人类乳头瘤病毒的随机动态描述了宫癌的进展情况
Tuan Anh Phan1, Farhana Sarower2, Jinqiao Duan3
1Institute for Modeling Collaboration and Innovation, University of Idaho, Moscow, ID, 83844, USA.
Journal of mathematical biology
|November 11, 2023
概括
慢性人类乳头瘤病毒感染对于宫癌的进展是必要的. 小的进展率和环境噪音可以建立慢性感染,而大噪音可以减少它,但在癌前细胞生长中,足够的噪音可以导致癌症.
科学领域:
- 数学生物学 数学生物学
- 病毒学 病毒学
- 在瘤学瘤学.
背景情况:
- 人类乳头瘤病毒 (HPV) 感染是导致子宫癌的主要原因.
- 了解HPV感染和癌症进展的动态对于预防和治疗至关重要.
- 确定性模型在捕捉生物过程固有的随机性方面存在局限性.
研究的目的:
- 开发和分析HPV感染和宫癌进展的随机模型.
- 确定慢性HPV感染导致子宫癌的条件.
- 调查环境噪音在HPV感染动态和癌症发展中的作用.
主要方法:
- 基于确定性框架的随机数学模型的开发.
- 分析模型以确定使用ergodic不变概率措施的慢性感染条件.
- 数字模拟和与确定性模型的比较,包括Hopf分叉分析.
主要成果:
- 慢性HPV感染,其特点是以ergodic不变的概率测量,对于宫癌的进展至关重要.
- 从感染到癌前细胞的进展率很低,微环境噪声低,有利于慢性感染.
- 病毒感染和进展中的高环境噪音可以减少慢性感染,但癌前细胞生长中的大量噪音会促进子宫癌.
结论:
- 随机性在HPV感染和宫癌的发展中起着至关重要的作用.
- 环境噪音可以产生双重影响:减少慢性感染,但在特定条件下可能导致癌症进展.
- 这些发现强调了考虑生物系统中的随机波动对于理解疾病动态的重要性.
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