Interferon inducible chemokines correlate with disease severity in systemic sclerosis.

Liu X, Mayes MD, Tan FK, Wu M, Reveille JD, Harper BE, Draeger HT, Gonzalez EB, Assassi S.
Journal   Arthritis Rheum.
Species  
Analytes Measured   I-TAC , IP-10 , MCP-1
Matrix Tested   Plasma
Year   2012
Volume  
Page Numbers  
Application   Cytokines and Chemokines
Abstract
OBJECTIVE: To measure interferon (IFN) inducible chemokines in plasma of patients with systemic sclerosis (SSc) and investigate their correlation with disease severity.

METHODS: We examined the correlation of IFN-inducible chemokines, IFNγ-inducible protein-10 (IP-10/CXCL10), IFN-inducible T cell alpha chemoattractant (I-TAC/CXCL11), and monocyte chemoattractant protein-1 (MCP-1/CCL2) with the IFN gene expression signature. We generated an IFN-inducible chemokine score with the correlated chemokines, IP-10 and I-TAC and compared it in 266 SSc patients enrolled in the GENISOS cohort to that of 97 matched controls. Subsequently, the correlation between the baseline IFN-inducible chemokine score and markers of disease severity was assessed. Finally, the course of IFN-inducible chemokine score over time was examined.

RESULTS: The plasma IFN-inducible chemokine score correlated with the IFN gene expression signature and this score was higher in SSc patients. It also was associated with the absence of anti-RNA polymerase III antibodies, presence of anti-U1 ribonucleoprotein antibodies (RNP), but not with disease duration, type, or other autoantibodies. The chemokine scores correlated with concomitantly obtained muscle, skin and lung components of the Medsger Severity Index, as well as, FVC, DLco, creatine kinase. Its association with disease severity was independent of anti-RNP or other potential confounders (age, gender, ethnicity, disease duration, and treatment with immunosuppressive agents). Finally, there was not a significant change in the IFN-inducible chemokine score over time.

CONCLUSIONS: The IFN-inducible chemokine score is a stable serological marker of more severe subtype of SSc and may be useful for risk stratification regardless of disease type or duration.

