Mathematical and computational modeling of host-pathogen interaction in the lung lesion development due to Mycobacterium tuberculosis in humans
- Published
- Accepted
- Subject Areas
- Biophysics, Infectious Diseases
- Keywords
- mathematical modelling, tuberculosis, lung caverns
- Copyright
- © 2018 Lavrova et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Mathematical and computational modeling of host-pathogen interaction in the lung lesion development due to Mycobacterium tuberculosis in humans. PeerJ Preprints 6:e27351v1 https://doi.org/10.7287/peerj.preprints.27351v1
Abstract
Tuberculosis (TB) has a long history as a major disease in humans and animals. New resistant strains are jeopardizing the advances in the battle against TB. 40% of HIV deaths occur due to concurrent TB illness. A causative agent of TB, Mycobacterium tuberculosis, causes severe implications for a patient. The tuberculosis process is accompanied usually by the lung tissue destruction and cavitation associated with imbalance in the system of matrix metalloproteinases/inhibitors (MMP/TIMP). At the same time, pathogen can stimulate an inflammatory process leading to an even greater imbalance of MMP/TIMP facilitating the tissue destruction. Such positive feedback also could be conditioned by the initially damaged immune status of the host. We have developed model based on the study of “manipulation” of immune signaling and biochemical metabolic pathways by M. tuberculosis that reveal key factors contributing either to the beginning of reparative changes or the transition of the disease to a chronic form. We have defined, deploying the mathematical model and being based on published clinical observations, ”key parameters” stimulating the restoration of the structure and functions of tissues, as well as analyzed the dynamics of cellular populations for the diagnosis of functional and pathological conditions of the host.
Author Comment
This is an abstract which has been accepted for the BBCC2018 Conference