关于阿尔茨海默病及其治疗的数学模型:一篇综述
Mitali Maji1, Subhas Khajanchi1
1Department of Mathematics, Presidency University, 86/1 College Street, Kolkata 700073, India.
Physics of life reviews
|January 15, 2025
概括
数学模型有助于理解阿尔茨海默病 (AD) 的病理生理学. 本综述根据AD的组成部分对模型进行了分类,并讨论了这种神经退行性疾病的生物因素和治疗目标.
科学领域:
- 神经退行性疾病的神经退行性疾病
- 计算生物学是一种计算生物学.
- 生物医学建模模型
背景情况:
- 阿尔茨海默病 (AD) 是一种进展性神经退行性疾病,在全球范围内影响着5500多万人.
- 目前的治疗方法缺乏有效性,疾病的起源仍然不清楚.
- 预测显示,如果没有有效的干预措施,到2050年病例将增加三倍.
研究的目的:
- 审查用于理解阿尔茨海默病病理生理学的数学模型.
- 根据贡献因素和生物学方面对模型进行分类.
- 探索疾病管理的潜在治疗点.
主要方法:
- 基于阿尔茨海默病组件的数学模型的分类.
- 解释模型描述,结论和形式主义.
- 将生物见解纳入疾病进展和治疗策略.
主要成果:
- 对阐明阿尔茨海默病机制的数学模型进行全面的审查.
- 识别关键的生物学因素,包括蛋白质,质细胞,细胞因子,基因,信号和氧化应激.
- 旨在阻止或减缓疾病进展的潜在治疗目标的摘要.
结论:
- 数学建模为了解阿尔茨海默病提供了一个框架.
- 生物因素对疾病进展至关重要,并为干预提供了目标.
- 为了开发有效的治疗方法,进一步研究整合建模和生物数据至关重要.
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