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Feedback regulation in a stem cell model with acute myeloid leukaemia
BACKGROUND: The haematopoietic lineages with leukaemia lineages are considered in this paper. In particular, we mainly consider that haematopoietic lineages are tightly controlled by negative feedback inhibition of end-product. Actually, leukemia has been found 100 years ago. Up to now, the exact me...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998901/ https://www.ncbi.nlm.nih.gov/pubmed/29745850 http://dx.doi.org/10.1186/s12918-018-0561-2 |
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author | Jiao, Jianfeng Luo, Min Wang, Ruiqi |
author_facet | Jiao, Jianfeng Luo, Min Wang, Ruiqi |
author_sort | Jiao, Jianfeng |
collection | PubMed |
description | BACKGROUND: The haematopoietic lineages with leukaemia lineages are considered in this paper. In particular, we mainly consider that haematopoietic lineages are tightly controlled by negative feedback inhibition of end-product. Actually, leukemia has been found 100 years ago. Up to now, the exact mechanism is still unknown, and many factors are thought to be associated with the pathogenesis of leukemia. Nevertheless, it is very necessary to continue the profound study of the pathogenesis of leukemia. Here, we propose a new mathematical model which include some negative feedback inhibition from the terminally differentiated cells of haematopoietic lineages to the haematopoietic stem cells and haematopoietic progenitor cells in order to describe the regulatory mechanisms mentioned above by a set of ordinary differential equations. Afterwards, we carried out detailed dynamical bifurcation analysis of the model, and obtained some meaningful results. RESULTS: In this work, we mainly perform the analysis of the mathematic model by bifurcation theory and numerical simulations. We have not only incorporated some new negative feedback mechanisms to the existing model, but also constructed our own model by using the modeling method of stem cell theory with probability method. Through a series of qualitative analysis and numerical simulations, we obtain that the weak negative feedback for differentiation probability is conducive to the cure of leukemia. However, with the strengthening of negative feedback, leukemia will be more difficult to be cured, and even induce death. In contrast, strong negative feedback for differentiation rate of progenitor cells can promote healthy haematopoiesis and suppress leukaemia. CONCLUSIONS: These results demonstrate that healthy progenitor cells are bestowed a competitive advantage over leukaemia stem cells. Weak g(1), g(2), and h(1) enable the system stays in the healthy state. However, strong h(2) can promote healthy haematopoiesis and suppress leukaemia. |
format | Online Article Text |
id | pubmed-5998901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59989012018-06-25 Feedback regulation in a stem cell model with acute myeloid leukaemia Jiao, Jianfeng Luo, Min Wang, Ruiqi BMC Syst Biol Research BACKGROUND: The haematopoietic lineages with leukaemia lineages are considered in this paper. In particular, we mainly consider that haematopoietic lineages are tightly controlled by negative feedback inhibition of end-product. Actually, leukemia has been found 100 years ago. Up to now, the exact mechanism is still unknown, and many factors are thought to be associated with the pathogenesis of leukemia. Nevertheless, it is very necessary to continue the profound study of the pathogenesis of leukemia. Here, we propose a new mathematical model which include some negative feedback inhibition from the terminally differentiated cells of haematopoietic lineages to the haematopoietic stem cells and haematopoietic progenitor cells in order to describe the regulatory mechanisms mentioned above by a set of ordinary differential equations. Afterwards, we carried out detailed dynamical bifurcation analysis of the model, and obtained some meaningful results. RESULTS: In this work, we mainly perform the analysis of the mathematic model by bifurcation theory and numerical simulations. We have not only incorporated some new negative feedback mechanisms to the existing model, but also constructed our own model by using the modeling method of stem cell theory with probability method. Through a series of qualitative analysis and numerical simulations, we obtain that the weak negative feedback for differentiation probability is conducive to the cure of leukemia. However, with the strengthening of negative feedback, leukemia will be more difficult to be cured, and even induce death. In contrast, strong negative feedback for differentiation rate of progenitor cells can promote healthy haematopoiesis and suppress leukaemia. CONCLUSIONS: These results demonstrate that healthy progenitor cells are bestowed a competitive advantage over leukaemia stem cells. Weak g(1), g(2), and h(1) enable the system stays in the healthy state. However, strong h(2) can promote healthy haematopoiesis and suppress leukaemia. BioMed Central 2018-04-24 /pmc/articles/PMC5998901/ /pubmed/29745850 http://dx.doi.org/10.1186/s12918-018-0561-2 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Jiao, Jianfeng Luo, Min Wang, Ruiqi Feedback regulation in a stem cell model with acute myeloid leukaemia |
title | Feedback regulation in a stem cell model with acute myeloid leukaemia |
title_full | Feedback regulation in a stem cell model with acute myeloid leukaemia |
title_fullStr | Feedback regulation in a stem cell model with acute myeloid leukaemia |
title_full_unstemmed | Feedback regulation in a stem cell model with acute myeloid leukaemia |
title_short | Feedback regulation in a stem cell model with acute myeloid leukaemia |
title_sort | feedback regulation in a stem cell model with acute myeloid leukaemia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998901/ https://www.ncbi.nlm.nih.gov/pubmed/29745850 http://dx.doi.org/10.1186/s12918-018-0561-2 |
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