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A Personal Microbiome-dependent Glucose Response in Healthy Young Volunteers

A Personal Microbiome-dependent Glucose Response in Healthy Young Volunteers: a Meal Test Study

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03686293
Acronym
MIGLUCOSE
Enrollment
31
Registered
2018-09-26
Start date
2018-10-12
Completion date
2018-12-11
Last updated
2018-12-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Blood Glucose, High

Keywords

Glucose tolerance, Gut microbiota, Microbial richness, Gastric emptying, Metabolomics

Brief summary

Individuals eating identical meals present high variability in post-meal blood glucose response making comparisons challenging. This study evaluates in 40 healthy and fasted participants whether the postprandial glucose response upon a standardized breakfast is dependent on gut microbial richness. Gastric emptying rate, intestinal transit time, insulin, appetite hormones and measures of the intestinal microbiome and fermentation will also be analyzed in the context of postprandial glucose metabolism.

Detailed description

Elevated blood glucose levels constitute a major risk factor for pre-diabetic and diabetic patients. Postprandial glucose tests have been used for decades to monitor and compare glucose responses. Yet, individuals eating identical meals present high variability in post-meal blood glucose response making comparisons challenging. A recent landmark study showed that the inter-individual variation of postprandial glucose responses was associated with multiple person-specific factors including faecal microbiome factors. Gut microbial richness has for a long time been considered a hallmark of gut health and stability. Furthermore, microbial richness has been associated with colonic transit time, which together with the gastric emptying rate appear to be major determinants of the initial glycaemic response to carbohydrate-containing meals. Therefore, the aim of the study is to investigate whether postprandial glucose responses are associated with gut microbial richness, as well as secondary measures including gastric emptying rate, intestinal transit time and gut microbial composition and fermentation. In an acute-meal study, 40 healthy fasted participants will consume a standardized breakfast including one tablet of paracetamol (for estimating gastric emptying rate) and 300 mL of juice.

Interventions

One tablet of paracetamol (500 mg) and a glass of water (150 mL) is consumed followed by a breakfast consisting of white bread, butter, jam, and juice (300 mL) and

Sponsors

Technical University of Denmark
CollaboratorOTHER
University of Copenhagen
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Intervention model description

Acute meal test

Eligibility

Sex/Gender
ALL
Age
18 Years to 40 Years
Healthy volunteers
Yes

Inclusion criteria

* BMI \< 27 * Willing to eat lentils, tomatoes, spaghetti, bread, butter, strawberry jam, and drink juice * Known ability to tolerate paracetamol * No current use of medication (oral contraceptive pill and mild antidepressants is allowed) * Did not take antibiotics, diarrhoea inhibitors and laxatives in the 6 previous months * Willing to collect and deliver a faecal sample on the intervention day * Willing to eat corn and fill out a self-reported corn-intestinal transit time questionnaire * Willing to consume a paracetamol tablet (500 mg paracetamol)

Exclusion criteria

* Any condition that makes the project responsible researcher to doubt the feasibility of the volunteer's participation * Pregnant or lactating women * Suffering from irritable bowel disease (IBS), small intestine bacterial overgrowth (SIBO) or inflammatory bowel disease (IBD) * Current chronic or infectious disease * Current diagnosis of diabetes * Blood donations within 3 months before participating in the current trial or participation in other scientific experiments * Frequent intake of painkillers (paracetamol)

Design outcomes

Primary

MeasureTime frameDescription
Postprandial plasma glucose at 60 min as a function of gut microbial richness60 minWe test whether there is an inverse association between baseline fecal gut microbial richness and postprandial plasma glucose at 60 min after a standardised meal including 0.5 g paracetamol

