ArticleJournal of food and drug analysis2023
Abundance of Prevotella copri in gut microbiota is inversely related to a healthy diet in patients with type 2 diabetes.
Article in Journal of food and drug analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 13 citations in OpenAlex.
- Trial
- The Gut-Brain Axis: A Critical Link between Type 2 Diabetes and Parkinson's disease.Probiotics and antimicrobial proteins · 2026Review
- High-resolution phage-host assignment through key proteins using large language models.Nature communications · 2026Article
- Gut microbiome-epigenetic crosstalk in obesity and type 2 diabetes: mechanisms, evidence, and translational opportunities.Frontiers in microbiology · 2026Review
- Obesity-associated gut microbiome influences diet-induced metabolic and cognitive outcomes in older adults.Gut microbes reports · 2026Article
- Influence of Nonenzymatic Browning Reactions on the Digestibility and Gut Microbiota Fermentation of Starch and Protein.Comprehensive reviews in food science and food safety · 2025Review
- Machine learning integrates region-specific microbial signatures to distinguish geographically adjacent populations within a province.Frontiers in microbiology · 2025Article
- Gut microbiota dysbiosis in diabetic nephropathy: mechanisms and therapeutic targeting via the gut-kidney axis.Frontiers in endocrinology · 2025Review
- Integrative Metagenomic Analyses Reveal Gut Microbiota-Derived Multiple Hits Connected to Development of Diabetes Mellitus.Metabolites · 2024Article
- Gut microbiota, serum metabolites, and lipids related to blood glucose control and type 1 diabetes.Journal of diabetes · 2024Article
- Distinct Plasma Metabolomic and Gut Microbiome Profiles after Gestational Diabetes Mellitus Diet Treatment: Implications for Personalized Dietary Interventions.Microorganisms · 2024Article
- Microbial Dysbiosis Linked to Metabolic Dysfunction-Associated Fatty Liver Disease in Asians:International journal of molecular sciences · 2024Article
- Global research trends in regulating gut microbiome to improve type 2 diabetes mellitus: bibliometrics and visual analysis.Frontiers in endocrinology · 2024Review
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Authors and funding
8 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While the gut microbiota is known to be influenced by habitual food intake, this relationship is seldom explored in type 2 diabetes patients. This study aims to investigate the relationship between dietary patterns and gut microbial species abundance in 113 type 2 diabetes patients (mean age, 58 years; body mass index, 29.1; glycohemoglobin [HbA1c], 8.1%). We analyzed the gut microbiota using 16S amplicon sequencing, and all patients were categorized into either the Bacteroides enterotype (57.5%, n = 65) or the Prevotella enterotype (42.5%, n = 48) using the partitioning around medoids clustering algorithm, based on the most representative genera. Patients with the Bacteroides enterotype showed better glycemic control with a 2.71 odds of HbA1c ≤ 7.0% compared to the Prevotella enterotype (95% confidence interval, 1.02-7.87; P, 0.034). Dietary habits and the nutrient composition of all patients were assessed using a validated food frequency questionnaire. It was observed that the amounts of dietary fiber consumed were suboptimal, with an average intake of 16 g per day. Additionally, we extracted four dietary patterns through factor analysis: eating-out, high-sugar foods, fish-vegetable, and fermented foods patterns. Patients with the Bacteroides enterotype had higher scores for the fish-vegetable pattern compared to the Prevotella enterotype (0.17 ± 0.13 versus -0.23 ± 0.09; P, 0.010). We further investigated the relationship between the microbiota and the four dietary patterns and found that only the fish-vegetable dietary pattern scores were correlated with principal coordinate values. A lower pattern score was associated with the accumulated abundance of the 31 significant microbial features. Among these features, Prevotella copri was identified as the most significant by using a random forest model, with an area under the receiver operating characteristic of 0.93 (95% confidence interval, 0.88-0.98). To validate these results, we conducted a custom quantitative polymerase chain reaction assay. This assay confirmed the presence of P. copri (sensitivity, 0.96; specificity, 0.97) in our cohort, with a prevalence of 47.8%, and a mean relative abundance of 21.0% in subjects harboring P. copri. In summary, type 2 diabetes patients with the Prevotella enterotype demonstrated poorer glycemic control and deviations from a healthy dietary pattern. The abundance of P. copri, as a major contributing microbial feature, was associated with the severity in the deficiency in dietary fish and vegetables. Emphasis should be placed on promoting a healthy dietary pattern and understanding the microbial correlations.
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