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Insights into the Role of Chemokines Damage-Associated Molecular Patterns and Lymphocyte-Derived Mediators from Computational Models of Trauma-Induced Inflammation

机译:创伤诱导炎症模型的趋化因子损伤相关分子模式和淋巴细胞衍生介体作用的见解。

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摘要

>Significance: Traumatic injury elicits a complex, dynamic, multidimensional inflammatory response that is intertwined with complications such as multiple organ dysfunction and nosocomial infection. The complex interplay between inflammation and physiology in critical illness remains a challenge for translational research, including the extrapolation to human disease from animal models. >Recent Advances: Over the past decade, we and others have attempted to decipher the biocomplexity of inflammation in these settings of acute illness, using computational models to improve clinical translation. In silico modeling has been suggested as a computationally based framework for integrating data derived from basic biology experiments as well as preclinical and clinical studies. >Critical Issues: Extensive studies in cells, mice, and human blunt trauma patients have led us to suggest (i) that while an adequate level of inflammation is required for healing post-trauma, inflammation can be harmful when it becomes self-sustaining via a damage-associated molecular pattern/Toll-like receptor-driven feed-forward circuit; (ii) that chemokines play a central regulatory role in driving either self-resolving or self-maintaining inflammation that drives the early activation of both classical innate and more recently recognized lymphoid pathways; and (iii) the presence of multiple thresholds and feedback loops, which could significantly affect the propagation of inflammation across multiple body compartments. >Future Directions: These insights from data-driven models into the primary drivers and interconnected networks of inflammation have been used to generate mechanistic computational models. Together, these models may be used to gain basic insights as well as serving to help define novel biomarkers and therapeutic targets. Antioxid. Redox Signal. 23, 1370–1387.
机译:>意义:外伤引起复杂的,动态的,多维的炎症反应,并伴有诸如多器官功能障碍和医院感染等并发症。危重病中炎症与生理之间复杂的相互作用仍然是转化研究(包括从动物模型推断人类疾病)的挑战。 >最近的进展:在过去的十年中,我们和其他人试图使用计算模型来改善临床翻译,从而在这些急性疾病的环境中破译炎症的生物复杂性。计算机模拟已经被建议作为一种基于计算的框架,用于整合从基础生物学实验以及临床前和临床研究中获得的数据。 >关键问题:对细胞,小鼠和人类钝性创伤患者的广泛研究使我们建议(i)尽管创伤后愈合需要足够水平的炎症,但当炎症可能对人体有害时通过与损伤相关的分子模式/ Toll样受体驱动的前馈电路,它可以自我维持; (ii)趋化因子在驱动自我解决或自我维持的炎症中起着核心的调节作用,从而促使经典先天和较新近认识到的淋巴途径的早期激活; (iii)存在多个阈值和反馈回路,这可能会严重影响炎症在多个机舱内的传播。 >未来发展方向:这些从数据驱动模型到主要驱动因素和相互关联的炎症网络的见解已用于生成机械计算模型。这些模型一起可用于获得基本见识,并有助于定义新颖的生物标记物和治疗靶标。抗氧化。氧化还原信号。 23,1370年至1387年。

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