Automated Image Analyses of Glomerular Hypertrophy in a Mouse Model of Diabetic Nephropathy

Abstract

BackgroundGlomerular hypertrophy is a hallmark of kidney injury in metabolically induced renal diseases such as obesity-associated glomerulopathies and diabetic nephropathy (DN).MethodsUsing light sheet fluorescent microscopy (LSFM) and 3D image analysis, we tested algorithms for automated and unbiased quantification of total glomerular numbers and individual glomerular volume in the uninephrectomized (UNx) db/db mouse model of DN.ResultsAt 6 weeks after surgery, db/db and UNx db/db mice showed increased urine albumin-to-creatinine ratio (ACR) compared with db/+ control mice. Before euthanasia, glomeruli were labeled in vivo by injecting tomato lectin. Whole-kidney LSFM 3D image analysis revealed that mean glomerular volume was significantly increased in UNx db/db mice compared with db/+ mice. Moreover, analysis of individual glomerular volume showed a shift in volume distribution toward larger glomeruli and thereby demonstrated additive effects of diabetes and UNx on induction of glomerular hypertrophy. The automatized quantification showed no significant differences in glomerular numbers among db/+, db/db, and UNx db/db mice. These data correlated with glomerular numbers as quantified by subsequent stereologic quantification.ConclusionsOverall, LSFM coupled with automated 3D histomorphometric analysis was demonstrated to be advantageous for unbiased assessment of glomerular volume and numbers in mouse whole-kidney samples. Furthermore, we showed that injection of fluorescently labeled lectin and albumin can be used as markers of nephron segments in the mouse kidneys, thus enabling functional assessment of kidney physiology, pathology, and pharmacology in preclinical rodent models of kidney disease.