- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01503112
Predicting Response to Incretin Based Agents in Type 2 Diabetes (PRIBA)
Does Urinary C-peptide Creatinine Ratio Predict Response to Incretin Based Agents in Type 2 Diabetes
Type 2 diabetes is a major and rapidly increasing health problem worldwide. Keeping the blood glucose (sugar) from going too high helps prevent complications. Recently a number of new treatments (collectively called 'incretin based' treatments) to lower blood glucose have become available but response is very variable and it is difficult to predict which will work for an individual. The investigators want to see if we can identify whether the new treatments are likely to be effective for an individual patient. Identifying the right treatment would improve control and minimise the side-effects and costs from ineffective treatments. We will collect blood (for measures of blood glucose, insulin secretion and genetics information), urine (for a simple measurement of insulin secretion) and other clinical information (such as weight,age, duration of diabetes and medication) in people who are about to start these new 'incretin based' treatments and assess their response over the first 6 months of treatment. We will analyse this information to see if we can predict treatment response.
Study Hypothesis:
The investigators hypothesise that those who have low insulin secretion, as measured by post meal urine C-peptide Creatinine Ratio or blood C-peptide, will have poor blood glucose response to incretin based treatments.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Bournmouth, United Kingdom, BH7 7DW
- The Royal Bournmouth and Christchurch Hospitals NHS Trust
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Bristol, United Kingdom, BS10 5NB
- North Bristol NHS Trust
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Ipswich, United Kingdom, IP4 5PD
- Ipswich Hospital NHS Trust
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Northampton, United Kingdom, NN15BD
- Northampton General Hospital NHS Trust
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Oxford, United Kingdom, OX3 9DU
- Oxford Radcliffe Hospitals NHS Trust
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Portsmouth, United Kingdom, PO6 3LY
- Portsmouth Hospitals NHS Trust
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Redhill, United Kingdom, RH1 5RH
- Surrey and Sussex Healthcare NHS Trust
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St Leonards-on-Sea, United Kingdom, TN37 7RD
- East Sussex Healthcare NHS Trust
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Stoke on Trent, United Kingdom, ST4 7LN
- University Hospitls North Staffordshire NHS Trust
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Warwick, United Kingdom, CV34 5BW
- South Warwickshire NHS Foundation Trust
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Watford, United Kingdom, WD18 0HB
- West Hertfordshire Hospitals NHS Trust
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Cornwall
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Truro, Cornwall, United Kingdom, TR13HD
- Cornwall and Isles of Scilly NHS Primary Care Trust
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Devon
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Barnstaple, Devon, United Kingdom, EX314JB
- North Devon NHS Trust
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Exeter, Devon, United Kingdom, EX25DW
- Royal Devon and Exeter NHS Foundation Trust
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Plymouth, Devon, United Kingdom, PL68DH
- Plymouth Hospitals NHS Trust
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Torbay, Devon, United Kingdom, TQ27AA
- South Devon Healthcare NHS Foundation Trust
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Somerset
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Taunton, Somerset, United Kingdom, BA228HR
- Taunton and Somerset NHS Foundation Trust.
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Yeovil, Somerset, United Kingdom, BA21 4AT
- Yeovil Disctrict Hospital NHS Foundation Trust
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- A clinical diagnosis of type 2 diabetes mellitus where the patient's clinician has determined the need for a DPP-IV inhibitor or GLP-1 analogue as a result of inadequate glycaemic control
- HbA1c >= 58mmol/mol
Exclusion Criteria:
- Treatment with DPP-IV inhibitors or GLP-1 analogues prior to study initiation (within the previous 3 months)
- Renal failure as shown by a eGFR (estimated glomerular filtration rate) less than 30 mL/min/1.73m2
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Patients starting incretin treatments
Patients starting GLP-1 agonists or DPPIV inhibitors as part of their normal clinical care.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Glycaemic response (HbA1c change post treatment)
Time Frame: 6 months
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Change in HbA1c over 6 months treatment (as a continuous variable and/or defined as binary response/non response).
Our Primary analysis will be the relationship between insulin secretion (as measured by blood C-peptide or UCPCR) and glycaemic response.
Secondary analysis will include examination of relationship between baseline weight, HbA1c, age, duration of diabetes, HOMA B, HOMA IR, autoantibody (GAD, IA2) status and glycaemic response.
We will also examine the relationship between glycaemic response and polymorphisms in GLP-1R, TCF7L2, WFS1 and FOX01 genes.
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6 months
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Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Weight change over 6 months treatment
Time Frame: 6 months
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6 months
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Collaborators and Investigators
Investigators
- Study Director: Andrew T Hattersley, University of Exeter Medical School/Royal Devon and Exeter Hospital NHS Foundation Trust
- Principal Investigator: Angus Jones, University of Exeter Medical School/Royal Devon and Exeter Hospital NHS Foundation Trust
Publications and helpful links
General Publications
- Jones AG, McDonald TJ, Shields BM, Hill AV, Hyde CJ, Knight BA, Hattersley AT; PRIBA Study Group. Markers of beta-Cell Failure Predict Poor Glycemic Response to GLP-1 Receptor Agonist Therapy in Type 2 Diabetes. Diabetes Care. 2016 Feb;39(2):250-7. doi: 10.2337/dc15-0258. Epub 2015 Aug 4.
- Dennis JM, Shields BM, Hill AV, Knight BA, McDonald TJ, Rodgers LR, Weedon MN, Henley WE, Sattar N, Holman RR, Pearson ER, Hattersley AT, Jones AG; MASTERMIND Consortium. Precision Medicine in Type 2 Diabetes: Clinical Markers of Insulin Resistance Are Associated With Altered Short- and Long-term Glycemic Response to DPP-4 Inhibitor Therapy. Diabetes Care. 2018 Apr;41(4):705-712. doi: 10.2337/dc17-1827. Epub 2018 Jan 31.
- Jones AG, Shields BM, Hyde CJ, Henley WE, Hattersley AT. Identifying good responders to glucose lowering therapy in type 2 diabetes: implications for stratified medicine. PLoS One. 2014 Oct 23;9(10):e111235. doi: 10.1371/journal.pone.0111235. eCollection 2014.
Helpful Links
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 11233581
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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