5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Urine ALCAM, PF4 and VCAM-1 Surpass Conventional Metrics in Identifying Nephritis Disease Activity in Childhood-Onset Systemic Lupus Erythematosus

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objectives

          Serial kidney biopsy for repeat evaluation and monitoring of lupus nephritis (LN) in childhood-onset Systemic Lupus Erythematosus (cSLE) remains challenging, thus non-invasive biomarkers are needed. Here, we evaluate the performance of ten urine protein markers of diverse nature including cytokines, chemokines, and adhesion molecules in distinguishing disease activity in cSLE.

          Methods

          Eighty-four pediatric patients meeting ≥4 ACR criteria for SLE were prospectively enrolled for urine assay of 10 protein markers normalized to urine creatinine, namely ALCAM, cystatin-C, hemopexin, KIM-1, MCP-1, NGAL, PF-4, Timp-1, TWEAK, and VCAM-1 by ELISA. Samples from active renal (LN) and active non-renal SLE patients were obtained prior to onset/escalation of immunosuppression. SLE disease activity was evaluated using SLEDAI-2000. 59 patients had clinically-active SLE (SLEDAI score ≥4 or having a flare), of whom 29 patients (34.5%) were classified as active renal, and 30 patients (35.7%) were active non-renal. Twenty-five healthy subjects were recruited as controls.

          Results

          Urine concentrations of ALCAM, KIM-1, PF4 and VCAM-1 were significantly increased in active LN patients versus active non-renal SLE, inactive SLE and healthy controls. Five urine proteins differed significantly between 2 (hemopexin, NGAL, MCP1) or 3 (Cystatin-C, TWEAK) groups only, with the highest levels detected in active LN patients. Urine ALCAM, VCAM-1, PF4 and hemopexin correlated best with total SLEDAI as well as renal-SLEDAI scores (p < 0.05). Urine ALCAM, VCAM-1 and hemopexin outperformed conventional laboratory measures (anti-dsDNA, complement C3 and C4) in identifying concurrent SLE disease activity among patients (AUCs 0.75, 0.81, 0.81 respectively), while urine ALCAM, VCAM-1 and PF4 were the best discriminators of renal disease activity in cSLE (AUCs 0.83, 0.88, 0.78 respectively), surpassing conventional biomarkers, including proteinuria. Unsupervised Bayesian network analysis based on conditional probabilities re-affirmed urine ALCAM as being most predictive of active LN in cSLE patients.

          Conclusion

          Urinary ALCAM, PF4, and VCAM-1 are potential biomarkers for predicting kidney disease activity in cSLE and hold potential as surrogate markers of nephritis flares in these patients.

          Related collections

          Most cited references59

          • Record: found
          • Abstract: not found
          • Article: not found

          Updating the American college of rheumatology revised criteria for the classification of systemic lupus erythematosus

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Systemic lupus erythematosus disease activity index 2000.

            To describe the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K), a modification of SLEDAI to reflect persistent, active disease in those descriptors that had previously only considered new or recurrent occurrences, and to validate SLEDAI-2K against the original SLEDAI as a predictor for mortality and as a measure of global disease activity in the clinic. All visits in our cohort of 960 patients were used to correlate SLEDAI-2K against the original SLEDAI, and the whole cohort was used to validate SLEDAI-2K as a predictor of mortality. A subgroup of 212 patients with SLE followed at the Lupus Clinic who had 5 regular visits, 3-6 months apart, in 1991-93 was also included. An uninvolved clinician evaluated each patient record and assigned a clinical activity level. The SLEDAI score was calculated from the database according to both the original and modified definitions. SLEDAI-2K correlated highly (r = 0.97) with SLEDAI. Both methods for SLEDAI scoring predicted mortality equally (p = 0.0001), and described similarly the range of disease activity as recognized by the clinician. SLEDAI-2K, which allows for persistent activity in rash, mucous membranes, alopecia, and proteinuria, is suitable for use in clinical trials and studies of prognosis in SLE.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The development and initial validation of the systemic lupus international collaborating clinics/American college of rheumatology damage index for systemic lupus erythematosus

                Bookmark

                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                26 May 2022
                2022
                : 13
                : 885307
                Affiliations
                [1] 1 Rheumatology and Rehabilitation Department, Faculty of Medicine, Minia University , Minia, Egypt
                [2] 2 Department of Biomedical Engineering, University of Houston , Houston TX, United States
                [3] 3 Center for Clinical Research and Evidence-Based Medicine, University of Texas Health Science Center at Houston , Houston, TX, United States
                [4] 4 Pediatric Nephrology, Emory University , Atlanta, GA, United States
                [5] 5 Connecticut Children’s Medical Center, University of Connecticut School of Medicine , Hartford, CT, United States
                [6] 6 Texas Children’s Hospital, Baylor College of Medicine , Houston, TX, United States
                Author notes

                Edited by: Andras Perl, Upstate Medical University, United States

                Reviewed by: Desmond Yat Hin Yap, University of Hong Kong, Hong Kong SAR, China; Beatrice Goilav, Children’s Hospital at Montefiore, United States

                *Correspondence: Chandra Mohan, cmohan@ 123456central.uh.edu ; Scott E. Wenderfer, scott.wenderfer@ 123456cw.bc.ca

                †ORCID: Samar A. Soliman, orcid.org/0000-0003-4638-2158; Larry A. Greenbaum, orcid.org/0000-0002-2490-021X; Faten Ismail, orcid.org/0000-0002-7315-4524; Chandra Mohan, orcid.org/0000-0001-7896-5740; Scott E. Wenderfer, orcid.org/0000-0002-8991-8277; M. John Hicks, orcid.org/0000-0002-1464-3803

                ‡These authors share senior authorship

                This article was submitted to Autoimmune and Autoinflammatory Disorders, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2022.885307
                9204340
                35720325
                71ae17a4-c45a-4155-a0cb-01fd178a90a8
                Copyright © 2022 Soliman, Haque, Vanarsa, Zhang, Ismail, Lee, Pedroza, Greenbaum, Mason, Hicks, Wenderfer and Mohan

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 February 2022
                : 28 April 2022
                Page count
                Figures: 6, Tables: 3, Equations: 0, References: 55, Pages: 11, Words: 6300
                Categories
                Immunology
                Original Research

                Immunology
                alcam,vcam 1,pf4,urine,biomarker,childhood-onset lupus
                Immunology
                alcam, vcam 1, pf4, urine, biomarker, childhood-onset lupus

                Comments

                Comment on this article