ArticlePLoS computational biology2012
Virtual patients and sensitivity analysis of the Guyton model of blood pressure regulation: towards individualized models of whole-body physiology.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Advancing precision medicine therapeutics for Parkinson's utilizing a shared quantitative systems pharmacology model and framework.Frontiers in systems biology · 2024Article
- Impact of sex and pathophysiology on optimal drug choice in hypertensive rats: quantitative insights for precision medicine.iScience · 2021Article
- Thoroughly Calibrated Modular Agent-Based Model of the Human Cardiovascular and Renal Systems for Blood Pressure Regulation in Health and Disease.Frontiers in physiology · 2021Article
- Creation and application of virtual patient cohorts of heart models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Practical Use of Regularization in Individualizing a Mathematical Model of Cardiovascular Hemodynamics Using Scarce Data.Frontiers in physiology · 2020Article
- Arterial Hypertension and Unusual Ascending Aortic Dilatation in a Neonate With Acute Kidney Injury: Mechanistic Computer Modeling.Frontiers in physiology · 2019Article
- The Virtual Anemia Trial: An Assessment of Model-Based In Silico Clinical Trials of Anemia Treatment Algorithms in Patients With Hemodialysis.CPT: pharmacometrics & systems pharmacology · 2018Article
- Simulating a virtual population's sensitivity to salt and uninephrectomy.Interface focus · 2018Article
- A note regarding the mathematical treatment of a class of steady-state compartmental models of the circulation.Physiological reports · 2016Article
- Implementation of a model of bodily fluids regulation.Acta biotheoretica · 2015Article
- Bridging Systems Medicine and Patient Needs.CPT: pharmacometrics & systems pharmacology · 2015Review
- An in-silico model of lipoprotein metabolism and kinetics for the evaluation of targets and biomarkers in the reverse cholesterol transport pathway.PLoS computational biology · 2014Article
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6 authors.
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Abstract
Mathematical models that integrate multi-scale physiological data can offer insight into physiological and pathophysiological function, and may eventually assist in individualized predictive medicine. We present a methodology for performing systematic analyses of multi-parameter interactions in such complex, multi-scale models. Human physiology models are often based on or inspired by Arthur Guyton's whole-body circulatory regulation model. Despite the significance of this model, it has not been the subject of a systematic and comprehensive sensitivity study. Therefore, we use this model as a case study for our methodology. Our analysis of the Guyton model reveals how the multitude of model parameters combine to affect the model dynamics, and how interesting combinations of parameters may be identified. It also includes a "virtual population" from which "virtual individuals" can be chosen, on the basis of exhibiting conditions similar to those of a real-world patient. This lays the groundwork for using the Guyton model for in silico exploration of pathophysiological states and treatment strategies. The results presented here illustrate several potential uses for the entire dataset of sensitivity results and the "virtual individuals" that we have generated, which are included in the supplementary material. More generally, the presented methodology is applicable to modern, more complex multi-scale physiological models.
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