转录基因内型化和基于蛋白质的生物标志物的互补作用,用于毒症相关的急性损伤风险分层
Bengi S Tavris1, Christian Morath1, Christoph Rupp2
1Department of Nephrology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
Critical care (London, England)
|March 27, 2025
概括
将转录基因内型化与蛋白质生物标志物的结合改善了与败血症相关的急性损伤 (SA-AKI) 的风险分层. 这种方法可以更好地预测严重病患者的结局,例如置换疗法或死亡.
科学领域:
- 关键护理医学 关键护理医学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 基因组学就是基因组学.
- 生物标志物发现发现
背景情况:
- 败血症相关的急性损伤 (SA-AKI) 由于其生物异质性,提出了重大挑战.
- 目前的诊断和治疗策略受到这种复杂性的限制.
- 转录基因内型化和生物标志物分析为分子亚型化和风险分层化提供了潜力.
研究的目的:
- 评估转录基因内型化和基于蛋白质的生物标志物的联合实用性,以提高SA-AKI中的风险分层.
- 在SA-AKI患者中识别不同的分子亚型.
- 改善SA-AKI重症患者不良结果的预测.
主要方法:
- 涉及167名符合败血症-3标准的重症患者的PredARRT-Sep试验的二次分析.
- 使用基因表达分类器分层成三个转录体内型 (炎症性,适应性,凝血性).
- 测量了8种与功能,血管完整性和免疫反应相关的蛋白质生物标志物.
- 通过ROC分析和后勤回归来评估置换疗法或死亡的预测性表现.
主要成果:
- 患者被分为炎症病态 (33%),适应性 (42%) 和凝血病态 (24%) 的内型,炎症病态组显示的严重程度和终点风险最高 (30%).
- 像NGAL和suPAR这样的非功能性生物标志物在炎症病态内型中升高,而生物ADM在凝血病态内型中是一个强有力的预测因素.
- 将转录基因内型化与生物标志物,特别是suPAR结合起来,显著提高了初级终点和7天死亡率的预测准确性 (AUC高达0.85).
结论:
- 综合转录基因内型化和蛋白质生物标志物分析显著提高SA-AKI的风险分层.
- 这种综合方法对个性化治疗策略和优化临床试验丰富性具有前景.
- 治疗应用的进一步验证和探索是有必要的.
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