Delay-induced uncertainty in the glucose-insulin system: Pathogenicity for obesity and type-2 diabetes mellitus
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We have recently shown that physiological delay can induce a novel form of sustained temporal chaos we call delay-induced uncertainty (DIU) (Karamched et al. (Chaos, 2021, 31, 023142)). This paper assesses the impact of DIU on the ability of the glucose-insulin system to maintain homeostasis when responding to the ingestion of meals. We address two questions. First, what is the nature of the DIU phenotype? That is, what physiological macrostates (as encoded by physiological parameters) allow for DIU onset? Second, how does DIU impact health? We find that the DIU phenotype is abundant in the space of intrinsic parameters for the Ultradian glucose-insulin model-a model that has been successfully used to predict glucose-insulin dynamics in humans. Configurations of intrinsic parameters that correspond to high characteristic glucose levels facilitate DIU onset. We argue that DIU is pathogenic for obesity and type-2 diabetes mellitus by linking the statistical profile of DIU to the glucostatic theory of hunger.
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Time delays may induce uncertainty and make machine learning challenging to capture chaotic phenomena.
“Time delays, which are common in modeling the metabolic system (82–85), may induce uncertainty and make machine learning challenging to capture chaotic phenomena (86, 87).”
From The progression of secondary diabetes: A review of modeling studies (2022) · cites this paper as [87]
The Introduction (page not provided) says physiological delay can induce sustained temporal chaos, which the authors call delay-induced uncertainty, and says such chaos undermines predictability. It does not say that machine learning has difficulty capturing chaotic phenomena; a search for that point returned no supporting passage. (LLM, conf=0.86)
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- Authors
- Karamched, B. R., Hripcsak, G., Leibel, R. L., Albers, D., & Ott, W.
- Affiliations
- Florida State University (US)
- Columbia University (US)
- Columbia University Irving Medical Center (US)
- University of Colorado Anschutz (US)
- University of Houston (US)
- Corresponding author
- Karamched, Bhargav R.
- Ott, William
- Venue
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Published
- 2022-09-01
- Volume
- 13
- Pages
- 936101-936101
- ISSN
- 1664-042X (ISSN-L)
- PMC
- PMC9476552
- OpenAlex
- W4294031233
- Cited by
- 7
- References
- 33
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 1
- FWCI
- 0.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Physiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (1816315)
- National Institutes of Health (LM006910)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK026687)
- U.S. National Library of Medicine (R01LM012734, R01LM006910)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- glucose-insulin system, temporal chaos, homeostasis, meal ingestion, obesity, type 2 diabetes, intrinsic parameters
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