Online ISSN: 1945-4589
www.aging-us.com
About Aging
Launched in 2009, Aging 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 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.

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The Senescence-Associated Secretory Phenotype Induces Neuroendocrine Transdifferentiation

Aging

May 12, 2023
PRESS RELEASE: A new editorial paper was published in Aging's Volume 15, Issue 8, entitled, “The senescence-associated secretory phenotype induces neuroendocrine transdifferentiation.” continue reading »

An Epigenetic Approach to Modulating Aging With Nutrition and Exercise

Aging

May 10, 2023
PRESS RELEASE: A new review paper was published in Aging's Volume 15, Issue 8, entitled, “How can we modulate aging through nutrition and physical exercise? An epigenetic approach.” continue reading »

Single-Cell Transcriptomic Analysis Uncovers Diverse and Dynamic Senescent Cell Populations

Aging

May 9, 2023
PRESS RELEASE: A new research paper was published in Aging's Volume 15, Issue 8, entitled, “Single-cell transcriptomic analysis uncovers diverse and dynamic senescent cell populations.” continue reading »

Behind the Study: PandaOmics Identifies Dual-Purpose Therapeutic Targets Implicated in Aging, Glioblastoma

Aging

May 9, 2023
Geoffrey Leung and Dr. Doris Leung, Senior Application Scientists from Insilico Medicine Hong Kong Ltd., detail a research paper they co-authored that was published by Aging (Aging-US) in Volume 15, Issue 8, entitled, “Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics – an AI-enabled biological target discovery platform.” continue reading »

The Brain Age Gap

Aging

May 4, 2023
In a new editorial, researchers at the Mayo Clinic discuss their recent study using artificial intelligence and machine learning to estimate brain age and to identify and predict neurodegenerative disorders. continue reading »