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The HotFacets study is a randomized, controlled, cross-over meal study that investigates the acute effects of alcohol consumption on short-chain fatty acids dynamics, energy metabolism, and biomarkers.
Despite the negative health consequences of chronic alcohol abuse, observational and cohort studies associate moderate alcohol consumption with a 20-30 % lower risk of cardiovascular diseases (CVD) and Type 2 Diabetes Mellitus (T2DM), compared to abstainers. Based on the J-shaped relationship between alcohol intake and the risk of cardiometabolic diseases, ½-2 standard drinks/day can be considered as moderate alcohol consumption. The interpretation of the J-shaped relationship has been criticized mainly due to potential confounding from the selected reference group and uncontrolled lifestyle factors. Longer, well-designed randomized controlled trials are lacking to infer causality and to clarify the mechanism of action for the acute and chronic effects of moderate alcohol consumption on cardiometabolic health and energy homeostasis. However, some aspects of alcohol metabolism and biomarker validation could inform such a study.
HotFacets is set to generate insight into the effects of acute alcohol intake on SCFA dynamics in blood, urine, and faeces; into the dose-response relationship with REE, thermogenesis, substrate oxidation, and alcohol biomarkers; and to explore potential low levels of alcohol produced in the gut.
A randomized, controlled, four times cross-over, single-blinded, meal study with 24 healthy fasting subjects will be conducted with a) placebo (water), b) a metabolic acetate generator (triacetin), and c) a half or d) one unit of isotope labelled ethanol, provided in a randomized order. Volunteers will be confined in a metabolic chamber overnight before each test drink (in 250mL water with lemon and juniper taste) and energy production and expenditure will be measured initially using seven ventilated hood measurements. After the test drinks and ventilated hood measurements an ad libitum lunch will be served before the participants will be admitted to the metabolic chamber, where metabolic measurements will be continued until the following day. Participants will go through a 2-week run-in period before each test drink and a 2-week wash out period afterwards, both with alcohol abstention. From two days before the test day in each period until one day after the test days, standardized foods will be provided. Anthropometrics, DXA, heart rate, blood pressure and all movements will be recorded before and/or during the test days. Before, during, and after the test day repeated biological samples (i.e., urine, blood, feces, hair) will be collected. The study will be divided into a pre-trial (8 subjects, 50-75y) and a main trial (16 subjects, 25-75y).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Treatment order A-.B-C-D | Experimental | A: 5g ethanol-2-D3 mixed into 250ml water with added aromas of gin and lime juice B:10g ethanol-2-D3 mixed into 250ml water with added aromas of gin and lime juice C: 8g Triacetin mixed into 250ml water with added aromas of gin and lime juice D: 250ml water with added aromas of gin and lime juice |
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| Treatment order B-D-A-C | Experimental | A: 5g ethanol-2-D3 mixed into 250ml water with added aromas of gin and lime juice B:10g ethanol-2-D3 mixed into 250ml water with added aromas of gin and lime juice C: 8g Triacetin mixed into 250ml water with added aromas of gin and lime juice D: 250ml water with added aromas of gin and lime juice |
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| Treatment order C-A-D-B | Experimental | A: 5g ethanol-2-D3 mixed into 250ml water with added aromas of gin and lime juice B:10g ethanol-2-D3 mixed into 250ml water with added aromas of gin and lime juice C: 8g Triacetin mixed into 250ml water with added aromas of gin and lime juice D: 250ml water with added aromas of gin and lime juice |
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| Treatment order D-C-B-A | Experimental | A: 5g ethanol-2-D3 mixed into 250ml water with added aromas of gin and lime juice B:10g ethanol-2-D3 mixed into 250ml water with added aromas of gin and lime juice C: 8g Triacetin mixed into 250ml water with added aromas of gin and lime juice D: 250ml water with added aromas of gin and lime juice |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Ethanol | Dietary Supplement | Crossover meal study |
|
| Measure | Description | Time Frame |
|---|---|---|
| SCFA dynamics | Difference in isotope labelled and unlabelled SCFA (mainly acetate, butyrate and propionate) concentration time course in feces, blood and urine following one unit of alcohol intake compared with half a unit, triacetin or water. | 0-48 hours after intake |
| Measure | Description | Time Frame |
|---|---|---|
| Resting energy expenditure | Difference in resting energy expenditure, diet induced thermogenesis, and substrate oxidation following one unit of alcohol intake compared with half a unit, triacetin or water. | 0-3 hours after intake |
| substrate oxidation rate |
| Measure | Description | Time Frame |
|---|---|---|
| Microbiome composition | Differences in taxonomic composition (relative or absolute) of the gut microbiota when comparing one unit of alcohol intake compared with half a unit, triacetin or water. | 0-48 hours after intake |
| Microbiome functionality |
Subjects will be recruited to the trial in two seasons. First, eight healthy men and post-menopausal women 50-75 years will be recruited for the pre-trial during autumn/winter 2021. Secondly, 16 healthy men and women with an age-range of 25-75 years will be recruited for the main trial during late spring/summer 2022.
