Circulating soluble CD30 is associated with renal tertiary lymphoid structures and the progression of IgA nephropathy.

BACKGROUND: Renal tertiary lymphoid structures (TLSs) are involved in renal pathology and prognosis of IgA nephropathy (IgAN). CD30 and its ligands participate in the formation of renal TLSs. However, the relationship between circulating CD30 and renal prognosis is unclear. The objective of this study was to evaluate the relationship between circulating CD30 and prognosis in patients with IgAN. METHODS: We conducted a retrospective study including 351 patients with biopsy proved IgAN. We collected clinical and pathologic features at the time of biopsy and recorded renal follow-up outcomes. Circulating CD30 levels in IgAN patients at the time of biopsy were measured via enzyme-linked immunosorbent assay (ELISA). The association between elevated CD30 levels and the composite endpoint (defined as a ≥ 50 % decline in eGFR from baseline, end-stage renal disease, or death) was investigated using Cox regression analysis. RESULTS: During a median follow-up period of 5.12 years, 44 (12.5 %) patients in the cohort reached the composite endpoint. Kaplan-Meier survival curve analysis revealed a significant association between higher circulating CD30 levels and a poorer renal prognosis (log-rank P < 0.001). Cox regression analysis showed that high CD30 was an independent factor for the composite endpoints in multivariable-adjusted models (HR 3.397, 95 % CI: 1.230-9.384, P = 0.018). These associations were also observed in a subgroup of patients with concomitant renal TLSs formation (10.443, 95 % CI: 1.680-65.545, P = 0.012), proteinuria > 1 g/d (HR 12.287, 95 % CI: 1.499-100.711, P = 0.019), and female patients (HR 22.372, 95 % CI: 1.797-278.520, P = 0.016). CONCLUSION: Elevated level of circulating CD30 is an independent risk factor for renal disease progression in patients with IgAN.

Systematic Review of the Link Between Oxford MEST-C Classification and Complement Activation in IgA Nephropathy.

Introduction: IgA nephropathy's (IgAN's) MEST-C classification relationship with complement activation is still not fully understood because of limited and conflicting evidence. Our study aimed to delineate this relationship through a systematic review. Methods: We adhered to the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines and conducted a systematic review, utilizing databases like MEDLINE (PubMed), Embase, Scopus, and Cochrane from January 2016 (year of updated MEST-C classification) to January 2023. We specifically selected studies that employed established methods to evaluate complement activation and the MEST-C classification. Results: A total of 34 studies with 10,082 patients were included. Among these, 7 studies focused on the pediatric population (500 patients), and 22 studies involved 8128 patients from Asian populations. C4d, C3, C5b9, MBL, C4, and factor H-related protein 5 (FHR5) were the most frequently studied complement proteins in relation to the MEST-C classification. Complement activation assessment was primarily conducted using immunofluorescence and immunohistochemistry on kidney biopsy specimens. All complement proteins investigated showed associations with the C1-2 class. Notably, FB, FH, MASP1/3, MASP2, C5a, and C5b9 from the alternative, lectin, and terminal pathways were uniquely present in the C1-2 class. Whereas C3, FHR5, C4, and C4d were associated with all the MEST-C classes. Conclusion: We found evidence supporting the involvement of alternative and lectin complement pathways across all MEST-C classes. All examined complement factors were associated with the C1-2 class, emphasizing the critical role of complement activation, possibly at the endothelial surface. These findings may guide the development of personalized treatment strategies targeting complement pathways in relation to the MEST-C lesions.

Bowman's capsule rupture and the Oxford MEST-C score in adult patients with Immunoglobulin a vasculitis nephritis: a single center experience.

OBJECTIVE: Bowman's capsule rupture (BCR) is a glomerular pathological change, but it is still not well recognized in immunoglobulin A vasculitis nephritis (IgAV-N). The Oxford MEST-C score is a classification for IgA nephropathy; however, its clinical correlation and prognostic value in adult patients with IgAV-N are unclear. METHODS: A retrospective study of 145 adult patients with IgAV-N diagnosed by renal biopsy was conducted. Clinical manifestations, pathological changes and the prognosis of IgAV-N patients were compared depending on the presence or absence of BCR, International Study of Kidney Disease in Children (ISKDC) classification and MEST-C score. The primary endpoint events were end-stage renal disease, renal replacement therapy and all-cause death. RESULTS: In total, 51 of 145 (35.17%) patients with IgAV-N presented with BCR. Patients with BCR had more proteinuria, lower serum albumin, and more crescents. Compared with IgAV-N patients with crescents only, 51/100 patients with crescents combined with BCR had a higher proportion of crescents in all glomeruli (15.79% vs. 9.09%; p = 0.003). Patients with higher ISKDC grades had more severe clinical presentation, but it did not reflect the prognosis. However, the MEST-C score not only reflected clinical manifestations but also predicted prognosis (p < 0.05). BCR contributed to the effectiveness of the MEST-C score in predicting the prognosis of IgAV-N (C-index: 0.845 to 0.855). CONCLUSIONS: BCR is associated with clinical manifestations and pathological changes in patients with IgAV-N. The ISKDC classification and MEST-C score are related to the patient's condition, but only the MEST-C score is correlated with the prognosis of patients with IgAV-N, while BCR can improve its predictive ability.

BCR was associated with clinical manifestations and pathological changes in patients with IgAV-N, particularly crescents.The ISKDC classification was related to clinical manifestations of patients with IgAV-N, but it wasn't associated with prognosis.The Oxford MEST-C score was correlated to clinical presentations and prognosis of patients with IgAV-N, while BCR can improve its predictive ability.

Deep learning automation of MEST-C classification in IgA nephropathy.

BACKGROUND: Although the MEST-C classification is among the best prognostic tools in immunoglobulin A nephropathy (IgAN), it has a wide interobserver variability between specialized pathologists and others. Therefore we trained and evaluated a tool using a neural network to automate the MEST-C grading. METHODS: Biopsies of patients with IgAN were divided into three independent groups: the Training cohort (n = 42) to train the network, the Test cohort (n = 66) to compare its pixel segmentation to that made by pathologists and the Application cohort (n = 88) to compare the MEST-C scores computed by the network or by pathologists. RESULTS: In the Test cohort, >73% of pixels were correctly identified by the network as M, E, S or C. In the Application cohort, the neural network area under the receiver operating characteristics curves were 0.88, 0.91, 0.88, 0.94, 0.96, 0.96 and 0.92 to predict M1, E1, S1, T1, T2, C1 and C2, respectively. The kappa coefficients between pathologists and the network assessments were substantial for E, S, T and C scores (kappa scores of 0.68, 0.79, 0.73 and 0.70, respectively) and moderate for M score (kappa score of 0.52). Network S and T scores were associated with the occurrence of the composite survival endpoint (death, dialysis, transplantation or doubling of serum creatinine) [hazard ratios 9.67 (P = .006) and 7.67 (P < .001), respectively]. CONCLUSIONS: This work highlights the possibility of automated recognition and quantification of each element of the MEST-C classification using deep learning methods.