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. 2023 Jun 19;169(6):001345. doi: 10.1099/mic.0.001345

Inoculum-dependent bactericidal activity of a Mycobacterium tuberculosis MmpL3 inhibitor

Bryan Berube 1,2, Aditi Deshpande 1, Amala Bhagwat 1, Tanya Parish 1,2,3,*
PMCID: PMC10333795  PMID: 37334886

Abstract

Indolcarboxamides are a promising series of anti-tubercular agents, which target Mycobacterium tuberculosis MmpL3, the exporter of trehalose monomycolate, a key cell-wall component. We determined the kill kinetics of the lead indolcarboxamide NITD-349 and determined that while kill was rapid against low-density cultures, bactericidal activity was inoculum-dependent. A combination of NITD-349 with isoniazid (which inhibits mycolate synthesis) had an increased kill rate; this combination prevented the appearance of resistant mutants, even at higher inocula.

Keywords: anti-tubercular, bactericidal activity, cell-wall inhibitor, tuberculosis drug discovery

Full-Text

Mycobacterium tuberculosis remains a pathogen of global significance, causing millions of new cases of tuberculosis and ~1.6 million deaths in 2022 [1]. A substantial effort in identifying new anti-tubercular drugs has been made in the last decade and several novel agents are in or approaching clinical trials. Cell-wall biosynthesis is a major target of new agents, with many novel chemical series inhibiting the action of the mycolic acid exporter MmpL3 [2]. The indolcarboxamide series has been the subject of many studies since it has demonstrated excellent potency against extracellular M. tuberculosis and in vivo efficacy in animal models of infection [3].

Previous work has demonstrated that the indolcarboxamide NITD-304 is a potent inhibitor of bacterial growth with bactericidal activity. However, kill kinetics were moderate with a 1-log reduction in viable bacteria at the IC50 and 4-log of kill at 100X IC50 without complete sterilization of the culture [3]. We were interested to determine if this was a property of the series or the molecule. Therefore we looked at the kill kinetics of NITD-349, the most advanced molecule in the series. We determined the MIC using our standard growth assay [4]; bacteria were inoculated at an OD of 0.02 and incubated for 5 days – the IC50 was 56±22 nM and the IC90 was 84±17 nM (n=4), which is in line with the reported IC50 of 23 nM [3].

We determined the minimum bactericidal concentration (MBC), defined as the lowest concentration giving 3-log kill within 21 days [5]. We measured viability by colony forming units after exposure to NITD-349; bacteria were inoculated into Middlebrook 7H9 medium plus 10 % v/v Middlebrook OADC supplement (oleic acid, albumin, dextrose, catalase) and 0.05 % w/v Tween 80. Medium contained NITD-349 prepared from a 10 mM stock in DMSO; all cultures had DMSO to a final concentration of 1 %. c.f.u.s were measured by plating tenfold serial dilutions onto Middlebrook 7H10 medium plus 10 % v/v OADC and incubating for 3–4 weeks at 37 °C.

We determined that NITD-349 was rapidly bactericidal with a complete sterilization of culture within 7 days at 125 nM (MBC=125 nM) (Fig. 1a). We repeated the kill kinetic study and saw a similar profile with rapid kill within 7 days and an MBC of 125 nM (Fig. 1b). However in the second run we saw outgrowth at 125 nM after 7 days, presumably due to the growth of resistant mutants at the lower concentrations. We ran a third kill kinetic study with additional time points and demonstrated that kill was extremely rapid, with an almost linear kill over the first 7 days and all concentrations demonstrating complete sterilization within 14 days (MBC=63 nM) (Fig. 1c). Given the rapid kill rate, there was little scope to determine if kill was concentration-dependent or time-dependent. Of interest to us was the fact we saw much higher kill rates than the initial study; a comparison of the two studies showed that we used a lower inoculum starting at <106 c.f.u. ml−1 as compared to 107 c.f.u. ml−1 for NITD-304 [3].

Fig. 1.

Fig. 1.

Kill kinetics of NITD-349. M. tuberculosis was inoculated into medium containing NITD-349 to a theoretical OD600 of 0.001 (a and c) or 0.005 (b). Viable bacteria were enumerated by plating serial dilutions and counting c.f.u.s after 3–4 weeks. The upper and lower limits of detection are indicated by dotted lines. Day 0 values are for the DMSO control.

