Skip to content

Predicting Response to Incretin Based Agents in Type 2 Diabetes

Does Urinary C-peptide Creatinine Ratio Predict Response to Incretin Based Agents in Type 2 Diabetes

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01503112
Acronym
PRIBA
Enrollment
957
Registered
2012-01-02
Start date
2011-05-31
Completion date
2014-04-30
Last updated
2018-04-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type2 Diabetes

Keywords

Glucagon-Like Peptide 1, DPP4 protein, Therapeutics, Hypoglycemic Agents, C-Peptide, Type 2 Diabetes Mellitus,

Brief summary

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.

Interventions

Sponsors

National Institute for Health Research, United Kingdom
CollaboratorOTHER_GOV
University of Exeter
CollaboratorOTHER
Royal Devon and Exeter NHS Foundation Trust
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Glycaemic response (HbA1c change post treatment)6 monthsChange 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.

Secondary

MeasureTime frame
Weight change over 6 months treatment6 months

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026