The association between renal function and structural parameters: a pig study.
BACKGROUND
The objective was to investigate the association between renal structural parameters and renal function. The structural parameters were renal cortical volume, total renal volume, number of glomeruli, and total glomerular volume, and renal function was expressed by the single kidney GFR (skGFR). Investigations were performed using both healthy and chronically diseased kidneys. We investigated which of the structural parameters showed the best correlation to renal function and evaluated the possibility of predicting the renal function from structural parameters.


METHODS
Twenty-four pigs, twelve with healthy kidneys and twelve with diseased kidneys, underwent skGFR measurements. Nephrectomies were performed and structural parameters were estimated using stereological procedures. The correlation between the structural parameters and skGFR was analysed by Pearson's correlation test. The prediction of skGFR from structural parameters was analysed by a linear regression test.


RESULTS
In general, we demonstrated a good correlation between structural parameters and skGFR. When all kidneys were evaluated together Pearson's correlation coefficient between skGFR and any stereological parameter was above 0.60 and highly significant (p < 0.001), and with r-values ranging from 0.62 regarding number of glomeruli, to 0.78 regarding cortical volume. The best correlation was found between cortical volume and skGFR. Prediction of single kidney GFR from any structural parameter showed to be quite imprecise.


CONCLUSIONS
The observed correlations between structural parameters and renal function suggest that these parameters may potentially be useful as surrogate markers of the renal function. At present, however, precise prediction of renal function based on a single structural parameter seems hard to obtain.
Lødrup
Anders B
AB
MR Research Center, Aarhus University, Aarhus, Denmark. loedrup.ab@gmail.com
Karstoft
Kristian
K
Dissing
Thomas H
TH
Nyengaard
Jens R
JR
Pedersen
Michael
M
D000818:Animals; D003198:Computer Simulation; D005260:Female; D005919:Glomerular Filtration Rate; D007668:Kidney / Q000473:pathology* / Q000503:physiopathology*; D007676:Kidney Failure, Chronic / Q000473:pathology* / Q000503:physiopathology*; D008954:Models, Biological; D013223:Statistics as Topic; D013552:Swine