亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Exosome miRNA Profiles: The Reduced Expression of miRNA‐27a‐5p and Predictive miRNAs for Gestational Diabetes Mellitus

小RNA 外体 妊娠期糖尿病 微泡 细胞生物学 化学 生物 怀孕 生物化学 妊娠期 基因 遗传学
作者
Yupei Shen,Min Zhang,Zhaofeng Zhang,Li Min,Xiaohong Chen,Weiqiang Zhu,Junwei Liu,Qianxi Zhu,Yanyan Mao,Lingjin Xia,Jian Zhang,Difei Wang,Jing Du
出处
期刊:The FASEB Journal [Wiley]
卷期号:39 (12)
标识
DOI:10.1096/fj.202500470rr
摘要

ABSTRACT Gestational diabetes mellitus (GDM) poses both short‐term and long‐term health risks to mothers and infants. This study aims to examine the mechanisms involving insulin resistance mediated by exosomal miRNAs. We enrolled 2284 pregnant women from First People's Hospital of Kunshan, Jiangsu Province in this continuous follow‐up study. Plasma exosomes from patients with GDM and healthy pregnancies during the first trimester were co‐cultured with human choriocarcinoma (JEG‐3) cell lines. Plasma exosome samples collected at 8–12 and 24–28 gestational weeks were analyzed using high‐throughput small‐RNA sequencing. The expression levels of exosomal miRNAs were validated via real‐time polymerase chain reaction. Receiver operating characteristic (ROC) analysis was employed to assess their potential as early predictors. Plasma exosomes from the GDM group exhibited lower expressions of Let‐7c‐5p and miR‐27a‐5p compared to those from normal pregnancies by sequencing and validation during early pregnancy ( p < 0.05). These changes may influence the development and growth of JEG‐3 cells. miR‐122‐5p expression was elevated in GDM cases. The expression trajectories of these three miRNAs declined from early to late pregnancy. This miRNA panel showed potential as an early predictive biomarker for GDM (area under the ROC curve, 0.844; p < 0.05). Our findings demonstrate the significant role of exosomal miRNAs in GDM's pathogenesis and reveal a novel pattern of miRNA expression decline from early to late pregnancy. These miRNAs, particularly in combination, may be used as potential predictive biomarkers for GDM.
最长约 10秒,即可获得该文献文件

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
传奇3应助qq采纳,获得10
4秒前
qian发布了新的文献求助10
7秒前
cdercder应助幸运幸福采纳,获得100
8秒前
10秒前
qq完成签到,获得积分10
11秒前
14秒前
自觉的科研牛马完成签到 ,获得积分10
16秒前
qq发布了新的文献求助10
17秒前
Joif发布了新的文献求助10
21秒前
28秒前
江東完成签到 ,获得积分10
30秒前
曹大壮发布了新的文献求助10
32秒前
33秒前
充电宝应助科研通管家采纳,获得10
33秒前
香蕉觅云应助科研通管家采纳,获得10
33秒前
Kao应助科研通管家采纳,获得10
33秒前
Kao应助科研通管家采纳,获得30
33秒前
平淡如天完成签到,获得积分10
38秒前
Huaggghc完成签到,获得积分10
45秒前
科研通AI6.2应助幸运幸福采纳,获得10
46秒前
47秒前
coco完成签到,获得积分10
54秒前
雀巢早生蚝应助慧木采纳,获得10
58秒前
cc完成签到,获得积分10
1分钟前
celly完成签到,获得积分20
1分钟前
1分钟前
1分钟前
1分钟前
彩色甜瓜发布了新的文献求助10
1分钟前
玫瑰555完成签到 ,获得积分10
1分钟前
Hello应助锂电阳离子无序采纳,获得10
1分钟前
Lzk应助幸运幸福采纳,获得10
1分钟前
1分钟前
所所应助王世缘采纳,获得10
1分钟前
1分钟前
Huayan发布了新的文献求助10
2分钟前
哲别发布了新的文献求助10
2分钟前
2分钟前
无花果应助哲别采纳,获得10
2分钟前
落后盼望完成签到,获得积分10
2分钟前
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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
Rocket Propulsion Elements, 10th Edition 400
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 7304496
求助须知:如何正确求助?哪些是违规求助? 8922573
关于积分的说明 18901735
捐赠科研通 6967852
什么是DOI,文献DOI怎么找? 3212131
关于科研通互助平台的介绍 2380947
邀请新用户注册赠送积分活动 2189398