在严重与不严重喘的支气管支气管洗中发现的蛋白质-蛋白质交互网络
Annette T Hastie1, Andrew C Bishop1, Mohammad S Khan1
1Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
严重的喘涉及空气道洗液中明显的炎症蛋白质配置,纤维细胞生长因子2 (FGF2) 和血小板衍生生长因子α-α二分体 (PDGFaa) 被确定为关键生物标志物. 这些发现突出了严重喘患者呼吸道改造和白细胞招募的差异.
科学领域:
- 肺部病理学 肺部病理学
- 蛋白质组学是指蛋白质组学.
- 生物标志物发现发现
背景情况:
- 之前关于喘蛋白质组分析的研究在受试者数量和蛋白质标方面是有限的.
- 在严重喘中识别分子表型需要全面的炎症生物标志物分析.
研究的目的:
- 进行大量喘队列的定量蛋白质组分析.
- 使用炎症生物标志物识别分辨严重和非严重喘的分子表型.
主要方法:
- 分析了来自48名严重喘患者和77名不严重喘患者的支气管洗液 (BALF) 中的75种炎症蛋白质.
- 经过验证的BALF发现,使用对自身的蛋白质组分析.
- 采用统计测试,主要组件分析和五种机器学习算法进行数据分析.
主要成果:
- 严重喘患者表现出较低的肺功能和更高的医疗保健利用率.
- 在严重喘中发现显著增加的BALF蛋白 (例如FGF2,IL1Ra) 和减少的蛋白 (例如PDGFaa,VEGF).
- FGF2,PDGFaa和CXCL7是机器学习算法识别的关键区分变量.
结论:
- 改变的呼吸道改造和细胞因子/化学因子活性是严重喘的特征.
- 这些过程涉及白细胞招募到呼吸道,即使在稳定的喘.
- 蛋白质组分析揭示了不同的炎症特征,区分了喘的严重程度.
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