Literature DB >> 21443879

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

Simeone Marino1, Mohammed El-Kebir, Denise Kirschner.   

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.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21443879      PMCID: PMC3740747          DOI: 10.1016/j.jtbi.2011.03.022

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  69 in total

Review 1.  Immunology of tuberculosis.

Authors:  J L Flynn; J Chan
Journal:  Annu Rev Immunol       Date:  2001       Impact factor: 28.527

Review 2.  Dendritic-cell trafficking to lymph nodes through lymphatic vessels.

Authors:  Gwendalyn J Randolph; Veronique Angeli; Melody A Swartz
Journal:  Nat Rev Immunol       Date:  2005-08       Impact factor: 53.106

3.  A comparison of random vs. chemotaxis-driven contacts of T cells with dendritic cells during repertoire scanning.

Authors:  Thomas Riggs; Adrienne Walts; Nicolas Perry; Laura Bickle; Jennifer N Lynch; Amy Myers; Joanne Flynn; Jennifer J Linderman; Mark J Miller; Denise E Kirschner
Journal:  J Theor Biol       Date:  2007-10-18       Impact factor: 2.691

4.  How antigen quantity and quality determine T-cell decisions in lymphoid tissue.

Authors:  Huan Zheng; Bo Jin; Sarah E Henrickson; Alan S Perelson; Ulrich H von Andrian; Arup K Chakraborty
Journal:  Mol Cell Biol       Date:  2008-04-21       Impact factor: 4.272

Review 5.  A multifaceted approach to modeling the immune response in tuberculosis.

Authors:  Simeone Marino; Jennifer J Linderman; Denise E Kirschner
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-12-31

6.  Identification of key processes that control tumor necrosis factor availability in a tuberculosis granuloma.

Authors:  Mohammad Fallahi-Sichani; Matthew A Schaller; Denise E Kirschner; Steven L Kunkel; Jennifer J Linderman
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

7.  Enhanced responses to Mycobacterium tuberculosis antigens by human alveolar lymphocytes during active pulmonary tuberculosis.

Authors:  S K Schwander; M Torres; E Sada; C Carranza; E Ramos; M Tary-Lehmann; R S Wallis; J Sierra; E A Rich
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8.  Increased release of interleukin-1 beta, interleukin-6, and tumor necrosis factor-alpha by bronchoalveolar cells lavaged from involved sites in pulmonary tuberculosis.

Authors:  K Law; M Weiden; T Harkin; K Tchou-Wong; C Chi; W N Rom
Journal:  Am J Respir Crit Care Med       Date:  1996-02       Impact factor: 21.405

9.  The human immune response to Mycobacterium tuberculosis in lung and lymph node.

Authors:  Simeone Marino; Denise E Kirschner
Journal:  J Theor Biol       Date:  2004-04-21       Impact factor: 2.691

10.  Regulation of dendritic cell migration to the draining lymph node: impact on T lymphocyte traffic and priming.

Authors:  Alfonso MartIn-Fontecha; Silvia Sebastiani; Uta E Höpken; Mariagrazia Uguccioni; Martin Lipp; Antonio Lanzavecchia; Federica Sallusto
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  44 in total

1.  Macrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infection.

Authors:  Simeone Marino; Nicholas A Cilfone; Joshua T Mattila; Jennifer J Linderman; JoAnne L Flynn; Denise E Kirschner
Journal:  Infect Immun       Date:  2014-11-03       Impact factor: 3.441

2.  A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.

Authors:  Denise Kirschner; Elsje Pienaar; Simeone Marino; Jennifer J Linderman
Journal:  Curr Opin Syst Biol       Date:  2017-05-22

3.  A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes.

Authors:  Chang Gong; Jennifer J Linderman; Denise Kirschner
Journal:  Math Biosci Eng       Date:  2015-06       Impact factor: 2.080

4.  Modeling and simulation for medical product development and evaluation: highlights from the FDA-C-Path-ISOP 2013 workshop.

Authors:  Klaus Romero; Vikram Sinha; Sandra Allerheiligen; Meindert Danhof; Jose Pinheiro; Naomi Kruhlak; Yaning Wang; Sue-Jane Wang; John-Michael Sauer; J F Marier; Brian Corrigan; James Rogers; H J Lambers Heerspink; Tawanda Gumbo; Peter Vis; Paul Watkins; Tina Morrison; William Gillespie; Mark Forrest Gordon; Diane Stephenson; Debra Hanna; Marc Pfister; Richard Lalonde; Thomas Colatsky
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-10-07       Impact factor: 2.745

5.  Using an Agent-Based Model to Examine the Role of Dynamic Bacterial Virulence Potential in the Pathogenesis of Surgical Site Infection.

Authors:  Vissagan Gopalakrishnan; Moses Kim; Gary An
Journal:  Adv Wound Care (New Rochelle)       Date:  2013-11       Impact factor: 4.730

6.  High-resolution computational modeling of immune responses in the gut.

Authors:  Meghna Verma; Josep Bassaganya-Riera; Andrew Leber; Nuria Tubau-Juni; Stefan Hoops; Vida Abedi; Xi Chen; Raquel Hontecillas
Journal:  Gigascience       Date:  2019-06-01       Impact factor: 6.524

7.  A multi-scale approach to designing therapeutics for tuberculosis.

Authors:  Jennifer J Linderman; Nicholas A Cilfone; Elsje Pienaar; Chang Gong; Denise E Kirschner
Journal:  Integr Biol (Camb)       Date:  2015-04-30       Impact factor: 2.192

8.  Computational modeling of tuberculous meningitis reveals an important role for tumor necrosis factor-α.

Authors:  M El-Kebir; M van der Kuip; A M van Furth; D E Kirschner
Journal:  J Theor Biol       Date:  2013-03-26       Impact factor: 2.691

Review 9.  Dynamic balance of pro- and anti-inflammatory signals controls disease and limits pathology.

Authors:  Joseph M Cicchese; Stephanie Evans; Caitlin Hult; Louis R Joslyn; Timothy Wessler; Jess A Millar; Simeone Marino; Nicholas A Cilfone; Joshua T Mattila; Jennifer J Linderman; Denise E Kirschner
Journal:  Immunol Rev       Date:  2018-09       Impact factor: 12.988

10.  Strategies for efficient numerical implementation of hybrid multi-scale agent-based models to describe biological systems.

Authors:  Nicholas A Cilfone; Denise E Kirschner; Jennifer J Linderman
Journal:  Cell Mol Bioeng       Date:  2015-03       Impact factor: 2.321

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