Petri Net modelling approach for analysing the behaviour of Wnt/ -catenin and Wnt/ Ca2+ signalling pathways in arrhythmogenic right ventricular cardiomyopathy

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Nazia Azim, Jamil Ahmad, Nadeem Iqbal, Amnah Siddiqa, Abdul Majid, Javaria Ashraf, Fazal Jalil
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引用次数: 1

Abstract

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease that may result in arrhythmia, heart failure and sudden death. The hallmark pathological findings are progressive myocyte loss and fibro fatty replacement, with a predilection for the right ventricle. This study focuses on the adipose tissue formation in cardiomyocyte by considering the signal transduction pathways including Wnt/ -catenin and Wnt/Ca2+ regulation system. These pathways are modelled and analysed using stochastic petri nets (SPN) in order to increase our comprehension of ARVC and in turn its treatment regimen. The Wnt/ -catenin model predicts that the dysregulation or absence of Wnt signalling, inhibition of dishevelled and elevation of glycogen synthase kinase 3 along with casein kinase I are key cytotoxic events resulting in apoptosis. Moreover, the Wnt/Ca2+ SPN model demonstrates that the Bcl2 gene inhibited by c-Jun N-terminal kinase protein in the event of endoplasmic reticulum stress due to action potential and increased amount of intracellular Ca2+ which recovers the Ca2+ homeostasis by phospholipase C, this event positively regulates the Bcl2 to suppress the mitochondrial apoptosis which causes ARVC.

Abstract Image

Petri网建模方法分析Wnt/ -catenin和Wnt/ Ca2+信号通路在致心律失常右室心肌病中的行为
心律失常性右室心肌病(ARVC)是一种遗传性心肌疾病,可导致心律失常、心力衰竭和猝死。其标志性病理表现为进行性肌细胞丧失和纤维脂肪替代,以右心室为主。本研究通过考虑Wnt/ -catenin和Wnt/Ca2+调控系统等信号转导途径,重点研究心肌细胞脂肪组织的形成。使用随机petri网(SPN)对这些途径进行建模和分析,以增加我们对ARVC的理解,进而提高其治疗方案。Wnt/ -catenin模型预测,Wnt信号的失调或缺失、糖原合成酶激酶3和酪蛋白激酶I的抑制和升高是导致细胞凋亡的关键细胞毒性事件。此外,Wnt/Ca2+ SPN模型表明,在内质网动作电位应激和细胞内Ca2+量增加的情况下,C - jun n端激酶蛋白抑制Bcl2基因,通过磷脂酶C恢复Ca2+稳态,这一事件正向调节Bcl2,抑制引起ARVC的线粒体凋亡。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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