Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling
Sepsis leads to multiple organ failure by engaging catastrophic feedback loops in which stressed tissue evokes an inflammatory response and, in turn, inflammation damages tissue. Manifestations of this maladaptive inflammatory response include cardio-respiratory dysfunction that may be reflected in...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2012-07-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00222/full |
| _version_ | 1818020033098416128 |
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| author | Thomas E. Dick Yaruslav eMolkov Gary eNieman Yee-Hsee eHsieh Frank J. Jacono Frank J. Jacono John eDoyle Jeremy eScheff Steven E. Calvano Ioannis P. Androulakis Gary eAn Yoram eVodovotz Yoram eVodovotz |
| author_facet | Thomas E. Dick Yaruslav eMolkov Gary eNieman Yee-Hsee eHsieh Frank J. Jacono Frank J. Jacono John eDoyle Jeremy eScheff Steven E. Calvano Ioannis P. Androulakis Gary eAn Yoram eVodovotz Yoram eVodovotz |
| author_sort | Thomas E. Dick |
| collection | DOAJ |
| description | Sepsis leads to multiple organ failure by engaging catastrophic feedback loops in which stressed tissue evokes an inflammatory response and, in turn, inflammation damages tissue. Manifestations of this maladaptive inflammatory response include cardio-respiratory dysfunction that may be reflected in reduced heart rate and ventilatory patterns variabilities. We have developed signal-processing algorithms that quantify non-linear deterministic characteristics of variability in biologic signals. Now, coalescing under the aegis of the NIH Computational Biology Program and the Society for Complexity in Acute Illness, two research teams performed iterative experiments and computational modeling on inflammation and cardio-pulmonary dysfunction in sepsis as well as on neural control of respiration and ventilatory pattern variability. These teams, with additional collaborators, have recently formed a multi-institutional, interdisciplinary consortium, whose goal is to delineate the fundamental interrelationship among the inflammatory response, heart rate and ventilatory pattern variability. Multiscale mathematical modeling and complementary physiological experiments will be combined to gain insight into the physiological control structures |
| first_indexed | 2024-04-14T08:00:31Z |
| format | Article |
| id | doaj.art-a429f5a6667748fcb5e90d7600d67221 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-04-14T08:00:31Z |
| publishDate | 2012-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-a429f5a6667748fcb5e90d7600d672212022-12-22T02:04:55ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2012-07-01310.3389/fphys.2012.0022224417Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational ModelingThomas E. Dick0Yaruslav eMolkov1Gary eNieman2Yee-Hsee eHsieh3Frank J. Jacono4Frank J. Jacono5John eDoyle6Jeremy eScheff7Steven E. Calvano8Ioannis P. Androulakis9Gary eAn10Yoram eVodovotz11Yoram eVodovotz12Case Western Reserve University School of MedicineIndiana University - Purdue University IndianapolisUpstate Medical UniversityCase Western Reserve University School of MedicineCase Western Reserve University School of MedicineLouis Stokes Cleveland VA Medical CenterCalifornia Institute of TechnologyRutgers UniversityUniversity of Medicine and Dentistry of New JerseyRutgers UniversityUniversity of ChicagoUniversity of PittsburghMcGowan Institute for Regenerative MedicineSepsis leads to multiple organ failure by engaging catastrophic feedback loops in which stressed tissue evokes an inflammatory response and, in turn, inflammation damages tissue. Manifestations of this maladaptive inflammatory response include cardio-respiratory dysfunction that may be reflected in reduced heart rate and ventilatory patterns variabilities. We have developed signal-processing algorithms that quantify non-linear deterministic characteristics of variability in biologic signals. Now, coalescing under the aegis of the NIH Computational Biology Program and the Society for Complexity in Acute Illness, two research teams performed iterative experiments and computational modeling on inflammation and cardio-pulmonary dysfunction in sepsis as well as on neural control of respiration and ventilatory pattern variability. These teams, with additional collaborators, have recently formed a multi-institutional, interdisciplinary consortium, whose goal is to delineate the fundamental interrelationship among the inflammatory response, heart rate and ventilatory pattern variability. Multiscale mathematical modeling and complementary physiological experiments will be combined to gain insight into the physiological control structureshttp://journal.frontiersin.org/Journal/10.3389/fphys.2012.00222/fullInflammationSepsisHeart rate variabilitymathematical modelNeural controlbreathing pattern variability |
| spellingShingle | Thomas E. Dick Yaruslav eMolkov Gary eNieman Yee-Hsee eHsieh Frank J. Jacono Frank J. Jacono John eDoyle Jeremy eScheff Steven E. Calvano Ioannis P. Androulakis Gary eAn Yoram eVodovotz Yoram eVodovotz Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling Frontiers in Physiology Inflammation Sepsis Heart rate variability mathematical model Neural control breathing pattern variability |
| title | Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling |
| title_full | Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling |
| title_fullStr | Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling |
| title_full_unstemmed | Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling |
| title_short | Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling |
| title_sort | linking inflammation and cardiorespiratory variability in sepsis via computational modeling |
| topic | Inflammation Sepsis Heart rate variability mathematical model Neural control breathing pattern variability |
| url | http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00222/full |
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