{"title":"应用于阿尔茨海默病的蛋白质扩散和组织萎缩的耦合数学和数值模型","authors":"Valentina Pederzoli , Mattia Corti , Davide Riccobelli , Paola F. Antonietti","doi":"10.1016/j.cma.2025.118118","DOIUrl":null,"url":null,"abstract":"<div><div>The aim of this paper is to introduce, analyze and test in practice a new mathematical model describing the interplay between biological tissue atrophy driven by the diffusion of a biological agent, with applications to neurodegenerative disorders. This study introduces a novel mathematical and computational model comprising a Fisher–Kolmogorov equation for species diffusion coupled with an elasticity equation governing mass loss. These equations intertwine through a logistic law dictating the reduction of the medium’s mass. This model is applied to the onset and development of Alzheimer’s disease. Here, the equations describe the propagation of misfolded <span><math><mi>τ</mi></math></span>-proteins and the ensuing brain atrophy characteristic of the disease. To address numerically the inherited complexities, we propose a Discontinuous Galerkin method for spatial discretization, while time integration relies on the Crank–Nicolson method. We present the mathematical model, explore its characteristics, and present the proposed discretization. Furthermore, convergence results are presented to verify the model’s implementation, accompanied by simulations illustrating the application scenario of the onset of Alzheimer’s disease.</div></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":"444 ","pages":"Article 118118"},"PeriodicalIF":6.9000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A coupled mathematical and numerical model for protein spreading and tissue atrophy applied to Alzheimer’s disease\",\"authors\":\"Valentina Pederzoli , Mattia Corti , Davide Riccobelli , Paola F. Antonietti\",\"doi\":\"10.1016/j.cma.2025.118118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The aim of this paper is to introduce, analyze and test in practice a new mathematical model describing the interplay between biological tissue atrophy driven by the diffusion of a biological agent, with applications to neurodegenerative disorders. This study introduces a novel mathematical and computational model comprising a Fisher–Kolmogorov equation for species diffusion coupled with an elasticity equation governing mass loss. These equations intertwine through a logistic law dictating the reduction of the medium’s mass. This model is applied to the onset and development of Alzheimer’s disease. Here, the equations describe the propagation of misfolded <span><math><mi>τ</mi></math></span>-proteins and the ensuing brain atrophy characteristic of the disease. To address numerically the inherited complexities, we propose a Discontinuous Galerkin method for spatial discretization, while time integration relies on the Crank–Nicolson method. We present the mathematical model, explore its characteristics, and present the proposed discretization. Furthermore, convergence results are presented to verify the model’s implementation, accompanied by simulations illustrating the application scenario of the onset of Alzheimer’s disease.</div></div>\",\"PeriodicalId\":55222,\"journal\":{\"name\":\"Computer Methods in Applied Mechanics and Engineering\",\"volume\":\"444 \",\"pages\":\"Article 118118\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Methods in Applied Mechanics and Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0045782525003901\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Applied Mechanics and Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045782525003901","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
A coupled mathematical and numerical model for protein spreading and tissue atrophy applied to Alzheimer’s disease
The aim of this paper is to introduce, analyze and test in practice a new mathematical model describing the interplay between biological tissue atrophy driven by the diffusion of a biological agent, with applications to neurodegenerative disorders. This study introduces a novel mathematical and computational model comprising a Fisher–Kolmogorov equation for species diffusion coupled with an elasticity equation governing mass loss. These equations intertwine through a logistic law dictating the reduction of the medium’s mass. This model is applied to the onset and development of Alzheimer’s disease. Here, the equations describe the propagation of misfolded -proteins and the ensuing brain atrophy characteristic of the disease. To address numerically the inherited complexities, we propose a Discontinuous Galerkin method for spatial discretization, while time integration relies on the Crank–Nicolson method. We present the mathematical model, explore its characteristics, and present the proposed discretization. Furthermore, convergence results are presented to verify the model’s implementation, accompanied by simulations illustrating the application scenario of the onset of Alzheimer’s disease.
期刊介绍:
Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.