Ethan T Whitman, Maxwell L Elliott, Annchen R Knodt, Wickliffe C Abraham, Tim J Anderson, Nicholas J Cutfield, Sean Hogan, David Ireland, Tracy R Melzer, Sandhya Ramrakha, Karen Sugden, Reremoana Theodore, Benjamin S Williams, Avshalom Caspi, Terrie E Moffitt, Ahmad R Hariri
{"title":"DunedinPACNI从单个大脑图像中估计衰老的纵向速度，以跟踪健康和疾病。","authors":"Ethan T Whitman, Maxwell L Elliott, Annchen R Knodt, Wickliffe C Abraham, Tim J Anderson, Nicholas J Cutfield, Sean Hogan, David Ireland, Tracy R Melzer, Sandhya Ramrakha, Karen Sugden, Reremoana Theodore, Benjamin S Williams, Avshalom Caspi, Terrie E Moffitt, Ahmad R Hariri","doi":"10.1038/s43587-025-00897-z","DOIUrl":null,"url":null,"abstract":"<p><p>To understand how aging affects functional decline and increases disease risk, it is necessary to develop measures of how fast a person is aging. Using data from the Dunedin Study, we introduce an accurate and reliable measure for the rate of longitudinal aging derived from cross-sectional brain magnetic resonance imaging, that is, the Dunedin Pace of Aging Calculated from NeuroImaging (DunedinPACNI). Exporting this measure to the Alzheimer's Disease Neuroimaging Initiative, UK Biobank and BrainLat datasets revealed that faster DunedinPACNI predicted cognitive impairment, accelerated brain atrophy and conversion to diagnosed dementia. Faster DunedinPACNI also predicted physical frailty, poor health, future chronic diseases and mortality in older adults. When compared to brain age gap, DunedinPACNI was similarly or more strongly related to clinical outcomes. DunedinPACNI is a next-generation brain magnetic resonance imaging biomarker that can help researchers explore aging effects on health outcomes and evaluate the effectiveness of antiaging strategies.</p>","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":" ","pages":""},"PeriodicalIF":17.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease.\",\"authors\":\"Ethan T Whitman, Maxwell L Elliott, Annchen R Knodt, Wickliffe C Abraham, Tim J Anderson, Nicholas J Cutfield, Sean Hogan, David Ireland, Tracy R Melzer, Sandhya Ramrakha, Karen Sugden, Reremoana Theodore, Benjamin S Williams, Avshalom Caspi, Terrie E Moffitt, Ahmad R Hariri\",\"doi\":\"10.1038/s43587-025-00897-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To understand how aging affects functional decline and increases disease risk, it is necessary to develop measures of how fast a person is aging. Using data from the Dunedin Study, we introduce an accurate and reliable measure for the rate of longitudinal aging derived from cross-sectional brain magnetic resonance imaging, that is, the Dunedin Pace of Aging Calculated from NeuroImaging (DunedinPACNI). Exporting this measure to the Alzheimer's Disease Neuroimaging Initiative, UK Biobank and BrainLat datasets revealed that faster DunedinPACNI predicted cognitive impairment, accelerated brain atrophy and conversion to diagnosed dementia. Faster DunedinPACNI also predicted physical frailty, poor health, future chronic diseases and mortality in older adults. When compared to brain age gap, DunedinPACNI was similarly or more strongly related to clinical outcomes. DunedinPACNI is a next-generation brain magnetic resonance imaging biomarker that can help researchers explore aging effects on health outcomes and evaluate the effectiveness of antiaging strategies.</p>\",\"PeriodicalId\":94150,\"journal\":{\"name\":\"Nature aging\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":17.0000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature aging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1038/s43587-025-00897-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature aging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s43587-025-00897-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease.
To understand how aging affects functional decline and increases disease risk, it is necessary to develop measures of how fast a person is aging. Using data from the Dunedin Study, we introduce an accurate and reliable measure for the rate of longitudinal aging derived from cross-sectional brain magnetic resonance imaging, that is, the Dunedin Pace of Aging Calculated from NeuroImaging (DunedinPACNI). Exporting this measure to the Alzheimer's Disease Neuroimaging Initiative, UK Biobank and BrainLat datasets revealed that faster DunedinPACNI predicted cognitive impairment, accelerated brain atrophy and conversion to diagnosed dementia. Faster DunedinPACNI also predicted physical frailty, poor health, future chronic diseases and mortality in older adults. When compared to brain age gap, DunedinPACNI was similarly or more strongly related to clinical outcomes. DunedinPACNI is a next-generation brain magnetic resonance imaging biomarker that can help researchers explore aging effects on health outcomes and evaluate the effectiveness of antiaging strategies.
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