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BD-05 Discovery of SERPINA3 as a candidate urinary biomarker of lupus nephritis chronicity
  1. Jessica L Turnier1,
  2. Hermine I Brunner1,
  3. Michael Bennett2,
  4. Ashwaq Aleed3,
  5. Gaurav Gulati4,
  6. Wendy D Haffey5,
  7. Sherry Thornton1,
  8. Michael Wagner6,
  9. Prasad Devarajan2,
  10. David Witte7,
  11. Kenneth D Greis5 and
  12. Bruce Aronow6
  1. 1Rheumatology, Cincinnati Children’s Hospital Medical Center
  2. 2Nephrology and Hypertension, Cincinnati Children’s Hospital Medical Center
  3. 3Qassim University College of Medicine, Qassim, Saudi Arabia
  4. 4Immunology, Allergy and Rheumatology
  5. 5Cancer Biology, University of Cincinnati College of Medicine
  6. 6Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
  7. 7Pathology and Laboratory Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA


Background Non-invasive biomarkers of lupus nephritis (LN) damage are needed to guide treatment decisions. Urinary proteomics has advanced as a tool for novel biomarker discovery in recent years. Specifically, isobaric tags for relative and absolute quantification (iTRAQ) is an advanced proteomics technique that quantifies and compares protein expression among samples by mass spectrometry in a single experiment. We used an unbiased proteomics approach to identify candidate urine biomarkers (CUBMs) predictive of LN chronicity and further pursued their validation in a larger cohort.

Methods In this cross-sectional pilot study, we selected urine collected at kidney biopsy from 20 children with varying levels of LN damage (discovery cohort) and performed proteomic analysis using iTRAQ. We identified differentially excreted proteins based on degree of LN chronicity and sought to distinguish markers exhibiting different relative expression patterns using hierarchically-clustered log10-normalized relative abundance data with linked and distinct functions by biological network analyses. For each CUBM, we performed specific enzyme-linked immunosorbent assays (ELISAs) on urine from a validation cohort (n=41) and analysis of variance (ANOVA) to detect differences between LN chronicity, with LN activity adjustment. We evaluated for CUBM expression in LN biopsies with immunohistochemistry.

Results iTRAQ detected 112 proteins from urine samples in the discovery cohort, 51 of which were quantifiable in all replicates. Simple ANOVA revealed four differentially expressed, chronicity-correlated proteins (p-values<0.05). Further correlation and network analyses led us to select a total of seven CUBMs for LN chronicity: afamin (AFM), immunoglobulin heavy constant alpha 1 (IGHA1), alpha-1-antichymotrypsin (SERPINA3), transthyretin (TTR), retinol binding protein 4 (RBP4), alpha-1-acid glycoprotein, type 2 (ORM2) and transferrin (TF). In the validation cohort, urine SERPINA3 elevation was strikingly robust with respect to validation in high chronicity LN samples (3.3-fold change, p-value 0.012). Immunohistochemistry further demonstrated SERPINA3 staining in both endothelial and proximal tubular epithelial cells.

Conclusions Using advanced proteomic techniques followed by confirmation using specific ELISAs, we identified SERPINA3, a known inhibitor of neutrophil cathepsin G and angiotensin II production, as a potential urine biomarker to help quantify LN damage. SERPINA3 expression may be a protective mechanism from further kidney damage. Further validation of SERPINA3 as an LN damage biomarker in an independent cohort is needed to determine its ability to guide treatment and predict prognosis.

Acknowledgements This study was supported by grants from the National Institutes of Health [P50 DK 096418, U01 AR065098, T32 AR069512, P30 AR070549] and a Lupus Foundation Career Development Award to Dr. Turnier. Mass spectrometry data were collected on a system funded through an NIH shared instrumentation grant (S10 RR027015–01; KD Greis-PI).

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