A1-Free vs. Conventional Milk Metabolic Response Study

Overview

This study will examine how different types of milk affect blood sugar and insulin responses after eating. Specifically, the study compares milk that contains only A2 beta-casein protein (A1-free milk) to conventional milk, which contains both A1 and A2 proteins. Participants will complete four study visits in which they will consume different milk-based beverages. These include lactose-containing milk and lactose-free milk followed by a lactose drink given later. Blood samples will be collected over several hours to measure glucose and insulin responses. Breath tests and questionnaires will also be used to assess digestion and gastrointestinal symptoms. The goal of this study is to determine whether milk protein type influences metabolic responses and whether consuming lactose-free milk affects how the body processes lactose when it is consumed later.

Postprandial glucose and insulin responses are important indicators of metabolic health, even in individuals without diagnosed metabolic disease. The rate and pattern of nutrient digestion and absorption can influence these responses, and emerging evidence suggests that differences in milk protein composition, specifically the presence or absence of A1 beta-casein, may alter gastrointestinal function and metabolic outcomes. This study is a randomized, double-blind, crossover trial designed to evaluate the effects of A1-free milk compared to conventional milk on postprandial metabolic responses in healthy adults. Participants will complete four experimental conditions in random order: (1) lactose-containing A1-free milk, (2) lactose-containing conventional milk, (3) lactose-free A1-free milk followed by a delayed lactose challenge, and (4) lactose-free conventional milk followed by a delayed lactose challenge. The inclusion of both lactose-containing and lactose-free conditions allows for evaluation of two complementary questions. First, direct comparisons between lactose-containing A1-free and conventional milk will assess whether milk protein composition influences postprandial glucose and insulin responses under typical consumption conditions. Second, the lactose-free preload conditions, combined with a standardized delayed lactose challenge, are designed to evaluate whether prior milk consumption modifies subsequent metabolic responses to lactose exposure. This approach provides insight into potential differences in digestive kinetics, including gastric emptying, nutrient delivery, and lactose digestion and absorption. During each study visit, participants will consume a standardized milk-based intervention following an overnight fast. In the lactose-free conditions, a lactose beverage matched to the amount of lactose typically present in the milk will be administered 60 minutes after milk consumption. Blood samples will be collected at multiple timepoints over a postprandial period to measure glucose and insulin concentrations and characterize response patterns, including early-phase responses and overall exposure. Secondary and exploratory outcomes include breath hydrogen testing as a non-invasive marker of carbohydrate fermentation and lactose maldigestion, as well as gastrointestinal symptom assessments using validated questionnaires. These measures will be used to provide additional context for interpreting metabolic responses across conditions. The crossover design allows each participant to serve as their own control, improving statistical power and reducing variability. The findings from this study will help clarify whether differences in milk protein composition influence metabolic responses and whether prior exposure to lactose-free milk alters the body's handling of lactose consumed at a later time.