The dietary index for gut microbiota and risk of advanced cardio-kidney-metabolic syndrome

As a novel dietary assessment tool, the dietary index for gut microbiota (DI-GM) measured food intake patterns that influenced GM balance. The association of DI-GM with advanced cardiovascular-kidney-metabolic syndrome (CKM) remained unclear. We aimed to explore the relationship between DI-GM and the advanced CKM risk. Participants from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018 were included. The DI-GM was defined based on intake levels of 10 beneficial and 4 unfavorable foods. To assess the association of DI-GM with advanced CKM risk, we employed multivariate logistic regression, receiver operating characteristic (ROC) analysis, and weighted quantile sum (WQS) regression. About 13,226 eligible participants were enrolled. Multivariable logistic regression showed that each 1-point increment in the DI-GM and beneficial food scores were associated with a 6% (95% CI: 0.92-0.97) and 7% (95% CI: 0.90-0.97) reduction in advanced CKM risk, respectively. Unfavorable food scores showed no significant association with advanced CKM risk. ROC analysis indicated that compared with the baseline model, the addition of the DI-GM (AUC: 0.743 vs. 0.741; P = 0.013) and the beneficial food scores (AUC: 0.743 vs. 0.741; P = 0.005) significantly improved the discriminatory ability of the baseline model for advanced CKM. WQS regression further identified broccoli, soybeans, fermented dairy products, and dietary fiber as the key dietary components strongly associated with advanced CKM. The DI-GM can function as a promising tool for assessing advanced CKM risk. For the general population, especially individuals with metabolic risk factors, increasing the intake of broccoli, soybeans, fermented dairy products, and dietary fiber may help reduce advanced CKM risk.

Authors

Institutions

Publication Details

Journal
Clinical and Experimental Medicine
Published
2026-01-04
DOI
https://doi.org/10.1007/s10238-025-02013-2
Citations
1
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
22.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The dietary index for gut microbiota and risk of advanced cardio-kidney-metabolic syndrome

Yaohui Jiang, Bing Gao, Qie Qie Zhang, Wei Ji
1 citations
Clinical and Experimental Medicine
Gut microbiota and health
22.24
article

The dietary index for gut microbiota and risk of advanced cardio-kidney-metabolic syndrome

Yaohui Jiang, Bing Gao, Qie Qie Zhang, Wei Ji
article en
1 citations

Abstract

As a novel dietary assessment tool, the dietary index for gut microbiota (DI-GM) measured food intake patterns that influenced GM balance. The association of DI-GM with advanced cardiovascular-kidney-metabolic syndrome (CKM) remained unclear. We aimed to explore the relationship between DI-GM and the advanced CKM risk. Participants from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018 were included. The DI-GM was defined based on intake levels of 10 beneficial and 4 unfavorable foods. To assess the association of DI-GM with advanced CKM risk, we employed multivariate logistic regression, receiver operating characteristic (ROC) analysis, and weighted quantile sum (WQS) regression. About 13,226 eligible participants were enrolled. Multivariable logistic regression showed that each 1-point increment in the DI-GM and beneficial food scores were associated with a 6% (95% CI: 0.92-0.97) and 7% (95% CI: 0.90-0.97) reduction in advanced CKM risk, respectively. Unfavorable food scores showed no significant association with advanced CKM risk. ROC analysis indicated that compared with the baseline model, the addition of the DI-GM (AUC: 0.743 vs. 0.741; P = 0.013) and the beneficial food scores (AUC: 0.743 vs. 0.741; P = 0.005) significantly improved the discriminatory ability of the baseline model for advanced CKM. WQS regression further identified broccoli, soybeans, fermented dairy products, and dietary fiber as the key dietary components strongly associated with advanced CKM. The DI-GM can function as a promising tool for assessing advanced CKM risk. For the general population, especially individuals with metabolic risk factors, increasing the intake of broccoli, soybeans, fermented dairy products, and dietary fiber may help reduce advanced CKM risk.

Clinical and Experimental MedicineVol. 26(1)
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN), First Affiliated Hospital of Zhengzhou University (CN)
Reduced inequalities
Openalex Percentile: Top 3%
Gut microbiota and health
22.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.