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
1 other identifier
observational
2,300
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2016
Longer than P75 for all trials
1 active site
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
March 1, 2016
CompletedFirst Submitted
Initial submission to the registry
June 21, 2016
CompletedFirst Posted
Study publicly available on registry
July 20, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2021
CompletedJuly 22, 2016
July 1, 2016
5.5 years
June 21, 2016
July 21, 2016
Conditions
Outcome Measures
Primary Outcomes (2)
Changes in beta-cell function in Asian populations with normal glucose tolerance and prediabetes over 3 years.
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.
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 Outcomes (1)
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.
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
Study Arms (2)
APT-2D (Normoglycemic)
800 Normoglycemic
APT-2D (Pre-Diabetic)
1,500 Pre-Diabetic
Interventions
Not applicable. This is an observational study.
Eligibility Criteria
Normoglycemic: 800 Pre-diabetics: 1,500
You may qualify if:
- 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
You may not qualify if:
- 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%
- +4 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Medicinelead
- Janssen Pharmaceuticalscollaborator
- National Medical Research Council (NMRC), Singaporecollaborator
Study Sites (1)
National University Hospital
Singapore, 119074, Singapore
Related Publications (20)
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.
PMID: 15220254BACKGROUNDBergman 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.
PMID: 7033284BACKGROUNDKahn 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.
PMID: 8405710BACKGROUNDChen 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.
PMID: 932179BACKGROUNDDalla 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.
PMID: 16249454BACKGROUNDWild 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.
PMID: 15111519BACKGROUNDTan 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.
PMID: 10333940BACKGROUNDJin 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.
PMID: 19076063BACKGROUNDLevy 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.
PMID: 9585393BACKGROUNDBagust 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.
PMID: 12651972BACKGROUNDTurner 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.
PMID: 9357409BACKGROUNDMatthews 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.
PMID: 9585394BACKGROUNDDonnan 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.
PMID: 11942998BACKGROUNDRingborg 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.
PMID: 20347376BACKGROUNDCook 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.
PMID: 15855556BACKGROUNDZhou 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.
PMID: 24186880BACKGROUNDKola 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.
PMID: 15286737BACKGROUNDRiese 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.
PMID: 2153255BACKGROUNDPaul 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.
PMID: 20168317BACKGROUNDTsai MH, Goh CE, Lee MH, Seah F, Lim M, Febriana E, Fu J, Yip JK, Preshaw P, Toh SES. Associations between perceived stress and glycemic measures: gender and age as moderators. BMJ Open Diabetes Res Care. 2025 Nov 4;13(6):e005368. doi: 10.1136/bmjdrc-2025-005368.
PMID: 41192939DERIVED
Biospecimen
Storage of plasma and serum
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Sue-Anne Toh, MBBChir, MSc, MA
mdcsates@nus.edu.sg
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Assistant Professor Sue-Anne Toh Ee Shiow
Study Record Dates
First Submitted
June 21, 2016
First Posted
July 20, 2016
Study Start
March 1, 2016
Primary Completion
September 1, 2021
Study Completion
December 1, 2021
Last Updated
July 22, 2016
Record last verified: 2016-07
Data Sharing
- IPD Sharing
- Will share