We repeated our kill kinetics studies using different inocula ranging from ~105 to ~107 c.f.u. ml−1. Each experiment was repeated three times in fully independent runs. We saw a clear inoculum-dependent effect (Fig. 2). At the lowest inoculum we obtained 3 log kill with an MBC of 125 nM as in our prior experiment (Fig. 2a). As we increased the inoculum, the kill rate decreased; at both higher inocula the MBC was >1 µM (Fig. 2b, c). At a starting inoculum of >106 the kill rate was 1.5 log per week, although the MBC was >1 µM; the highest concentration did lead to a 2.5 log kill. Kill was seen with concentrations as low as 125 nM (Fig. 2b). At a starting inoculum of >107, much less kill was apparent, with a maximum kill rate of 1 log per week and the highest concentration led to a 2 log kill. Kill was seen at concentrations about 250 nM (Fig. 2c). This shows a clear inoculum-dependent effect, such that kill rates decrease as the starting inoculum is higher and likely explains the difference in kill rates between NITD-304 and NITD-349.

Fig. 2.

Fig. 2.

Inoculum-dependent kill kinetics of NITD-349. M. tuberculosis was inoculated into medium containing NITD-349 to a theoretical OD600 of (a) 0.001, (b) 0.01, and (c) 0.1. Viable bacteria were enumerated by plating serial dilutions and counting c.f.u.s after 3–4 weeks. Data are the mean and standard deviation of three independent experiments. The upper and lower limits of detection are indicated by dotted lines. Day 0 values are for the DMSO control.

TB therapy consists of multiple drugs as a regimen, so it is important to know how different agents combine. Isoniazid is one of the frontline drugs for tuberculosis, but the frequency of resistance in vitro is high since it is a pro-drug. INH targets mycolic acid synthesis and so should synergize with MmpL3 inhibitors like NITD-349. We determined the effect of combining NITD-349 and INH on kill kinetics and the inoculum-dependent effect (Fig. 3). We started with a low inoculum for this experiment since the frequency of resistance to INH is high (about 1 in 106). NITD-349 showed rapid kill over the first 7 days as expected, with sterilization of the culture by day 14. Addition of INH to NITD-349 increased the rate of kill by ~1 log over the first 7 days, although INH alone was insufficient to kill.

Fig. 3.

Fig. 3.

Combination kill kinetics of NITD-349 and INH. M. tuberculosis was inoculated into medium containing NITD-349 and/or 5 µM INH to a theoretical OD600 of 0.001. Viable bacteria were enumerated by plating serial dilutions and counting c.f.u.s after 3–4 weeks. The upper and lower limits of detection are indicated by dotted lines. Day 0 values are for the DMSO control.

We repeated the experiment as two fully independent experimental runs using different inocula to determine whether we still saw the inoculum-dependent effect in combinations (Fig. 4). Since the appearance of resistant mutants is random, the number of resistant bacteria in each starting culture will be different, therefore we present the data for each experiment separately. At the lowest inoculum we saw rapid kill by NITD-349 and INH alone as expected (Fig. 4a, d). In contrast to our previous run, we did see kill by INH, which is likely due to difference in the number of INH-resistant bacteria in the inoculum. At the lower inocula, we saw outgrowth of resistant mutants with INH in both experiments and for NITD-349 in one experiment at the lower concentration. Combination of the two agents led to improved kill rates of at least 1 log over 7 days and prevented the appearance of resistant mutants (Fig. 4a, d). Using a slightly larger inoculum, we saw outgrowth of resistant mutants for INH and NITD-349 at the lowest concentration in both experiments; again the combination improved kill rates and prevented the appearance of resistant mutants (Fig. 4b, e). Using the highest inoculum, we saw limited kill with NITD-349 alone confirming our previous observation (Fig. 4c, f). In each of the runs, we saw early kill by INH followed by outgrowth of resistant mutants. However, in combination we saw an improved kill rate and no appearance of resistant mutants. Thus we conclude that the combination of NITD-349 and INH can prevent the appearance of resistant mutants. Although kill rates were reduced for the higher inoculum, they were improved in the combination treated cultures, therefore the combination of two agents can overcome the inoculum-dependent effect to some extent.

Fig. 4.

Fig. 4.

