Research Department, Beckman Coulter Life Sciences, Marseille, France.
INSERM UMRs 1097, Aix Marseille University, Marseille, France.
Sci Rep. 2022 Jul 16;12(1):12166. doi: 10.1038/s41598-022-16622-4.
Despite introduction of biological disease modifying anti-rheumatic drugs (DMARDs) for Rheumatoid arthritis (RA) treatment, therapeutic strategies do not always lead to disease control and remission. Hence, a more efficient patient stratification and monitoring biomarkers and tools are needed to enable a more personalized medicine. We used a whole blood based functional flow cytometry assay to characterize immune cells from RA patients (treated or not), healthy donors and psoriatic arthritis (PsA) patients according to their responses to LPS and/or anti-TNFα (infliximab, IFX). Activation marker expression was measured using a 10-color flow cytometry panel following a no-wash protocol. Naïve-to-treatment RA patients had a stronger inflammatory profile in comparison to healthy donors at basal level. Higher expression of activation markers (CD69 and/or CD11b) on NK, B cells and granulocytes and lower expression of the adhesion molecule CD62L were measured on monocytes, granulocytes and B cells. After LPS, naïve RA patients' cells were less capable of regulating CD69, CD11b, CD16 or CD62L showing impaired activation capabilities. Upon LPS and IFX co-incubation, hierarchical clustering analysis showed different profiles between cohorts. We believe that this whole blood-based approach should further be assessed for RA patient characterization as it provides new perspectives for stratification and/or monitoring.
尽管引入了生物性疾病修饰抗风湿药物(DMARDs)来治疗类风湿关节炎(RA),但治疗策略并不总能导致疾病控制和缓解。因此,需要更有效的患者分层和监测生物标志物和工具,以实现更个性化的医疗。我们使用基于全血的功能性流式细胞术测定法,根据对 LPS 和/或抗 TNF-α(英夫利昔单抗,IFX)的反应,对 RA 患者(治疗或未治疗)、健康供体和银屑病关节炎(PsA)患者的免疫细胞进行特征描述。采用 10 色流式细胞术面板,根据无洗涤方案测量激活标志物的表达。与健康供体相比,初治 RA 患者在基础水平上具有更强的炎症特征。在 NK、B 细胞和粒细胞上更高的激活标志物(CD69 和/或 CD11b)表达和单核细胞、粒细胞和 B 细胞上较低的粘附分子 CD62L 表达。在 LPS 后,初治 RA 患者的细胞在调节 CD69、CD11b、CD16 或 CD62L 方面的能力降低,表明激活能力受损。在 LPS 和 IFX 共孵育后,层次聚类分析显示队列之间存在不同的特征。我们认为,这种基于全血的方法应该进一步评估用于 RA 患者的特征描述,因为它为分层和/或监测提供了新的视角。
Clin Exp Rheumatol. 2018-3-16
Rheumatology (Oxford). 2021-3-2
Int J Mol Sci. 2020-10-25
Biomed J. 2021-4
Expert Opin Biol Ther. 2021-1