人体代谢网络的图形理论分析:一个系统的和特定器官的研究
Jingxuan Ruan1, Yaping Wu2, Haiyan Wang1,3
1Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Medical physics
|December 16, 2024
概括
对PET成像的图形理论分析显示,肺癌改变了代谢网络. 关键器官转换角色,显示局部活动和系统之间的补偿效应,提供新的疾病洞察力.
科学领域:
- 医疗成像医学成像
- 系统生物学 系统生物学
- 图形理论 图形理论
背景情况:
- 阳位子发射断层扫描 (PET) 图像可视化了新陈代谢活动.
- 目前对PET数据的分析通常集中在单个器官上,可能缺少系统代谢变化.
- 了解器官新陈代谢的网络特性对于疾病检测至关重要.
研究的目的:
- 开发和应用基于图形的分析来量化使用PET成像的代谢网络拓.
- 检测与肺癌相关的全身和单个器官代谢异常.
- 研究代谢网络的全球和节点拓性质.
主要方法:
- 从肺癌患者和对照组的全身18F-FDG PET SUV图像中构建了两种器官葡萄糖代谢相关联网络.
- 计算的全球网络措施 (例如,小世界,富人俱乐部,模块化组织) 和节点集中性.
- 分析了基于系统水平和空间位置的器官连接,以确定受癌症影响的途径.
主要成果:
- 肺癌患者表现出功能分离的增加和在代谢网络中的功能整合的减少.
- 观察到节点作用的显著转变:胰腺,肝脏,心脏和右失去了中心地位,而左上腺,左和左肺获得了中心地位.
- 神经和泌尿系统之间的连接,以及上部和中部器官之间的连接,受到肺癌的显著影响.
结论:
- 图形理论为分析PET成像数据提供了一个强大的框架,以揭示疾病中复杂的代谢网络变化.
- 肺癌诱导显著的拓变化,将新陈代谢转向局部活动,并突出补偿器官相互作用.
- 在特定的器官系统连接中发现的变化为肺癌的系统性影响和潜在的治疗策略提供了洞察力.
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