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Linking Inflammation, Cardiorespiratory Variability, and Neural Control in Acute Inflammation via Computational Modeling.

Frontiers in physiology | 2012

Acute inflammation leads to 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 pattern 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 between the inflammatory response and physiologic variability. Multi-scale mathematical modeling and complementary physiological experiments will provide insight into autonomic neural mechanisms that may modulate the inflammatory response to sepsis and simultaneously reduce heart rate and ventilatory pattern variabilities associated with sepsis. This approach integrates computational models of neural control of breathing and cardio-respiratory coupling with models that combine inflammation, cardiovascular function, and heart rate variability. The resulting integrated model will provide mechanistic explanations for the phenomena of respiratory sinus-arrhythmia and cardio-ventilatory coupling observed under normal conditions, and the loss of these properties during sepsis. This approach holds the potential of modeling cross-scale physiological interactions to improve both basic knowledge and clinical management of acute inflammatory diseases such as sepsis and trauma.

Pubmed ID: 22783197 RIS Download

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Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: T32 HL007913
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM082974
  • Agency: BLRD VA, United States
    Id: I01 BX000873
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL080926
  • Agency: NHLBI NIH HHS, United States
    Id: R33 HL087379
  • Agency: NHLBI NIH HHS, United States
    Id: R33 HL087340
  • Agency: NHLBI NIH HHS, United States
    Id: R33 HL089082
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM034695
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS069220
  • Agency: NIDDK NIH HHS, United States
    Id: U01 DK072146
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL076157
  • Agency: NHLBI NIH HHS, United States
    Id: R33 HL087377
  • Agency: NIGMS NIH HHS, United States
    Id: P50 GM053789
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM067240

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