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Updated: Sep 15, 2025

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

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用UHPLC-HRMS进行结核病诊断的血生物标志物的代谢学和脂质学

Gaofeng Sun¹, Quan Wang², Xinjie Shan³

¹Graduate of School, Xinjiang Medical University, Urumqi, China.

Frontiers in cellular and infection microbiology

|July 15, 2025

概括

研究人员在结核病 (TB) 患者中确定了关键的代谢差异,发现了潜在的生物标志物,如 ангиотензин IV,以改善结核病诊断和了解疾病机制.

科学领域:

代谢学代谢学代谢学
传染病研究传染病研究
生物标志物发现发现

背景情况:

了解宿主-病原体相互作用对于诊断传染病至关重要.
结核病患者的代谢变化需要进一步调查.
循环代谢物在结核病原发生中的作用尚未完全理解.

研究的目的:

为了确定结核病患者的差异性代谢物.
探索这些代谢物作为生物标记物的诊断潜力.
阐明结核病背后的机制.

主要方法:

从72名结核病患者和78名健康对照 (训练组) 和30名结核病患者和30名HC (验证组) 的血样本使用高分辨率质谱分析.
机器学习算法 (LASSO,随机森林,XGBoost) 和主要成分分析被用来选差异代谢物.
核心差异性代谢物的诊断准确性是使用接收器运行特征分析来评估的.

主要成果:

在结核病患者和健康对照人群之间观察到显著的代谢特征差异.
在训练组中发现了282种不同的代谢物,其中214种得到了验证.
脂质新陈代谢途径显著丰富; ангиотензин IV 证明了结核病的高诊断准确性.

结论:

新发现的血代谢物显示出有希望的可用于结核病诊断的宝贵生物标志物.
这些生物标志物可能有助于理解结核病的发病因子.
进一步的研究可以利用这些发现来改进诊断工具.

关键词:

结核病是一种疾病.在UHPLC-HRMS中使用.生物标志物生物标志物诊断诊断诊断诊断诊断诊断机器学习是机器学习.代谢物的代谢物.

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