Perricone Carlo, Cafaro Giacomo, Pozzolo Roberto Dal, Bruno Lorenza, Sasso Nicole, Cecchetti Roberta, Antonucci Matteo, Topini Fabiana, Bistoni Onelia, Mecocci Patrizia, Gerli Roberto, Bartoloni Elena
Section of Rheumatology, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy.
Section of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy.
Biomedicines. 2025 Apr 16;13(4):967. doi: 10.3390/biomedicines13040967.
Reliable biomarkers are urgently needed to aid in the differential diagnosis, prognosis, disease progression monitoring, and prediction of therapeutic response in patients with systemic sclerosis (SSc). This study aimed to evaluate a panel of potentially pathogenic circulating cytokines and chemokines in a cohort of SSc patients. Serum samples were obtained from 35 SSc patients and 40 age- and sex-matched healthy controls. Twenty-three cytokines/chemokines were quantified using a Luminex multiplex immunoassay (BioRad-BioPlex 200 System-Lumine x-Map technology R&D Systems, USA) following the manufacturer's instructions and customized procedures. Data were acquired using Bioplex manager v 6.1. Data analysis was performed using GraphPad Prism v.8 (GraphPad Software, Inc.), with significance defined as ≤ 0.05. V.8 Levels of TNFRII and MMP-8 were significantly higher in SSc patients compared to healthy controls, while IL-1RII levels were significantly elevated in healthy individuals ( < 0.001 for all comparisons). Patients with elevated ESR at baseline (>30 mm/h) showed higher IL-15 levels ( = 0.019). A strong positive correlation was found between MCP-1 and the modified Rodnan skin score (mRSS) ( = 0.009, r = 0.740), and a moderate correlation between TNFRII and diffusing capacity for carbon monoxide ( = 0.046, r = 0.339). PLS regression identified MMP-8, MCP-1, TNFRII, IL-15, and IL-1RII as key predictors of SSc, with MMP-8 having the strongest influence. The logistic regression model showed high performance (AUC = 0.93, accuracy = 87.5%). TNFRII, MMP-8, and IL-1RII may play a pathogenic role in SSc. TNFRII, in particular, may serve as a biomarker for pulmonary involvement, aligning with its known role in pro-fibrotic pathways. These findings support their utility in diagnosis and disease profiling.
系统性硬化症(SSc)患者迫切需要可靠的生物标志物来辅助鉴别诊断、判断预后、监测疾病进展以及预测治疗反应。本研究旨在评估一组系统性硬化症患者中潜在致病的循环细胞因子和趋化因子。从35例系统性硬化症患者和40例年龄及性别匹配的健康对照者中获取血清样本。按照制造商的说明和定制程序,使用Luminex多重免疫测定法(美国BioRad - BioPlex 200系统 - Luminex - Map技术研发系统)对23种细胞因子/趋化因子进行定量。使用Bioplex manager v 6.1获取数据。使用GraphPad Prism v.8(GraphPad软件公司)进行数据分析,显著性定义为≤0.05。与健康对照相比,系统性硬化症患者中TNFRII和MMP - 8水平显著更高,而健康个体中IL - 1RII水平显著升高(所有比较均P < 0.001)。基线时红细胞沉降率(ESR)升高(>30 mm/h)的患者IL - 15水平更高(P = 0.019)。发现MCP - 1与改良罗德南皮肤评分(mRSS)之间存在强正相关(P = 0.009,r = 0.740),TNFRII与一氧化碳弥散能力之间存在中度相关(P = 0.046,r = 0.339)。偏最小二乘回归确定MMP - 8、MCP - 1、TNFRII、IL - 15和IL - 1RII为系统性硬化症的关键预测因子,其中MMP - 8的影响最强。逻辑回归模型表现良好(AUC = 0.93,准确率 = 87.5%)。TNFRII、MMP - 8和IL - 1RII可能在系统性硬化症中发挥致病作用。特别是TNFRII,可能作为肺部受累的生物标志物,与其在促纤维化途径中的已知作用相符。这些发现支持了它们在诊断和疾病特征分析中的实用性。