Per Mose Nielsen1, Christian Østergaard Mariager2, Christoffer Mose Laustsen1, Marie Mose Mølmer2, and Rikke Nørregaard2
1MR Research Center, Clinical Institute, Århus N, Denmark, 2Clinical Institute, Århus N, Denmark
Synopsis
In
this study we try to develop a renal IRI model which leads to fibrosis. Fibrosis
markers indicate the best effect after 7 days of reperfusion. We also
investigate the possibility of using 23Na T2* to evaluate fibrosis,
this gave rise to a correlation with fibrosis markers only when normalizing to
water transport from cortex to medulla.
Background
Renal
ischemia/reperfusion injury (IRI) makes up 47% of all cases of acute kidney injury
(AKI)1, and up to 1.9% of all hospitalized patients develop AKI2.
AKI is an underestimated yet important factor leading to chronic kidney disease
(CKD). Even after initial total recovery from AKI, some patients develop
persistent deterioration of renal function. Therefore, the first aim of this
study was to evaluate and establish an AKI model which can lead to fibrosis
development. Currently, there is no clinical recognized non-invasive method to
evaluate and quantify fibrosis in the kidney over time. The second aim is to
establish a MRI sequence for fibrosis development. 1H T1 mapping has
shown potential as a fibrosis marker, we therefore utilized a Look-Locker
sequence for T1 mapping of fibrosis. Similar we wanted to investigate the
utility of 23Na T2 mapping as fibrosis marker.Methods
Rats were subjected to 40
min of bilateral renal ischemia and reperfusion period was either 7 (200g n=6),
14 (250g n=5) or 21 days (310g n=5). As positive control 6 animals were
subjected to unilateral ureteral obstruction (UUO). A group of 6 animals
received sham surgery. The experiments were performed in a 9.4T MR system
(Agilent) equipped with a dual tuned 23Na/1H volume rat
coil. A 1H
T2‐weighted Fast Spin Echo coronal and axial scan was acquired for an
anatomical 1H scout. For T1-measurements, a
single-slice segmented Look–Locker sequence with gradient-echo readout was used
to acquire T1-weighted data. A dynamic contrast-enhanced (DCE) T2*-weighted
sequence was performed using an axial 1H gradient-echo sequence, covering
both kidneys in 1 slice. A
single bolus of 50 µL of Dotarem was administered. Transport rate (Kcl) was
calculated using the Baumann-Rudin (BR) model from cortex to inner medulla. We
performed a 2D 23Na sodium chemical shift imaging (CSI) sequence for
T2* 23Na acquisition. After MRI scan sessions,
kidneys, urine and plasma were stored for further biochemical analyses.Results and discussion
Interestingly, we found
an early elevation in fibrosis markers (fibronectin and αSMA) after 7 days of
reperfusion. After 21 days both fibronectin and αSMA protein levels were nearly
equal to sham levels (figure 1). This trend was also observed at the mRNA
expression of fibronectin and αSMA. We do currently not know the exact reason
to this early elevation, but histological examinations will also be performed
on tissue slices for further investigation. 1H T1 and 23Na
T2 initially showed no correlation to fibrosis (figure 2). We speculated this
was caused by the very different pathological conditions with high variation in
water content on the different models. By normalizing the cortex/medulla ratio to
water transport, we found a correlation between fibrosis and the MR scans.Conclusion
In
conclusion, our data showed highest expression of the fibrosis markers fibronectin and αSMA
at 7 days after IRI which then drops to sham levels after 21 days. Fibrosis in
UUO was highest after 7 days, as was expected. Uncorrected 1H T1 and
23Na T2 showed no correlation with fibrosis. Normalizing 1H
T1 and 23Na T2 to the transport constant Kcl calculated using the
BR-model from DCE-MRI, gave results similar to the fibrosis markers fibronectin and αSMA.
Taken together, there is still a lot of investigation needed to establish a
good CKD IRI model, and to establish a MRI sequence for fibrosis development.Acknowledgements
No acknowledgement found.References
1.
Hoste, E. A. J. et
al. Epidemiology of acute kidney injury in critically ill patients: the multinational
AKI-EPI study. Intensive Care Med. 41, 1411–1423 (2015).
2.
Bellomo, R., Kellum, J. A. & Ronco, C. Acute kidney
injury. Lancet 380, 756–766 (2012).