{"title":"Understanding the complex interplay between tau, amyloid and the network in the spatiotemporal progression of Alzheimer's Disease.","authors":"Ashish Raj, Justin Torok, Kamalini Ranasinghe","doi":"10.1016/j.pneurobio.2025.102750","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The interaction of amyloid and tau in neurodegenerative diseases is a central feature of AD pathophysiology. While experimental studies point to various interaction mechanisms, their causal direction and mode (local, remote or network-mediated) remain unknown in human subjects. The aim of this study was to compare mathematical reaction-diffusion models encoding distinct cross-species couplings to identify which interactions were key to model success.</p><p><strong>Methods: </strong>We tested competing mathematical models of network spread, aggregation, and amyloid-tau interactions on publicly available data from ADNI.</p><p><strong>Results: </strong>Although network spread models captured the spatiotemporal evolution of tau and amyloid in human subjects, the model including a one-way amyloid-to-tau aggregation interaction performed best.</p><p><strong>Discussion: </strong>This mathematical exposition of the \"pas de deux\" of co-evolving proteins provides quantitative, whole-brain support to the concept of amyloid-facilitated-tauopathy rather than the classic amyloid-cascade or pure-tau hypotheses, and helps explain certain known but poorly understood aspects of AD.</p>","PeriodicalId":20851,"journal":{"name":"Progress in Neurobiology","volume":" ","pages":"102750"},"PeriodicalIF":6.7000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Neurobiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.pneurobio.2025.102750","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: The interaction of amyloid and tau in neurodegenerative diseases is a central feature of AD pathophysiology. While experimental studies point to various interaction mechanisms, their causal direction and mode (local, remote or network-mediated) remain unknown in human subjects. The aim of this study was to compare mathematical reaction-diffusion models encoding distinct cross-species couplings to identify which interactions were key to model success.
Methods: We tested competing mathematical models of network spread, aggregation, and amyloid-tau interactions on publicly available data from ADNI.
Results: Although network spread models captured the spatiotemporal evolution of tau and amyloid in human subjects, the model including a one-way amyloid-to-tau aggregation interaction performed best.
Discussion: This mathematical exposition of the "pas de deux" of co-evolving proteins provides quantitative, whole-brain support to the concept of amyloid-facilitated-tauopathy rather than the classic amyloid-cascade or pure-tau hypotheses, and helps explain certain known but poorly understood aspects of AD.
期刊介绍:
Progress in Neurobiology is an international journal that publishes groundbreaking original research, comprehensive review articles and opinion pieces written by leading researchers. The journal welcomes contributions from the broad field of neuroscience that apply neurophysiological, biochemical, pharmacological, molecular biological, anatomical, computational and behavioral analyses to problems of molecular, cellular, developmental, systems, and clinical neuroscience.