CEND1 and MIR885 methylation changes associated with successful cognitive aging in community-dwelling older adults

2022 ◽  
pp. 111704
Author(s):  
Jongmin Park ◽  
Yunji Lee ◽  
Chang Won Won
2019 ◽  
Vol 33 (3) ◽  
pp. 406-416 ◽  
Author(s):  
Emilie T. Reas ◽  
Gail A. Laughlin ◽  
Jaclyn Bergstrom ◽  
Donna Kritz-Silverstein ◽  
Elizabeth Barrett-Connor ◽  
...  

2021 ◽  
pp. 109980042098389
Author(s):  
Jongmin Park ◽  
Chang Won Won ◽  
Leorey N. Saligan ◽  
Youn-Jung Kim ◽  
Yoonju Kim ◽  
...  

Background: Epigenetic age acceleration has been studied as a promising biomarker of age-related conditions, including cognitive aging. This pilot study aims to explore potential cognitive aging-related biomarkers by investigating the relationship of epigenetic age acceleration and cognitive function and by examining the epigenetic age acceleration differences between successful cognitive aging (SCA) and normal cognitive aging (NCA) among Korean community-dwelling older adults (CDOAs). Methods: We used data and blood samples of Korean CDOAs from the Korean Frailty and Aging Cohort Study. The participants were classified into two groups, SCA (above the 50th percentile in all domains of cognitive function) and NCA. The genome-wide DNA methylation profiling array using Illumina Infinium MethylationEPIC BeadChip was used to calculate the following: the DNA methylation age, universal epigenetic age acceleration, intrinsic epigenetic age acceleration (IEAA), and extrinsic epigenetic age acceleration (EEAA). We also used Pearson correlation analysis and independent t-tests to analyze the data. Results: Universal age acceleration correlated with the Frontal Assessment Battery test results ( r = −0.42, p = 0.025); the EEAA correlated with the Word List Recognition test results ( r = −0.41, p = 0.027). There was a significant difference between SCA and NCA groups in IEAA ( p = 0.041, Cohen’s d = 0.82) and EEAA ( p = 0.042, Cohen’s d = 0.78). Conclusions: Epigenetic age acceleration can be used as a biomarker for early detection of cognitive decline in Korean community-dwelling older adults. Large longitudinal studies are warranted.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 348-349
Author(s):  
Su-I Hou ◽  
Chien-Ching Li ◽  
Darren Liu

Abstract As healthcare advances, older adults are living longer. While 90% of older adults prefer aging in their own homes and communities, it is important to examine key factors influencing healthy aging-in-community and community-based long-term care (LTC) services available in different countries. This symposium examines behavioral health, social engagement, and LTC services utilization among community-dwelling older adults in the USA and Taiwan. Lessons learned from older adults across countries will provide insights for tailored community-based LTC services and program development. Dr. Hou from The University of Central Florida (UCF) will highlight similarities and differences in behavioral health profiles and the topics that most interest community-dwelling older Americans participating in three aging-in-community programs in Central Florida. Dr. Wang from Case Western Reserve University will examine the impact of neighborhood social cohesion on mobility among community-dwelling older Americans aged 65 and older from the national Health and Retirement Study. Dr. Liu from National Cheng-Kung University in Taiwan will share results of healthy lifestyle on quality of life among community-dwelling older adults in southern Taiwan. Dr. Young from State University of New York at Albany will compare long-term care use among community-dwelling older adults with and without dementia in Central Taiwan. Finally, Drs. Cao and Hou from UCF will analyze home and community-based services in the USA versus Taiwan. This symposium will further discuss similarities and differences of key factors related to healthy aging-in-community, along with practical recommendations and lessons learned across countries and cultural environments to improve community-based long-term care services and programs.


2020 ◽  
Vol 14 (1) ◽  
pp. 36-43 ◽  
Author(s):  
Junghee Kim ◽  
Hyeonkyeong Lee ◽  
Eunhee Cho ◽  
Kyung Hee Lee ◽  
Chang Gi Park ◽  
...  

2017 ◽  
Vol 13 (7) ◽  
pp. P1463
Author(s):  
Hamid R. Sohrabi ◽  
Samantha L. Gardener ◽  
Michael Weinborn ◽  
Kaikai Shen ◽  
Stephanie R. Rainey-Smith ◽  
...  

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 650-650
Author(s):  
Zimu Wu ◽  
Robyn Woods ◽  
Elsdon Storey ◽  
Trevor Chong ◽  
Raj Shah ◽  
...  

Abstract There is variability in cognitive aging between individuals. This study aimed to investigate cognitive aging trajectories, the associated modifiable factors, and the association of these trajectories with dementia. Community-dwelling older adults (n=19,114) without dementia or major cognitive impairment at inclusion were followed for up to 7 years, with regular standardized cognitive assessments. Group-based (multi-) trajectory modeling identified distinct cognitive trajectories. Structural equation modeling (n=16,018) was used to analyze the associated predictors. Four to seven trajectories were identified per cognitive domain, with generally stable trajectories. Improvement in verbal fluency and minor psychomotor slowing were common. Substantial decline in global cognition and episodic memory were observed in a small proportion of individuals. The highest proportions of dementia cases were in trajectories with major decline in global cognition (56.9%) and memory (33.2%). A number of sociodemographic characteristics, health behaviors and chronic conditions were either directly or indirectly associated with cognitive change in older adults. This study found that some individuals appear resilient to cognitive decline even with advancing age, and that factors that promote healthy cognitive aging are not simply the absence of factors which confer risk for decline.


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