Aznaurova Yana B, Zhumataev Marat B, Roberts Tiffany K, Aliper Alexander M, Zhavoronkov Alex A
I,M, Sechenov First Moscow State Medical University, Moscow, Russian Federation.
Reprod Biol Endocrinol. 2014 Jun 13;12:50. doi: 10.1186/1477-7827-12-50.
Endometriosis is a common and painful condition affecting women of reproductive age. While the underlying pathophysiology is still largely unknown, much advancement has been made in understanding the progression of the disease. In recent years, a great deal of research has focused on non-invasive diagnostic tools, such as biomarkers, as well as identification of potential therapeutic targets. In this article, we will review the etiology and cellular mechanisms associated with endometriosis as well as the current diagnostic tools and therapies. We will then discuss the more recent genomic and proteomic studies and how these data may guide development of novel diagnostics and therapeutics. The current diagnostic tools are invasive and current therapies primarily treat the symptoms of endometriosis. Optimally, the advancement of "-omic" data will facilitate the development of non-invasive diagnostic biomarkers as well as therapeutics that target the pathophysiology of the disease and halt, or even reverse, progression. However, the amount of data generated by these types of studies is vast and bioinformatics analysis, such as we present here, will be critical to identification of appropriate targets for further study.
子宫内膜异位症是一种影响育龄女性的常见且疼痛的病症。虽然其潜在的病理生理学在很大程度上仍不为人所知,但在了解该疾病的进展方面已取得了很大进展。近年来,大量研究集中在非侵入性诊断工具,如生物标志物,以及潜在治疗靶点的识别上。在本文中,我们将综述与子宫内膜异位症相关的病因和细胞机制以及当前的诊断工具和治疗方法。然后我们将讨论最近的基因组和蛋白质组学研究,以及这些数据如何指导新型诊断和治疗方法的开发。当前的诊断工具具有侵入性,当前的治疗方法主要是治疗子宫内膜异位症的症状。理想情况下,“组学”数据的进展将有助于开发非侵入性诊断生物标志物以及针对该疾病病理生理学的治疗方法,从而阻止甚至逆转疾病进展。然而,这些类型的研究所产生的数据量巨大,像我们在此展示的生物信息学分析对于识别进一步研究的合适靶点至关重要。