The Spectrum of Children's Kidney Diseases—2403 Renal Biopsy-Proven Cases from a Single Centre in China Between 1999 and 2019

Background: This study aimed to investigate the clinical and pathological characteristics and the changes in glomerular diseases in 2403 pediatric renal biopsies from 1999 to 2019.Methods: Renal biopsies performed on children aged ≤18 years between 1999 and 2019 were analysed at our center. We analysed the clinical and histological characteristics, distribution of pediatric glomerular diseases with various clinical presentations, and changes in the glomerular disease patterns during the study period.Results: The most common primary glomerular disease was IgA nephropathy (IgAN) (24.3%), followed by minimal change disease (MCD) (15.3%) and membranous glomerulonephritis (MN) (13.1%). Henoch-Schonlein purpura nephritis (HSPN) (18.1%) and lupus nephritis (LN) (7.2%) were the most frequently recorded secondary glomerular diseases. Alport syndrome and thin basement membrane nephropathy (TBMN) were the most common inherited glomerular diseases, accounting for 1.2% and 0.6% of the total glomerular diseases in children, respectively. The number of boys with IgAN, MCD and IgM nephropathy (IgMN) was higher than that of girls, while the number of girls with MN and LN was higher than that of boys. The frequencies of MCD, MN, IgMN and endocapillary proliferative glomerulonephritis (EnPGN) in the 13-18-year-old group were higher than those in the 0-12-year-old group, while the frequencies of IgAN, mesangial proliferative glomerulonephritis (MsPGN) and focal proliferative glomerulonephritis (FPGN) were lower than those in the 0-12-year-old group. The ratio of Alport syndrome and TBMN in the 0-12-year-old group was higher than that in the 13-18-year-old group. The proportion of patients with MCD and MN in 2010-2019 was higher than that in 1999-2009, while the ratio of IgAN, MsPGN, IgMN, EnPGN, membranoproliferative glomerulonephritis (MPGN), HSPN and HBV-associated glomerulonephritis (HBV-GN) decreased. MCD (28.5%) was the most common cause of nephrotic syndrome (NS). In children with haematuria and proteinuria, HSPN (38.8%) and IgAN (36.9%) were more common than other glomerular diseases. IgAN (39.4%) was the most common cause of AKI. Sclerosing glomerulonephritis (SGN) (21.1%) was the main cause of progressive chronic kidney disease (CKD).Conclusions: Glomerular diseases in children were related to sex and age. From 1999 to 2019, the spectrum of children's kidney disease in our center changed significantly.

Explainable Biomarkers for Automated Glomerular and Patient-Level Disease Classification

Background Pathologists use multiple microscopy modalities to assess renal biopsies. Besides usual diagnostic features, some changes are too subtle to be properly defined. Computational approaches have the potential to systematically quantitate subvisual clues, provide pathogenetic insight, and link to clinical outcomes. To this end, a proof of principle study is presented demonstrating that explainable biomarkers through machine learning can distinguish between glomerular disorders at the light microscopy level. Methods The proposed system employed image analysis techniques and extracted 233 explainable biomarkers related to color, morphology, and microstructural texture. Traditional machine learning was then used to classify minimal change disease (MCD), membranous nephropathy (MN), and thin-basement membrane nephropathy (TBMN) diseases on a glomerular and patient-level basis. Results The final model combined the Gini feature importance set and Linear Discriminant Analysis classifier. Six morphological (nuclei-to-glomerular tuft area, nuclei-to-glomerular area, glomerular tuft thickness > 10, glomerular tuft thickness > 3, total glomerular tuft thickness, and glomerular circularity) and four microstructural texture features (luminal contrast using wavelets, nuclei energy using wavelets, nuclei variance using color vector LBP, and glomerular correlation using GLCM) were together the best performing biomarkers. Accuracies of 76.86% and 86.67% were obtained for glomerular and patient-level classification, respectively. Conclusion Computational methods using explainable glomerular biomarkers have diagnostic value and are compatible with our existing knowledge of disease pathogenesis. Furthermore, this algorithm can be applied to clinical datasets for novel prognostic and mechanistic biomarker discovery.

