Evidence map›Paper›PMID 32081863›Full record

ArticleScientific reports2020

Analysis tools to quantify dissemination of pathology in zebrafish larvae.

David R Stirling, Oniz Suleyman, Eliza Gil, Philip M Elks, Vincenzo Torraca, Mahdad Noursadeghi, Gillian S Tomlinson

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  10. Journal of oral microbiology · 2023
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  15. Molecules (Basel, Switzerland) · 2021
    Article
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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

7 authors.

David R StirlingInfection and Immunity, University College London, Cruciform Building, Gower Street, London, WC1E 6BT, United Kingdom.
Oniz SuleymanInfection and Immunity, University College London, Cruciform Building, Gower Street, London, WC1E 6BT, United Kingdom.
Eliza GilInfection and Immunity, University College London, Cruciform Building, Gower Street, London, WC1E 6BT, United Kingdom.
Philip M ElksThe Bateson Centre, University of Sheffield, Firth Court, Western Bank, Sheffield, S10 2TN, United Kingdom.
Vincenzo TorracaDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, United Kingdom.ORCID http://orcid.org/0000-0001-7340-0249
Mahdad NoursadeghiInfection and Immunity, University College London, Cruciform Building, Gower Street, London, WC1E 6BT, United Kingdom.ORCID http://orcid.org/0000-0002-4774-0853
Gillian S TomlinsonInfection and Immunity, University College London, Cruciform Building, Gower Street, London, WC1E 6BT, United Kingdom. g.tomlinson@ucl.ac.uk.ORCID http://orcid.org/0000-0003-4342-3161

Funding

Medical Research Council MR/N007727/1Wellcome Trust 207511/Z/17/ZWellcome Trust (Wellcome) 207511/Z/17/Z
6 · The paper itself

Abstract

We describe new open source software called QuantiFish for rapid quantitation of fluorescent foci in zebrafish larvae, to support infection research in this animal model. QuantiFish extends the conventional measurements of bacterial load and number of bacterial foci to include measures for dissemination of infection. These are represented by the proportions of bacteria between foci and their spatial distribution. We showcase these measures by comparison of intravenous and hindbrain routes of Mycobacterium marinum infection, which are indistinguishable by measurement of bacterial load and not consistently differentiated by the number of bacterial foci. The intravenous route showed dose dependent dissemination of infection, reflected by increased spatial dispersion of bacteria and lower proportions of bacteria distributed across many foci. In contrast, hindbrain infection resulted in localised disease, limited to a smaller area and higher proportions of bacteria distributed across fewer foci. The application of QuantiFish may extend beyond models of infection, to study other pathologies such as metastatic cancer.

Indexed as

AnimalsBacterial LoadDisease Models, AnimalHost-Pathogen InteractionsImage Processing, Computer-AssistedLarvaMicroscopy, FluorescenceMycobacterium Infections, NontuberculousMycobacterium marinumPattern Recognition, AutomatedRhombencephalonSoftwareZebrafish

Identifiers

PMID32081863
PMCPMC7035342

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.