Dynamical network biomarkers: Theory and applications
Dynamical network biomarkers: Theory and applications
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动态网络生物标志物：理论与应用
DOI：
10.1016/j.gene.2021.145997
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发表时间：
2021-10-22
期刊：
影响因子：
3.5
通讯作者：
Chen, Luonan
中科院分区：
文献类型：
--
作者：
Aihara, Kazuyuki;Liu, Rui;Chen, Luonan
本文综述了动态网络生物标志物（DNB）的理论及其在现代医学和传统医学中的应用。我们表明，组学数据，如基因/蛋白质表达谱，可以有效地用于检测疾病前的状态，从健康状态到疾病状态的关键过渡之前，通过使用DNB理论。拥有大生物数据的DNB理论有望带来超早期精准和预防医学。
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.