Metabolic Differences among Patients with Cirrhosis Using Q Exactive Hybrid Quadrupole Orbitrap Mass Spectrometry Technology

轨道轨道 质谱法 化学 四极 肝硬化 色谱法 分析化学(期刊) 内科学 物理 医学 原子物理学
作者
Ying Xiao,Jie Lu,Suyan Xu,Zhinian Wu,Wei Wang,Ru Ji,Tingyu Guo,Zeqiang Qi,Hua Tong,Yadong Wang,Caiyan Zhao
出处
期刊:Journal of Proteome Research [American Chemical Society]
标识
DOI:10.1021/acs.jproteome.4c00437
摘要

The hospitalization and mortality rates of patients gradually increase following the onset and progression of liver cirrhosis (LC). We aimed to help define clinical stage and better target interventions by detecting the expression of specific metabolites in patients with different stages of LC via Q Exactive hybrid quadrupole orbitrap mass spectrometry (UPLC-Q-Exactive) technology. This noninterventional observation case-control study involved 139 patients with LC or acute-on-chronic liver failure (ACLF) in a Chinese hospital between October 2022 and April 2023. Serum specimens were analyzed for multiple metabolite levels using UPLC-Q-Exactive. Data were processed to screen for differentially accumulated metabolites (DAMs). Short time-series expression miner (STEM) analysis and enrichment analysis were performed to assess cirrhosis progression biomarkers. Following univariate and multivariate analyses, a Venn diagram indicated nine significant DAMs in common among groups. STEM analysis showed 8'-hydroxyabscisic acid, HDCA, pyruvate-3-phosphate, indospicine, eplerenone, and DEHP as significant; their levels first peaked [Child-Turcotte-Pugh (CTP) class B peaked] and then decreased with CTP grade aggravation. Significant differences among 8'-hydroxyabscisic acid, eplerenone, and DEHP were observed among LC comorbidities and between subgroups. Therefore, serum levels of six DAMs may characterize metabolomic changes, determine the severity of LC, and predict the development of ACLF.
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
刚刚
1秒前
1秒前
科研通AI5应助夏夏采纳,获得10
2秒前
安详忆雪发布了新的文献求助10
2秒前
小姚姚完成签到,获得积分10
2秒前
克里斯就是逊啦完成签到,获得积分10
3秒前
海海完成签到,获得积分10
3秒前
大淼完成签到,获得积分10
3秒前
jnn发布了新的文献求助20
3秒前
zxh发布了新的文献求助10
3秒前
槑槑完成签到,获得积分10
4秒前
老实雨莲发布了新的文献求助10
4秒前
4秒前
5秒前
田様应助晚风采纳,获得30
5秒前
呆呆子发布了新的文献求助10
5秒前
成就丸子完成签到 ,获得积分10
6秒前
科研废物发布了新的文献求助10
6秒前
6秒前
6秒前
NexusExplorer应助Sissi采纳,获得30
7秒前
7秒前
兔兔要睡觉完成签到 ,获得积分10
8秒前
blue发布了新的文献求助30
8秒前
9秒前
鳗鱼饭饭发布了新的文献求助10
9秒前
9秒前
嘟嘟嘟完成签到,获得积分20
9秒前
赘婿应助777采纳,获得10
10秒前
10秒前
Lucas应助饱满小兔子采纳,获得30
10秒前
10秒前
jnn完成签到,获得积分20
10秒前
MoleMed发布了新的文献求助20
11秒前
研友_VZG64n发布了新的文献求助10
12秒前
隐形曼青应助1234567890采纳,获得10
13秒前
放放风完成签到,获得积分10
13秒前
窝趣嘞完成签到 ,获得积分10
13秒前
gu发布了新的文献求助10
13秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Treatise on Ocular Drug Delivery 200
studies in large plastic flow and fructure 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3834697
求助须知:如何正确求助?哪些是违规求助? 3377202
关于积分的说明 10497023
捐赠科研通 3096605
什么是DOI,文献DOI怎么找? 1705084
邀请新用户注册赠送积分活动 820451
科研通“疑难数据库(出版商)”最低求助积分说明 772054