Resting state MRI to map autoregulation of the kidney

NIH RePORTER · NIH · R21 · $262,975 · view on reporter.nih.gov ↗

Abstract

Project Summary/Abstract The kidney maintains glomerular filtration, despite constant and potentially damaging natural fluctuations in systemic blood pressure. This autoregulation is critical to maintaining the structural and functional integrity of the kidney, and failure of autoregulation is strongly implicated in progression of kidney pathologies associated with diabetic and hypertensive nephropathy. There are several identified mechanisms of autoregulation of local blood pressure and flow, including a myogenic response and tubuloglomerular feedback (TGF). These mechanisms are associated with distinct bands of low frequencies of oscillation in perfusion pressure, but there are currently no tools to investigate the spatial localization of these mechanisms or develop them for potential clinical use. Here we develop the tool of resting- state magnetic resonance imaging (MRI) to measure and map oscillations in vascular diameters associated with these two mechanisms. This is based on our recent observations of reproducible resting- state fluctuations in MRI with frequency bands consistent with myogenic and TGF mechanisms. We will first investigate this tool in the healthy rat kidney and measure patterns in the spectra within and between kidneys during the life course of the animal. We will validate the MRI measurements using optical microscopy, and determine whether the detected autoregulation is eliminated or reduced with administration of furosemide. Finally, we will investigate the use of resting- state MRI to measure a decrease in autoregulation during development of nephropathy in the spontaneously hypertensive rat model. If successful, this work will provide a noninvasive tool to more completely understand mechanisms and develop predictive markers to investigate genetic models, guide new therapies, inform allograft transplantation, and monitor kidney health.

Key facts

NIH application ID
10539432
Project number
1R21DK134104-01
Recipient
WASHINGTON UNIVERSITY
Principal Investigator
Kevin M Bennett
Activity code
R21
Funding institute
NIH
Fiscal year
2022
Award amount
$262,975
Award type
1
Project period
2022-08-20 → 2024-07-31