Department of Bioengineering and Therapeutic Sciences, University of California San Francisco Schools of Pharmacy and Medicine, San Francisco, California, USA.
UCSF Center for Tuberculosis, University of California, San Francisco, California, USA.
Antimicrob Agents Chemother. 2024 Aug 7;68(8):e0019024. doi: 10.1128/aac.00190-24. Epub 2024 Jul 17.
According to the World Health Organization, the number of tuberculosis (TB) infections and the drug-resistant burden worldwide increased by 4.5% and 3.0%, respectively, between 2020 and 2021. Disease severity and complexity drive the interest for undertaking new clinical trials to provide efficient treatment to limit spread and drug resistance. TB Alliance conducted a phase 2 study in 106 patients to guide linezolid (LZD) dose selection using early bactericidal activity over 14 days of treatment. LZD is highly efficient for drug-resistant TB treatment, but treatment monitoring is required since serious adverse events can occur. The objective of this study was to develop a pharmacokinetic-pharmacodynamic (PKPD) model to analyze the dose-response relationship between linezolid exposure and efficacy biomarkers. Using time to positivity (TTP) and colony-forming unit (CFU) count data, we developed a PKPD model in six dosing regimens, differing on LZD dosing intensity. A one-compartment model with five transit absorption compartments and non-linear auto-inhibition elimination described best LZD pharmacokinetic characteristics. TTP and CFU logarithmic scaled [log(CFU)] showed a bactericidal activity of LZD against . TTP was defined by a model with two significant covariates: the presence of uni- and bilateral cavities decreased baseline TTP value by 24%, and an increase on every 500 mg/L/h of cumulative area under the curve increased the rate at which TTP and CFU change from baseline by 20% and 11%, respectively.
This study is registered with ClinicalTrials.gov as NCT02279875.
根据世界卫生组织的数据,2020 年至 2021 年,全球结核感染人数和耐药负担分别增加了 4.5%和 3.0%。疾病的严重程度和复杂性促使人们开展新的临床试验,提供有效的治疗方法,以限制传播和耐药性。结核联盟在 106 名患者中开展了一项 2 期研究,以指导利奈唑胺(LZD)在治疗的前 14 天内的杀菌活性指导剂量选择。LZD 对耐药结核治疗非常有效,但需要进行治疗监测,因为可能会发生严重的不良反应。本研究旨在开发一种药代动力学-药效学(PKPD)模型,以分析利奈唑胺暴露与疗效生物标志物之间的剂量反应关系。使用阳性时间(TTP)和菌落形成单位(CFU)计数数据,我们在六种不同 LZD 剂量强度的给药方案中开发了一个 PKPD 模型。一个具有五个转运吸收隔室和非线性自抑制消除的单室模型最好地描述了 LZD 的药代动力学特征。TTP 和 CFU 对数(log[CFU])显示 LZD 对. 的杀菌活性。TTP 通过一个具有两个显著协变量的模型来定义:单侧和双侧空洞的存在使 TTP 的基线值降低了 24%,而累积 AUC 每增加 500mg/L/h,TTP 和 CFU 从基线变化的速率分别增加 20%和 11%。
本研究在 ClinicalTrials.gov 上注册为 NCT02279875。