{"title":"模拟肝脏葡萄糖调节过程的 Petri 网","authors":"Kamila Barylska, Anna Gogolińska","doi":"arxiv-2405.11009","DOIUrl":null,"url":null,"abstract":"Diabetes is a chronic condition, considered one of the civilization diseases,\nthat is characterized by sustained high blood sugar levels. There is no doubt\nthat more and more people is going to suffer from diabetes, hence it is crucial\nto understand better its biological foundations. The essential processes\nrelated to the control of glucose levels in the blood are: glycolysis (process\nof breaking down of glucose) and glucose synthesis, both taking place in the\nliver. The glycolysis occurs during feeding and it is stimulated by insulin. On\nthe other hand, the glucose synthesis arises during fasting and it is\nstimulated by glucagon. In the paper we present a Petri net model of glycolysis\nand glucose synthesis in the liver. The model is created based on medical\nliterature. Standard Petri nets techniques are used to analyse the properties\nof the model: traps, reachability graphs, tokens dynamics, deadlocks analysis.\nThe results are described in the paper. Our analysis shows that the model\ncaptures the interactions between different enzymes and substances, which is\nconsistent with the biological processes occurring during fasting and feeding.\nThe model constitutes the first element of our long-time goal to create the\nwhole body model of the glucose regulation in a healthy human and a person with\ndiabetes.","PeriodicalId":501219,"journal":{"name":"arXiv - QuanBio - Other Quantitative Biology","volume":"22 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Petri nets in modelling glucose regulating processes in the liver\",\"authors\":\"Kamila Barylska, Anna Gogolińska\",\"doi\":\"arxiv-2405.11009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Diabetes is a chronic condition, considered one of the civilization diseases,\\nthat is characterized by sustained high blood sugar levels. There is no doubt\\nthat more and more people is going to suffer from diabetes, hence it is crucial\\nto understand better its biological foundations. The essential processes\\nrelated to the control of glucose levels in the blood are: glycolysis (process\\nof breaking down of glucose) and glucose synthesis, both taking place in the\\nliver. The glycolysis occurs during feeding and it is stimulated by insulin. On\\nthe other hand, the glucose synthesis arises during fasting and it is\\nstimulated by glucagon. In the paper we present a Petri net model of glycolysis\\nand glucose synthesis in the liver. The model is created based on medical\\nliterature. Standard Petri nets techniques are used to analyse the properties\\nof the model: traps, reachability graphs, tokens dynamics, deadlocks analysis.\\nThe results are described in the paper. Our analysis shows that the model\\ncaptures the interactions between different enzymes and substances, which is\\nconsistent with the biological processes occurring during fasting and feeding.\\nThe model constitutes the first element of our long-time goal to create the\\nwhole body model of the glucose regulation in a healthy human and a person with\\ndiabetes.\",\"PeriodicalId\":501219,\"journal\":{\"name\":\"arXiv - QuanBio - Other Quantitative Biology\",\"volume\":\"22 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Other Quantitative Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.11009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Other Quantitative Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.11009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
糖尿病是一种慢性疾病,被认为是文明病之一,其特点是血糖水平持续偏高。毫无疑问,越来越多的人会患上糖尿病,因此更好地了解糖尿病的生物学基础至关重要。与控制血液中葡萄糖水平有关的基本过程是:糖酵解(分解葡萄糖的过程)和葡萄糖合成,这两个过程都在肝脏中进行。糖酵解发生在进食过程中,由胰岛素刺激。另一方面,葡萄糖合成发生在空腹时,由胰高血糖素刺激。本文介绍了肝脏中糖酵解和葡萄糖合成的 Petri 网模型。该模型是根据医学文献创建的。我们使用标准的 Petri 网技术来分析模型的属性:陷阱、可达性图、代币动态、死锁分析。我们的分析表明,该模型捕捉到了不同酶和物质之间的相互作用,这与空腹和进食时发生的生物过程一致。
Petri nets in modelling glucose regulating processes in the liver
Diabetes is a chronic condition, considered one of the civilization diseases,
that is characterized by sustained high blood sugar levels. There is no doubt
that more and more people is going to suffer from diabetes, hence it is crucial
to understand better its biological foundations. The essential processes
related to the control of glucose levels in the blood are: glycolysis (process
of breaking down of glucose) and glucose synthesis, both taking place in the
liver. The glycolysis occurs during feeding and it is stimulated by insulin. On
the other hand, the glucose synthesis arises during fasting and it is
stimulated by glucagon. In the paper we present a Petri net model of glycolysis
and glucose synthesis in the liver. The model is created based on medical
literature. Standard Petri nets techniques are used to analyse the properties
of the model: traps, reachability graphs, tokens dynamics, deadlocks analysis.
The results are described in the paper. Our analysis shows that the model
captures the interactions between different enzymes and substances, which is
consistent with the biological processes occurring during fasting and feeding.
The model constitutes the first element of our long-time goal to create the
whole body model of the glucose regulation in a healthy human and a person with
diabetes.