Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA 94304, USA.
Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA 94304, USA.
Clin Perinatol. 2024 Jun;51(2):391-409. doi: 10.1016/j.clp.2024.02.011. Epub 2024 Mar 23.
The complexity of preterm birth (PTB), both spontaneous and medically indicated, and its various etiologies and associated risk factors pose a significant challenge for developing tools to accurately predict risk. This review focuses on the discovery of proteomics signatures that might be useful for predicting spontaneous PTB or preeclampsia, which often results in PTB. We describe methods for proteomics analyses, proteomics biomarker candidates that have so far been identified, obstacles for discovering biomarkers that are sufficiently accurate for clinical use, and the derivation of composite signatures including clinical parameters to increase predictive power.
早产（PTB）的复杂性，无论是自发性的还是医学上需要的，以及其各种病因和相关风险因素，给开发准确预测风险的工具带来了重大挑战。这篇综述重点介绍了蛋白质组学特征的发现，这些特征可能对预测自发性早产或子痫前期（常导致早产）有用。我们描述了蛋白质组学分析的方法、迄今为止已确定的蛋白质组学生物标志物候选物、发现足够准确用于临床用途的生物标志物的障碍，以及包括临床参数在内的组合特征的推导，以提高预测能力。
