Evidence map›Paper›PMID 41559789›Full record

ArticleNutrition & metabolism2026

Gut microbiome mediates the association between dietary quality and metabolic risk in a heterogeneous adult population.

Madeline Bartsch, Linda Hemmelrath, Felix Kerlikowsky, Anja Bruns, Milena Burhop, Josefine Nebl, Theresa Greupner, Till Strowig, Till R Lesker, Lena Amend and 4 more

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Madeline BartschInstitute of Food and One Health, Leibniz University Hannover, 30167, Hannover, Germany. bartsch@foh.uni-hannover.de.
Linda HemmelrathInstitute of Food and One Health, Leibniz University Hannover, 30167, Hannover, Germany.
Felix KerlikowskyInstitute of Food and One Health, Leibniz University Hannover, 30167, Hannover, Germany.
Anja BrunsInstitute of Food and One Health, Leibniz University Hannover, 30167, Hannover, Germany.
Milena BurhopInstitute of Food and One Health, Leibniz University Hannover, 30167, Hannover, Germany.
Josefine NeblInstitute of Food and One Health, Leibniz University Hannover, 30167, Hannover, Germany.
Theresa GreupnerInstitute of Food and One Health, Leibniz University Hannover, 30167, Hannover, Germany.
Till StrowigDepartment of Microbial Immune Regulation, Helmholtz Centre for Infection Research, 38124, Braunschweig, Germany.
Till R LeskerDepartment of Microbial Immune Regulation, Helmholtz Centre for Infection Research, 38124, Braunschweig, Germany.
Lena AmendDepartment of Microbial Immune Regulation, Helmholtz Centre for Infection Research, 38124, Braunschweig, Germany.
Marius VitalInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, 30625, Hannover, Germany.
Shoma BerkemeyerNutritionLab, Faculty of Agricultural Sciences and Landscape Architecture, Osnabrueck University of Applied Sciences, 49090, Osnabrueck, Germany.
Andreas HahnInstitute of Food and One Health, Leibniz University Hannover, 30167, Hannover, Germany.
Mattea MüllerInstitute of Food and One Health, Leibniz University Hannover, 30167, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiet is a determinant of metabolic health, partly through its effects on the gut microbiome, which influences nutrient metabolism, inflammation, and energy balance. We investigated the mediating role of gut microbiome features in the association between dietary quality and metabolic risk.

methodsIn this cross-sectional study, we included 269 adults aged 25-76 years with heterogeneous metabolic profiles, BMI ranging from 17.5 to 47.6 kg/m², and fasting glucose levels between 5.6 and 6.9 mmol/L. Dietary quality was assessed using the Healthy Eating Index (HEI-MON), the Planetary Health Diet Index (PHEI-MON), and the alternate Mediterranean Diet Score (aMED), derived from food-frequency questionnaires and three-day food records. Metabolic risk was quantified using a continuous metabolic syndrome score (cMetS) incorporating waist circumference, mean arterial pressure, HDL cholesterol, triglycerides, and fasting glucose. Microbiome composition (16 S rRNA gene sequencing) and predicted SCFA pathways were analyzed using adjusted multiple linear regression, PERMANOVA, and differential abundance analysis. Mediation analyses examined microbial features as potential mediators of the association between diet and metabolic risk.

resultsHigher HEI-MON, PHEI-MON, and aMED were associated with lower cMetS (q < 0.01). Christensenellaceae R7 group and Ruminococcaceae NK4A214 group were enriched with higher dietary quality and lower cMetS (q < 0.1), whereas Lachnoclostridium were associated with lower diet quality and higher cMetS (q < 0.1). The Enterotype Dysbiosis Score (EDS) correlated inversely with dietary quality (PHEI-MON q = 0.04) and positively with cMetS (q = 0.04). Butyrate-synthesis pathways were more abundant in individuals with higher dietary quality (q < 0.05) and inversely associated with cMetS (q < 0.05). Mediation analysis indicated that the Ruminococcaceae NK4A214 group, the Christensenellaceae R7 group, and Lachnoclostridium accounted for up to 16% of the association between diet and metabolic risk.

conclusionBetter dietary quality is associated with lower metabolic risk and positive gut microbiome signatures across taxonomic, functional, and stability-related aspects. Certain taxa statistically mediated these associations, highlighting gut microbiome features that may contribute to observed links between dietary patterns and metabolic health.

Indexed as

Diet qualityGut microbiomeMetabolic risk

Identifiers

PMID41559789
PMCPMC12849433

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Registered trials

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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.