Dataset Information

Comparison of the Acute Glycemic and Insulinemic Response of FossenceTM, a Short Chain Fructo-Oligosaccharide, Taken Alone, Added or Substituted into a Carbohydrate Load

ABSTRACT: Abstract Objectives To explore the physiological response to ingestion of FossenceTM, a short chain fructo-oligosaccharide, when taken alone or when added or substituted into a carbohydrate load. Methods In a randomized, controlled, cross-over design, 25 healthy subjects completed three phases (phase 1: 13M:12F; 41 ± 14y; 24.4 ± 2.2 kg/m²; phase 2: 13M:12F; 40 ± 14y; 24.5 ± 2.4 kg/m²; phase 3: 13M:12F; 41 ± 14y; 24.3 ± 2.6 kg/m²; Mean ± SD). On separate days, each subject received in Phase 1: 10 g FossenceTM(10FOS), 10 g Dextrose (10Dex) or a water control (Control); Phase 2: 50 g Dextrose alone (50Dex), Dextrose with 15 g FossenceTM(50Dex + 15FOS), 35 g Dextrose alone (35Dex) or Dextrose with 15 g FossenceTM(35Dex + 15FOS); and Phase 3 received: 50 g available carbohydrate (avCHO) from white bread alone (50WB) or with 15 g FossenceTM(50WB + 15FOS), 35 g avCHO from white bread alone (35WB) or with 15 g FossenceTM(35WB + 15FOS). Blood samples were collected at fasting and over 2 hours after the start of the test meal and analyzed for glucose and insulin levels. The primary endpoint was differences in glucose IAUC. (ClinicalTrials.gov: NCT03755232). Results Phase 1: The glucose IAUC was significantly lower after 10FOS and Control compared to 10Dex (P < 0.0001). Similarly, the insulin IAUC was significantly lower after Control and 10FOS compared to 10Dex (P < 0.0001). Phase 2: The glucose IAUC was significantly lower after 35Dex and 35Dex + 15FOS compared to 50Dex (P < 0.0001). Insulin IAUC was significantly lower after 35Dex compared to 50Dex and 50Dex + 15FOS, the IAUC of 35Dex + 15FOS was significantly lower than 50Dex (P < 0.0003). Phase 3: The glucose IAUC was significantly lower after 35WB and 35WB + 15FOS compared to 50WB and 50WB + 15FOS (P < 0.00001). Insulin IAUC was significantly lower after 35WB and 35WB + 15FOS compared to 50WB and 50WB + 15FOS (P < 0.00001). Conclusions These studies demonstrate that FossenceTM, when consumed alone, does not increase postprandial glucose and insulin levels, indicating it is resistant to breakdown. When added to a carbohydrate load, no increase in postprandial glucose or insulin levels is observed while substitution of 30% of glycemic carbohydrate by FossenceTMsignificantly decreased postprandial glucose and insulin levels. FossenceTM, being sweet to taste, may be advised to individuals on restricted sugar intake. Funding Sources Tata Chemicals Ltd, India.

SUBMITTER: Shah P

PROVIDER: S-EPMC7258864 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Short chain fructo-oligosaccharides (scFOS) are well-recognized prebiotic fibers. Fossence™ (FOSS) is a scFOS that has been produced from sucrose via a proprietary fermentation process and has not been tested for its digestibility or glucose/insulin response (GR and IR, respectively). The present randomized, controlled, cross-over study was conducted in 3 phases to explore GR and IR to ingestion of FOSS, when replaced by/added to available-carbohydrates (avCHO) among 25 healthy adults (40 ± 14years). In each phase GR and IR elicited by 3-4 test-meals were measured among the fasted recruited subjects. The interventional test meals were as follows: Phase-1, water alone or 10g FOSS or 10g Dextrose in 250ml water; Phase-2, 250ml water containing Dextrose:FOSS (g:g) in the content as 50:0 or 50:15 or 35:0 or 35:15; Phase-3 portions of white-bread (WB) containing avCHO:FOSS (g:g) in the content as 50:0 or 50:15 or 35:0 or 35:15. Blood samples (finger prick method) were collected at fasting and 15, 30, 45, 60, 90 and 120 min after start of test meal ingestion. Plasma glucose and serum insulin were analyzed utilizing standard methods. The primary endpoint was differences in glucose IAUC. All subjects provided their written consent to participate in the study (ClinicalTrials.gov: NCT03755232). The results demonstrated that FOSS, when consumed alone, showed no raise in glycaemia or insulinemia and was statistically equivalent to response of water alone. GR and IR elicited by dextrose:FOSS and WB:FOSS test-meals of Phase 2 and Phase 3, were statistically equivalent to the respective test-meals without FOSS. Result of the 3 phases support the hypothesis that FOSS is resistant to breakdown and is indigestible in the human small-intestine, and therefore can be classified as an unavailable carbohydrate that does not raise post prandial blood glucose or insulin. FOSS, being sweet to taste, may be an acceptable sugar replacer in beverages without compromising their taste and sensory qualities.

