通过蛋白质冠状病毒分析对心脏瘤生物标志物的AI驱动预测
Avirup Guha1,2, Seyed Amirhossein Sadeghi3, Harikrishnan Hyma Kunhiraman1,2
1Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States.
Chemical engineering journal (Lausanne, Switzerland : 1996)
|April 7, 2025
概括
这项研究确定了CCT7和TBXAS1作为前列腺癌和动脉样硬化的潜在双重生物标志物. 将蛋白质冠状病毒分析与高级分析集成,揭示了改善心脏瘤诊断的因果关系.
科学领域:
- 生物分子相互作用
- 蛋白质组学是指蛋白质组学.
- 心脏瘤学 - 心脏瘤学
背景情况:
- 纳米粒子上的蛋白质冠状形成有助于血蛋白质组学和生物标志物发现.
- 前列腺癌 (PC) 和动脉样硬化心血管疾病 (ASCVD) 经常同时发生,影响转移性PC (mPC) 进展.
研究的目的:
- 通过将蛋白质冠状状体概况与基于质谱 (MS) 的自下而上的蛋白质组学 (BUP),机器学习和因果分析相结合,识别心脏瘤学的潜在生物标志物.
- 探索前列腺癌和动脉样硬化心血管疾病同时存在的双重生物标志物.
主要方法:
- 从四个患者群体的35个血样本中生成蛋白质冠状状元谱.
- 利用基于MS的BUP来识别887种独特的蛋白质.
- 应用机器学习 (LASSO) 和因果分析,以确定关键生物标志物.
主要成果:
- 确定了260种常见的蛋白质,揭示了与ASCVD和mPC相关的途径.
- 隔离了22种与ASCVD或mPC相关的蛋白质,包括CCT7.
- TBXAS1被确定为这两种疾病的主要致病因子,在血栓形成和血管功能障碍方面具有潜在的作用.
结论:
- 建议CCT7和TBXAS1作为早期检测和针对性治疗心脏瘤学的潜在双重生物标志物.
- 综合纳米医学和分析方法为发现因果生物标志物关系提供了一个框架.
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