Aging-US published this trending research paper as the cover for Volume 14, Issue 13, entitled, "Epigenetic clocks and their association with trajectories in perceived discrimination and depressive symptoms among US middle-aged and older adults" by researchers from Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD; Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA; Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD; Department of Demography, University of California Berkeley, Berkeley, CA. DOI - https://doi.org/10.18632/aging.204150 Corresponding author - May A. Beydoun - baydounm@mail.nih.gov Abstract In this article, we present a deep learning model of human psychology that can predict one’s current age and future well-being. We used the model to demonstrate that one’s baseline well-being is not the determining factor of future well-being, as posited by hedonic treadmill theory. Further, we have created a 2D map of human psychotypes and identified the regions that are most vulnerable to depression. This map may be used to provide personalized recommendations for maximizing one’s future well-being. Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204150 Press release - https://www.aging-us.com/news_room/epigenetic-clocks-and-their-association-with-perceived-discrimination-and-depressive-symptoms Keywords - aging, DNA methylation, epigenetic clocks, biological age, perceived discrimination, depressive symptoms About Aging-US Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways. Please visit our website at https://www.Aging-US.com and connect with us: SoundCloud - https://soundcloud.com/Aging-Us Facebook - https://www.facebook.com/AgingUS/ Twitter - https://twitter.com/AgingJrnl Instagram - https://www.instagram.com/agingjrnl/ YouTube - https://www.youtube.com/agingus LinkedIn - https://www.linkedin.com/company/aging/ Pinterest - https://www.pinterest.com/AgingUS/ Aging-US is published by Impact Journals, LLC: http://www.ImpactJournals.com Media Contact 18009220957 MEDIA@IMPACTJOURNALS.COM
Analytical TechniquesBioprocessingCell ScienceMolecular Biology