Metabolomics Platform, Berlin Institute of Health (BIH) @ Charité, Berlin, Germany, Lindenberger Weg 80, Käthe Beutler Haus (KBH), 13125, Berlin, Germany; Max-Delbrück-Center Max-Delbrück-Center (MDC) for Molecular Medicine in the Helmholtz Association, Robert Rössle Strasse 10, House 64, Berlin, 13125, Germany.
Metabolomics Platform, Berlin Institute of Health (BIH) @ Charité, Berlin, Germany, Lindenberger Weg 80, Käthe Beutler Haus (KBH), 13125, Berlin, Germany; Max-Delbrück-Center Max-Delbrück-Center (MDC) for Molecular Medicine in the Helmholtz Association, Robert Rössle Strasse 10, House 64, Berlin, 13125, Germany.
Talanta. 2022 May 15;242:123298. doi: 10.1016/j.talanta.2022.123298. Epub 2022 Feb 9.
Recently, there has been growing interest in short-chain fatty acids (SCFA) and ketone bodies (KB) due to their potential use as biomarkers of health and disease. For instance, these diet-related metabolites can be used to monitor and reduce the risk of immune response, diabetes, or cardiovascular diseases. Given the interest in these metabolites, different targeted metabolomic methods based on UPLC-MS/MS have been developed in recent years to detect and quantify SCFA and KB. In this case study, we discovered that applying an existing validated, targeted UPLC-MS/MS method to mouse plasma, resulted in a fragment ion (194 m/z) being originally misidentified as acetic acid (a SCFA), when its original source was 3-hydroxybutyric acid (a KB). Therefore, we report a modified, optimized LC method that can separate both signals. In addition, the metabolite coverage was expanded in this method to detect up to eight SCFA: acetic, propanoic, butyric, isobutyric, 2-methylbutyric, valeric, isovaleric, and hexanoic acids, two KB: 3-hydroxybutyric, and acetoacetic acids, and one related metabolite: 3-hydroxy-3-methylbutyric acid. The optimization of this method increased the selectivity of the UPLC-MS/MS method towards the misidentified compound. These findings encourage the scientific community to increase efforts in validating the original precursor of small molecule fragments in targeted methods.
近年来,由于短链脂肪酸 (SCFA) 和酮体 (KB) 可能作为健康和疾病的生物标志物而备受关注。例如,这些与饮食相关的代谢物可用于监测和降低免疫反应、糖尿病或心血管疾病的风险。鉴于对这些代谢物的兴趣,近年来已经开发出了基于 UPLC-MS/MS 的不同靶向代谢组学方法来检测和定量 SCFA 和 KB。在本案例研究中,我们发现,将现有的经过验证的靶向 UPLC-MS/MS 方法应用于小鼠血浆,导致原本被鉴定为乙酸 (一种 SCFA) 的碎片离子 (194 m/z) 实际上是 3-羟基丁酸 (一种 KB)。因此,我们报告了一种经过修改和优化的 LC 方法,可以分离这两个信号。此外,该方法还扩展了代谢物的覆盖范围,可检测多达 8 种 SCFA:乙酸、丙酸、丁酸、异丁酸、2-甲基丁酸、戊酸、异戊酸和己酸,2 种 KB:3-羟基丁酸和乙酰乙酸,以及一种相关代谢物:3-羟基-3-甲基丁酸。该方法的优化提高了 UPLC-MS/MS 方法对被错误鉴定化合物的选择性。这些发现鼓励科学界加大力度验证靶向方法中小分子片段的原始前体。