Metabolomics identifies plasma biomarkers of localized radiation injury

代谢组学 计算生物学 生物信息学 医学 生物
作者
Lucie Ancel,Stéphane Grison,Olivier Gabillot,Jules Gueguen,Ljubica Svilar,B. Le Guen,Gaëtan Gruel,Marc Benderitter,Jean-Charles Martin,M. Souidi,Radia Tamarat,Stéphane Flamant,Mohamed Amine Benadjaoud
出处
期刊:Scientific Reports [Springer Nature]
卷期号:15 (1)
标识
DOI:10.1038/s41598-025-85717-5
摘要

A radiological accident may result in the development of a local skin radiation injury (LRI) which may evolve, depending on the dose, from dry desquamation to deep ulceration and necrosis through unpredictable inflammatory waves. Therefore, early diagnosis of victims of LRI is crucial for improving medical care efficiency. This preclinical study aims to identify circulating metabolites as biomarkers associated with LRI using a C57BL/6J mouse model of hind limb irradiation. More precisely, two independent mice cohorts were used to conduct a broad-spectrum profiling study followed by a suspect screening analysis performed on plasma metabolites by mass spectrometry. An integrative analysis was conducted through a multi-block sparse partial least square discriminant analysis (sPLS-DA) to establish multi-scale correlations between specific metabolites levels and biological, physiological (injury severity), and functional parameters (skin perfusion). The identified biomarker signature consists in a 6-metabolite panel including putrescine, uracil, 2,3-dihydroxybenzoate, 3-hydroxybenzoate, L-alanine and pyroglutamate, that can discriminate mice according to radiation dose and injury severity. Our results demonstrate relevant molecular signature associated with LRI in mice and support the use of plasma metabolites as suitable molecular biomarkers for LRI prognosis and diagnosis.

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
时间丶完成签到,获得积分10
1秒前
皮卡丘发布了新的文献求助10
1秒前
irisjlj发布了新的文献求助10
1秒前
2秒前
顺顺安完成签到,获得积分10
2秒前
摩尔曼斯克完成签到,获得积分10
3秒前
虚拟的清炎完成签到 ,获得积分10
3秒前
3秒前
3秒前
sharkmelon应助Amo采纳,获得10
3秒前
4秒前
wabfye完成签到,获得积分20
4秒前
4秒前
星辰大海应助明天的我采纳,获得10
4秒前
iNk应助科科采纳,获得10
4秒前
5秒前
5秒前
zgrmws应助怡然的夏之采纳,获得10
6秒前
量子星尘发布了新的文献求助10
6秒前
6秒前
6秒前
6秒前
thunder完成签到,获得积分10
7秒前
哈哈哈完成签到,获得积分10
7秒前
KAZEN发布了新的文献求助20
7秒前
满意的聋五完成签到,获得积分10
8秒前
8秒前
漫漫完成签到,获得积分10
8秒前
英姑应助高贵的如曼采纳,获得10
8秒前
8秒前
斯文的馒头完成签到,获得积分10
8秒前
9秒前
9秒前
9秒前
9秒前
桐桐应助欢欢采纳,获得30
9秒前
cablebot发布了新的文献求助10
10秒前
梦会故乡发布了新的文献求助10
10秒前
niNe3YUE应助结实的XMZ采纳,获得10
10秒前
科目三应助mlx采纳,获得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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667567
求助须知:如何正确求助?哪些是违规求助? 4886514
关于积分的说明 15120741
捐赠科研通 4826376
什么是DOI,文献DOI怎么找? 2583992
邀请新用户注册赠送积分活动 1538029
关于科研通互助平台的介绍 1496163