抗逆转录病毒药物脑分布的双峰洛伦兹CEST磁共振成像。

NeuroImmune pharmacology and therapeutics Pub Date : 2023-03-25 Epub Date: 2022-09-13 DOI:10.1515/nipt-2022-0012
Yutong Liu, Gabriel C Gauthier, Howard E Gendelman, Aditya N Bade
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引用次数: 0

摘要

目的:利用化学交换饱和转移(CEST)对比,现在可以通过磁共振成像实现抗逆转录病毒药物(ARV)的时空生物分布。然而,组织中生物分子的存在限制了目前 CEST 方法的特异性。为了克服这一限制,我们开发了一种洛伦兹线形拟合算法,可同时拟合 ARV 质子在其 Z 光谱上的 CEST 峰:该算法在常见的一线抗逆转录病毒药物拉米夫定(3TC)上进行了测试,3TC 中的氨基(-NH2)质子和羟基(-OH)质子产生了两个峰。所开发的双峰洛伦兹函数同时拟合了这两个峰,并将 -NH2 和 -OH CEST 对比度的比值作为限制参数来测量药物治疗小鼠大脑中 3TC 的存在。使用新算法计算出的 3TC 生物分布与使用 UPLC-MS/MS 测得的实际药物水平进行了比较。与仅采用-NH2 CEST峰的方法相比,双峰洛伦兹拟合算法与脑组织中的3TC水平显示出更强的相关性,表明对实际药物水平进行了估计:我们的结论是,3TC 水平可以从组织生物大分子的混杂 CEST 效应中提取出来,从而提高药物绘图的特异性。这种算法可以扩展到使用 CEST MRI 测量各种抗逆转录病毒药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution.

Objectives: Spatial-temporal biodistribution of antiretroviral drugs (ARVs) can now be achieved using MRI by utilizing chemical exchange saturation transfer (CEST) contrasts. However, the presence of biomolecules in tissue limits the specificity of current CEST methods. To overcome this limitation, a Lorentzian line-shape fitting algorithm was developed that simultaneously fits CEST peaks of ARV protons on its Z-spectrum.

Case presentation: This algorithm was tested on the common first line ARV, lamivudine (3TC), that has two peaks resulting from amino (-NH2) and hydroxyl (-OH) protons in 3TC. The developed dual-peak Lorentzian function fitted these two peaks simultaneously, and used the ratio of -NH2 and -OH CEST contrasts as a constraint parameter to measure 3TC presence in brains of drug-treated mice. 3TC biodistribution calculated using the new algorithm was compared against actual drug levels measured using UPLC-MS/MS. In comparison to the method that employs the -NH2 CEST peak only, the dual-peak Lorentzian fitting algorithm showed stronger correlation with brain tissue 3TC levels, signifying estimation of actual drug levels.

Conclusions: We concluded that 3TC levels can be extracted from confounding CEST effects of tissue biomolecules resulting in improved specificity for drug mapping. This algorithm can be expanded to measure a variety of ARVs using CEST MRI.

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