Department of Dermatology (Dermatology Hospital), Xiangya Hospital, Central South University, Changsha, China; Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
BGI Group, Shenzhen, China.
J Allergy Clin Immunol. 2024 Aug;154(2):412-423. doi: 10.1016/j.jaci.2024.01.032. Epub 2024 Apr 9.
Population-based studies have highlighted the link between chronic urticaria (CU) and metabolic syndrome, and metabolic alterations have been revealed in CU. However, to our knowledge, a comprehensive metabolomics study on a large cohort of patients with CU has not been reported.
We sought to explore the underlying metabolic subtypes and novel metabolite biomarkers for CU diagnosis and therapy.
Plasma samples from 80 patients with CU and 82 healthy controls were collected for metabolomics quantification and bioinformatics analysis. Another independent cohort consisting of 144 patients with CU was studied to validate the findings. Bone marrow-derived mast cells and mice with IgE-induced passive cutaneous anaphylaxis were used for in vitro and in vivo experiments, respectively.
We observed clear metabolome differences between CU patients and healthy controls. Meanwhile, differential metabolites N-acetyl-l-lysine, l-aspartate, maleic acid, and pyruvic acid were used to construct random forest classifiers and achieved area under receiver operating characteristic curve values greater than 0.85, suggesting their potential as diagnostic biomarkers of CU. More importantly, by exploring the underlying metabolic subtypes of CU, we found that the low abundance of pyruvic acid and maleic acid was significantly related to the activity of CU, poor efficacy of second-generation H antihistamines, and short relapse-free time. The results were validated in the independent cohort. Moreover, supplementation with pyruvate or maleate could significantly attenuate IgE-mediated mast cell activation in vitro and in vivo.
Plasma pyruvic acid and maleic acid may be effective biomarkers for predicting disease activity, therapeutic efficacy, and prognosis for patients with CU.
基于人群的研究强调了慢性荨麻疹(CU)与代谢综合征之间的联系,并且在 CU 中已经揭示了代谢改变。但是,据我们所知,尚未有针对大量 CU 患者的综合代谢组学研究报告。
我们旨在探索 CU 诊断和治疗的潜在代谢亚型和新型代谢物生物标志物。
收集 80 例 CU 患者和 82 例健康对照者的血浆样本进行代谢组学定量和生物信息学分析。另一个由 144 例 CU 患者组成的独立队列用于验证研究结果。骨髓来源的肥大细胞和 IgE 诱导的被动皮肤过敏反应小鼠分别用于体外和体内实验。
我们观察到 CU 患者和健康对照者之间存在明显的代谢组差异。同时,使用差异代谢物 N-乙酰-l-赖氨酸、l-天冬氨酸、马来酸和丙酮酸构建随机森林分类器,其获得的受试者工作特征曲线下面积大于 0.85,提示它们可能是 CU 的潜在诊断生物标志物。更重要的是,通过探索 CU 的潜在代谢亚型,我们发现丙酮酸和马来酸的低丰度与 CU 的活性、第二代 H1 抗组胺药的疗效差以及无复发时间短显著相关。该结果在独立队列中得到验证。此外,补充丙酮酸或马来酸可显著减轻 IgE 介导的肥大细胞体外和体内激活。
血浆丙酮酸和马来酸可能是预测 CU 患者疾病活动、治疗效果和预后的有效生物标志物。