Age-specific inclusion criteria for the pre-trial:
Age-specific inclusion criteria for the main-trial:
Inclusion criteria for the pre- and main-trial:
Exclusion Criteria:
Alcohol naïve or has not consumed alcohol within the last year
Any history of alcohol or substance abuse or a high alcohol intake, defined as:
Intolerance or allergy to alcoholic beverages, juniper or citrus
Diagnosed with any CVD event (MI, revascularization procedure or stroke) within the past six months
Diagnosed with any known or past severe chronic disease including liver diseases (e.g., active hepatitis B and C infections, liver cirrhosis, hepatitis, cancer), T2DM, prediabetes, hypertension, severe psychiatric illness or frequent use of medication (except over-the-counter drugs or mild anti-depressants) or any other clinical condition that makes the subject ineligible according to the clinically responsible medical doctor (self-reported).
Cancer - active malignant cancer or history of malignancy within the last 5 years (with exception of non-melanoma skin cancer).
Previous breast cancer diagnosis or at high risk of breast cancer defined as:
A Patient Health Questionnaire (PHQ-9, appendix 3) ≥15 at screening or a positive response on question 9 (thoughts about suicide)
Diagnosed with atrial fibrillation
Hemoglobin (Hb) levels below 7.3 mmol/L for women and 8.3 mmol/L for men.
Chronic use of any type of medication, except for mild antidepressants or contraceptives
Any use of contraindicated medication for alcohol intake, such as disulfiram, dual antiplatelet therapy, metronidazole, warfarin or hormone replacement therapy
Hypersensitive to plasters
Use of any type of antibiotics within two month before the first test day
Unintentional weight loss >20% during the last 6 months
Any type of gastrointestinal problems or prior surgery expected to influence gut health and absorption.
Estimated glomerular filtration rate (eGFR) < 30 ml/min/1.73 m2 or end-stage renal disease
Liver function tests >2 times the upper limit of the normal range according to current limits at "sundhed.dk": alanine transaminase (ALT), aspartate aminotransferase (AST), and gamma-glutamyltransferase (GGT).
Blood donations within the past three months before the recruitment
Having no hair on the head (bald-headed)
Current participation in another trial
Not willing to sign the Informed consent form (ICF)
Not willing to comply with the all the trial procedures including completion of the two-week run-in periods without drinking alcohol as well the two-week wash-out periods
Unable or unwilling to follow the safety procedures related to Covid19
Any other issue that makes the project responsible researcher doubt the eligibility of the volunteer
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Lars Ove Dragsted, PhD | Contact | +45 35 33 26 94 | ldra@nexs.ku.dk | |
| Catalina Cuparencu, Postdoc | Contact | cup@nexs.ku.dk |
| Name | Affiliation | Role |
|---|---|---|
| Lars O Dragsted, PhD | University of Copenhagen | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Nutrition, Exercise and Sports, University of Copenhagen | Recruiting | Copenhagen | Frederiksberg C | 1958 | Denmark |
Samples are to be anonymized before being shared with other researchers if the case.
