Advances in the development of biomarkers for epilepsy

癫痫 生物标志物 医学 重症监护医学 分子生物标志物 生物信息学 精神科 内科学 生物 生物化学
作者
Asla Pitkänen,Wolfgang Löscher,Annamaria Vezzani,Albert J. Becker,Michele Simonato,Katarzyna Łukasiuk,Olli Gröhn,Jens P. Bankstahl,Alon Friedman,Eleonora Aronica,Jan A. Gorter,Teresa Ravizza,Sanjay M. Sisodiya,Mérab Kokaia,Heinz Beck
出处
期刊:Lancet Neurology [Elsevier BV]
卷期号:15 (8): 843-856 被引量:353
标识
DOI:10.1016/s1474-4422(16)00112-5
摘要

Summary

Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs. Moreover, no treatments exist to prevent the development of epilepsy in those at risk, despite an increasing understanding of the underlying molecular and cellular pathways. One of the major factors that have impeded rapid progress in these areas is the complex and multifactorial nature of epilepsy, and its heterogeneity. Therefore, the vision of developing targeted treatments for epilepsy relies upon the development of biomarkers that allow individually tailored treatment. Biomarkers for epilepsy typically fall into two broad categories: diagnostic biomarkers, which provide information on the clinical status of, and potentially the sensitivity to, specific treatments, and prognostic biomarkers, which allow prediction of future clinical features, such as the speed of progression, severity of epilepsy, development of comorbidities, or prediction of remission or cure. Prognostic biomarkers are of particular importance because they could be used to identify which patients will develop epilepsy and which might benefit from preventive treatments. Biomarker research faces several challenges; however, biomarkers could substantially improve the management of people with epilepsy and could lead to prevention in the right person at the right time, rather than just symptomatic treatment.
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
HR112发布了新的文献求助10
刚刚
slx发布了新的文献求助20
刚刚
隐形曼青应助JiaY采纳,获得10
刚刚
haojiewu完成签到,获得积分10
刚刚
一袋米抗几楼完成签到,获得积分10
1秒前
无情的哑铃完成签到,获得积分10
1秒前
JamesPei应助无限的妖妖采纳,获得10
1秒前
1秒前
xiaoming完成签到,获得积分10
1秒前
orixero应助飞快的笑晴采纳,获得10
2秒前
Herr_Zheng发布了新的文献求助10
2秒前
nano_yan完成签到,获得积分10
2秒前
学习使我快乐完成签到,获得积分10
3秒前
赘婿应助俏皮的灵珊采纳,获得10
3秒前
3秒前
宋十一完成签到,获得积分10
4秒前
4秒前
4秒前
4秒前
yqq完成签到,获得积分10
5秒前
5秒前
wjr完成签到,获得积分10
5秒前
少年梦发布了新的文献求助10
5秒前
5秒前
YOLO发布了新的文献求助30
5秒前
pupu完成签到,获得积分10
5秒前
眉毛妖怪完成签到,获得积分10
6秒前
Jasper应助大王采纳,获得10
6秒前
catherine完成签到,获得积分10
6秒前
Owen应助wangyuan123采纳,获得100
6秒前
6秒前
7秒前
aspas发布了新的文献求助20
7秒前
洋洋羊完成签到,获得积分10
7秒前
彩虹捕手发布了新的文献求助10
8秒前
所所应助知还采纳,获得10
8秒前
8秒前
Akim应助顾盛男采纳,获得10
9秒前
yu完成签到,获得积分10
9秒前
9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
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
Positive Obsession: The Life and Times of Octavia E. Butler 500
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 7697434
求助须知:如何正确求助?哪些是违规求助? 9257498
关于积分的说明 20008705
捐赠科研通 7272106
什么是DOI,文献DOI怎么找? 3293080
关于科研通互助平台的介绍 2448568
邀请新用户注册赠送积分活动 2299015