Type2 Diabetes Clinical Trial
— GB7Official title:
Brown Fat Energy Metabolism During Cold Exposure: Effects of Fructose- or Glucose-rich Diet in Healthy Subjects
NCT number | NCT03188835 |
Other study ID # | 2017-1459 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | May 23, 2017 |
Est. completion date | April 30, 2021 |
Verified date | May 2022 |
Source | Université de Sherbrooke |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Activating brown and beige adipose tissue (herein described as BAT) has been recently recognized as a potential means to increase energy expenditure and lower blood glucose, however, BAT activity appears to be reduced with obesity, aging or Type 2 Diabetes (T2D). BAT has the unique capability to burn large amounts of sugar and fat and effectively dissipate this energy as heat due to the expression of uncoupling protein 1 (UCP1) which is controlled by a thermogenic gene program of transcription factors, co-activators and protein kinases. Thus, enhancing the thermogenic gene program may be beneficial for treating obesity and T2D. Despite the importance of BAT in regulating metabolism our understanding of the factors which suppress its metabolic activity with obesity, aging and T2D are largely unknown. Recently, it was shown that peripheral serotonin, which is regulated by the tryptophan hydroxylase 1 (Tph1), is a negative regulator of BAT metabolic activity. In addition to serotonin, other studies have indicated that pro-inflammatory stimuli may also inhibit BAT metabolic activity. These data suggest that reduced activation of BAT may be due to increases in peripheral serotonin and inflammation. Importantly, the gut microbiome has recently been recognized as an important regulator of serotonin and inflammatory pathways suggesting the observed effects of the microbiome on obesity, T2D may be mediated in part through reductions in BAT activity. One mechanism by which the environment may impact BAT activity and the thermogenic gene program over the last 3 decades involves changes in our food supply as result of changes in agricultural production (chlorpyrifos, glyphosphate) and the addition of food additives (fructose). These agents have been reported to alter inflammation, serotonin metabolism and the gut microbiome indicating a potential bimodal (direct and indirect via the microbiome) mechanism by which they may alter the thermogenic gene program and contribute to chronic metabolic disease. Thus, our overarching hypothesis is that environmental agents and additives related to food production may contribute to the reduced metabolic activity of BAT. The objective is to identify and characterize how food production agents and additives reduce the metabolic activity of BAT.
Status | Completed |
Enrollment | 15 |
Est. completion date | April 30, 2021 |
Est. primary completion date | December 17, 2020 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Male |
Age group | 20 Years to 35 Years |
Eligibility | Inclusion Criteria: - Healthy subjects: subjects with normal glucose tolerance determined according to an oral glucose tolerance test and with a BMI < 27 kg/m2 without first degree of familial history of type 2 diabetes (parents, siblings). Exclusion Criteria: 1. Plasma triglycerides > 5.0 mmol/L at fasting; 2. More than 2 alcohol consumption per day; 3. More than 1 cigarette per day; 4. History of total cholesterol level > 7 mmol/L, of cardiovascular disease, hypertensive crisis; 5. Treatment with fibrates, thiazolidinedione, insulin, beta-blockers or other drugs with effects on insulin resistance or lipid metabolism (exception for anti-hypertensive drugs, statins or metformin); 6. Presence of a non-controlled thyroid disease, renal or hepatic disease, history of pancreatitis, bleeding diatheses, cardiovascular disease or any other serious medical conditions; 7. History of serious gastrointestinal disorders (malabsorption, peptic ulcer, gastroesophageal reflux having required a surgery, etc.); 8. Presence of a pacemaker; 9. Have undergone of PET study or CT scan in the past year; 10. Chronic administration of any medication; |
Country | Name | City | State |
---|---|---|---|
Canada | Centre de recherche du CHUS | Sherbrooke | Quebec |
Lead Sponsor | Collaborator |
---|---|
Université de Sherbrooke | McMaster University, University of Ottawa |
Canada,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Microbiome flora | assessed from stool samples | 4 months | |
Primary | Microbiome metabolites | assessed from stool samples | 4 months | |
Primary | BAT oxidative metabolism | will be determined using i.v. injection of 11C-acetate during dynamic PET/CT scanning | 4 months | |
Primary | BAT triglyceride content | will be determined by radiodensity or MRS | 4 months | |
Secondary | BAT blood flow | will be determined using i.v. injection of 11C-acetate during dynamic PET/CT scanning | 4 months | |
Secondary | BAT net glucose uptake | will be assessed using i.v. injection of 18FDG with sequential dynamic PET/CT scanning. | 4 months | |
Secondary | Whole-body glucose partitioning | will be assessed using i.v. injection of 18FDG with static PET/CT scanning | 4 months | |
Secondary | BAT volume of metabolic activity | will be determined using a total body CT (16 mA) followed by a PET acquisition | 4 months | |
Secondary | metabolites appearance rate | will be determined by perfusion of stable isotope tracers | 12 months | |
Secondary | energy metabolism (whole body production) | by indirect calorimetry | 4 months | |
Secondary | hormonal responses | analysed by colorimetric and Elisa tests | 12 months |
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