INSERM, Neurocentre Magendie, University of Bordeaux, U1215, F-33000 Bordeaux, France.
Biomolecules. 2023 Feb 17;13(2):383. doi: 10.3390/biom13020383.
The emergence of metabolomics and quantification approaches is revealing new biomarkers applied to drug discovery. In this context, tandem mass spectrometry is the method of choice, requiring a specific validation process for preclinical and clinical applications. Research on the two classes of lipid mediators, steroids and cannabinoids, has revealed a potential interaction in cannabis addiction and metabolism-related disorders. Here we present the development of GC-MS/MS and LC-MS/MS methods for routine quantification of targeted steroids and cannabinoids, respectively. The methods were developed using an isotopic approach, including validation for linearity, selectivity, LLOQ determination, matrix effect, carryover, between- and within-run accuracy and precision, and stability tests to measure 11 steroids and seven cannabinoids in human plasma. These methods were satisfactory for most validity conditions, although not all met the acceptance criteria for all analytes. A comparison of calibration curves in biological and surrogate matrices and in methanol showed that the latter condition was more applicable for our quantification of endogenous compounds. In conclusion, the validation of our methods met the criteria for GLP-qualified rather than GLP-validated methods, which can be used for routine analytical studies for dedicated preclinical and clinical purposes, by combining appropriate system suitability testing, including quality controls in the biological matrix.
代谢组学和定量方法的出现揭示了应用于药物发现的新生物标志物。在这种情况下,串联质谱是首选的方法,需要针对临床前和临床应用进行特定的验证过程。对两类脂质介质(甾体和大麻素)的研究揭示了大麻成瘾和代谢相关疾病之间的潜在相互作用。在这里,我们分别介绍了 GC-MS/MS 和 LC-MS/MS 方法的开发,用于常规定量靶向甾体和大麻素。该方法使用同位素方法开发,包括线性、选择性、LLOQ 确定、基质效应、交叉污染、批内和批间精密度和准确度以及稳定性测试,以测量人血浆中的 11 种甾体和 7 种大麻素。这些方法在大多数有效性条件下是令人满意的,尽管并非所有方法都符合所有分析物的验收标准。在生物和替代基质与甲醇中的校准曲线比较表明,对于我们内源性化合物的定量,后者条件更适用。总之,我们的方法验证符合 GLP 合格而非 GLP 验证方法的标准,这些方法可用于专门的临床前和临床目的的常规分析研究,通过结合适当的系统适用性测试,包括生物基质中的质量控制。