Mathematical and computational modeling of host-pathogen interaction in the lung lesion development due to Mycobacterium tuberculosis in humans

Abstract

Lung tuberculosis caused by Micobacterium tuberculosis is still one of the leading killers today. Different computational models have been developed to find new clues to understand this mortal disease. Up until now these models lacked up-to-date visualization tools that allow dynamic exploratory data analysis. 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.

Speaker

Anastasia Lavrova
Saint-Petersburg State University, Saint-Petersburg State Research Institute of Phthisiopulmonology
Russia

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