The proposed clinical trial aims to assess if a year of treatment with a glucagon-like peptide 1 receptor agonist, a medication approved for weight management that also improves the body's response to glucose and insulin, can slow kidney growth in adults with autosomal dominant polycystic kidney disease who are overweight or obese. The study will also evaluate changes in abdominal fat and kidney metabolism using cutting-edge images techniques. Blood and urine samples will provide further insight into biological changes that may be linked to the benefits of the intervention, while ensuring careful monitoring of safety and tolerability.
Autosomal dominant polycystic kidney disease (ADPKD) is a common inherited disorder that leads to kidney failure. The only approved treatment to decelerate kidney disease progression in patients with ADPKD is tolvaptan, but its usage is limited due to frequent side effects affecting adherence. Thus, alternative interventions that may slow ADPKD progression hold considerable clinical importance. In line with the general population, body-mass index and insulin resistance have been increasing in patients with ADPKD. The investigators have shown that visceral adiposity associates strongly with accelerated progression of early-stage ADPKD. Pilot study suggested that diet-induced weight loss may slow kidney growth (% in height-adjusted total kidney volume \[htTKV\] by magnetic resonance imaging), and the study team is currently evaluating the efficacy of daily caloric restriction-induced weight loss for slowing ADPKD progression in a phase IIa clinical trial. However, the long-term adherence to lifestyle interventions is challenging, making pharmacological interventions a compelling adjunct or alternative. Moreover, the study team recently demonstrated that adults with ADPKD and preserved kidney function exhibited insulin resistance (via the gold-standard hyperinsulinemic-euglycemic clamps) and impaired kidney oxidative metabolism (via 11C-acetate PET), which were strongly associated with htTKV. These novel data suggest that targeting improvements in insulin sensitivity and kidney oxidative metabolism, in addition to weight loss, may slow ADPKD progression. Glucagon-like peptide 1 receptor agonists (GLP-1RAs) were recently FDA-approved for the treatment of obesity and show promise in substantially reducing adiposity and improving insulin sensitivity. Additionally, evidence indicates that GLP-1RAs may transform CKD management by reducing kidney events in patients with and without diabetes, via effects extending beyond glycemic modulation, and in part via attenuated kidney inflammation and oxidative stress. However, GLP-1RAs have not yet been evaluated as a novel therapy for slowing ADPKD progression in patients with overweight/obesity. Thus, the current study is a 12-month, phase II, randomized, placebo-controlled, double-blind clinical trial using a GLP-1RA in 126 adults with ADPKD and overweight or obesity to slow kidney growth (primary outcome). The trial will also evaluate changes in total body weight, adipose volume and function, insulin resistance, kidney oxidative metabolism, and inflammation, and carefully monitor safety and tolerability. As a novel therapeutic in ADPKD, GLP-1RAs could transform the treatment landscape for patients.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
QUADRUPLE
Enrollment
126
Titrated to dose of 5 mg once weekly subcutaneous
Titrated to dose of 5 mg once weekly subcutaneous
University of Colorado - Anschutz Medical Campus
Aurora, Colorado, United States
RECRUITINGChange in height-Adjusted Total kidney volume
To assess kidney growth,height-adjusted total kidney volume will be measured by magnetic resonance imaging at baseline and 12 months to determine annual percent change.
Time frame: Baseline, 12-months
Change in body weight
Change in body weight over the 12-month period will be measured using a calibrated digital scale.
Time frame: Baseline, 12-months
Change in abdominal adiposity
Abdominal adiposity (subcutaneous, visceral, and total) will be assessed by magnetic resonance imaging.
Time frame: Baseline, 12-months
Change in adiponectin (circulating)
Venous blood samples will be analyzed for this mechanistic biomarker
Time frame: Baseline, 6-months, 12-months
Change in leptin (circulating)
Venous blood samples will be analyzed for this mechanistic biomarker
Time frame: Baseline, 6-months, 12-months
Change in interleukin-6 (circulating)
Venous blood samples will be analyzed for this mechanistic biomarker
Time frame: Baseline, 6-months, 12-months
Change in tumor necrosis-factor-alpha (circulating)
Venous blood samples will be analyzed for this mechanistic biomarker
Time frame: Baseline, 6-months, 12-months
Change in high-sensitivity C-reactive protein (circulating)
Venous blood samples will be analyzed for this mechanistic biomarker
Time frame: Baseline, 6-months, 12-months
Change in 8-isoprostane (circulating)
Venous blood samples will be analyzed for this mechanistic biomarker
Time frame: Baseline, 6-months, 12-months
Change in copeptin (circulating)
Venous blood samples will be analyzed for this mechanistic biomarker
Time frame: Baseline, 6-months, 12-months
Change in HOMA-IR
The Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) will use fasting glucose and insulin to calcuate insulin sensitivity
Time frame: Baseline, 6-months, 12-months
Change in HOMA-β
The Homeostatic Model Assessment of β-cell function (HOMA-β) will use fasting glucose and insulin to calcuate insulin secretion.
Time frame: Baseline, 6-months, 12-months
Change in 8-isoprostane (urinary)
Sport urine samples will be analyzed for this mechanistic biomarker
Time frame: Baseline, 6-months, 12-months
Change in copeptin (urinary)
Sport urine samples will be analyzed for this mechanistic biomarker
Time frame: Baseline, 6-months, 12-months
Change in renal oxygen consumption
Renal oxygen consumption will be assessed by a PET/CT scan using 11-C acetate in a sub-set of participants
Time frame: Baseline, 12-months
Change in gut microbiota
16S rRNA gene sequencing will be used for taxonomic characterization of the gut microbiota in a subset of participants.
Time frame: Baseline, 12-months
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