- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02838693
Assessing Progression to Type-2 Diabetes (APT-2D): A Prospective Cohort Study Expanded From BRITE-SPOT (Bio-bank and Registry for StratIfication and Targeted intErventions in the Spectrum Of Type 2 Diabetes) (APT-2D)
July 21, 2016 updated by: Medicine
The Bio-bank and Registry for StratIfication and Targeted intErventions in the Spectrum Of Type 2 Diabetes (BRITE-SPOT) has been set up to prospectively collect clinical data and biologically relevant samples from individuals with, and at risk for type 2 diabetes (T2D), with the aim of delineating factors related to susceptibility, progression, complications and response to treatment.
Expanded from BRITE-SPOT, Assessing the Progression to Type - 2 Diabetes (APT-2D) is a prospective cohort with a focus on non-diabetics (normoglycemic or prediabetic), to expand the sample size and depth of metabolic phenotyping in these upstream groups, with the more targeted aim of delineating factors related to insulin sensitivity versus secretion, that relate to progression to T2D.
Study Overview
Status
Unknown
Conditions
Intervention / Treatment
Detailed Description
This is a prospective open cohort study.
The study will comprise the following periods:
Screening
• Complete screening checklist and informed consent form
Procedures.
Following the screening visit, subjects are required to return to undergo the following:
- Oral Glucose Tolerance Test (OGTT) to assess glucose tolerance and beta cell function
- Frequently-Sampled Intravenous Glucose Tolerance test (FSIVGTT) to assess acute insulin response to glucose
- Euglycemic Hyperinsulinemic Clamp (EHC) to obtain the insulin sensitivity index and assess insulin action
- The Disposition index (DI) that quantifies the relationship between insulin sensitivity and insulin secretion, will be determined through the results obtained during FSIVGTT and EHC to determine subject's risk for Type 2 diabetes.
- OGTT will be repeated every 6 months to assess for conversion to Type 2 Diabetes. Plasma C-peptide, and glucose will be measured at 7 time points during the OGTT for minimal model assessment of beta cell function
- FSIVGTT and EHC will be repeated within 3 months of conversion to Type 2 Diabetes, or at 3 years from recruitment, whichever comes sooner.
Normoglycemic Subjects: 800 Pre-Diabetic Subjects: 1500
Study Type
Observational
Enrollment (Anticipated)
2300
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Sue-Anne Toh, MBBChir, MSc, MA
- Phone Number: +65 67722195
- Email: mdcsates@nus.edu.sg
Study Locations
-
-
-
Singapore, Singapore, 119074
- Recruiting
- National University Hospital
-
Contact:
- Sue-Anne Toh, MBBChir, MSc, MA
- Phone Number: +65 67722195
- Email: mdcsates@nus.edu.sg
-
Principal Investigator:
- Sue-Anne Toh, MBBChir, MSc, MA
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
30 years to 65 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Normoglycemic: 800 Pre-diabetics: 1,500
Description
Inclusion Criteria:
- Ability to give informed consent
- At least 30 years old, and not older than 65 years
- Overtly healthy males or females, as determined by medical history, physical examination and laboratory results
- Not on any regular medications. Subjects using traditional medicine concomitantly will also be excluded in this study
Exclusion Criteria:
- History or presence of current cardiovascular, respiratory, hepatic, renal, gastrointestinal, endocrine, hematological, malignancy or neurological disorders capable of significantly altering the performance of the biomarker panel; or of interfering with the interpretation of data
- Known or ongoing psychiatric disorders within 3 years
- Regularly use known drugs of abuse within 3 years
- Women who are pregnant or lactating
- Have donated blood of more than 500 mL within 4 weeks of study enrollment.
