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.

引用

页数：10

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