PMID- 37890522
OWN - NLM
STAT- MEDLINE
DCOM- 20231216
LR  - 20231216
IS  - 1879-3134 (Electronic)
IS  - 0025-5564 (Linking)
VI  - 366
DP  - 2023 Dec
TI  - Dynamical modeling the effect of glucagon-like peptide on glucose-insulin 
      regulatory system based on mice experimental observation.
PG  - 109090
LID - S0025-5564(23)00130-X [pii]
LID - 10.1016/j.mbs.2023.109090 [doi]
AB  - As an emerging global epidemic, type 2 diabetes mellitus (T2DM) represents one of 
      the leading causes of morbidity and mortality worldwide. Existing evidences 
      demonstrated that glucagon-like peptide-1 (GLP-1) modulate the glucose regulatory 
      system by enhancing the beta-cell function. However, the detailed process of GLP-1 
      in glycaemic regulator for T2DM remains to be clarified. Thus, in this study, we 
      propose an Institute of Cancer Research (ICR) mice high fat and cholesterol 
      dietary experimental data-driven mathematical model to investigate the secretory 
      effect of GLP-1 on the dynamics of glucose-insulin regulatory system. 
      Specifically, we develop a mathematical model of GLP-1 dynamics as part of the 
      interaction model of beta-cell, insulin, and glucose dynamics. The parameter 
      estimation and data fitting are in agreement with the data in mice experiments In 
      addition, uncertainty quantification is performed to explore the possible factors 
      that influence the pathways leading to the pathological state. Model analyses 
      reveal that the high fat or high cholesterol diet stimulated GLP-1 plays an 
      important role in the dynamics of glucose, insulin and beta cells in short-term. 
      These results show that enhanced GLP-1 may mitigate the dysregulation of 
      glucose-insulin regulatory system via promoting the beta cells function and 
      stimulating secretion of insulin, which offers an in-depth insights into the 
      mechanistic of hyperglycemia from dynamical approach and provide the theoretical 
      basis for GLP-1 served as a potential clinical targeted drug for treatment of 
      T2DM.
CI  - Copyright (c) 2023 Elsevier Inc. All rights reserved.
FAU - Zhao, Yu
AU  - Zhao Y
AD  - School of Public Health, Ningxia Medical University, Ningxia, Yinchuan 750004, 
      China; Ningxia Key Laboratory of Environmental Factors and Chronic Disease 
      Control, 1160 Shengli Street, Xingqing District, Yinchuan 750001, China. 
      Electronic address: zhaoyu@nxmu.edu.cn.
FAU - Jing, Wenjun
AU  - Jing W
AD  - School of Statistics, Shanxi University of Finance and Economics, Taiyuan, 
      Shanxi, 030006, China.
FAU - Li, Liping
AU  - Li L
AD  - School of Public Health, Ningxia Medical University, Ningxia, Yinchuan 750004, 
      China; Ningxia Key Laboratory of Environmental Factors and Chronic Disease 
      Control, 1160 Shengli Street, Xingqing District, Yinchuan 750001, China.
FAU - Zhao, Shi
AU  - Zhao S
AD  - JC School of Public Health and Primary Care, Chinese University of Hong Kong, 
      Hong Kong, China.
FAU - Yamasaki, Masayuki
AU  - Yamasaki M
AD  - Faculty of Human Sciences, Shimane University, Shimane, 6908504, Japan. 
      Electronic address: myamasak@hmn.shimane-u.ac.jp.
LA  - eng
PT  - Journal Article
DEP - 20231027
PL  - United States
TA  - Math Biosci
JT  - Mathematical biosciences
JID - 0103146
RN  - 0 (Insulin)
RN  - 89750-14-1 (Glucagon-Like Peptide 1)
RN  - IY9XDZ35W2 (Glucose)
RN  - 97C5T2UQ7J (Cholesterol)
RN  - 0 (Blood Glucose)
SB  - IM
MH  - Mice
MH  - Animals
MH  - *Diabetes Mellitus, Type 2/drug therapy
MH  - Insulin/metabolism
MH  - Glucagon-Like Peptide 1/metabolism/therapeutic use
MH  - Glucose/metabolism
MH  - Cholesterol/therapeutic use
MH  - Blood Glucose/metabolism
OTO - NOTNLM
OT  - Diabetes
OT  - Dynamical model
OT  - Glucagon-like peptide-1
OT  - Glycaemic regulatory
OT  - Incretion effect
COIS- Declaration of competing interest The authors declare that there is no conflict 
      of interests regarding the publication of this paper. All authors read and agree 
      to submit this manuscript to your journal.
EDAT- 2023/10/28 11:41
MHDA- 2023/12/17 09:44
CRDT- 2023/10/27 19:26
PHST- 2023/05/19 00:00 [received]
PHST- 2023/10/17 00:00 [revised]
PHST- 2023/10/18 00:00 [accepted]
PHST- 2023/12/17 09:44 [medline]
PHST- 2023/10/28 11:41 [pubmed]
PHST- 2023/10/27 19:26 [entrez]
AID - S0025-5564(23)00130-X [pii]
AID - 10.1016/j.mbs.2023.109090 [doi]
PST - ppublish
SO  - Math Biosci. 2023 Dec;366:109090. doi: 10.1016/j.mbs.2023.109090. Epub 2023 Oct 
      27.