Plasma-Derived Neuronal Exosomal CircRNAs as Potential Biomarkers for Central Nervous System Infections.

中枢神经系统 神经科学 生物 医学 计算生物学
作者
Rui Zhang,Bihan Deng,S. Shi,Geng Lu,Jun Xia,Hongwei Liang,Fei Liu,Shuangshuang Gu,Jun Wang
出处
期刊:PubMed 卷期号:2025: 9363390-9363390
标识
DOI:10.1155/jimr/9363390
摘要

Infections of central nervous system (ICNSs) are inflammatory diseases caused by infectious agents that can infiltrate the brain and spinal cord through various routes, including the bloodstream, peripheral nerves, or cranial nerves. Exosomes are found in plasma and have the capacity to cross the blood-brain barrier (BBB). Exosome constituents, including lipids, proteins, DNA, and RNA, change significantly over time and are correlated with the course of disease. Circular RNA (circRNA) has become a potential biomarker for various diseases, such as ICNSs. This study explores the diagnostic potential of circRNAs derived from brain-derived exosomes in ICNSs. Our research shows that the brain-derived exosomes from patients with CNS illnesses have different patterns of circRNA expression than those from healthy controls. Plasma samples from patients with bacterial ICNSs show significantly elevated levels of hsa_circ__0020840 and hsa_circ_0116108. In contrast, higher expression levels of hsa_circ_0056947 and hsa_circ_0021531 are observed in plasma samples from individuals with viral ICNSs compared to healthy subjects. These observations suggest their potential utility as sensitive and specific biomarkers for these diseases. Moreover, the capacity of circRNAs to be encapsulated within exosomes and released into circulation offers a noninvasive approach for diagnosing ICNSs. These findings highlight the promise of utilizing brain-derived exosomal circRNAs as novel diagnostic markers for ICNSs, which may have implications for improving patient outcomes and disease management.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
呆萌冰彤完成签到 ,获得积分10
1秒前
wBw完成签到,获得积分0
2秒前
小二郎应助Binggo采纳,获得10
4秒前
MarT1n发布了新的文献求助30
10秒前
量子星尘发布了新的文献求助10
11秒前
muzi完成签到,获得积分10
12秒前
白白不喽完成签到 ,获得积分10
18秒前
大大大漂亮完成签到 ,获得积分10
23秒前
爆米花应助科研通管家采纳,获得10
24秒前
orixero应助科研通管家采纳,获得10
24秒前
31秒前
黄大仙完成签到,获得积分10
32秒前
量子星尘发布了新的文献求助10
33秒前
一个小胖子完成签到,获得积分10
33秒前
Binggo发布了新的文献求助10
36秒前
Richard完成签到 ,获得积分10
37秒前
Binggo完成签到,获得积分10
42秒前
量子星尘发布了新的文献求助150
53秒前
cyskdsn完成签到 ,获得积分10
54秒前
57秒前
1分钟前
1分钟前
牛奶面包完成签到 ,获得积分10
1分钟前
吉吉完成签到,获得积分10
1分钟前
量子星尘发布了新的文献求助20
1分钟前
1分钟前
凡凡完成签到,获得积分10
1分钟前
fishss完成签到 ,获得积分10
1分钟前
2025121539发布了新的文献求助10
1分钟前
尼古拉耶维奇完成签到 ,获得积分10
1分钟前
gzsy完成签到 ,获得积分10
1分钟前
donk完成签到,获得积分10
1分钟前
1分钟前
HuanChen完成签到 ,获得积分10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
Rare完成签到 ,获得积分10
1分钟前
rsdggsrser完成签到 ,获得积分10
1分钟前
1分钟前
愉快迎荷发布了新的文献求助30
1分钟前
赵李锋完成签到,获得积分10
1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
Zur lokalen Geoidbestimmung aus terrestrischen Messungen vertikaler Schweregradienten 1000
Schifanoia : notizie dell'istituto di studi rinascimentali di Ferrara : 66/67, 1/2, 2024 1000
Circulating tumor DNA from blood and cerebrospinal fluid in DLBCL: simultaneous evaluation of mutations, IG rearrangement, and IG clonality 500
Food Microbiology - An Introduction (5th Edition) 500
Laboratory Animal Technician TRAINING MANUAL WORKBOOK 2012 edtion 400
Progress and Regression 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4852103
求助须知:如何正确求助?哪些是违规求助? 4150447
关于积分的说明 12857082
捐赠科研通 3898668
什么是DOI,文献DOI怎么找? 2142559
邀请新用户注册赠送积分活动 1162325
关于科研通互助平台的介绍 1062707