针对心血管疾病的向代谢学:高通量HPLC-MS/MS试验的验证
Sabina N Baskhanova1, Natalia E Moskaleva2, Ksenia M Shestakova2
1Centre of Biopharmaceutical analysis and Metabolomics, Sechenov First Moscow State Medical University (Sechenov University), 117418 Moscow, Russia..
概括
这项研究开发了一种新的HPLC-MS/MS方法,用于测量血中的98种代谢物用于心血管疾病 (CVD) 诊断. 经过验证的方法确定了与心血管疾病患者的炎症和线粒体功能相关的代谢变化.
科学领域:
- 生物化学 生物化学
- 临床化学 临床化学
- 分析化学 分析化学
背景情况:
- 心血管疾病 (CVD) 是全球主要的健康问题,推动了对先进诊断工具的需求.
- 早期发现和治疗心血管疾病对于改善患者的治疗结果至关重要.
- 代谢分析提供了识别新型心血管疾病生物标志物的潜力.
研究的目的:
- 优化和验证一种高通量HPLC-MS/MS方法,用于量化98种血代谢物.
- 应用验证的方法来分析心血管疾病患者和健康对照的代谢资料.
- 为了确定与心血管疾病相关的代谢变化,以发现潜在的生物标志物.
主要方法:
- 开发和验证一种高通量HPLC-MS/MS方法,用于同时量化98种人体血代谢物.
- 利用化学衍生物来提高极性代谢物的灵敏度和保留.
- 根据EMA指南验证了该方法,评估了线性,准确性,精度,矩阵效应,恢复和稳定性.
主要成果:
- 成功量化了98种代谢物,包括氨基酸,托代谢物,核化物,维生素和甲.
- 与健康对照组相比,在患有心血管疾病的患者中发现了显著的代谢变化.
- 检测到与炎症,氧化代谢和线粒体功能相关的代谢途径的变化.
结论:
- 优化的HPLC-MS/MS方法为有针对性的代谢分析提供了强大而全面的方法.
- 这些发现突出了心血管疾病的潜在代谢生物标志物.
- 这种方法可以作为一种快速查工具,用于识别选择性心血管疾病生物标志物.
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