Review of Metabolomics-Based Biomarker Research for Parkinson’s Disease

生物标志物 代谢组学 生物标志物发现 疾病 医学 诊断生物标志物 帕金森病 生物信息学 病理 蛋白质组学 生物 生物化学 基因
作者
Xin Li,Xiaoying Fan,Hongtian Yang,Yufeng Liu
出处
期刊:Molecular Neurobiology [Springer Nature]
卷期号:59 (2): 1041-1057 被引量:22
标识
DOI:10.1007/s12035-021-02657-7
摘要

Parkinson's disease (PD), as the second most common neurodegenerative disease, is seriously affecting the life quality of the elderly. However, there is still a lack of efficient medical methods to diagnosis PD before apparent symptoms occur. In recent years, clinical biomarkers including genetic, imaging, and tissue markers have exhibited remarkable benefits in assisting PD diagnoses. Due to the advantages of high-throughput detection of metabolites and almost non-invasive sample collection, metabolomics research of PD is widely used for diagnostic biomarker discovery. However, there are also a few shortages for those identified biomarkers, such as the scarcity of verifications regarding the sensitivity and specificity. Thus, reviewing the research progress of PD biomarkers based on metabolomics techniques is of great significance for developing PD diagnosis. To comprehensively clarify the progress of current metabolic biomarker studies in PD, we reviewed 20 research articles regarding the discovery and validation of biomarkers for PD diagnosis from three mainstream academic databases (NIH PubMed, ISI Web of Science, and Elsevier ScienceDirect). By analyzing those materials, we summarized the metabolic biomarkers identified by those metabolomics studies and discussed the potential approaches used for biomarker verifications. In conclusion, this review provides a comprehensive and updated overview of PD metabolomics research in the past two decades and particularly discusses the validation of disease biomarkers. We hope those discussions might provide inspiration for PD biomarker discovery and verification in the future.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
彭于晏应助炸鸡加热采纳,获得10
1秒前
knn发布了新的文献求助10
1秒前
xianyu完成签到,获得积分10
4秒前
麦乐兴完成签到,获得积分10
5秒前
5秒前
6秒前
7秒前
9秒前
开心发布了新的文献求助10
9秒前
12秒前
科研通AI2S应助和谐为上采纳,获得10
12秒前
祥梦伊飞发布了新的文献求助30
13秒前
羊老三发布了新的文献求助10
14秒前
Ann发布了新的文献求助10
15秒前
在我梦里绕完成签到,获得积分10
16秒前
16秒前
pb完成签到 ,获得积分10
16秒前
Gaojin锦完成签到,获得积分10
19秒前
21秒前
kaikai完成签到,获得积分10
21秒前
Ann完成签到,获得积分10
24秒前
kaikai发布了新的文献求助10
25秒前
25秒前
炸鸡加热发布了新的文献求助10
26秒前
橙汁椰子汁完成签到,获得积分10
27秒前
wch666完成签到,获得积分10
29秒前
Singularity应助knn采纳,获得10
32秒前
科研通AI2S应助谷歌采纳,获得10
32秒前
小马甲应助科研通管家采纳,获得10
35秒前
混沌完成签到,获得积分10
35秒前
打打应助科研通管家采纳,获得10
35秒前
小蘑菇应助科研通管家采纳,获得10
35秒前
Cassie应助科研通管家采纳,获得10
35秒前
35秒前
科研通AI2S应助好好学习采纳,获得10
38秒前
snail01完成签到,获得积分10
38秒前
39秒前
42秒前
42秒前
43秒前
高分求助中
Sustainability in Tides Chemistry 2800
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Handbook of Qualitative Cross-Cultural Research Methods 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3137545
求助须知:如何正确求助?哪些是违规求助? 2788520
关于积分的说明 7787226
捐赠科研通 2444861
什么是DOI,文献DOI怎么找? 1300083
科研通“疑难数据库(出版商)”最低求助积分说明 625796
版权声明 601023