ArticleThe Journal of nutrition2021
Individual Postprandial Glycemic Responses to Diet in n-of-1 Trials: Westlake N-of-1 Trials for Macronutrient Intake (WE-MACNUTR).
Article in The Journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- The Short-Term Variation of Human Gut Mycobiome in Response to Dietary Intervention of Different Macronutrient Distributions.Nutrients · 2023Trial
- Longitudinal multimorbidity trajectories shape personalized glycaemic patterns.Nature metabolism · 2026Article
- Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Postprandial variability in plasma long-chain omega-3 is independent of supplement lipid structure.Asia Pacific journal of clinical nutrition · 2025Review
- Protocol of a Series ofCurrent developments in nutrition · 2025Article
- Use of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study.JMIR research protocols · 2025Article
- Microbiome-based correction for random errors in nutrient profiles derived from self-reported dietary assessments.Nature communications · 2024Article
- Microbiome-based correction for random errors in nutrient profiles derived from self-reported dietary assessments.bioRxiv : the preprint server for biology · 2024Article
- Nutraceuticals in osteoporosis prevention.Frontiers in nutrition · 2024Review
- Effects of different types of meals on postprandial glycaemia in healthy subjects.Pediatric endocrinology, diabetes, and metabolism · 2024Review
- Nutri-microbiome epidemiology, an emerging field to disentangle the interplay between nutrition and microbiome for human health.Protein & cell · 2023Review
- Role of metabolomics in the delivery of precision nutrition.Redox biology · 2023Article
- The Niche of n-of-1 Trials in Precision Medicine for Weight Loss and Obesity Treatment: Back to the Future.Current nutrition reports · 2022Review
- Genetically-Guided Medical Nutrition Therapy in Type 2 Diabetes Mellitus and Pre-diabetes: A Series ofFrontiers in nutrition · 2022Article
- Breaking new frontiers: Assessment and re-evaluation of clinical trial design for nutraceuticals.Frontiers in nutrition · 2022Article
- The Relationship between Macronutrient Distribution and Type 2 Diabetes in Asian Indians.Nutrients · 2021Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe role of different types and quantities of macronutrients on human health has been controversial, and the individual response to dietary macronutrient intake needs more investigation.
objectivesWe aimed to use an 'n-of-1' study design to investigate the individual variability in postprandial glycemic response when eating diets with different macronutrient distributions among apparently healthy adults.
methodsThirty apparently healthy young Chinese adults (women, 68%) aged between 22 and 34 y, with BMI between 17.2 and 31.9 kg/m2, were provided with high-fat, low-carbohydrate (HF-LC, 60-70% fat, 15-25% carbohydrate, 15% protein, of total energy) and low-fat, high-carbohydrate (LF-HC, 10-20% fat, 65-75% carbohydrate, 15% protein) diets, for 6 d wearing continuous glucose monitoring systems, respectively, in a randomized sequence, interspersed by a 6-d wash-out period. Three cycles were conducted. The primary outcomes were the differences of maximum postprandial glucose (MPG), mean amplitude of glycemic excursions (MAGE), and AUC24 between intervention periods of LF-HC and HF-LC diets. A Bayesian model was used to predict responders with the posterior probability of any 1 of the 3 outcomes reaching a clinically meaningful difference.
resultsTwenty-eight participants were included in the analysis. Posterior probability of reaching a clinically meaningful difference of MPG (0.167 mmol/L), MAGE (0.072 mmol/L), and AUC24 (13.889 mmol/L·h) between LF-HC and HF-LC diets varied among participants, and those with posterior probability >80% were identified as high-carbohydrate responders (n = 9) or high-fat responders (n = 6). Analyses of the Bayesian-aggregated n-of-1 trials among all participants showed a relatively low posterior probability of reaching a clinically meaningful difference of the 3 outcomes between LF-HC and HF-LC diets.
conclusionsN-of-1 trials are feasible to characterize personal response to dietary intervention in young Chinese adults.
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