Jul 2026· Current Opinion in Biotechnology· Vol 100, pp.
103555
· 0 citations· 45 references
Medicine
TL;DR
Integration of AI with multi-omics enables functional characterisation of fermentation ecosystems and supports the development of targeted, personalised nutritional strategies, although translational and mechanistic challenges remain unresolved.
Abstract
The food microbiome, comprising microorganisms present in foods and fermentation, links diet, environment, and host physiology. This review examines its evolutionary, contemporary, and future nutritional relevance, including emerging applications of artificial intelligence (AI). In early human diets, fermentation likely improved food safety and nutrient accessibility, although its contribution to encephalization remains unproven. In modern populations, fermented foods and microbial metabolites shape the composition of the gut microbiome and modulate host metabolic, immune, and neuroactive functions. Rising atmospheric CO₂ is projected to reduce protein and micronutrient concentrations in staple crops, increasing interest in microbial fermentation as a strategy to enhance nutrient availability. Integration of AI with multi-omics enables functional characterisation of fermentation ecosystems and supports the development of targeted, personalised nutritional strategies, although translational and mechanistic challenges remain unresolved.
Nutrigenomics explores how nutrients interact with the genome to influence metabolic and physiological functions through microbial and molecular mechanisms. Nutrients and bioactive food compounds act as biochemical modulators that regulate gene expression and immune responses, sustaining physiological stability. On the...
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