A simulation support system for solving large physiological models on microcomputers

Jp, Montani; Th, Adair; Rl, Summers; Tg, Coleman; Guyton, Arthur C.

doi:10.1016/0020-7101(89)90006-8

Cited by 25 publications

(12 citation statements)

References 7 publications

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“…This was our rationale for adopting the early Guyton et al (1972) model and its extension to acid-base regulation by Ikeda et al (1979) as the initial demonstrators for the core modelling environment. Obviously, ours is neither the first nor the last (re-)implementation of the Guyton models, which were not only implemented with a generic user interface (called MODSIM; see Montani et al 1989), but have also been usefully deployed in a number of contexts, including research on the physiological consequences of weightlessness in manned space flight (White et al 1991(White et al , 2003. An implementation of the Guyton model from the published diagram (Guyton et al 1972) with SIMULINK has recently been published (Kofranek & Rusz 2007), not to mention the current very elaborate and comprehensive Quantitative Human Physiology model at the University of Mississippi, directly descended from the early Guyton models by the colleagues of Guyton (Abram et al 2007).…”

Section: Discussionmentioning

confidence: 99%

SAPHIR: a physiome core model of body fluid homeostasis and blood pressure regulation

Thomas

Baconnier²,

Fontecave³

et al. 2008

Phil. Trans. R. Soc. A.

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We present the current state of the development of the SAPHIR project (a Systems Approach for PHysiological Integration of Renal, cardiac and respiratory function). The aim is to provide an open-source multi-resolution modelling environment that will permit, at a practical level, a plug-and-play construction of integrated systems models using lumped-parameter components at the organ/tissue level while also allowing focus on cellular-or molecular-level detailed sub-models embedded in the larger core model. Thus, an in silico exploration of gene-to-organ-to-organism scenarios will be possible, while keeping computation time manageable. As a first prototype implementation in this environment, we describe a core model of human physiology targeting the short-and long-term regulation of blood pressure, body fluids and homeostasis of the major solutes. In tandem with the development of the core models, the project involves database implementation and ontology development.

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Section: Discussionmentioning

confidence: 99%

SAPHIR: a physiome core model of body fluid homeostasis and blood pressure regulation

Thomas

Baconnier²,

Fontecave³

et al. 2008

Phil. Trans. R. Soc. A.

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“…This model and methodology have previously been used in numerous studies that were intended to provide a more detailed understanding of the physiologic mechanisms involved in common clinical conditions [13–16]. In addition, several versions of this model have been previously demonstrated to accurately predict hemodynamic changes seen during hypotensive states [11,12]. This evidence suggests that the model can be used as a platform for the theoretical analysis of shock states.…”

Section: Methodsmentioning

confidence: 99%

Characterization of the spectrum of hemodynamic profiles in trauma patients with acute neurogenic shock

Summers

Baker

Sterling

et al. 2013

Journal of Critical Care

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Objective Neurogenic shock considered a distributive type of shock secondary to loss of sympathetic outflow to the peripheral vasculature. In this study, we examine the hemodynamic profiles of a series of trauma patients with a diagnosis of neurogenic shock. Methods Hemodynamic data were collected on a series of trauma patients determined to have spinal cord injuries with neurogenic shock. A well-established integrated computer model of human physiology was used to analyze and categorize the hemodynamic profiles from a system analysis perspective. A differentiation between these categories was presented as the percent of total patients. Results Of the 9 patients with traumatic neurogenic shock, the etiology of shock was decrease in peripheral vascular resistance (PVR) in 3 (33%; 95% confidence interval, 12%–65%), loss of vascular capacitance in 2 (22%; 6%–55%) and mixed peripheral resistance and capacitance responsible in 3 (33%; 12%–65%), and purely cardiac in 1 (11%; 3%–48%). The markers of sympathetic outflow had no correlation to any of the elements in the patients' hemodynamic profiles. Conclusions Results from this study suggest that hypotension of neurogenic shock can have multiple mechanistic etiologies and represents a spectrum of hemodynamic profiles. This understanding is important for the treatment decisions in managing these patients.

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“…tissue systems). Currently, we are adding two independent kidneys and merging our RAS modules to the last, enhanced version of Guyton's model (Montani et al 1989, Montani andVan Vliet 2009a, b), with emphasis upon endocrine aspects, including ACE constitutive role in the kallikrein-kinin system and a refined aldosterone section.…”

Section: Renal Sympathetic Nerve Activitymentioning

confidence: 99%

“…As a first step, our modelling study selectively focus upon these four factors, considered the main 'renin regulators' (Brown 2007;Schweda and Kurtz 2009). Other factors able to influence renin, such as bradykinin, endothelin or atrial natriuretic peptide (ANP, introduced later; Montani et al 1989) are absent from GCM. Of note, the inhibion of renin production by anti-diuretic hormone (ADH, represented in GCM as a controller of thirst and diuresis) will be ignored here, essentially (1) to keep parameters to be identified to a minimum, and (2) because human data are scarce (especially for healthy subjects; see Share 1988).…”

Section: Introductionmentioning

confidence: 99%

A Computational Model of the Circulating Renin-Angiotensin System and Blood Pressure Regulation

Guillaud

Hannaert

2010

Acta Biotheor

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(1) model BP, PRA and [Ang II] are within reported ranges, and respond physiologically to sodium intake; (2) short-term Ang II infusion induces reported rise in BP and PRA. The modeled circulating RAS, in interaction with an integrated CVR, exhibits a realistic response to BP control maneuvers. This construction will allow for modelling hypertensive and CVR patients, including salt-sensitivity, polymorphisms, and pharmacotherapeutics.

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A simulation support system for solving large physiological models on microcomputers

Cited by 25 publications

References 7 publications

SAPHIR: a physiome core model of body fluid homeostasis and blood pressure regulation

SAPHIR: a physiome core model of body fluid homeostasis and blood pressure regulation

Characterization of the spectrum of hemodynamic profiles in trauma patients with acute neurogenic shock

A Computational Model of the Circulating Renin-Angiotensin System and Blood Pressure Regulation

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