Evidence mapPaperPMID 40544245Full record

ArticleDiabetology & metabolic syndrome2025

The newly proposed dietary index for gut microbiota and its association with the risk of nonalcoholic fatty liver disease: the mediating role of body mass index.

Shengnan Meng, Luonan Li, Shijie Yin, Yuxuan Zhao, Yaning Liu, Yuxi Zhang, Xiaolin Zhang, Fengxue Yu

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Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Shengnan MengSchool of Public Health, Hebei Medical University, Shijiazhuang, China.
Luonan LiSchool of Public Health, Hebei Medical University, Shijiazhuang, China.
Shijie YinSchool of Public Health, Hebei Medical University, Shijiazhuang, China.
Yuxuan ZhaoSchool of Public Health, Hebei Medical University, Shijiazhuang, China.
Yaning LiuSchool of Public Health, Hebei Medical University, Shijiazhuang, China.
Yuxi ZhangSchool of Pharmacy, Hebei Medical University, Shijiazhuang, China.
Xiaolin Zhang *School of Public Health, Hebei Medical University, Shijiazhuang, China. 17700862@hebmu.edu.cn.
Fengxue Yu *School of Public Health, Hebei Medical University, Shijiazhuang, China. 27400757@hebmu.edu.cn.

Funding

Natural Science Foundation of Hebei Province H2022206478
6 · The paper itself

Abstract

BACKGROUND AND

aimsNonalcoholic fatty liver disease (NAFLD) is strongly associated with dietary habits and the gut microbiota. The dietary index for the gut microbiota (DI-GM) is a newly proposed index that reflects gut microbial diversity based on dietary intake. However, its relationship with NAFLD remains unclear. This study aimed to explore the association between DI-GM and the risk of NAFLD.

methodsIn this cross-sectional study, we utilized data from the NHANES 2009-2018. Multivariable logistic regression, restricted cubic spline curves (RCS), subgroup analysis, and mediation analysis were used to evaluate the association between DI-GM and the risk of NAFLD.

resultsA total of 4,923 participants were included in the study. According to the fully adjusted model, a significant inverse association was observed between DI-GM and NAFLD (OR = 0.883, 95% CI: 0.835-0.932, P < 0.001). After stratification by quartiles, compared with participants in the first quartile of DI-GM score, those in the fourth quartile had a 36.5% lower odds of developing NAFLD (OR = 0.635, 95% CI: 0.481-0.839, P = 0.002). Mediation analysis revealed that 72.69% of the association between DI-GM and NAFLD was mediated by BMI (P < 0.001). Subgroup analysis suggested that the association between DI-GM and NAFLD might be influenced by race (P for interaction < 0.05). RCS analysis revealed a linear correlation between DI-GM and NAFLD (P for nonlinear = 0.883).

conclusionsDI-GM is negatively associated with NAFLD risk, with BMI mediating this relationship and race being a significant influencing factor.

Indexed as

BMIDietary patternsDI-GMGut-liver axisMediation effectNAFLDNHANES

Identifiers

PMID40544245
PMCPMC12181917

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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 Socratic graph.