A Diet-Dependent Microbiota Profile Associated with Incident Type 2 Diabetes: From the CORDIOPREV Study

Scope The differences between the baseline gut microbiota of patients who developed type 2 diabetes (T2D) consuming a low‐fat (LF) or a Mediterranean (Med) diet are explored and risk scores are developed to predict the individual risk of developing T2D associated with the consumption of LF or Med di...

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Authors: Camargo, Antonio, Vals-Delgado, Cristina, Alcalá-Díaz, Juan F., Villasanta-Gonzalez, Alejandro, Gómez-Delgado, Francisco, Haro, Carmen, León-Acuña, Ana, Cardelo, Magdalena P., Torres-Peña, José D., Guler, Ipek, Malagon, María M., Ordovás, José M., Pérez-Martínez, Pablo, Delgado-Lista, Javier, López-Miranda, José
Format: article
Status:Versión aceptada para publicación
Publication Date:2020
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/238488
Online Access:http://hdl.handle.net/10261/238488
Access Level:Open access
Keyword:CORDIOPREV
Diet
Intestinal microbiota
Predictive models
Type 2 diabetes
Description
Summary:Scope The differences between the baseline gut microbiota of patients who developed type 2 diabetes (T2D) consuming a low‐fat (LF) or a Mediterranean (Med) diet are explored and risk scores are developed to predict the individual risk of developing T2D associated with the consumption of LF or Med diet. Methods and Results All the patients from the CORDIOPREV study without T2D at baseline (n = 462) whose fecal sample are available, are included. Gut microbiota is analyzed by 16S sequencing and the risk of T2D after a median follow‐up of 60 months assessed by Cox analysis. Linear discriminant analysis effect size (LEfSe) analysis shows a different baseline gut microbiota in patients who developed T2D consuming LF and Med diets. A higher abundance of Paraprevotella, and lower Gammaproteobacteria and B. uniformis are associated with T2D risk when an LF diet is consumed. In contrast, higher abundances of Saccharibacteria, Betaproteobacteria, and Prevotella are associated with T2D risk when a Med diet is consumed. Conclusion The results suggest that different interactions between the microbiome and dietary patterns may partially determine the risk of T2D development, which may be used for selecting personalized dietary models to prevent T2D.

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