Molecular aspects of development and regulation of endometriosis

被引:85
作者
Aznaurova, Yana B. [1 ,3 ,5 ]
Zhumataev, Marat B. [1 ,3 ,5 ]
Roberts, Tiffany K. [2 ]
Aliper, Alexander M. [3 ,5 ,6 ]
Zhavoronkov, Alex A. [1 ,3 ,4 ]
机构
[1] IM Sechenov First Moscow State Med Univ, Moscow, Russia
[2] Emory Univ, Dept Pathol & Lab Med, Atlanta, GA 30322 USA
[3] First Open Inst Regenerat Med Young Scientists, Moscow, Russia
[4] Biogerontol Res Fdn, London, England
[5] Fed Res & Clin Ctr Pediat Hematol Oncol & Hematol, Moscow, Russia
[6] Moscow Inst Phys & Technol, Moscow, Russia
关键词
Endometriosis; Reproductive age; Bioinformatics analysis; Signaling pathways; Biomarkers; Therapeutic targets; GENOME-WIDE ASSOCIATION; ARYL-HYDROCARBON RECEPTOR; STEROIDOGENIC-FACTOR-I; NECROSIS-FACTOR-ALPHA; CHRONIC PELVIC PAIN; IMMUNOGLOBULIN-LIKE RECEPTOR; MESSENGER-RNA EXPRESSION; HUMAN-LEUKOCYTE ANTIGEN; SMOOTH-MUSCLE-CELLS; GROWTH-FACTOR-BETA;
D O I
10.1186/1477-7827-12-50
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
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页数:25
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