Small molecule metabolites: discovery of biomarkers and therapeutic targets

代谢组学 生物标志物发现 计算生物学 生物医学 生物标志物 疾病 生物信息学 代谢物 代谢途径 表型 药物发现 生物 诊断生物标志物 医学 蛋白质组学 病理 遗传学 内科学 基因
作者
Shi Qiu,Ying Cai,Hong Yao,Chunsheng Lin,Yiqiang Xie,Songqi Tang,Aihua Zhang
出处
期刊:Signal Transduction and Targeted Therapy [Springer Nature]
卷期号:8 (1): 132-132 被引量:774
标识
DOI:10.1038/s41392-023-01399-3
摘要

Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.
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
赘婿应助ww采纳,获得10
1秒前
CC66发布了新的文献求助10
1秒前
1秒前
昵称发布了新的文献求助10
2秒前
XD824完成签到,获得积分10
2秒前
狂野紫丝发布了新的文献求助10
2秒前
2秒前
3秒前
DW应助酷酷问夏采纳,获得10
3秒前
3秒前
OK应助拉长的绮山采纳,获得20
4秒前
靓丽的如冬完成签到,获得积分10
4秒前
4秒前
Hello应助大常采纳,获得10
5秒前
XD824发布了新的文献求助10
5秒前
夏歌蝉发布了新的文献求助10
5秒前
k1ove发布了新的文献求助10
5秒前
Zefir发布了新的文献求助10
5秒前
5秒前
5秒前
Xiaolei发布了新的文献求助10
6秒前
hana发布了新的文献求助10
6秒前
cheng完成签到,获得积分10
6秒前
6秒前
安静的卿发布了新的文献求助10
6秒前
小马甲应助淡定的紫青采纳,获得10
7秒前
7秒前
武林小鸟完成签到,获得积分10
7秒前
天天快乐应助lee_li采纳,获得10
9秒前
云山完成签到,获得积分10
9秒前
太兰完成签到 ,获得积分10
9秒前
灵巧剑身完成签到,获得积分10
10秒前
酷波er应助Dreamchaser采纳,获得10
10秒前
10秒前
123完成签到,获得积分10
10秒前
10秒前
Angleli完成签到,获得积分10
10秒前
共享精神应助心心哈采纳,获得10
11秒前
咕噜咕噜发布了新的文献求助10
11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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7740292
求助须知:如何正确求助?哪些是违规求助? 9289038
关于积分的说明 20193425
捐赠科研通 7318510
什么是DOI,文献DOI怎么找? 3306434
关于科研通互助平台的介绍 2458669
邀请新用户注册赠送积分活动 2316546