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内毒素挑战期间炎症-热-痛-心血管相互作用的生理模型。

A physiological model of the inflammatory-thermal-pain-cardiovascular interactions during an endotoxin challenge.

机构信息

Department of Mathematics, North Carolina State University, Raleigh, NC, USA.

School of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ, USA.

出版信息

J Physiol. 2021 Mar;599(5):1459-1485. doi: 10.1113/JP280883. Epub 2021 Feb 11.

Abstract

KEY POINTS

Inflammation in response to bacterial endotoxin challenge impacts physiological functions, including cardiovascular, thermal and pain dynamics, although the mechanisms are poorly understood. We develop an innovative mathematical model incorporating interaction pathways between inflammation and physiological processes observed in response to an endotoxin challenge. We calibrate the model to individual data from 20 subjects in an experimental study of the human inflammatory and physiological responses to endotoxin, and we validate the model against human data from an independent study. Using the model to simulate patient responses to different treatment modalities reveals that a multimodal treatment combining several therapeutic strategies gives the best recovery outcome.

ABSTRACT

Uncontrolled, excessive production of pro-inflammatory mediators from immune cells and traumatized tissues can cause systemic inflammatory conditions such as sepsis, one of the ten leading causes of death in the USA, and one of the three leading causes of death in the intensive care unit. Understanding how inflammation affects physiological processes, including cardiovascular, thermal and pain dynamics, can improve a patient's chance of recovery after an inflammatory event caused by surgery or a severe infection. Although the effects of the autonomic response on the inflammatory system are well-known, knowledge about the reverse interaction is lacking. The present study develops a mathematical model analyzing the inflammatory system's interactions with thermal, pain and cardiovascular dynamics in response to a bacterial endotoxin challenge. We calibrate the model with individual data from an experimental study of the inflammatory and physiological responses to a one-time administration of endotoxin in 20 healthy young men and validate it against data from an independent endotoxin study. We use simulation to explore how various treatments help patients exposed to a sustained pathological input. The treatments explored include bacterial endotoxin adsorption, antipyretics and vasopressors, as well as combinations of these. Our findings suggest that the most favourable recovery outcome is achieved by a multimodal strategy, combining all three interventions to simultaneously remove endotoxin from the body and alleviate symptoms caused by the immune system as it fights the infection.

摘要

要点

细菌内毒素刺激引起的炎症反应会影响生理功能,包括心血管、体温和疼痛动态,但其中的机制尚不清楚。我们开发了一种创新的数学模型,将炎症与内毒素刺激下观察到的生理过程之间的相互作用途径纳入其中。我们根据 20 名健康年轻男性单次接受内毒素后炎症和生理反应的实验研究中的个体数据对模型进行校准,并使用来自独立研究的人类数据对模型进行验证。使用该模型模拟不同治疗方式对患者的影响表明,联合多种治疗策略的多模式治疗可以带来最佳的恢复效果。

摘要

免疫细胞和受损组织过度产生促炎介质会导致全身炎症反应,如脓毒症,这是美国十大死亡原因之一,也是重症监护病房的三大死亡原因之一。了解炎症如何影响生理过程,包括心血管、体温和疼痛动态,可以提高患者在手术或严重感染引起的炎症事件后的恢复机会。尽管自主反应对炎症系统的影响是众所周知的,但对相反相互作用的了解却很有限。本研究开发了一种数学模型,分析了细菌内毒素刺激下炎症系统与体温、疼痛和心血管动力学的相互作用。我们根据 20 名健康年轻男性单次接受内毒素后炎症和生理反应的实验研究中的个体数据对模型进行校准,并使用来自独立内毒素研究的数据对模型进行验证。我们使用模拟来探索各种治疗方法如何帮助暴露于持续病理输入的患者。所探索的治疗方法包括细菌内毒素吸附、解热药和血管加压药,以及这些方法的组合。我们的研究结果表明,最有利的恢复结果是通过多模式策略实现的,即联合使用所有三种干预措施,从体内去除内毒素,并缓解免疫系统对抗感染时引起的症状。

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