NCT02226640

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
80

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Nov 2010

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 1, 2010

Completed
3.5 years until next milestone

First Submitted

Initial submission to the registry

May 16, 2014

Completed
16 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2014

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2014

Completed
3 months until next milestone

First Posted

Study publicly available on registry

August 27, 2014

Completed
Last Updated

February 22, 2018

Status Verified

February 1, 2018

Enrollment Period

3.6 years

First QC Date

May 16, 2014

Last Update Submit

February 21, 2018

Conditions

Outcome Measures

Primary Outcomes (1)

  • Perform 'deep' clinical and molecular phenotyping of 360 adults- Diabetic and Non-Diabetic

    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.

    up to Day 9

Study Arms (8)

Non-Diabetic Lean Athletes

Athletes with a Body Mass Index (BMI) less than or equal to 25 kg/m2.

Non-Diabetic Lean No Diabetes History

Adults with a BMI \< 25 kg/m2 and no family history of diabetes

Non-Diabetic Lean Yes Diabetes History

Adults with a BMI \< 25 kg/m2 and family history of diabetes

Non-Diabetic Obese

Adults with BMI greater than or equal to 30 kg/m2.

Non-Diabetic Obese Female PCOS

Female adults with BMI \> 30 kg/m2 and Polycystic Ovarian Syndrome (PCOS).

Diabetic No Medication

Have diabetes and currently receiving no medication or early treatment with one medication. Some participants receiving insulin may also be included in this study

Diabetic GAD Ab+

Have diabetes with Latent Autoimmune Diabetes in Adults (LADA).

Diabetic With NASH

Have diabetes with Nonalcoholic Steatohepatitis (NASH), which is chronic liver disease with fat in the liver, inflammation, and damage not associated with drinking alcohol.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Community sample

You may qualify if:

  • 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

You may not qualify if:

  • 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
  • +4 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Translational Research Institute for Metabolism and Diabetes

Orlando, Florida, 32804, United States

Location

Related Publications (32)

  • Shoelson SE, Lee J, Yuan M. Inflammation and the IKK beta/I kappa B/NF-kappa B axis in obesity- and diet-induced insulin resistance. Int J Obes Relat Metab Disord. 2003 Dec;27 Suppl 3:S49-52. doi: 10.1038/sj.ijo.0802501.

    PMID: 14704745BACKGROUND
  • Reitman ML, Arioglu E, Gavrilova O, Taylor SI. Lipoatrophy revisited. Trends Endocrinol Metab. 2000 Dec;11(10):410-6. doi: 10.1016/s1043-2760(00)00309-x.

    PMID: 11091118BACKGROUND
  • Itani SI, Ruderman NB, Schmieder F, Boden G. Lipid-induced insulin resistance in human muscle is associated with changes in diacylglycerol, protein kinase C, and IkappaB-alpha. Diabetes. 2002 Jul;51(7):2005-11. doi: 10.2337/diabetes.51.7.2005.

    PMID: 12086926BACKGROUND
  • Moro C, Bajpeyi S, Smith SR. Determinants of intramyocellular triglyceride turnover: implications for insulin sensitivity. Am J Physiol Endocrinol Metab. 2008 Feb;294(2):E203-13. doi: 10.1152/ajpendo.00624.2007. Epub 2007 Nov 14.

    PMID: 18003718BACKGROUND
  • Kelley DE, He J, Menshikova EV, Ritov VB. Dysfunction of mitochondria in human skeletal muscle in type 2 diabetes. Diabetes. 2002 Oct;51(10):2944-50. doi: 10.2337/diabetes.51.10.2944.

    PMID: 12351431BACKGROUND
  • Ritov VB, Menshikova EV, Azuma K, Wood R, Toledo FG, Goodpaster BH, Ruderman NB, Kelley DE. Deficiency of electron transport chain in human skeletal muscle mitochondria in type 2 diabetes mellitus and obesity. Am J Physiol Endocrinol Metab. 2010 Jan;298(1):E49-58. doi: 10.1152/ajpendo.00317.2009. Epub 2009 Nov 3.

    PMID: 19887598BACKGROUND
  • Alizadeh AA, Eisen MB, Davis RE, Ma C, Lossos IS, Rosenwald A, Boldrick JC, Sabet H, Tran T, Yu X, Powell JI, Yang L, Marti GE, Moore T, Hudson J Jr, Lu L, Lewis DB, Tibshirani R, Sherlock G, Chan WC, Greiner TC, Weisenburger DD, Armitage JO, Warnke R, Levy R, Wilson W, Grever MR, Byrd JC, Botstein D, Brown PO, Staudt LM. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature. 2000 Feb 3;403(6769):503-11. doi: 10.1038/35000501.

