LMU Munich, Faculty of Medicine, Department of Anatomy II, Pettenkoferstr. 11, 80336, Munich, Germany.
Clinic for Obstetrics and Gynecology Dritter Orden, Menzinger Str. 44, 80638, Munich, Germany.
Placenta. 2019 Sep 15;85:24-31. doi: 10.1016/j.placenta.2019.08.082. Epub 2019 Aug 14.
The classification of histologically stained villous cross sections in villous types (terminal, intermediate and stem villi) by stromal peculiarities is known to be observer predicated. Therefore, quantitative histology of villous trees has not become a routine endpoint of studies on the role of the placenta in prenatal programming, as opposed to the gross placental parameters weight and thickness. The classification of villous cross sections in central (stem) and peripheral (terminal) parts based on the presence or absence, respectively, of immunohistochemical detection of myofibroblasts in perivascular position is less observer dependent. We hypothesized that it will, possibly, identify microscopic correlates of placental weight and thickness within the villous tree.
50 placentas from clinically normal pregnancies were processed for the present study. Thin villous cross sections, obtained in a systematic random manner, were stained immunohistochemically to detect γ-smooth muscle (sm) actin and to classify them subsequently as part of central or peripheral villous tree. The volume fractions of histological structures visible in villous cross sections (stroma, lumen, endothelium and syncytium) were estimated by design-based stereology.
The present study reveals a significant correlation of placental weight and thickness with the volume estimate of stroma that have myofibroblasts in perivascular position.
The positive linear correlation between the volume of central parts of villous trees and the placental weight and thickness is new. Surprisingly, the volume of more peripheral parts of villous trees, which is the main site of materno-fetal exchange does not correlate with placental weight and thickness.
通过间质特征将组织学染色的绒毛横断面分类为绒毛类型(终末、中间和茎绒毛)是观察者预测的。因此,绒毛树的定量组织学并没有成为胎盘在产前编程中的作用研究的常规终点,与胎盘重量和厚度等大体胎盘参数相反。根据血管周围位置是否存在免疫组织化学检测到的肌成纤维细胞,将绒毛横断面分类为中央(茎)和外周(终末)部分,这种分类方法观察者依赖性较小。我们假设,它可能会识别绒毛树内胎盘重量和厚度的微观相关性。
本研究对 50 例临床正常妊娠的胎盘进行了处理。以系统随机的方式获取薄的绒毛横断面,进行免疫组织化学染色以检测γ-平滑肌(sm)肌动蛋白,并随后将其分类为中央或外周绒毛树的一部分。通过基于设计的体视学估计可见于绒毛横断面的组织学结构(基质、腔、内皮和合体滋养层)的体积分数。
本研究揭示了胎盘重量和厚度与具有血管周围肌成纤维细胞的基质体积估计值之间存在显著相关性。
绒毛树中央部分的体积与胎盘重量和厚度之间的正线性相关性是新的。令人惊讶的是,绒毛树更外周部分的体积与胎盘重量和厚度不相关,而这部分是母婴交换的主要部位。