Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre and Department of Rheumatology, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, Birmingham, UK.
RMD Open. 2022 May;8(1). doi: 10.1136/rmdopen-2021-002119.
Given the similarity in symptoms between primary Sjogren's syndrome (SjS) and non-SjS sicca syndrome (sicca), we sought to characterise clinical and proteomic predictors of symptoms in both groups in order to better understand disease mechanisms and help guide development of immunomodulatory treatments. These have not, to date, unequivocally improved symptoms in SjS clinical trials.
Serum proteomics was performed using O-link inflammation and cardiovascular II panels. SjS (n=53) fulfilled 2016 ACR/European Alliance of Associations for Rheumatology (EULAR) criteria whereas sicca (n=60) were anti-Ro negative, displayed objective or subjective dryness, and either had a negative salivary gland biopsy or, in the absence of a biopsy, it was considered that a biopsy result would not change classification status. Linear regression analysis was performed to identify the key predictors of symptoms. Cluster analysis was completed using protein expression values.
EULAR-Sjögren's-Syndrome-Patient-Reported-Index (ESSPRI), EuroQoL-5 Dimension utility values, and anxiety and depression did not differ between SjS and sicca. Correlations between body mass index (BMI) and ESSPRI were found in sicca and to a lesser extent in SjS. Twenty proteins positively associated with symptoms in sicca but none in SjS. We identified two proteomically defined subgroups in sicca and two in SjS that differed in symptom burden. Within hierarchical clustering of the SjS and sicca pool, the highest symptom burden groups were the least distinct. Levels of adrenomedullin (ADM), soluble CD40 (CD40) and spondin 2 (SPON2) together explained 51% of symptom variability in sicca. ADM was strongly correlated with ESSPRI (spearman's r=0.62; p<0.0001), even in a multivariate model corrected for BMI, age, objective dryness, depression and anxiety scores.
Obesity-related metabolic factors may regulate symptoms in sicca. Further work should explore non-inflammatory drivers of high symptom burden in SjS to improve clinical trial outcomes.
原发性干燥综合征(SjS)和非 SjS 干燥综合征(干燥)的症状相似,我们试图描述两组症状的临床和蛋白质组学预测因素,以便更好地了解疾病机制,并帮助指导免疫调节治疗的发展。迄今为止,这些治疗方法在 SjS 临床试验中并没有明确改善症状。
使用 O 连接炎症和心血管 II 面板进行血清蛋白质组学分析。SjS(n=53)符合 2016 年 ACR/欧洲抗风湿病联盟(EULAR)标准,而干燥(n=60)抗 Ro 阴性,表现出客观或主观干燥,或唾液腺活检阴性,或在没有活检的情况下,认为活检结果不会改变分类状态。采用线性回归分析确定症状的关键预测因素。使用蛋白质表达值进行聚类分析。
EULAR-干燥综合征患者报告指数(ESSPRI)、欧洲五维健康量表效用值以及焦虑和抑郁在 SjS 和干燥之间没有差异。在干燥中发现体重指数(BMI)与 ESSPRI 之间存在相关性,而在 SjS 中相关性较弱。20 种蛋白质与干燥的症状呈正相关,但在 SjS 中则没有。我们在干燥中鉴定了两个蛋白质定义的亚组,在 SjS 中鉴定了两个亚组,这两个亚组在症状负担方面存在差异。在 SjS 和干燥池的层次聚类中,症状负担最高的组最不明显。肾上腺髓质素(ADM)、可溶性 CD40(CD40)和 Spondin 2(SPON2)的水平共同解释了干燥中 51%的症状变异性。ADM 与 ESSPRI 呈强相关性(spearman 相关系数 r=0.62;p<0.0001),即使在多元模型中校正了 BMI、年龄、客观干燥、抑郁和焦虑评分。
肥胖相关的代谢因素可能调节干燥的症状。进一步的工作应该探索 SjS 中高症状负担的非炎症驱动因素,以改善临床试验结果。