Sex differences in epigenetic ageing for older people living with HIVResearch in context by Carrie D. Johnston, Alina P.S. Pang, Eugenia L. Siegler, Charlene Thomas, Chelsie O. Burchett, Mia Crowley, Rochelle O'Brien, Lishomwa C. Ndhlovu, Marshall J. Glesby, Michael J. Corley

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The Intersection of Epigenetics and Senolytics in Mechanisms of Aging and Therapeutic Approaches by Daiana Burdusel, Thorsten R. Doeppner, Roxana Surugiu, Dirk M. Hermann, Denissa Greta Olaru, Aurel Popa-Wagner

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Enhancing epigenetic aging clocks in cetaceans: accurate age estimations in small endangered delphinids, killer whales, pilot whales, belugas, humpbacks, and bowhead whales by Joseph A. Zoller, Ake T. Lu, Amin Haghani, Steve Horvath, Todd Robeck

Subjects: “…Epigenetic clock…”
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Assessment of relationships between epigenetic age acceleration and multiple sclerosis: a bidirectional mendelian randomization study by Hongwei Liu, Hanqing Zhang, Zhaoxu Yin, Miaomiao Hou

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Epigenetic age acceleration and methylation differences in IgG4-related cholangitis and primary sclerosing cholangitis by Alexandra Noble, Rodrigo Motta, Silvia Cabras, Belen Moron Flores, Jan Nowak, Aleksandra Glapa-Nowak, Alessandra Geremia, Jack Satsangi, Emma Culver

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Mitochondrial DNA variants and their impact on epigenetic and biological aging in young adulthood by Klara Mareckova, Ana Paula Mendes-Silva, Martin Jáni, Anna Pacinkova, Pavel Piler, Vanessa F. Gonçalves, Yuliya S. Nikolova

“…A subset of these participants (n = 69) also had epigenetic data to estimate epigenetic aging in the early 20s using Horvath’s epigenetic clock. The novel FI score was calculated based on 7 potentially pathogenic mtDNA variants. …”
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A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits. by Dennis Khodasevich, Nina Holland, Lars van der Laan, Andres Cardenas

“…<h4>Background</h4>DNA methylation (DNAm) provides a window to characterize the impacts of environmental exposures and the biological aging process. Epigenetic clocks are often trained on DNAm using penalized regression of CpG sites, but recent evidence suggests potential benefits of training epigenetic predictors on principal components.…”
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Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease by David Martínez-Enguita, Thomas Hillerton, Julia Åkesson, Daniel Kling, Maria Lerm, Mika Gustafsson

“…We showcased the practical applicability of this approach by identifying candidate mechanisms underlying the altered pace of aging observed in pediatric Crohn’s disease.DiscussionIn this study, we present a deep neural network epigenetic clock, named NCAE-CombClock, that improves age prediction accuracy in large datasets, and a suite of explainable neural network clocks for robust age classification across youth. …”
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The association of visceral and subcutaneous fat areas with phenotypic age in non-elderly adults, mediated by HOMA-IR and HDL-C by Yuanhong Liu, Min Xu, Liqing Wang, Linyun Meng, Mengran Li, Shumin Mu

“…Abstract Background Ageing results in diminished adaptability, as well as declines in physiological and psychological functions and resilience. The epigenetic clock ‘Phenotypic Age’ (PhenoAge) represents ‘preclinical ageing’. …”
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Non-pharmaceutical interventions and epigenetic aging in adults: Protocol for a scoping review. by Alina Liebich, Shenglin Zheng, Theresa Schachner, Jacqueline Mair, Mia Jovanova, Falk Müller-Riemenschneider, Tobias Kowatsch

“…Several non-pharmaceutical interventions can lower the risk of NCDs, including common mental disorders (CMDs), and may slow down biological aging, as evidenced by outcome markers such as epigenetic clocks. However, a comprehensive overview of whether and which non-pharmaceutical interventions may impact human epigenetic aging is missing. …”
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