使用基于血液的蛋白质生物标记物的中风亚型:一种高通量蛋白质组学和机器学习方法
Shubham Misra1,2, Praveen Singh3, Shantanu Sengupta3
1Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.
European journal of clinical investigation
|December 10, 2024
概括
新的血液生物标志物GFAP,MMP-9和APO-C1准确地区分了缺血性中风 (IS) 和脑内出血 (ICH). 这些蛋白质显著改善了诊断模型,有助于快速识别中风亚型.
科学领域:
- 生物化学 生物化学
- 蛋白质组学是指蛋白质组学.
- 神经学 神经学
背景情况:
- 准确和快速的中风诊断对于及时治疗至关重要.
- 区分缺血性中风 (IS) 和脑内出血 (ICH) 对于适当的管理至关重要.
- 高通量蛋白质组学为发现基于血液的生物标志物提供了一个有希望的途径.
研究的目的:
- 发现和验证血液蛋白质生物标志物,以区分IS与ICH.
- 使用已识别的生物标志物开发中风亚型分类的预测模型.
- 评估新生物标志物的诊断准确性和临床实用性.
主要方法:
- 来自IS,ICH和中风模仿患者的血清样本使用SWATH-MS和向蛋白质组学进行了分析.
- 在发现阶段确定了差异表达的蛋白质,并在更大的队列中得到了验证.
- 开发了多变量后勤回归模型,包括生物标志物和临床变量.
主要成果:
- 在发现阶段,在IS和ICH之间确定了20种不同表达的蛋白质.
- 使用GFAP,MMP-9,APO-C1和临床变量的组合模型在区分IS和ICH方面达到92%的准确性.
- 生物标志物显著提高了预测模型的区分能力26%.
结论:
- GFAP,MMP-9和APO-C1是有效的生物标志物,可以在24小时内区分IS和ICH.
- 这些生物标志物提高了对中风亚型的诊断模型的准确性.
- 建议进一步研究急性中风中这些生物标志物的时间动态.
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