    PMID: 10676951BACKGROUND
  • Sreekumar A, Poisson LM, Rajendiran TM, Khan AP, Cao Q, Yu J, Laxman B, Mehra R, Lonigro RJ, Li Y, Nyati MK, Ahsan A, Kalyana-Sundaram S, Han B, Cao X, Byun J, Omenn GS, Ghosh D, Pennathur S, Alexander DC, Berger A, Shuster JR, Wei JT, Varambally S, Beecher C, Chinnaiyan AM. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature. 2009 Feb 12;457(7231):910-4. doi: 10.1038/nature07762.

    PMID: 19212411BACKGROUND
  • van't Veer LJ, Bernards R. Enabling personalized cancer medicine through analysis of gene-expression patterns. Nature. 2008 Apr 3;452(7187):564-70. doi: 10.1038/nature06915.

    PMID: 18385730BACKGROUND
  • Wang S, Sparks LM, Xie H, Greenway FL, de Jonge L, Smith SR. Subtyping obesity with microarrays: implications for the diagnosis and treatment of obesity. Int J Obes (Lond). 2009 Apr;33(4):481-9. doi: 10.1038/ijo.2008.277. Epub 2009 Feb 3.

    PMID: 19188926BACKGROUND
  • Ptitsyn A, Hulver M, Cefalu W, York D, Smith SR. Unsupervised clustering of gene expression data points at hypoxia as possible trigger for metabolic syndrome. BMC Genomics. 2006 Dec 19;7:318. doi: 10.1186/1471-2164-7-318.

    PMID: 17178004BACKGROUND
  • Naik RG, Brooks-Worrell BM, Palmer JP. Latent autoimmune diabetes in adults. J Clin Endocrinol Metab. 2009 Dec;94(12):4635-44. doi: 10.1210/jc.2009-1120. Epub 2009 Oct 16.

    PMID: 19837918BACKGROUND
  • West M, Blanchette C, Dressman H, Huang E, Ishida S, Spang R, Zuzan H, Olson JA Jr, Marks JR, Nevins JR. Predicting the clinical status of human breast cancer by using gene expression profiles. Proc Natl Acad Sci U S A. 2001 Sep 25;98(20):11462-7. doi: 10.1073/pnas.201162998. Epub 2001 Sep 18.

    PMID: 11562467BACKGROUND
  • Sorlie T. Molecular portraits of breast cancer: tumour subtypes as distinct disease entities. Eur J Cancer. 2004 Dec;40(18):2667-75. doi: 10.1016/j.ejca.2004.08.021.

    PMID: 15571950BACKGROUND
  • Sorlie T. Introducing molecular subtyping of breast cancer into the clinic? J Clin Oncol. 2009 Mar 10;27(8):1153-4. doi: 10.1200/JCO.2008.20.6276. Epub 2009 Feb 9. No abstract available.

    PMID: 19204193BACKGROUND
  • Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lonning PE, Borresen-Dale AL, Brown PO, Botstein D. Molecular portraits of human breast tumours. Nature. 2000 Aug 17;406(6797):747-52. doi: 10.1038/35021093.

    PMID: 10963602BACKGROUND
  • Mutch DM, Temanni MR, Henegar C, Combes F, Pelloux V, Holst C, Sorensen TI, Astrup A, Martinez JA, Saris WH, Viguerie N, Langin D, Zucker JD, Clement K. Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. PLoS One. 2007 Dec 19;2(12):e1344. doi: 10.1371/journal.pone.0001344.

    PMID: 18094752BACKGROUND
  • Henry RR, Abrams L, Nikoulina S, Ciaraldi TP. Insulin action and glucose metabolism in nondiabetic control and NIDDM subjects. Comparison using human skeletal muscle cell cultures. Diabetes. 1995 Aug;44(8):936-46. doi: 10.2337/diab.44.8.936.

    PMID: 7622000BACKGROUND
  • Ukropcova B, McNeil M, Sereda O, de Jonge L, Xie H, Bray GA, Smith SR. Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor. J Clin Invest. 2005 Jul;115(7):1934-41. doi: 10.1172/JCI24332.

    PMID: 16007256BACKGROUND
  • Aagaard-Tillery KM, Grove K, Bishop J, Ke X, Fu Q, McKnight R, Lane RH. Developmental origins of disease and determinants of chromatin structure: maternal diet modifies the primate fetal epigenome. J Mol Endocrinol. 2008 Aug;41(2):91-102. doi: 10.1677/JME-08-0025. Epub 2008 May 30.