Secondary

MeasureTime frameDescription
Maximum plasma glucose concentration as a function of gut microbial diversity/richness0, 15, 30, 60, 90 and 120 minWe test associations between gut microbial diversity/richness and maximum postprandial plasma glucose concentration \[Cmax\] after a standardised meal including 0.5 g paracetamol.
Postprandial plasma glucose extremes as a function of gut microbial diversity/richness0, 15, 30, 60, 90 and 120 minWe test associations between gut microbial diversity/richness and the difference from the postprandial plasma glucose peak to the glucose level after 60 min or at the postprandial minimum between 30-120 min after a standardised meal including 0.5 g paracetamol.
Time to plasma glucose maximum concentration as a function of gut microbial diversity/richness0, 15, 30, 60, 90 and 120 minWe test associations between gut microbial diversity/richness and the time to the postprandial plasma glucose maximum concentration \[Cmax\] after a standardised meal including 0.5 g paracetamol
Fasting (baseline) plasma glucose as a function of gut microbial diversity/richness0 minWe test whether there is an inverse association between fasting plasma glucose and baseline fecal gut microbial richness (cross-sectionally)
Postprandial glucose 0-60 min as a function of gastric emptying0, 15, 30, 60 minWe test associations between gastric emptying measured as AUC 0-60 min of postprandial paracetamol concentration profiles in blood and postprandial plasma glucose at 60 min during a standardised meal including 0.5 g paracetamol
Gastric emptying and postprandial glucose 0-120 min0, 15, 30, 60, 90 and 120 minWe test associations between gastric emptying measured as AUC 0-120 min of postprandial paracetamol concentration profiles in blood and postprandial plasma glucose AUC 0-120 min during a standardised meal test with intake of 0.5 g paracetamol
Postprandial plasma glucose AUC as a function of gut microbial richness/diversity0, 15, 30, 60, 90 and 120 minWe test associations between gut microbial diversity/richness and AUC 0-120 min for plasma glucose after a standardised meal including 0.5 g paracetamol

Other

MeasureTime frameDescription
Lipid metabolism0, 15, 30, 60, 90 and 120 minBile acids in blood (fasting and postprandially) and in feces (baseline)
Glucagon like peptide 1 (GLP-1)0, 15, 30, 60, 90 and 120 minPlasma glucagon like peptide 1 (GLP-1) measured in fasting and postprandial plasma samples
Peptide tyrosine tyrosine (PYY)0, 15, 30, 60, 90 and 120 minPYY measured in fasting and postprandial plasma samples
Ghrelin0, 15, 30, 60, 90 and 120 minGhrelin measured in fasting and postprandial plasma samples
Gastric inhibitory polypeptide (GIP)0, 15, 30, 60, 90 and 120 minGIP measured in fasting and postprandial plasma samples
Cholecystokinin (CCK)0, 15, 30, 60, 90 and 120 minCCK measured in fasting and postprandial plasma samples
Gastric emptying0, 15, 30, 60, 90 and 120 minGastric emptying measured as postprandial paracetamol concentration profiles in blood
Saliva microbiome0 minDetermination of saliva microbiome composition at baseline
Feces short-chain fatty acids0 minFeces short-chain fatty acids measured in all fecal samples collected at baseline
Feces pH0 minFeces pH measured in all fecal samples collected at baseline
Feces energy0 minFeces energy measured in all fecal samples collected at baseline by bomb calorimetry
Stool consistency0 minConsistency of stool sample collected at baseline assessed by the Bristol stool scale
Intestinal transit timeBefore interventionParticipants are instructed to observe the time it takes corn to travel through their gastrointestinal system five days prior to the intervention
Defecation patternsBefore interventionAverage number of poops per day and average stool consistency as assessed by Bristol stool scale
Gastrointestinal symptomsBefore interventionGastrointestinal symptoms measured on a 10 cm visual analog scale (VAS)
Postprandial breath exhalation0, 60, 150 minFasting and postprandial breath hydrogen/methane exhalation
Fecal microbiome0 minDetermination of fecal microbiome composition at baseline
Urine metabolome0, 0-150 minUrine metabolome as determined by untargeted metabolic profiling by LC-QTOF of all urine samples collected before the meal and postprandially from 0-150 min
Fecal metabolome0 minFecal metabolome as determined by untargeted metabolic profiling by LC-QTOF of ethanolic extracs from all baseline fecal samples collected before the intervention
Plasma metabolome0, 15, 30, 60, 90 and 120 minPlasma metabolome as determined by untargeted metabolic profiling by LC-QTOF of ethanolic extracs from all fasting and postprandial plasma samples
Glucose metabolism0, 15, 30, 60, 90 and 120 minPlasma glucose measured in fasting and postprandial plasma samples
Plasma Insulin0, 15, 30, 60, 90 and 120 minPlasma insulin measured in fasting and postprandial plasma samples
Plasma short-chain fatty acids0, 15, 30, 60, 90 and 120 minPlasma short-chain fatty acids measured in fasting and postprandial plasma samples

Countries

Denmark

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026