Literature DB >> 28474961

Urine peptidomic biomarkers for diagnosis of patients with systematic lupus erythematosus.

M Pejchinovski1, J Siwy1, W Mullen2, H Mischak1,2, M A Petri3, L C Burkly4, R Wei4.   

Abstract

Background Systematic lupus erythematosus (SLE) is characterized with various complications which can cause serious organ damage in the human body. Despite the significant improvements in disease management of SLE patients, the non-invasive diagnosis is entirely missing. In this study, we used urinary peptidomic biomarkers for early diagnosis of disease onset to improve patient risk stratification, vital for effective drug treatment. Methods Urine samples from patients with SLE, lupus nephritis (LN) and healthy controls (HCs) were analyzed using capillary electrophoresis coupled to mass spectrometry (CE-MS) for state-of-the-art biomarker discovery. Results A biomarker panel made up of 65 urinary peptides was developed that accurately discriminated SLE without renal involvement from HC patients. The performance of the SLE-specific panel was validated in a multicentric independent cohort consisting of patients without SLE but with different renal disease and LN. This resulted in an area under the receiver operating characteristic (ROC) curve (AUC) of 0.80 ( p < 0.0001, 95% confidence interval (CI) 0.65-0.90) corresponding to a sensitivity and a specificity of 83% and 73%, respectively. Based on the end terminal amino acid sequences of the biomarker peptides, an in silico methodology was used to identify the proteases that were up or down-regulated. This identified matrix metalloproteinases (MMPs) as being mainly responsible for the peptides fragmentation. Conclusions A laboratory-based urine test was successfully established for early diagnosis of SLE patients. Our approach determined the activity of several proteases and provided novel molecular information that could potentially influence treatment efficacy.

Entities:  

Keywords:  SLE; protease prediction; urine peptide biomarkers

Mesh:

Substances:

Year:  2017        PMID: 28474961      PMCID: PMC6037307          DOI: 10.1177/0961203317707827

Source DB:  PubMed          Journal:  Lupus        ISSN: 0961-2033            Impact factor:   2.911


  44 in total

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4.  Comprehensive human urine standards for comparability and standardization in clinical proteome analysis.

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10.  Proteomic peptide profiling for preemptive diagnosis of acute graft-versus-host disease after allogeneic stem cell transplantation.

Authors:  E M Weissinger; J Metzger; C Dobbelstein; D Wolff; M Schleuning; Z Kuzmina; H Greinix; A M Dickinson; W Mullen; H Kreipe; I Hamwi; M Morgan; A Krons; I Tchebotarenko; D Ihlenburg-Schwarz; E Dammann; M Collin; S Ehrlich; H Diedrich; M Stadler; M Eder; E Holler; H Mischak; J Krauter; A Ganser
Journal:  Leukemia       Date:  2013-07-11       Impact factor: 11.528

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Review 2.  Design and application of single-cell RNA sequencing to study kidney immune cells in lupus nephritis.

Authors:  Deepak A Rao; Arnon Arazi; David Wofsy; Betty Diamond
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Review 3.  Diagnostic and prognostic tests in systemic lupus erythematosus.

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Review 4.  Current applications of capillary electrophoresis-mass spectrometry for the analysis of biologically important analytes in urine (2017 to mid-2021): A review.

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5.  Urine Proteomics and Renal Single-Cell Transcriptomics Implicate Interleukin-16 in Lupus Nephritis.

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Review 7.  Accelerating Medicines Partnership: Organizational Structure and Preliminary Data From the Phase 1 Studies of Lupus Nephritis.

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Journal:  Arthritis Care Res (Hoboken)       Date:  2020-01-13       Impact factor: 4.794

Review 8.  Emerging Molecular Markers Towards Potential Diagnostic Panels for Lupus.

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9.  Urine inter-alpha-trypsin inhibitor family-related proteins may serve as biomarkers for disease activity of lupus.

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Review 10.  Mining the Biomarker Potential of the Urine Peptidome: From Amino Acids Properties to Proteases.

Authors:  Fábio Trindade; António S Barros; Jéssica Silva; Antonia Vlahou; Inês Falcão-Pires; Sofia Guedes; Carla Vitorino; Rita Ferreira; Adelino Leite-Moreira; Francisco Amado; Rui Vitorino
Journal:  Int J Mol Sci       Date:  2021-05-31       Impact factor: 5.923

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