Alpha -1- Microglobulin (α1M) as an Early Biomarker in Renal Extrahepatic Manifestations of HCV-infection

May 3, 2022 updated by: Ghada Safwat, Assiut University
find the role of alpha one microglobulin (as an early renal tubular biomarker) to identify and evaluate the prevalence of early renal manifestations among patients with chronic HCV and compared these patients with HCV-negative healthy individuals

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

Hepatitis C [HCV] infection is known to cause renal manifestations, which are discovered at a late stage when chronic kidney disease (CKD) has already occurred .

HCV is both a consequence and cause of renal impairment: first, dialysis patients have an increased risk of infection related to medical procedures and, second, HCV causes pathological changes to the kidneys .

HCV seems to influence both renal tubular and glomerular cells as described by different proteinuria profiles and hematuria findings. Tubular cell damage may be the earliest sign of renal dysfunction caused by HCV and could potentially be used to identify patients with risk for progression. Routine urine analysis could be used to identify high risk HCV patients for early treatment.

Identifying patients early is of paramount importance in order to offer a prompt intervention and to improve the prognosis in both settings, for this purposes, novel biomarkers could be used One promising biomarker is alpha-1-microglobulin (α1m), a low molecular weight glycosylated protein of molecular weight synthesized by hepatocytes, freely filtered across the glomerulus, and then reabsorbed by the proximal tubule . it can signal proximal tubule dysfunction: higher Uα1m concentrations indicate impaired tubular reabsorption . Small studies have previously shown that Uα1m concentrations increase in Acute kidney injury (AKI), reflect severity of AKI, and are associated with the need for dialysis after nonoliguric AKI . Elevated Uα1m correlates with interstitial fibrosis and tubular atrophy on kidney biopsy, representing chronic kidney damage . Furthermore, Uα1m appears to predict kidney function decline and CKD progression , Acute kidney injury risk and also associated with early tubulointerstitial renal diseases in HCV-glomerulopathy .

Study Type

Observational

Enrollment (Anticipated)

170

Contacts and Locations

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

Study Contact

Study Contact Backup

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

14 years to 61 years (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

170 participants in 1:1 design (79 HCV positive patient were diagnosed as HCV positive by HCV+Abs and +ve real time PCR for HCV-RNA and 79 age and sex matched HCV negative as control, and fulfill the following inclusions criteria

Description

Inclusion Criteria:

Hepatitis C virus (HCV )-positive patients: HCV Antibody and status confirmed by HCV-RNA positive who are either treatment naïve or previously treated.

3. HCV-negative control at outpatients.

Exclusion Criteria:

- 1. HIV-positive patients or Hepatitis B positive (HbsAg) patients or both. 2. Previous renal diseases. 3. Diabetes mellitus, Hypertension, Systemic Lupus erythematosus, Rheumatoid arthritis.

4. patients with Active malignancy. 5. Alcoholics.

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: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
case with hcv
control without hcv

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
to identify and evaluate the prevalence of early renal manifestations among patients with chronic HCV by using alpha one microglobulin (as an early renal tubular biomarker).
Time Frame: marsh 2022 - February 2024
to identify and evaluate the prevalence of early renal manifestations among patients with chronic HCV by using alpha one microglobulin (as an early renal tubular biomarker).
marsh 2022 - February 2024

Collaborators and Investigators

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

Investigators

  • Study Director: Enas Alkareemy, Assiut 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.

General Publications

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 (Anticipated)

July 15, 2022

Primary Completion (Anticipated)

March 1, 2024

Study Completion (Anticipated)

March 1, 2024

Study Registration Dates

First Submitted

March 3, 2022

First Submitted That Met QC Criteria

March 3, 2022

First Posted (Actual)

March 11, 2022

Study Record Updates

Last Update Posted (Actual)

May 4, 2022

Last Update Submitted That Met QC Criteria

May 3, 2022

Last Verified

May 1, 2022

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

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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