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      Diet, Pace of Biological Aging, and Risk of Dementia in the Framingham Heart Study

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          Abstract

          Objective

          People who eat healthier diets are less likely to develop dementia, but the biological mechanism of this protection is not well understood. We tested the hypothesis that healthy diet protects against dementia because it slows the pace of biological aging.

          Methods

          We analyzed Framingham Offspring Cohort data. We included participants ≥60 years‐old, free of dementia and having dietary, epigenetic, and follow‐up data. We assessed healthy diet as long‐term adherence to the Mediterranean‐Dash Intervention for Neurodegenerative Delay diet (MIND, over 4 visits spanning 1991–2008). We measured the pace of aging from blood DNA methylation data collected in 2005–2008 using the DunedinPACE epigenetic clock. Incident dementia and mortality were defined using study records compiled from 2005 to 2008 visit through 2018.

          Results

          Of n = 1,644 included participants (mean age 69.6, 54% female), n = 140 developed dementia and n = 471 died over 14 years of follow‐up. Greater MIND score was associated with slower DunedinPACE and reduced risks for dementia and mortality. Slower DunedinPACE was associated with reduced risks for dementia and mortality. In mediation analysis, slower DunedinPACE accounted for 27% of the diet‐dementia association and 57% of the diet‐mortality association.

          Interpretation

          Findings suggest that slower pace of aging mediates part of the relationship of healthy diet with reduced dementia risk. Monitoring pace of aging may inform dementia prevention. However, a large fraction of the diet‐dementia association remains unexplained and may reflect direct connections between diet and brain aging that do not overlap other organ systems. Investigation of brain‐specific mechanisms in well‐designed mediation studies is warranted. ANN NEUROL 2024

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          Most cited references52

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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            The Hallmarks of Aging

            Aging is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death. This deterioration is the primary risk factor for major human pathologies, including cancer, diabetes, cardiovascular disorders, and neurodegenerative diseases. Aging research has experienced an unprecedented advance over recent years, particularly with the discovery that the rate of aging is controlled, at least to some extent, by genetic pathways and biochemical processes conserved in evolution. This Review enumerates nine tentative hallmarks that represent common denominators of aging in different organisms, with special emphasis on mammalian aging. These hallmarks are: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, deregulated nutrient sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, and altered intercellular communication. A major challenge is to dissect the interconnectedness between the candidate hallmarks and their relative contributions to aging, with the final goal of identifying pharmaceutical targets to improve human health during aging, with minimal side effects. Copyright © 2013 Elsevier Inc. All rights reserved.
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              Is Open Access

              An epigenetic biomarker of aging for lifespan and healthspan

              Identifying reliable biomarkers of aging is a major goal in geroscience. While the first generation of epigenetic biomarkers of aging were developed using chronological age as a surrogate for biological age, we hypothesized that incorporation of composite clinical measures of phenotypic age that capture differences in lifespan and healthspan may identify novel CpGs and facilitate the development of a more powerful epigenetic biomarker of aging. Using an innovative two-step process, we develop a new epigenetic biomarker of aging, DNAm PhenoAge, that strongly outperforms previous measures in regards to predictions for a variety of aging outcomes, including all-cause mortality, cancers, healthspan, physical functioning, and Alzheimer's disease. While this biomarker was developed using data from whole blood, it correlates strongly with age in every tissue and cell tested. Based on an in-depth transcriptional analysis in sorted cells, we find that increased epigenetic, relative to chronological age, is associated with increased activation of pro-inflammatory and interferon pathways, and decreased activation of transcriptional/translational machinery, DNA damage response, and mitochondrial signatures. Overall, this single epigenetic biomarker of aging is able to capture risks for an array of diverse outcomes across multiple tissues and cells, and provide insight into important pathways in aging.
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                Author and article information

                Contributors
                Journal
                Annals of Neurology
                Annals of Neurology
                Wiley
                0364-5134
                1531-8249
                February 26 2024
                Affiliations
                [1 ] Taub Institute for Research on Alzheimer's Disease and the Aging Brain Columbia University New York NY USA
                [2 ] Department of Neurology Columbia University New York NY USA
                [3 ] Butler Columbia Aging Center Columbia University Mailman School of Public Health New York NY USA
                [4 ] Department of Psychology and Neuroscience Duke University Durham NC USA
                [5 ] Department of Biostatistics Columbia University New York NY USA
                [6 ] Department of Epidemiology, Joseph P. Mailman School of Public Health Columbia University New York NY USA
                [7 ] Gertrude H. Sergievsky Center Columbia University New York NY USA
                Article
                10.1002/ana.26900
                0e98bacc-b028-49e0-a6da-37b118428260
                © 2024

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