Assessment of Urinary Uromodulin and the Corresponding Gene Expression as a Biomarker of Diabetic Nephropathy

December 19, 2023 updated by: Shaimaa Ibrahim Barr, Tanta University

Determination of Uromodulin as a Potential Biomarker of Diabetic Kidney Disease

Detecting diabetes-related kidney diseases early is crucial to prevent end-stage renal disease (ESRD). Existing biomarkers' specificity and sensitivity vary, emphasizing the need for novel markers. This research assesses urinary uromodulin levels and its gene expression, aiming to identify a potential marker for early diabetic nephropathy (DN) detection in type 2 diabetes patients. Uromodulin, encoded by the UMOD gene, is expressed mainly in the thick ascending limb of Henle's loop epithelial cells, making it a promising candidate for early DN detection and progression towards ESRD, potentially reducing chronic kidney disease prevalence.

Study Overview

Detailed Description

Introduction:

Diabetes mellitus (DM) is a metabolic disorder characterized by elevated blood glucose levels resulting from deficiencies in insulin secretion, insulin action, or both. Prolonged hyperglycemia associated with diabetes can lead to lasting damage and dysfunction in various organs, including the eyes, kidneys, nerves, heart, and blood vessels (American Diabetes Association, 2008).

Among the complications of diabetes, diabetic nephropathy (DN) stands out as a significant contributor to chronic kidney disease (CKD) (Macisaac et al., 2014). Pathophysiologically, DN progresses from an early phase featuring glomerular hypertrophy, hyperfiltration, and microalbuminuria to an advanced phase marked by progressive glomerulosclerosis, increased urinary albumin excretion (UAE), and impaired renal function (Schrijvers et al., 2004).

Traditionally, DN severity is assessed by measuring urine albumin levels, with persistent microalbuminuria (30-300 mg/24 hr) or macroalbuminuria (>300 mg/24 hr) serving as markers and predictors of DN and its progression to end-stage renal disease (Adler et al., 2003).

Current practices in biomarker use for DN diagnosis show conflicting results regarding sensitivity and specificity in recent studies. Therefore, it is imperative to identify novel biomarkers for early DN detection and progression to reduce the prevalence of chronic kidney diseases in the population (Carole et al., 2017).

Uromodulin, also known as Tamm-Horsfall protein, is an 85 kDa glycoprotein normally secreted by epithelial cells lining the thick ascending limb (TAL) of Henle's loop and early distal tubule. It is released through proteolytic cleavage of glycosylphosphatidylinositol (GPI)-anchored protein, primarily localized to the apical plasma membrane. Uromodulin levels undergo significant changes in urinary excretion during pathological conditions, making it a valuable marker for renal disease

Study Type

Observational

Enrollment (Actual)

100

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

    • Al Gharbia
      • Tanta, Al Gharbia, Egypt, 31515
        • Tanta university hospital, faculty of science, tanta university

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

40 years to 65 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Sampling Method

Probability Sample

Study Population

Patients were selected from those admitted to the Internal Medicine Department and outpatients of Tanta University Hospital

Description

Inclusion Criteria:

  • Type 2 diabetic patients with not no album in ur is, micoalbuminuria and macroalbuminuria

Exclusion Criteria:prescence of non diabetic or obstructive kidney disease,

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
diabetic patients with normoalbuminuria
Consisted of 25 type 2 diabetic patients with normoalbuminuria (levels <30 mg/g creatinine)
Use the ACR to divide diabetic patients to 3groups not normoalbuminuria, microalbuminuria, macroalbuminuria to evaluate the urinary uromodulin level and its exosomal umod mRNA as a potential biomarker of Diabetic nephropathy diagnosis
diabetic patients with microalbuminuria
Consisted of 25 type 2 diabetic patients with microalbuminuria (between 30-300 mg/g creatinine).
Use the ACR to divide diabetic patients to 3groups not normoalbuminuria, microalbuminuria, macroalbuminuria to evaluate the urinary uromodulin level and its exosomal umod mRNA as a potential biomarker of Diabetic nephropathy diagnosis
diabetic patients with macrolbuminuria
Consisted of 25 type 2 diabetic patients with macroalbuminuria (levels >300 mg/g creatinine)
Use the ACR to divide diabetic patients to 3groups not normoalbuminuria, microalbuminuria, macroalbuminuria to evaluate the urinary uromodulin level and its exosomal umod mRNA as a potential biomarker of Diabetic nephropathy diagnosis
Controlgroup
25 healthy volunteer as a control
Use the ACR to divide diabetic patients to 3groups not normoalbuminuria, microalbuminuria, macroalbuminuria to evaluate the urinary uromodulin level and its exosomal umod mRNA as a potential biomarker of Diabetic nephropathy diagnosis

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Determination the level of urinary uromodulin as a potential biomarker for early prediction of DN
Time Frame: June, 2022
Evaluate the level of urinary uromodulin in the 3 diabetic group comparing with each other and compare them to the control group and correlate these results with other kidney biomarker
June, 2022
Determine the urinary exosomal UMODmRNA gene expression
Time Frame: June, 2022
Isolation of urinary exosomes and extraction the UMOD mRNA from these exosoms and determine the fold change of the exosomal UMOD mRNA between the diabetic groups and control group and correlate it with the urinary uromodulin level and other kidney biomarker
June, 2022

Collaborators and Investigators

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

Collaborators

Investigators

  • Study Director: Tarek M mohamed, prof, Faculty of science, tanta university
  • Study Director: Eman M Abd elAzeem, prof, faculty of science, Ain shams University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Helpful Links

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 (Actual)

July 5, 2019

Primary Completion (Actual)

April 28, 2022

Study Completion (Actual)

June 1, 2022

Study Registration Dates

First Submitted

January 13, 2023

First Submitted That Met QC Criteria

January 23, 2023

First Posted (Actual)

January 25, 2023

Study Record Updates

Last Update Posted (Actual)

December 22, 2023

Last Update Submitted That Met QC Criteria

December 19, 2023

Last Verified

December 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

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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