category
bioRxiv
date
Mar 13, 2026
slug
status
Published
summary
首次系统比较早孕期小/大血浆细胞外囊泡的分子特征,发现大囊泡富集线粒体相关分子和胎盘激素蛋白,小囊泡富集EV标志物和细胞外基质蛋白,揭示两者在胎盘功能监测中的互补作用。
tags
蛋白质组学
测序技术
type
Post
📄 原文题目
Multi-omic profiling of early pregnancy small and large plasma extracellular vesicles reveals placental, metabolic, and structural adaptation signatures
🔗 原文链接
💡 AI 核心解读
首次系统比较早孕期小/大血浆细胞外囊泡的分子特征,发现大囊泡富集线粒体相关分子和胎盘激素蛋白,小囊泡富集EV标志物和细胞外基质蛋白,揭示两者在胎盘功能监测中的互补作用。
📝 英文原版摘要
Early human pregnancy is a critical period characterized by rapid growth and extensive maternal-fetal communication that influence maternal and fetal outcomes. Circulating extracellular vesicles (EVs) have the capacity to capture cargo that reflect these processes in real-time; however, signatures of EV subtypes during early pregnancy are poorly defined. Here we quantified mitochondrial DNA (mtDNA) and performed transcriptomic and proteomic profiling of small (~100 nm) and large (~200 nm) plasma EVs from n=10 normal pregnancies (11-15 weeks) to define subtype-specific molecular signatures. mtDNA and mitochondrial protein content were more abundant in large EVs (lEVs). lEVs also contained a more complex set of long RNAs enriched for placental, immune, and mitochondrial-related transcripts compared with small EVs (sEVs). Proteomic profiling showed enrichment of canonical EV markers and extracellular matrix proteins in sEVs, whereas lEVs were preferentially associated with pregnancy-specific proteins, including proteins related to placental hormone production. MicroRNAs (miRNAs) accounted for ~25% of small RNAs in both EV subtypes with miR-223 and miR-16 enriched in lEVs and miR-639 enriched in sEVs. These data together, support a model where small and large plasma EVs have distinct, yet complementary signatures reporting systemic adaptations during the critical 11-15 week transition period. This work establishes a foundational framework for future studies linking EV signatures to placental dysfunction and adverse outcomes.
- 作者:NotionNext
- 链接:https://tangly1024.com/article/32248bd6-1f96-8114-b8ff-e59258d68fe3
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议,转载请注明出处。
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