4.5 Article

Modeling hypoxia-related inflammation scenarios

期刊

MATHEMATICAL BIOSCIENCES
卷 355, 期 -, 页码 -

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.mbs.2022.108952

关键词

Hypoxia; Inflammation; Modeling; Stability

资金

  1. Gruppo Nazionale di Fisica Matematica of INdAM, Italy
  2. Italian Ministry of Education, Universities and Research through the MIUR, Italy grant Dipartimenti di Eccellenza 2018-2022 [E11G18000350001]
  3. Scientific Research Programme of Relevant National Interest [2017KL4EF3]

向作者/读者索取更多资源

Cells respond to hypoxia by activating three isoforms of HIFs, which have different activation times. HIF overexpression has various effects on cell behavior, including metabolism changes, promotion of angiogenesis, and induction of pro-inflammatory response. This study focuses on the dynamics of HIF1a and HIF2a under hypoxic conditions and investigates the link between hypoxia and inflammation using a mathematical model.
Cells respond to hypoxia via the activation of three isoforms of Hypoxia Inducible Factors (HIFs), that are characterized by different activation times. HIF overexpression has many effects on cell behavior, such as change in metabolism, promotion of angiogenic processes and elicitation of a pro-inflammatory response. These effects are driving forces of malignant progression in cancer cells. In this work we study in detail hypoxia-induced dynamics of HIF1a and HIF2a, which are the most studied isoforms, comparing available experimental data on their evolution in tumor cells with the results obtained integrating the deduced mathematical model. Then, we examine the possible scenarios that characterize the link between hypoxia and inflammation via the activation of NFkB (Nuclear Factor k-light-chain-enhancer of activated B cells) when the dimensionless groups of parameters of the mathematical model change. In this way we are able to discuss why and when hypoxic conditions lead to acute or chronic inflammatory states.

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