类风湿性关节炎
精密医学
医学
仿形(计算机编程)
计算生物学
转录组
表型
个性化医疗
生物信息学
计算机科学
免疫学
生物
病理
基因表达
生物化学
基因
操作系统
作者
Kartik Bhamidipati,Kevin Wei
标识
DOI:10.1016/j.berh.2022.101742
摘要
Rheumatoid arthritis is an autoimmune disease that causes significant morbidity. Application of cellular profiling techniques such as single-cell transcriptomics and spatial transcriptomics has uncovered novel pathogenic cell types in RA joint tissues and revealed marked heterogeneity in the cellular composition among RA patients. Together, these insights provide exciting opportunities to translate discoveries into precision medicine in RA. The present review aims to highlight novel insights into RA pathology and discuss key steps needed to translate these discoveries into actionable changes in clinical practice. We review the efforts to identify surrogate biomarkers that could be used to predict RA synovial tissue phenotypes and the corresponding responses to therapy. Finally, we discuss the opportunity to develop novel patient-derived organoid systems as a platform for therapeutic target validation.
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