2019
DOI: 10.1136/annrheumdis-2019-216059
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Immunome perturbation is present in patients with juvenile idiopathic arthritis who are in remission and will relapse upon anti-TNFα withdrawal

Abstract: ObjectivesBiologics treatment with antitumour necrosis factor alpha (TNFα) is efficacious in patients with juvenile idiopathic arthritis (JIA). Despite displaying clinical inactivity during treatment, many patients will flare on cessation of therapy. The inability to definitively discriminate patients who will relapse or continue to remain in remission after therapy withdrawal is currently a major unmet medical need. CD4 T cells have been implicated in active disease, yet how they contribute to disease persist… Show more

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Cited by 20 publications
(18 citation statements)
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“…CD27, CD276, CTLA4, IL2RG, and SLAMF7 are significantly upregulated in patients with sJIA-related lung diseases, suggesting the activation of T cells [ 112 ]. By the transcriptome analysis of 579 immune genes of T cells, UBE2L3 , IL-6 , STAT4 , TYK2 , TNFAIP3, and PTPN2 were significantly dysregulated in the relapse and remission of JIA cases [ 113 ]. Upregulation of HLA class II and another less-appreciated marker of T-cell activation, CD86, was found in the transcriptome profiling of 92% of JIA samples tested for DNA methylation [ 114 ].…”
Section: Transcriptome Study Of Jiamentioning
confidence: 99%
“…CD27, CD276, CTLA4, IL2RG, and SLAMF7 are significantly upregulated in patients with sJIA-related lung diseases, suggesting the activation of T cells [ 112 ]. By the transcriptome analysis of 579 immune genes of T cells, UBE2L3 , IL-6 , STAT4 , TYK2 , TNFAIP3, and PTPN2 were significantly dysregulated in the relapse and remission of JIA cases [ 113 ]. Upregulation of HLA class II and another less-appreciated marker of T-cell activation, CD86, was found in the transcriptome profiling of 92% of JIA samples tested for DNA methylation [ 114 ].…”
Section: Transcriptome Study Of Jiamentioning
confidence: 99%
“…The difference in the anti-DEK levels between the groups was significant based on samples taken after patients flared, whilst anti-DEK levels at the time of discontinuation could not predict the outcome ( Mor-Vaknin et al, 2018 ). Finally, an increased population frequency of an inflammatory CD4 memory subset (CD3 + CD4 + CD45RA − TNFα + ) predicted relapse at 8 months after discontinuation of biologic therapy (AUC = 0.939) in polyarticular JIA patients with inactive disease prior to treatment cessation ( Leong et al, 2019 ).…”
Section: Various Predictor Biomarkers For Successful Withdrawal Of Bimentioning
confidence: 99%
“…Many studies have used CyTOF to examine the pathogenesis of autoimmune diseases (Table 4). 18,36,[106][107][108][109][110][111] Several researchers focused on the immunome perturbations in patients with rheumatoid arthritis, a chronic autoimmune, inflammatory disease depicted with synovitis in small-and medium-sized joints, 18,[106][107][108][109] exploring both the peripheral blood 18,107 and synovium tissue samples. 106,108 In one study, 106 the investigators examined synovitis of patients with rheumatoid arthritis through a 36-plex CyTOF panel specific to activated T cells.…”
Section: Autoimmune Diseasementioning
confidence: 99%
“…113 Another study, with the aid of CyTOF, interrogated the circulatory reservoir of CD4 + subsets in juvenile idiopathic arthritis patients undergoing TNFalpha therapy withdrawal and found putative subsets prior to withdrawal that discriminated relapse from remission. 111 Researchers have also provided comprehensive overview of distinct immune signatures in multiple autoimmune conditions, including psoriasis, [114][115][116] neuroinflammation, 117 and multiple sclerosis. 118 Together, these results provided a strong foundation for CyTOF studies with increased dimensionality to characterize central immune mediators in various autoimmune disorders.…”
Section: Autoimmune Diseasementioning
confidence: 99%
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