Literature DB >> 20361838

Modelling the human immune response mechanisms to mycobacterium tuberculosis infection in the lungs.

Gesham Magombedze1, Winston Garira, Eddie Mwenje.   

Abstract

This work elaborates on the effects of cytotoxic lymphocytes (CTLs) and other immune mechanisms in determining whether a TB-infected individual will develop active or latent TB. It answers one intriguing question: why do individuals infected with Mycobacterium tuberculosis (Mtb) experience different clinical outcomes? In addressing this question, we have developed a model that captures the effects of CTLs and the combined effects of CD4+ helper T cells (Th1 and Th2) immune response mechanisms to TB infection. The occurrence of active or latent infection is shown to depend on a number of factors that include effector function and levels of CTLs. We use the model to predict disease progression scenarios, including primary, latency or clearance. Model analysis shows that occurrence of active disease is much attributed to the Mtb pathogen ability to persist outside the intracellular environment and that high levels of CTLs result in latent TB, while low levels of CTLs result in active TB. This is attributed to the CTLs' ability to directly kill infected macrophages and the bacteria inside the infected macrophages. The study suggests directions for further basic studies and potential new treatment strategies.

Entities:  

Year:  2006        PMID: 20361838     DOI: 10.3934/mbe.2006.3.661

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  11 in total

1.  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

2.  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

Review 3.  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

Review 4.  How can mathematical models advance tuberculosis control in high HIV prevalence settings?

Authors:  R M G J Houben; D W Dowdy; A Vassall; T Cohen; M P Nicol; R M Granich; J E Shea; P Eckhoff; C Dye; M E Kimerling; R G White
Journal:  Int J Tuberc Lung Dis       Date:  2014-05       Impact factor: 2.373

Review 5.  Latent Tuberculosis: Models, Computational Efforts and the Pathogen's Regulatory Mechanisms during Dormancy.

Authors:  Gesham Magombedze; David Dowdy; Nicola Mulder
Journal:  Front Bioeng Biotechnol       Date:  2013-08-27

6.  Tuberculosis in Canada: Detection, Intervention and Compliance.

Authors:  Katya Richardson; Beate Sander; Hongbin Guo; Amy Greer; Jane Heffernan
Journal:  AIMS Public Health       Date:  2014-11-25

7.  A Multiscale Model for the World's First Parasitic Disease Targeted for Eradication: Guinea Worm Disease.

Authors:  Rendani Netshikweta; Winston Garira
Journal:  Comput Math Methods Med       Date:  2017-07-20       Impact factor: 2.238

8.  Modelling HIV and MTB co-infection including combined treatment strategies.

Authors:  Santosh Ramkissoon; Henry G Mwambi; Alan P Matthews
Journal:  PLoS One       Date:  2012-11-28       Impact factor: 3.240

9.  Machine learning reveals that Mycobacterium tuberculosis genotypes and anatomic disease site impacts drug resistance and disease transmission among patients with proven extra-pulmonary tuberculosis.

Authors:  Doctor B Sibandze; Beki T Magazi; Lesibana A Malinga; Nontuthuko E Maningi; Bong-Akee Shey; Jotam G Pasipanodya; Nontombi N Mbelle
Journal:  BMC Infect Dis       Date:  2020-07-31       Impact factor: 3.090

10.  Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle.

Authors:  Michael J Pitcher; Ruth Bowness; Simon Dobson; Raluca Eftimie; Stephen H Gillespie
Journal:  J Theor Biol       Date:  2020-08-06       Impact factor: 2.405

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.