Opportunities and barriers in omics-based biomarker discovery for steatotic liver diseases

组学 生物标志物发现 生物标志物 计算生物学 医学 数据科学 生物信息学 生物 计算机科学 蛋白质组学 遗传学 基因
作者
Maja Thiele,Ida Falk Villesen,Lili Niu,Stine Johansen,Karolina Sulek,Suguru Nishijima,Lore Van Espen,M. Keller,Mads Israelsen,Tommi Suvitaival,Andressa de Zawadzki,Helene Bæk Juel,Maximilian Joseph Brol,Sara Stinson,Yun Huang,Maria Camilla Alvarez Silva,Michael Kuhn,Ema Anastasiadou,Diana Julie Leeming,M.A. Karsdal
出处
期刊:Journal of Hepatology [Elsevier BV]
卷期号:81 (2): 345-359 被引量:30
标识
DOI:10.1016/j.jhep.2024.03.035
摘要

The rising prevalence of liver diseases related to obesity and excessive use of alcohol is fuelling an increasing demand for accurate biomarkers aimed at community screening, diagnosis of steatohepatitis and significant fibrosis, monitoring, prognostication and prediction of treatment efficacy. Breakthroughs in omics methodologies and the power of bioinformatics have created an excellent opportunity to apply technological advances to clinical needs, for instance in the development of precision biomarkers for personalised medicine. Via omics technologies, biological processes from the genes to circulating protein, as well as the microbiome – including bacteria, viruses and fungi, can be investigated on an axis. However, there are important barriers to omics-based biomarker discovery and validation, including the use of semi-quantitative measurements from untargeted platforms, which may exhibit high analytical, inter- and intra-individual variance. Standardising methods and the need to validate them across diverse populations presents a challenge, partly due to disease complexity and the dynamic nature of biomarker expression at different disease stages. Lack of validity causes lost opportunities when studies fail to provide the knowledge needed for regulatory approvals, all of which contributes to a delayed translation of these discoveries into clinical practice. While no omics-based biomarkers have matured to clinical implementation, the extent of data generated has enabled the hypothesis-free discovery of a plethora of candidate biomarkers that warrant further validation. To explore the many opportunities of omics technologies, hepatologists need detailed knowledge of commonalities and differences between the various omics layers, and both the barriers to and advantages of these approaches.
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
刘庚灵完成签到,获得积分10
刚刚
1秒前
年年完成签到,获得积分10
1秒前
IM元发布了新的文献求助10
2秒前
新斯的明完成签到,获得积分10
2秒前
baihualin完成签到,获得积分10
3秒前
kotoko发布了新的文献求助10
4秒前
爱学习完成签到,获得积分10
4秒前
单薄紫菱完成签到,获得积分10
4秒前
5秒前
胜似闲庭信步完成签到,获得积分10
5秒前
归零者发布了新的文献求助10
5秒前
汉堡包应助77的gtr采纳,获得10
6秒前
6秒前
头太圆完成签到 ,获得积分20
7秒前
马小马发布了新的文献求助10
8秒前
jm完成签到,获得积分10
9秒前
科研通AI6.4应助虚心之玉采纳,获得50
9秒前
cherish完成签到,获得积分10
11秒前
11秒前
wanglqn发布了新的文献求助10
11秒前
快乐大门发布了新的文献求助10
12秒前
14秒前
14秒前
土豆发布了新的文献求助10
15秒前
16秒前
李悟尔发布了新的文献求助10
16秒前
Lucas应助Mr曹采纳,获得10
17秒前
18秒前
ziiiiiii7发布了新的文献求助10
19秒前
情怀应助fengdengjin采纳,获得10
19秒前
19秒前
Vincent_77发布了新的文献求助10
19秒前
桐桐应助马小马采纳,获得10
20秒前
苏11完成签到,获得积分20
20秒前
20秒前
21秒前
SNAKE发布了新的文献求助10
21秒前
22秒前
yc完成签到,获得积分10
22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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764909
求助须知:如何正确求助?哪些是违规求助? 9309204
关于积分的说明 20309770
捐赠科研通 7349709
什么是DOI,文献DOI怎么找? 3314698
关于科研通互助平台的介绍 2464040
邀请新用户注册赠送积分活动 2329024