- 1Tuberculosis Research Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Disease (NIAID), National Institutes of Health (NIH), Bethesda, MD, United States
- 2Medical College, China Three Gorges University, Yichang, China
- 3Institute of Infection and Inflammation, China Three Gorges University, Yichang, China
- 4Tuberculosis Imaging Program, DIR, NIAID, NIH, Bethesda, MD, United States
- 5Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
Tuberculosis (TB) remains a global health problem despite almost universal efforts to provide patients with highly effective chemotherapy, in part, because many infected individuals are not diagnosed and treated, others do not complete treatment, and a small proportion harbor Mycobacterium tuberculosis (Mtb) strains that have become resistant to drugs in the standard regimen. Development and approval of new drugs for TB have accelerated in the last 10 years, but more drugs are needed due to both Mtb’s development of resistance and the desire to shorten therapy to 4 months or less. The drug development process needs predictive animal models that recapitulate the complex pathology and bacterial burden distribution of human disease. The human host response to pulmonary infection with Mtb is granulomatous inflammation usually resulting in contained lesions and limited bacterial replication. In those who develop progressive or active disease, regions of necrosis and cavitation can develop leading to lasting lung damage and possible death. This review describes the major vertebrate animal models used in evaluating compound activity against Mtb and the disease presentation that develops. Each of the models, including the zebrafish, various mice, guinea pigs, rabbits, and non-human primates provides data on number of Mtb bacteria and pathology resolution. The models where individual lesions can be dissected from the tissue or sampled can also provide data on lesion-specific bacterial loads and lesion-specific drug concentrations. With the inclusion of medical imaging, a compound’s effect on resolution of pathology within individual lesions and animals can also be determined over time. Incorporation of measurement of drug exposure and drug distribution within animals and their tissues is important for choosing the best compounds to push toward the clinic and to the development of better regimens. We review the practical aspects of each model and the advantages and limitations of each in order to promote choosing a rational combination of them for a compound’s development.
Introduction
The WHO global tuberculosis report estimated there were 10 million new active tuberculosis (TB) cases and 1.4 million TB-associated deaths in 2019 (Global Tuberculosis Report, 2020). Additionally, 5% of TB cases were rifampicin-resistant with 78% of those being multidrug-resistant (MDR) posing severe challenges for public health agencies providing treatment. Although there are different estimates of the pool of persons currently living with latent TB infection (LTBI), these persons need to be identified, assessed for risk of developing active disease, and those at risk treated if we are to eliminate Tuberculosis by 2050 (Esmail et al., 2014; Houben and Dodd, 2016; Kaplan, 2020). In humans, the vast majority of TB is caused by Mycobacterium tuberculosis (Mtb) but may also be caused by another member of the Mtb complex (Mtbc), Mycobacterium africanum. Mycobacterium bovis (Mb) and other members of the animal-adapted Mtbc typically cause tuberculosis in other mammals (Brites and Gagneux, 2017). Within Mtb there are groups, or lineages, of strains that are somewhat geographically restricted or “ancient” that retain a chromosomal region called Mtb-specifc deletion 1 (TbD1) that was lost from the progenitor of the widespread or modern lineages (Brites and Gagneux, 2017; Bottai et al., 2020). The effect of this deletion was to give modern Mtb greater tolerance to oxidative stress and hypoxia (Bottai et al., 2020) which translated to greater virulence in infection models with human-like necrotic lesions. The most common lab strains used for compound screening and animal experiments are derived from the modern lineages which include the Beijing, CAS/Dehli, and Euro-American strain families, suggesting that we may be missing some heterogeneity that could be important to recognize.
Mtb infections are notoriously difficult to cure, in part because of Mtb’s waxy mycobacterial cell wall, slow growth rate, and natural drug resistance, but also because of its ability to develop phenotypic drug tolerance and persist for long periods in the host before proliferating and causing symptomatic disease (Brennan, 2003; Barry et al., 2009; Aldridge et al., 2014; Gordon and Parish, 2018). After decades of little activity, numerous compounds, new drug candidates, and possible combinations are being pushed forward for assessment: the question is how to best evaluate the compounds that advance into in vivo testing (https://www.newtbdrugs.org) (Libardo et al., 2018; Tornheim and Dooley, 2019; Huszár et al., 2020). Additional factors to be considered are the complex pathology characteristics of human disease and that successful treatment may rely both on compound distribution into regions of disease and the differential abundance and susceptibility of the bacteria in these diverse regions (Kaplan et al., 2003; Prideaux et al., 2015; Hunter, 2016; Hunter, 2018; Strydom et al., 2019; Sarathy and Dartois, 2020). The characteristics of useful in vivo models for evaluating new compounds include: development of relevant disease through a low dose Mycobacterium exposure; development of a persistent infection with both intracellular and extracellular bacteria; development of heterogenous lesion pathology, including granulomas and pneumonia with regions of necrosis with relatively low bacterial loads and cavities with highly heterogenous bacterial loads (Kaplan et al., 2003; Hunter, 2016); as well as being amenable to methods for assessing the state of the infection in situ. Also needed are methods for assessing compound exposure both systemically and locally at the site of disease in as small an animal as practical to minimize compound requirements. This review focuses on the more common vertebrate animal models of tuberculosis used for compound assessment and will address the following: their general characteristics, with elaboration on the biological contributions of each towards assessment of current drugs and compounds; the advantages, practicalities, and limitations of each; and suggestions for combining the models, as no one model mimics the time course and complex pathology of human tuberculosis.
