The relationship between dietary index for gut microbiota and diabetes
Abstract This study aims to explore the relationship between the Dietary Index for Gut Microbiota (DI-GM) and diabetes. In recent years, there has been increasing attention to the role of the gut microbiome in regulating host metabolism. However, the relationship between DI-GM and the risk of diabet...
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Nature Portfolio
2025-02-01
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| Online Access: | https://doi.org/10.1038/s41598-025-90854-y |
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| author | Zhe Wu Changle Gong Bin Wang |
| author_facet | Zhe Wu Changle Gong Bin Wang |
| author_sort | Zhe Wu |
| collection | DOAJ |
| description | Abstract This study aims to explore the relationship between the Dietary Index for Gut Microbiota (DI-GM) and diabetes. In recent years, there has been increasing attention to the role of the gut microbiome in regulating host metabolism. However, the relationship between DI-GM and the risk of diabetes has not been sufficiently studied. This study utilized relevant data from the National Health and Nutrition Examination Survey (NHANES) 2007–2018. Multiple logistic regression analysis was conducted to explore the relationship between DI-GM and the risk of diabetes. The dose-response relationship between DI-GM and the risk of diabetes was observed using restricted cubic splines (RCS). Threshold effect analysis was performed based on RCS results. Subgroup analyses were used to conduct a sensitivity analysis of the relationship between DI-GM and the risk of diabetes. The results from multiple logistic regression analysis indicated a significant negative correlation between DI-GM and the risk of diabetes (OR, 0.954, 95%CI, 0.918–0.991). RCS results also showed a significant nonlinear negative relationship between DI-GM and the risk of diabetes (P < 0.001, P for nonlinear = 0.010). The threshold effect analysis revealed that when DI-GM was below 6.191, there was a significant negative correlation between DI-GM and the risk of diabetes (OR, 0.921, 95% CI, 0.876–0.969). However, when DI-GM exceeded 6.191, the relationship between DI-GM and the risk of diabetes was no longer significant. Subgroup analysis revealed that the negative correlation between DI-GM and the risk of diabetes remained significant in Whites, participants with a poverty-income ratio > 3.5, body mass index > 24, current drinkers, never or current smokers, and those without chronic kidney disease (P < 0.05). This study demonstrates a nonlinear negative correlation between DI-GM and the risk of diabetes. Maintaining DI-GM above 6.191 may help prevent diabetes. |
| format | Article |
| id | doaj-art-e3d8eb303f7a4ec6a5a42c7aa6121d06 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-e3d8eb303f7a4ec6a5a42c7aa6121d062025-08-20T03:11:07ZengNature PortfolioScientific Reports2045-23222025-02-011511910.1038/s41598-025-90854-yThe relationship between dietary index for gut microbiota and diabetesZhe Wu0Changle Gong1Bin Wang2The First Clinical College, Shandong University of Traditional Chinese MedicineDepartment of Dermatology, Jinan Hospital of Traditional Chinese MedicineDepartment of Vascular Surgery, The Second Affiliated Hospital of Shandong University of Traditional Chinese MedicineAbstract This study aims to explore the relationship between the Dietary Index for Gut Microbiota (DI-GM) and diabetes. In recent years, there has been increasing attention to the role of the gut microbiome in regulating host metabolism. However, the relationship between DI-GM and the risk of diabetes has not been sufficiently studied. This study utilized relevant data from the National Health and Nutrition Examination Survey (NHANES) 2007–2018. Multiple logistic regression analysis was conducted to explore the relationship between DI-GM and the risk of diabetes. The dose-response relationship between DI-GM and the risk of diabetes was observed using restricted cubic splines (RCS). Threshold effect analysis was performed based on RCS results. Subgroup analyses were used to conduct a sensitivity analysis of the relationship between DI-GM and the risk of diabetes. The results from multiple logistic regression analysis indicated a significant negative correlation between DI-GM and the risk of diabetes (OR, 0.954, 95%CI, 0.918–0.991). RCS results also showed a significant nonlinear negative relationship between DI-GM and the risk of diabetes (P < 0.001, P for nonlinear = 0.010). The threshold effect analysis revealed that when DI-GM was below 6.191, there was a significant negative correlation between DI-GM and the risk of diabetes (OR, 0.921, 95% CI, 0.876–0.969). However, when DI-GM exceeded 6.191, the relationship between DI-GM and the risk of diabetes was no longer significant. Subgroup analysis revealed that the negative correlation between DI-GM and the risk of diabetes remained significant in Whites, participants with a poverty-income ratio > 3.5, body mass index > 24, current drinkers, never or current smokers, and those without chronic kidney disease (P < 0.05). This study demonstrates a nonlinear negative correlation between DI-GM and the risk of diabetes. Maintaining DI-GM above 6.191 may help prevent diabetes.https://doi.org/10.1038/s41598-025-90854-yDietary index for gut microbiotaDiabetesNonlinear relationshipThreshold effectNHANES |
| spellingShingle | Zhe Wu Changle Gong Bin Wang The relationship between dietary index for gut microbiota and diabetes Scientific Reports Dietary index for gut microbiota Diabetes Nonlinear relationship Threshold effect NHANES |
| title | The relationship between dietary index for gut microbiota and diabetes |
| title_full | The relationship between dietary index for gut microbiota and diabetes |
| title_fullStr | The relationship between dietary index for gut microbiota and diabetes |
| title_full_unstemmed | The relationship between dietary index for gut microbiota and diabetes |
| title_short | The relationship between dietary index for gut microbiota and diabetes |
| title_sort | relationship between dietary index for gut microbiota and diabetes |
| topic | Dietary index for gut microbiota Diabetes Nonlinear relationship Threshold effect NHANES |
| url | https://doi.org/10.1038/s41598-025-90854-y |
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