Niklas Behrenbruch,Svenja Schwarck,Beate Schumann-Werner,Eóin N Molloy,Berta Garcia-Garcia,Anne Hochkeppler,Larissa Fischer,Anna-Therese Büchel,Enise I Incesoy,Jose Bernal,Niklas Vockert,Patrick Müller,Gusalija Behnisch,Bárbara Morgado,Hermann Esselmann,Constanze I Seidenbecher,Björn H Schott,Henryk Barthel,Osama Sabri,Jens Wiltfang,Michael C Kreissl,Emrah Düzel,Anne Maass
{"title":"A physically and mentally active lifestyle relates to younger brain and cognitive age.","authors":"Niklas Behrenbruch,Svenja Schwarck,Beate Schumann-Werner,Eóin N Molloy,Berta Garcia-Garcia,Anne Hochkeppler,Larissa Fischer,Anna-Therese Büchel,Enise I Incesoy,Jose Bernal,Niklas Vockert,Patrick Müller,Gusalija Behnisch,Bárbara Morgado,Hermann Esselmann,Constanze I Seidenbecher,Björn H Schott,Henryk Barthel,Osama Sabri,Jens Wiltfang,Michael C Kreissl,Emrah Düzel,Anne Maass","doi":"10.1007/s11357-025-01764-w","DOIUrl":null,"url":null,"abstract":"Resistance to age-related pathological changes (brain maintenance), including Alzheimer's disease, cerebrovascular disease, and neurodegeneration may promote cognitive resilience in aging. However, how lifestyle and health profiles relate to successful cognitive and brain aging remains poorly understood. In a novel, deeply phenotyped cohort of 211 cognitively unimpaired older adults (age = 71.0 ± 7.4 years, 46% female), we characterized principal components of lifestyle and health using questionnaire, fitness, and blood data. We estimated cognitive age gap (CAG) based on comprehensive neuropsychological data and brain age gap (BAG) based on brain-pathology markers, including plasma biomarkers of Alzheimer's pathology (pTau217 and Aβ1-42/Aβ1-40), MRI-based measures of white matter hyperintensities, perivascular spaces, and brain atrophy. Regression analyses tested how the observed lifestyle-health profiles were related to CAG and BAG. Seven principal components explained 49% of the variance in health and lifestyle. The second component, characterized by a mentally and physically active life and low cardiovascular risk, was associated with lower CAG (β = - 0.66, p < 0.001) and BAG (β = - 0.52, p = 0.003), reflecting a younger-than-expected brain and cognitive age, respectively. The association of an active lifestyle and lower CAG was partially mediated by BAG. Higher CAG was also associated with other lifestyle components characterized by low mental stimulation. APOE-ε4 carriers exhibited higher BAG. In conclusion, a lifestyle combining low cardiovascular risk, high mental engagement throughout life and high physical activity/fitness is jointly associated with less-than-expected brain pathology and better-than-expected cognitive performance, supporting its involvement in brain maintenance and cognitive resilience to aging.","PeriodicalId":12730,"journal":{"name":"GeroScience","volume":"11 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GeroScience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11357-025-01764-w","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Resistance to age-related pathological changes (brain maintenance), including Alzheimer's disease, cerebrovascular disease, and neurodegeneration may promote cognitive resilience in aging. However, how lifestyle and health profiles relate to successful cognitive and brain aging remains poorly understood. In a novel, deeply phenotyped cohort of 211 cognitively unimpaired older adults (age = 71.0 ± 7.4 years, 46% female), we characterized principal components of lifestyle and health using questionnaire, fitness, and blood data. We estimated cognitive age gap (CAG) based on comprehensive neuropsychological data and brain age gap (BAG) based on brain-pathology markers, including plasma biomarkers of Alzheimer's pathology (pTau217 and Aβ1-42/Aβ1-40), MRI-based measures of white matter hyperintensities, perivascular spaces, and brain atrophy. Regression analyses tested how the observed lifestyle-health profiles were related to CAG and BAG. Seven principal components explained 49% of the variance in health and lifestyle. The second component, characterized by a mentally and physically active life and low cardiovascular risk, was associated with lower CAG (β = - 0.66, p < 0.001) and BAG (β = - 0.52, p = 0.003), reflecting a younger-than-expected brain and cognitive age, respectively. The association of an active lifestyle and lower CAG was partially mediated by BAG. Higher CAG was also associated with other lifestyle components characterized by low mental stimulation. APOE-ε4 carriers exhibited higher BAG. In conclusion, a lifestyle combining low cardiovascular risk, high mental engagement throughout life and high physical activity/fitness is jointly associated with less-than-expected brain pathology and better-than-expected cognitive performance, supporting its involvement in brain maintenance and cognitive resilience to aging.
GeroScienceMedicine-Complementary and Alternative Medicine
CiteScore
10.50
自引率
5.40%
发文量
182
期刊介绍:
GeroScience is a bi-monthly, international, peer-reviewed journal that publishes articles related to research in the biology of aging and research on biomedical applications that impact aging. The scope of articles to be considered include evolutionary biology, biophysics, genetics, genomics, proteomics, molecular biology, cell biology, biochemistry, endocrinology, immunology, physiology, pharmacology, neuroscience, and psychology.