMVs)DNAmembrane vesicles (MVs)NTAouter membrane vesicles (OMVs)proteinquantificationRNATLRs

Identifiers

PMID34937167
PMCPMC8694105

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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.