Patients: A prospective cross-sectional study including 27 patients with NS subjected to renal biopsy for glomerular disease diagnosis in referral hospitals of Salvador, Brazil, from July 2013 to April 2015. The biopsies were examined at the Fundação Oswaldo Cruz, Instituto Gonçalo Moniz in Salvador, Brazil. Cases were excluded if the renal biopsy contained less than 7 glomeruli, if the estimated interstitial fibrosis encompassed 30% or more of the cortical area, if the patient had diabetes mellitus or infections. The patients were allocated into 3 groups: PRO - 8 patients with proliferative glomerulopathy, ATN - 10 patients with ATN without proliferative glomerulonephritis and Non-ATN - 9 patients without ATN or proliferative glomerular lesions. AKI was defined using the KDIGO criteria. Ten healthy volunteers were used as a reference group of normal urine cytology.
Clinical data: The following data were obtained from biopsy request forms and by anamneses: age, sex, serum creatinine, albumin, cholesterol, 24-hour urine proteinuria and diagnosis of systemic arterial hypertension.
Histological analysis: The renal specimens were obtained by percutaneous biopsies, fixed in Bouin’s solution or acid formalin, paraffin embedded, cut into 2-μm thick sections, and stained with hematoxylin and eosin. All the slides were reviewed by a pathologist (WLCS). The intensity of ATN was estimated as a percentage of the renal cortex by visual assessment. The following tubular changes were considered as evidence of either current or recent ATN: tubular dilatation, thinning of the tubular epithelium, cellular casts, interstitial edema, and the evidence of epithelial regeneration (hyperchromatic nucleus, mitosis, and binucleation). The percentage of cortical tubulointerstitial fibrosis was estimated by visual assessment.
Cytology analysis: Fresh urine was obtained from the patients by spontaneous voiding before renal biopsy. Ten milliliters of urine were centrifuged at 2,000 g per 10 min in a standard centrifuge. The supernatant was removed by suction. The sediment was resuspended in 100 µl of Hank’s balanced salt solution (HBSS) and cytocentrifuged onto histological slides at 500 rpm per 5 min, fixed with a methanol-based buffered preservative solution and stained with hematoxylin and eosin. Ten low-power (x100), non-overlapping images were collected from each patient’s cytological smears using a camera attached to a light microscope (CX41, Olympus, Tokyo, Japan) and Image-Pro Plus software version 7.0 (MediaCybernetics, Inc., Bethesda, MD, USA). Cells were classified as small, medium or large. Morphometric estimates of cell diameter revealed that the cells classified as small measured up to 30 µm, those classified as medium measured 30-48 µm, and those classified as large measured over 48 µm. The cells were further classified as squamous cells (large cells with irregular cytoplasm and round and central nuclei), urothelial cells (large cells with regular rounded cytoplasm), renal tubular epithelial cells (small cells with small rounded nuclei and basophilic cytoplasm) or leukocytes (small cells with lobulated or oval hyperchromatic nuclei and basophilic cytoplasm).
Cell immunophenotyping: Cytological preparations were fixed in cold acetone and labeled for tubular cells and leukocytes identification. KIM-1/TIM-1 antibody (Abcam 47635) was used at 5 µg/mL diluted in phosphate buffered saline (PBS) containing 1% bovine serum albumin (BSA), 10% normal goat serum, 0.3 M glycine and 0.1% Tween 20, followed by a secondary antibody conjugated to Alexa Fluor 490 (green) at 1:200. For leukocyte identification, the slides were incubated with CD45 (Abcam 27287) FITC (green) at 1:100 in 1% PBS-BSA. DAPI was used to stain the cell nuclei.
Prediction of model and cross-validation: Models of prediction and cross-validation were built using Orange Data Mining software (University of Ljubljana). The classification based on cell morphology and the diagnosis of AKI were tested for prediction of the patient groups. The accuracy of the model, represented by area under the ROC curve (AUC) was assessed using cross-validation between three learning models: logistic regression, random forest and tree.
Statistical analysis: Continuous variables are summarized as the means ± standard deviations or median and first and third quartiles and were compared using the Kruskal-Wallis or ANOVA followed by Bonferroni’s multiple comparison tests when required. Comparisons of proportions were performed using chi-square test or Fisher’s exact probability test. Principal component analysis (PCA) graph was used to illustrate multivariate analysis of the data on cell morphology. The results were considered statistically significant at P<0.05. Data were analyzed using Prism 5.01 (GraphPad, San Diego, CA, USA) and Stata/IC 11 data analysis and statistical software (StataCorp LLC, College Station, TX, USA).
Ethical statement: All patients were informed about the research and agreed to participate. This work was approved by Research Ethical Committee of Fundação Oswaldo Cruz, Instituto Gonçalo Moniz, Salvador, BA, Brazil, Protocol No. 184.419.