Tuberculosis (TB) remains a serious global health threat despite the availability of anti-TB chemotherapy regimens for over 40 years1. This is due in part to the requirement for long treatment periods of over 6 months using multiple drug combinations, which leads to patient non-compliance2. The emergence of drug-resistant TB in recent years has further compounded problems in a field where successful development of clinically approved drugs is virtually non-existent3. Indeed, despite exhaustive anti-TB drug development, only a single drug has been FDA approved for clinical use in the past 40 years4. Thus, new generations of anti-TB drugs are urgently needed to address this problem.
A key problem in TB drug discovery is the lack of successful transfer from compounds with in vitro activity to efficacy in the clinical setting5,6,7. Initially, target based approaches were used to screen for anti-Mtb drugs5, which failed to translate into whole bacterial cells. Even when Mtb cells are used, it is often performed using broth grown cultures, which do not accurately predict drug efficacy in vivo8,9. These problems have been recognized and drug screening assays against macrophages containing Mtb or latent Mtb have been successfully established8,10,11,12. However, even these more advanced assays do not give sufficient consideration to the penetration barriers that drugs encounter in the non-vascularized pulmonary lesions, and in the necrotic foci at the site of infection. Indeed, even for the first-line TB drug rifampicin, sub-optimal dosing has been questioned due to inadequate in vivo tissue and cerebral spinal fluid (CSF) penetration13,14,15 as well as decreased efficacy against intracellular Mtb8,9. As such, new models and assays that would take into account these parameters during the early lead development process would undoubtedly improve TB drug discovery efforts.
To address this need, we recently established an inexpensive, rapid, and BSL-2 compatible alternative infection model for Mtb drug efficacy testing16. This infection model produced densely packed Mtb within large macrophage aggregate structures, which recapitulated physiologically relevant cellular penetration barriers and generated macrophage-passaged Mtb with an altered physiological status resembling latent Mtb. Mtb derived from this infection model was combined with the resazurin microtiter assay (REMA) to evaluate drug efficacy, which produced results consistent with other intracellular infection models and correlated well with the reported ability of common TB drugs to achieve high CSF concentrations relative to serum concentrations16.
Here we describe in detail the generation of Mtb/macrophage aggregate structures to produce macrophage-passaged Mtb suitable for drug susceptibility testing using REMA. In particular, we show how this infection system could be adapted to a 96-well format for compatibility with throughput screening of candidate anti-TB drugs.