Untargeted and spatial-resolved metabolomics characterize serum and tissue-specific metabolic reprogramming in acute kidney injury

代谢组学 急性肾损伤 肉碱 代谢物 肾脏疾病 医学 代谢组 氨基酸 内科学 生物 生物信息学 生物化学
作者
Bei Xu,Wanyi Li,Yamei Zhang,Yan Chen,Jiafu Feng,Xiangrong Song
出处
期刊:Heliyon [Elsevier BV]
卷期号:9 (11): e21171-e21171 被引量:3
标识
DOI:10.1016/j.heliyon.2023.e21171
摘要

Acute kidney injury (AKI) is one of the most common clinical emergencies characterized by rapid progression, difficulty in early diagnosis, and high mortality. Currently, there are no effective AKI early diagnostic methods and treatments. Therefore, identifying new mechanisms of AKI have become urgent for development new targets for early diagnosis and treatment of AKI in the current clinical setting.In this study, systematic analysis and comparison of serum metabolic profiles of clinical AKI patients, chronic kidney disease (CKD) patients, and healthy subjects were performed using untargeted metabolomics. Moreover, the first spatial metabolomic analysis of kidney tissues in an AKI mouse model using MALDI-TOF MS technology was conducted. Differentially expressed metabolites were identified using a comprehensive, publicly available database. The metabolic data obtained were evaluated using principal component analysis, (orthogonal) partial least squares discriminant analysis, and metabolic pathway analysis to explore the unique serum metabolic profile of the patients, as well as to characterize the spatial distribution of differential metabolites in the kidneys of AKI mice.Significant changes in the metabolite levels of amino acids, carnitine, and lipids were observed in the AKI and CKD groups versus the healthy population, suggesting that kidney injury may lead to abnormalities in various metabolic pathways, such as amino acids, fatty acids, and lipids. The significant difference between the AKI and CKD groups were found for the first time in these indexes including amino acid, carnitine, fatty acid, and lipid levels. Additionally, spatial metabolomics results revealed that amino acid, carnitine, organic acid, and fatty acid metabolites were more likely significantly altered in the renal cortex, while lipid metabolites were both differentially distributed in the cortex and medulla of the AKI group.Abnormalities in the serum metabolism of amino acids, carnitine, and lipids in patients with kidney diseases, such as AKI and CKD, are closely associated with the physiological dysfunction of kidney injury. Metabolic differences between patients with AKI and CKD were compared for the first time, showing that fatty acid oxidative inhibition was more severe in patients with AKI. Furthermore, spatial metabolomics has revealed metabolic reprogramming with tissue heterogeneity in AKI mice model. Our study provides valuable information in the molecular pathological features of AKI in the kidney tissues.
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
yuqingqing完成签到,获得积分10
1秒前
2秒前
沫沫沫沫发布了新的文献求助10
3秒前
专注的小海豚完成签到,获得积分10
3秒前
酷波er应助Supper采纳,获得10
3秒前
科研通AI6.2应助淡墨花笺采纳,获得10
5秒前
8秒前
整齐的外套应助gaogao采纳,获得10
8秒前
陶醉的傲丝关注了科研通微信公众号
8秒前
cxw完成签到 ,获得积分10
12秒前
时不我待完成签到,获得积分10
12秒前
12秒前
13秒前
15秒前
15秒前
不二法门完成签到,获得积分10
15秒前
鲜于枫发布了新的文献求助10
17秒前
18秒前
科研小白完成签到,获得积分10
18秒前
21秒前
21秒前
22秒前
李健应助淡蓝色采纳,获得10
23秒前
hyc完成签到,获得积分10
24秒前
25秒前
zi完成签到,获得积分10
25秒前
Baibai完成签到,获得积分10
27秒前
Chen发布了新的文献求助10
28秒前
28秒前
Dawn完成签到,获得积分10
30秒前
伶俐的不评完成签到,获得积分10
31秒前
32秒前
孤独霸气的毛毛完成签到,获得积分10
32秒前
笨笨问儿完成签到 ,获得积分10
34秒前
zhongbo完成签到,获得积分10
35秒前
37秒前
xelloss发布了新的文献求助10
37秒前
liumou发布了新的文献求助10
39秒前
大模型应助活泼的断秋采纳,获得10
40秒前
40秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Bend stiffness of submarine cables – an experimental and numerical investigation 5000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7541174
求助须知:如何正确求助?哪些是违规求助? 9125213
关于积分的说明 19495707
捐赠科研通 7137551
什么是DOI,文献DOI怎么找? 3258205
关于科研通互助平台的介绍 2425553
邀请新用户注册赠送积分活动 2246317