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用于诊断和预测肺高血压的脂类药物
Natalie Bordag1,2,3,4, Bence Miklos Nagy2, Elmar Zügner5
1Department of Dermatology and Venereology, Medical University of Graz, Graz, Austria.
medRxiv : the preprint server for health sciences
|June 9, 2023
概括
基于特定的自由脂肪酸 (FFA) 和脂质比率的新生物标志物显示出对诊断和预测肺高血压 (PH) 结果的希望. 这些发现可以显著改善患者管理和治疗策略.
科学领域:
- 生物化学 生物化学
- 基因组学就是基因组学.
- 心血管医学 心血管医学
背景情况:
- 肺高血压 (PH) 是一种严重的疾病,死亡率高,缺乏有效的诊断和预后生物标志物.
- 目前用于PH诊断和预后的方法不足,突出了改善工具的急需.
研究的目的:
- 通过代谢学和机器学习识别肺高血压 (PH) 的新型诊断和预后生物标志物.
- 研究脂质积累和自由脂肪酸 (FFAs) 在异常性肺动脉高血压 (PAH) 病变发生过程中的作用.
主要方法:
- 对233个血液样本进行了全面的代谢分析,与机器学习相结合.
- 在人肺动脉细胞暴露于FFAs的体外研究.
- 在独立患者队列中确定生物标志物的验证.
主要成果:
- 异常PAH肺部的肺动脉表现出脂质积累和改变的脂质平衡基因表达.
- 外在的FFAs诱导了PA光滑肌细胞的增殖和PA内皮细胞屏障功能障碍.
- 当与现有的临床评分相结合时,特定的FFA/脂质比率实现了高诊断准确性 (AUC 0.89-0.90) 和改善了预后能力.
结论:
- 脂质体变化与PH显著相关,提供新的诊断和预后生物标志物.
- 与单独的机器学习模型相比,确定的FFA/脂质比率显示出更高的诊断和预后潜力.
- 这些新的生物标志物可能会彻底改变肺高血压的治疗方法.
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