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Modulating biological aging with food-derived signals: a systems and precision nutrition perspective
Carsten Carlberg1,2, Andreas Blüthner3, Irini Schoeman-Giziakis4
1Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Olsztyn, Poland. c.carlberg@pan.olsztyn.pl.
Npj Aging
|August 20, 2025
Summary
Diet influences aging by modulating inflammation and the microbiome. Identifying specific dietary targets using biological age markers and AI can promote healthy aging and systemic resilience.
Area of Science:
- Gerontology and Nutritional Science
- Molecular Biology and Bioinformatics
Background:
- Lifespan extension interventions have not halted age-related physiological decline.
- Aging is a complex process influenced by multiple molecular pathways.
Purpose of the Study:
- To investigate diet as a key modulator of aging processes.
- To identify actionable dietary targets for healthy aging.
Main Methods:
- Utilized biological age markers to assess aging.
- Employed artificial intelligence (AI)-powered multi-omics analysis.
- Investigated food-derived signals and Nutrition Dark Matter.
Main Results:
- Diet significantly influences key aging pathways including inflammation and the gut microbiome.
- AI-driven multi-omics identified specific molecular targets within diet.
- Food-derived signals and Nutrition Dark Matter emerged as critical factors.
Conclusions:
- Diet acts as a crucial molecular modulator of aging, impacting inflammation, microbiome, and resilience.
- Precision nutrition strategies informed by multi-omics data offer a path to mitigate age-related decline.
- Collaboration through initiatives like the EIT Food Healthy Aging Think & Do Tank is vital to translate research into practice for healthy aging.
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