TY - JOUR
T1 - Molecular signature characterisation of different inflammatory phenotypes of systemic juvenile idiopathic arthritis
AU - Gohar, Faekah
AU - Mcardle, Angela
AU - Jones, Melissa
AU - Callan, Niamh
AU - Hernandez, Belinda
AU - Kessel, Christoph
AU - Miranda-Garcia, Maria
AU - Lavric, Miha
AU - Holzinger, Dirk
AU - Pretzer, Carolin
AU - Lainka, Elke
AU - Vastert, Sebastiaan J.
AU - De Roock, Sytze
AU - Fitzgerald, Oliver
AU - Pennington, Stephen R.
AU - Foell, Dirk
N1 - © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2019/8/1
Y1 - 2019/8/1
N2 - 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.
AB - 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.
KW - autoinflammation
KW - biomarkers
KW - diagnosis
KW - monitoring
KW - phenotype classification
KW - proteomics
UR - http://www.scopus.com/inward/record.url?scp=85064616019&partnerID=8YFLogxK
U2 - 10.1136/annrheumdis-2019-215051
DO - 10.1136/annrheumdis-2019-215051
M3 - Article
C2 - 31005900
AN - SCOPUS:85064616019
SN - 0003-4967
VL - 78
SP - 1107
EP - 1113
JO - Annals of the Rheumatic Diseases
JF - Annals of the Rheumatic Diseases
IS - 8
ER -