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dc.contributor.authorTorkamani, Niloufar-
dc.contributor.authorJerums, George-
dc.contributor.authorCrammer, Paul-
dc.contributor.authorSkene, Alison-
dc.contributor.authorPower, David A-
dc.contributor.authorPanagiotopoulos, Sianna-
dc.contributor.authorClarke, Michele V-
dc.contributor.authorMacIsaac, Richard J-
dc.contributor.authorEkinci, Elif I-
dc.identifier.citationScientific reports 2019; 9(1): 1829-
dc.description.abstractMesangial metrics reflect glomerular filtration surface area in diabetes. The point-sampled intercept (PSI) method is the conventional method to calculate these parameters. However, this is time consuming and subject to underestimation. We introduce a novel three-dimensional (3D) reconstruction method applicable to light microscopy to measure mesangial metrics. Transmission electron microscopy (TEM), PSI and our new 3D imaging methods were used to quantify mesangial metrics from 22 patients with type 2 diabetes, normo-, micro- and macroalbuminuria and an estimated glomerular filtration rate of <60 mL/min/1.73 m2. Repeated-measures ANOVA test was used to test the equality of the measurement means from the three methods and the degree of inter method variability. Repeated-measures and post-estimation ANOVA tests together with correlation coefficient measurements were used to compare the methods with TEM as reference. There was a statistically significant difference in mesangial volume measurements (F(2, 16) = 15.53, p = 0.0002). The PSI method underestimated measurements compared to TEM and 3D methods by 30% (p = 0.001) and 15%, respectively (p < 0.001). 3D and TEM measurements did not differ significantly. 3D reconstruction is a reliable and time efficient method for calculating mesangial metrics. It may prove to be a useful tool in clinical and experimental diabetic kidney disease.-
dc.titleThree Dimensional Glomerular Reconstruction: A Novel Approach to Evaluate Renal Microanatomy in Diabetic Kidney Disease.-
dc.typeJournal Article-
dc.identifier.journaltitleScientific reports-
dc.identifier.affiliationDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia-
dc.identifier.affiliationDepartment of Endocrinology, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationDepartment of Endocrinology & Diabetes, St. Vincent's Hospital Melbourne and University of Melbourne, Fitzroy, Victoria, Australiaen
dc.identifier.affiliationDepartment of Anatomical Pathology, Monash Medical Centre, Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Nephrology, Austin Health, Heidelberg, Victoria, Australiaen
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