感染性休克早期促炎性和抗炎性细胞因子的动力学模型。

Q2 Medicine In Silico Biology Pub Date : 2020-01-01 DOI:10.3233/ISB-200474
J Tallon, B Browning, F Couenne, C Bordes, F Venet, P Nony, F Gueyffier, V Moucadel, G Monneret, M Tayakout-Fayolle
{"title":"感染性休克早期促炎性和抗炎性细胞因子的动力学模型。","authors":"J Tallon,&nbsp;B Browning,&nbsp;F Couenne,&nbsp;C Bordes,&nbsp;F Venet,&nbsp;P Nony,&nbsp;F Gueyffier,&nbsp;V Moucadel,&nbsp;G Monneret,&nbsp;M Tayakout-Fayolle","doi":"10.3233/ISB-200474","DOIUrl":null,"url":null,"abstract":"<p><p>A dynamical model of the pathophysiological behaviors of IL18 and IL10 cytokines with their receptors is tested against data for the case of early sepsis. The proposed approach considers the surroundings (organs and bone marrow) and the different subsystems (cells and cyctokines). The interactions between blood cells, cytokines and the surroundings are described via mass balances. Cytokines are adsorbed onto associated receptors at the cell surface. The adsorption is described by the Langmuir model and gives rise to the production of more cytokines and associated receptors inside the cell. The quantities of pro and anti-inflammatory cytokines present in the body are combined to give global information via an inflammation level function which describes the patient's state. Data for parameter estimation comes from the Sepsis 48 H database. Comparisons between patient data and simulations are presented and are in good agreement. For the IL18/IL10 cytokine pair, 5 key parameters have been found. They are linked to pro-inflammatory IL18 cytokine and show that the early sepsis is driven by components of inflammatory character.</p>","PeriodicalId":39379,"journal":{"name":"In Silico Biology","volume":"14 1-2","pages":"101-121"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/ISB-200474","citationCount":"3","resultStr":"{\"title\":\"Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock.\",\"authors\":\"J Tallon,&nbsp;B Browning,&nbsp;F Couenne,&nbsp;C Bordes,&nbsp;F Venet,&nbsp;P Nony,&nbsp;F Gueyffier,&nbsp;V Moucadel,&nbsp;G Monneret,&nbsp;M Tayakout-Fayolle\",\"doi\":\"10.3233/ISB-200474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>A dynamical model of the pathophysiological behaviors of IL18 and IL10 cytokines with their receptors is tested against data for the case of early sepsis. The proposed approach considers the surroundings (organs and bone marrow) and the different subsystems (cells and cyctokines). The interactions between blood cells, cytokines and the surroundings are described via mass balances. Cytokines are adsorbed onto associated receptors at the cell surface. The adsorption is described by the Langmuir model and gives rise to the production of more cytokines and associated receptors inside the cell. The quantities of pro and anti-inflammatory cytokines present in the body are combined to give global information via an inflammation level function which describes the patient's state. Data for parameter estimation comes from the Sepsis 48 H database. Comparisons between patient data and simulations are presented and are in good agreement. For the IL18/IL10 cytokine pair, 5 key parameters have been found. They are linked to pro-inflammatory IL18 cytokine and show that the early sepsis is driven by components of inflammatory character.</p>\",\"PeriodicalId\":39379,\"journal\":{\"name\":\"In Silico Biology\",\"volume\":\"14 1-2\",\"pages\":\"101-121\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3233/ISB-200474\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"In Silico Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/ISB-200474\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"In Silico Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/ISB-200474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 3

摘要

IL18和IL10细胞因子及其受体的病理生理行为的动力学模型是针对早期败血症病例的数据进行测试的。该方法考虑了周围环境(器官和骨髓)和不同的子系统(细胞和细胞因子)。血细胞、细胞因子和周围环境之间的相互作用通过质量平衡来描述。细胞因子被吸附在细胞表面的相关受体上。Langmuir模型描述了这种吸附,并在细胞内产生更多的细胞因子和相关受体。机体中存在的促炎性和抗炎性细胞因子的数量结合起来,通过炎症水平功能提供全局信息,该功能描述了患者的状态。参数估计数据来自败血症48 H数据库。在病人数据和模拟之间的比较提出,并在很好的协议。对于IL18/IL10细胞因子对,我们发现了5个关键参数。它们与促炎il - 18细胞因子有关,表明早期败血症是由炎症性成分驱动的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock.

A dynamical model of the pathophysiological behaviors of IL18 and IL10 cytokines with their receptors is tested against data for the case of early sepsis. The proposed approach considers the surroundings (organs and bone marrow) and the different subsystems (cells and cyctokines). The interactions between blood cells, cytokines and the surroundings are described via mass balances. Cytokines are adsorbed onto associated receptors at the cell surface. The adsorption is described by the Langmuir model and gives rise to the production of more cytokines and associated receptors inside the cell. The quantities of pro and anti-inflammatory cytokines present in the body are combined to give global information via an inflammation level function which describes the patient's state. Data for parameter estimation comes from the Sepsis 48 H database. Comparisons between patient data and simulations are presented and are in good agreement. For the IL18/IL10 cytokine pair, 5 key parameters have been found. They are linked to pro-inflammatory IL18 cytokine and show that the early sepsis is driven by components of inflammatory character.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
In Silico Biology
In Silico Biology Computer Science-Computational Theory and Mathematics
CiteScore
2.20
自引率
0.00%
发文量
1
期刊介绍: The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious.
期刊最新文献
Modelling speciation: Problems and implications. Where Do CABs Exist? Verification of a specific region containing concave Actin Bundles (CABs) in a 3-Dimensional confocal image. scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data. Modeling and characterization of inter-individual variability in CD8 T cell responses in mice. Cancer immunoediting: A game theoretical approach.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1