Integrated Placental Modelling of Histology with Gene Expression to Identify Functional Impact on Fetal Growth.

Integrated Placental Modelling of Histology with Gene Expression to Identify Functional Impact on Fetal Growth.
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DOI:
10.3390/cells12071093
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发表时间:
2023-04-06
期刊:
影响因子:
6
通讯作者:
--
中科院分区:
生物学2区
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--
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胎儿生长受限(FGR)是围产儿发病率和死亡率的主要原因。胎盘形态和功能的改变是FGR发病的主要因素。在健康和FGR妊娠中,胎盘结构与整个胎盘的功能之间的关系在很大程度上仍未被探索,但可以提高对胎盘疾病的理解。我们使用预测模型研究了人类胎盘这一术语中这些参数的空间整合。系统取样能够克服胎盘形态和分子特征的异质性。与健康对照组相比,与年龄匹配的足月FGR患者相比,胎盘绒毛发育缺陷、纤维化加重以及生长和功能标志基因(IGF2、VEGA、SLC38A1和SLC2A3)的表达减少。具有特定伴随分子特征的组织病理学变化可以通过计算机建模来预测胎盘是来自健康的还是FGR妊娠。我们的发现为胎盘结构和功能之间的空间关系以及FGR的病因提供了新的见解。
Fetal growth restriction (FGR) is a leading cause of perinatal morbidity and mortality. Altered placental formation and functional capacity are major contributors to FGR pathogenesis. Relating placental structure to function across the placenta in healthy and FGR pregnancies remains largely unexplored but could improve understanding of placental diseases. We investigated integration of these parameters spatially in the term human placenta using predictive modelling. Systematic sampling was able to overcome heterogeneity in placental morphological and molecular features. Defects in villous development, elevated fibrosis, and reduced expression of growth and functional marker genes (IGF2, VEGA, SLC38A1, and SLC2A3) were seen in age-matched term FGR versus healthy control placentas. Characteristic histopathological changes with specific accompanying molecular signatures could be integrated through computational modelling to predict if the placenta came from a healthy or FGR pregnancy. Our findings yield new insights into the spatial relationship between placental structure and function and the etiology of FGR.
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