Changes in novel biomarkers of disease activity in juvenile and adult dermatomyositis are sensitive biomarkers of disease course
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Objective: Muscle enzyme levels are insensitive markers of disease activity in juvenile and adult dermatomyositis (DM), especially during the active treatment phase. To improve our ability to monitor DM disease activity longitudinally, especially in the presence of immunomodulating agents, we prospectively evaluated whether interferon (IFN)-dependent peripheral blood gene and chemokine signatures could serve as sensitive and responsive biomarkers for change in disease activity in adult and juvenile DM.

Methods: Peripheral blood and clinical data were collected from 51 patients with juvenile or adult DM prospectively over 2 study visits. We performed disease activity measurements and calculated whole-blood type I IFN gene and chemokine scores. We also measured serum levels of other proinflammatory cytokines, including interleukin-6 (IL-6).

Results: Changes in juvenile and adult DM global disease activity correlated positively and significantly with changes in the type I IFN gene score before adjustment for medication use (r = 0.33, P = 0.023) and with changes in the IFN chemokine score before and after adjustment for medication use (r = 0.53, P < 0.001 and r = 0.50, P < 0.001, respectively). Changes in muscle and extramuscular visual analog scale (VAS) scores correlated positively with changes in IFN gene and chemokine scores (P = 0.002, P < 0.001, P = 0.095, P < 0.001). Serum levels of IL-6, IL-8, and tumor necrosis factor α (TNFα) correlated positively with changes in global, muscle, and extramuscular VAS scores (P < 0.05).

Conclusion: Our findings suggest that changes in type I IFN gene and chemokine scores as well as in levels of IL-6, IL-8, and TNFα may serve as sensitive and responsive longitudinal biomarkers of change in disease activity in juvenile and adult DM, even in the presence of immunomodulating agents.
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基因水平:PCR Array、RT-PCR、PCR、单细胞测序
蛋白水平:MSD、Luminex、CBA、Elispot、Antibody Array、ELISA、Sengenics
细胞水平:细胞染色、细胞分选、细胞培养、细胞功能
组织水平:空间多组学、多重荧光免疫组化、免疫组化、免疫荧光
数据分析:流式数据分析、组化数据分析、多因子数据分析
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