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Mattias Ohlsson

Mattias Ohlsson

Professor

Mattias Ohlsson

Proteomic data analysis for differential profiling of the autoimmune diseases SLE, RA, SS, and ANCA-associated vasculitis

Author

  • Mattias Ohlsson
  • Thomas Hellmark
  • Anders A. Bengtsson
  • Elke Theander
  • Carl Turesson
  • Cecilia Klint
  • Christer Wingren
  • Anna Isinger Ekstrand

Summary, in English

Early and correct diagnosis of inflammatory rheumatic diseases (IRD) poses a clinical challenge due to the multifaceted nature of symptoms, which also may change over time. The aim of this study was to perform protein expression profiling of four systemic IRDs, systemic lupus erythematosus (SLE), ANCA-associated systemic vasculitis (SV), rheumatoid arthritis (RA), and Sjögren's syndrome (SS), and healthy controls to identify candidate biomarker signatures for differential classification. A total of 316 serum samples collected from patients with SLE, RA, SS, or SV and from healthy controls were analyzed using 394-plex recombinant antibody microarrays. Differential protein expression profiling was examined using Wilcoxon signed rank test, and condensed biomarker panels were identified using advanced bioinformatics and state-of-the art classification algorithms to pinpoint signatures reflecting each disease (raw data set available at https:// figshare.com/s/3bd3848a28ef6e7ae9a9.). In this study, we were able to classify the included individual IRDs with high accuracy, as demonstrated by the ROC area under the curve (ROC AUC) values ranging between 0.96 and 0.80. In addition, the groups of IRDs could be separated from healthy controls at an ROC AUC value of 0.94. Disease-specific candidate biomarker signatures and general autoimmune signature were identified, including several deregulated analytes. This study supports the rationale of using multiplexed affinity-based technologies to reflect the biological complexity of autoimmune diseases. A multiplexed approach for decoding multifactorial complex diseases, such as autoimmune diseases, will play a significant role for future diagnostic purposes, essential to prevent severe organ- and tissue-related damage.

Department/s

  • Computational Biology and Biological Physics
  • eSSENCE: The e-Science Collaboration
  • Autoimmunity and kidney diseases
  • Lund SLE Research Group
  • EpiHealth: Epidemiology for Health
  • Rheumatology
  • Department of Immunotechnology

Publishing year

2021

Language

English

Pages

1252-1260

Publication/Series

Journal of Proteome Research

Volume

20

Issue

2

Document type

Journal article

Publisher

The American Chemical Society (ACS)

Topic

  • Rheumatology and Autoimmunity

Keywords

  • Antibody microarray
  • Autoimmune diseases
  • Proteomics
  • Whole blood

Status

Published

Research group

  • Autoimmunity and kidney diseases
  • Lund SLE Research Group
  • Rheumatology

ISBN/ISSN/Other

  • ISSN: 1535-3893