The project is a randomized, 3-way, blinded crossover trial in which 20 healthy, fasted participants consume meals with 30 g of a linear corn starch and 5 g of one of the seaweeds, Laminara digitata or Undaria pinnatifida or a pea protein control. The primary aim is to investigate whether the brown seaweeds affect the postprandial glucose Area Under the Curve (AUC). Stomach emptying, insulin, C-peptide, appetite-regulating hormones (oxyntomodulin, glucagon, GLP-1 and PYY), and specific metabolites from the seaweeds in the urine and plasma as well as subjective satiety are also analyzed.
Brown seaweeds may contain bioactive compounds as they contain secondary plant metabolites, including flavonoids and other phenolic compounds as well as carotenoids. Dietary fibre is the major component of brown seaweeds, mainly composed from laminarans, alginates, fucans and cellulose. Several dietary fibers and secondary plant metabolites have been shown to have an impact on health and more specifically on glycemic control. Therefore, the aim of this study was to investigate whether two selected brown seaweeds have an effect on the postprandial glucose response to a starch load as well as several secondary measures, including appetite responses. In a controlled crossover trial, 20 healthy fasted participants consumed 5 g of either Laminaria digitata (LD) or Undaria pinnatifida (UP) or 1 g of pea protein (CTR). The volunteers concomitantly ingested 200 mL of a drink with corn starch. Blood samples were drawn at baseline, as well as 20, 40, 60, 90, 120 and 180 min after the meal. Differences in glucose, insulin, C-peptide, plasma incretin concentrations, and insulin sensitivity index (ISI) were analyzed and appetite was scored by a visual analogue scale and a subsequent ad libitum test meal.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
DOUBLE
Enrollment
20
Participants ingested 5 g of Laminaria digitata followed by 30 g of corn starch mixed with 200 mL of water.
Participants ingested 5 g of Undaria pinnatifida followed by 30 g of corn starch mixed with 200 mL of water.
Participants ingested 30 g of corn starch and 1 g of pea protein powder mixed with 200 mL of water.
Department of Nutrition, Exercise and Sports, University of Copenhagen
Frederiksberg, Denmark
Plasma glucose Area Under the Curve (Glucose AUC)
The area under the plasma glucose concentration curve was calculated from 0-180 min after 30 g of corn starch was ingested.
Time frame: 0- 180 min
Plasma glucose concentrations
Changes in the glucose concentrations determined by a mixed model analysis and subsequently at each time point with time 0 as a co-variate.
Time frame: 20, 40, 60, 90, 120 and 180 min
Serum Insulin Area Under the Curve
Area Under the Curve (AUC) for serum insulin.
Time frame: 0-180 min
Serum Insulin concentrations
Changes in the insulin concentrations determined by a mixed model analysis and subsequently at each time point with time 0 as a co-variate.
Time frame: : 20, 40, 60, 90, 120 and 180 min
ISI (0-180)
Matsuda's Insulin Sensitivity Index
Time frame: 0-180 min
Serum C-peptide Area Under the Curve
Area Under the Curve (AUC) for serum C-peptide.
Time frame: 0-180 min
Serum C-peptide concentrations
Changes in the C-peptide concentrations determined by a mixed model analysis and subsequently at each time point with time 0 as a co-variate.
Time frame: 20, 40, 60, 90, 120 and 180 min
Plasma GLP-1 Area Under the Curve
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Area Under the Curve (AUC) for plasma GLP-1.
Time frame: 0-180 min
Plasma GLP-1 concentrations
Changes in the plasma GLP-1 concentrations determined by a mixed model analysis and subsequently at each time point with time 0 as a co-variate
Time frame: 20, 40, 60, 90, 120 and 180 min
Subjective appetite scores assessed by visual analogue scale (VAS)
Area Under the Curve (AUC) for all VAS outcomes (satiety, hunger, fullness, prospective food consumption and comfort)
Time frame: 0-180 min
Subjective appetite scores assessed by visual analogue scale (VAS)
Changes in VAS outcomes (satiety, hunger, fullness, prospective food consumption and comfort), determined by a mixed model analysis and subsequently at each time point with time 0 as a co-variate
Time frame: 20, 40, 50, 70, 100, 130 and 180 min