Dynamical network biomarkers: Theory and applications

被引：39
|
作者：
Aihara, Kazuyuki [1 ]
Liu, Rui [2 ,3 ]
Koizumi, Keiichi [4 ,5 ]
Liu, Xiaoping [6 ,7 ]
Chen, Luonan [6 ,7 ,8 ,9 ]
机构：
[1] Univ Tokyo, Int Res Ctr Neurointelligence WPI IRCN, Bunkyo Ku, Tokyo 1130033, Japan
[2] South China Univ Technol, Sch Math, Guangzhou 510640, Peoples R China
[3] Pazhou Lab, Guangzhou 510330, Peoples R China
[4] Univ Toyama, Inst Nat Med, Div Kampo Diagnost, Toyama, Japan
[5] Univ Toyama, Inst Nat Med, Div Biosci, Sect Host Def,Lab Drug Discovery & Dev Predis, Toyama, Japan
[6] Chinese Acad Sci, Univ Chinese Acad Sci, Hangzhou Inst Adv Study, Key Lab Syst Biol, Hangzhou 310024, Peoples R China
[7] Chinese Acad Sci, Univ Chinese Acad Sci, Hangzhou Inst Adv Study, Key Lab Syst Hlth Sci Zhejiang Prov, Hangzhou 310024, Peoples R China
[8] Chinese Acad Sci, Ctr Excellence Mol Cell Sci, Shanghai Inst Biochem & Cell Biol, State Key Lab Cell Biol, Shanghai 200031, Peoples R China
[9] Chinese Acad Sci, Ctr Excellence Anim Evolut & Genet, Kunming 650223, Yunnan, Peoples R China
来源：
GENE | 2022年 / 808卷
关键词：
Dynamical network biomarker; Healthy state; Pre-disease state; Disease state; Bifurcation; Tipping point; Early warning signals; Ultra-early medicine; EARLY-WARNING SIGNALS; TIPPING POINT; TRANSITION; OBESITY; MODELS; MOUSE; STATE;
D O I：
10.1016/j.gene.2021.145997
中图分类号：
Q3 [遗传学];
学科分类号：
071007 ; 090102 ;
摘要：
This paper reviews theory of DNB (Dynamical Network Biomarkers) and its applications including both modern medicine and traditional medicine. We show that omics data such as gene/protein expression profiles can be effectively used to detect pre-disease states before critical transitions from healthy states to disease states by using the DNB theory. The DNB theory with big biological data is expected to lead to ultra-early precision and preventive medicine.
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收藏
页数：10
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