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Publication
Assessment of renal fibrosis in murine diabetic nephropathy using quantitative
magnetization transfer MRI.
Authors Wang F, Katagiri D, Li K, Takahashi K, Wang S, Nagasaka S, Li H, Quarles CC,
Zhang MZ, Shimizu A, Gore JC, Harris RC, Takahashi T
Submitted By Submitted Externally on 6/4/2018
Status Published
Journal Magnetic Resonance in Medicine
Year 2018
Date Published 5/1/2018
Volume : Pages Not Specified : Not Specified
PubMed Reference 29845659
Abstract Renal fibrosis is a hallmark of progressive renal disease; however, current
clinical tests are insufficient for assessing renal fibrosis. Here we evaluated
the utility of quantitative magnetization transfer MRI in detecting renal
fibrosis in a murine model of progressive diabetic nephropathy (DN)., The db/db
eNOS-/- mice, a well-recognized model of progressive DN, and normal wild-type
mice were imaged at 7T. The quantitative magnetization transfer data were
collected in coronal plane using a 2D magnetization transfer prepared spoiled
gradient echo sequence with a Gaussian-shaped presaturation pulse. Parameters
were derived using a two-pool fitting model. A normal range of cortical pool
size ratio (PSR) was defined as Mean±2SD of wild-type kidneys (N?=?20). The
cortical regions whose PSR values exceeded this threshold (threshold PSR) were
assessed. The correlations between the PSR-based and histological (collagen IV
or picrosirius red stain) fibrosis measurements were evaluated., Compared with
wild-type mice, moderate increases in mean PSR values and scattered clusters of
high PSR region were observed in cortex of DN mouse kidneys. Abnormally high PSR
regions (% area) that were detected by the threshold PSR were significantly
increased in renal cortexes of DN mice. These regions progressively increased on
aging and highly correlated with histological fibrosis measures, while the mean
PSR values correlated much less., Renal fibrosis in DN can be assessed by the
quantitative magnetization transfer MRI and threshold analysis. This technique
may be used as a novel imaging biomarker for DN and other renal diseases.




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