Dynamical Simulation of Effective Stem Cell Transplantation for Modulation of Microglia Responses in Stroke Treatment
Stem cell transplantation therapy may inhibit inflammation during stroke and increase the presence of healthy cells in the brain. The novelty of this work, is to introduce a new mathematical model of stem cells transplanted to treat stroke. This manuscript studies the stability of the mathematical m...
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doaj-ebb13eeacccf4e1b9365ac0b9dc589aa2021-03-03T00:02:36ZengMDPI AGSymmetry2073-89942021-03-011340440410.3390/sym13030404Dynamical Simulation of Effective Stem Cell Transplantation for Modulation of Microglia Responses in Stroke TreatmentAwatif Jahman Alqarni0Azmin Sham Rambely1Ishak Hashim2Department of Mathematics, College of Sciences and Arts in Blqarn, University of Bisha, P.O. Box 551, Bisha 61922, Saudi ArabiaDepartment of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor 43600, MalaysiaDepartment of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor 43600, MalaysiaStem cell transplantation therapy may inhibit inflammation during stroke and increase the presence of healthy cells in the brain. The novelty of this work, is to introduce a new mathematical model of stem cells transplanted to treat stroke. This manuscript studies the stability of the mathematical model by using the current biological information on stem cell therapy as a possible treatment for inflammation from microglia during stroke. The model is proposed to represent the dynamics of various immune brain cells (resting microglia, pro-inflammation microglia, and anti-inflammation microglia), brain tissue damage and stem cells transplanted. This model is based on a set of five ordinary differential equations and explores the beneficial effects of stem cells transplanted at early stages of inflammation during stroke. The Runge–Kutta method is used to discuss the model analytically and solve it numerically. The results of our simulations are qualitatively consistent with those observed in experiments in vivo, suggesting that the transplanted stem cells could contribute to the increase in the rate of ant-inflammatory microglia and decrease the damage from pro-inflammatory microglia. It is found from the analysis and simulation results that stem cell transplantation can help stroke patients by modulation of the immune response during a stroke and decrease the damage on the brain. In conclusion, this approach may increase the contributions of stem cells transplanted during inflammation therapy in stroke and help to study various therapeutic strategies for stem cells to reduce stroke damage at the early stages.https://www.mdpi.com/2073-8994/13/3/404cell transplantationcytokinesischemic strokenumerical simulationrunge-kutta methodstability analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Awatif Jahman Alqarni Azmin Sham Rambely Ishak Hashim |
spellingShingle |
Awatif Jahman Alqarni Azmin Sham Rambely Ishak Hashim Dynamical Simulation of Effective Stem Cell Transplantation for Modulation of Microglia Responses in Stroke Treatment Symmetry cell transplantation cytokines ischemic stroke numerical simulation runge-kutta method stability analysis |
author_facet |
Awatif Jahman Alqarni Azmin Sham Rambely Ishak Hashim |
author_sort |
Awatif Jahman Alqarni |
title |
Dynamical Simulation of Effective Stem Cell Transplantation for Modulation of Microglia Responses in Stroke Treatment |
title_short |
Dynamical Simulation of Effective Stem Cell Transplantation for Modulation of Microglia Responses in Stroke Treatment |
title_full |
Dynamical Simulation of Effective Stem Cell Transplantation for Modulation of Microglia Responses in Stroke Treatment |
title_fullStr |
Dynamical Simulation of Effective Stem Cell Transplantation for Modulation of Microglia Responses in Stroke Treatment |
title_full_unstemmed |
Dynamical Simulation of Effective Stem Cell Transplantation for Modulation of Microglia Responses in Stroke Treatment |
title_sort |
dynamical simulation of effective stem cell transplantation for modulation of microglia responses in stroke treatment |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2021-03-01 |
description |
Stem cell transplantation therapy may inhibit inflammation during stroke and increase the presence of healthy cells in the brain. The novelty of this work, is to introduce a new mathematical model of stem cells transplanted to treat stroke. This manuscript studies the stability of the mathematical model by using the current biological information on stem cell therapy as a possible treatment for inflammation from microglia during stroke. The model is proposed to represent the dynamics of various immune brain cells (resting microglia, pro-inflammation microglia, and anti-inflammation microglia), brain tissue damage and stem cells transplanted. This model is based on a set of five ordinary differential equations and explores the beneficial effects of stem cells transplanted at early stages of inflammation during stroke. The Runge–Kutta method is used to discuss the model analytically and solve it numerically. The results of our simulations are qualitatively consistent with those observed in experiments in vivo, suggesting that the transplanted stem cells could contribute to the increase in the rate of ant-inflammatory microglia and decrease the damage from pro-inflammatory microglia. It is found from the analysis and simulation results that stem cell transplantation can help stroke patients by modulation of the immune response during a stroke and decrease the damage on the brain. In conclusion, this approach may increase the contributions of stem cells transplanted during inflammation therapy in stroke and help to study various therapeutic strategies for stem cells to reduce stroke damage at the early stages. |
topic |
cell transplantation cytokines ischemic stroke numerical simulation runge-kutta method stability analysis |
url |
https://www.mdpi.com/2073-8994/13/3/404 |
work_keys_str_mv |
AT awatifjahmanalqarni dynamicalsimulationofeffectivestemcelltransplantationformodulationofmicrogliaresponsesinstroketreatment AT azminshamrambely dynamicalsimulationofeffectivestemcelltransplantationformodulationofmicrogliaresponsesinstroketreatment AT ishakhashim dynamicalsimulationofeffectivestemcelltransplantationformodulationofmicrogliaresponsesinstroketreatment |
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