A reaction-diffusion model for Mycobacterium tuberculosis infection

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Accarino, C., Accarino, R., Capone, F., De Luca, R., Fiorentino, L., Massa, G.
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916438615261184
author Accarino, C.
Accarino, R.
Capone, F.
De Luca, R.
Fiorentino, L.
Massa, G.
author_facet Accarino, C.
Accarino, R.
Capone, F.
De Luca, R.
Fiorentino, L.
Massa, G.
contents This paper aims to investigate a reaction-diffusion model which describes in-host infection for Mycobacterium tuberculosis (Mtb) allowing random motion (i.e. linear diffusion) and chemotaxis (i.e. non-linear diffusion) of macrophages and bacteria populations. In particular, chemotaxis-driven aggregation of macrophages plays a fundamental role in the development of the Mtb infection and the production of chemokine - located in the infection site - represents an attractant for the uninfected macrophages, therefore we consider chemotaxis between infected macrophages and uninfected macrophages. The linear stability of the endemic equilibria is investigated. In particular, by looking for conditions guaranteeing that an equilibrium, stable in the absence of diffusion, becomes unstable when diffusion is allowed, the formation of Turing patterns - that biologically represent the formation of granuloma initiated by the immune cells - is investigated. The weakly nonlinear analysis is performed to deeply explore the patterns amplitude. Furthermore, via numerical simulations, the formation of Turing patterns is analysed.
format Preprint
id arxiv_https___arxiv_org_abs_2410_10918
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A reaction-diffusion model for Mycobacterium tuberculosis infection
Accarino, C.
Accarino, R.
Capone, F.
De Luca, R.
Fiorentino, L.
Massa, G.
Populations and Evolution
This paper aims to investigate a reaction-diffusion model which describes in-host infection for Mycobacterium tuberculosis (Mtb) allowing random motion (i.e. linear diffusion) and chemotaxis (i.e. non-linear diffusion) of macrophages and bacteria populations. In particular, chemotaxis-driven aggregation of macrophages plays a fundamental role in the development of the Mtb infection and the production of chemokine - located in the infection site - represents an attractant for the uninfected macrophages, therefore we consider chemotaxis between infected macrophages and uninfected macrophages. The linear stability of the endemic equilibria is investigated. In particular, by looking for conditions guaranteeing that an equilibrium, stable in the absence of diffusion, becomes unstable when diffusion is allowed, the formation of Turing patterns - that biologically represent the formation of granuloma initiated by the immune cells - is investigated. The weakly nonlinear analysis is performed to deeply explore the patterns amplitude. Furthermore, via numerical simulations, the formation of Turing patterns is analysed.
title A reaction-diffusion model for Mycobacterium tuberculosis infection
topic Populations and Evolution
url https://arxiv.org/abs/2410.10918