Transition from minimal change disease to focal segmental glomerulosclerosis related to occupational exposure: A case report

A pilot study of anti-nephrin antibodies in podocytopaties among adults

AIM

Minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS) are podocytopathies characterized by damage to the glomerular filtration barrier, leading to proteinuria and nephrotic syndrome. The production of anti-podocyte antibodies has been proposed as potential circulating factors contributing to the development of these conditions. The aim of the study is to evaluate the levels of anti-nephrin antibodies in patients with podocytopathies and healthy subjects.

METHODS

In this study, a total of 77 patients with active glomerulopathy and 11 healthy subjects were included. Forty one patients were diagnosed with FSGS, 11 with MCD, and 25 with MN. To measure the levels of anti-nephrin antibodies, enzyme-linked immunosorbent assay was used.

RESULTS

The levels of antibodies to nephrin were significantly higher in patients with MCD 61.2 [28.9-66.3] ng/mL and FSGS 32.5 [17.2-58.4] ng/mL compared to MN 20.3 [14.4-38.4] and healthy individuals 15.3 [12-18.9] ng/mL, p < .05. In patients with primary FSGS, the levels of antibodies to nephrin were significantly higher 45.2 [20-64.3] ng/mL compared to patients with secondary FSGS 26.7 [11.2-44.1] ng/mL, p < .05. There were no significant differences in the remission rate between the anti-nephrin antibodies positive and negative groups (log-rank test: p = .158).

CONCLUSION

The level of anti-nephrin antibodies was found to be significantly higher in patients with MCD and pFSGS compared to those with sFSGS, MN, and healthy subjects. Anti-nephrin antibodies in MCD and primary FSGS may be associated with the severity of podocytopathies, however they did not have an impact on the response to therapy.

Current understanding of the molecular mechanisms of circulating permeability factor in focal segmental glomerulosclerosis

The pathogenetic mechanisms underlying the onset and the post-transplant recurrence of primary focal segmental glomerulosclerosis (FSGS) are complex and remain yet to be fully elucidated. However, a growing body of evidence emphasizes the pivotal role of the immune system in both initiating and perpetuating the disease. Extensive investigations, encompassing both experimental models and patient studies, have implicated T cells, B cells, and complement as crucial actors in the pathogenesis of primary FSGS, with various molecules being proposed as potential "circulating factors" contributing to the disease and its recurrence post kidney-transplantation. In this review, we critically assessed the existing literature to identify essential pathways for a comprehensive characterization of the pathogenesis of FSGS. Recent discoveries have shed further light on the intricate interplay between these mechanisms. We present an overview of the current understanding of the engagement of distinct molecules and immune cells in FSGS pathogenesis while highlighting critical knowledge gaps that require attention. A thorough characterization of these intricate immune mechanisms holds the potential to identify noninvasive biomarkers that can accurately identify patients at high risk of post-transplant recurrence. Such knowledge can pave the way for the development of targeted and personalized therapeutic approaches in the management of FSGS.

Development and validation of a simple-to-use nomogram for predicting minimal change disease based on quantification of color Doppler sonography data from a region of interest

OBJECTIVES

To establish a simple-to-use nomogram based on quantification of color Doppler sonography data from a region of interest (ROI) to diagnose minimal change disease (MCD) promptly and non-invasively, and to evaluate the prediction capability of the nomogram.

METHODS

We recruited 564 patients with pathology-proven renal disease who were admitted to our hospital from July 2020 to July 2021 (388 patients in the training dataset and 176 patients in the validation dataset), and their color Doppler sonography data were acquired from a ROI and underwent ipsilateral renal biopsy. The collected clinical features and ultrasonic features were imported into Rstuido and statistically significant features were selected by stepwise regression using the forward-backward method. Multivariate Logistic regression analysis was combined with clinical analysis to obtain the final modeling features. General and dynamic nomogram models were constructed with the selected features, depending on whether they were MCD or not. Bootstrapping and internal validation were used for internal and external validation of the nomogram, respectively. The performance of the nomogram was assessed by C-index, calibration curve, and receiver operating characteristic (ROC) curve.

RESULTS

Age and VI were independent factors in predicting MCD. The value of Age (Best cut-off value: 33.5 years) combined with VI (Best cut-off value: 40.50 points) in the diagnosis of MCD was significantly higher than that of single diagnosis (AUC 0.901, 95% CI 0.863-0.938). The C-index of the nomogram constructed with age and VI in the training and validation datasets was 0.915 [95% confidence interval (CI) 0.874-0.956 and 0.875 95% CI 0.783-0.967], respectively. Calibration curves were fitted well. The sensitivity, specificity, and accuracy were 76.1%, 95.6%, and 78.3%, respectively, in the training dataset, and 74.1%, 94.4%, and 76.1% in the validation dataset, respectively.

CONCLUSION

The nomogram constructed with age and VI showed a satisfactory degree of differentiation and accuracy, which is of great significance for early, non-invasively, and individually analysis of the risk of MCD.