Department of Pediatrics (Rheumatology), University of Pittsburgh, Pittsburgh, PA 15224, USA.
Department of Physical Medicine & Rehabilitation, University of Pittsburgh School of Medicine, Pittsburgh, PA 15224, USA.
Int J Mol Sci. 2024 Sep 21;25(18):10134. doi: 10.3390/ijms251810134.
We investigated the ability of a panel of immune-related cytokines and chemokines to predict the disease activity state in localized scleroderma (LS) subjects followed longitudinally. A total of 194 sera samples were obtained from 45 LS subjects with diverse types of LS (40% linear, 20% mixed, 16% craniofacial, 13% generalized, and 11% circumscribed) in our cohort. Cytokines/chemokines that were significantly elevated at the baseline active disease visit compared to the inactive disease state at follow-up were Interferon-Gamma-Inducible Protein (IP)-10 ( < 0.021) and Tumor Necrosis Factor (TNF)-α ( < 0.033). Mixed effect logit modeling identified IP-10 (Odds Ratio (OR) [95% confidence interval] = 2.1 [1.4, 3.2], < 0.001), TNF-α (OR = 1.8 [1.1, 3.0], = 0.016), and Monocyte Chemoattractant Protein (MCP)-1 (OR = 2.0 [1.1, 3.9], = 0.034) as significant predictors of active disease status. These findings support earlier correlations between IP-10 and TNF-α with disease activity parameters in a cross-sectional Luminex™ serological study and may enhance clinical decision-making when disease activity is challenging to assess by clinical examination alone.
我们研究了一组免疫相关细胞因子和趋化因子的能力，以预测在我们的队列中接受纵向随访的局限性硬皮病（LS）患者的疾病活动状态。共从 45 名具有不同类型 LS（40%线状、20%混合性、16%头面部、13%全身性和 11%局限性）的 LS 患者中获得了 194 份血清样本。与后续无活动疾病状态相比，基线活动疾病就诊时显著升高的细胞因子/趋化因子为干扰素γ诱导蛋白（IP）-10（<0.021）和肿瘤坏死因子（TNF）-α（<0.033）。混合效应逻辑回归模型确定 IP-10（优势比（OR）[95%置信区间] = 2.1 [1.4, 3.2]，<0.001）、TNF-α（OR = 1.8 [1.1, 3.0]，= 0.016）和单核细胞趋化蛋白（MCP）-1（OR = 2.0 [1.1, 3.9]，= 0.034）是疾病活动状态的显著预测因子。这些发现支持在横断面 Luminex™血清学研究中 IP-10 和 TNF-α与疾病活动参数之间的早期相关性，并可能增强在仅通过临床检查评估疾病活动存在挑战时的临床决策。
