Gast ::
| Hauptseite > Publikationsdatenbank > Modeling and Hemofiltration Treatment of Acute Inflammation > print |
| Hauptseite > Publikationsdatenbank > Modeling and Hemofiltration Treatment of Acute Inflammation > print |
| 001 | 825974 | ||
| 005 | 20210129225504.0 | ||
| 024 | 7 | _ | |a 10.3390/pr4040038 |2 doi |
| 024 | 7 | _ | |a 2128/13421 |2 Handle |
| 024 | 7 | _ | |a WOS:000391592700005 |2 WOS |
| 037 | _ | _ | |a FZJ-2017-00246 |
| 082 | _ | _ | |a 570 |
| 100 | 1 | _ | |a Parker, Robert |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Modeling and Hemofiltration Treatment of Acute Inflammation |
| 260 | _ | _ | |a Basel |c 2016 |b MDPI |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1484139015_30594 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a The body responds to endotoxins by triggering the acute inflammatory response system to eliminate the threat posed by gram-negative bacteria (endotoxin) and restore health. However, an uncontrolled inflammatory response can lead to tissue damage, organ failure, and ultimately death; this is clinically known as sepsis. Mathematical models of acute inflammatory disease have the potential to guide treatment decisions in critically ill patients. In this work, an 8-state (8-D) differential equation model of the acute inflammatory response system to endotoxin challenge was developed. Endotoxin challenges at 3 and 12 mg/kg were administered to rats, and dynamic cytokine data for interleukin (IL)-6, tumor necrosis factor (TNF), and IL-10 were obtained and used to calibrate the model. Evaluation of competing model structures was performed by analyzing model predictions at 3, 6, and 12 mg/kg endotoxin challenges with respect to experimental data from rats. Subsequently, a model predictive control (MPC) algorithm was synthesized to control a hemoadsorption (HA) device, a blood purification treatment for acute inflammation. A particle filter (PF) algorithm was implemented to estimate the full state vector of the endotoxemic rat based on time series cytokine measurements. Treatment simulations show that: (i) the apparent primary mechanism of HA efficacy is white blood cell (WBC) capture, with cytokine capture a secondary benefit; and (ii) differential filtering of cytokines and WBC does not provide substantial improvement in treatment outcomes vs. existing HA devices. |
| 536 | _ | _ | |a 572 - (Dys-)function and Plasticity (POF3-572) |0 G:(DE-HGF)POF3-572 |c POF3-572 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Hogg, Justin |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Roy, Anirban |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Kellum, John |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Rimmelé, Thomas |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Daun-Gruhn, Silvia |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Fedorchak, Morgan |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Valenti, Isabella |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Federspiel, William |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Rubin, Jonathan |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Vodovotz, Yoram |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Lagoa, Claudio |0 P:(DE-HGF)0 |b 11 |
| 700 | 1 | _ | |a Clermont, Gilles |0 P:(DE-HGF)0 |b 12 |
| 773 | _ | _ | |a 10.3390/pr4040038 |g Vol. 4, no. 4, p. 38 - |0 PERI:(DE-600)2720994-5 |n 4 |p 38 - |t Processes |v 4 |y 2016 |x 2227-9717 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/825974/files/processes-04-00038.pdf |
| 856 | 4 | _ | |y OpenAccess |x icon |u https://juser.fz-juelich.de/record/825974/files/processes-04-00038.gif?subformat=icon |
| 856 | 4 | _ | |y OpenAccess |x icon-1440 |u https://juser.fz-juelich.de/record/825974/files/processes-04-00038.jpg?subformat=icon-1440 |
| 856 | 4 | _ | |y OpenAccess |x icon-180 |u https://juser.fz-juelich.de/record/825974/files/processes-04-00038.jpg?subformat=icon-180 |
| 856 | 4 | _ | |y OpenAccess |x icon-640 |u https://juser.fz-juelich.de/record/825974/files/processes-04-00038.jpg?subformat=icon-640 |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/825974/files/processes-04-00038.pdf?subformat=pdfa |
| 909 | C | O | |o oai:juser.fz-juelich.de:825974 |p openaire |p open_access |p driver |p VDB |p dnbdelivery |
| 910 | 1 | _ | |a INM-3 |0 I:(DE-HGF)0 |b 5 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-HGF)0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-572 |2 G:(DE-HGF)POF3-500 |v (Dys-)function and Plasticity |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2016 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0112 |2 StatID |b Emerging Sources Citation Index |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-3-20090406 |k INM-3 |l Kognitive Neurowissenschaften |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)INM-3-20090406 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|