Evidence map›Paper›PMID 37161932›Full record

ArticleDisease models & mechanisms2023

An automated microscopy workflow to study Shigella-neutrophil interactions and antibiotic efficacy in vivo.

Arthur Lensen, Margarida C Gomes, Ana Teresa López-Jiménez, Serge Mostowy

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Arthur LensenDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.ORCID 0000-0002-8197-4039
Margarida C GomesDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.ORCID 0000-0002-7889-5735
Ana Teresa López-JiménezDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.ORCID 0000-0002-0289-738X
Serge MostowyDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.ORCID 0000-0002-7286-6503
London School of Hygiene & Tropical Medicine · GBUniversité Paris-Panthéon-Assas · FR

Funding

Wellcome Trust 206444/Z/17/Z
6 · The paper itself

Abstract

Shigella are Gram-negative bacterial pathogens responsible for bacillary dysentery (also called shigellosis). The absence of a licensed vaccine and widespread emergence of antibiotic resistance has led the World Health Organisation (WHO) to highlight Shigella as a priority pathogen requiring urgent attention. Several infection models have been useful to explore the Shigella infection process; yet, we still lack information regarding events taking place in vivo. Here, using a Shigella-zebrafish infection model and high-content microscopy, we developed an automated microscopy workflow to non-invasively study fluorescently labelled bacteria and neutrophils in vivo. We applied our workflow to antibiotic-treated zebrafish, and demonstrate that antibiotics reduce bacterial burden and not neutrophil recruitment to the hindbrain ventricle. We discovered that nalidixic acid (a bactericidal antibiotic) can work with leukocytes in an additive manner to control Shigella flexneri infection and can also restrict dissemination of Shigella sonnei from the hindbrain ventricle. We envision that our automated microscopy workflow, applied here to study the interactions between Shigella and neutrophils as well as antibiotic efficacy in zebrafish, can be useful to innovate treatments for infection control in humans.

Indexed as

Dysentery, BacillaryShigellaAnimalsAnti-Bacterial AgentsHumansMicroscopyWorkflowZebrafishAnti-Bacterial AgentsAntibioticsHigh-content microscopyNeutrophilsShigellaZebrafish

Identifiers

PMID37161932
PMCPMC10184671
OpenAlexW4367052484

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.