A T cell gene expression panel for the diagnosis and monitoring of disease activity in patients with systemic lupus erythematosus

详细信息    查看全文

• 作者：Alex ; ros P. Grammatikos ; Vasileios C. Kyttaris ; Katalin Kis-Toth ; Lisa M. Fitzgerald ; Amy Devlin ; Michele D. Finnell ; George C. Tsokos
• 关键词：SLE ; systemic lupus erythematosus ; RA ; rheumatoid arthritis ; SLEDAI ; systemic lupus erythematosus disease activity index ; BILAG ; British Isles lupus assessment group ; qPCR ; real time polymerase chain reaction ; CART ; classification and regression trees ; CMS ; comparative marker selection ; KNN ; k-nearest neighbor algorithm ; PPV ; positive predicted value ; NPV ; negative predictive value ; ANA ; anti-nuclear antibodies ; PGA ; physician global assessment
• 刊名：Clinical Immunology
• 出版年：February, 2014
• 年：2014
• 卷：150
• 期：2
• 页码：192-200
• 全文大小：942 K

文摘

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.