Translational 'Omics and Biomarkers group, KK Research Centre, KK Women's and Children's Hospital, Singapore 229899, Singapore.
Division of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore 229899, Singapore.
Int J Mol Sci. 2020 May 15;21(10):3515. doi: 10.3390/ijms21103515.
Endometriosis is a common inflammatory gynecological disorder which causes pelvic scarring, pain, and infertility, characterized by the implantation of endometrial-like lesions outside the uterus. The peritoneum, ovaries, and deep soft tissues are the commonly involved sites, and endometriotic lesions can be classified into three subphenotypes: superficial peritoneal endometriosis (PE), ovarian endometrioma (OE), and deep infiltrating endometriosis (DIE). In 132 women diagnosed laparoscopically with and without endometriosis ( = 73, 59 respectively), and stratified into PE, OE, and DIE, peritoneal fluids (PF) were characterized for 48 cytokines by using multiplex immunoassays. Partial-least-squares-regression analysis revealed distinct subphenotype cytokine signatures-a six-cytokine signature distinguishing PE from OE, a seven-cytokine signature distinguishing OE from DIE, and a six-cytokine-signature distinguishing PE from DIE-each associated with different patterns of biological processes, signaling events, and immunology. These signatures describe endometriosis better than disease stages ( < 0.0001). Pathway analysis revealed the association of ERK1 and 2, AKT, MAPK, and STAT4 linked to angiogenesis, cell proliferation, migration, and inflammation in the subphenotypes. These data shed new insights on the pathophysiology of endometriosis subphenotypes, with the potential to exploit the cytokine signatures to stratify endometriosis patients for targeted therapies and biomarker discovery.
子宫内膜异位症是一种常见的炎症性妇科疾病,可导致盆腔瘢痕、疼痛和不孕,其特征是子宫内膜样病变在子宫外植入。腹膜、卵巢和深部软组织是常见的受累部位,而子宫内膜异位症病变可分为三种亚型:浅表腹膜子宫内膜异位症(PE)、卵巢子宫内膜瘤(OE)和深部浸润性子宫内膜异位症(DIE)。在 132 名经腹腔镜诊断为子宫内膜异位症和非子宫内膜异位症的女性中(分别为 73 名和 59 名),并分为 PE、OE 和 DIE 三种亚型,采用多重免疫分析方法对腹膜液(PF)中的 48 种细胞因子进行了特征分析。偏最小二乘回归分析显示出不同的亚型细胞因子特征——一个由六个细胞因子组成的特征可以区分 PE 和 OE,一个由七个细胞因子组成的特征可以区分 OE 和 DIE,一个由六个细胞因子组成的特征可以区分 PE 和 DIE——每个特征都与不同的生物学过程、信号事件和免疫学模式相关。这些特征比疾病阶段(<0.0001)更能描述子宫内膜异位症。通路分析显示,ERK1 和 2、AKT、MAPK 和 STAT4 与血管生成、细胞增殖、迁移和炎症有关。这些数据为子宫内膜异位症亚型的病理生理学提供了新的见解,有可能利用细胞因子特征对子宫内膜异位症患者进行靶向治疗和生物标志物发现进行分层。