已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

The metabolic landscape of the maternal-fetal interface in missed miscarriage: a cross-sectional pilot multiomics study

接口(物质) 医学 计算机科学 代谢性疾病 代谢活性 生物信息学 能量代谢 人机交互 怀孕 代谢途径 鉴定(生物学) 计算生物学 用户界面
作者
Haoyue Hu,Qiqi Liu,Yingyu Liu,Jiao Cheng,Shuwei Zheng,Jing Ruan,Simin Liu,Yanfang Wang,Yuanfang Zhu,Xiaoyan Chen
出处
期刊:F&S science [Elsevier BV]
卷期号:7 (3): 246-259
标识
DOI:10.1016/j.xfss.2026.01.001
摘要

OBJECTIVE: To investigate the metabolic alterations at the maternal-fetal interface in missed miscarriage (MM) using untargeted metabolomic and lipidomic profiling of paired villous and decidual tissues. DESIGN: Observational study utilizing multiomics integration to analyze metabolic and lipidomic profiles. SUBJECTS: A total of 10 women were recruited in this study, including 5 women with MM and 5 healthy controls. All cases included in the MM group were euploid, excluding chromosomal abnormalities. EXPOSURE: The exposure in this study was the condition of MM, with tissue samples collected from both villous and decidual tissues. MAIN OUTCOME MEASURES: Differentially abundant metabolites and lipids between MM and control groups, focusing on metabolic pathways related to glycerophospholipid metabolism, sphingolipid signaling, and amino acid metabolism. RESULTS: We identified significant metabolic alterations in both villous and decidual tissues from MM pregnancies compared with healthy controls. Key findings included the downregulation of amino acids and organic acids, such as lactic acid, suggesting impaired energy metabolism. Lipidomic analysis revealed alterations in glycerophospholipids and sphingolipids, indicating disrupted cell signaling and inflammatory pathways in MM. CONCLUSION: This multiomics study highlights specific metabolic and lipidomic disruptions in MM, suggesting early metabolic disturbances at the maternal-fetal interface correlate with miscarriage. These findings may guide future therapeutic strategies targeting metabolic pathways to improve pregnancy outcomes in MM.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
鱼寄风完成签到 ,获得积分10
1秒前
小珂小珂完成签到,获得积分10
2秒前
3秒前
Nole应助reck采纳,获得10
4秒前
Manchester完成签到,获得积分10
4秒前
wc关闭了wc文献求助
4秒前
赵杰发布了新的文献求助10
4秒前
小鱼丸发布了新的文献求助10
5秒前
5秒前
Minnie发布了新的文献求助10
7秒前
111完成签到,获得积分10
7秒前
大模型应助科研通管家采纳,获得10
8秒前
prigogin应助科研通管家采纳,获得10
8秒前
8秒前
orixero应助科研通管家采纳,获得10
9秒前
深情安青应助科研通管家采纳,获得10
9秒前
lx应助勤恳慕蕊采纳,获得10
9秒前
姜璐瑶发布了新的文献求助10
9秒前
烟花应助科研通管家采纳,获得10
9秒前
搜集达人应助科研通管家采纳,获得10
9秒前
10秒前
钠电发布了新的文献求助10
11秒前
13秒前
xhjze完成签到,获得积分10
13秒前
清秀皓轩完成签到,获得积分10
15秒前
科研通AI6.4应助Leo采纳,获得10
15秒前
Chen完成签到 ,获得积分10
16秒前
李健应助陈陈陈采纳,获得10
16秒前
16秒前
18秒前
乐乐应助喜悦汉堡采纳,获得10
18秒前
清秀皓轩发布了新的文献求助10
19秒前
李lichunn完成签到 ,获得积分10
20秒前
515发布了新的文献求助10
21秒前
molihuakai应助刘快乐采纳,获得10
21秒前
读博的小武完成签到,获得积分10
21秒前
22秒前
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7625635
求助须知:如何正确求助?哪些是违规求助? 9200593
关于积分的说明 19726579
捐赠科研通 7196608
什么是DOI,文献DOI怎么找? 3273723
关于科研通互助平台的介绍 2435892
邀请新用户注册赠送积分活动 2269661