State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, 100050 Beijing, China.
Department of Pathology and Thoracic Surgery, Linzhou Esophageal Cancer Hospital, 456500 Linzhou, China.
Anal Chem. 2020 Apr 7;92(7):5143-5151. doi: 10.1021/acs.analchem.9b05627. Epub 2020 Mar 16.
2-Hydroxy fatty acids (2-OHFAs) and 3-hydroxy fatty acids (3-OHFAs) with the same carbon backbone are isomers, both of which are closely related to diseases involving fatty acid oxidation disorder. However, the comprehensive profiling of 2- and 3-OHFAs remains an ongoing challenge due to their high structure similarity, few structure-informative product ions, and limited availability of standards. Here, we developed a new strategy to profile and identify 2- and 3-OHFAs according to structure-dependent retention time prediction models using ultraperformance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Both accurate MS and MS/MS spectra were collected for peak annotation by comparison with an in-house database of theoretically possible 2- and 3-OHFAs. The structures were further confirmed by the validated structure-dependent retention time prediction models, taking advantage of the correlation between the retention time, carbon chain length and number of double bonds, as well as the hydroxyl position-induced isomeric retention time shift rule. With the use of this strategy, 18 2-OHFAs and 32 3-OHFAs were identified in the pooled plasma, of which 7 2-OHFAs and 20 3-OHFAs were identified for the first time in this work, furthering our understanding of OHFA metabolism. Subsequent quantitation method was developed by scheduled multiple reaction monitoring (MRM) and then applied to investigate the alteration of 2- and 3-OHFAs in esophageal squamous cell carcinoma (ESCC) patients. Finally, a potential biomarker panel consisting of six OHFAs with good diagnostic performance was achieved. Our study provides a new strategy for isomer identification and analysis, showing great potential for targeted metabolomics in clinical biomarker discovery.
2- 羟基脂肪酸 (2-OHFAs) 和 3- 羟基脂肪酸 (3-OHFAs) 具有相同的碳骨架,互为同分异构体,两者都与涉及脂肪酸氧化障碍的疾病密切相关。然而,由于它们的结构高度相似、缺乏结构信息丰富的产物离子以及标准品的有限可用性,全面分析 2- 和 3-OHFAs 仍然是一个挑战。在这里,我们开发了一种新的策略,根据结构相关保留时间预测模型,使用超高效液相色谱-串联质谱法 (UPLC-MS/MS) 来分析和鉴定 2- 和 3-OHFAs。通过与内部理论上可能的 2- 和 3-OHFAs 数据库进行比较,同时收集精确的 MS 和 MS/MS 谱图,用于峰注释。通过验证的结构相关保留时间预测模型,利用保留时间、碳链长度和双键数量之间的相关性,以及羟基位置诱导的同分异构体保留时间偏移规律,进一步确认了结构。利用这种策略,在混合血浆中鉴定出 18 种 2-OHFAs 和 32 种 3-OHFAs,其中 7 种 2-OHFAs 和 20 种 3-OHFAs是首次在本工作中鉴定出来的,进一步加深了我们对 OHFA 代谢的理解。然后通过预定的多重反应监测 (MRM) 开发了定量方法,接着应用于研究食管鳞状细胞癌 (ESCC) 患者中 2- 和 3-OHFAs 的变化。最后,获得了一个由六个具有良好诊断性能的 OHFA 组成的潜在生物标志物组。我们的研究为异构体的鉴定和分析提供了一种新策略,在临床生物标志物发现的靶向代谢组学中具有很大的潜力。