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Checkpoint Imbalance in Primary Glomerulopathies: Comparative Insights into IgA Nephropathy and Membranoproliferative Glomerulonephritis.

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Cells 📖 저널 OA 100% 2021: 5/5 OA 2022: 6/6 OA 2023: 8/8 OA 2024: 14/14 OA 2025: 93/93 OA 2026: 124/124 OA 2021~2026 2025 Vol.14(19)
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Mertowski S, Mertowska P, Czosnek M, Smarz-Widelska I, Załuska W, Grywalska E

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[INTRODUCTION] Primary glomerulopathies are immune-driven kidney diseases.

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↓ .bib ↓ .ris
APA Mertowski S, Mertowska P, et al. (2025). Checkpoint Imbalance in Primary Glomerulopathies: Comparative Insights into IgA Nephropathy and Membranoproliferative Glomerulonephritis.. Cells, 14(19). https://doi.org/10.3390/cells14191551
MLA Mertowski S, et al.. "Checkpoint Imbalance in Primary Glomerulopathies: Comparative Insights into IgA Nephropathy and Membranoproliferative Glomerulonephritis.." Cells, vol. 14, no. 19, 2025.
PMID 41090779 ↗

Abstract

[INTRODUCTION] Primary glomerulopathies are immune-driven kidney diseases. IgA nephropathy (IgAN) and membranoproliferative glomerulonephritis (MPGN) are prevalent entities with a risk of chronic progression. Immune checkpoints, such as PD-1/PD-L1, CTLA-4/CD86, and CD200R/CD200, regulate activation and tolerance in T, B, and NK cells, and also exist in soluble forms, reflecting systemic immune balance.

[OBJECTIVE] To compare immune checkpoint profiles in IgAN and MPGN versus healthy volunteers (HV) through surface expression, soluble serum levels, and PBMC transcripts, with attention to sex-related differences and diagnostic value assessed by ROC curves.

[MATERIALS AND METHODS] Ninety age-matched subjects were studied: IgAN ( = 30), MPGN ( = 30), HV ( = 30). Flow cytometry evaluated checkpoint expression on CD4+/CD8+ T cells, CD19+ B cells, and NK cells. ELISA quantified sPD-1, sPD-L1, sCTLA-4, sCD86, sCD200, sCD200R; PBMC transcript levels were assessed. Group comparisons, sex stratification, and ROC analyses were performed.

[RESULTS] Lymphocyte distributions were preserved, but IgAN patients showed anemia and impaired renal function, while MPGN patients had greater proteinuria and dyslipidemia. GN patients displayed increased PD-1/PD-L1 and CD200R/CD200, with reduced CTLA-4/CD86, compared to HV. Serum analysis revealed elevated sPD-1, sPD-L1, sCD200, sCD200R and decreased sCTLA-4, sCD86. PBMC transcripts paralleled these trends, with PD-1/PD-L1 mainly increased in MPGN. Sex had minimal impact. ROC analyses showed strong GN vs. HV discrimination by CD19CTLA-4, PD-1/PD-L1, and CD200/CD200R, but limited ability to separate IgAN from MPGN.

[CONCLUSIONS] IgAN and MPGN share a sex-independent checkpoint signature: PD-1/PD-L1 and CD200R/CD200 upregulation with CTLA-4/CD86 downregulation. CD19, CTLA-4, and soluble PD-1/PD-L1/CD200(R) emerge as promising biomarkers requiring further validation.

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