Systemic inflammation and B cell indices predict rituximab responses in membranous nephropathy
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Suyan Duan1, Yuyou Ye1, Qian Zhou1
1Department of Nephrology, the First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Background:
Membranous nephropathy (MN) is a frequent cause of nephrotic syndrome in adults with variable response to rituximab (RTX) therapy. While traditional markers like proteinuria and anti-phospholipase A2 receptor (PLA2R) antibodies exhibit predictive value, their limitations necessitate more robust biomarkers.
Methods:
We prospectively analysed 149 MN patients receiving RTX over 12 months. Inflammatory indices such as neutrophil:lymphocyte ratio (NLR), monocyte:lymphocyte ratio (MLR) and systemic inflammation response index (SIRI) together with B cell levels were measured alongside conventional markers at baseline, 3 months and 6 months. Predictive models for 6- and 12-month remission (complete/partial) were developed using multivariate regression and receiver operating characteristics (ROC) analysis.
Results:
Non-responders exhibited persistently elevated inflammatory markers (NLR, MLR, SIRI) throughout the entire observation period. Among the three, only SIRI can independently predict the remission of MN. At 3 months, SIRI ≤1.25 {odds ratio [OR] 3.68 [95% confidence interval (CI) 1.39-9.72]} and B cell proportion ≤0.2% [OR 2.90 (95% CI 1.00-8.35)] independently predicted 6-month response. Incorporating these two newly added indicators into the traditional variable model, which includes the levels of proteinuria, albumin and anti-PLA2R antibody at 3 months, markedly enhances prediction accuracy [area under the curve (AUC) 0.86 versus 0.81]. By 6 months, only SIRI ≤0.9 [OR 4.84 (95% CI 1.43-16.40)] and albumin change [OR 1.11 (95% CI 1.03-1.19)] predicted 12-month prognosis, as B cell and anti-PLA2R antibody levels lost significance. The prediction model incorporating SIRI also had better performance (AUC 0.82 versus 0.79).
Conclusions:
B lymphocyte levels constitute a robust predictive biomarker for assessing short-term therapeutic response in patients with MN receiving RTX therapy. Furthermore, SIRI emerges as a valuable prognostic indicator capable of predicting both short-term efficacy and long-term renal outcomes. These findings suggest that concurrent monitoring of B lymphocyte levels and SIRI values warrants integration into standardized monitoring frameworks within clinical management protocols.
Insights
New biomarkers, including B cell levels and the systemic inflammation response index (SIRI), can predict treatment response in membranous nephropathy patients receiving rituximab therapy. These markers improve prediction accuracy over traditional indicators.
Area of Science:
- Nephrology
- Immunology
- Biomarker Discovery
Background:
- Membranous nephropathy (MN) is a common cause of nephrotic syndrome in adults.
- Rituximab (RTX) therapy response in MN is variable.
- Traditional biomarkers like proteinuria and anti-PLA2R antibodies have limitations for predicting RTX response.
Purpose of the Study:
- To identify robust biomarkers for predicting RTX treatment response in MN patients.
- To evaluate the predictive value of inflammatory indices and B cell levels.
- To develop enhanced prediction models for short-term and long-term remission.
Main Methods:
- Prospective analysis of 149 MN patients receiving RTX over 12 months.
- Measurement of inflammatory indices (NLR, MLR, SIRI) and B cell levels at baseline, 3, and 6 months.
- Development of predictive models using multivariate regression and ROC analysis.
Main Results:
- Persistently elevated inflammatory markers (SIRI) predicted non-response.
- At 3 months, SIRI and B cell proportion independently predicted 6-month response, enhancing traditional models (AUC 0.86 vs 0.81).
- At 6 months, SIRI and albumin change predicted 12-month prognosis, outperforming models without SIRI (AUC 0.82 vs 0.79).
Conclusions:
- B lymphocyte levels are robust predictors of short-term RTX response in MN.
- SIRI is a valuable prognostic indicator for both short-term efficacy and long-term renal outcomes.
- Integrating B cell levels and SIRI monitoring into clinical practice may improve MN management.
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