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| ID | Term |
|---|---|
| D000431 | Ethanol |
| ID | Term |
|---|---|
| D000438 | Alcohols |
| D009930 | Organic Chemicals |
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Difference in resting energy expenditure, diet induced thermogenesis, and substrate oxidation following one unit of alcohol intake compared with half a unit, triacetin or water. |
| 0-3 hours after intake |
| diet induced thermogenesis | Difference in resting energy expenditure, diet induced thermogenesis, and substrate oxidation following one unit of alcohol intake compared with half a unit, triacetin or water. | 0-3 hours after intake |
| Biomarkers of alcohol intake in hair | Difference in alcohol biomarker levels of ethyl glucuronide, ethyl sulphate and fatty acid ethyl esters in hair following one unit of alcohol intake compared with half a unit, triacetin or water. | 0-1 month after intake |
| Biomarkers of alcohol intake in urine | Difference in alcohol biomarker levels in urine following one unit of alcohol intake compared with half a unit, triacetin or water. | 0-1 month after intake |
| Biomarkers of alcohol intake in red blood cells | Difference in alcohol biomarker levels in red blood cells following one unit of alcohol intake compared with half a unit, triacetin or water. | 0-1 month after intake |
| Biomarkers of alcohol intake in blood serum or plasma | Difference in alcohol biomarker levels in blood serum or plasma following one unit of alcohol intake compared with half a unit, triacetin or water. | 0-1 month after intake |
| Low-level endogenous alcohol production measured as biomarkers of ethanol exposure during strict abstention in a metabolic chamber | Difference in low-level baseline alcohol production by the yeast and bacteria in the gut following one unit of alcohol intake compared with half a unit, triacetin or water. | 0-48 hours after intake |
| Isotope labelled metabolites | Difference in metabolites of (non-radioactive) isotope-labelled ethanol compared with triacetin ingestion in blood, red blood cells, urine, faeces and hair; these metabolites are measured by liquid chromatography time-of-flight mass spectrometry as an increase in the third isotope peak for any molecular mass feature in the chromatogram. | 0-48 hours after intake |
| Heart rate and blood pressure | Difference in heart rate and BP including diurnal biphasic systolic and diastolic fluctuations measured through 24-hour ambulatory BP after one unit of alcohol intake compared with half a unit, triacetin or water. | 0-24 hours after intake |
| Alcohol levels in breath | Difference in alcohol levels measured by an alcohol breath analyzer after one unit of alcohol intake compared with half a unit, triacetin or water. | 0-8 hours after intake |
Differences in alcohol-producing functional composition of the oral and gut microbiota, when comparing samples collected before and after one unit of alcohol intake compared with half a unit, triacetin or water. This fundtional composition is determined by the relative abundance of Anaerostipes caccae, Bacteroides thetaiotaomicron, Bifidobacterium longum, Enterococcus fecalis, Escherichia coli, Lactobacillus acidophilus, Lactobacillus fermentum, Lactobacillus plantarum, Weissella confusa, Clostridium subclusters IV and XIVa, Saccharomyces cerevisiae, Candida albicans and any other established alcohol-producing microbiota.
| 0-48 hours after intake |
| Faecal pH | Differences in faecal pH, when comparing one unit of alcohol intake compared with half a unit, triacetin or water. | 0-48 hours after intake |
| Metabolic fingerprints of urine | Difference in metabolomes of urine when comparing samples taken up to 48 hours after one unit of alcohol intake compared with half a unit, triacetin or water. The LC-MS and NMR metabolomes will be compared by PLS-DA to find discriminant patterns of metabolic features. | 0-48 hours after intake |
| Metabolic fingerprints of plasma or serum | Difference in metabolomes of blood serum/plasma when comparing samples collected after one unit of alcohol intake compared with half a unit, triacetin or water. The LC-MS and NMR metabolomes will be compared by PLS-DA to find discriminant patterns of metabolic features. | 0-48 hours after intake |
| Metabolic fingerprints of feces | Difference in metabolomes of feces, when comparing samples collected after one unit of alcohol intake compared with half a unit, triacetin or water. The LC-MS and NMR metabolomes will be compared by PLS-DA to find discriminant patterns of metabolic features. | 0-48 hours after intake |
| Lars Ove Dragsted | Recruiting | Frederiksberg | 1958 | Denmark |
|