Maura Malpetti, Saima Rathore, Leonardo Iaccarino, Renaud La Joie, Giulia Tronchin, Alette M Wessels, John R Sims, Michael J Pontecorvo, Sergey Shcherbinin, Gil D Rabinovici
{"title":"区域tau PET模式预测早期症状性阿尔茨海默病的前瞻性领域特异性认知能力下降。","authors":"Maura Malpetti, Saima Rathore, Leonardo Iaccarino, Renaud La Joie, Giulia Tronchin, Alette M Wessels, John R Sims, Michael J Pontecorvo, Sergey Shcherbinin, Gil D Rabinovici","doi":"10.1186/s13195-025-01868-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Tau-PET binding patterns are heterogenous, with regional binding showing strong cross-sectional correlations with domain-specific cognitive performance and longitudinal correlations with prospective neurodegeneration. Here we evaluated whether regional patterns of baseline tau-PET predict prospective longitudinal decline in specific cognitive domains in early symptomatic Alzheimer's disease (AD), including participants from clinical trial cohorts.</p><p><strong>Methods: </strong>731 amyloid-positive participants with a clinical diagnosis of mild cognitive impairment (MCI) or mild AD dementia underwent a flortaucipir F 18 PET (FTP-PET), structural MRI, and neuropsychological testing with the AD Assessment Scale-Cognitive Subscale (ADAS-Cog). Cognitive assessment was repeated after 9-18 or 12-24 months. Sub-scale annualized w-scores at each time point were combined as composite scores according to domains, including episodic memory, semantic memory, executive function, language and praxis. Latent growth curve models were applied to longitudinal composite scores to estimate the rate of annual decline (slope) in each participant. Standardized uptake value ratio (SUVR) images were created using cerebellar crus as the reference region. Regional and voxel-wise correlation analyses were implemented to identify baseline FTP-PET patterns and MRI grey matter volumes associated with longitudinal changes in each cognitive domain, and to evaluate whether MRI mediates the association between FTP-PET and cognitive decline.</p><p><strong>Results: </strong>Differential FTP-PET signal patterns showed significant negative associations with domain-specific annual rates of decline. Higher temporo-parietal FTP-PET SUVR was associated with faster decline in episodic memory, while higher left anterior temporal SUVR was associated with faster decline in semantic memory. FTP-PET signal in a left-dominant fronto-temporal pattern was associated with faster decline in language, while FTP-PET signal in a right-dominant fronto-parietal pattern was associated with faster decline in praxis. Executive decline showed limited spatial associations with FTP-PET. Overall, regional and voxel-wise analyses identified similar pairwise associations between FTP-PET signal and domain-specific longitudinal decline. Baseline MRI showed weaker associations with domain-specific cognitive decline than FTP-PET, and did not mediate the predictive effect of the latter.</p><p><strong>Conclusion: </strong>Differential regional tau-PET signal patterns were associated with domain-specific cognitive decline in MCI and early AD dementia. Tau-PET may be a useful precision medicine tool to support individualized predictions of cognitive decline trajectories in early symptomatic AD.</p>","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":"17 1","pages":"220"},"PeriodicalIF":7.6000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12502172/pdf/","citationCount":"0","resultStr":"{\"title\":\"Regional tau PET patterns predict prospective domain-specific cognitive decline in early symptomatic Alzheimer's disease.\",\"authors\":\"Maura Malpetti, Saima Rathore, Leonardo Iaccarino, Renaud La Joie, Giulia Tronchin, Alette M Wessels, John R Sims, Michael J Pontecorvo, Sergey Shcherbinin, Gil D Rabinovici\",\"doi\":\"10.1186/s13195-025-01868-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Tau-PET binding patterns are heterogenous, with regional binding showing strong cross-sectional correlations with domain-specific cognitive performance and longitudinal correlations with prospective neurodegeneration. Here we evaluated whether regional patterns of baseline tau-PET predict prospective longitudinal decline in specific cognitive domains in early symptomatic Alzheimer's disease (AD), including participants from clinical trial cohorts.</p><p><strong>Methods: </strong>731 amyloid-positive participants with a clinical diagnosis of mild cognitive impairment (MCI) or mild AD dementia underwent a flortaucipir F 18 PET (FTP-PET), structural MRI, and neuropsychological testing with the AD Assessment Scale-Cognitive Subscale (ADAS-Cog). Cognitive assessment was repeated after 9-18 or 12-24 months. Sub-scale annualized w-scores at each time point were combined as composite scores according to domains, including episodic memory, semantic memory, executive function, language and praxis. Latent growth curve models were applied to longitudinal composite scores to estimate the rate of annual decline (slope) in each participant. Standardized uptake value ratio (SUVR) images were created using cerebellar crus as the reference region. Regional and voxel-wise correlation analyses were implemented to identify baseline FTP-PET patterns and MRI grey matter volumes associated with longitudinal changes in each cognitive domain, and to evaluate whether MRI mediates the association between FTP-PET and cognitive decline.