A Mathematical Model of Aseptic Inflammation
Dynamics

Voropaeva, O. F.; Bayadilov, T. V.

doi:10.1134/s1990478920040158

Cited by 2 publications

(1 citation statement)

References 27 publications

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“…Numerous inflammation models and models of the various aspects of the immune system and its responses have been proposed, although very few in the contexts of CF or even of the lung and airways. The more generic models have targeted aspects from interactions among immune cells and cytokine storms (Brady et al, 2018;Dunster et al, 2014;Kareva, Berezovskaya et al 2022;Reis et al, 2021, Yang, Xie, et al, 2021a, 2021b to aseptic inflammation (Voropaeva & Bayadilov, 2020) and sepsis (Foteinou et al, 2009;Shi et al, 2015;Zhao et al, 2019), to general analyses of host-pathogen interactions and epidemiology, as reviewed in Gutierrez et al (2015).…”

Section: Models Of Immune Responses To Microbial Infectionsmentioning

confidence: 99%

Mathematical models of cystic fibrosis as a systemic disease

Olivença

Davis

Kumbale

et al. 2023

WIREs Mechanisms of Disease

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Cystic fibrosis (CF) is widely known as a disease of the lung, even though it is in truth a systemic disease, whose symptoms typically manifest in gastrointestinal dysfunction first. CF ultimately impairs not only the pancreas and intestine but also the lungs, gonads, liver, kidneys, bones, and the cardiovascular system. It is caused by one of several mutations in the gene of the epithelial ion channel protein CFTR. Intense research and improved antimicrobial treatments during the past eight decades have steadily increased the predicted life expectancy of a person with CF (pwCF) from a few weeks to over 50 years. Moreover, several drugs ameliorating the sequelae of the disease have become available in recent years, and notable treatments of the root cause of the disease have recently generated substantial improvements in health for some but not all pwCF. Yet, numerous fundamental questions remain unanswered. Complicating CF, for instance in the lung, is the fact that the associated insufficient chloride secretion typically perturbs the electrochemical balance across epithelia and, in the airways, leads to the accumulation of thick, viscous mucus and mucus plaques that cannot be cleared effectively and provide a rich breeding ground for a spectrum of bacterial and fungal communities. The subsequent infections often become chronic and respond poorly to antibiotic treatments, with outcomes sometimes only weakly correlated with the drug susceptibility of the target pathogen. Furthermore, in contrast to rapidly resolved acute infections with a single target pathogen, chronic infections commonly involve multi‐species bacterial communities, called “infection microbiomes,” that develop their own ecological and evolutionary dynamics. It is presently impossible to devise mathematical models of CF in its entirety, but it is feasible to design models for many of the distinct drivers of the disease. Building upon these growing yet isolated modeling efforts, we discuss in the following the feasibility of a multi‐scale modeling framework, known as template‐and‐anchor modeling, that allows the gradual integration of refined sub‐models with different granularity. The article first reviews the most important biomedical aspects of CF and subsequently describes mathematical modeling approaches that already exist or have the potential to deepen our understanding of the multitude aspects of the disease and their interrelationships. The conceptual ideas behind the approaches proposed here do not only pertain to CF but are translatable to other systemic diseases.This article is categorized under: Congenital Diseases > Computational Models

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Section: Models Of Immune Responses To Microbial Infectionsmentioning

confidence: 99%

Mathematical models of cystic fibrosis as a systemic disease

Olivença

Davis

Kumbale

et al. 2023

WIREs Mechanisms of Disease

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The Trigger Model of the Dynamics of Acute and Chronic Aseptic Inflammation

Mikhakhanova¹,

Voropaeva²

2022

Math.Biol.Bioinf.

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The work is devoted to the study of the qualitative properties of solutions of the mathematical model of the dynamics of aseptic inflammation and the issues of their practical application. Data are presented that indicate the potential use of the model to describe a wide range of biological processes and diseases in which aseptic inflammation is a pathogenic factor. The multistability of the dynamic system in the vicinity of biologically significant solutions and the corresponding range of parameter values is found. It is shown that, depending on the initial conditions, the model describes not only the conditional norm state (in the absence of a wound) and the classical acute inflammatory reaction to damage, but also its transition to a chronic form. The trigger mechanism of switching states of the system is investigated. The possibilities of the model as an effective tool for studying and early predicting the nature of the immune response, as well as for analyzing hypothetical therapeutic strategies that prevent the progression of acute inflammation into chronic inflammation are shown.

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A Mathematical Model of Aseptic Inflammation Dynamics

Cited by 2 publications

References 27 publications

Mathematical models of cystic fibrosis as a systemic disease

Mathematical models of cystic fibrosis as a systemic disease

The Trigger Model of the Dynamics of Acute and Chronic Aseptic Inflammation

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