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本文引用的文献

1
Pharmacodynamics and Bactericidal Activity of Bedaquiline in Pulmonary Tuberculosis.贝达喹啉治疗肺结核的药效学和杀菌活性。
Antimicrob Agents Chemother. 2022 Feb 15;66(2):e0163621. doi: 10.1128/AAC.01636-21. Epub 2021 Dec 6.
2
The pipeline of new molecules and regimens against drug-resistant tuberculosis.针对耐药结核病的新分子和治疗方案研发流程
J Clin Tuberc Other Mycobact Dis. 2021 Nov 5;25:100285. doi: 10.1016/j.jctube.2021.100285. eCollection 2021 Dec.
3
Building Optimal Three-Drug Combination Chemotherapy Regimens To Eradicate Mycobacterium tuberculosis in Its Slow-Growth Acid Phase.构建最优三药联合化疗方案以消除结核分枝杆菌的慢生长酸性相。
Antimicrob Agents Chemother. 2021 Sep 17;65(10):e0069321. doi: 10.1128/AAC.00693-21. Epub 2021 Aug 2.
4
Lesion Penetration and Activity Limit the Utility of Second-Line Injectable Agents in Pulmonary Tuberculosis.病变穿透和活动度限制了二线注射用药物在肺结核中的应用。
Antimicrob Agents Chemother. 2021 Sep 17;65(10):e0050621. doi: 10.1128/AAC.00506-21. Epub 2021 Jul 12.
5
Four-Month Rifapentine Regimens with or without Moxifloxacin for Tuberculosis.利福喷丁四个月方案联合或不联合莫西沙星治疗结核病。
N Engl J Med. 2021 May 6;384(18):1705-1718. doi: 10.1056/NEJMoa2033400.
6
Optimising pyrazinamide for the treatment of tuberculosis.优化吡嗪酰胺治疗结核病。
Eur Respir J. 2021 Jul 20;58(1). doi: 10.1183/13993003.02013-2020. Print 2021 Jul.
7
Pretomanid dose selection for pulmonary tuberculosis: An application of multi-objective optimization to dosage regimen design.帕利司他剂量选择治疗肺结核:多目标优化在剂量方案设计中的应用。
CPT Pharmacometrics Syst Pharmacol. 2021 Mar;10(3):211-219. doi: 10.1002/psp4.12591. Epub 2021 Feb 13.
8
The Funnel: a Screening Technique for Identifying Optimal Two-Drug Combination Chemotherapy Regimens.漏斗图:一种筛选最佳两药联合化疗方案的技术。
Antimicrob Agents Chemother. 2021 Jan 20;65(2). doi: 10.1128/AAC.02172-20.
9
Pairwise Stimulations of Pathogen-Sensing Pathways Predict Immune Responses to Multi-adjuvant Combinations.病原体感应途径的成对刺激可预测多佐剂组合的免疫反应。
Cell Syst. 2020 Nov 18;11(5):495-508.e10. doi: 10.1016/j.cels.2020.10.001. Epub 2020 Oct 27.
10
Building Optimal Three-Drug Combination Chemotherapy Regimens.构建最佳三药联合化疗方案。
Antimicrob Agents Chemother. 2020 Oct 20;64(11). doi: 10.1128/AAC.01610-20.

肺结核联合用药方案的药效学和杀菌活性:贝达喹啉-普托马尼-吡嗪酰胺的应用

Pharmacodynamics and Bactericidal Activity of Combination Regimens in Pulmonary Tuberculosis: Application to Bedaquiline-Pretomanid-Pyrazinamide.

机构信息

Mycobacteria Research Laboratories, Department of Microbiology, Immunology, and Pathology, Colorado State Universitygrid.47894.36, Fort Collins, Colorado, USA.

出版信息

Antimicrob Agents Chemother. 2022 Dec 20;66(12):e0089822. doi: 10.1128/aac.00898-22. Epub 2022 Nov 15.

DOI:10.1128/aac.00898-22
PMID:36377952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9765268/
Abstract

A critical barrier to codevelopment of tuberculosis (TB) regimens is a limited ability to identify optimal drug and dose combinations in early-phase clinical testing. While pharmacokinetic-pharmacodynamic (PKPD) target attainment is the primary tool for exposure-response optimization of TB drugs, the PD target is a static index that does not distinguish individual drug contributions to the efficacy of a multidrug combination. A PKPD model of bedaquiline-pretomanid-pyrazinamide (BPaZ) for the treatment of pulmonary TB was developed as part of a dynamic exposure-response approach to regimen development. The model describes a time course relationship between the drug concentrations in plasma and their individual as well as their combined effect on sputum bacillary load assessed by solid culture CFU counts and liquid culture time to positivity (TTP). The model parameters were estimated using data from the phase 2A studies NC-001-(J-M-Pa-Z) and NC-003-(C-J-Pa-Z). The results included a characterization of BPaZ activity as the most and least sensitive to changes in pyrazinamide and bedaquiline exposures, respectively, with antagonistic activity of BPa compensated by synergistic activity of BZ and PaZ. Simulations of the NC-003 study population with once-daily bedaquiline at 200 mg, pretomanid at 200 mg, and pyrazinamide at 1,500 mg showed BPaZ would require 3 months to attain liquid culture negativity in 90% of participants. These results for BPaZ were intended to be an example application with the general approach aimed at entirely novel drug combinations from a growing pipeline of new and repurposed TB drugs.

摘要

结核(TB)方案共同开发的一个关键障碍是,在早期临床测试中,识别最佳药物和剂量组合的能力有限。虽然药代动力学-药效学(PKPD)目标达成是优化 TB 药物暴露反应的主要工具,但 PD 目标是一个静态指标,无法区分单个药物对多药联合疗效的贡献。作为一种针对方案开发的动态暴露反应方法的一部分,开发了贝达喹啉-pretomanid-吡嗪酰胺(BPaZ)治疗肺结核的 PKPD 模型。该模型描述了血浆中药物浓度与其单独以及联合对固体培养 CFU 计数和液体培养阳性时间(TTP)评估的痰菌负荷的影响之间的时间过程关系。该模型参数是使用来自 2A 期研究 NC-001-(J-M-Pa-Z)和 NC-003-(C-J-Pa-Z)的数据进行估计的。结果包括了 BPaZ 活性的特征,即对吡嗪酰胺和贝达喹啉暴露变化最敏感和最不敏感,BPa 的拮抗活性被 BZ 和 PaZ 的协同活性补偿。用 200mg 每日一次的贝达喹啉、200mg 的 pretomanid 和 1500mg 的吡嗪酰胺对 NC-003 研究人群进行模拟,表明 BPaZ 要达到 90%的参与者液体培养阴性需要 3 个月的时间。这些 BPaZ 的结果旨在作为一个示例应用,该方法的总体目标是针对来自不断增长的新和重新利用的 TB 药物管道的全新药物组合。