Comparative analysis of lipid metabolism in trophoblast subpopulations in preeclampsia and in vitro hypoxia model

先兆子痫和体外缺氧模型中滋养层亚群脂质代谢的比较分析

阅读:2

Abstract

Preeclampsia is a leading cause of maternal and perinatal morbidity associated with systemic lipid metabolism disturbances, yet the underlying molecular mechanisms remain incompletely understood. In this study, we integrated single-cell RNA-seq data from preeclamptic placentas with an in vitro hypoxia model to analyze gene expression changes across distinct trophoblast subpopulations. While all trophoblast lineages exhibited hypoxia-driven metabolic reprogramming, the response was highly cell-type specific. In the syncytiotrophoblast (SCT), the primary maternal-fetal barrier, preeclampsia was associated with a significant downregulation of LDLR and cholesterol biosynthesis genes (OR = 4.991, p = 6.30e-04). Concurrently, we observed increased expression of genes governing transcytosis (SCARB1, CAV1). In contrast, the extravillous trophoblast (EVT) displayed a divergent adaptive response, characterized by elevated LDLR expression and downregulated cholesterol biosynthesis. In vitro hypoxia modeling in BeWo b30 cells recapitulated the SCT-specific phenotype and identified a potential regulatory mechanism: a fivefold increase in PCSK9 expression (padj = 3.53e-10) and a 1.5-fold decrease in SNX17 (padj = 1.76e-04)-key regulators that limit lipoprotein receptor recycling. This was accompanied by the suppression of lipid biosynthesis genes and the transcriptional activation of pathways associated with transcytosis and cholesterol efflux. Collectively, these results confirm the pivotal role of hypoxic stress in disrupting placental lipid metabolism and reveal a subpopulation-specific transcriptional program in preeclampsia-a shift from endocytosis to transcytosis-that likely serves as a compensatory mechanism to ensure fetal lipid supply under conditions of limited availability.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。