- Have an average weekly alcohol intake that exceeds 21 units per week (males) and 14 units per week (females) (1 unit = 12 oz or 360 mL of beer; 5 oz or 150 mL of wine; 1.5 oz or 45 mL of distilled spirits)
- Uncontrolled hypertension (blood pressure [BP] >160/100mmHg
- Active infection requiring systemic antiviral or antimicrobial therapy that will not be completed prior to Study Day 1
- Treatment with any investigational drug, or biological agent within one (1) month of screening or plans to enter into an investigational drug/ biological agent study during the duration of this study
- Known allergy to insulin
- History of bleeding diathesis or coagulopathy
Any of the following laboratory values at screening:
- LDL > 190mg/dL (>4.9mmol/L)
- TG > 500mg/dL (>5.6mmol/L)
- Hba1C >= 6.5%
- Fasting glucose >=126mg/dL(>=7mmol/L) or 2 hour post-prandial glucose >=200mg/dL (>=11.1mmol/L)
- ALT > 3.0 x upper limit of normal
- Estimated creatinine clearance <60 mL/min
- Have any other conditions, which, in the opinion of the Investigator would make the subject unsuitable for inclusion, or could interfere with the subject participating in or completing the study
- Significant change in weight (+/- 5%) during the past month
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
APT-2D (Normoglycemic)
800 Normoglycemic
|
Not applicable.
This is an observational study.
|
APT-2D (Pre-Diabetic)
1,500 Pre-Diabetic
|
Not applicable.
This is an observational study.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Changes in beta-cell function in Asian populations with normal glucose tolerance and prediabetes over 3 years.
Time Frame: Data for each participant will be analysed upon completion all their OGTT visits
|
Glucose & c-peptide laboratory results, from OGTT, will be used to assess glucose tolerance and beta cell function
|
Data for each participant will be analysed upon completion all their OGTT visits
|
Changes in insulin sensitivity in Asian populations with normal glucose tolerance and prediabetes over 3 years. Data will be presented at the end of 5.5years.
Time Frame: Data for each participant will be analysed upon completion of both of the FSIVGTT and EHC visits
|
Disposition index assessed via glucose and insulin results from FSIVGTT and EHC.
|
Data for each participant will be analysed upon completion of both of the FSIVGTT and EHC visits
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
To discover and/or validate biomarkers that predict which subjects will progress from NGT to prediabetes and/or from prediabetes to diabetes. Data will be presented at the end of 5.5years.
Time Frame: All samples collected during the study will be consolidated at the end of 5.5years or upon study completion, whichever that comes first, and analysed in one single batch to ensure consistency of the data
|
Biomarker panel will be conducted through testing of plasma and serum samples.
|
All samples collected during the study will be consolidated at the end of 5.5years or upon study completion, whichever that comes first, and analysed in one single batch to ensure consistency of the data
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Sue-Anne Toh, MBBChir, MSc, MA, mdcsates@nus.edu.sg
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Paul SM, Mytelka DS, Dunwiddie CT, Persinger CC, Munos BH, Lindborg SR, Schacht AL. How to improve R&D productivity: the pharmaceutical industry's grand challenge. Nat Rev Drug Discov. 2010 Mar;9(3):203-14. doi: 10.1038/nrd3078. Epub 2010 Feb 19.
- Tai ES, Goh SY, Lee JJ, Wong MS, Heng D, Hughes K, Chew SK, Cutter J, Chew W, Gu K, Chia KS, Tan CE. Lowering the criterion for impaired fasting glucose: impact on disease prevalence and associated risk of diabetes and ischemic heart disease. Diabetes Care. 2004 Jul;27(7):1728-34. doi: 10.2337/diacare.27.7.1728.
- Bergman RN, Phillips LS, Cobelli C. Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose. J Clin Invest. 1981 Dec;68(6):1456-67. doi: 10.1172/jci110398.
- Kahn SE, Prigeon RL, McCulloch DK, Boyko EJ, Bergman RN, Schwartz MW, Neifing JL, Ward WK, Beard JC, Palmer JP, et al. Quantification of the relationship between insulin sensitivity and beta-cell function in human subjects. Evidence for a hyperbolic function. Diabetes. 1993 Nov;42(11):1663-72. doi: 10.2337/diab.42.11.1663.
- Chen M, Porte D Jr. The effect of rate and dose of glucose infusion on the acute insulin response in man. J Clin Endocrinol Metab. 1976 Jun;42(6):1168-75. doi: 10.1210/jcem-42-6-1168.
- Dalla Man C, Campioni M, Polonsky KS, Basu R, Rizza RA, Toffolo G, Cobelli C. Two-hour seven-sample oral glucose tolerance test and meal protocol: minimal model assessment of beta-cell responsivity and insulin sensitivity in nondiabetic individuals. Diabetes. 2005 Nov;54(11):3265-73. doi: 10.2337/diabetes.54.11.3265.
- Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004 May;27(5):1047-53. doi: 10.2337/diacare.27.5.1047.
