Literature DB >> 31005900

Molecular signature characterisation of different inflammatory phenotypes of systemic juvenile idiopathic arthritis.

Faekah Gohar1,2, Angela McArdle3, Melissa Jones3, Niamh Callan3, Belinda Hernandez4, Christoph Kessel1, Maria Miranda-Garcia1, Miha Lavric1, Dirk Holzinger1,5, Carolin Pretzer1, Elke Lainka6, Sebastiaan J Vastert7, Sytze de Roock8, Oliver FitzGerald3,9, Stephen R Pennington3, Dirk Foell10.   

Abstract

OBJECTIVES: The International League of Associations for Rheumatology classification criteria define systemic juvenile idiopathic arthritis (SJIA) by the presence of fever, rash and chronic arthritis. Recent initiatives to revise current criteria recognise that a lack of arthritis complicates making the diagnosis early, while later a subgroup of patients develops aggressive joint disease. The proposed biphasic model of SJIA also implies a 'window of opportunity' to abrogate the development of chronic arthritis. We aimed to identify novel SJIA biomarkers during different disease phases.
METHODS: Children with active SJIA were subgrouped clinically as systemic autoinflammatory disease with fever (SJIA syst ) or polyarticular disease (SJIA poly ). A discovery cohort of n=10 patients per SJIA group, plus n=10 with infection, was subjected to unbiased label-free liquid chromatography mass spectrometry (LC-MS/MS) and immunoassay screens. In a separate verification cohort (SJIA syst , n=45; SJIA poly , n=29; infection, n=32), candidate biomarkers were measured by multiple reaction monitoring MS (MRM-MS) and targeted immunoassays.
RESULTS: Signatures differentiating the two phenotypes of SJIA could be identified. LC-MS/MS in the discovery cohort differentiated SJIA syst from SJIA poly well, but less effectively from infection. Targeted MRM verified the discovery data and, combined with targeted immunoassays, correctly identified 91% (SJIA syst vs SJIA poly ) and 77% (SJIA syst vs infection) of all cases.
CONCLUSIONS: Molecular signatures differentiating two phenotypes of SJIA were identified suggesting shifts in underlying immunological processes in this biphasic disease. Biomarker signatures separating SJIA in its initial autoinflammatory phase from the main differential diagnosis (ie, infection) could aid early-stage diagnostic decisions, while markers of a phenotype switch could inform treat-to-target strategies. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  autoinflammation; biomarkers; diagnosis; monitoring; phenotype classification; proteomics

Mesh:

Substances:

Year:  2019        PMID: 31005900     DOI: 10.1136/annrheumdis-2019-215051

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  3 in total

Review 1.  [Still's syndrome-similarities and differences between the juvenile and adult forms].

Authors:  Andrea Regel; Dirk Föll; Martin A Kriegel
Journal:  Z Rheumatol       Date:  2021-11-04       Impact factor: 1.372

2.  Application of systems biology-based in silico tools to optimize treatment strategy identification in Still's disease.

Authors:  Cristina Segú-Vergés; Mireia Coma; Christoph Kessel; Serge Smeets; Dirk Foell; Anna Aldea
Journal:  Arthritis Res Ther       Date:  2021-04-23       Impact factor: 5.156

3.  Immunoprofiling of active and inactive systemic juvenile idiopathic arthritis reveals distinct biomarkers: a single-center study.

Authors:  Heshuang Qu; Erik Sundberg; Cecilia Aulin; Manoj Neog; Karin Palmblad; Anna Carin Horne; Fredrik Granath; Alexandra Ek; Erik Melén; Mia Olsson; Helena Erlandsson Harris
Journal:  Pediatr Rheumatol Online J       Date:  2021-12-28       Impact factor: 3.054

  3 in total

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