Validation of Biomarkers of Diabetic Nephropathy in Type I Diabetic Children (peeDIAB2)

September 21, 2020 updated by: University Hospital, Toulouse

Identification and First Validation of Early Non-invasive Biomarkers of Diabetic Nephropathy in Type I Diabetic Children

About 30 to 40% of patients suffering from type I diabetes are at risk of developing a diabetic nephropathy (DN) leading more or less rapidly to an end-stage renal disease. Nowadays, the microalbuminuria is the most often used clinical parameter for possible onset of DN. However, it is a late (because it permits to detect a renal disease already present), non-specific and low sensitive biomarker.

Therefore the main objective of this study is to identify early urinary biomarkers predictive of DN in children with type I diabetes, before the appearance of a microalbuminuria.

Study Overview

Detailed Description

Once the type I diabetes is diagnosed, the speed of progression to a DN is very variable. Thus, the discovery of biomarkers able to distinguish progressor patients from non-progressor since the appearance of a microalbuminuria, is crucial in order to take care of progressor patients the earlier and to slow down the disease progression.

The investigators have shown that urine is a biological sample extremely well suited for proteome analysis with the aim to identify biomarkers of renal damages. Indeed, they were the first to analyze the urinary proteome of infant using capillary electrophoresis-coupled mass spectrometry. This technic permits to analyse the entire urinary proteome of a person in one hour.

Several laboratories tried to identify other predictive urinary biomarkers of the development of a DN in diabetic patients, but with limited success and nowadays in the clinical practice they still use the measure of the microalbuminuria. Contrary to precedent studies, the investigators develop an analysis without a priori and starting with early samples (without any signs of DN) associating the urinary peptide profile with the DN progression over 9-10 years.

This is a nested case-control study in a cohort of 317 patients constituting the urinary biological collection. (The urinary samples of a type I diabetic cohort of 317 patients seen between 2004 and 2008 have been collected.) These patients will be contacted at the end of 2012 to obtain a number of participation of 180 patients authorizing the use aposteriori of their urinary samples. Among this cohort, the investigators evaluate at 90 the number of patients with a DN defined by a dosage of microalbuminuria higher than 100 mg/L.

The primary endpoint of this study is therefore the identification of urinary biomarkers predictive of DN in type I diabetes pediatric patients.

The secondary endpoints are :

  • The estimation of sensibility and specificity parameters, and the Area Under the Curve (AUC).
  • The identification of factors associated with the variability of biomarkers expression such as the age at the moment of the diagnosis, the time between the diagnosis and the urinary collection, the rate of microalbuminuria, and the type of insulin used by the patient.
  • And in the subgroup of patients for whom two urinary samples have been collected, the investigators want to study the urinary proteome stability in patients with no DN in 2013.

Study Type

Observational

Enrollment (Actual)

150

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

      • Toulouse, France, 31059
        • Purpan Children Hospital
      • Toulouse, France, 31059
        • Rangueil hospital

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

6 years to 30 years (Child, Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients are selected in a cohort of 317 type I diabetic children constituting a urine samples collection. Indeed, urine sample of 317 patients have been collected between 2004 and 2008. These patients will be called to obtain the participation of 180 children in this study.

Description

Inclusion Criteria:

  • Patient with a type I diabetes diagnosed before 15 years-old
  • Urinary collection done 5 years after the diagnosis
  • Urinary collection done without any acute intermittent pathology
  • Urinary collection done without any treatment (other than diabetes treatment)
  • Glomerular filtration rate ≥ 60 mL/min at the moment of the urinary collection already done
  • Informed consent obtained aposteriori for the analysis of the urinary samples collected between 2004 and 2008, and consent obtained for the analysis of urinary sample collected in 2013

Exclusion Criteria:

  • Patients suffering from an autoimmune disease associated with the diabetes (vitiligo, Grave's disease, thyroiditis, pernicious anemia or Biermer's disease)
  • Patient with a renal disease (other than diabetic nephropathy) at the first urinary collection (between 2004 and 2008)
  • Pregnancy, because the urinary proteome and the microalbumin dosage can be modified during a pregnancy.
  • Patient refusal to use urinary samples already collected

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
Progressor (ND)
Group of patients with an albuminuria > 100mg/L, by Urinary sample collection
urinary sample collection will be done at the inclusion visit for the assessment of the microalbuminuria ( < or > than 100mg/L)
Non-Progressor (non-ND)
Group of patients without an albuminuria > 100mg/L, by Urinary sample collection
urinary sample collection will be done at the inclusion visit for the assessment of the microalbuminuria ( < or > than 100mg/L)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Identify predictive non-invasive urinary biomarkers
Time Frame: Baseline (Inclusion day)
Urinary samples collection Assessment of the microalbuminuria to diagnose the diabetic nephropathy (DN)
Baseline (Inclusion day)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Relation of urinary markers with patient characteristics
Time Frame: Baseline (Inclusion day)
Patients characteristics : age of the patients at the diabetes diagnosis, their age at the urinary collection, their sex, the time between the diagnosis and the urinary collection, the type of insulin used.
Baseline (Inclusion day)

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Stephane DECRAMER, PhD, Toulouse University Hospital

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

June 1, 2013

Primary Completion (Actual)

May 25, 2016

Study Completion (Actual)

May 25, 2016

Study Registration Dates

First Submitted

June 6, 2014

First Submitted That Met QC Criteria

June 12, 2014

First Posted (Estimate)

June 16, 2014

Study Record Updates

Last Update Posted (Actual)

September 23, 2020

Last Update Submitted That Met QC Criteria

September 21, 2020

Last Verified

September 1, 2020

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

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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