Evidence map›Paper›PMID 21443879›Full record

ArticleJournal of theoretical biology2011

A hybrid multi-compartment model of granuloma formation and T cell priming in tuberculosis.

Simeone Marino, Mohammed El-Kebir, Denise Kirschner

Open access · bronzeAbstract read
In one paragraph

Article in Journal of theoretical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
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  4. Within-Host Mathematical Models of Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024
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  18. Agent-based models of inflammation in translational systems biology: A decade later.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  19. 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

3 authors at 2 institutions in 2 countries.

Simeone MarinoUniversity of Michigan Medical School, Department of Microbiology and Immunology, 1150 West Medical Ctr Dr, 6730 MSB2, Ann Arbor, MI 48109, USA. simeonem@umich.edu
Mohammed El-Kebir
Denise Kirschner
University of Michigan–Ann Arbor · USCentrum Wiskunde & Informatica · NL

Funding

Modeling Immunity for BiodefenseN01AI50018 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEINMETZ, KAREN · 2008 to 2011
$3.5M
A multi-scale and multi-system approach to understand granuloma formation in TBR33HL092853 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KIRSCHNER, DENISE E · 2008 to 2010
$684k
A multi-scale and multi-system approach to understand granuloma formation in TBR33HL092844 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDERMAN, JENNIFER JEAN · 2008 to 2010
$656k
NHLBI NIH HHS R33 HL092844NHLBI NIH HHS R33HL092844NHLBI NIH HHS R33 HL092853NHLBI NIH HHS R33HL092853NIAID NIH HHS N01 AI050018NIAID NIH HHS N01AI50018
6 · The paper itself

Abstract

Tuberculosis is a worldwide health problem with 2 billion people infected with Mycobacterium tuberculosis (Mtb, the bacteria causing TB). The hallmark of infection is the emergence of organized structures of immune cells forming primarily in the lung in response to infection. Granulomas physically contain and immunologically restrain bacteria that cannot be cleared. We have developed several models that spatially characterize the dynamics of the host-mycobacterial interaction, and identified mechanisms that control granuloma formation and development. In particular, we published several agent-based models (ABMs) of granuloma formation in TB that include many subtypes of T cell populations, macrophages as well as key cytokine and chemokine effector molecules. These ABM studies emphasize the important role of T-cell related mechanisms in infection progression, such as magnitude and timing of T cell recruitment, and macrophage activation. In these models, the priming and recruitment of T cells from the lung draining lymph node (LN) was captured phenomenologically. In addition to these ABM studies, we have also developed several multi-organ models using ODEs to examine trafficking of cells between, for example, the lung and LN. While we can predict temporal dynamic behaviors, those models are not coupled to the spatial aspects of granuloma. To this end, we have developed a multi-organ model that is hybrid: an ABM for the lung compartment and a non-linear system of ODE representing the lymph node compartment. This hybrid multi-organ approach to study TB granuloma formation in the lung and immune priming in the LN allows us to dissect protective mechanisms that cannot be achieved using the single compartment or multi-compartment ODE system. The main finding of this work is that trafficking of important cells known as antigen presenting cells from the lung to the lymph node is a key control mechanism for protective immunity: the entire spectrum of infection outcomes can be regulated by key immune cell migration rates. Our hybrid multi-organ implementation suggests that effector CD4+ T cells can rescue the system from a persistent infection and lead to clearance once a granuloma is fully formed. This could be effective as an immunotherapy strategy for latently infected individuals.

Indexed as

Models, ImmunologicalAnimalsCD4-Positive T-LymphocytesCell MovementCytokinesGranuloma, Respiratory TractHost-Pathogen InteractionsHumansLungMacrophage ActivationMacrophagesMycobacterium tuberculosisTuberculosis, PulmonaryCytokines

Identifiers

PMID21443879
PMCPMC3740747
OpenAlexW2103406125

What OpenQuestion holds

Textmetadata
LicenceTDM
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.