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足月分娩前后人胎膜和蜕膜中核孕激素受体的表达

Nuclear progesterone receptor expression in the human fetal membranes and decidua at term before and after labor.

作者信息

Merlino Amy, Welsh Toni, Erdonmez Tan, Madsen Gemma, Zakar Tamas, Smith Roger, Mercer Brian, Mesiano Sam

机构信息

Department of Obstetrics and Gynecology, MetroHealth Medical Center, Cleveland, Ohio, USA.

出版信息

Reprod Sci. 2009 Apr;16(4):357-63. doi: 10.1177/1933719108328616. Epub 2009 Feb 5.

Abstract

To explore how progesterone affects human pregnancy, we identified the progesterone target cells within the fetal membranes (amnion, chorion, and decidua) at term by assessing the extent of expression and localization of the nuclear progesterone receptors, progesterone receptor-A and progesterone receptor-B. Fetal membranes (separated into amnion and chorion-decidua) were obtained after term cesarean deliveries performed before (n = 7) and after (n = 7) labor onset. Nuclear progesterone receptor expression was determined by the abundance of nuclear progesterone receptor mRNAs (by quantitative reverse transcriptase-polymerase chain reaction) and proteins (by western blotting). Localization of nPRs was determined by immunohistochemistry. Progesterone receptor-A and progesterone receptor-B mRNA and protein levels were highest in the chorion-decidua and did not change in association with labor. Nuclear progesterone receptor mRNAs and proteins were barely detectable in amnion. Nuclear progesterone receptor immunostaining was detected only in the nucleus of decidual cells. These findings suggest that the decidua, and not the amnion and chorion, is a direct target for nuclear progesterone receptor-mediated progesterone actions during human pregnancy.

摘要

为了探究孕酮如何影响人类妊娠,我们通过评估核孕酮受体、孕酮受体-A和孕酮受体-B的表达程度及定位,确定了足月时胎膜(羊膜、绒毛膜和蜕膜)内的孕酮靶细胞。在临产前(n = 7)和临产(n = 7)后进行足月剖宫产时获取胎膜(分为羊膜和绒毛膜-蜕膜)。通过核孕酮受体mRNA的丰度(定量逆转录聚合酶链反应)和蛋白质(蛋白质印迹法)来测定核孕酮受体的表达。通过免疫组织化学确定核孕酮受体的定位。孕酮受体-A和孕酮受体-B的mRNA和蛋白质水平在绒毛膜-蜕膜中最高,且不随临产而变化。在羊膜中几乎检测不到核孕酮受体mRNA和蛋白质。核孕酮受体免疫染色仅在蜕膜细胞的细胞核中检测到。这些发现表明,在人类妊娠期间,蜕膜而非羊膜和绒毛膜是核孕酮受体介导的孕酮作用的直接靶标。

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