对炎症“时钟”进行逆向工程:从计算建模到理性重置

Q3 Pharmacology, Toxicology and Pharmaceutics Drug Discovery Today: Disease Models Pub Date : 2016-12-01 DOI:10.1016/j.ddmod.2017.03.001
Yoram Vodovotz
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引用次数: 2

摘要

适当调节的炎症是体内平衡的核心,在创伤性损伤、出血和败血症后变得失调。炎症是一个动态的、复杂的系统,它的功能就像一个模拟时钟,不能简单地从它的部件(数据)清单中辨别出来。数据驱动的计算建模的动态方法可以被认为是“时钟”的“齿轮”和“指针”,并且已经导致了对主要驱动因素、动态网络、反馈和调节开关的见解。与此同时,机械计算模型给出了炎症“时钟”如何工作的抽象感觉,从而产生了危重个体和群体的计算机模型。整合数据驱动和机制建模可能会通过模型驱动的精准医学为炎症的合理“重置”指明道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Reverse engineering the inflammatory “clock”: from computational modeling to rational resetting

Properly-regulated inflammation is central to homeostasis, and becomes dysregulated after traumatic injury, hemorrhage, and sepsis. Inflammation is a dynamic, complex system whose function, like that of an analog clock, cannot be discerned simply from a laundry list of its parts (data). Dynamic approaches to data-driven computational modeling can be thought of as the “gears” and “hands” of the “clock,” and have led to insights regarding principal drivers, dynamic networks, feedbacks, and regulatory switches. In parallel, mechanistic computational models have given an abstracted sense of how the inflammatory “clock” works, leading to in silico models of critically ill individuals and populations. Integrating data-driven and mechanistic modeling may point the way to a rational “resetting” of inflammation via model-driven precision medicine.

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来源期刊
Drug Discovery Today: Disease Models
Drug Discovery Today: Disease Models Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
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期刊介绍: Drug Discovery Today: Disease Models discusses the non-human experimental models through which inference is drawn regarding the molecular aetiology and pathogenesis of human disease. It provides critical analysis and evaluation of which models can genuinely inform the research community about the direct process of human disease, those which may have value in basic toxicology, and those which are simply designed for effective expression and raw characterisation.
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