Emergence of cyclic hypoxia and the impact of PARP inhibitors on tumor progression.

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY NPJ Systems Biology and Applications Pub Date : 2024-10-22 DOI:10.1038/s41540-024-00453-2
Martina Conte, Vanesa Cabeza Fernández, F Javier Oliver, Tomás Alarcón, Juan Soler
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Abstract

Tumor hypoxia is a dynamic phenomenon marked by fluctuations in oxygen levels across both rapid (seconds to minutes) and slow (hours to days) time scales. While short hypoxia cycles are relatively well understood, the mechanisms behind longer cycles remain largely unclear. In this paper, we present a novel mechanistic mathematical model that explains slow hypoxia cycles through feedback loops involving vascular expansion and regression, oxygen-regulated tumor growth, and toxic cytokine production. Our study reveals that, for the emergence of slow hypoxia cycles, endothelial cells must adapt by decreasing receptor activation as ligand concentration increases. Additionally, the interaction between tumor cells and toxic cytokines influences frequency and intensity of these cycles. By examining the effects of pharmacological interventions, specifically poly (ADP-ribose) polymerase inhibitors, we also demonstrate how targeting cell proliferation can help regulate oxygen levels. Our findings enhance the understanding of hypoxia regulation and suggest PARP proteins as promising therapeutic targets.

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周期性缺氧的出现和 PARP 抑制剂对肿瘤进展的影响。
肿瘤缺氧是一种动态现象,其特点是氧气水平在快速(几秒到几分钟)和缓慢(几小时到几天)的时间尺度内波动。虽然人们对较短的缺氧周期有了相对深入的了解,但较长周期背后的机制在很大程度上仍不清楚。在本文中,我们提出了一个新的机理数学模型,该模型通过涉及血管扩张和衰退、氧调节肿瘤生长和毒性细胞因子产生的反馈回路来解释缓慢的缺氧周期。我们的研究发现,为了实现缓慢的缺氧循环,内皮细胞必须随着配体浓度的增加而降低受体激活,从而适应这种循环。此外,肿瘤细胞和毒性细胞因子之间的相互作用也会影响这些循环的频率和强度。通过研究药物干预(特别是多(ADP-核糖)聚合酶抑制剂)的效果,我们还证明了以细胞增殖为目标如何有助于调节氧水平。我们的发现加深了人们对缺氧调节的理解,并建议将 PARP 蛋白作为有前景的治疗靶点。
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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