No abstract

The presence of granular swollen epithelial cells (GSECs) in tubular cells was recently reported to be a specific change associated with mitochondrial cytopathy. However, at present, GSEC is not routinely evaluated. We, in this study, present a case of glomerulosclerosis, in which the presence of GSECs should provide us one clue to understand the pathogenesis of its progressive decline of renal function. A 54-year-old Japanese female, who had been diagnosed with Graves' disease, was referred for the examination and treatment of her proteinuria (5.4 g/gCre at the first visit to our hospital). A kidney biopsy showed 28.6% of the glomeruli to be globally sclerosed and 10.7% of the glomeruli to have completely collapsed. However, according to a light microscopic analysis, all other glomeruli showed an almost normal appearance, except for some slight enlargement. Almost 30% of the interstitium was damaged by fibrosis. Characteristically, GSECs were observed in the medulla collecting ducts. Although she had no symptoms of either myopathy or encephalopathy, no history of stroke-like episodes or difficulty in hearing, her serum concentrations of lactate and pyruvate were both elevated. Therefore, mitochondrial DNA sequencing was performed to assess the etiopathogenesis of her nephropathy. Consequently, a homoplasmic 7501 T > A replacement, which has not been previously reported in patients with renal diseases, was detected. This case suggests that the routine evaluation of GSECs can provide important clues to assess the etiopathogenesis of cryptogenic glomerulosclerosis.

This study provided a new method for estimating the renal cortex volume in day-to-day clinical practice.

BackgroundThe nephron number is thought to be associated with the outcome of chronic kidney disease (CKD). If the nephron number can be estimated in the clinical setting, it could become a strong tool to predict renal outcome. This study was designed to estimate the nephron number in CKD patients and to establish a method to predict the outcome by using the estimated nephron number.Methods/DesignThe hypothesis of this study is that the estimated nephron number can predict the outcome of a CKD patient. This will be a multicenter, prospective (minimum 3 and maximum 5 years follow-up) study. The subjects will comprise CKD patients aged over 14 years who have undergone a kidney biopsy. From January 2011 to March 2013, we will recruit 600 CKD patients from 10 hospitals belonging to the National Hospital Organization of Japan. The primary parameter for assessment is the composite of total mortality, renal death, cerebro-cardiovascular events, and a 50% reduction in the eGFR. The secondary parameter is the rate of eGFR decline per year. The nephron number will be estimated by the glomerular density in biopsy specimens and the renal cortex volume. This study includes one sub-cohort study to establish the equation to calculate the renal cortex volume. Enrollment will be performed at the time of the kidney biopsy, and the data will consist of a medical interview, ultrasound for measurement of the kidney size, blood or urine test, and the pathological findings of the kidney biopsy. Patients will continue to have medical consultations and receive examinations and/or treatment as usual. The data from the patients will be collected once a year after the kidney biopsy until March 2016. All data using this study are easily obtained in routine clinical practice.DiscussionThis study includes the first trials to estimate the renal cortex volume and nephron number in the general clinical setting. Furthermore, this is the first prospective study to examine whether the nephron number predicts the outcome of CKD patients. The results from this study should provide powerful new tools for nephrologists in routine clinical practice.Trial registrationUMIN-Clinical Trial Registration, UMIN000004784.

In immunoglobulin A nephropathy (IgAN), Cox regression analysis can select independent prognostic variables for renal functional decline (RFD). However, the correlation of the selected histological variables with clinical and/or treatment variables is unknown, thereby making histology-based treatment decisions unreliable. We prospectively followed 946 Japanese patients with IgAN for a median of 66 mo. and applied structural equation modeling (SEM) to identify direct and indirect effects of histological variables on RFD as a regression line of estimated glomerular filtration rate (eGFR) via clinical variables including amount of proteinuria, eGFR, mean arterial pressure (MAP) at biopsy, and treatment variables such as steroid therapy with/without tonsillectomy (ST) and renin–angiotensin system blocker (RASB). Multi-layered correlations between the variables and RFD were identified by multivariate linear regression analysis and the model’s goodness of fit was confirmed. Only tubular atrophy/interstitial fibrosis (T) had an accelerative direct effect on RFD, while endocapillary hypercellularity and active crescent (C) had an attenuating indirect effect via ST. Segmental sclerosis (S) had an attenuating indirect effect via eGFR and mesangial hypercellularity (M) had accelerative indirect effect for RFD via proteinuria. Moreover, M and C had accelerative indirect effect via proteinuria, which can be controlled by ST. However, both T and S had additional indirect accelerative effects via eGFR or MAP at biopsy, which cannot be controlled by ST. SEM identified a systemic path links between histological variables and RFD via dependent clinical and/or treatment variables. These findings lead to clinically applicable novel methodologies that can contribute to predict treatment outcomes using the Oxford classifications.