Luo Xialin, Tian Jiaqi, Li Qing, Jin Zhonggan, Fan Xiaoyu, Zhang Hong, Lv Haitao, Ju Yi
Shanghai Center for Clinical Laboratory, Shanghai, PR China.
School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province, PR China.
J Chromatogr A. 2025 Jan 25;1741:465619. doi: 10.1016/j.chroma.2024.465619. Epub 2024 Dec 20.
Kawasaki disease (KD) has emerged as the leading cause of acquired heart disease in children, primarily due to the absence of highly sensitive and specific biomarkers for early and accurate diagnosis. To address this issue, a simple and comprehensive targeted metabolomics method employing ultra high-performance liquid chromatography coupled with Q-TRAP mass spectrometry has been developed to identify new metabolite biomarkers for KD. This method enables the simultaneous quantification of 276 metabolites, covering 60 metabolic pathways, with a particular emphasis on metabolites relevant to KD. The use of nine ISs and commercial quality control samples significantly enhances both accuracy and precision. Through validation and application to serum samples from patients with KD, seventeen differential serum metabolites were identified. The altered metabolites are primarily associated with three functional metabolic pathways: tricarboxylic acid cycle, tryptophan metabolism, and bile acid metabolism, all of which are believed to be involved in the inflammatory and immune responses in KD patients. Ultimately, eight differential metabolites (indole-3-propionic acid, thiamine, indolepyruvic acid, levodopa, l-selenomethionine, isocitric acid, trans-aconitate, and N-acetylasparagine) were identified that could potentially serve as diagnostic biomarkers with the area under the curve values exceeding 0.9. Our targeted metabolomics approach demonstrates applicability in identifying potential metabolite biomarkers for KD and holds great promise in unraveling the intricate pathophysiology of the disease.
川崎病(KD)已成为儿童后天性心脏病的主要病因,主要原因是缺乏用于早期准确诊断的高灵敏度和特异性生物标志物。为解决这一问题,已开发出一种简单且全面的靶向代谢组学方法,该方法采用超高效液相色谱与Q-TRAP质谱联用,以识别KD的新代谢物生物标志物。该方法能够同时定量276种代谢物,涵盖60条代谢途径,特别关注与KD相关的代谢物。使用9种内标物和商业质量控制样品可显著提高准确性和精密度。通过对KD患者血清样本的验证和应用,鉴定出17种差异血清代谢物。这些改变的代谢物主要与三条功能性代谢途径相关:三羧酸循环、色氨酸代谢和胆汁酸代谢,所有这些都被认为参与了KD患者的炎症和免疫反应。最终,鉴定出8种差异代谢物(吲哚-3-丙酸、硫胺素、吲哚丙酮酸、左旋多巴、L-硒代蛋氨酸、异柠檬酸、反乌头酸和N-乙酰天门冬酰胺),它们有可能作为诊断生物标志物,曲线下面积值超过0.9。我们的靶向代谢组学方法证明了其在识别KD潜在代谢物生物标志物方面的适用性,并在揭示该疾病复杂的病理生理学方面具有巨大潜力。