Metabolomics in COPD

代谢组学 医学 慢性阻塞性肺病 计算生物学 疾病 鉴定(生物学) 生物信息学 病理 生物 内科学 植物
作者
Joaquim Gea,César Jessé Enríquez-Rodríguez,Sergi Pascual-Guàrdia
出处
期刊:Archivos De Bronconeumologia [Elsevier BV]
卷期号:59 (5): 311-321 被引量:9
标识
DOI:10.1016/j.arbres.2022.12.018
摘要

The clinical presentation of chronic obstructive pulmonary disease (COPD) is highly heterogeneous. Attempts have been made to define subpopulations of patients who share clinical characteristics (phenotypes and treatable traits) and/or biological characteristics (endotypes), in order to offer more personalized care. Assigning a patient to any of these groups requires the identification of both clinical and biological markers. Ideally, biological markers should be easily obtained from blood or urine, but these may lack specificity. Biomarkers can be identified initially using conventional or more sophisticated techniques. However, the more sophisticated techniques should be simplified in the future if they are to have clinical utility. The -omics approach offers a methodology that can assist in the investigation and identification of useful markers in both targeted and blind searches. Specifically, metabolomics is the science that studies biological processes involving metabolites, which can be intermediate or final products. The metabolites associated with COPD and their specific phenotypic and endotypic features have been studied using various techniques. Several compounds of particular interest have emerged, namely, several types of lipids and derivatives (mainly phospholipids, but also ceramides, fatty acids and eicosanoids), amino acids, coagulation factors, and nucleic acid components, likely to be involved in their function, protein catabolism, energy production, oxidative stress, immune-inflammatory response and coagulation disorders. However, clear metabolomic profiles of the disease and its various manifestations that may already be applicable in clinical practice still need to be defined.

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
suchui完成签到,获得积分10
1秒前
美丽蕨菜子完成签到,获得积分10
1秒前
青岛彭于晏完成签到 ,获得积分10
1秒前
pluto应助澜桉采纳,获得10
2秒前
科研百晓生完成签到 ,获得积分10
2秒前
2秒前
biows119完成签到,获得积分10
2秒前
无花果应助15256397832采纳,获得10
3秒前
charles发布了新的文献求助10
4秒前
傲娇的天真完成签到,获得积分10
4秒前
赵英哲完成签到,获得积分10
5秒前
Wangrich发布了新的文献求助10
5秒前
糖卜里卜发布了新的文献求助20
5秒前
自觉的向彤完成签到,获得积分10
5秒前
感谢无聊的书白转发科研通微信,获得积分50
5秒前
pluto应助澜桉采纳,获得10
5秒前
饺子完成签到,获得积分10
5秒前
所所应助RUI采纳,获得10
6秒前
核桃应助刻苦烤鸡采纳,获得30
6秒前
molihuakai应助lanrangg采纳,获得10
6秒前
6秒前
hhhhh发布了新的文献求助10
6秒前
小朱佩奇发布了新的文献求助10
6秒前
科研通AI2S应助软软采纳,获得10
6秒前
Noneone110完成签到,获得积分10
7秒前
彭于晏应助秦瑞哲采纳,获得20
7秒前
nancyzhy完成签到 ,获得积分10
8秒前
9秒前
scjgf发布了新的文献求助10
9秒前
传奇3应助karaha采纳,获得20
9秒前
机灵曼荷完成签到,获得积分10
9秒前
可爱的函函应助karaha采纳,获得20
9秒前
Lucas应助karaha采纳,获得10
10秒前
10秒前
科研通AI2S应助karaha采纳,获得10
10秒前
小蘑菇应助karaha采纳,获得10
10秒前
星辰大海应助karaha采纳,获得10
10秒前
CodeCraft应助karaha采纳,获得10
10秒前
李健的小迷弟应助karaha采纳,获得10
10秒前
11秒前
高分求助中
Ideology and Meaning-Making under the Putin Regime 750
Introduction to Industrial/Organizational Psychology 600
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Handbook of Luminescence Dating 500
Safety Pharmacology 500
《KNN基无铅压电陶瓷电学性能优化与物理机理研究》 500
Isomerism In Coordination Compounds 400
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 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6933826
求助须知:如何正确求助?哪些是违规求助? 8621001
关于积分的说明 18284646
捐赠科研通 6360552
什么是DOI,文献DOI怎么找? 3074785
关于科研通互助平台的介绍 2111801
邀请新用户注册赠送积分活动 2052194