A dynamic simulation of the immune system response to inhibit and eliminate abnormal cells

S. A. Alharbi, Azmin Sham Rambely

Research output: Contribution to journalArticle

Abstract

Diet has long been considered a risk factor related to an increased risk of cancer. This challenges us to understand the relationship between the immune system and diet when abnormal cells appear in a tissue. In this paper, we propose and analyze a model from the point of view of a person who follows a healthy diet, i.e., one correlated to the food pyramid, and a person who follows an unhealthy diet. Normal cells and immune cells are used in the design of the model, which aims to describe how the immune system functions when abnormal cells appear in a tissue. The results show that the immune system is able to inhibit and eliminate abnormal cells through the three following stages: the response stage, the interaction stage, and the recovery stage. Specifically, the failure of the immune system to accomplish the interaction stage occurs when a person follows an unhealthy diet. According to the analysis and simulation of our model, we can deduce that dietary pattern has a significant impact on the functioning of the immune system.

Original languageEnglish
Article number572
JournalSymmetry
Volume11
Issue number4
DOIs
Publication statusPublished - 1 Apr 2019

Fingerprint

immune systems
diets
Immune system
Immune System
Nutrition
Dynamic Simulation
Eliminate
Cell
Computer simulation
cells
Person
simulation
Tissue
Pyramid
Risk Factors
pyramids
Interaction
food
Deduce
Cancer

Keywords

  • Abnormal cells
  • Diet
  • Dynamic model
  • Immune cells
  • Immune system response
  • Nonlinear ordinary differential equations
  • Stability

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Chemistry (miscellaneous)
  • Mathematics(all)
  • Physics and Astronomy (miscellaneous)

Cite this

A dynamic simulation of the immune system response to inhibit and eliminate abnormal cells. / Alharbi, S. A.; Rambely, Azmin Sham.

In: Symmetry, Vol. 11, No. 4, 572, 01.04.2019.

Research output: Contribution to journalArticle

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