Thu Nguyen Quang, Tien Nguyen Tran Nam, Yen Nguyen Thi Hai, Duong Thuc-Huy, Long Nguyen Phuoc, Nguyen Huy Truong
Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea.
Department of Chemistry, University of Education, Ho Chi Minh City, 700000, Viet Nam.
J Pharm Anal. 2024 Jan;14(1):16-38. doi: 10.1016/j.jpha.2023.09.009. Epub 2023 Sep 22.
The spread of tuberculosis (TB), especially multidrug-resistant TB and extensively drug-resistant TB, has strongly motivated the research and development of new anti-TB drugs. New strategies to facilitate drug combinations, including pharmacokinetics-guided dose optimization and toxicology studies of first- and second-line anti-TB drugs have also been introduced and recommended. Liquid chromatography-mass spectrometry (LC-MS) has arguably become the gold standard in the analysis of both endo- and exo-genous compounds. This technique has been applied successfully not only for therapeutic drug monitoring (TDM) but also for pharmacometabolomics analysis. TDM improves the effectiveness of treatment, reduces adverse drug reactions, and the likelihood of drug resistance development in TB patients by determining dosage regimens that produce concentrations within the therapeutic target window. Based on TDM, the dose would be optimized individually to achieve favorable outcomes. Pharmacometabolomics is essential in generating and validating hypotheses regarding the metabolism of anti-TB drugs, aiding in the discovery of potential biomarkers for TB diagnostics, treatment monitoring, and outcome evaluation. This article highlighted the current progresses in TDM of anti-TB drugs based on LC-MS bioassay in the last two decades. Besides, we discussed the advantages and disadvantages of this technique in practical use. The pressing need for non-invasive sampling approaches and stability studies of anti-TB drugs was highlighted. Lastly, we provided perspectives on the prospects of combining LC-MS-based TDM and pharmacometabolomics with other advanced strategies (pharmacometrics, drug and vaccine developments, machine learning/artificial intelligence, among others) to encapsulate in an all-inclusive approach to improve treatment outcomes of TB patients.
结核病(TB)的传播,尤其是耐多药结核病和广泛耐药结核病的传播,有力地推动了新型抗结核药物的研发。促进药物联合使用的新策略也已被引入并得到推荐,这些策略包括药代动力学指导的剂量优化以及一线和二线抗结核药物的毒理学研究。液相色谱 - 质谱联用(LC - MS)可以说是内外源性化合物分析的金标准。该技术不仅已成功应用于治疗药物监测(TDM),还用于药物代谢组学分析。TDM通过确定能使药物浓度处于治疗目标范围内的给药方案,提高了治疗效果,降低了药物不良反应以及结核病患者产生耐药性的可能性。基于TDM,可以对剂量进行个体化优化以取得良好疗效。药物代谢组学对于生成和验证有关抗结核药物代谢的假设至关重要,有助于发现用于结核病诊断、治疗监测和疗效评估的潜在生物标志物。本文重点介绍了过去二十年来基于LC - MS生物测定法在抗结核药物TDM方面的当前进展。此外,我们还讨论了该技术在实际应用中的优缺点。强调了对抗结核药物进行非侵入性采样方法和稳定性研究的迫切需求。最后,我们展望了将基于LC - MS的TDM和药物代谢组学与其他先进策略(如药物计量学、药物和疫苗研发、机器学习/人工智能等)相结合,以形成一种全面的方法来改善结核病患者治疗效果的前景。