The purpose of this study is to evaluate whether or not an MRI technique (quantitative magnetization transfer or qMT) in narrowing human kidneys is feasible, reproducible, and predicts recovery.
Renal fibrosis is a final pathway and important biomarker of injury common to most forms of kidney disease. For example, in renal vascular disease (RVD) progressive renal fibrosis may induce kidney injury and hypertension. Early identification of fibrosis and adequate intervention may slow down renal disease progression, but adequate noninvasive strategies to detect and quantify renal fibrosis are yet to be identified. Magnetization transfer imaging (MTI) magnetic resonance imaging (MRI) is a novel noninvasive method to evaluate the tissue macromolecular composition. The investigators have demonstrated that MTI can assess stenotic kidney fibrosis in murine and swine models of unilateral RVD. However, the clinical utility of MT-MRI to assess renal fibrosis is currently limited, because it is inherently semi-quantitative. In contrast, quantitative MT (qMT), based on biophysical compartment models, provides more objective measurement of tissue MT properties. A model fitting of MR signal acquired with various MT pulse amplitudes and offset frequencies, combined with scan-specific B0/B1/T1 maps, give rise to a more complete definition of tissue parameters, including a "bound pool fraction", a direct measure of the macromolecular content in tissue. The hypothesis underlying this proposal is that qMT would reliably detect development of renal fibrosis at both 1.5 T and 3.0 T in subjects with RVD. To test this hypothesis, which is supported by strong preliminary data, the investigators will initially develop, optimize, and validate qMT for evaluation of fibrosis in the post-stenotic swine kidney. The investigators will correlate qMT-derived renal fibrosis with reference standards, as well as with single-kidney hemodynamics, function, and oxygenation, quantified using cutting-edge multi-detector CT (MDCT) and MRI techniques. The investigators will then determine the ability of qMT to predict renal recovery in pigs with RVD undergoing revascularization. Further, they will perform a pilot study to test the ability of qMT to quantify fibrosis in the post-stenotic human kidney, in comparison to innovative biomarkers of renal dysfunction and tissue damage. Three specific aims will test the hypotheses: Specific Aim 1: qMT in stenotic swine kidneys is feasible, reliable, and reproducible at 1.5 and 3.0 T. Specific Aim 2: qMT predicts renal recovery potential in response to percutaneous transluminal renal angioplasty (PTRA). Specific Aim 3: qMT in stenotic human kidneys is feasible, reproducible, and predicts recovery. The proposed studies may therefore establish a reliable, noninvasive, and clinically feasible strategy to quantify kidney fibrosis, a key biomarker for renal outcomes and therapeutic success.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SCREENING
Masking
NONE
Enrollment
24
The hypothesis underlying this proposal is that qMT would reliably detect development of renal fibrosis at both 1.5T and 3.0T in subjects with RVD. Patients will be studied with MRI (for fibrosis) and CT (for renal function).
Mayo Clinic in Rochester
Rochester, Minnesota, United States
Fibrosis assessed by qMT-MRI in the stenotic kidney and contralateral kidneys
A significant difference in qMT bound pool fraction (f, %) in the stenotic compared to the contralateral kidney in RVD patients.
Time frame: Baseline
Fibrosis assessed by qMT-MRI compared to stenotic kidney function
A significant correlation between qMT bound pool fraction (f, %) with function (SK-GFR) and oxygenation (SK-R2\*) in the stenotic kidney.
Time frame: Baseline
Fibrosis assessed by qMT-MRI compared to stenotic kidney injury markers
A significant correlation between qMT bound pool fraction (f, %) with levels of renal injury markers: Neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecular (KIM)-1, lactate dehydrogenase (LDH)\], as well as urinary levels of extracellular vehicles (EVs) (measured by flow cytometry, %) originating from renal microvessels.
Time frame: Baseline
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.