</p><p><strong>Results: </strong>Differential FTP-PET signal patterns showed significant negative associations with domain-specific annual rates of decline. Higher temporo-parietal FTP-PET SUVR was associated with faster decline in episodic memory, while higher left anterior temporal SUVR was associated with faster decline in semantic memory. FTP-PET signal in a left-dominant fronto-temporal pattern was associated with faster decline in language, while FTP-PET signal in a right-dominant fronto-parietal pattern was associated with faster decline in praxis. Executive decline showed limited spatial associations with FTP-PET. Overall, regional and voxel-wise analyses identified similar pairwise associations between FTP-PET signal and domain-specific longitudinal decline. Baseline MRI showed weaker associations with domain-specific cognitive decline than FTP-PET, and did not mediate the predictive effect of the latter.</p><p><strong>Conclusion: </strong>Differential regional tau-PET signal patterns were associated with domain-specific cognitive decline in MCI and early AD dementia. Tau-PET may be a useful precision medicine tool to support individualized predictions of cognitive decline trajectories in early symptomatic AD.</p>\",\"PeriodicalId\":7516,\"journal\":{\"name\":\"Alzheimer's Research & Therapy\",\"volume\":\"17 1\",\"pages\":\"220\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2025-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12502172/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Alzheimer's Research & Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13195-025-01868-7\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer's Research & Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13195-025-01868-7","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:Tau-PET结合模式是异质性的,区域结合显示出与领域特异性认知表现的强横断面相关性,与前瞻性神经变性的纵向相关性。在这里,我们评估了基线tau-PET的区域模式是否可以预测早期症状性阿尔茨海默病(AD)特定认知领域的前瞻性纵向下降,包括来自临床试验队列的参与者。方法:731名临床诊断为轻度认知障碍(MCI)或轻度AD痴呆的淀粉样蛋白阳性参与者接受了flortaucipir f18 PET (FTP-PET)、结构MRI和AD评估量表-认知亚量表(ADAS-Cog)的神经心理学测试。9-18个月或12-24个月后再次进行认知能力评估。每个时间点的子量表年化w分数根据情景记忆、语义记忆、执行功能、语言和实践等领域合并为复合分数。将潜在增长曲线模型应用于纵向综合得分,以估计每个参与者的年下降率(斜率)。以小脑小腿为参照区,建立标准化摄取值比(SUVR)图像。采用区域和体素相关分析来确定基线FTP-PET模式和MRI灰质体积与每个认知领域的纵向变化相关,并评估MRI是否介导FTP-PET与认知衰退之间的关联。结果:不同的FTP-PET信号模式显示出与特定领域的年下降率显著负相关。较高的颞顶叶ftpet SUVR与更快的情景记忆下降有关,而较高的左前叶SUVR与更快的语义记忆下降有关。左侧主导型额颞叶模式的FTP-PET信号与语言能力的快速下降有关,而右侧主导型额顶叶模式的FTP-PET信号与实践能力的快速下降有关。执行能力下降与FTP-PET表现出有限的空间关联。总体而言,区域和体素分析发现FTP-PET信号与特定域纵向下降之间存在类似的两两关联。与FTP-PET相比,基线MRI显示与领域特异性认知衰退的关联较弱,并且不能介导后者的预测作用。结论:不同区域的tau-PET信号模式与MCI和早期AD痴呆的领域特异性认知能力下降有关。Tau-PET可能是一种有用的精准医学工具,支持对早期症状性AD的认知衰退轨迹进行个性化预测。
Regional tau PET patterns predict prospective domain-specific cognitive decline in early symptomatic Alzheimer's disease.
Background: Tau-PET binding patterns are heterogenous, with regional binding showing strong cross-sectional correlations with domain-specific cognitive performance and longitudinal correlations with prospective neurodegeneration. Here we evaluated whether regional patterns of baseline tau-PET predict prospective longitudinal decline in specific cognitive domains in early symptomatic Alzheimer's disease (AD), including participants from clinical trial cohorts.
Methods: 731 amyloid-positive participants with a clinical diagnosis of mild cognitive impairment (MCI) or mild AD dementia underwent a flortaucipir F 18 PET (FTP-PET), structural MRI, and neuropsychological testing with the AD Assessment Scale-Cognitive Subscale (ADAS-Cog). Cognitive assessment was repeated after 9-18 or 12-24 months. Sub-scale annualized w-scores at each time point were combined as composite scores according to domains, including episodic memory, semantic memory, executive function, language and praxis. Latent growth curve models were applied to longitudinal composite scores to estimate the rate of annual decline (slope) in each participant. Standardized uptake value ratio (SUVR) images were created using cerebellar crus as the reference region. Regional and voxel-wise correlation analyses were implemented to identify baseline FTP-PET patterns and MRI grey matter volumes associated with longitudinal changes in each cognitive domain, and to evaluate whether MRI mediates the association between FTP-PET and cognitive decline.
Results: Differential FTP-PET signal patterns showed significant negative associations with domain-specific annual rates of decline. Higher temporo-parietal FTP-PET SUVR was associated with faster decline in episodic memory, while higher left anterior temporal SUVR was associated with faster decline in semantic memory. FTP-PET signal in a left-dominant fronto-temporal pattern was associated with faster decline in language, while FTP-PET signal in a right-dominant fronto-parietal pattern was associated with faster decline in praxis. Executive decline showed limited spatial associations with FTP-PET. Overall, regional and voxel-wise analyses identified similar pairwise associations between FTP-PET signal and domain-specific longitudinal decline. Baseline MRI showed weaker associations with domain-specific cognitive decline than FTP-PET, and did not mediate the predictive effect of the latter.
Conclusion: Differential regional tau-PET signal patterns were associated with domain-specific cognitive decline in MCI and early AD dementia. Tau-PET may be a useful precision medicine tool to support individualized predictions of cognitive decline trajectories in early symptomatic AD.
期刊介绍:
Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.