Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands.
J Neuromuscul Dis. 2017;4(4):327-335. doi: 10.3233/JND-170234.
Inclusion body myositis is a late onset inflammatory myopathy lacking reliable serum biomarkers for diagnosis and for disease progression.
To identify diagnostic and predictive biomarkers, cytokine profiling is used to assess the potential of cytokines to discriminate between cases and controls and to assess whether treatment with methotrexate can influence biomarkers associated with disease progression.
The diagnostic and follow-up potential of 48 cytokines was tested using Bioplex-assay and ELISA in sera of healthy individuals, IBM patients and patients with other neuromuscular disorders.
Ten cytokines (TRAIL, IL-8, MIF, MCP-1, LIF, IP-10, IFN-α2, MIG, bNGF and IL-3) were identified to be good to excellent markers to discern IBM patients from healthy controls. Three cytokines (IP-10, Eotaxin and SDF1A) changed significantly upon methotrexate treatment as compared with the natural clinical course. Muscle strength loss was associated with changes in IL-8 and SDF1A levels. IFN-γ levels were only associated with survival of IBM patients before correction for multiple comparisons.
Cytokine profiling can discriminate IBM patients from healthy controls and other neuromuscular disorders. Immunosuppression with methotrexate affects cytokine levels in IBM. IL-8 and SDF1A could serve as biomarkers for disease progression.
包涵体肌炎是一种迟发性炎症性肌病,缺乏可靠的血清生物标志物用于诊断和疾病进展。
为了确定诊断和预测生物标志物,通过细胞因子谱分析来评估细胞因子区分病例和对照的潜力,并评估甲氨蝶呤治疗是否会影响与疾病进展相关的生物标志物。
使用 Bioplex 分析和 ELISA 检测健康个体、IBM 患者和其他神经肌肉疾病患者血清中的 48 种细胞因子的诊断和随访潜力。
鉴定出 10 种细胞因子(TRAIL、IL-8、MIF、MCP-1、LIF、IP-10、IFN-α2、MIG、bNGF 和 IL-3),它们是区分 IBM 患者和健康对照的良好至优秀标志物。与自然临床病程相比,三种细胞因子(IP-10、Eotaxin 和 SDF1A)在甲氨蝶呤治疗后显著变化。肌肉力量丧失与 IL-8 和 SDF1A 水平的变化相关。IFN-γ 水平仅与 IBM 患者的生存相关,未经多重比较校正。
细胞因子谱分析可区分 IBM 患者与健康对照和其他神经肌肉疾病。甲氨蝶呤的免疫抑制作用影响 IBM 中的细胞因子水平。IL-8 和 SDF1A 可作为疾病进展的生物标志物。