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Urine proteins reveal distinct coagulation and complement cascades underlying acute versus chronic lupus nephritis
Ting Zhang, … , Ramesh Saxena, Chandra Mohan
Ting Zhang, … , Ramesh Saxena, Chandra Mohan
Published October 1, 2025
Citation Information: J Clin Invest. 2025;135(19):e186143. https://doi.org/10.1172/JCI186143.
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Research Article Autoimmunity Immunology

Urine proteins reveal distinct coagulation and complement cascades underlying acute versus chronic lupus nephritis

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Abstract

The current gold standard for assessing renal pathology in lupus nephritis (LN) is invasive and cannot be serially repeated. To assess if urine can serve as a liquid biopsy for underlying renal pathology, urine obtained from patients with LN at the time of renal biopsy were interrogated for 1,317 proteins, using an aptamer-based proteomic screen. Levels of 57 urine proteins were significantly elevated and correlated with pathology activity index (AI), notably endocapillary hypercellularity, fibrinoid necrosis, and cellular crescents. These included proteins pertaining to leukocyte/podocyte activation, neutrophil activation, endothelial activation, and markers of inflammation/anti-inflammation. In contrast, complement and coagulation cascade proteins, and proteins related to the extracellular matrix (ECM) emerged as the strongest urinary readouts of concurrent renal pathology chonicity index (CI), notably tubular atrophy and interstitial fibrosis. In vitro mechanistic studies revealed that complement proteins C3a and C5a increased the expression of profibrotic ECM proteins in macrophages and proximal tubule epithelial cells. Thus, carefully assembled panels of urinary proteins that are indicative of high renal pathology AI and/or CI may help monitor the status of renal pathology after therapy in patients with LN, in a noninvasive manner, without the need for repeat renal biopsies.

Authors

Ting Zhang, Jessica Castillo, Anto Sam Crosslee Louis Sam Titus, Kamala Vanarsa, Vedant Sharma, Sohan Kureti, Ramesh Saxena, Chandra Mohan

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Figure 2

Correlation of high-AI urine proteins with renal pathology and clinical parameters.

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Correlation of high-AI urine proteins with renal pathology and clinical ...
(A) A heatmap representation of the 57 significantly upregulated proteins from the aptamer-based screen elevated in individuals with Hi.AI (P < 0.05, Mann-Whitney U test; FC > 2; Spearman’s r > 0.6 with AI). Proteins are clustered hierarchically. Each row represents a study participant. Each column represents a Cr-normalized protein-level expression. Proteins expressed above the mean are shaded red, those comparable to the mean are shaded yellow, and those below the mean are shaded blue. Subject groupings are color coded as indicated. Note: Two patients had high AI and CI (both were classified under “Hi.AI” in this plot). (B) Spearman’s correlation heatmap displaying correlations among the top 57 proteins elevated in participants with Hi.AI and the participants’ clinical metrics as well as their concurrent renal pathology features including CI and its 4 component attributes (glomerulosclerosis, fibrous crescents, tubular atrophy, interstitial fibrosis) and AI and its 6 component attributes (endocapillary hypercellularity, neutrophils/karyorrhexis, hyaline deposits, interstitial inflammation, fibrinoid necrosis, and cellular crescents). *P < 0.05, **P < 0.01, ***P < 0.001, and ****P < 0.0001.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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