Towards Simple and Non-invasive Assessment of Residual Beta-cell Function in Type 1 Diabetes

January 6, 2016 updated by: Dr. Danijela Tatovic, University Hospitals Bristol and Weston NHS Foundation Trust

Type 1 diabetes is condition in which progressive autoimmune destruction of insulin-producing beta-cells leads to absolute insulin deficiency. At the time of clinical presentation, it is estimated that 50-80% of beta-cell function has been lost. Good glycaemic control from diagnosis has been shown to preserve beta-cell function. The recent identification of immuno-interventions able to reduce autoimmune destruction and preserve beta-cell function has lead to an increased urgency to develop such tools.

With mixed-meal stimulated serum C-peptide being a gold standard, there are currently no tests that are suited for use in clinical practice to detect and monitor residual beta cell function. There is a therefore a need for a test that is sufficiently sensitive to assess beta cell function reserve in Type 1 diabetes for clinical practice purposes, which will be simple, reproducible and suitable for use even in the non-observed setting.

Using mixed meal stimulation of plasma C-peptide (stable by-product in insulin secretion that reliably reflects insulin production) response as a reference, we propose to compare mixed meal stimulated urinary C-peptide as potential candidate for this application. This is a pilot investigation in which a sample of 30 participants will be recruited.

It is anticipated that the current project will identify a simple method for analysing beta cell reserve in Type 1 diabetes. This will then be applied to screening clinic populations of recently diagnosed patients with type 1 diabetes. The aim will be to identify subjects who may be suitable for early intensified insulin regimes (e.g. insulin pump therapy) and novel immuno-intervention strategies designed to preserve residual beta cell function and improve long-term outcomes. Currently such immunointervention has been reserved for subjects within 3 months of diagnosis only, excluding a significant number of subjects who may potentially benefit.

Study Overview

Study Type

Observational

Enrollment (Actual)

17

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Avon
      • Bristol, Avon, United Kingdom, BS1 8HW
        • Joint Clinical Research Unit, UHBristol NHS Foundation Trust

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

18 years to 45 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Subjects with Type 1 diabetes diagnosed in the last 5 years

Description

Inclusion Criteria:1. 1. Type 1 diabetes diagnosed in the last 5 years 2. Age 18-45 years 3. BMI between 18.5 and 29.9 4. Insulin requirement less than 0.8 units/kg

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Exclusion Criteria:

1. HbA1c higher than 10% 2. Ongoing steroid treatment or chemotherapy 3. Pregnancy and breast feeding 4. eGFR less than 50ml/min/1.73m2

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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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Stimulated urinary C peptide
Study will be designed to assess stimulated urinary C-peptide in comparison to mixed-meal stimulated plasma C-peptide response in the same individual in 30 number of patients with Type 1 diabetes.
Study will be designed to assess stimulated urinary C-peptide in comparison to mixed-meal stimulated plasma C-peptide response in the same individual in 30 number of patients with Type 1 diabetes.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Assessment of whether two-hour urinary C-peptide response to mixed-meal (measured as area under the curve on the graph) can be used assess residual beta-cell function in the first 5 years after diagnosis of Type 1 diabetes.
Time Frame: One year
One year

Secondary Outcome Measures

Outcome Measure
Time Frame
To compare fasting urinary C-peptide to plasma C-peptide response to mixed-meal
Time Frame: One year
One year
To compare urinary C-peptide response to mixed meal in each hour post stimulation to plasma C-peptide response to mixed-meal
Time Frame: One year
One year
To compare total four-hour urinary C-peptide (area under the curve) response to mixed meal to plasma C-peptide response to mixed-meal
Time Frame: One year
One year
To assess whether urinary C-peptide response to mixed-meal is reproducible in non-observed setting.
Time Frame: One year
One year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

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

April 1, 2011

Primary Completion (Actual)

June 1, 2013

Study Completion (Actual)

June 1, 2013

Study Registration Dates

First Submitted

October 22, 2010

First Submitted That Met QC Criteria

October 22, 2010

First Posted (Estimate)

October 25, 2010

Study Record Updates

Last Update Posted (Estimate)

January 7, 2016

Last Update Submitted That Met QC Criteria

January 6, 2016

Last Verified

January 1, 2016

More Information

Terms related to this study

Other Study ID Numbers

  • ME/2010/3452
  • 10/H0505/87 (Other Identifier: Berkshire REC)

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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