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A nutrient-derived dietary gradient links gut microbiome composition, network structure, and host physiology

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Item Type:Preprint
Title:A nutrient-derived dietary gradient links gut microbiome composition, network structure, and host physiology
Creators: Xu, Jiyan ORCID logoORCID: https://orcid.org/0000-0003-2752-9388, Riabchenko, Maya, Bartolomaeus, Theda U.P. ORCID logoORCID: https://orcid.org/0000-0002-5156-7184, Müller, Alexander, Hannibal, Luciana ORCID logoORCID: https://orcid.org/0000-0002-0911-5758, Huber, Roman, Jeitler, Michael ORCID logoORCID: https://orcid.org/0000-0003-3277-9090, Jarquín-Díaz, Víctor Hugo ORCID logoORCID: https://orcid.org/0000-0003-3758-1091, Forslund-Startceva, Sofia K. ORCID logoORCID: https://orcid.org/0000-0003-4285-6993 and Storz, Maximilian Andreas ORCID logoORCID: https://orcid.org/0000-0003-3277-0301
Abstract:Diet is an important determinant of gut microbiome composition and host physiology. However, dietary exposure is often represented using categorical groups that may not fully capture variation in nutrient intake or its associations with gut microbiome and host biomarkers. Here, we analyzed diet-microbiome-host physiology relationships in healthy adults with long-term adherence (≥2 years) to omnivore, vegetarian, or vegan diets. We integrated four-day weighed dietary records, blood biomarkers, and 16S rRNA gene sequencing to characterize dietary intake, host physiology, and gut microbiome composition. We derived nutrient intake gradients by dimensionality reduction of representative nutrients and identified the second nutrient intake gradient (NIG2) as a quantitative axis reflecting variation between animal- and plant-leaning nutrient profiles, broadly recapitulating categorical dietary groups. While NIG2 showed no association with microbiome within-sample diversity, it explained gut microbiome compositional variation that was not detected using categorical dietary groups. Mediation analyses identified nominal candidate microbiome-mediated diet-biomarker relationships involving thyroid-related, hematological, and vitamin-related biomarkers. Network analyses of NIG2-defined animal-leaning and plant-leaning subsets identified subset-specific microbial associations and differences in microbial community structure and potential interactions. Overall, this continuous nutrient-derived dietary gradient provides a quantitative exposure metric for characterizing diet-microbiome-host physiology relationships.
Keywords:Gut Microbiome, Diet, Mediation Analysis, Host Biomarkers, Network Analysis
Source:bioRxiv
Publisher:Cold Spring Harbor Laboratory Press
Article Number:2026.07.24.740531
Date:24 July 2026
Official Publication:https://doi.org/10.64898/2026.07.24.740531
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