Ying Luan, Weiyi Wang, Qi Huang, Yan Wang, Jana Nussbaumer, Jie Wang, Anna Steward, Sebastian N. Roemer-Cassiano, Yihui Guan, Michael Ewers, Michael Schöll, Ruiqing Ni, Binyin Li, Nicolai Franzmeier, Fang Xie
{"title":"Synaptic loss pattern is constrained by brain connectome and modulated by phosphorylated tau in Alzheimer’s disease","authors":"Ying Luan, Weiyi Wang, Qi Huang, Yan Wang, Jana Nussbaumer, Jie Wang, Anna Steward, Sebastian N. Roemer-Cassiano, Yihui Guan, Michael Ewers, Michael Schöll, Ruiqing Ni, Binyin Li, Nicolai Franzmeier, Fang Xie","doi":"10.1038/s41467-025-61497-4","DOIUrl":null,"url":null,"abstract":"<p>Synaptic loss strongly correlates with cognitive impairment in Alzheimer’s disease (AD), yet the mechanism linking its origin and pattern remain unclear. Given that connected brain regions share molecular and synaptic features, and pathological tau, a key driver of synaptic degeneration, propagates through brain networks, we hypothesize that network architecture may influence synaptic loss in AD. By combining synaptic vesicle glycoprotein 2 A (SV2A) PET in 91 AD patients and 54 controls with normative connectome data, we show strongly connected regions exhibit similar levels of synaptic loss, and synaptic loss in one region is associated with connectivity-weighted synaptic loss in connected regions. Regions strongly connected to the epicenter show greater and faster synaptic loss. Plasma p-tau181 levels correlate with network-constrained synaptic loss, and post-mortem data confirm reduced SV2A expression in tau-rich areas. These findings support that synaptic vulnerability in AD is partially constrained by network topology and is modulated by phosphorylated tau.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"71 1","pages":""},"PeriodicalIF":14.7000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-025-61497-4","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Synaptic loss strongly correlates with cognitive impairment in Alzheimer’s disease (AD), yet the mechanism linking its origin and pattern remain unclear. Given that connected brain regions share molecular and synaptic features, and pathological tau, a key driver of synaptic degeneration, propagates through brain networks, we hypothesize that network architecture may influence synaptic loss in AD. By combining synaptic vesicle glycoprotein 2 A (SV2A) PET in 91 AD patients and 54 controls with normative connectome data, we show strongly connected regions exhibit similar levels of synaptic loss, and synaptic loss in one region is associated with connectivity-weighted synaptic loss in connected regions. Regions strongly connected to the epicenter show greater and faster synaptic loss. Plasma p-tau181 levels correlate with network-constrained synaptic loss, and post-mortem data confirm reduced SV2A expression in tau-rich areas. These findings support that synaptic vulnerability in AD is partially constrained by network topology and is modulated by phosphorylated tau.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.