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There is a possible accelerated biological aging in patients with substance use disorders (SUD). The evaluation of epigenetic clocks, which are accurate estimators of biological aging based on DNA methylation changes, has been limited to blood tissue in patients with SUD. Consequently, the impact of biological aging in the brain of individuals with SUD remains unknown. In this study, we evaluated multiple epigenetic clocks (DNAmAge, DNAmAgeHannum, DNAmAgeSkinBlood, DNAmPhenoAge, DNAmGrimAge, and DNAmTL) in individuals with SUD (n = 42), including alcohol (n = 10), opioid (n = 19), and stimulant use disorder (n = 13), and controls (n = 10) in postmortem brain (prefrontal cortex) and blood tissue obtained from the same individuals. We found a higher DNAmPhenoAge (β = 0.191, p-value = 0.0104) and a nominally lower DNAmTL (β = -0.149, p-value = 0.0603) in blood from individuals with SUD compared to controls. SUD subgroup analysis showed a nominally lower brain DNAmTL in subjects with alcohol use disorder, compared to stimulant use disorder and controls (β = 0.0150, p-value = 0.087). Cross-tissue analyzes indicated a lower blood DNAmTL and a higher blood DNAmAge compared to their respective brain values in the SUD group. This study highlights the relevance of tissue specificity in biological aging studies and suggests that peripheral measures of epigenetic clocks in SUD may depend on the specific type of drug used.
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http://dx.doi.org/10.1002/ajmg.b.32920 | DOI Listing |
Aging increases the global burden of disease, yet its molecular basis remains incompletely understood. Recent studies indicate that reversible epigenetic drift-spanning DNA methylation clocks, histone codes, three-dimensional chromatin, and noncoding RNA networks-constitutes a central regulator of organismal decline and age-related diseases. How these epigenetic layers interact across different tissues-and how best to translate them into therapeutic strategies-are still open questions.
View Article and Find Full Text PDFNPJ Metab Health Dis
September 2025
ATLAS Molecular Pharma, Parque Tecnológico de Bizkaia, Ed. 800, 48160, Derio, Spain.
Molecular aging clocks estimate biological age from molecular biomarkers and often outperform chronological age in predicting health outcomes. Types include epigenetic, transcriptomic, proteomic, and metabolomic clocks. NMR-based metabolomic clocks provide a non-invasive, high-throughput platform to assess metabolic health.
View Article and Find Full Text PDFAgeing Res Rev
September 2025
College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar; College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar. Electronic address:
Several strategies have emerged lately in response to the rapid increase in the aging population to enhance health and life span and manage aging challenges. Developing such strategies is imperative and requires an assessment of biological aging. Several aging clocks have recently been developed to measure biological aging and to assess the efficacy of longevity interventions.
View Article and Find Full Text PDFPsychoneuroendocrinology
August 2025
Department of Geriatrics, College of Medicine, Florida State University, USA.
Epigenetic clocks are measures of biological aging related to critical health outcomes, including mortality. The present study examined whether personality traits are related to epigenetic aging. Participants (Age range: 17-98 years, N > 6000) were from the Health and Retirement Study, the Midlife in the United States study, and the UK Household Longitudinal Study.
View Article and Find Full Text PDFAging Dis
August 2025
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
Major depressive disorder (MDD) is a prevalent mental illness characterized by significant morbidity and mortality. Cognitive impairment is a common feature of MDD, closely related to the aging process. Epigenetic aging calculated using DNA methylation is an important marker of biological aging.
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