ReviewFolia microbiologica2025
Microbiome-based approaches to personalized nutrition: from gut health to disease prevention.
Review in Folia microbiologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Associations between prevalent unhealthy lifestyles and the gut microbiota: a comprehensive multi-database bibliometric analysis of pathogenic mechanisms and clinical trajectories.Frontiers in medicine · 2026Pooled it
- Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Dietary modulation of the gut resistome: ecological and metabolic pathways driving antimicrobial resistance.Frontiers in nutrition · 2026Article
- Personalized nutrition for healthy aging: precision diets based on genomic, metabolic, and microbiome profiles.Frontiers in nutrition · 2026Review
- The effect of short-term consumption ofExperimental biology and medicine (Maywood, N.J.) · 2026Article
- Exploring the intricate link between gut microbiota dysbiosis and the aging process: implications for age-related diseases.Gut pathogens · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A complex community of trillions of microorganisms, the human gut microbiome has become a major regulator of health, impacting immune system function, metabolism, digestion, and even brain activity. Recent findings demonstrate how the microbiota is significantly shaped by diet and how the microbiome in turn influences how each person reacts to nutrition. In order to promote disease prevention and long-term health outcomes, this review examines how microbiome-driven approaches are transforming personalized nutrition by going beyond traditional dietary models. The review addresses how dietary elements like fibre, polyphenols, prebiotics, and fermented foods support metabolic activity and microbial diversity. It also discusses the connections between microbial imbalances, or dysbiosis, and illnesses like diabetes, obesity, heart disease, inflammatory bowel disease, and mental health issues. Personalized dietary recommendations based on individual microbiome profiles are becoming more and more possible with the development of high-throughput sequencing, machine learning, and multi-omics tools. Aside from addressing ethical concerns like data protection, affordability, and fair access to individualized interventions, the review also emphasizes the creation of customized probiotics and synbiotics that are made to fit the unique microbiome profiles of each individual. In the end, this review emphasizes how crucial it is to incorporate microbiome science into customized nutrition in order to support preventive healthcare and enhance clinical results.
Indexed as
Identifiers
40991166What 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.