TU43. SCARS OF SOCIOECONOMIC STRESS: EPIGENETIC AGE

Abstract Background Cardiovascular health (CVH) has been defined by the American Heart Association (AHA) as the presence of the “Life’s Simple 7” ideal lifestyle and clinical factors. CVH is known to predict longevity and freedom from cardiovascular disease, the leading cause of death for women in the United States. DNA methylation markers of aging have been aggregated into a composite epigenetic age score, which is associated with cardiovascular morbidity and mortality. However, it is unknown whether poor CVH is associated with acceleration of aging as measured by DNA methylation markers in epigenetic age. Methods and results We performed a cross-sectional analysis of racially/ethnically diverse post-menopausal women enrolled in the Women’s Health Initiative cohort recruited between 1993 and 1998. Epigenetic age acceleration (EAA) was calculated using DNA methylation data on a subset of participants and the published Horvath and Hannum methods for intrinsic and extrinsic EAA. CVH was calculated using the AHA measures of CVH contributing to a 7-point score. We examined the association between CVH score and EAA using linear regression modeling adjusting for self-reported race/ethnicity and education. Among the 2,170 participants analyzed, 50% were white and mean age was 64 (7 SD) years. Higher or more favorable CVH scores were associated with lower extrinsic EAA (~ 6 months younger age per 1 point higher CVH score, p < 0.0001), and lower intrinsic EAA (3 months younger age per 1 point higher CVH score, p < 0.028). Conclusions These cross-sectional observations suggest a possible mechanism by which ideal CVH is associated with greater longevity.

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Accelerated Epigenetic Age in Normal Cognitive Aging of Korean Community-Dwelling Older Adults

Biological Research For Nursing ◽

10.1177/1099800420983896 ◽

2021 ◽

pp. 109980042098389

Author(s):

Jongmin Park ◽

Chang Won Won ◽

Leorey N. Saligan ◽

Youn-Jung Kim ◽

Yoonju Kim ◽

...

Keyword(s):

Older Adults ◽

Dna Methylation ◽

Cognitive Function ◽

Cognitive Aging ◽

Community Dwelling ◽

Test Results ◽

Cohen’S D ◽

Epigenetic Age ◽

Epigenetic Age Acceleration ◽

Community Dwelling Older Adults

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.

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EPCO-25. AN IMMUNOMETHYLOMIC PLATFORM INTEGRATING SYSTEMIC IMMUNE PROFILES AND EPIGENETIC AGE IN NEURO-ONCOLOGY

Neuro-Oncology ◽

10.1093/neuonc/noaa215.304 ◽

2020 ◽

Vol 22 (Supplement_2) ◽

pp. ii74-ii74

Author(s):

Annette Molinaro ◽

John Wiencke ◽

Gayathri Warrier ◽

JiYoon Lee ◽

Devin Koestler ◽

...

Keyword(s):

Immune Cell ◽

Independent Set ◽

Survival Models ◽

Brier Score ◽

Biological Aging ◽

Survival Times ◽

Bootstrap Sampling ◽

Final Model ◽

Epigenetic Age ◽

Cell Fractions

Abstract Lineage-specific DNA methylation marks differentiate leukocyte cell types while individual biological aging mechanisms impact other methylation alterations. Human glioma incidence and survival times have been shown to be associated with aberrant immune profiles and have a strong dependency on age. Here we developed a single epigenetic analysis framework to evaluate both immune cell fractions and epigenetic age in peripheral blood. We examined these measures in archived blood from 197 triple-negative glioma patients (TNG; IDH wildtype, 1p19q intact and TERT wildtype) and 312 frequency-matched controls from the SF Bay Area Adult Glioma Study (AGS). Significant differences were observed with TNG cases having lower CD4 and CD8 T cell, natural killer, and B cell fractions, and higher neutrophil fractions than controls. TNG cases were significantly older than controls in two of three epigenetic age estimates; however, there was no difference in epigenetic age acceleration once immune cell proportions were considered. For the TNG cases, we augmented results from several machine learning methods to delineate risk groups of TNG patients with significantly different overall survival. We compared survival models built by recursive partitioning, random forest, and elastic net methods. The final model was chosen by repeated bootstrap sampling via the Brier score loss function and validated in an independent set of 72 IDH-mutant only or TERT-mutant only glioma patients also from the AGS. The final model indicated important interactions between immune cell fractions (including CD4 and CD8 T cells and neutrophils) and treatment, age, and dexamethasone status when adjusted for the main effects of epigenetic age, glioblastoma status, and the neutrophil-to-lymphocyte ratio. The capacity of immunomethylomics to capture diverse, clinically relevant information and the simplicity of its implementation make this a powerful tool for personalized patient evaluation in the neuro-oncology clinic.

