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本文引用的文献

1
Hybrid equation/agent-based model of ischemia-induced hyperemia and pressure ulcer formation predicts greater propensity to ulcerate in subjects with spinal cord injury.缺血性充血和压疮形成的混合方程/基于代理的模型预测脊髓损伤患者更易发生溃疡。
PLoS Comput Biol. 2013;9(5):e1003070. doi: 10.1371/journal.pcbi.1003070. Epub 2013 May 16.
2
Sepsis: from pattern to mechanism and back.脓毒症:从模式到机制,再回归模式
Crit Rev Biomed Eng. 2012;40(4):341-51. doi: 10.1615/critrevbiomedeng.v40.i4.80.
3
Computational and systems biology in trauma and sepsis: current state and future perspectives.创伤与脓毒症中的计算生物学和系统生物学:现状与未来展望
Int J Burns Trauma. 2012;2(1):1-10. Epub 2012 Feb 1.
4
Linking Inflammation, Cardiorespiratory Variability, and Neural Control in Acute Inflammation via Computational Modeling.通过计算建模将急性炎症中的炎症、心肺变异性和神经控制联系起来。
Front Physiol. 2012 Jul 2;3:222. doi: 10.3389/fphys.2012.00222. eCollection 2012.
5
Hemoadsorption reprograms inflammation in experimental gram-negative septic peritonitis: insights from in vivo and in silico studies.血液吸附通过体内和计算机模拟研究重编程实验性革兰氏阴性菌脓毒症腹膜炎中的炎症反应。
Mol Med. 2012 Dec 20;18(1):1366-74. doi: 10.2119/molmed.2012.00106.
6
Network topologies and dynamics leading to endotoxin tolerance and priming in innate immune cells.导致固有免疫细胞内毒素耐受和致敏的网络拓扑结构和动力学。
PLoS Comput Biol. 2012;8(5):e1002526. doi: 10.1371/journal.pcbi.1002526. Epub 2012 May 17.
7
Toward computational identification of multiscale "tipping points" in acute inflammation and multiple organ failure.针对急性炎症和多器官衰竭的多尺度“临界点”的计算识别。
Ann Biomed Eng. 2012 Nov;40(11):2414-24. doi: 10.1007/s10439-012-0565-9. Epub 2012 Apr 21.
8
A two-compartment mathematical model of endotoxin-induced inflammatory and physiologic alterations in swine.内毒素诱导猪炎症和生理改变的双室数学模型。
Crit Care Med. 2012 Apr;40(4):1052-63. doi: 10.1097/CCM.0b013e31823e986a.
9
Ensemble models of neutrophil trafficking in severe sepsis.严重脓毒症中性粒细胞迁移的集成模型。
PLoS Comput Biol. 2012;8(3):e1002422. doi: 10.1371/journal.pcbi.1002422. Epub 2012 Mar 8.
10
Clinical review: sepsis and septic shock--the potential of gene arrays.临床综述:脓毒症和感染性休克——基因芯片的潜力。
Crit Care. 2012 Feb 8;16(1):204. doi: 10.1186/cc10537.

计算机模拟:创伤和脓毒症的方法和应用。

In silico modeling: methods and applications to trauma and sepsis.

机构信息

Department of Surgery, University of Pittsburgh, Pittsburgh, PA, USA.

出版信息

Crit Care Med. 2013 Aug;41(8):2008-14. doi: 10.1097/CCM.0b013e31829a6eb4.

DOI:10.1097/CCM.0b013e31829a6eb4
PMID:23863232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3722589/
Abstract

OBJECTIVES

To familiarize clinicians with advances in computational disease modeling applied to trauma and sepsis.

DATA SOURCES

PubMed search and review of relevant medical literature.

SUMMARY

Definitions, key methods, and applications of computational modeling to trauma and sepsis are reviewed.

CONCLUSIONS

Computational modeling of inflammation and organ dysfunction at the cellular, organ, whole-organism, and population levels has suggested a positive feedback cycle of inflammation → damage → inflammation that manifests via organ-specific inflammatory switching networks. This structure may manifest as multicompartment "tipping points" that drive multiple organ dysfunction. This process may be amenable to rational inflammation reprogramming.

摘要

目的

使临床医生熟悉应用于创伤和脓毒症的计算疾病建模的进展。

资料来源

PubMed 搜索和相关医学文献的综述。

总结

本文回顾了计算建模在创伤和脓毒症中的定义、关键方法和应用。

结论

细胞、器官、全器官和人群水平的炎症和器官功能障碍的计算建模表明,炎症→损伤→炎症的正反馈循环通过器官特异性炎症切换网络表现出来。这种结构可能表现为多隔室“转折点”,导致多器官功能障碍。这一过程可能适合进行合理的炎症重编程。