Review of personalized nutrition for healthy aging using genomic, metabolic and microbiome profiles
This abstract describes a review of personalized nutrition that uses genomic, metabolomic and gut microbiome profiles to tailor diets for healthy aging, covering evidence from 2020 to 2025, ethical and social barriers, and future directions such as artificial intelligence and real-time monitoring. [1]
Automatic summary · not editorially reviewed
The key findings
Conventional dietary guidelines are described as broadly beneficial but often failing to account for heterogeneity among older adults in nutritional needs, metabolic responses and health trajectories. [1]
The review highlights key evidence from 2020 to 2025 and examines how precision models are used to improve outcomes in older adults. [1]
The review discusses ethical and social barriers and outlines future directions including artificial intelligence and real-time monitoring tools. [1]
The source at a glance
- Study type / format
- Review (abstract only)
- Population / context
- Older adults and the aging global population, as described in the abstract.
- Summary based on
- Study abstract
- Original publication
- August 5, 2026
Why conventional guidelines may not fit older adults
The abstract states that rising life expectancy has come with a growing burden of chronic diseases, many influenced by diet and lifestyle. Conventional dietary guidelines are described as broadly beneficial but often failing to account for wide differences among older adults in nutritional needs, metabolic responses and health trajectories. This limitation is said to have spurred interest in personalized nutrition, which uses individual genomic, metabolomic and gut microbiome profiles to tailor dietary interventions for healthy aging.
Supporting source [1]
What the review covers and which evidence period
According to the abstract, advances in omics technologies have deepened understanding of how genes, circulating metabolites and microbial ecosystems interact with diet to influence disease risk, physical function and longevity. The review is said to explore conceptual foundations, technological enablers and clinical applications of personalized nutrition, highlighting key evidence from 2020 to 2025. It also examines how precision models are being used to improve outcomes in older adults.
Supporting source [1]
Barriers and proposed future tools in the review
The abstract says the review discusses ethical and social barriers to implementation and outlines future directions including artificial intelligence and real-time monitoring tools. It describes personalized nutrition as a transformative opportunity to move from population-based dietary advice to individualized strategies that can promote resilience, reduce frailty and extend healthspan in the aging global population. These are framings of the review, not demonstrated outcomes.
Supporting source [1]
How to interpret this
This is an abstract only; the full text was not reviewed. The abstract reports no study design, sample size, follow-up or measured outcomes, so no effect of personalized nutrition on frailty, resilience or healthspan is established here. Statements about opportunities and future tools are the review's framing, not demonstrated results.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Reytor-González C, Román-Galeano NM, Castano Jimenez J, Oentiono OY, Yoong WA, Montalvan M, Simancas-Racines D. · europepmc.org · August 5, 2026