Deciphering the expression dynamics of ANGPTL8 associated regulatory network in insulin resistance using formal modelling approaches. Issue 2 (1st April 2020)

• Record Type: Journal Article
• Authors: Siddiqa, Amnah; Ahmad, Jamil; Ali, Amjad; Khan, Sharifullah
• Is Part Of: IET systems biology. Volume 14:Issue 2(2020)
• Page Start: 47
• Page End: 58
• Publication Date: 2020-04-01
• Subjects: molecular biophysics -- biomembranes -- diseases -- stochastic processes -- biochemistry -- patient treatment -- Petri nets -- genetics -- sugar -- cellular biophysics -- biology computing; ANGPTL8 associated regulatory network -- formal modelling approaches -- lipid metabolism -- compensatory insulin resistance -- glucose tolerance -- equivalent Stochastic Petri Net model -- ANGPTL8 associated BRN; Systems biology -- Periodicals; Cell physiology -- Periodicals; Biological systems -- Mathematical models -- Periodicals; Genetics -- Mathematical models -- Periodicals; Computational biology -- Periodicals; 573
• DOI: 10.1049/iet-syb.2019.0032
• Languages: English
• ISSNs: 1751-8849

Abstract

Abstract : ANGPTL8 is a recently identified novel hormone which regulates both glucose and lipid metabolism. The increase in ANGPTL8 during compensatory insulin resistance has been recently reported to improve glucose tolerance and a part of cytoprotective metabolic circuit. However, the exact signalling entities and dynamics involved in this process have remained elusive. Therefore, the current study was conducted with a specific aim to model the regulation of ANGPTL8 with emphasis on its role in improving glucose tolerance during insulin resistance. The main contribution of this study is the construction of a discrete model (based on kinetic logic of René Thomas) and its equivalent Stochastic Petri Net model of ANGPTL8 associated Biological Regulatory Network (BRN) which can predict its dynamic behaviours. The predicted results of these models are in‐line with the previous experimental observations and provide comprehensive insights into the signalling dynamics of ANGPTL8 associated BRN. The authors' results support the hypothesis that ANGPTL8 plays an important role in supplementing the insulin signalling pathway during insulin resistance and its loss can aggravate the pathogenic process by quickly leading towards Diabetes Mellitus. The results of this study have potential therapeutic implications for treatment of Diabetes Mellitus and are suggestive of its potential as a glucose‐lowering agent.