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TL;DR
It concludes that integrating microbiome data with epidemiological studies is promising for developing personalized nutrition, but significant limitations in current research need to be addressed.
Protein & Cell · 4 authors, 12 centres
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It concludes that integrating microbiome data with epidemiological studies is promising for developing personalized nutrition, but significant limitations in current research need to be addressed.
This narrative review discusses the emerging field of nutri-microbiome epidemiology. It describes how high-throughput DNA sequencing technologies have enabled large-scale studies of the gut microbiome, which is influenced by daily dietary intake. It notes that inter-individual differences in response to diet challenge generic dietary recommendations and positions the gut microbiome as a potential predictor for personalized nutrition. Key limitations of the current field include a reliance on cross-sectional study designs, geographic and cultural heterogeneity, challenges in metabolomic profiling, and difficult-to-interpret machine learning algorithms. Future directions mentioned include longitudinal studies, n-of-1 trials, and the integration of wearable devices with interpretable machine learning for precision nutrition.