Skip to content

Advancing Multi-Omics Strategies for Precision Healthspan Extension

The field of aging research has rapidly evolved from simply examining lifespan to a broader focus on healthspan, the period during which individuals maintain functional independence and well-being. Recent demographic trends reveal that while lifespans are increasing, many people spend these additional years living with chronic diseases, frailty, and age-associated decline. Breakthroughs in multi-omics technologies - including genomics, epigenomics, proteomics, metabolomics, and microbiomics - have begun to unravel the complex biological processes underlying aging and disease. However, a critical gap remains in translating these advances into actionable insights that precisely target the mechanisms driving functional decline and individual variability in aging. There remains a pressing need to synthesize omics data with clinical phenotypes, environmental variables, and longitudinal follow-up to better predict, prevent, and intervene in age-related deterioration.This Research Topic aims to catalyze the integration of multi-omics data with real-world clinical and phenotypic information to enable precision longevity. The overarching objective is to define, identify, and validate robust biomarkers and causal mechanisms that influence healthspan, and to demonstrate how tailored preventive and therapeutic interventions can delay age-associated decline. Central questions include: What are the most predictive omics signatures of biological age and resilience? How can we move beyond associations to uncover causal relationships between molecular alterations and functional health outcomes? And how can these discoveries be translated into effective, individualized strategies for extending healthspan across diverse populations? This Research Topic invites studies that address these questions through innovative experimental design implicating the vast array of omics platforms, computational integration, and translational modeling.The scope of this Research Topic encompasses both basic and translational research into the use of multi-omics to understand, predict, and extend healthspan, while recognizing the importance of methodological rigor and ethical responsibility. We seek articles that advance the field within the following boundaries: the integration and analysis of multi-omics data in relation to healthspan, with a focus on translation to human populations and real-world settings. We welcome submissions addressing, but not limited to, the following themes:o Discovery and validation of omics biomarkers of biological age and resilienceo Cardiovascular omics biomarkers for predicting age-related cardiac decline, vascular stiffness, and cardiometabolic disease trajectorieso Integration of longitudinal, clinical, and deep-phenotyping data for trajectory modelingo Omics and microbiome profiling in immunosenescence and inflammagingo Multi-omics signatures of intervention response, including pharmacological, nutritional, and behavioral strategieso Single-cell and spatial omics approaches in tissue-specific aging and cellular senescenceo Computational approaches: causal inference, network analysis, and explainable AI for multi-omics integrationo Standards for data harmonization, transparent reporting, and clinical translationo Ethical, regulatory, and equity considerations in applying precision longevity toolsIn-scope article types include original research articles, reviews, perspectives, methods papers, and clinical protocols reflecting the latest multi-omics innovations in longevity science. Topic editors: Athanasios Anagnostopoulos, Constantinos Deltas Source: https://www.frontiersin.org/research-topics/78469/advancing-multi-omics-strategies-for-precision-healthspan-extension

Open for submissionsHosted by Frontiers in Aging
Contribute to this topic

Articles in this collection

No articles published in this topic yet.