    PMID: 18515302BACKGROUND
  • Cox J, Williams S, Grove K, Lane RH, Aagaard-Tillery KM. A maternal high-fat diet is accompanied by alterations in the fetal primate metabolome. Am J Obstet Gynecol. 2009 Sep;201(3):281.e1-9. doi: 10.1016/j.ajog.2009.06.041.

    PMID: 19733280BACKGROUND
  • Barker DJ, Gluckman PD, Godfrey KM, Harding JE, Owens JA, Robinson JS. Fetal nutrition and cardiovascular disease in adult life. Lancet. 1993 Apr 10;341(8850):938-41. doi: 10.1016/0140-6736(93)91224-a.

    PMID: 8096277BACKGROUND
  • Barker DJ, Hales CN, Fall CH, Osmond C, Phipps K, Clark PM. Type 2 (non-insulin-dependent) diabetes mellitus, hypertension and hyperlipidaemia (syndrome X): relation to reduced fetal growth. Diabetologia. 1993 Jan;36(1):62-7. doi: 10.1007/BF00399095.

    PMID: 8436255BACKGROUND
  • Barres R, Osler ME, Yan J, Rune A, Fritz T, Caidahl K, Krook A, Zierath JR. Non-CpG methylation of the PGC-1alpha promoter through DNMT3B controls mitochondrial density. Cell Metab. 2009 Sep;10(3):189-98. doi: 10.1016/j.cmet.2009.07.011.

    PMID: 19723495BACKGROUND
  • Freda PU, Shen W, Reyes-Vidal CM, Geer EB, Arias-Mendoza F, Gallagher D, Heymsfield SB. Skeletal muscle mass in acromegaly assessed by magnetic resonance imaging and dual-photon x-ray absorptiometry. J Clin Endocrinol Metab. 2009 Aug;94(8):2880-6. doi: 10.1210/jc.2009-0026. Epub 2009 Jun 2.

    PMID: 19491226BACKGROUND
  • Welch S, Gebhart SS, Bergman RN, Phillips LS. Minimal model analysis of intravenous glucose tolerance test-derived insulin sensitivity in diabetic subjects. J Clin Endocrinol Metab. 1990 Dec;71(6):1508-18. doi: 10.1210/jcem-71-6-1508.

    PMID: 2229309BACKGROUND
  • Bergman RN, Ider YZ, Bowden CR, Cobelli C. Quantitative estimation of insulin sensitivity. Am J Physiol. 1979 Jun;236(6):E667-77. doi: 10.1152/ajpendo.1979.236.6.E667.

    PMID: 443421BACKGROUND
  • Elia M, Livesey G. Energy expenditure and fuel selection in biological systems: the theory and practice of calculations based on indirect calorimetry and tracer methods. World Rev Nutr Diet. 1992;70:68-131. doi: 10.1159/000421672. No abstract available.

    PMID: 1292242BACKGROUND
  • Brody DL, Magnoni S, Schwetye KE, Spinner ML, Esparza TJ, Stocchetti N, Zipfel GJ, Holtzman DM. Amyloid-beta dynamics correlate with neurological status in the injured human brain. Science. 2008 Aug 29;321(5893):1221-4. doi: 10.1126/science.1161591.

    PMID: 18755980BACKGROUND
  • Smith, S.R., Martin, C., Katzmarzyk, P. & Church, T. Obesity and Diabetes: Implications for Management. in 2009 Educational Review Manual in Endocrinology FOCUS: Diabetes (ed. Kendall, D.M.) (Castle Connolly Graduate Medical Publishing, New York, NY 2009).

    BACKGROUND
  • Divoux A, Eroshkin A, Erdos E, Sandor K, Osborne TF, Smith SR. DNA Methylation as a Marker of Body Shape in Premenopausal Women. Front Genet. 2021 Jul 29;12:709342. doi: 10.3389/fgene.2021.709342. eCollection 2021.

  • Pachori AS, Madan M, Nunez Lopez YO, Yi F, Meyer C, Seyhan AA. Reduced skeletal muscle secreted frizzled-related protein 3 is associated with inflammation and insulin resistance. Obesity (Silver Spring). 2017 Apr;25(4):697-703. doi: 10.1002/oby.21787. Epub 2017 Feb 27.

Related Links

Biospecimen

Retention: SAMPLES WITH DNA

Blood Urine Fat tissue Muscle Tissue

MeSH Terms

Conditions

Diabetes Mellitus, Type 2

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Study Officials

  • Steven R Smith, MD

    Translational Research Institute for Metabolism and Diabetes

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 16, 2014

First Posted

August 27, 2014

Study Start

November 1, 2010

Primary Completion

June 1, 2014

Study Completion

June 1, 2014

Last Updated

February 22, 2018

Record last verified: 2018-02

Locations