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Last Posted: Apr 16, 2024
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Health-Related quality of life and DNA Methylation-Based aging biomarkers among survivors of childhood cancer.
Noel-Marie Plonski et al. J Natl Cancer Inst 2024 3

From the abstract: "Childhood cancer survivors are at high risk for morbidity and mortality and poor patient-reported outcomes, typically health-related-quality-of-life (HRQOL). However, associations between DNA methylation (DNAm)-based aging biomarkers and HRQOL have not been evaluated. DNAm was generated with Infinium EPIC BeadChip on blood-derived DNA (median[range] for age at blood draw?=?34.5[18.5-66.6] years) and HRQOL was assessed with age at survey (32.3[18.4-64.5] years) from 2,206 survivors in the St Jude Lifetime Cohort. "

Educational Mobility, Pace of Aging, and Lifespan Among Participants in the Framingham Heart Study
GH Graaf et al, JAMA Network Open, March 1, 2024

From the abstract: " Is upward educational mobility associated with a slower pace of biological aging and increased longevity? In this cohort study of 3101 participants representing 2 generations of the Framingham Heart Study, upward educational mobility was associated with a slower pace of aging (as measured with whole-blood DNA-methylation data) and lower risk of death. Slower pace of aging accounted for approximately half of the association between educational mobility and mortality. These results suggest that interventions to promote educational attainment may slow the pace of biological aging and promote longevity. "

Validation of biomarkers of aging.
Mahdi Moqri et al. Nat Med 2024 2

From the abstract: "The search for biomarkers that quantify biological aging (particularly ‘omic’-based biomarkers) has intensified in recent years. Such biomarkers could predict aging-related outcomes and could serve as surrogate endpoints for the evaluation of interventions promoting healthy aging and longevity. However, no consensus exists on how biomarkers of aging should be validated before their translation to the clinic. Here, we review current efforts to evaluate the predictive validity of omic biomarkers of aging in population studies, discuss challenges in comparability and generalizability. "

Organ aging signatures in the plasma proteome track health and disease.
Hamilton Se-Hwee Oh et al. Nature 2023 12 (7990) 164-172

From the abstract: "Using machine learning models, we analysed aging in 11 major organs and estimated organ age reproducibly in five independent cohorts encompassing 5,676 adults across the human lifespan. We discovered nearly 20% of the population show strongly accelerated age in one organ and 1.7% are multi-organ agers. Accelerated organ aging confers 20–50% higher mortality risk, and organ-specific diseases relate to faster aging of those organs. We find individuals with accelerated heart aging have a 250% increased heart failure risk and accelerated brain and vascular aging predict Alzheimer’s disease (AD) progression. "

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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

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