通过质谱法获得呼吸气体中的金属,NO和代谢物的综合信息
Botong Liu1, Ling Mao2, Yayi He2
1State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry, Jilin University, Changchun 130000, P. R. China.
Analytical chemistry
|February 21, 2026
概括
这项研究提出了一种新的质谱法,用于分析出口气中的金属,氧化 (NO) 和代谢物. 这种综合方法显著提高了肺癌 (LC) 诊断准确度.
科学领域:
- 分析化学 分析化学
- 生物化学 生物化学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 人的呼气含有丰富的代谢信息,但传统的分析是分散的,专注于挥发性代谢物,忽视无机成分.
- 呼气成分的综合分析可以提供更全面的代谢过程和疾病状态的观点.
研究的目的:
- 开发和验证一个基于质谱的平台,用于同时对金属,氧化 (NO) 和单个呼气样本中的代谢物进行定量分析.
- 调查综合呼吸分析对提高肺癌 (LC) 诊断准确性的有用性.
主要方法:
- 建立了一个质谱平台,分析33种呼出的代谢物,14种金属物种,并从呼出的呼吸样本中追踪NO.
- 从51名健康志愿者和90名肺癌患者收集了样本.
- 进行了综合数据分析,以确定疾病特异性的化学联系和相关性.
主要成果:
- 在健康志愿者和LC患者之间观察到元素组成的显著差异,包括LC患者中Na,Ca,Al的增加和Mn,Cr,Mo的减少.
- 这些元素变化与NO和特定代谢物的波动相关,例如谷氨基氨基氨酸.
- 对金属离子,NO和代谢物的综合分析实现了LC的高诊断准确性,AUC>0.99.
结论:
- 呼出的呼吸中的金属失调会影响NO介导的氧化还原平衡,并改变脂质和氨基酸代谢.
- 开发的一口气,三维策略提供了一个全面的新陈代谢特征从呼出的呼吸.
- 这种新的平台为生命科学研究,临床诊断和治疗评估,特别是肺癌提供了先进的应用.
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