Schroeder Arthritis Program, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A1, Canada.
Int J Mol Sci. 2023 Oct 18;24(20):15299. doi: 10.3390/ijms242015299.
Psoriatic arthritis (PsA) is a chronic, systemic, immune-mediated inflammatory disease causing cutaneous and musculoskeletal inflammation that affects 25% of patients with psoriasis. Current methods for evaluating PsA disease activity are not accurate enough for precision medicine. A metabolomics-based approach can elucidate psoriatic disease pathogenesis, providing potential objective biomarkers. With the hypothesis that serum metabolites are associated with skin disease activity, we aimed to identify serum metabolites associated with skin activity in PsA patients. We obtained serum samples from patients with PsA (n = 150) who were classified into mild, moderate and high disease activity groups based on the Psoriasis Area Severity Index. We used solid-phase microextraction (SPME) for sample preparation, followed by data acquisition via an untargeted liquid chromatography-mass spectrometry (LC-MS) approach. Disease activity levels were predicted using identified metabolites and machine learning algorithms. Some metabolites tentatively identified include eicosanoids with anti- or pro-inflammatory properties, like 12-Hydroxyeicosatetraenoic acid, which was previously implicated in joint disease activity in PsA. Other metabolites of interest were associated with dysregulation of fatty acid metabolism and belonged to classes such as bile acids, oxidized phospholipids, and long-chain fatty acids. We have identified potential metabolites associated with skin disease activity in PsA patients.
银屑病关节炎（PsA）是一种慢性、全身性、免疫介导的炎症性疾病，可引起皮肤和肌肉骨骼炎症，影响 25%的银屑病患者。目前评估 PsA 疾病活动度的方法不够准确，无法满足精准医学的要求。基于代谢组学的方法可以阐明银屑病发病机制，提供潜在的客观生物标志物。我们假设血清代谢物与皮肤疾病活动度有关，因此旨在确定与 PsA 患者皮肤活动度相关的血清代谢物。我们从 150 名 PsA 患者中获得了血清样本，这些患者根据银屑病面积严重指数（PASI）分为轻度、中度和高度疾病活动组。我们使用固相微萃取（SPME）进行样品制备，然后通过非靶向液相色谱-质谱（LC-MS）方法进行数据采集。使用鉴定出的代谢物和机器学习算法预测疾病活动水平。一些暂定鉴定的代谢物包括具有抗炎或促炎特性的类二十烷酸，如 12-羟基二十碳四烯酸，先前与 PsA 中的关节疾病活动有关。其他感兴趣的代谢物与脂肪酸代谢失调有关，属于胆汁酸、氧化磷脂和长链脂肪酸等类别。我们已经确定了与 PsA 患者皮肤疾病活动相关的潜在代谢物。
