Metabolic signatures of tear extracellular vesicles caused by herpes simplex keratitis

单纯疱疹病毒 眼泪 间质细胞 角膜炎 细胞外 角膜 生物 免疫学 细胞生物学 病毒 癌症研究 神经科学 遗传学
作者
Huixiang Ma,Tucan Chen,Chengxu Li,Hao Xu,Qingyu Feng,Yunfei Su,Jianqiu Cai,Qingfu Zhu,Fei Liu,Liang Hu
出处
期刊:Ocular Surface [Elsevier]
卷期号:31: 21-30 被引量:6
标识
DOI:10.1016/j.jtos.2023.12.005
摘要

Herpes simplex keratitis (HSK), caused by type 1 herpes simplex virus (HSV) reactivation, is a severe infectious disease that leads to vision loss. HSV can trigger metabolic reprogramming in the host cell and change the extracellular vesicles (EV) cargos; however, little is known about the EV metabolic signatures during ocular HSV infection. Here, we aimed to depict the EV-associated metabolic landscape in HSK patients’ tears. We collected 82 samples from 41 participants with unilateral HSK (contralateral unaffected tears were set as negative control), including subtype cohorts of 13 epithelial, 20 stromal, and 8 endothelial HSK. We isolated tear EVs via our previously established platform and conducted metabolic analysis using LC-MS/MS. The metabolic signatures for recognizing HSK and subtypes were assessed through differential analysis and machine learning algorithms. Hypopsia and increased extracellular CD63 levels were observed in affected eyes. We identified 339 metabolites based on sEVs isolated from tears. Differential analysis revealed alterations in energy and amino acid metabolism, as well as the infectious microenvironment. Furthermore, we observed dysregulated metabolite such as methyldopa, which is associated with inappropriate neovascularization and corneal sensation loss, contributing to the HSK severity particularly in the stromal subtype. Moreover, machine learning classification also suggested a set of EV metabolic signatures that have potential for pan-keratitis detection. Our findings demonstrate that tear EV metabolites can serve as valuable indicators for comprehending the underlying pathological mechanisms. This knowledge is expected to facilitate the development of liquid biopsy means and therapeutic target discovery.
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
1秒前
haaaaaa完成签到 ,获得积分20
1秒前
1秒前
1秒前
2秒前
董瑞完成签到,获得积分10
2秒前
3秒前
3秒前
waitamoment完成签到,获得积分10
4秒前
华仔应助AAAA采纳,获得10
4秒前
领导范儿应助哈哈哈采纳,获得10
4秒前
科研痴发布了新的文献求助10
4秒前
内向的跳跳糖完成签到,获得积分10
4秒前
和谐紫安完成签到,获得积分20
4秒前
羊肉沫完成签到,获得积分10
4秒前
4秒前
我到了啊发布了新的文献求助10
5秒前
5秒前
俭朴的寇完成签到,获得积分10
5秒前
白白群00发布了新的文献求助10
5秒前
Orange应助mnys采纳,获得10
5秒前
fu发布了新的文献求助10
6秒前
不忘初心完成签到,获得积分10
6秒前
nancy完成签到,获得积分10
7秒前
科研通AI6.1应助于柯涵采纳,获得10
7秒前
7秒前
Owen应助钰钰儿采纳,获得10
7秒前
7秒前
2003发布了新的文献求助10
7秒前
8秒前
8秒前
8秒前
于佳卉发布了新的文献求助10
8秒前
在水一方应助sljzhangbiao11采纳,获得30
8秒前
晓军发布了新的文献求助10
8秒前
9秒前
元谷雪完成签到,获得积分10
9秒前
张智发布了新的文献求助10
10秒前
简单的桃子完成签到,获得积分10
10秒前
qhuzhl完成签到,获得积分10
10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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Short-Wavelength Infrared Windows for Biomedical Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6059539
求助须知:如何正确求助?哪些是违规求助? 7892154
关于积分的说明 16299528
捐赠科研通 5203845
什么是DOI,文献DOI怎么找? 2784002
邀请新用户注册赠送积分活动 1766778
关于科研通互助平台的介绍 1647203