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U-PLEX Custom Biomarker Group 1 (mouse) Assays
6CKine/CCL21, BAFF, BCA-1/BLC, CD40/TNFRSF5, Eotaxin, EPO, GM-CSF, IFN-α, IFN-β, IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17C, IL-17E/IL-25, IL-17F, IL-21, IL-22, IL-23, IL-27p28/IL-30, IL-31, IL-33, IP-10, KC/GRO, MCP-1, MCP-5/CCL12, MDC, MIP-1α, MIP-1β, MIP-2, MIP-3α, MMP-9 (total), NGAL/LCN2, RANTES, SDF-1α, TARC, TNF-α, TNF-RI, VEGF-A | Mouse
Multiplex
U-PLEX CAR-T Cell Efficacy Combo 1 (human)
Granzyme B, IFN-γ, IL-2, IL-6, IL-12p70, IP-10, Perforin, TNF-α | Human
Multiplex
U-PLEX Immuno-Oncology Group 1 (human) 384-well Assays
BAFF-R/TNFRSF13C, BCMA/TNFRSF17, CD20, CD27, CD28, CD40L (soluble), CD276/B7-H3, CTACK, CTLA-4, ENA-78, Eotaxin, Eotaxin-2, Eotaxin-3, EPO, FGF (basic), FLT3L, Fractalkine, G-CSF, GITR/TNFRSF18, GITRL/TNFSF18, GM-CSF, gp130 (soluble), Granzyme A, Granzyme B, GRO-α, HAVCR2/TIM-3, I-309, IFN-α2a, IFN-β, IFN-γ, IL-1α, IL-1β, IL-1RA, IL-2, IL-2Rα, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17C, IL-17D, IL-17E/IL-25, IL-17F, IL-18, IL-21, IL-22, IL-23, IL-27, IL-29/IFN-λ1, IL-31, IL-33, IP-10, I-TAC, LAG3, MCP-1, MCP-2, MCP-4, M-CSF, MDC, MIF, MIP-1α, MIP-1β, MIP-5, OX40/TNFRSF4, PD1 (epitope 1), PD1 (epitope 2), PD-L1 (epitope 1), PD-L2, PlGF, RANKL/TNFSF11, Tie-2, TIGIT, TLR1, TNF-α, TNF-β, TPO, TRAIL, TSLP, VEGF-A, VEGF-D, YKL-40 | Human
Multiplex
U-PLEX Immuno-Oncology Group 1 (human) Assays
APRIL/TNFSF13, BAFF-R/TNFRSF13C, BCMA/TNFRSF17, CD20, CD27, CD28, CD40L (soluble), CD276/B7-H3, CTACK, CTLA-4, ENA-78, Eotaxin, Eotaxin-2, Eotaxin-3, EPO, E-Selectin, FGF (basic), FLT3L, Fractalkine, Galectin-9, G-CSF, GITR/TNFRSF18, GITRL/TNFSF18, GM-CSF, gp130 (soluble), Granzyme A, Granzyme B, GRO-α, HAVCR2/TIM-3, HVEM/TNFRSF14, I-309, ICOS, ICOS-L/B7-H2, IFN-α2a, IFN-β, IFN-γ, IL-1α, IL-1β, IL-1RA, IL-2, IL-2Rα, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17C, IL-17D, IL-17E/IL-25, IL-17F, IL-18, IL-21, IL-22, IL-23, IL-27, IL-29/IFN-λ1, IL-31, IL-33, IP-10, I-TAC, LAG3, LIGHT/TNFSF14, MCP-1, MCP-2, MCP-4, M-CSF, MDC, MIF, MIG, MIP-1α, MIP-1β, MIP-5, MMP-1, MMP-2, MMP-7, MMP-9 (total), Nectin-4, OX40/TNFRSF4, PD1 (epitope 1), PD1 (epitope 2), PD-L1 (epitope 1), PD-L1 (epitope 2), PD-L2, Pentraxin 3, Perforin, PlGF, proMMP-9, P-Selectin, RAGE (soluble), RANKL/TNFSF11, RANTES, S100A12, Tie-2, TIGIT, TLR1, TNF-α, TNF-β, TNF-RI, TNF-RII, TPO, TRAIL, TSLP, VEGF-A, VEGF-D, VEGFR-1/Flt-1, YKL-40 | Human
Multiplex
U-PLEX Immuno-Oncology Group 1 (human) Assays
APRIL/TNFSF13, BAFF-R/TNFRSF13C, BCMA/TNFRSF17, CD20, CD27, CD28, CD40L (soluble), CD276/B7-H3, CTACK, CTLA-4, ENA-78, Eotaxin, Eotaxin-2, Eotaxin-3, EPO, E-Selectin, FGF (basic), FLT3L, Fractalkine, Galectin-9, G-CSF, GITR/TNFRSF18, GITRL/TNFSF18, GM-CSF, gp130 (soluble), Granzyme A, Granzyme B, GRO-α, HAVCR2/TIM-3, HVEM/TNFRSF14, I-309, ICOS, ICOS-L/B7-H2, IFN-α2a, IFN-β, IFN-γ, IL-1α, IL-1β, IL-1RA, IL-2, IL-2Rα, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17C, IL-17D, IL-17E/IL-25, IL-17F, IL-18, IL-21, IL-22, IL-23, IL-27, IL-29/IFN-λ1, IL-31, IL-33, IP-10, I-TAC, LAG3, LIGHT/TNFSF14, MCP-1, MCP-2, MCP-4, M-CSF, MDC, MIF, MIG, MIP-1α, MIP-1β, MIP-5, MMP-1, MMP-2, MMP-7, MMP-9 (total), Nectin-4, OX40/TNFRSF4, PD1 (epitope 1), PD1 (epitope 2), PD-L1 (epitope 1), PD-L1 (epitope 2), PD-L2, Pentraxin 3, Perforin, PlGF, proMMP-9, P-Selectin, RAGE (soluble), RANKL/TNFSF11, RANTES, S100A12, Tie-2, TIGIT, TLR1, TNF-α, TNF-β, TNF-RI, TNF-RII, TPO, TRAIL, TSLP, VEGF-A, VEGF-D, VEGFR-1/Flt-1, YKL-40 | Human
Multiplex
Mouse IP-10 Antibody
IP-10 | Mouse
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