Prevalence Estimates of Predicted Pathogenic COL4A3 - COL4A5 Variants in a Population Sequencing Database and Their Implications for Alport Syndrome

Background: The prevalence of Alport syndrome varies from one in 5,000 to one in 53,000. This study estimated the frequencies of predicted pathogenic COL4A3- COL4A5 variants in sequencing databases of populations without known kidney disease. Methods: Predicted pathogenic variants were identified using filtering steps based on the ACMG/AMP criteria that considered collagen IV α3-α5 position 1 Gly to be critical domains. The population frequencies of predicted pathogenic COL4A3-COL4A5 variants were then determined per mean number of sequenced alleles. Population frequencies for compound heterozygous and digenic combinations were calculated from the results for heterozygous variants. Results:COL4A3-COL4A5 variants resulting in position 1 Gly substitutions were confirmed associated with haematuria (p each <0.0001). Predicted pathogenic COL4A5 variants were found in at least one in 2,320 individuals. p.(Gly624Asp), represented nearly half (16/33, 48%) the variants in Europeans. Most COL4A5 variants (54/59, 92%) had a biochemical feature that potentially mitigated clinical impact. Predicted pathogenic heterozygous COL4A3 and COL4A4 variants affected one in 106 of the population, consistent with the finding of Thin basement membrane nephropathy in normal donor kidney biopsies. Predicted pathogenic compound heterozygous variants occurred in one in 88,866 individuals and digenic variants in at least one in 44,793. Conclusions: The population frequencies for Alport syndrome are suggested by the frequencies of predicted pathogenic COL4A3-COL4A5 variants but must be adjusted for the disease penetrance of individual variants, as well as the likelihood of already diagnosed disease and non-Gly substitutions. Disease penetrance may depend on other genetic and environmental factors.

Gene Expression as a Guide to the Development of Novel Therapies in Primary Glomerular Diseases

Despite improvements in understanding the pathogenic mechanisms of primary glomerular diseases, therapy still remains nonspecific. We sought to identify novel therapies targeting kidney-intrinsic injury of distinct primary glomerulonephritides through computational systems biology approaches. We defined the unique transcriptional landscape within kidneys from patients with focal segmental glomerulosclerosis (FSGS), minimal change disease (MCD), immunoglobulin A nephropathy (IgAN), membranous nephropathy (MN) and thin basement membrane nephropathy (TBMN). Differentially expressed genes were functionally annotated with enrichment analysis, and distinct biological processes and pathways implicated in each primary glomerular disease were uncovered. Finally, we identified novel drugs and small-molecule compounds that may reverse each glomerulonephritis phenotype, suggesting they should be further tested as precise therapy in primary glomerular diseases.

The Spectrum of Children's Kidney Diseases—2403 Renal Biopsy-proven Cases from a Single Centre in China between 1999 and 2019

Background: This study aimed to investigate the clinical and pathological characteristics and the profile of and temporal changes in glomerular diseases in 2403 paediatric renal biopsies from 1999 to 2019.Methods: Renal biopsies performed on children aged ≤18 years between 1999 and 2019 were analysed at our centre. We analysed the clinical and histological characteristics, distribution of paediatric renal diseases with various clinical presentations, and changes in the pattern of kidney disease during the study period.Results: The most common primary glomerular disease was IgA nephropathy (IgAN) (24.3%), followed by minimal change disease (MCD) (15.3%) and membranous glomerulonephritis (MN) (13.1%). Henoch-Schonlein purpura nephritis (HSPN) (18.1%) and lupus nephritis (LN) (7.2%) were the most frequently recorded secondary glomerular diseases. Alport syndrome and thin basement membrane nephropathy (TBMN) were the most common inherited glomerular diseases, accounting for 1.2% and 0.6% of the total glomerular diseases in children, respectively. The number of boys with IgAN, MCD and IgM nephropathy (IgMN) was significantly higher than that of girls, while the number of girls with MN and LN was significantly higher than that of boys. The frequencies of MCD, MN, IgMN and endocapillary proliferative glomerulonephritis (EnPGN) in the 13-18-year-old group were significantly higher than those in the 0-12-year-old group, while the frequencies of IgAN, mesangial proliferative glomerulonephritis (MsPGN) and focal proliferative glomerulonephritis (FPGN) were lower than those in the 0-12-year-old group. The ratio of Alport syndrome and TBMN in the 0-12-year-old group was significantly higher than that in the 13-18-year-old group. The proportion of patients with MCD and MN in 2010-2019 was significantly higher than that in 1999-2009, while the ratio of IgAN, MsPGN, IgMN, EnPGN, membranoproliferative glomerulonephritis (MPGN), HSPN and HBV-associated glomerulonephritis (HBV-GN) decreased. MCD (28.5%) was the most common cause of nephrotic syndrome (NS). In children with haematuria and proteinuria, HSPN (38.8%) and IgAN (36.9%) were more common than other glomerular diseases. IgAN (39.4%) was the most common cause of AKI. Sclerosing glomerulonephritis (SGN) (21.1%) was the main cause of progressive chronic kidney disease (CKD).Conclusions: Glomerular diseases in children were related to sex and age. From 1999 to 2019, the spectrum of children's kidney disease in our centre changed significantly.

