Diabetes Mellitus Clinical Trial
— fATDIVAOfficial title:
Defining Adipose Tissue Lipid Deposition in Normal Weight Individuals With a Genetic Predisposition to Insulin Resistance
Verified date | June 2018 |
Source | Royal Devon and Exeter NHS Foundation Trust |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The adipose (fat) cells under the skin are where individuals store excess fat. The more
excess fat they have, the more "strain" they put on these cells which then get bigger and
don't work as well as they should. Having some fat under the skin is important. People who
have a genetic defect which results in them having almost no fat under their skin have a very
high risk of a condition called insulin resistance (where the body does not respond as well
to insulin and blood sugar levels rise). This can lead to diabetes and heart disease despite
them not being overweight.
Scientists have only recently started to understand the importance of fat in insulin
resistance and how people unable to store fat very well can have insulin resistance despite
not being obese. The investigators have also recently discovered that small changes in a
person's genetic code (their body's instruction manual) may also affect their ability to
store fat and would like to explore this in more detail. To do this, they will recruit
volunteers from the Exeter 10,000 study who gave permission to contact them about further
research. The investigators will collect detailed body size measures and blood samples taken
before and after a special drink that is high in fat (similar to a thick milk shake), then
compare the results between people with and without the particular genetic changes of
interest.
Knowing more about these genetic changes and how fat cells work could help to improve
understanding about why some people develop diabetes and heart disease despite a relatively
normal BMI.
Status | Completed |
Enrollment | 304 |
Est. completion date | October 31, 2017 |
Est. primary completion date | October 31, 2017 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 75 Years |
Eligibility |
Inclusion Criteria: - Demographics: Age 18-75 inclusive - Ethnicity: Reflective of local demographic - Mental capacity: Willing and able to provide informed consent Exclusion Criteria: - Medical history: Treated Diabetes (including insulin and GLP-1 analogues), history of bariatric surgery and recent significant weight loss/gain (+/- 3 kgs/half a stone in the last 3 months); connective tissue disease, pregnancy and lactation. - Medications: Currently prescribed glucose-lowering medication (we will NOT exclude those controlling their diabetes with diet alone), oral/IV corticosteroid treatment or loop diuretics (furosemide, bumetanide), antiplatelet and anticoagulation medication, methotrexate - Mental capacity: Unable/unwilling to provide informed consent. |
Country | Name | City | State |
---|---|---|---|
United Kingdom | University of Exeter | Exeter | Devon |
Lead Sponsor | Collaborator |
---|---|
Royal Devon and Exeter NHS Foundation Trust | University of Exeter |
United Kingdom,
Alkhouli N, Mansfield J, Green E, Bell J, Knight B, Liversedge N, Tham JC, Welbourn R, Shore AC, Kos K, Winlove CP. The mechanical properties of human adipose tissues and their relationships to the structure and composition of the extracellular matrix. Am J Physiol Endocrinol Metab. 2013 Dec;305(12):E1427-35. doi: 10.1152/ajpendo.00111.2013. Epub 2013 Oct 8. — View Citation
Carstensen M, Thomsen C, Hermansen K. Incremental area under response curve more accurately describes the triglyceride response to an oral fat load in both healthy and type 2 diabetic subjects. Metabolism. 2003 Aug;52(8):1034-7. — View Citation
Karamanos BG, Thanopoulou AC, Roussi-Penesi DP. Maximal post-prandial triglyceride increase reflects post-prandial hypertriglyceridaemia and is associated with the insulin resistance syndrome. Diabet Med. 2001 Jan;18(1):32-9. — View Citation
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Semple RK, Sleigh A, Murgatroyd PR, Adams CA, Bluck L, Jackson S, Vottero A, Kanabar D, Charlton-Menys V, Durrington P, Soos MA, Carpenter TA, Lomas DJ, Cochran EK, Gorden P, O'Rahilly S, Savage DB. Postreceptor insulin resistance contributes to human dyslipidemia and hepatic steatosis. J Clin Invest. 2009 Feb;119(2):315-22. doi: 10.1172/JCI37432. Epub 2009 Jan 26. — View Citation
Stears A, O'Rahilly S, Semple RK, Savage DB. Metabolic insights from extreme human insulin resistance phenotypes. Best Pract Res Clin Endocrinol Metab. 2012 Apr;26(2):145-57. doi: 10.1016/j.beem.2011.09.003. Review. — View Citation
Yaghootkar H, Scott RA, White CC, Zhang W, Speliotes E, Munroe PB, Ehret GB, Bis JC, Fox CS, Walker M, Borecki IB, Knowles JW, Yerges-Armstrong L, Ohlsson C, Perry JR, Chambers JC, Kooner JS, Franceschini N, Langenberg C, Hivert MF, Dastani Z, Richards JB, Semple RK, Frayling TM. Genetic evidence for a normal-weight "metabolically obese" phenotype linking insulin resistance, hypertension, coronary artery disease, and type 2 diabetes. Diabetes. 2014 Dec;63(12):4369-77. doi: 10.2337/db14-0318. Epub 2014 Jul 21. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Level of Circulatory Lipids following Triglyceride stimulation test (OTTT) (mmol/L) | Level of Circulatory Lipids will be assessed using measures of triglyceride levels from each post-prandial time point sample. | Within 12 months of recruitment date of final participant | |
Secondary | Mean adipocyte size assessed using Image J | ImageJ is a cross-platform image analysis tool developed to measure particle/cell size and will be used here to measure adipocyte size. | Within 12 months of recruitment date of final participant | |
Secondary | Incremental Area under the Curve NEFA levels (µmol/L) | Incremental Area under the Curve NEFA levels, calculated using values/levels from each post-prandial sample time point and subtracting fasting values. | Within 12 months of recruitment date of final participant |
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