Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda-shi, Chiba, Japan.
Faculty of Pharmacy and Pharmaceutical Sciences, Fukuyama University, Fukuyama-shi, Hiroshima, Japan.
Biomed Chromatogr. 2021 Apr;35(4):e5027. doi: 10.1002/bmc.5027. Epub 2020 Nov 24.
The quantification of the circulating dehydroepiandrosterone sulfate (DHEAS) might be of diagnostic help for several diseases. For the DHEAS quantification, LC/ESI-MS/MS has the advantage of a high specificity compared with immunoassay, whereas LC/ESI-MS/MS has room to improve the analysis throughput. One of the promising solutions to enhance the analysis throughput is sample-multiplexing in the same injection, which can reduce the total LC/ESI-MS/MS run time. In this study, a quadruplex LC/ESI-MS/MS method was developed to quantify DHEAS in four different serum samples in a single run. After the four samples were separately deproteinized and derivatized with one of four Girard reagents (Girard reagent T, P and their isotopologs), the resulting samples were mixed, then injected into the LC/ESI-MS/MS. The applicability and advantage of the developed method were evaluated based on the analysis of nine batches of serum samples from healthy subjects (total 36 samples). The limit of quantitation was 0.050 μg/ml, which was sensitive enough for clinical laboratory use. The method was precise (intra- and inter-assay RSDs ≤ 3.6%), accurate (94.4-108.1%) and robust for the matrix effects. The analysis time was also shortened by about 60% for 36 samples by the introduced method compared with the conventional method.
循环脱氢表雄酮硫酸盐(DHEAS)的定量分析可能对多种疾病的诊断有帮助。与免疫测定相比,LC/ESI-MS/MS 对 DHEAS 的定量分析具有更高的特异性,而 LC/ESI-MS/MS 还有提高分析通量的空间。提高分析通量的一种有前途的解决方案是在同一次注射中进行样品多重化,这可以减少总 LC/ESI-MS/MS 运行时间。在本研究中,开发了一种四重 LC/ESI-MS/MS 方法,可在单次运行中同时定量分析四种不同血清样品中的 DHEAS。将四个样品分别用四种金雀花碱试剂(金雀花碱 T、P 及其同位素标记物)进行蛋白沉淀和衍生化处理后,将得到的样品混合,然后注入 LC/ESI-MS/MS。基于对来自健康受试者的 9 批血清样品(总共 36 个样品)的分析,评估了所开发方法的适用性和优势。定量限为 0.050μg/ml,足以满足临床实验室的需求。该方法具有足够的灵敏度(日内和日间 RSDs≤3.6%)、准确性(94.4-108.1%)和对基质效应的稳健性。与传统方法相比,该方法可将 36 个样品的分析时间缩短约 60%。