Division of Rheumatology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA.
Clin Immunol. 2014 Feb;150(2):192-200. doi: 10.1016/j.clim.2013.12.002. Epub 2013 Dec 16.
Systemic Lupus Erythematosus (SLE) remains a challenging disease to diagnose and follow, as no reliable biomarkers are known to date. We designed a gene expression panel with 40 genes known to play a role in SLE pathogenesis. We found that the combined expression of these genes in SLE T cells can accurately differentiate SLE from healthy individuals and patients with other autoimmune diseases. The accuracy of the test increased further (83%) when only three out of the initial genes (OAS2, CD70 and IL10) were used. A T cell score, calculated from the combined expression levels of these genes, correlated positively with various SLE activity markers in a cross-sectional cohort and in a few patients that were followed prospectively. These data showcase the usefulness of measuring mRNA levels of key molecules in diagnosing and following patients with SLE.
系统性红斑狼疮（SLE）的诊断和随访仍然具有挑战性，因为目前尚无可靠的生物标志物。我们设计了一个包含 40 个已知在 SLE 发病机制中起作用的基因的基因表达谱。我们发现，这些基因在 SLE T 细胞中的联合表达可以准确地区分 SLE 与健康个体和患有其他自身免疫性疾病的患者。当仅使用最初的三个基因（OAS2、CD70 和 IL10）时，该测试的准确性进一步提高（83%）。在一个横断面队列和一些前瞻性随访的患者中，从这些基因的组合表达水平计算得出的 T 细胞评分与各种 SLE 活动标志物呈正相关。这些数据展示了测量关键分子的 mRNA 水平在诊断和随访 SLE 患者中的有用性。
