Evidence map›Paper›PMID 32304686›Full record

ArticleJournal of theoretical biology2020

A mathematical model shows macrophages delay Staphylococcus aureus replication, but limitations in microbicidal capacity restrict bacterial clearance.

Alex Best, Jamil Jubrail, Mike Boots, David Dockrell, Helen Marriott

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2020. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. iScience · 2022
    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

5 authors.

Alex BestSchool of Mathematics & Statistics, University of Sheffield, Sheffield, S3 7RH, UK. Electronic address: a.best@shef.ac.uk.
Jamil JubrailMedical School, Dept of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, S10 2RX, UK; Centre for Inflammation Research, Queen's Medical Research Institute, Edinburgh BioQuarter, Edinburgh, EH16 4TJ, UK; Department of Infection Medicine and MRC Centre for Inflammation Research, University of Edinburgh.
Mike BootsIntegrative Biology, University of California Berkeley, Berkeley, CA 94720-3140, USA; Biosciences, College of Life & Environmental Sciences, University of Exeter Cornwall Campus, Penryn, TR10 9EZ, UK.
David DockrellDepartment of Infection Medicine and MRC Centre for Inflammation Research, University of Edinburgh.
Helen MarriottMedical School, Dept of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, S10 2RX, UK.

Funding

Medical Research Council G0902354Medical Research Council MR/N02995X/1
6 · The paper itself

Abstract

S. aureus is a leading cause of bacterial infection. Macrophages, the first line of defence in the human immune response, phagocytose and kill S. aureus but the pathogen can evade these responses. Therefore, the exact role of macrophages is incompletely defined. We develop a mathematical model of macrophage - S. aureus dynamics, built on recent experimental data. We demonstrate that, while macrophages may not clear infection, they significantly delay its growth and potentially buy time for recruitment of further cells. We find that macrophage killing is a major obstacle to controlling infection and ingestion capacity also limits the response. We find bistability such that the infection can be limited at low doses. Our combination of experimental data, mathematical analysis and model fitting provide important insights in to the early stages of S. aureus infections, showing macrophages play an important role limiting bacterial replication but can be overwhelmed with large inocula.

Indexed as

Staphylococcal InfectionsStaphylococcus aureusHumansMacrophagesModels, TheoreticalPhagocytosisInfectionMacrophagePhagocytosisS. aureus

Identifiers

PMID32304686
PMCPMC7262596

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.