2019
DOI: 10.1371/journal.pmed.1002773
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Tuberculosis drugs’ distribution and emergence of resistance in patient’s lung lesions: A mechanistic model and tool for regimen and dose optimization

Abstract: Background The sites of mycobacterial infection in the lungs of tuberculosis (TB) patients have complex structures and poor vascularization, which obstructs drug distribution to these hard-to-reach and hard-to-treat disease sites, further leading to suboptimal drug concentrations, resulting in compromised TB treatment response and resistance development. Quantifying lesion-specific drug uptake and pharmacokinetics (PKs) in TB patients is necessary to optimize treatment regimens at all infection si… Show more

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Cited by 157 publications
(204 citation statements)
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“…Highly lipophilic drugs for other infectious diseases, like bedaquiline and clofazimine, accumulate in lungs as well, however, the accumulation correlates with binding to macromolecules in tissue, not necessarily to the free fraction. 27,28 Based on the physicochemical parameters of HCQ (log P of 3.85 and pKa of 9.67, 8.27), the fraction unbound in tissue is likely low. 29 Therefore, in our study, we conservatively assume that the free fraction in plasma equilibrates between plasma and tissue and consider that to be the fraction of drug that can contribute to drug effect.…”
Section: Articlementioning
confidence: 99%
“…Highly lipophilic drugs for other infectious diseases, like bedaquiline and clofazimine, accumulate in lungs as well, however, the accumulation correlates with binding to macromolecules in tissue, not necessarily to the free fraction. 27,28 Based on the physicochemical parameters of HCQ (log P of 3.85 and pKa of 9.67, 8.27), the fraction unbound in tissue is likely low. 29 Therefore, in our study, we conservatively assume that the free fraction in plasma equilibrates between plasma and tissue and consider that to be the fraction of drug that can contribute to drug effect.…”
Section: Articlementioning
confidence: 99%
“…Additionally, PK variability can be due to differences at the genetic scale, such as in Nacetyltransferase 2 involved in the metabolism of INH (Blum et al, 1991;Kinzig-Schippers et al, 2005). This PK variability can lead to poor exposure in granuloma lesions, reducing the amount of time antibiotic concentrations are above therapeutic thresholds during therapy (Strydom et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Perhaps the most obvious lesson that we can learn from HIV is that, in all of these systems, the stories of how resistance evolves are unlikely to be simple. In particular, spatial or temporal heterogeneity, whether within the patient or at the level of a patient population, probably makes each of these cases much more complex than the common textbook explanations of resistance evolution would imply (as illustrated by recent work on spatial structure in the lungs of TB patients Strydom et al (2019)). In addition, the environments in which these systems evolve are temporally heterogeneous because of drug half-lives, dosing schedules, and imperfect adherence.…”
Section: Resultsmentioning
confidence: 99%