ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2022
Gut Microbiome Activity Contributes to Prediction of Individual Variation in Glycemic Response in Adults.
Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- The Impact of Microbial Composition on Postprandial Glycaemia and Lipidaemia: A Systematic Review of Current Evidence.Nutrients · 2021Pooled it
- Supplementation with resveratrol modified gut microbiota improving insulin sensitivity and lipid metabolism in subjects with obesity and insulin resistance.European journal of nutrition · 2025Trial
- Sugar Composition of Thai Desserts and Their Impact on the Gut Microbiome in Healthy Volunteers: A Randomized Controlled Trial.Nutrients · 2024Trial
- Effect of a Personalized Diet to Reduce Postprandial Glycemic Response vs a Low-fat Diet on Weight Loss in Adults With Abnormal Glucose Metabolism and Obesity: A Randomized Clinical Trial.JAMA network open · 2022 · on this mapTrial
- Gut microbiome in type 2 diabetes: insights from metagenomics, multi-omics, and diet-microbe interactions.Gut microbes · 2026Review
- Quantifying the Contributions of Food, Glucose, Sleep, and Microbiome Data to Personalized Glycemic Response Prediction.Current developments in nutrition · 2026Article
- Applying Artificial Intelligence and machine learning in precision nutrition.Nature communications · 2026Review
- Multiomics: the intersection of personalized nutrition in cardiometabolic diseases.Journal of translational medicine · 2026Review
- Postprandial Glycemic Impact of Meal Timing and Staple Type in Outpatients with Dysglycemia: A Pilot Study Under a Streamlined and Real-World Framework.International journal of general medicine · 2026Article
- The gut microbiota-inflammageing axis in cardiometabolic health of older adults and dietary intervention strategies.Frontiers in nutrition · 2026Review
- Precision nutrition through diet-gut microbiome interactions: Emerging insights driven by artificial intelligence, microbiome health metrics, and mechanistic modeling.Gut microbes reports · 2026Review
- CGMacros: a pilot scientific dataset for personalized nutrition and diet monitoring.Scientific data · 2025Article
- Personalized glucose prediction usingFrontiers in nutrition · 2025Article
- From meal to malfunction: exploring molecular pathways, biomarkers and interventions in postprandial cardiometabolic health.Frontiers in cardiovascular medicine · 2025Review
- A maternal sweet diet is associated with the gut dysbiosis in the first trimester of pregnancy.BMC nutrition · 2024Article
- A deployable film method to enable replicable sampling of low-abundance environmental microbiomes.Scientific reports · 2024Article
- Washed microbiota transplantation reduces glycemic variability in unstable diabetes.Journal of diabetes · 2024Article
- Prediction of personalised postprandial glycaemic response in type 1 diabetes mellitus.Frontiers in endocrinology · 2024Article
- Impact of gut microbiota and associated mechanisms on postprandial glucose levels in patients with diabetes.Journal of translational internal medicine · 2023Article
- Individual and Group-Based Effects of In Vitro Fiber Interventions on the Fecal Microbiota.Microorganisms · 2023Article
Corrections and comments
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Limiting postprandial glycemic response (PPGR) is an important intervention in reducing the risk of chronic metabolic diseases and has been shown to impart significant health benefits in people with elevated levels of blood sugar. In this study, we collected gut microbiome activity data by assessing the metatranscriptome, and we measured the glycemic responses of 550 adults who consumed more than 30,000 meals, collectively, from omnivore or vegetarian/gluten-free diets. We demonstrate that gut microbiome activity, anthropometric factors, and food macronutrients modulate individual variation in glycemic response. We employ two predictive models, including a mixed-effects linear regression model (R = 0.77) and a gradient boosting machine model (R
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Registered trials
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.