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Title: A multi-scale approach to designing therapeutics for tuberculosis

Abstract

Approximately one third of the world’s population is infected with Mycobacterium tuberculosis. Limited information about how the immune system fights M. tuberculosis and what constitutes protection from the bacteria impact our ability to develop effective therapies for tuberculosis. We present an in vivo systems biology approach that integrates data from multiple model systems and over multiple length and time scales into a comprehensive multi-scale and multi-compartment view of the in vivo immune response to M. tuberculosis. Lastly, we describe computational models that can be used to study (a) immunomodulation with the cytokines tumor necrosis factor and interleukin 10, (b) oral and inhaled antibiotics, and (c) the effect of vaccination.

Authors:
 [1];  [1];  [2];  [1];  [3]
  1. Univ. of Michigan, Ann Arbor, MI (United States)
  2. Univ. of Michigan, Ann Arbor, MI (United States); Univ. of Michigan Medical School, Ann Arbor, MI (United States)
  3. Univ. of Michigan Medical School, Ann Arbor, MI (United States)
Publication Date:
Research Org.:
Univ. of California, Oakland, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1346971
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Integrative Biology
Additional Journal Information:
Journal Volume: 7; Journal Issue: 5; Journal ID: ISSN 1757-9694
Publisher:
Royal Society of Chemistry
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Linderman, Jennifer J., Cilfone, Nicholas A., Pienaar, Elsje, Gong, Chang, and Kirschner, Denise E. A multi-scale approach to designing therapeutics for tuberculosis. United States: N. p., 2015. Web. doi:10.1039/c4ib00295d.
Linderman, Jennifer J., Cilfone, Nicholas A., Pienaar, Elsje, Gong, Chang, & Kirschner, Denise E. A multi-scale approach to designing therapeutics for tuberculosis. United States. https://doi.org/10.1039/c4ib00295d
Linderman, Jennifer J., Cilfone, Nicholas A., Pienaar, Elsje, Gong, Chang, and Kirschner, Denise E. Mon . "A multi-scale approach to designing therapeutics for tuberculosis". United States. https://doi.org/10.1039/c4ib00295d. https://www.osti.gov/servlets/purl/1346971.
@article{osti_1346971,
title = {A multi-scale approach to designing therapeutics for tuberculosis},
author = {Linderman, Jennifer J. and Cilfone, Nicholas A. and Pienaar, Elsje and Gong, Chang and Kirschner, Denise E.},
abstractNote = {Approximately one third of the world’s population is infected with Mycobacterium tuberculosis. Limited information about how the immune system fights M. tuberculosis and what constitutes protection from the bacteria impact our ability to develop effective therapies for tuberculosis. We present an in vivo systems biology approach that integrates data from multiple model systems and over multiple length and time scales into a comprehensive multi-scale and multi-compartment view of the in vivo immune response to M. tuberculosis. Lastly, we describe computational models that can be used to study (a) immunomodulation with the cytokines tumor necrosis factor and interleukin 10, (b) oral and inhaled antibiotics, and (c) the effect of vaccination.},
doi = {10.1039/c4ib00295d},
journal = {Integrative Biology},
number = 5,
volume = 7,
place = {United States},
year = {Mon Apr 20 00:00:00 EDT 2015},
month = {Mon Apr 20 00:00:00 EDT 2015}
}

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Differences in reactivation of tuberculosis induced from anti-TNF treatments are based on bioavailability in granulomatous tissue
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Tuberculous Granulomas Are Hypoxic in Guinea Pigs, Rabbits, and Nonhuman Primates
text, January 2008

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  • The University of North Carolina at Chapel Hill University Libraries
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Mathematical Models for Immunology: Current State of the Art and Future Research Directions
journal, October 2016

  • Eftimie, Raluca; Gillard, Joseph J.; Cantrell, Doreen A.
  • Bulletin of Mathematical Biology, Vol. 78, Issue 10
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The Spectrum of Mechanism-Oriented Models and Methods for Explanations of Biological Phenomena
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A complete categorization of multiscale models of infectious disease systems
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Applying Optimization Algorithms to Tuberculosis Antibiotic Treatment Regimens
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  • Cellular and Molecular Bioengineering, Vol. 10, Issue 6
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In Vitro Granuloma Models of Tuberculosis: Potential and Challenges
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Modeling Granulomas in Response to Infection in the Lung
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Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation
journal, April 2016

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  • Cellular and Molecular Bioengineering, Vol. 9, Issue 3
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Facing the challenges of multiscale modelling of bacterial and fungal pathogen–host interactions
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Modeling Granulomas in Response to Infection in the Lung
journal, March 2016


Strategic Priming with Multiple Antigens can Yield Memory Cell Phenotypes Optimized for Infection with Mycobacterium tuberculosis: A Computational Study
journal, January 2016


Local Inflammation, Dissemination and Coalescence of Lesions Are Key for the Progression toward Active Tuberculosis: The Bubble Model
journal, February 2016


The Spectrum of Mechanism-oriented Models for Explanations of Biological Phenomena
preprint, January 2018