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利用免疫组预测自发性早产

Predicting Spontaneous Preterm Birth Using the Immunome.

机构信息

Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA 94305, USA.

Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA 94304, USA.

出版信息

Clin Perinatol. 2024 Jun;51(2):441-459. doi: 10.1016/j.clp.2024.02.013. Epub 2024 Apr 4.

Abstract

Throughout pregnancy, the maternal peripheral circulation contains valuable information reflecting pregnancy progression, detectable as tightly regulated immune dynamics. Local immune processes at the maternal-fetal interface and other reproductive and non-reproductive tissues are likely to be the pacemakers for this peripheral immune "clock." This cellular immune status of pregnancy can be leveraged for the early risk assessment and prediction of spontaneous preterm birth (sPTB). Systems immunology approaches to sPTB subtypes and cross-tissue (local and peripheral) interactions, as well as integration of multiple biological data modalities promise to improve our understanding of preterm birth pathobiology and identify potential clinically actionable biomarkers.

摘要

在整个怀孕期间,母体外周循环中含有反映妊娠进展的有价值信息,这些信息可作为受到严密调控的免疫动态来检测。母体-胎儿界面以及其他生殖和非生殖组织中的局部免疫过程可能是这种外周免疫“时钟”的起搏器。可以利用妊娠的这种细胞免疫状态进行早产(sPTB)的早期风险评估和预测。sPTB 亚型和跨组织(局部和外周)相互作用的系统免疫学方法,以及多种生物数据模式的整合,有望提高我们对早产病理生物学的认识,并确定潜在的临床可操作的生物标志物。

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