Evidence map›Paper›PMID 40191795›Full record

ArticleFrontiers in nutrition2025

Linear association of the dietary index for gut microbiota with insulin resistance and type 2 diabetes mellitus in U.S. adults: the mediating role of body mass index and inflammatory markers.

Haoran Qu, Yiyun Yang, Qihang Xie, Liu Ye, Yue Shao

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haoran Qu *Department of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yiyun Yang *Department of Anesthesiology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Qihang XieDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Liu YeDepartment of Health Management Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yue ShaoDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gut microbiota is reported to be related to the onset of insulin resistance (IR) and type 2 diabetes mellitus (T2DM). The dietary index for gut microbiota (DI-GM) is a novel index for reflecting gut microbiota diversity. We aimed to evaluate the association of DI-GM with T2DM and IR. Methods: This cross-sectional research comprised 10,600 participants aged ≥20 from the National Health and Nutrition Examination Survey (NHANES) 2007-2018. We employed weighted multivariable linear and logistic regression models to examine the correlation of DI-GM with T2DM and IR. Linear or nonlinear relationships were examined by restricted cubic spline (RCS) regression. Additionally, subgroup and sensitivity analyses were performed to ensure the reliability of the results. Mediation analysis explored the roles of body mass index (BMI) and inflammatory factors in these associations. Results: Higher DI-GM were inversely associated with T2DM (OR = 0.93, 95%CI: 0.89-0.98) and IR (OR = 0.95, 95%CI: 0.91-0.99) after adjusting for confounders. DI-GM ≥ 6 group showed significantly lower risks of T2DM (OR = 0.74, 95%CI: 0.60-0.91) and IR (OR = 0.77, 95%CI: 0.62-0.95). RCS demonstrated a linear relationship between DI-GM and T2DM, as well as IR. DI-GM was also inversely correlated with the risk markers of T2DM. Mediation analysis showed that BMI and the systemic inflammation response index partly mediated the association of DI-GM with T2DM and IR, while the systemic immune-inflammation index mediated only the association with T2DM. Conclusion: DI-GM is inversely associated with T2DM and IR, with BMI and inflammatory markers partly mediating this association.

Indexed as

BMIgut microbiotainflammatory markerinsulin resistanceNHANEStype 2 diabetes mellitus

Identifiers

PMID40191795
PMCPMC11968382

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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.