HumMod: A Modeling Environment for the Simulation of Integrative Human Physiology
Open accessAbstract
Mathematical models and simulations are important tools in discovering key causal relationships governing physiological processes. Simulations guide and improve outcomes of medical interventions involving complex physiology. We developed HumMod, a Windows-based model of integrative human physiology. HumMod consists of 5000 variables describing cardiovascular, respiratory, renal, neural, endocrine, skeletal muscle, and metabolic physiology. The model is constructed from empirical data obtained from peer-reviewed physiological literature. All model details, including variables, parameters, and quantitative relationships, are described in Extensible Markup Language (XML) files. The executable (HumMod.exe) parses the XML and displays the results of the physiological simulations. The XML description of physiology in HumMod's modeling environment allows investigators to add detailed descriptions of human physiology to test new concepts. Additional or revised XML content is parsed and incorporated into the model. The model accurately predicts both qualitative and quantitative changes in clinical and experimental responses. The model is useful in understanding proposed physiological mechanisms and physiological interactions that are not evident, allowing one to observe higher level emergent properties of the complex physiological systems. HumMod has many uses, for instance, analysis of renal control of blood pressure, central role of the liver in creating and maintaining insulin resistance, and mechanisms causing orthostatic hypotension in astronauts. Users simulate different physiological and pathophysiological situations by interactively altering numerical parameters and viewing time-dependent responses. HumMod provides a modeling environment to understand the complex interactions of integrative physiology. HumMod can be downloaded at http://hummod.org.
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HumMod is the most evolved derivative of the 1972 Guyton model; it is a large multi-scale model with a Windows-based graphical user interface.
“The most evolved derivative of the 1972 Guyton model is a large, multi-scale model called “HumMod” that includes a Windows-based graphical user interface.11, 12”
From Testing Computer Models Predicting Human Responses to a High-Salt Diet: Implications for Understanding Mechanisms of Salt-Sensitive Hypertension (2018) · cites this paper as [12]
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References 13 · Cited by 159
- Authors
- Hester, R. L., Brown, A. J., Husband, L., Iliescu, R., Pruett, D., Summers, R., & Coleman, T. G.
- Affiliations
- University of Mississippi Medical Center (US)
- Grigore T. Popa University of Medicine and Pharmacy (RO)
- Corresponding author
- Hester, Robert L.
- Venue
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Published
- 2011
- Volume
- 2
- Pages
- 12-12
- ISSN
- 1664-042X (ISSN-L)
- PMC
- PMC3082131
- OpenAlex
- W2015185311
- Semantic Scholar
- 2cef929341657ec073f15ec8d848ca52a9565d9b
- Cited by
- 159
- References
- 13
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 7 · 2023: 7 · 2022: 8 · 2021: 16 · 2020: 10 · 2019: 12 · 2018: 9 · 2017: 14 · 2016: 12 · 2015: 18 · 2014: 16 · 2013: 10 · 2012: 3
- FWCI
- 9.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Physiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Aeronautics and Space Administration
- National Institutes of Health
- National Heart, Lung, and Blood Institute (P01HL051971, T32HL105324)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Modeling and Simulation Systems
- Health Sciences › Health Professions › Health Information Management › Methodologies in Health Research and Practice
- Health Sciences › Medicine › Surgery › Biomedical and Chemical Research
- Keywords
- physiological simulation, cardiovascular physiology, respiratory physiology, renal physiology, endocrine physiology, skeletal muscle physiology, metabolic physiology, insulin resistance, liver, orthostatic hypotension, astronaut physiology
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