Multi-omics aging integrates data from genomics, epigenomics, transcriptomics, proteomics, and metabolomics to capture aging as a systems-level process. Aging involves coordinated changes across molecular layers rather than isolated alterations. Multi-omics approaches reveal how disruptions in gene regulation, protein networks, and metabolic pathways interact to drive aging phenotypes. This integration enables identification of shared aging signatures across tissues and individuals. Multi-omics aging improves resolution of biological heterogeneity and uncovers early markers of accelerated aging. It also supports development of predictive models and personalized interventions. Understanding multi-omics aging advances precision geroscience by linking molecular complexity to functional outcomes and healthspan trajectories.
Title : Change your genes – Change your life: Epigenetics of longevity
Kenneth R Pelletier, University of California School of Medicine, United States
Title : Improving mobility and health in over 45,000 humans using nanomedicine
Thomas J Webster, Brown University, United States
Title : An introduction to alchemical facial acupuncture: Sparking the shen
Mary Elizabeth Wakefield, Chi-Akra Center for Ageless Aging, United States
Title : Decoding the secret of longevity through big data: Noncoding RNAs—not proteins—drive animal lifespan evolution
Anyou Wang, DIFIBER LLC, United States
Title : Aspirin guided by coronary artery calcium scoring for primary prevention in persons with subclinical coronary heart disease
Arthur J Siegel, McLean Hospital, United States
Title : When BMI misleads: Integrating body composition, biomarkers, and personalized interventions for cardiometabolic healthspan in aging Asian and European cohorts
Narendra Kumar, HeartbeatsZ Academy, United Kingdom