ArticleFrontiers in physiology2012
Linking Inflammation, Cardiorespiratory Variability, and Neural Control in Acute Inflammation via Computational Modeling.
Article in Frontiers in physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed, 44 citations in OpenAlex.
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- Light-induced synchronization of the SCN coupled oscillators and implications for entraining the HPA axis.Frontiers in endocrinology · 2022Article
- Light entrainment of the SCN circadian clock and implications for personalized alterations of corticosterone rhythms in shift work and jet lag.Scientific reports · 2021Article
- Allostatic adaptation and personalized physiological trade-offs in the circadian regulation of the HPA axis: A mathematical modeling approach.Scientific reports · 2019Article
- On the analysis of complex biological supply chains: From Process Systems Engineering to Quantitative Systems Pharmacology.Computers & chemical engineering · 2017Article
- Kölliker-Fuse nuclei regulate respiratory rhythm variability via a gain-control mechanism.American journal of physiology. Regulatory, integrative and comparative physiology · 2017Article
- Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine: A Multidisciplinary Perspective.Annals of biomedical engineering · 2016Review
- Modeling and Hemofiltration Treatment of Acute Inflammation.Processes (Basel, Switzerland) · 2016Article
- Physiologic variability at the verge of systemic inflammation: multiscale entropy of heart rate variability is affected by very low doses of endotoxin.Shock (Augusta, Ga.) · 2015Article
- Respiratory modulation of sympathetic activity is attenuated in adult rats conditioned with chronic hypobaric hypoxia.Respiratory physiology & neurobiology · 2015Article
- A Chemical Engineer's Perspective on Health and Disease.Computers & chemical engineering · 2014Article
- From data patterns to mechanistic models in acute critical illness.Journal of critical care · 2014Review
- On heart rate variability and autonomic activity in homeostasis and in systemic inflammation.Mathematical biosciences · 2014Article
- Removal of inflammatory ascites is associated with dynamic modification of local and systemic inflammation along with prevention of acute lung injury: in vivo and in silico studies.Shock (Augusta, Ga.) · 2014Article
- Systems biology approaches to understanding the cause and treatment of heart, lung, blood, and sleep disorders.Frontiers in physiology · 2014Article
- Translational applications of evaluating physiologic variability in human endotoxemia.Journal of clinical monitoring and computing · 2013Review
- In silico modeling: methods and applications to trauma and sepsis.Critical care medicine · 2013Review
- Predictive monitoring for early detection of sepsis in neonatal ICU patients.Current opinion in pediatrics · 2013Review
Corrections and comments
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Authors and funding
11 authors at 8 institutions in 1 country.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.