Evidence map›Paper›PMID 24363630›Full record

ArticlePLoS computational biology2013

A Petri net model of granulomatous inflammation: implications for IL-10 mediated control of Leishmania donovani infection.

Luca Albergante, Jon Timmis, Lynette Beattie, Paul M Kaye

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2013. 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
3.9field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 36 citations in OpenAlex.

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  7. Neutrophil elastase promotesFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
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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 1 country.

Luca AlberganteDepartment of Computer Science and Department of Electronics, University of York, York, United Kingdom.
Jon TimmisDepartment of Computer Science and Department of Electronics, University of York, York, United Kingdom.
Lynette BeattieCenter for Immunology and Infection, Department of Biology and Hull York Medical School, University of York, York, United Kingdom.
Paul M KayeCenter for Immunology and Infection, Department of Biology and Hull York Medical School, University of York, York, United Kingdom.
Hull York Medical School · GBUniversity of York · GB

Funding

Medical Research Council G1000230Medical Research Council R12824
6 · The paper itself

Abstract

Experimental visceral leishmaniasis, caused by infection of mice with the protozoan parasite Leishmania donovani, is characterized by focal accumulation of inflammatory cells in the liver, forming discrete "granulomas" within which the parasite is eventually eliminated. To shed new light on fundamental aspects of granuloma formation and function, we have developed an in silico Petri net model that simulates hepatic granuloma development throughout the course of infection. The model was extensively validated by comparison with data derived from experimental studies in mice, and the model robustness was assessed by a sensitivity analysis. The model recapitulated the progression of disease as seen during experimental infection and also faithfully predicted many of the changes in cellular composition seen within granulomas over time. By conducting in silico experiments, we have identified a previously unappreciated level of inter-granuloma diversity in terms of the development of anti-leishmanial activity. Furthermore, by simulating the impact of IL-10 gene deficiency in a variety of lymphocyte and myeloid cell populations, our data suggest a dominant local regulatory role for IL-10 produced by infected Kupffer cells at the core of the granuloma.

Indexed as

AnimalsComputer SimulationDisease Models, AnimalGranulomaInflammationInterleukin-10Kupffer CellsLeishmania donovaniLeishmaniasis, VisceralLeukocytesLiverMiceModels, ImmunologicalParasite LoadInterleukin-10

Identifiers

PMID24363630
PMCPMC3867212
OpenAlexW2074608940

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.