2016
DOI: 10.1016/j.jtbi.2016.03.038
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Mathematical modeling and systems pharmacology of tuberculosis: Isoniazid as a case study

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Cited by 8 publications
(5 citation statements)
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“…When resistance to antibiotics is driven by point mutations at single positions, natural mutation rates will lead to the repeated presence of naturally occurring, resistant cells. Conservatively, taking values from the more slow-growing and non-recombining M. tuberculosis, a mutation rate of ~8 × 10 -9 mutations per site per month [26] and a typical extracellular population of ~10 9 cells [27] clearly means that, during treatment, a typical within-patient population will repeatedly give rise to cells with the rrl 2058 mutation (for example). Typically, such mutations have fitness costs, so remain at a low frequency, but in the presence of antibiotics, they rapidly achieve dominance.…”
Section: Discussionmentioning
confidence: 99%
“…When resistance to antibiotics is driven by point mutations at single positions, natural mutation rates will lead to the repeated presence of naturally occurring, resistant cells. Conservatively, taking values from the more slow-growing and non-recombining M. tuberculosis, a mutation rate of ~8 × 10 -9 mutations per site per month [26] and a typical extracellular population of ~10 9 cells [27] clearly means that, during treatment, a typical within-patient population will repeatedly give rise to cells with the rrl 2058 mutation (for example). Typically, such mutations have fitness costs, so remain at a low frequency, but in the presence of antibiotics, they rapidly achieve dominance.…”
Section: Discussionmentioning
confidence: 99%
“…It may be that the slower INH killing of fast growers leads to a lack of regrowth. INH has also been shown to have an antagonistic effect on the efficacy of PZA in mice (19, 27, 35, 36), providing further support for the removal of INH either entirely or after an appropriate duration of treatment, and it would therefore be interesting to see, using our continuous culture models, whether the removal of INH after 1 to 2 days (with continued exposure to PZA and RIF) reduces the presence of regrowth.…”
Section: Discussionmentioning
confidence: 76%
“…anti-TB drugs, a PK model was developed to simulate the concentration-time profiles in plasma, epithelial lining fluid (ELF, extracellular concentrations) and alveolar cells (AC, intracellular concentrations). These models have been found to best describe PK data of the respective anti-TB drugs in previous studies (14,(18)(19)(20)(21)(22)(23)(24)(25). Except for INH of which the PK model structure included both ELF and AC compartments (14), ELF-to-plasma and AC-to-plasma concentration ratios were used to extrapolate ELF and AC concentrations from simulated plasma concentrations.…”
Section: Pharmacokinetics and Pharmacodynamics Of Anti-tb Drugs For mentioning
confidence: 97%
“…For a mathematical model to realistically mimic the evolutionary dynamics of Mycobacterium tuberculosis (Mtb) in a human host environment and correctly estimate drug effects, it is essential to combine the immune response into pharmacokinetic (PK) and pharmacodynamic (PD) models of anti-TB drugs (14). This is because of the important role that the immune response plays in the proliferation and clearance of Mtb in the host environment (15), as well as the complex interactions between the immune response and the pathogen that determine pharmacological effects of a drug (14). To the best of our knowledge, there has been no attempt to link PK-PD models to host immune response models to optimise MDR-TB regimens.…”
Section: Introductionmentioning
confidence: 99%