University of Hawaii Cancer Center, Epidemiology, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Department of Computational Medicine and Bioinformatics, North Campus Research Complex, University of Michigan, 1600 Huron Parkway, Ann Arbor, MI, 48105, USA.
Placenta. 2020 Mar;92:17-27. doi: 10.1016/j.placenta.2020.01.008. Epub 2020 Jan 22.
Preeclampsia is a medical condition affecting 5-10% of pregnancies. It has serious effects on the health of the pregnant mother and developing fetus. While possible causes of preeclampsia are speculated, there is no consensus on its etiology. The advancement of big data and high-throughput technologies enables to study preeclampsia at the new and systematic level. In this review, we first highlight the recent progress made in the field of preeclampsia research using various omics technology platforms, including epigenetics, genome-wide association studies (GWAS), transcriptomics, proteomics and metabolomics. Next, we integrate the results in individual omic level studies, and show that despite the lack of coherent biomarkers in all omics studies, inhibin is a potential preeclamptic biomarker supported by GWAS, transcriptomics and DNA methylation evidence. Using network analysis on the biomarkers of all the literature reviewed here, we identify four striking sub-networks with clear biological functions supported by previous molecular-biology and clinical observations. In summary, omics integration approach offers the promise to understand molecular mechanisms in preeclampsia.
子痫前期是一种影响 5-10%妊娠的医学病症。它对孕妇和发育中的胎儿的健康有严重影响。虽然子痫前期的可能病因被推测，但病因仍无定论。大数据和高通量技术的进步使得可以在新的和系统的水平上研究子痫前期。在这篇综述中，我们首先强调了使用各种组学技术平台（包括表观遗传学、全基因组关联研究 (GWAS)、转录组学、蛋白质组学和代谢组学）在子痫前期研究领域取得的最新进展。接下来，我们整合了个体组学水平研究的结果，并表明，尽管在所有组学研究中都缺乏一致的生物标志物，但抑制素是 GWAS、转录组学和 DNA 甲基化证据支持的潜在子痫前期生物标志物。通过对本文综述中所有文献的生物标志物进行网络分析，我们确定了四个引人注目的具有明确生物学功能的子网络，这些网络得到了先前分子生物学和临床观察的支持。总之，组学整合方法有望理解子痫前期的分子机制。