Preeclampsia, HELLP Syndrome, and Postpartum Renal Failure with Thin Basement Membrane Nephropathy: Case Report and a Brief Review of Postpartum Renal Failure

A 36-year-old primigravida female from a birthing center was referred for elevated blood pressure to the hospital two days after normal spontaneous vaginal delivery with nausea, vomiting, and diarrhea. During this two-day period, she was experiencing persistent vaginal bleeding and lower abdominal pains for which she took six doses of 600 mg ibuprofen. Further laboratory evaluation reflected leukocytosis, anemia, thrombocytopenia, elevation of liver enzymes, and renal failure with hyperkalemia requiring emergent hemodialysis once in the Medical Intensive Care Unit (MICU). She was diagnosed with HELLP syndrome with underlying preeclampsia. A week later, due to hypertension controlled with medications and nonoliguric renal failure with no active urine sediments, a renal biopsy was indicated to direct management. The renal biopsy supported the diagnosis of diffuse severe acute tubulointerstitial nephritis with hypereosinophilia and thin basement membrane nephropathy (see figures). She was subsequently treated with high-dose steroids which resulted in the normalization of blood pressures and renal function returning to baseline. We report the first case of acute tubulointerstitial nephritis in an individual with thin basement membrane nephropathy secondary to postpartum complications.

How genomics reclassifies diseases: the case of Alport syndrome

In this issue, Matthews et al. provide a comprehensive review of published cohorts with heterozygous pathogenic variants in COL4A3 or COL4A4, documenting the wide spectrum of the disease. Due to the extreme phenotypes that patients with heterozygous pathogenic variants in COL4A3 or COL4A4 may show, the disease has been referred to in a variety of ways, including ‘autosomal dominant Alport syndrome’, ‘thin basement membrane disease’, ‘thin basement membrane nephropathy’, ‘familial benign hematuria’ and ‘carriers of autosomal dominant Alport syndrome’. This confusion over terminology has prevented nephrologists from being sufficiently aware of the relevance of the entity. Nowadays, however, next-generation sequencing facilitates the diagnosis and it is becoming a relatively frequent finding in haematuric–proteinuric nephropathies of unknown origin, even in non-familial cases. There is a need to raise awareness among nephrologists about the disease in order to improve diagnosis and provide better management for these patients.

Prevalence of clinical, pathological and molecular features of glomerular basement membrane nephropathy caused by COL4A3 or COL4A4 mutations: a systematic review

Background Patients heterozygous for COL4A3 or COL4A4 mutations show a wide spectrum of disease, extending from familial isolated microscopic haematuria, as a result of thin basement membranes (TBMs), to autosomal dominant Alport syndrome (ADAS) and end-stage renal disease (ESRD). Many patients are mentioned in the literature under the descriptive diagnosis of TBM nephropathy (TBMN), in which case it actually describes a histological finding that represents the carriers of autosomal recessive Alport syndrome (ARAS), a severe glomerulopathy, as most patients reach ESRD at a mean age of 25 years. Methods We performed a systematic literature review for patients with heterozygous COL4A3/A4 mutations with the aim of recording the spectrum and frequency of pathological features. We searched three databases (PubMed, Embase and Scopus) using the keywords ‘Autosomal Dominant Alport Syndrome’ OR ‘Thin Basement Membrane Disease’ OR ‘Thin Basement Membrane Nephropathy’. We identified 48 publications reporting on 777 patients from 258 families. Results In total, 29% of the patients developed chronic kidney disease (CKD) and 15.1% reached ESRD at a mean age of 52.8 years. Extrarenal features and typical Alport syndrome (AS) findings had a low prevalence in patients as follows: hearing loss, 16%; ocular lesions, 3%; basement membrane thickening, 18.4%; and podocyte foot process effacement, 6.9%. Data for 76 patients from 54 families emphasize extensive inter- and intrafamilial heterogeneity, with age at onset of ESRD ranging between 21 and 84 years (mean 52.8). Conclusions The analysis enabled a comparison of the clinical course of patients with typical ARAS or X-linked AS with those with heterozygous COL4A mutations diagnosed with TBMN or ADAS. Despite the consequence of a potential ascertainment bias, an important outcome is that TBM poses a global high risk of developing severe CKD, over a long follow-up, with a variable spectrum of other findings. The results are useful to practicing nephrologists for better evaluation of patients.