A phenomenological-based semi-physical model of the kidneys and its role in glucose metabolism

被引:7
|
作者
Lema-Perez, Laura [1 ]
Builes-Montano, Carlos E. [2 ]
Alvarez, Hernan [1 ]
机构
[1] Univ Nacl Colombia, Fac Minas, Escuela Proc & Energia, Kalman Res Grp, Cra 80 65-223, Medellin 050041, Colombia
[2] Univ Antioquia, Hosp Pablo Tobon Uribe, Fac Med, Calle 78b 69-240,Cra 51d 62-29, Medellin 050010, Colombia
关键词
Physiological systems; Kidneys; Glucose metabolism; Parameter interpretability; Phenomenological-based semi-physical model (PBSM); GLUCONEOGENESIS; HYPOGLYCEMIA; HOMEOSTASIS; SYSTEM;
D O I
10.1016/j.jtbi.2020.110489
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The kidneys play an important role in glucose homeostasis in three ways: Via endogenous glucose production from non-carbohydrate precursors (e.g. glutamine, lactate, alanine, glycerol) during both post-prandial and post-absorptive states; via glucose filtration and reabsorption by the glomerulus and proximal tubule, respectively; and via glucose utilization and the elimination of its excess in the urine when glucose levels exceed 180 mg/dl. The renal release of glucose into the circulation occurs mainly in the renal cortex and results from the glucose phosphorylating capacity of those renal cells, meaning that, cells in the renal cortex can form glucose-6-phosphate. Considering glucose filtration and reabsorption, the kidneys filtrate and reabsorb all circulating glucose, rendering the urine virtually glucose-free in a healthy person. Finally, the kidneys take up glucose from the circulation for energetic self-supply. Besides their role in glucose metabolism, the kidneys are the major site of insulin clearance from the systemic circulation, removing approximately 50% of peripheral insulin. In this regard, insulin clearance by kidneys occurs by degradation in the proximal tubule after being filtered in the glomerulus. All the aforementioned mechanisms affect the glucose concentration levels in the blood, preventing the parametrization of a mathematical model for patients with diabetes mellitus, in the implementation of an artificial pancreas. Aiming for a complete physiological model of the glucose homeostasis, a physiological submodel of the kidneys is presented in a way not described in the literature so far. This submodel is a phenomenological-based semi-physical model with a basic structure rooted in the conservation law and for which the parameters are interpretable. The model's results coincide well with the available clinical data reported for kidney functions associated with glucose and insulin. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] MAIN GLUCOSE HEPATIC FLUXES IN HEALTHY SUBJECTS PREDICTED FROM A PHENOMENOLOGICAL-BASED MODEL OF THE LIVER
    Builes-Montano, C.
    Lema-Perez, L.
    Garcia-Tirado, J.
    Alvarez, H.
    DIABETES TECHNOLOGY & THERAPEUTICS, 2021, 23 : A138 - A139
  • [22] A semi-physical model for pneumatic control valves
    Fang, Lei
    Tang, Li
    Wang, Jiandong
    Shang, Qunli
    NONLINEAR DYNAMICS, 2016, 85 (03) : 1735 - 1748
  • [23] Fuzzy Network Based Evaluation Model for Semi-Physical Virtual Training
    Zhang, Bao-Hua
    Wang, Xiao-Wei
    2019 3RD INTERNATIONAL CONFERENCE ON DATA SCIENCE AND BUSINESS ANALYTICS (ICDSBA 2019), 2019, : 345 - 350
  • [24] Phenomenological-Based Model of Tanks with Hyperelastic Walls Connected in Series
    Hernandez-Arango, Andrea
    Herron-Bedoya, Alejandro
    Paredes-Angel, Valentina
    2020 ARGENTINE CONFERENCE ON AUTOMATIC CONTROL (AADECA), 2020,
  • [25] Building semi-physical modeling: On selection of the model complexity
    Vana, Zdenek
    Privara, Samuel
    Zacekova, Eva
    Cigler, Jiri
    2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 3955 - 3960
  • [26] Design and implementation of Ship motion model based on the semi-physical simulation system
    Bai, Xiaomeng
    Yang, Gongliu
    Liu, Yuanyuan
    Wan, Zhenyuan
    2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE), 2016, : 909 - 913
  • [27] Model Predictive Control for Tram Charging and Its Semi-Physical Experimental Platform Design
    Guo, Chujia
    Zhang, Aimin
    Zhang, Hang
    JOURNAL OF POWER ELECTRONICS, 2018, 18 (06) : 1771 - 1779
  • [28] Semi-physical nonlinear circuit model with device/physical parameters for HEMTs
    Otsuka, Hiroshi
    Oishi, Toshiyuki
    Yamanaka, Koji
    Thorsell, Mattias
    Andersson, Kristoffer
    Inoue, Akira
    Hirano, Yoshihito
    Angelov, Iltcho
    INTERNATIONAL JOURNAL OF MICROWAVE AND WIRELESS TECHNOLOGIES, 2011, 3 (01) : 25 - 33
  • [29] Model-Based Semi-Physical Simulation Platform Architecting for Satellite Communication System
    Gao, Su
    Cao, Yue
    Liu, Yusheng
    Long, Guangyu
    Fan, Luhai
    2018 13TH ANNUAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE), 2018, : 379 - 386
  • [30] A semi-physical α-β model on bainite transformation kinetics and carbon partitioning
    Wei, Wenwen
    Retzl, Philipp
    Kozeschnik, Ernst
    Povoden-Karadeniz, Erwin
    ACTA MATERIALIA, 2021, 207