There is a long history of arithmetic simulations in the domain of gluconeogenesis. There are various reasons why frameworks are used. Paradigms have been employed to calculate physiologically relevant parameters from intermediate experimental evidence, to offer a clear quantitative description of pathophysiology processes, and to identify clinical relevance indicators from basic empirical procedures. The creation and application of frameworks in this field has expanded in response to the rising social effect of type 2 diabetes that entails a disruption of the glycemic homeostasis system. The frameworks' emphasis has ranged from depictions of entire body functions to lymphocytes (form “in Vivo” to “in Vitro”) study, following the methodologies of physiologic and medicinal exploration. Framework-based techniques to connecting in vivo and in vitro research, and also multi-resolution systems that combine the two domains, have been presented. The arithmetic and psychological domains have had varying levels of effectiveness and influence.
Physiological Modeling Functions, Glycemic Metabolism, Glycemic Homeostasis, Thyroxine Production
L. S. Tham et al., “A model-based simulation of glycemic control and body weight when switching from semaglutide to 3.0 and 4.5 mg doses of once-weekly dulaglutide,” Diabetes Obes. Metab., 2021.
S. Chewning, L. Baker, J. Pipkin, R. Douglas, and P. Mitchell, “1 Daily secretion patterns of thyroxine, insulin, and cortisol in non-working horses on pasture when receiving one concentrate meal per day vs. no daily concentrate,” J. Equine Vet. Sci., vol. 100, no. 103464, p. 103464, 2021.
J. Jayasekera et al., “Development and validation of a simulation model-based clinical decision tool: Identifying patients where 21-gene recurrence score testing may change decisions,” J. Clin. Oncol., vol. 39, no. 26, pp. 2893–2902, 2021.
C. Inadomi, Y. Terao, K. Yamashita, M. Fukusaki, M. Takada, and K. Sumikawa, “Comparison of oxygen consumption calculated by Fick’s principle (using a central venous catheter) and measured by indirect calorimetry,” J. Anesth., vol. 22, no. 2, pp. 163–166, 2008.
K. Nagaraj and N. Kp, “Critical analysis on physiology of negative feedback mechanism in terms of Ayurveda wsr thyroxine secretion,” Unique Journal of Medical and Dental Sciences, vol. 8, no. 2, pp. 1–3, 2020.
W. Zhu et al., “Mesenchymal stem cells ameliorate hyperglycemia-induced endothelial injury through modulation of mitophagy,” Cell Death Dis., vol. 9, no. 8, p. 837, 2018.
T. A. Ahmed et al., “Development of multi-compartment 3D-printed tablets loaded with self-nanoemulsified formulations of various drugs: A new strategy for personalized medicine,” Pharmaceutics, vol. 13, no. 10, p. 1733, 2021.
D. G. Patria, A. Sutrisno, S. Sukamto, and J. Lin, “Process optimization in the development of porang glucomannan (Amorphophallus mulleri B.) incorporated into the restructured rice using a pasta extruder: physicochemical properties, cooking characteristics, and an estimated glycemic index,” Food Sci. Technol., 2021.
M. S. Hafiz, M. D. Campbell, L. L. O’Mahoney, M. Holmes, C. Orfila, and C. Boesch, “Pulse consumption improves indices of glycemic control in adults with and without type 2 diabetes: a systematic review and meta-analysis of acute and long-term randomized controlled trials,” Eur. J. Nutr., 2021.
J. O. Chung, S.-Y. Park, D. H. Cho, D. J. Chung, and M. Y. Chung, “Association between serum C-peptide level and cardiovascular autonomic neuropathy according to estimated glomerular filtration rate in individuals with type 2 diabetes,” Exp. Clin. Endocrinol. Diabetes, vol. 128, no. 9, pp. 607–614, 2020.
C. Balta, A. Ciceu, H. Herman, M. Rosu, O. M. Boldura, and A. Hermenean, “Dose-dependent antifibrotic effect of chrysin on regression of liver fibrosis: The role in extracellular matrix remodeling,” Dose Response, vol. 16, no. 3, p. 1559325818789835, 2018.
I. Wakabayashi and T. Daimon, “Associations of blood urate level with glycemic status and other cardiometabolic risk factors in middle-aged women,” Womens Health Rep (New Rochelle), vol. 2, no. 1, pp. 413–421, 2021.
D. Tenenbaum et al., “Early detection of congenital hypothyroidism in premature infants. Normal levels of thyrotropin and thyroxine,” Pediatrie, vol. 34, no. 7, pp. 707–712, 1979.
K. P. Devalraju et al., “Reduced thyroxine production in young household contacts of tuberculosis patients increases active tuberculosis disease risk,” JCI Insight, vol. 6, no. 13, 2021.
K. Oyanagi, T. Negishi, and T. Tashiro, “Action of thyroxine on the survival and neurite maintenance of cerebellar granule neurons in culture: Thyroxine Action on Cerebellar Granule Cells,” J. Neurosci. Res., vol. 93, no. 4, pp. 592–603, 2015.
A. K. Dhal, A. Pani, S.-I. Yun, and R. K. Mahapatra, “In-silico analysis of Calcium Dependent Protein Kinase 6 of Cryptosporidium parvum through molecular modeling, docking, and dynamics simulation study,” J. Biomol. Struct. Dyn., vol. 39, no. 15, pp. 5461–5470, 2021.
D. Swaminathan, G. D. Dickinson, A. Demuro, and I. Parker, “Noise analysis of cytosolic calcium image data,” Cell Calcium, vol. 86, no. 102152, p. 102152, 2020.
E. W. Gresik and T. Barka, “Precocious development of granular convoluted tubules in the mouse submandibular gland induced by thyroxine or by thyroxine and testosterone,” Am. J. Anat., vol. 159, no. 2, pp. 177–185, 1980.
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Faculty of Pharmacy, Rhodes University, Makhanda, 6139, South Africa.
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Cite this article
Elirea Bornmann, “Modelling for Clinical and Psysiological Evaluation of Diabetes and Glucose Homeostasis”, Journal of Biomedical and Sustainable Healthcare Applications, vol.2, no.1, pp. 026-034, January 2022. doi: 10.53759/0088/JBSHA202202004.