Nijdam Fleur B, Hof Marieke A J, Blokzijl Hans, Bakker Stephan J L, Hak Eelko, Hopfgartner Gérard, Klont Frank
Unit of PharmacoTherapy, Epidemiology and Economics, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.
Department of Analytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.
Metabolites. 2025 Jan 10;15(1):39. doi: 10.3390/metabo15010039.
: Pharmacogenomics (PGx) has revolutionized personalized medicine, notably by predicting drug responses through the study of the metabolic genotype of drug-metabolizing enzymes. However, these genotypes rely heavily on the availability and completeness of drug metabolism information and do not account for (all) "phenoconversion" factors, like drug-drug interactions and comorbidities. To address these limitations, a more phenotypic approach would be desirable, for which pharmacometabolomics (PMx) could be useful by studying and elucidating drug metabolism in patient samples, such as blood and urine. : This study explored the potential of PMx to analyze real-world drug metabolite profiles of the extensively studied drug cyclosporine (CsA) using 24-h urine samples from 732 kidney and 350 liver transplant recipients included in the TransplantLines Biobank and Cohort Study (NCT identifier NCT03272841). Detected metabolites were matched with existing information on CsA metabolism gathered through a comprehensive literature review, aiming to confirm previously reported metabolites and identify potentially unreported ones. : Our analyses confirmed the urinary presence of CsA and six known metabolites. Additionally, we detected three known metabolites not previously reported in urine and identified one unreported metabolite, potentially suggesting the involvement of glutathione conjugation. Lastly, the observed metabolic patterns showed no notable differences between kidney and liver transplant recipients. : Our findings demonstrate the potential of PMx to enhance the understanding of drug metabolism, even for well-studied compounds such as CsA. Moreover, this study highlights the value of PMx in real-world drug metabolism research and its potential to complement PGx in advancing personalized medicine.
药物基因组学(PGx)彻底改变了个性化医疗,特别是通过研究药物代谢酶的代谢基因型来预测药物反应。然而,这些基因型严重依赖药物代谢信息的可获得性和完整性,并且没有考虑到所有“表型转化”因素,如药物相互作用和合并症。为了解决这些局限性,一种更具表型性的方法将是可取的,药物代谢组学(PMx)通过研究和阐明患者样本(如血液和尿液)中的药物代谢可能会有所帮助。
本研究利用来自移植线生物样本库和队列研究(NCT标识符NCT03272841)的732名肾移植受者和350名肝移植受者的24小时尿液样本,探索了PMx分析广泛研究的药物环孢素(CsA)真实世界药物代谢物谱的潜力。检测到的代谢物与通过全面文献综述收集的关于CsA代谢的现有信息进行匹配,旨在确认先前报道的代谢物并识别潜在未报道的代谢物。
我们的分析证实了尿液中存在CsA和六种已知代谢物。此外,我们检测到三种先前未在尿液中报道的已知代谢物,并鉴定出一种未报道的代谢物,这可能表明谷胱甘肽结合的参与。最后,观察到的代谢模式在肾移植受者和肝移植受者之间没有显著差异。
我们的研究结果表明,即使对于像CsA这样研究充分的化合物,PMx也有增强对药物代谢理解的潜力。此外,本研究强调了PMx在真实世界药物代谢研究中的价值及其在推进个性化医疗中补充PGx的潜力。