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The acute effects of adjuvant radiation and chemotherapy on peripheral blood epigenetic age in early stage breast cancer patients

npj Breast Cancer ◽

10.1038/s41523-020-0161-3 ◽

2020 ◽

Vol 6 (1) ◽

Cited By ~ 3

Author(s):

Mary E. Sehl ◽

Judith E. Carroll ◽

Steve Horvath ◽

Julienne E. Bower

Keyword(s):

Breast Cancer ◽

Cancer Patients ◽

Peripheral Blood ◽

Early Stage ◽

Early Stage Breast Cancer ◽

Adjuvant Radiation ◽

Breast Cancer Patients ◽

Acute Effects ◽

Epigenetic Age

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Epigenetic age signatures in the forensically relevant body fluid of semen: a preliminary study

Forensic Science International Genetics ◽

10.1016/j.fsigen.2015.05.014 ◽

2015 ◽

Vol 19 ◽

pp. 28-34 ◽

Cited By ~ 54

Author(s):

Hwan Young Lee ◽

Sang-Eun Jung ◽

Yu Na Oh ◽

Ajin Choi ◽

Woo Ick Yang ◽

...

Keyword(s):

Body Fluid ◽

Epigenetic Age ◽

Preliminary Study

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The early-life exposome and epigenetic age acceleration in children

Environment International ◽

10.1016/j.envint.2021.106683 ◽

2021 ◽

Vol 155 ◽

pp. 106683

Author(s):

Paula de Prado-Bert ◽

Carlos Ruiz-Arenas ◽

Marta Vives-Usano ◽

Sandra Andrusaityte ◽

Solène Cadiou ◽

...

Keyword(s):

Early Life ◽

Epigenetic Age ◽

Epigenetic Age Acceleration

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Epigenetic age prediction

Aging Cell ◽

10.1111/acel.13452 ◽

2021 ◽

Author(s):

Daniel J. Simpson ◽

Tamir Chandra

Keyword(s):

Epigenetic Age ◽

Age Prediction

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Maternal Dietary Fatty Acid Composition and Newborn Epigenetic Aging—A Geometric Framework Approach

American Journal of Clinical Nutrition ◽

10.1093/ajcn/nqab318 ◽

2021 ◽

Author(s):

Nicholas A Koemel ◽

Alistair M Senior ◽

Hasthi U Dissanayake ◽

Jason Ross ◽

Rowena L McMullan ◽

...

Keyword(s):

Newborn Infants ◽

Intima Media Thickness ◽

Response Surfaces ◽

Geometric Framework ◽

Body Fatness ◽

Epigenetic Aging ◽

Epigenetic Age ◽

Framework Approach ◽

Epigenetic Age Acceleration ◽

Aortic Intima

Abstract Background Maternal nutrition is associated with epigenetic and cardiometabolic risk factors in offspring. Research in humans has primarily focused on assessing the impact of individual nutrients. Objective We sought to assess the collective impact of maternal dietary monounsaturated (MUFA), polyunsaturated (PUFA), and saturated fat (SFA) on epigenetic aging and cardiometabolic risk markers in healthy newborn infants using a geometric framework approach. Design Body fatness (n = 162), aortic intima-media thickness (n = 131), heart rate variability (n = 118), and epigenetic age acceleration (n = 124) were assessed in newborn infants. Maternal dietary intake was cross-sectionally assessed in the immediate postpartum period via a validated 80-item self-administered food-frequency questionnaire. Generalized additive models were used to explore interactive associations of nutrient intake, with results visualized as response surfaces. Results After adjustment for total energy intake, maternal age, gestational age, and sex there was a 3-way interactive association of MUFA, PUFA, and SFA (P = 0.001) with newborn epigenetic aging. This suggests that the nature of each fat class association depends upon one another. Response surfaces revealed MUFA was positively associated with newborn epigenetic age acceleration only at proportionately lower intakes of SFA or PUFA. We also demonstrate a potential beneficial association of omega-3 PUFA with newborn epigenetic age acceleration (P = 0.008). There was no significant association of fat class with newborn aortic intima-media thickness, heart rate variability, or body fatness. Conclusions In this study, we demonstrate an association between maternal dietary fat class composition and epigenetic aging in newborns. Future research should consider other characteristics such as the source of maternal dietary fatty acids.

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Abstract 71: Accelerated Epigenetic Age among HIV-infected Nigerian Women with Invasive Cervical Cancer

10.1158/1538-7755.asgcr21-71 ◽

2021 ◽

Author(s):

Jonah Musa ◽

Kyeezu Kim ◽

Yinan Zheng ◽

Yishu Qu ◽

Brian Joyce ◽

...

Keyword(s):

Cervical Cancer ◽

Invasive Cervical Cancer ◽

Nigerian Women ◽

Epigenetic Age

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