Metabolomics in the study of retinal health and disease

代谢组学 疾病 黄斑变性 生物标志物发现 计算生物学 代谢组 医学 生物 生物信息学 病理 蛋白质组学 眼科 遗传学 基因
作者
Inês Laíns,Mari Gantner,Salome Murinello,Jessica Lasky‐Su,Joan W. Miller,Martin Friedlander,Deeba Husain
出处
期刊:Progress in Retinal and Eye Research [Elsevier]
卷期号:69: 57-79 被引量:97
标识
DOI:10.1016/j.preteyeres.2018.11.002
摘要

Metabolomics is the qualitative and quantitative assessment of the metabolites (small molecules < 1.5 kDa) in body fluids. The metabolites are the downstream of the genetic transcription and translation processes and also downstream of the interactions with environmental exposures; thus, they are thought to closely relate to the phenotype, especially for multifactorial diseases. In the last decade, metabolomics has been increasingly used to identify biomarkers in disease, and it is currently recognized as a very powerful tool with great potential for clinical translation. The metabolome and the associated pathways also help improve our understanding of the pathophysiology and mechanisms of disease. While there has been increasing interest and research in metabolomics of the eye, the application of metabolomics to retinal diseases has been limited, even though these are leading causes of blindness. In this manuscript, we perform a comprehensive summary of the tools and knowledge required to perform a metabolomics study, and we highlight essential statistical methods for rigorous study design and data analysis. We review available protocols, summarize the best approaches, and address the current unmet need for information on collection and processing of tissues and biofluids that can be used for metabolomics of retinal diseases. Additionally, we critically analyze recent work in this field, both in animal models and in human clinical disease, including diabetic retinopathy and age-related macular degeneration. Finally, we identify opportunities for future research applying metabolomics to improve our current assessment and understanding of mechanisms of vitreoretinal diseases, and to hence improve patient assessment and care.
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
burn发布了新的文献求助10
刚刚
刚刚
shinysparrow应助亚宁采纳,获得200
2秒前
imi发布了新的文献求助10
2秒前
2秒前
3秒前
SOLOMON应助子不语采纳,获得10
5秒前
5秒前
7秒前
丘比特应助刺猬采纳,获得10
7秒前
壮观发布了新的文献求助10
8秒前
董怼怼发布了新的文献求助10
8秒前
Agamemnon发布了新的文献求助10
8秒前
鳗鱼断秋完成签到 ,获得积分10
9秒前
桐桐应助Ting222采纳,获得10
10秒前
10秒前
寻道图强应助炙心采纳,获得30
10秒前
gc发布了新的文献求助10
10秒前
三虎科研完成签到,获得积分10
12秒前
13秒前
青阳发布了新的文献求助10
13秒前
壮观完成签到,获得积分10
14秒前
MJJ发布了新的文献求助10
15秒前
16秒前
17秒前
17秒前
ty完成签到 ,获得积分10
18秒前
19秒前
小葡萄icon应助三虎科研采纳,获得10
20秒前
20秒前
青阳完成签到,获得积分10
21秒前
刺猬发布了新的文献求助10
23秒前
言灵鱼发布了新的文献求助10
24秒前
霍霍完成签到,获得积分10
25秒前
25秒前
26秒前
小马甲应助柯柯采纳,获得10
26秒前
28秒前
28秒前
ye完成签到,获得积分10
30秒前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Sport in der Antike 800
Aspect and Predication: The Semantics of Argument Structure 666
De arte gymnastica. The art of gymnastics 600
少脉山油柑叶的化学成分研究 530
Berns Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
Stephen R. Mackinnon - Chen Hansheng: China’s Last Romantic Revolutionary (2023) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2411145
求助须知:如何正确求助?哪些是违规求助? 2106243
关于积分的说明 5322162
捐赠科研通 1833709
什么是DOI,文献DOI怎么找? 913759
版权声明 560875
科研通“疑难数据库(出版商)”最低求助积分说明 488579