Effects of Febuxostat on Adipokines and Kidney Disease in Diabetic Chronic Kidney Disease

August 9, 2016 updated by: Srinvasan Beddhu, University of Utah

Hyperuricemia is emerging as a risk factor for development of diabetes and metabolic syndrome. Recently, it was shown in in-vitro cell culture experiments that hyperuricemia induces redox-dependent signaling and oxidative stress in adipocytes. By targeting levels of uric acid with febuxostat it is hypothesized that the levels of oxidative stress in adipose tissue (obtained by fat biopsy) will decrease.

Primary aims of the study are to determine whether febuxostat therapy in overweight or obese, diabetic patients with stage 3 Chronic Kidney Disease (CKD) and high serum uric acid levels

  1. will affect adipose tissue concentrations of thiobarbituric acid reactive substance (TBARS), a marker of oxidative stress
  2. will affect adipose tissue expression and concentrations of adiponectin; and
  3. will affect urinary concentrations of transforming growth factor (TGF)- B1.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

Hyperuricemia is highly prevalent in the US population and commonly clusters with obesity and metabolic syndrome. It remains controversial whether this reflects an epiphenomenon or connotes a causal role of hyperuricemia in metabolic syndrome. If indeed hyperuricemia plays a causal role in metabolic syndrome, it would be expected that hyperuricemia will impact on the molecular signals that mediate the effects of adiposity on inflammation and insulin resistance.

Adipokines, the protein hormones produced by the adipocytes, serve as the signals for the effects of adipocytes on insulin resistance, dyslipidemia, hypertension, inflammation and atherosclerosis. Adipokines include tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), plasminogen activator inhibitor (PAI-1), leptin, angiotensinogen and adiponectin. In obesity, the production of TNF-α, IL-6, PAI-1, leptin and angiotensinogen increases whereas the production of adiponectin decreases. Increased expression of pro-inflammatory TNF-α and IL-6 and decreased expression of anti-inflammatory adiponectin by adipocytes results in insulin resistance and inflammation.

As oxidative stress in adipose tissue is considered to play a critical role in dysregulation of adipokines production in obesity and that hyperuricemia induces oxidative stress in adipocytes, it is hypothesized that hyperuricemia alters adipose tissue production of adipokines; therefore, febuxostat therapy will decrease hyperuricemia and thereby, have beneficial effects on adipokine production by adipose tissue; the favorable effects on adipokine production by febuxostat therapy will result in decrease in plasma levels of markers of inflammation; and as a result of the above, urinary markers of kidney disease will improve.

Chronic Kidney Disease (CKD) patients with type 2 diabetes will be studies because this population has a high prevalence of hyperuricemia and likely represents a target population which might benefit from reduction of uric acid levels.

This is a placebo-controlled, double-blinded, randomized controlled trial to examine the effects of uric acid lowering with oral febuxostat on adipokines and markers of inflammation.

Study Type

Interventional

Enrollment (Actual)

80

Phase

  • Not Applicable

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

    • Utah
      • Salt Lake City, Utah, United States, 84112
        • University of Utah

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 and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Age > 18 years
  • BMI > 25 kg/m2
  • type 2 diabetes
  • serum uric acid ≥ 5.5 mg/dl in men and ≥ 4.6 mg/dl in women
  • eGFR 30-60 mL/min/1.73m2

Exclusion Criteria:

  • History of gout
  • concurrent use of azathioprine, mercaptopurine, theophylline, allopurinol, thiazolidinediones or warfarin
  • concurrent use of metformin
  • current antibiotic therapy
  • pregnant women
  • prisoners

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

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Febuxostat
80 mg/day of febuxostat for 24 weeks
80 mg/day of febuxostat for 24 weeks
Other Names:
  • Uloric
Placebo Comparator: Placebo
1 placebo tablet per day for 24 weeks
1 placebo tablet per day for 24 weeks

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Thiobarbituric Acid Reactive Substance (TBARS) Concentration in Adipose Tissue From Baseline to 24 Weeks
Time Frame: Baseline and 24 weeks
The percent difference in thiobarbituric acid reactive substance (TBARS) concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Baseline and 24 weeks
Change in Adiponectin Concentration in Adipose Tissue From Baseline to 24 Weeks
Time Frame: Baseline and 24 weeks
The percent difference in adiponectin concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Baseline and 24 weeks
Change in Urinary Concentrations of Transforming Growth Factor-beta1 (TGF-beta1) From Baseline to 24 Weeks
Time Frame: Baseline and 24 weeks
The percent difference in TGF-beta1 concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Baseline and 24 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Tumor Necrosis Factor-α (TNF-α) Concentration in Plasma From Baseline to 24 Weeks
Time Frame: Baseline and 24 weeks
The percent difference in plasma TNF-α concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Baseline and 24 weeks
Change in Interleukin-6 (IL-6) Concentration in Plasma From Baseline to 24 Weeks
Time Frame: Baseline and 24 weeks
The percent difference in plasma IL-6 concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Baseline and 24 weeks
Change in High Sensitivity C-Reactive Protein (hsCRP) Concentration in Plasma From Baseline to 24 Weeks
Time Frame: Baseline and 24 weeks
The percent difference in plasma hsCRP concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Baseline and 24 weeks

Collaborators and Investigators

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

Collaborators

Investigators

  • Principal Investigator: Srinivasan Beddhu, MD, University of Utah

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.

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

May 1, 2011

Primary Completion (Actual)

October 1, 2013

Study Completion (Actual)

December 1, 2013

Study Registration Dates

First Submitted

April 20, 2011

First Submitted That Met QC Criteria

May 6, 2011

First Posted (Estimate)

May 9, 2011

Study Record Updates

Last Update Posted (Estimate)

October 3, 2016

Last Update Submitted That Met QC Criteria

August 9, 2016

Last Verified

August 1, 2016

More Information

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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