Quantitative planar array screen of 1000 proteins uncovers novel urinary protein biomarkers of lupus nephritis. Issue 10 (10th July 2020)

• Record Type: Journal Article
• Authors: Vanarsa, Kamala; Soomro, Sanam; Zhang, Ting; Strachan, Briony; Pedroza, Claudia; Nidhi, Malavika; Cicalese, Pietro; Gidley, Christopher; Dasari, Shobha; Mohan, Shree; Thai, Nathan; Truong, Van Thi Thanh; Jordan, Nicole; Saxena, Ramesh; Putterman, Chaim; Petri, Michelle; Mohan, Chandra
• Is Part Of: Annals of the rheumatic diseases. Volume 79:Issue 10(2020)
• Page Start: 1349
• Page End: 1361
• Publication Date: 2020-07-10
• Subjects: autoimmunity -- cytokines -- lupus nephritis -- systemic lupus erythematosus; Rheumatism -- Periodicals; 616.723005
• DOI: 10.1136/annrheumdis-2019-216312
• Languages: English
• ISSNs: 0003-4967

Abstract

Abstract : Objective: The goal of these studies is to discover novel urinary biomarkers of lupus nephritis (LN). Methods: Urine from systemic lupus erythematosus (SLE) patients was interrogated for 1000 proteins using a novel, quantitative planar protein microarray. Hits were validated in an independent SLE cohort with inactive, active non-renal (ANR) and active renal (AR) patients, in a cohort with concurrent renal biopsies, and in a longitudinal cohort. Single-cell renal RNA sequencing data from LN kidneys were examined to deduce the cellular origin of each biomarker. Results: Screening of 1000 proteins revealed 64 proteins to be significantly elevated in SLE urine, of which 17 were ELISA validated in independent cohorts. Urine Angptl4 (area under the curve (AUC)=0.96), L-selectin (AUC=0.86), TPP1 (AUC=0.84), transforming growth factor-β1 (TGFβ1) (AUC=0.78), thrombospondin-1 (AUC=0.73), FOLR2 (AUC=0.72), platelet-derived growth factor receptor-β (AUC=0.67) and PRX2 (AUC=0.65) distinguished AR from ANR SLE, outperforming anti-dsDNA, C3 and C4, in terms of specificity, sensitivity and positive predictive value. In multivariate regression analysis, urine Angptl4, L-selectin, TPP1 and TGFβ1 were highly associated with disease activity, even after correction for demographic variables. In SLE patients with serial follow-up, urine L-selectin (followed by urine Angptl4 and TGFβ1) were best at tracking concurrent or pending disease flares. Importantly, several proteins elevated in LN urine were also expressed within the kidneys in LN, either within resident renal cells or infiltrating immune cells, based on single-cell RNA sequencing analysis. Conclusion: Unbiased planar array screening of 1000 proteins has led to the discovery of urine Angptl4, L-selectin and TGFβ1 as potential biomarker candidates for tracking disease activity in LN.