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Mathematical modeling and application of IL-1β/TNF signaling pathway in regulating chondrocyte apoptosis

Introduction: Mathematical model can be used to model complex biological processes, and have shown potential in describing apoptosis in chondrocytes. Method: In order to investigate the regulatory mechanisms of TNF signaling pathway in regulating chondrocyte apoptosis, a fractional-order differentia...

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Autores principales: Wang, Yishu, Liu, Jingxiang, Huang, Boyan, Long, Xiaojun, Su, Xiuyun, Sun, Deshun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652750/
https://www.ncbi.nlm.nih.gov/pubmed/38020878
http://dx.doi.org/10.3389/fcell.2023.1288431
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author Wang, Yishu
Liu, Jingxiang
Huang, Boyan
Long, Xiaojun
Su, Xiuyun
Sun, Deshun
author_facet Wang, Yishu
Liu, Jingxiang
Huang, Boyan
Long, Xiaojun
Su, Xiuyun
Sun, Deshun
author_sort Wang, Yishu
collection PubMed
description Introduction: Mathematical model can be used to model complex biological processes, and have shown potential in describing apoptosis in chondrocytes. Method: In order to investigate the regulatory mechanisms of TNF signaling pathway in regulating chondrocyte apoptosis, a fractional-order differential equation model is proposed to describe the dynamic behavior and mutual interaction of apoptosis-related genes under the activation of TNF signaling pathway. Compared with the traditional molecular biology techniques, the proposed mathematical modeling has advantages to providing a more comprehensive understanding of the regulatory mechanisms of TNF signaling pathway in chondrocyte apoptosis. Result: In this paper, differentially expressed genes induced by IL-1β in human chondrocyte apoptosis are screened using high-throughput sequencing. It is found that they were significantly enriched in the TNF signaling pathway. Therefore, a mathematical model of the TNF signaling pathway is built. Using real-time PCR experiments, mRNA data is measured and used to identify the model parameters, as well as the correlation coefficient. Finally, the sensitivity of the model parameters is discussed by using numerical simulation methods, which can be used to predict the effects of different interventions and explore the optimal intervention strategies for regulating chondrocyte apoptosis. Discussion: Therefore, fractional-order differential equation modeling plays an important role in understanding the regulatory mechanisms of TNF signaling pathway in chondrocyte apoptosis and its potential clinical applications.
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spelling pubmed-106527502023-01-01 Mathematical modeling and application of IL-1β/TNF signaling pathway in regulating chondrocyte apoptosis Wang, Yishu Liu, Jingxiang Huang, Boyan Long, Xiaojun Su, Xiuyun Sun, Deshun Front Cell Dev Biol Cell and Developmental Biology Introduction: Mathematical model can be used to model complex biological processes, and have shown potential in describing apoptosis in chondrocytes. Method: In order to investigate the regulatory mechanisms of TNF signaling pathway in regulating chondrocyte apoptosis, a fractional-order differential equation model is proposed to describe the dynamic behavior and mutual interaction of apoptosis-related genes under the activation of TNF signaling pathway. Compared with the traditional molecular biology techniques, the proposed mathematical modeling has advantages to providing a more comprehensive understanding of the regulatory mechanisms of TNF signaling pathway in chondrocyte apoptosis. Result: In this paper, differentially expressed genes induced by IL-1β in human chondrocyte apoptosis are screened using high-throughput sequencing. It is found that they were significantly enriched in the TNF signaling pathway. Therefore, a mathematical model of the TNF signaling pathway is built. Using real-time PCR experiments, mRNA data is measured and used to identify the model parameters, as well as the correlation coefficient. Finally, the sensitivity of the model parameters is discussed by using numerical simulation methods, which can be used to predict the effects of different interventions and explore the optimal intervention strategies for regulating chondrocyte apoptosis. Discussion: Therefore, fractional-order differential equation modeling plays an important role in understanding the regulatory mechanisms of TNF signaling pathway in chondrocyte apoptosis and its potential clinical applications. Frontiers Media S.A. 2023-11-02 /pmc/articles/PMC10652750/ /pubmed/38020878 http://dx.doi.org/10.3389/fcell.2023.1288431 Text en Copyright © 2023 Wang, Liu, Huang, Long, Su and Sun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Wang, Yishu
Liu, Jingxiang
Huang, Boyan
Long, Xiaojun
Su, Xiuyun
Sun, Deshun
Mathematical modeling and application of IL-1β/TNF signaling pathway in regulating chondrocyte apoptosis
title Mathematical modeling and application of IL-1β/TNF signaling pathway in regulating chondrocyte apoptosis
title_full Mathematical modeling and application of IL-1β/TNF signaling pathway in regulating chondrocyte apoptosis
title_fullStr Mathematical modeling and application of IL-1β/TNF signaling pathway in regulating chondrocyte apoptosis
title_full_unstemmed Mathematical modeling and application of IL-1β/TNF signaling pathway in regulating chondrocyte apoptosis
title_short Mathematical modeling and application of IL-1β/TNF signaling pathway in regulating chondrocyte apoptosis
title_sort mathematical modeling and application of il-1β/tnf signaling pathway in regulating chondrocyte apoptosis
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652750/
https://www.ncbi.nlm.nih.gov/pubmed/38020878
http://dx.doi.org/10.3389/fcell.2023.1288431
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