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

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

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01350388
Enrollment
80
Registered
2011-05-09
Start date
2011-05-31
Completion date
2013-12-31
Last updated
2016-10-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Kidney Disease, Diabetes

Keywords

Chronic Kidney Disease, Diabetes, Febuxostat, Inflammation, Hyperuricemia

Brief summary

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.

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.

Interventions

DRUGFebuxostat

80 mg/day of febuxostat for 24 weeks

DRUGPlacebo

1 placebo tablet per day for 24 weeks

Sponsors

Takeda
CollaboratorINDUSTRY
University of Utah
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
QUADRUPLE (Subject, Caregiver, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Change in Urinary Concentrations of Transforming Growth Factor-beta1 (TGF-beta1) From Baseline to 24 WeeksBaseline and 24 weeksThe percent difference in TGF-beta1 concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Change in Thiobarbituric Acid Reactive Substance (TBARS) Concentration in Adipose Tissue From Baseline to 24 WeeksBaseline and 24 weeksThe percent difference in thiobarbituric acid reactive substance (TBARS) concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Change in Adiponectin Concentration in Adipose Tissue From Baseline to 24 WeeksBaseline and 24 weeksThe percent difference in adiponectin concentration geometric mean values from baseline to 24 weeks was calculated for each arm

Secondary

MeasureTime frameDescription
Change in Tumor Necrosis Factor-α (TNF-α) Concentration in Plasma From Baseline to 24 WeeksBaseline and 24 weeksThe percent difference in plasma TNF-α concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Change in Interleukin-6 (IL-6) Concentration in Plasma From Baseline to 24 WeeksBaseline and 24 weeksThe percent difference in plasma IL-6 concentration geometric mean values from baseline to 24 weeks was calculated for each arm
Change in High Sensitivity C-Reactive Protein (hsCRP) Concentration in Plasma From Baseline to 24 WeeksBaseline and 24 weeksThe percent difference in plasma hsCRP concentration geometric mean values from baseline to 24 weeks was calculated for each arm

Countries

United States

Participant flow

Participants by arm

ArmCount
Febuxostat
Febuxostat: 80 mg/day of febuxostat for 24 weeks
40
Placebo
Placebo: 1 placebo tablet per day for 24 weeks
40
Total80

Baseline characteristics

CharacteristicFebuxostatPlaceboTotal
Age, Continuous67 years
STANDARD_DEVIATION 10
68 years
STANDARD_DEVIATION 11
68 years
STANDARD_DEVIATION 10
Estimated Glomerular Filtration Rate (eGFR)52.2 milliliters per minute
STANDARD_DEVIATION 15.3
54.8 milliliters per minute
STANDARD_DEVIATION 19
53.5 milliliters per minute
STANDARD_DEVIATION 17.2
Plasma Uric Acid Level7.2 milligram per deciliter
STANDARD_DEVIATION 1.5
7.1 milligram per deciliter
STANDARD_DEVIATION 1.2
7.2 milligram per deciliter
STANDARD_DEVIATION 1.4
Sex: Female, Male
Female
16 Participants12 Participants28 Participants
Sex: Female, Male
Male
24 Participants28 Participants52 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
— / —— / —
other
Total, other adverse events
0 / 400 / 40
serious
Total, serious adverse events
1 / 403 / 40

Outcome results

Primary

Change in Adiponectin Concentration in Adipose Tissue From Baseline to 24 Weeks

The percent difference in adiponectin concentration geometric mean values from baseline to 24 weeks was calculated for each arm

Time frame: Baseline and 24 weeks

ArmMeasureValue (GEOMETRIC_MEAN)
FebuxostatChange in Adiponectin Concentration in Adipose Tissue From Baseline to 24 Weeks2.3 percent difference in geometric mean
PlaceboChange in Adiponectin Concentration in Adipose Tissue From Baseline to 24 Weeks-4.1 percent difference in geometric mean
p-value: 0.73ANCOVA
Primary

Change in Thiobarbituric Acid Reactive Substance (TBARS) Concentration in Adipose Tissue From Baseline to 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

Time frame: Baseline and 24 weeks

ArmMeasureValue (GEOMETRIC_MEAN)
FebuxostatChange in Thiobarbituric Acid Reactive Substance (TBARS) Concentration in Adipose Tissue From Baseline to 24 Weeks34.0 percent difference in geometric mean
PlaceboChange in Thiobarbituric Acid Reactive Substance (TBARS) Concentration in Adipose Tissue From Baseline to 24 Weeks44.6 percent difference in geometric mean
p-value: 0.84ANCOVA
Primary

Change in Urinary Concentrations of Transforming Growth Factor-beta1 (TGF-beta1) From Baseline to 24 Weeks

The percent difference in TGF-beta1 concentration geometric mean values from baseline to 24 weeks was calculated for each arm

Time frame: Baseline and 24 weeks

ArmMeasureValue (GEOMETRIC_MEAN)
FebuxostatChange in Urinary Concentrations of Transforming Growth Factor-beta1 (TGF-beta1) From Baseline to 24 Weeks29.8 percent difference in geometric mean
PlaceboChange in Urinary Concentrations of Transforming Growth Factor-beta1 (TGF-beta1) From Baseline to 24 Weeks10.0 percent difference in geometric mean
p-value: 0.23ANCOVA
Secondary

Change in High Sensitivity C-Reactive Protein (hsCRP) Concentration in Plasma From Baseline to 24 Weeks

The percent difference in plasma hsCRP concentration geometric mean values from baseline to 24 weeks was calculated for each arm

Time frame: Baseline and 24 weeks

ArmMeasureValue (GEOMETRIC_MEAN)
FebuxostatChange in High Sensitivity C-Reactive Protein (hsCRP) Concentration in Plasma From Baseline to 24 Weeks12.2 percent difference in geometric mean
PlaceboChange in High Sensitivity C-Reactive Protein (hsCRP) Concentration in Plasma From Baseline to 24 Weeks-7.2 percent difference in geometric mean
p-value: 0.35ANCOVA
Secondary

Change in Interleukin-6 (IL-6) Concentration in Plasma From Baseline to 24 Weeks

The percent difference in plasma IL-6 concentration geometric mean values from baseline to 24 weeks was calculated for each arm

Time frame: Baseline and 24 weeks

ArmMeasureValue (GEOMETRIC_MEAN)
FebuxostatChange in Interleukin-6 (IL-6) Concentration in Plasma From Baseline to 24 Weeks-24.0 percent difference in geometric mean
PlaceboChange in Interleukin-6 (IL-6) Concentration in Plasma From Baseline to 24 Weeks-9.5 percent difference in geometric mean
p-value: 0.13ANCOVA
Secondary

Change in Tumor Necrosis Factor-α (TNF-α) Concentration in Plasma From Baseline to 24 Weeks

The percent difference in plasma TNF-α concentration geometric mean values from baseline to 24 weeks was calculated for each arm

Time frame: Baseline and 24 weeks

ArmMeasureValue (GEOMETRIC_MEAN)
FebuxostatChange in Tumor Necrosis Factor-α (TNF-α) Concentration in Plasma From Baseline to 24 Weeks-9.9 percent difference in geometric mean
PlaceboChange in Tumor Necrosis Factor-α (TNF-α) Concentration in Plasma From Baseline to 24 Weeks-7.4 percent difference in geometric mean
p-value: 0.88ANCOVA

Source: ClinicalTrials.gov · Data processed: Mar 2, 2026