Type 2 Diabetes
Conditions
Brief summary
This is a study to identify different subtypes of type 2 diabetes. The investigators will look for information at the molecular level, which may lead to personalized diagnosis and therapies.
Detailed description
Type 2 diabetes mellitus (T2DM) is approaching epidemic prevalence in the US adult population (over 1 in 10 of all US adults over 20). Diabetes is diagnosed based on fasting hyperglycemia, oral glucose intolerance or markers of hyperglycemia such as HbA1c. However, we now recognize that diabetes is a heterogeneous disorder. With the existing overly simplistic diagnostic criteria, treatment failure rates are high for virtually every agent currently in the drug arsenal - including insulin. In the late 1990's oncologists pioneered the use of high-throughput molecular technologies, such as transcriptome profiling and more recently metabolomics to identify discrete sub-classes of cancers that cannot be distinguished histologically or by a small number of biochemical markers. That effort rapidly accelerated the pace of scientific discovery and quickly led to the development of personalized cancer therapeutics. We believe that those cancer efforts provide a roadmap for biomarker discovery and personalized therapy in diabetes. molecular phenotyping (profiling the metabolome, transcriptome, and epigenome) with advanced bioinformatics analysis will identify discrete subtypes of diabetes - ushering in a new era of personalized diagnosis and therapy in diabetes.
Interventions
None listed
Sponsors
AdventHealth
Sanford-Burnham Medical Research Institute
UCSF Benioff Children's Hospital Oakland
Duke Univeristy Sarah W. Stedman Nutrition & Metabolism Center
AdventHealth Translational Research Institute
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Age \> 18 * HbA1C \< 8.0% \* * You have not gained or lost more than 3 kg or 6.6 pounds in the last 8 weeks * You have not lost more than 10% of your heaviest body weight in your lifetime * BMI \< 25 kg/m2 or \> 30 kg/m2 * Women: more than 1 year post-partum * Have diabetes and are able to maintain accurate and reliable home glucose monitoring logs
Exclusion criteria
* Treatment with more than 2 of the following: metformin (Fortamet, Glucophage, Glumetza, Riomet), sulfonylureas (Glucotrol, Diabeta, Glynase, Micronase), Glucagon-like peptide-1 analogs (Byetta) and/or Dipeptidyl peptidase IV inhibitors (Januvia, Onglyza) * Treatment with long acting Glucagon-like peptide-1 agonists within the last 3 months (i.e. exenatide once weekly) * Treatment with thiazolidinediones (TZDs) (i.e. Avandia, Actos, Rezulin) within the last 3 months * Known, untreated thyroid disease or abnormal thyroid function blood test.\* * Known diagnosis of liver disease (except NASH) or elevated liver function blood test * Known diagnosis of kidney disease or elevated kidney function blood test * Uncontrolled high blood pressure (BP \> 140 systolic or \> 90 diastolic) * Start of or changes in oral contraceptives or hormone replacement therapy within the last 3 months * Use of drugs or alcohol (\> 3 drinks per day) within the last 5 years. * Uncontrolled psychiatric disease that would interfere with study participation. * History of cancer within the last 5 years (skin cancers, with the exception of melanoma, may be acceptable) * History of organ transplant * History of heart attack within the last 6 months * Current treatment with blood thinners or antiplatelet medications that cannot be safely stopped for testing procedures * Current anemia * History of HIV, active Hepatitis B or C, or Tuberculosis * Presence of clinically significant abnormalities on electrocardiogram. * Current smokers (smoking any nicotine or non-nicotine product within the past 3 months) * Use of any medications known to influence glucose, fat and/or energy metabolism within the last 3 months (e.g., growth hormone therapy, glucocorticoids \[steroids\], etc.)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Perform 'deep' clinical and molecular phenotyping of 360 adults- Diabetic and Non-Diabetic | up to Day 9 | Phenotyping will include whole body composition (DEXA), substrate metabolism, classic diabetes phenotypes, and detailed molecular phenotyping of circulating mononuclear cells/ plasma, muscle and adipose tissue. |
Countries
United States
Outcome results
None listed