量化系统分子网络在高海拔去适应过程中受到影响.
Subhojit Paul1, Shikha Jain1, Anamika Gangwar1
1Peptide & Proteomics Division, Defence Institute of Physiology & Allied Sciences (DIPAS), Defence R&D Organization (DRDO), Timarpur, New Delhi, 110054, India.
Scientific reports
|September 7, 2023
概括
从高海拔返回会导致脱适应综合征 (HADAS) 带有头痛等症状. 这项研究使用蛋白质信息学来揭示HADAS对脂质代谢,炎症和凝血的影响,提供治疗见解.
科学领域:
- 人类生理学 人类生理学
- 网络生物学 网络生物学
- 蛋白质组学是指蛋白质组学.
背景情况:
- 高海拔适应和疾病得到了充分的研究.
- 高度去适应或去诱导及其相关症状的理解较少.
- 最近的研究发现"高海拔脱适应综合症" (HADAS) 有着多种不同的临床表现.
研究的目的:
- 在高度去适应过程中研究人类等离子体蛋白质组的计算奥米克和网络生物学.
- 从高空降落后分析血蛋白质组和通路的变化.
- 为治疗策略提供框架,以缓解HADAS症状.
主要方法:
- 人体血蛋白质组的定量蛋白质信息学和网络生物学分析.
- 使用STRING和IPA分析蛋白质网络和上游监管器.
- 研究的血蛋白质组变化从到达高度后的第7天到下降后的第180天.
主要成果:
- 脱诱导显著影响脂质代谢,炎症和天生的免疫系统.
- 凝血系统的通路也受到高度脱适应的影响.
- 确定了特定的蛋白质网络和参与HADAS的上游监管机构.
结论:
- 高度脱适应对关键生理系统有深远的影响.
- 对HADAS的治疗策略应该针对脂质代谢,炎症信号和凝血.
- 这项研究为管理脱适应提供了一个新的概念框架.
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