Project description:Fructo-oligosaccharide (FOS) and pectin are known soluble dietary fibers and can influence gut microbiota and consequently modulate gut health. To understand the differential impact patterns of pectin vs. FOS in modulating gut microbiota in the small and large intestine, an ileal-cannulated pig model was adopted to compare the temporal and spatial effects of FOS and citrus pectin (CP) on the gut microbiota. Sixteen terminal ileal-cannulated pigs were randomly divided into 2 groups and fed with a standard diet supplemented with either 3% FOS or 3% CP for 28 d. The CP group and FOS group showed different microbial composition, especially in the feces, with time and location as major factors affecting microbiota in the CP group, and with only location contribution in the FOS group. In the feces, relative to the FOS group, the CP group showed higher abundance of Christensenellaceae R-7 group and Ruminococcaceae UCG-010 and lower abundance of Mitsuokella and Olsenella (adjusted P < 0.05), a higher level of short-chain fatty acids and a lower level of lactate at both d 14 and 25 (P < 0.05), and more copy numbers of genes encoding key enzymes related to propionate (mmdA) and butyrate (BCoAT) production and lactate utilization (LcdA) (P < 0.05), indicating a greater degree of microbial carbohydrate fermentation. In the ileum, as compared with FOS, CP increased the bacteria with high capability of fermenting amino acids, including Escherichia-Shigella and Klebsiella (adjusted P < 0.05), and the expression of enzymes responsible for amino acid fermentation (i.e. lysine decarboxylase), as well as the amino acid fermentation products (cadaverine and tyramine) (P < 0.05), indicating a greater degree of amino acid fermentation. Overall, our results highlight a differential dynamic impact of dietary CP vs. FOS on microbial composition and metabolism in the gut. The dietary CP has a stronger ability to promote microbial amino acid fermentation in the ileum and carbohydrate fermentation in the feces than FOS. These findings provide a new insight into the role of different fibers in gut nutrition and guidelines for the choice of fibers in manipulating gut health.

Project description:BackgroundThe quality of carbohydrate consumed, assessed by the glycemic index (GI), glycemic load (GL), or carbohydrate quality index (CQI), affects the postprandial glycemic and insulinemic responses, which have been implicated in the etiology of several chronic diseases. However, it is unclear whether plasma metabolites involved in different biological pathways could provide functional insights into the role of carbohydrate quality indices in health.ObjectivesWe aimed to identify plasma metabolomic profiles associated with dietary GI, GL, and CQI.MethodsThe present study is a cross-sectional analysis of 1833 participants with overweight/obesity (mean age = 67 y) from 2 case-cohort studies nested within the PREDIMED (Prevención con Dieta Mediterránea) trial. Data extracted from validated FFQs were used to estimate the GI, GL, and CQI. Plasma concentrations of 385 metabolites were profiled with LC coupled to MS and associations of these metabolites with those indices were assessed with elastic net regression analyses.ResultsA total of 58, 18, and 57 metabolites were selected for GI, GL, and CQI, respectively. Choline, cotinine, γ-butyrobetaine, and 36:3 phosphatidylserine plasmalogen were positively associated with GI and GL, whereas they were negatively associated with CQI. Fructose-glucose-galactose was negatively and positively associated with GI/GL and CQI, respectively. Consistent associations of 21 metabolites with both GI and CQI were found but in opposite directions. Negative associations of kynurenic acid, 22:1 sphingomyelin, and 38:6 phosphatidylethanolamine, as well as positive associations of 32:1 phosphatidylcholine with GI and GL were also observed. Pearson correlation coefficients between GI, GL, and CQI and the metabolomic profiles were 0.30, 0.22, and 0.27, respectively.ConclusionsThe GI, GL, and CQI were associated with specific metabolomic profiles in a Mediterranean population at high cardiovascular disease risk. Our findings may help in understanding the role of dietary carbohydrate indices in the development of cardiometabolic disorders. This trial was registered at isrctn.com as ISRCTN35739639.

Project description:ObjectiveTo clarify the role of dietary carbohydrate, glycemic index (GI), and glycemic load (GL) in progression from health to coronary heart disease (CHD) by determining disease-nutrient risk relation (RR) values needed for intake ranges within jurisdictions and across the globe.MethodsWe performed a literature search of MEDLINE and EMBASE for prospective cohort studies that used truly valid dietary instruments in heathy adults published from January 1, 2000, to June 5, 2018. Relevant observations were extracted by 2 reviewers independently. We used dose-response meta-analysis accounting for nonindependence of results within studies. Bradford-Hill criteria were used to assess causality.ResultsEligible studies had a mean follow-up of 11 years (range, 5-19 years), were conducted in North America, Europe, and East Asia, and yielded combined RRs of 1.44 (95% CI, 1.25-1.65) per 65 g/d GL (11 studies) and 1.24 (95% CI, 1.12-1.38) per 10 U GI (10 studies) (glucose scale). The CHD-carbohydrate RR on GI was 1.66 (95% CI, 1.23-2.25) per 98 g/d of carbohydrates per 10 units GI. The 65 g/d GL, 10 U GI, and 98 g/d carbohydrate values corresponded to oral intakes from the 10th to the 90th percentiles within sampled populations. Inconsistencies were minor (I 2 ≤20%), as were small-study effects (P=.61 for GL and P=.26 for GI). Funnel plots were symmetric. Cubic spline dose-response meta-analysis yielded RRs as follows: across the global range for GL (55-290 g/d), 5.5 (95% CI, 3.1-9.8) (I 2 =0); for GI (47-82 U), 2.71 (95% CI, 1.47-4.40) (I 2 =0); and for the CHD-carbohydrate dependence on GI (50-80 U), 4.57 (95% CI, 1.86-11.4) (I 2 =16%). Bradford-Hill criteria indicated that these relations were probably causal.ConclusionStrong and probably causal CHD-GL and GI RRs exist within populations. The RRs were remarkably higher across global exposures. The results support the consideration of these markers of carbohydrate food quality in dietary guidelines for general populations.Trial registrationPROSPERO Identifier: CRD42013004504.

Dataset Information

Comparison of the Acute Glycemic and Insulinemic Response of FossenceTM, a Short Chain Fructo-Oligosaccharide, Taken Alone, Added or Substituted into a Carbohydrate Load

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets