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
jngong发布了新的文献求助30
刚刚
悠狸完成签到,获得积分10
刚刚
六六发布了新的文献求助20
刚刚
cyh完成签到,获得积分10
1秒前
脑洞疼应助Inory007采纳,获得10
1秒前
sun发布了新的文献求助10
1秒前
烟花应助caoyy采纳,获得10
1秒前
hh完成签到,获得积分10
2秒前
2秒前
光影之主发布了新的文献求助10
2秒前
hanwang完成签到,获得积分20
2秒前
yingguan发布了新的文献求助20
3秒前
3秒前
寒冷的绿蕊完成签到,获得积分10
4秒前
在水一方应助哈皮皮采纳,获得10
5秒前
caochuang发布了新的文献求助10
5秒前
香蕉觅云应助由于采纳,获得10
5秒前
辛幼安完成签到,获得积分10
6秒前
不会发芽的土豆泥完成签到 ,获得积分10
6秒前
顺利毕业完成签到,获得积分20
7秒前
顾村完成签到,获得积分10
7秒前
8秒前
科研通AI2S应助caidun采纳,获得10
8秒前
8秒前
xjq发布了新的文献求助10
9秒前
dan完成签到 ,获得积分10
9秒前
9秒前
御风善行完成签到,获得积分10
11秒前
研友_LNM9r8应助faiting采纳,获得10
12秒前
光影之主完成签到,获得积分10
12秒前
雾扰发布了新的文献求助50
12秒前
13秒前
简单若风发布了新的文献求助10
13秒前
香蕉觅云应助小郭同学采纳,获得30
14秒前
雪下的地完成签到,获得积分10
14秒前
永野芽郁发布了新的文献求助10
14秒前
jngong完成签到,获得积分10
14秒前
Holy完成签到,获得积分10
15秒前
15秒前
科研废物完成签到,获得积分10
16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
The Organometallic Chemistry of the Transition Metals 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6442564
求助须知:如何正确求助?哪些是违规求助? 8256376
关于积分的说明 17581672
捐赠科研通 5501052
什么是DOI,文献DOI怎么找? 2900594
邀请新用户注册赠送积分活动 1877550
关于科研通互助平台的介绍 1717279