We found that people's glucose responses to the same food can vary significantly, indicating that individual responses to foods are not categorically good or bad but depend on the person.

Current research is focusing on measuring insulin responses to different food types, which could provide insights into personalized dietary recommendations.

In our study with 26 participants, we designed diets to either reduce or increase blood glucose levels, demonstrating that personalized diets can effectively manage glucose responses.

Participants logged their food intake using an app, allowing us to analyze their dietary habits alongside their glucose responses for a comprehensive understanding of personalized nutrition.

We standardized our study by providing participants with the same breakfast over a week to measure variability in their glucose responses to food intake.

We developed an algorithm that predicts people's glucose responses to meals based on their microbiome composition and other health metrics, achieving a correlation of 0.68, which is significantly better than previous methods.

Choosing the right foods based on individual responses can help manage blood glucose levels and potentially prevent pre-diabetes without drastic dietary changes.

Postprandial glucose response is associated with weight regulation, as spikes in blood glucose can lead to insulin secretion, which signals the body to store fat.

In a study on bread consumption, increasing the amount of bread in participants' diets did not lead to significant changes in their microbiomes, indicating that individual microbiome composition plays a crucial role in dietary effects.