Urinary biomarkers for active Lupus Nephritis that have survived independent validation across cohorts.

Kidney Int

Biomedical Engineering Department, University of Houston, Houston, Texas, USA. Electronic address:

Published: December 2024

AI Article Synopsis

  • Many biomarkers for lupus nephritis have not been validated across different studies, but identifying urinary biomarkers that can differentiate active lupus nephritis from inactive disease is clinically important.* -
  • The review assessed 40 studies involving 3,411 patients and identified 32 candidate urinary biomarkers, with 14 of them validated in multiple papers and showing strong diagnostic potential.* -
  • These urinary biomarkers can not only assist in diagnosis and monitoring of active lupus nephritis but also provide insights into the underlying kidney processes, suggesting that advancements in proteomics will enhance our understanding even further.*

Article Abstract

Most reported biomarkers for lupus nephritis (LN) have not been independently validated across cohorts. Moreover, many of the documented biomarker candidates have been reported to be elevated in LN compared to healthy controls. However, biomarkers that distinguish patients with active LN (ALN) from inactive systemic lupus erythematosus (iSLE) hold significant clinical utility. Hence, our review attempts to identify urine protein biomarkers for LN that have been independently validated across two or more cohorts and exhibit good diagnostic potential for distinguishing ALN from iSLE. PubMed and OVID were screened for studies assessing the diagnostic value of urinary biomarkers in patients with ALN compared to iSLE. Forty peer-reviewed articles were evaluated, encompassing urine biomarker data from 3,411 distinct patients. Of the 32 candidate biomarkers identified, fourteen were repeatedly reported/tested in four or more papers each, namely ALCAM, CCL2 (MCP1), CD163, HAVCR1 (KIM-1), HPGDS, ICAM-1 (CD54), ICAM-2 (CD102), IGFBP-2, LCN2, NCAM-1 (CD56), SELE (E-Selectin), SELL (L-Selectin), TNFSF12 (TWEAK), and VCAM-1, with most exhibiting C-statistics of 0.80 or more across multiple studies when discriminating patients with ALN from iSLE. The 32 reproducibly elevated biomarkers for active LN mapped to nine functional categories. The urinary proteins reported here promise to serve as a liquid biopsy for ALN. Besides representing potential candidates for diagnostic, monitoring, predictive, and prognostic biomarkers in LN, they also provide a window into potential molecular processes within the kidney that may be driving LN. Thus, ongoing advances in proteomics, which offer wider proteome coverage at increased sensitivity, are likely to further reshape our perspective of urinary biomarkers for LN.

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http://dx.doi.org/10.1016/j.kint.2024.09.007DOI Listing

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