Animal-based diets and the human gut microbiota: a narrative review integrating metagenomic profiling and graphical synthesis of diet–microbiota associations

Abstract

This review examines the relationships between animal-based diets, gut microbiota architecture, and human health by integrating insights from metagenomic studies and literature-based graphical representations. The gut microbiota is a complex microbial ecosystem, whose organization is closely linked to intestinal homeostasis and host health. Drawing on published metagenomic datasets, the review synthesizes patterns of dominant microbial groups and their organization within the gut, providing a framework for interpreting diet-related microbial variations across different geographic and cultural contexts. Evidence from the literature on animal-derived foods is integrated through graphical visualization to illustrate associations between specific foods and gut microbial taxa. These visualizations highlight distinct association patterns and microbial responses to various animal-based dietary components. The review discusses these patterns in relation to intestinal health, disease susceptibility, and potential dietary interventions. Overall, this work provides a structured, integrative perspective on the impact of animal-based diets on gut microbiota architecture, emphasizing the relevance of combining metagenomic insights with literature-based synthesis to inform nutritional science and public health strategies.

Supplementary files

Article information

Article type
Review Article
Submitted
24 Jan 2026
Accepted
03 Jun 2026
First published
10 Jun 2026

Food Funct., 2026, Accepted Manuscript

Animal-based diets and the human gut microbiota: a narrative review integrating metagenomic profiling and graphical synthesis of diet–microbiota associations

L. Medouni-Haroune, S. Medouni-Adrar, L. Messaoudene, S. NEGRICHI, C. BOUICHE, Y. Sahraoui-Remini, A. Allam, Z. Meghlaoui, K. Mouhoubi, A. ABBOU, N. BRAHIMI, M. K. MELLAL, Z. Sari and K. Madani, Food Funct., 2026, Accepted Manuscript , DOI: 10.1039/D6FO00371K

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