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用GC-MS进行综合血液代谢分析的分析工作流程. 适用于患有呼吸机相关肺炎的儿童

M Ioannidis¹, T Mouskeftara², E Iosifidis³

¹Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.

Journal of chromatography. A

|April 30, 2025

概括

这项研究优化了气色谱-质谱法 (GC-MS) 的代谢学方法,发现衍生样本比干燥提取物更稳定,用于分析呼吸机相关性肺炎 (VAP) 生物标志物.

科学领域:

分析化学分析化学
生物化学生物化学
临床化学临床化学

背景情况:

代谢学利用气色谱-质谱法 (GC-MS) 来分析生物样本中的低分子量化合物.
在GC-MS和光谱图书馆的进步提高了其在个性化医学中的实用性.
样本和衍生品稳定性至关重要,但在代谢学工作流程中经常被忽视.

研究的目的:

为大规模研究开发和验证一个强大的,无目标的GC-MS代谢学工作流.
评估在各种储存条件下全血样本及其衍生物的稳定性.
在儿科重症监护室 (ICU) 患者中识别呼吸机相关肺炎 (VAP) 的潜在生物标志物.

主要方法:

针对全血样,优化了一种两步衍生程序 (methoximation,其次是MSTFA的化).
广泛的稳定性实验评估了在室温下24小时和在-20°C下24/48小时的衍生品.
该方法使用120种标准化合物进行了验证,并应用于32名儿科VAP患者的血液样本.

主要成果:

衍生样本在-20°C下24-48小时表现出稳定性,而干燥提取物在48小时后表现出变化.
优化的GC-MS方法在儿科VAP患者样本中发现了43种代谢物.
亚斯巴提克酸,氨酸和高胺酸被确定为与VAP相关的统计学上显著的代谢物.

结论:

建议将衍生样本储存在干燥的提取物上,以提高代谢学研究中的稳定性.
开发的GC-MS方法为大规模代谢学提供了可靠的方法.
已识别的代谢物,如酸,氨酸和甲酸,显示出作为VAP的诊断生物标志物的潜力.

关键词:

血液血液血液血液衍生公司的衍生化.在GC-MS中使用GC-MS.代谢学代谢学代谢学稳定的稳定性稳定的稳定性与呼吸机相关的肺炎.

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