- Tan CE, Emmanuel SC, Tan BY, Jacob E. Prevalence of diabetes and ethnic differences in cardiovascular risk factors. The 1992 Singapore National Health Survey. Diabetes Care. 1999 Feb;22(2):241-7. doi: 10.2337/diacare.22.2.241.
- Jin W, Patti ME. Genetic determinants and molecular pathways in the pathogenesis of Type 2 diabetes. Clin Sci (Lond). 2009 Jan;116(2):99-111. doi: 10.1042/CS20080090.
- Levy J, Atkinson AB, Bell PM, McCance DR, Hadden DR. Beta-cell deterioration determines the onset and rate of progression of secondary dietary failure in type 2 diabetes mellitus: the 10-year follow-up of the Belfast Diet Study. Diabet Med. 1998 Apr;15(4):290-6. doi: 10.1002/(SICI)1096-9136(199804)15:43.0.CO;2-M.
- Bagust A, Beale S. Deteriorating beta-cell function in type 2 diabetes: a long-term model. QJM. 2003 Apr;96(4):281-8. doi: 10.1093/qjmed/hcg040.
- Turner R, Stratton I, Horton V, Manley S, Zimmet P, Mackay IR, Shattock M, Bottazzo GF, Holman R. UKPDS 25: autoantibodies to islet-cell cytoplasm and glutamic acid decarboxylase for prediction of insulin requirement in type 2 diabetes. UK Prospective Diabetes Study Group. Lancet. 1997 Nov 1;350(9087):1288-93. doi: 10.1016/s0140-6736(97)03062-6. Erratum In: Lancet 1998 Jan 31;351(9099):376.
- Matthews DR, Cull CA, Stratton IM, Holman RR, Turner RC. UKPDS 26: Sulphonylurea failure in non-insulin-dependent diabetic patients over six years. UK Prospective Diabetes Study (UKPDS) Group. Diabet Med. 1998 Apr;15(4):297-303. doi: 10.1002/(SICI)1096-9136(199804)15:43.0.CO;2-W.
- Donnan PT, MacDonald TM, Morris AD. Adherence to prescribed oral hypoglycaemic medication in a population of patients with Type 2 diabetes: a retrospective cohort study. Diabet Med. 2002 Apr;19(4):279-84. doi: 10.1046/j.1464-5491.2002.00689.x.
- Ringborg A, Lindgren P, Yin DD, Martinell M, Stalhammar J. Time to insulin treatment and factors associated with insulin prescription in Swedish patients with type 2 diabetes. Diabetes Metab. 2010 Jun;36(3):198-203. doi: 10.1016/j.diabet.2009.11.006. Epub 2010 Mar 28.
- Cook MN, Girman CJ, Stein PP, Alexander CM, Holman RR. Glycemic control continues to deteriorate after sulfonylureas are added to metformin among patients with type 2 diabetes. Diabetes Care. 2005 May;28(5):995-1000. doi: 10.2337/diacare.28.5.995.
- Zhou K, Donnelly LA, Morris AD, Franks PW, Jennison C, Palmer CN, Pearson ER. Clinical and genetic determinants of progression of type 2 diabetes: a DIRECT study. Diabetes Care. 2014;37(3):718-724. doi: 10.2337/dc13-1995. Epub 2013 Nov 1.
- Kola I, Landis J. Can the pharmaceutical industry reduce attrition rates? Nat Rev Drug Discov. 2004 Aug;3(8):711-5. doi: 10.1038/nrd1470. No abstract available.
- Riese DJ 2nd, Settleman J, Neary K, DiMaio D. Bovine papillomavirus E2 repressor mutant displays a high-copy-number phenotype and enhanced transforming activity. J Virol. 1990 Feb;64(2):944-9. doi: 10.1128/JVI.64.2.944-949.1990.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start
March 1, 2016
Primary Completion (Anticipated)
September 1, 2021
Study Completion (Anticipated)
December 1, 2021
Study Registration Dates
First Submitted
June 21, 2016
First Submitted That Met QC Criteria
July 17, 2016
First Posted (Estimate)
July 20, 2016
Study Record Updates
Last Update Posted (Estimate)
July 22, 2016
Last Update Submitted That Met QC Criteria
July 21, 2016
Last Verified
July 1, 2016
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 28431754DIA4019
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Yes
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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