Evidence map›Paper›PMID 38938371›Full record

ArticleJournal of extracellular biology2023

High resolution imaging and analysis of extracellular vesicles using mass spectral imaging and machine learning.

Sarah Elizabeth Bamford, Natasha Vassileff, Jereme G Spiers, Wil Gardner, David A Winkler, Benjamin W Muir, Andrew F Hill, Paul J Pigram

Abstract read
In one paragraph

Article in Journal of extracellular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Application of a Hopfield neural network to extract essential spectral patterns from ToF-SIMS spectra of peptides.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Tumor-derived extracellular vesicles: Bridging communication and next-generation theranostics.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2025
    Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. 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

8 authors.

Sarah Elizabeth BamfordCentre for Materials and Surface Science and Department of Mathematical and Physical Sciences La Trobe University Bundoora Victoria Australia.
Natasha VassileffThe Department of Biochemistry and Chemistry La Trobe Institute for Molecular Science La Trobe University Bundoora Victoria Australia.
Jereme G SpiersThe Department of Biochemistry and Chemistry La Trobe Institute for Molecular Science La Trobe University Bundoora Victoria Australia.ORCID https://orcid.org/0000-0001-5872-8983
Wil GardnerCentre for Materials and Surface Science and Department of Mathematical and Physical Sciences La Trobe University Bundoora Victoria Australia.
David A WinklerThe Department of Biochemistry and Chemistry La Trobe Institute for Molecular Science La Trobe University Bundoora Victoria Australia.
Benjamin W MuirCSIRO Manufacturing Clayton Victoria Australia.
Andrew F HillThe Department of Biochemistry and Chemistry La Trobe Institute for Molecular Science La Trobe University Bundoora Victoria Australia.ORCID https://orcid.org/0000-0001-5581-2354
Paul J PigramCentre for Materials and Surface Science and Department of Mathematical and Physical Sciences La Trobe University Bundoora Victoria Australia.ORCID https://orcid.org/0000-0002-7972-492X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are potentially useful biomarkers for disease detection and monitoring. Development of a label-free technique for imaging and distinguishing small volumes of EVs from different cell types and cell states would be of great value. Here, we have designed a method to explore the chemical changes in EVs associated with neuroinflammation using Time-of-Flight Secondary Ion Mass spectrometry (ToF-SIMS) and machine learning (ML). Mass spectral imaging was able to identify and differentiate EVs released by microglia following lipopolysaccharide (LPS) stimulation compared to a control group. This process requires a much smaller sample size (1 µL) than other molecular analysis methods (up to 50 µL). Conspicuously, we saw a reduction in free cysteine thiols (a marker of cellular oxidative stress associated with neuroinflammation) in EVs from microglial cells treated with LPS, consistent with the reduced cellular free thiol levels measured experimentally. This validates the synergistic combination of ToF-SIMS and ML as a sensitive and valuable technique for collecting and analysing molecular data from EVs at high resolution.

Indexed as

extracellular vesiclesimagingmachine learningmicroglianeuroinflammationsurface analysisToF‐SIMS

Identifiers

PMID38938371
PMCPMC11080915

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.