Evidence map›Paper›PMID 42321912›Full record

ArticleNutrition & metabolism2026

Dietary index for gut microbiota, plasma metabolome, and risks of metabolic dysfunction-associated steatotic liver disease and other chronic liver diseases.

Mengyu Zhou, Yuqing Deng, Yuxiang Huang, Chao Yu, Xuechen Chen, Qiaoqiao Yang, Yingxin Liao, Shijia Wang, Peiting Zhang, Ailan Chen and 4 more

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Article in Nutrition & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Mengyu Zhou *Department of Nutrition, School of Public Health, Guangzhou Medical University, Guangzhou, China.
Yuqing Deng *State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
Yuxiang Huang *The Second School of Clinical Medicine, Guangzhou Medical University, Guangzhou, China.
Chao YuMedical Examination Center, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xuechen ChenCollege of Pharmacy, Jinan University, Guangzhou, China.
Qiaoqiao YangFood Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China.
Yingxin LiaoDepartment of Nutrition, School of Public Health, Guangzhou Medical University, Guangzhou, China.
Shijia WangDepartment of Nutrition, School of Public Health, Guangzhou Medical University, Guangzhou, China.
Peiting ZhangDepartment of Nutrition, School of Public Health, Guangzhou Medical University, Guangzhou, China.
Ailan ChenThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wenhua LingSchool of Public Health/Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.
Xu ChenDepartment of Food Science and Nutrition, The Hong Kong Polytechnic University, No.11, Yucai Road, Hung Hom, Kowloon, Hong Kong SAR, China. cxu1024@gmail.com.
Jiaying LiSchool of Nursing, Johns Hopkins University, Baltimore, MD, USA. jli465@jh.edu.
Hongliang XueDepartment of Nutrition, School of Public Health, Guangzhou Medical University, Guangzhou, China. 2022991056@gzhmu.edu.cn.ORCID http://orcid.org/0000-0002-9437-6396

Funding

Basic research project of Guangzhou Science and Technology Bureau SL2023A04J01145National Natural Science Foundation of China 82304130
6 · The paper itself

Abstract

backgroundThe dietary index for gut microbiota (DI-GM) is a newly proposed metric for assessing diet quality linked to gut microbiota. However, prospective evidence is scarce on the associations between DI-GM and adverse liver outcomes.

methodsThe DI-GM was calculated by averaging the intakes of 12 foods and nutrients. Elastic net regression was performed to identify metabolites associated with DI-GM and metabolic signature reflecting higher adherence to DI-GM was constructed. Cox proportional hazards regression and mediation analyses were employed to explore the potential associations and mechanisms.

resultsThis prospective cohort study included 168,456 participants from the UK Biobank. Compared to participants with DI-GM scores of 0-3, those scoring ≥ 6 presented 22% lower risk of MASLD (HR = 0.78, 95% CI = 0.68-0.90). Metabolic signature for DI-GM and dietary index beneficial to gut microbiota (BDI-GM) were also inversely correlated with MASLD. Similar inverse correlations between DI-GM and BDI-GM and the risks of other chronic liver diseases were identified. Furthermore, phenotypic age, body mass index, metabolic score, inflammatory score, and metabolic signature significantly mediated the relationship between DI-GM and MASLD. No significant interactions were observed between DI-GM and polygenic risk score of hepatic steatosis, and the associations between DI-GM and adverse liver outcomes persisted regardless of genetic risk.

conclusionsHigher adherence to DI-GM significantly correlates with reduced risks of MASLD and other chronic liver diseases, independent of genetic susceptibility. And the apparent mediating effects of five indices highlight the role of aging, obesity, metabolic disorders, inflammation, and metabolomic alterations in the association between DI-GM and MASLD. Further research is warranted to evaluate the utility of metabolic signatures in metabolic profile monitoring and risk stratification. IMPACT AND IMPLICATIONS: This large-scale cohort study first demonstrates that higher adherence to a gut microbiota-beneficial diet (DI-GM) is associated with a lower risk of MASLD and other chronic liver diseases, independent of genetic susceptibility. The estimated population attributable fractions, while derived from observational data and requiring cautious interpretation, suggest that a substantial portion of liver disease cases in the study population might be linked to suboptimal DI-GM adherence. These findings underscore the importance of integrating gut microbiome health into public health strategies for liver disease prevention, offering a practical approach to reduce disease burden at both individual and population levels. The DI-GM-associated metabolic signature represents a candidate objective biomarker meriting evaluation in future studies for its potential in early risk assessment. Mediation analyses further reveal that a diet promoting healthy gut microbiota may reduce MASLD risk by maintaining gut microbiota homeostasis, decelerating biological aging, ameliorating obesity, attenuating metabolic disorders, alleviating inflammation, and altering metabolome. Collectively, this study generates important hypotheses and provides a rationale for future interventional research to determine whether promoting DI-GM-aligned diets can effectively reduce liver disease risk at the population level.

Indexed as

Chronic liver diseaseDietary index for gut microbiotaMetabolic dysfunction-associated steatotic liver diseaseMetabolic signatureMetabolomics

Identifiers

PMID42321912
PMCPMC13587448

What Socratic holds

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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 Socratic graph.