# Anthocyanins and Metabolic Disease: A New Frontier in Precision Nutrition

**Authors:** Giuseppe T. Patanè, Ruben J. Moreira, Maria de Almeida-Santos, Stefano Putaggio, Davide Barreca, Pedro F. Oliveira, Marco G. Alves

PMC · DOI: 10.3390/antiox15010061 · Antioxidants · 2026-01-01

## TL;DR

This paper explores how anthocyanins, a type of dietary flavonoid, could be used in precision nutrition to better manage metabolic syndrome by considering individual genetic and gut microbiome differences.

## Contribution

The paper introduces a precision nutrition framework integrating multi-omics data to optimize anthocyanin interventions for metabolic syndrome.

## Key findings

- Anthocyanins have antioxidant and anti-inflammatory effects that could help manage metabolic syndrome.
- Individual variability in anthocyanin efficacy is due to genetic and gut microbiome differences.
- Precision nutrition using multi-omics data can tailor anthocyanin interventions for better outcomes.

## Abstract

Metabolic syndrome (MetS) represents a global health challenge mainly driven by chronic low-grade inflammation and persistent oxidative stress (OS). Current therapeutic and nutritional strategies often fail to resolve these interconnected core pathologies due to the multifactorial nature of MetS. Anthocyanins (ACNs), a class of potent dietary flavonoids, offer significant promise due to their established pleiotropic effects, including robust antioxidant activity through modulation of the Nrf2/ARE pathway, anti-inflammatory effects via NF-κB suppression, and overall support for glucose and lipid homeostasis. However, the therapeutic efficacy of ACNs is characterized by interindividual variability, which is intrinsically linked to their low systemic bioavailability. This heterogeneity in the response is due to the complex interplay between genetic polymorphisms affecting absorption, distribution, metabolism, and excretion (ADME), as well as the specific biotransformation capacity of the gut microbiome. This review proposes that achieving the full clinical potential of ACNs requires moving beyond conventional nutritional advice. We propose that precision nutrition, which integrates multi-omics data (e.g., genomics, metagenomics, and metabolomics), can determine the individual phenotype, predict functional metabolic response, and tailor safer and effective ACN-rich interventions. This integrated, multifactorial approach is essential for optimizing the antioxidant and metabolic benefits of ACNs for the prevention and management of MetS and its associated pathologies.

## Linked entities

- **Genes:** GABPA (GA binding protein transcription factor subunit alpha) [NCBI Gene 2551], are (Arylesterase) [NCBI Gene 59246804], NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790]
- **Chemicals:** anthocyanins (PubChem CID 145858), doxorubicin (PubChem CID 31703)
- **Diseases:** metabolic syndrome (MONDO:0000816)

## Full-text entities

- **Genes:** NFE2L2 (NFE2 like bZIP transcription factor 2) [NCBI Gene 4780] {aka IMDDHH, NRF2, Nrf-2}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}
- **Diseases:** MetS (MESH:D024821), Metabolic Disease (MESH:D008659), inflammation (MESH:D007249)
- **Chemicals:** lipid (MESH:D008055), ACN (MESH:D000872), glucose (MESH:D005947), flavonoids (MESH:D005419)
- **Species:** gut metagenome (species) [taxon 749906]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12838391/full.md

## References

253 references — full list in the complete paper: https://tomesphere.com/paper/PMC12838391/full.md

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Source: https://tomesphere.com/paper/PMC12838391