Inoculum-dependent combination kill kinetics of NITD-349 and INH. M. tuberculosis was inoculated into medium containing NITD-349 and/or 5 µM INH to a theoretical OD600 of 0.001 (a and d), 0.01 (b and e) and 0.1 (c and f). Viable bacteria were enumerated by plating serial dilutions and counting c.fu.s after 3–4 weeks. Two independent experiments were conducted in (a–c) and (d–f). The upper and lower limits of detection are indicated by dotted lines. Day 0 values are for the DMSO control.

The inoculum-dependent effect is seen with a number of antibiotic classes; there are several mechanisms proposed to account for this phenomenon [6, 7]. One possibility for NITD-349 is the ‘growth productivity’ hypothesis, which proposes that at higher densities, the bacteria enter stationary phase more rapidly [8]. Since NITD-349 inhibits cell-wall synthesis and is unlikely to kill non-replicating bacteria, this could explain the reduced efficacy of the compound at higher cell densities.

In conclusion, we have shown that the bactericidal activity of NITD-349 is inoculum-dependent, but this can be mitigated by combination with INH. The combination of NITD-349 and INH showed increased kill rates and prevented the appearance of resistant mutants, suggesting that this combination could be clinically useful. We propose that testing for inoculum-dependent effects should be an important part of early drug discovery testing for novel agents, since bacterial loads during infection are generally higher than those used in standard MIC determinations.

Funding information

This research was supported in part with funding from NIAID of the National Institutes of Health under award number R01AI129360 and by the Department of Defense office of the Congressionally Directed Medical Research Programs under award number PR191269. This research was supported in part with funding from the Bill and Melinda Gates Foundation, under grants OPP1024038 and INV-005585. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission.

Acknowledgements

We thank Kyle Krieger for technical assistance in performing kill kinetics. We thank Anna Upton, Khisi Mdluli and Nader Fotouhi at the TB Alliance for supplying NITD-349 and useful discussion.

Conflicts of interest

The authors declare that there are no conflicts of interest.

Footnotes

Abbreviations: c.f.u., colony forming unit; INH, isoniazid; MBC, minimum bactericidal concentration; MIC, minimum inhibitory concentration.

References

  • 1.World Health Organization Global tuberculosis report 2022. 2022
  • 2.Shao M, McNeil M, Cook GM, Lu X. MmpL3 inhibitors as antituberculosis drugs. Eur J Med Chem. 2020;200:112390. doi: 10.1016/j.ejmech.2020.112390. [DOI] [PubMed] [Google Scholar]
  • 3.Rao SPS, Lakshminarayana SB, Kondreddi RR, Herve M, Camacho LR, et al. Indolcarboxamide is a preclinical candidate for treating multidrug-resistant tuberculosis. Sci Transl Med. 2013;5:214ra168. doi: 10.1126/scitranslmed.3007355. [DOI] [PubMed] [Google Scholar]
  • 4.Ollinger J, Bailey MA, Moraski GC, Casey A, Florio S, et al. A dual read-out assay to evaluate the potency of compounds active against Mycobacterium tuberculosis . PLoS One. 2013;8:e60531. doi: 10.1371/journal.pone.0060531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Early J, Alling T. Determination of compound kill kinetics against Mycobacterium tuberculosis . Methods Mol Biol. 2015;1285:269–279. doi: 10.1007/978-1-4939-2450-9_16. [DOI] [PubMed] [Google Scholar]
  • 6.Sorg RA, Lin L, van Doorn GS, Sorg M, Olson J, et al. Collective resistance in microbial communities by intracellular antibiotic deactivation. PLoS Biol. 2016;14:e2000631. doi: 10.1371/journal.pbio.2000631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tan C, Smith RP, Srimani JK, Riccione KA, Prasada S, et al. The inoculum effect and band-pass bacterial response to periodic antibiotic treatment. Mol Syst Biol. 2012;8:617. doi: 10.1038/msb.2012.49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Diaz-Tang G, Meneses EM, Patel K, Mirkin S, García-Diéguez L, et al. Growth productivity as a determinant of the inoculum effect for bactericidal antibiotics. Sci Adv. 2022;8:eadd0924. doi: 10.1126/sciadv.add0924. [DOI] [PMC free article] [PubMed] [Google Scholar]

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