A drink containing 5 amino acids and chromium picolinate decreases postprandial glucose: a meta-analysis of controlled trials

Samigullin, Azat; Andersson, Kjell; Heyman-Lindén, Lovisa; Öste, Rickard; Östman, Elin; Humpert, PM

doi:10.1055/s-0038-1641895

Cited by 1 publication

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“…While no significant reduction in postprandial glycemia was found when comparing the FD to placebo on its own, FD with added carbohydrate-containing juice (FDJ) as well as the combination of FD and FDJ, demonstrated a pronounced and significant effect on iAUC 0−120 (adjusted for the meal composition). Higher efficacy of FDJ compared to FD suggests an enhanced postprandial glucose lowering with an increasing carbohydrate load, a situation in which the improved early insulin response previously shown for FD (without changing total iAUC for insulin) ( 24 , 29 ) could be even more beneficial for postprandial glucose disposal. The positive effects of early insulin have convincingly been shown both in healthy individuals and diabetes patients ( 37 , 38 ).…”

Section: Discussionmentioning

confidence: 93%

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Continuous glucose monitoring as a close to real life alternative to meal studies – a pilot study with a functional drink containing amino acids and chromium

Samigullin¹,

Humpert²,

Östman³

2022

Front. Med. Technol.

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This pilot study aimed to evaluate a continuous glucose monitoring (CGM) based approach to study the effects of a functional drink containing specific amino acids and chromium picolinate (FD) and a combination of FD with a juice (FDJ) on postprandial glucose in a close to real life setting. The predefined primary endpoint for this study was the 120-min incremental area under the glucose curve (iAUC0−120min) after meals. It was estimated that using CGM and repeated meals in 6 participants could be sufficient to match the power of the previous study in regards to the quantity of meals. Participants followed a pre-specified meal schedule over 9 days and consumed the drinks three times daily with main meals. Differences between drinks were analyzed by analysis of covariances (ANCOVA) with subject number and activity as random factors and nutrient composition as covariates. In 156 meals available for analysis, a significant 34% reduction of glucose iAUC0−120min was shown for FDJ (p < 0.001). FD did not show a significant effect on its own, but a significant reduction of 17.6% (p = 0.007) was shown in pooled data for FD and FDJ. While the differences between the two functional drinks used were not the primary focus of this study, it was sufficiently powered to detect previously described effects in 60 participants in a cross-over design under laboratory settings. The design presented defines a novel and cost-effective approach using CGM devices and app-based lifestyle tracking for studying nutritional effects on glucose at home in a close to real-life setting.

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Section: Discussionmentioning

confidence: 93%

“…In addition, advertisement was posted once in social media. The participant profile has been defined according to findings in data from previous studies ( 29 ). Participants were required to be 40–65 years of age, have a BMI of 25.0–29.9 kg/m 2 , HOMA-IR <2.5, and fasting blood glucose <6.1 mmol/L.…”

Section: Methodsmentioning

confidence: 99%