Ermann Joerg, Rao Deepak A, Teslovich Nikola C, Brenner Michael B, Raychaudhuri Soumya
Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Smith Building, 1 Jimmy Fund Way, Boston, MA 02115, USA.
'Division of Genetics, Brigham and Women's Hospital, New Research Building NRB, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
Nat Rev Rheumatol. 2015 Sep;11(9):541-51. doi: 10.1038/nrrheum.2015.71. Epub 2015 Jun 2.
Biomarkers are needed to guide treatment decisions for patients with rheumatic diseases. Although the phenotypic and functional analysis of immune cells is an appealing strategy for understanding immune-mediated disease processes, immune cell profiling currently has no role in clinical rheumatology. New technologies, including mass cytometry, gene expression profiling by RNA sequencing (RNA-seq) and multiplexed functional assays, enable the analysis of immune cell function with unprecedented detail and promise not only a deeper understanding of pathogenesis, but also the discovery of novel biomarkers. The large and complex data sets generated by these technologies--big data--require specialized approaches for analysis and visualization of results. Standardization of assays and definition of the range of normal values are additional challenges when translating these novel approaches into clinical practice. In this Review, we discuss technological advances in the high-dimensional analysis of immune cells and consider how these developments might support the discovery of predictive biomarkers to benefit the practice of rheumatology and improve patient care.
需要生物标志物来指导风湿性疾病患者的治疗决策。尽管免疫细胞的表型和功能分析是理解免疫介导疾病过程的一种有吸引力的策略,但免疫细胞谱分析目前在临床风湿病学中并无作用。包括质谱流式细胞术、RNA测序(RNA-seq)基因表达谱分析和多重功能测定在内的新技术,能够以前所未有的细节分析免疫细胞功能,不仅有望更深入地了解发病机制,还能发现新的生物标志物。这些技术产生的大量复杂数据集——大数据——需要专门的方法来分析和可视化结果。将这些新方法转化为临床实践时,检测标准化和正常数值范围的定义是另外的挑战。在本综述中,我们讨论免疫细胞高维分析的技术进展,并思考这些进展如何支持发现预测性生物标志物,以造福风湿病学实践并改善患者护理。