ReviewBiomedical reports2025
Precision nutrition: Is tailor‑made dietary intervention a reality yet? (Review).
Review in Biomedical reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Nutrition as Modulator of Oxidative Stress in Cancer Prevention and Treatment.International journal of molecular sciences · 2026Review
- Article
- Multiomics: the intersection of personalized nutrition in cardiometabolic diseases.Journal of translational medicine · 2026Review
- Review
- Nutrigenomics meets multi-omics: integrating genetic, metabolic, and microbiome data for personalized nutrition strategies.Genes & nutrition · 2025Review
- Bioactive Compounds, Technological Advances, and Sustainable Applications of Avocado (Foods (Basel, Switzerland) · 2025Review
- A Systems Biology Approach to Memory Health: Integrating Network Pharmacology, Gut Microbiota, and Multi-Omics for Health Functional Foods.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision nutrition (PN) is an emerging field of science recognizing the variability in how individuals respond to different nutrients, driven by their unique biological makeup. The central aim of PN is to tailor dietary interventions to improve individual health, prevent disease and manage existing health conditions based on specific biological characteristics. The present review aimed to provide an overview of available multi-omics platforms that can be applied to extracting data from biological materials in the context of PN. Additionally, it proposed an updated pipeline for handling and integrating these data. A comprehensive search of academic publications was conducted across multiple databases, focusing on recent advances in PN, including its challenges and opportunities. Following this preparatory step, a data handling protocol for different omics layers was compiled to develop an up-to-date multi-omics pipeline applicable to PN. The successful implementation of PN requires a systems-level understanding of human physiological networks, their plasticity, variations in response to dietary exposures and the ability to classify population subgroups based on their nutritional needs. The realization of PN may currently seem distant due to several limitations such as the lack of ongoing large-scale epidemiological studies, challenges in database curation, the high cost of omics analysis and ethical concerns. A key advancement to this field would be the development of next-generation biomarkers connecting nutrition to chronic diseases. These biomarkers would help classify individuals at risk of diet-related conditions and quantify the dose-response relationships between individuals or groups of interacting nutrients and the onset and progression of diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.