Zebrafish are an Effective Platform for Anti-Tuberculosis Compound Screening
Zebrafish (Danio rerio) were originally used to study the stages of vertebrate development, in part because the larval body was transparent and thus conducive for live imaging (Kimmel et al., 1995). In addition, the 2–4 cm fish breed quickly (100–200 eggs/week), share important similarities with the mammalian immune system, and are genetically tractable so they can be engineered to produce fluorescent protein markers in specific cell lineages (Figure 1) (Renshaw and Trede, 2012; Henry et al., 2013; Bernut et al., 2016; Hsu et al., 2017). The initial interest in zebrafish as a model for tuberculosis was twofold: they are a natural host for Mycobacterium marinum (Mm), a close relative and evolutional homolog of Mtb, without requiring biological safety level 3 (ABSL-3) containment; and the model allows the genetics of tubercular disease to be studied through mutations in both host and pathogen (Prouty et al., 2003; Berg and Ramakrishnan, 2012; Belon et al., 2014; Luukinen et al., 2018; Tükenmez et al., 2019). Both adult and larval zebrafish develop granulomatous lesions (Cosma et al., 2004; Volkman et al., 2004; Swaim et al., 2006; Davis and Ramakrishnan, 2009; Volkman et al., 2010; Franzblau et al., 2012; Oehlers et al., 2015; Cronan et al., 2016; Fenaroli et al., 2018). Mm initiates primary granuloma formation by inducing nearby epithelial cells to release matrix metalloproteinase-9, thus recruiting macrophages, promoting granuloma maturation and bacterial replication, much like Mtb (Volkman et al., 2010). Macrophage phagocytosis of Mm transforms them into foamy macrophages, similar to Mtb in mammalian species, thus sustaining persistent bacteria (Peyron et al., 2008; Johansen et al., 2018). The development of disease is Mm dose dependent: in low-dose infection of adults [~24 to 30 colony forming units (CFU)], Mm can induce a persistent subclinical (or latent) state that can be reactivated by γ-irradiation to temporarily deplete immune cells; in high-dose infection of adults (~1,800 to 2,500 CFU), Mm can induce a more active state (Parikka et al., 2012). Another approach to studying persistent infection was developed by creating a Mm mutant lacking functional resuscitation-promoting factors AB (Commandeur et al., 2020). This mutant developed a persistent phenotype in zebrafish embryos if the bacteria were nutrient-starved before inoculation. The model was tolerant to ethambutol (EMB) and was proposed as a screening tool for compounds active against asymptomatic infections. According to the cumulative literature, different inoculation routes of Mm can be used: adult zebrafish are typically infected via intraperitoneal (ip) or intramuscular (im) injection, whereas embryonic-larval infection is typically via caudal vein (cv) injection, although there are a number of local inoculation routes possible (Figure 1A). Following infection with fluorescent protein-expressing Mm, host pathogen interactions can be directly observed with time-lapse photomicrography of transgenic fish larvae with fluorescent protein-labeled cells, for example neutrophils, like those shown in Figures 1B, C and discussed in Belon et al. (2014).
Figure 1 Zebrafish infection sites and zebrafish larva infected with M. marinum. (A) Bright field image of sites used for microinjection of the pathogen including otic vesicle, hindbrain, caudal vein, tail and trunk. Fluorescence and bright field overlay image of transgenic zebrafish with Dendra2-expressing neutrophils (green) after injection of tdTomato-expressing Mm (red) into the OV site after 1 min (B) and 120 min (C) showing neutrophil migration. Scale bar equals 500 μm.
The zebrafish model is utilized for high-throughput drug discovery research in both embryonic–larval developmental stages as well as the adult developmental stages (Table 1). Using the embryonic–larval stages allows for drug uptake through the skin and real-time readouts of drug efficacy on a large scale due to their transparency that lasts several days into larval development (Meijer and Spaink, 2011). Assessment of drug efficacy can be performed by automated fluorescence microscopy or automated plate fluorimetry, making a 5-day or more experimental time course possible. To demonstrate this, four standard anti-TB drugs were shown to inhibit Mm growth inside the larvae over 4 days (Takaki et al., 2013). Since a single pair of fish produces hundreds of offspring, large numbers of embryos can be dedicated to in vivo minimum inhibitory concentration (MIC) profiling for compound libraries, as is done in cell culture models. In addition, zebrafish embryos have been used to evaluate developmental toxicity of compounds, such as two dithiocarbamates, previously found to inhibit β-carbonic anhydrase 3 (b-CA3) of Mtb in vitro (Aspatwar et al., 2017). The parameters evaluated for toxicity in embryos (N = 30 embryos per inhibitor) included: survival, movement, yolk sack absorption, hatching, heartbeat, body shape, and edema. While one compound had serious adverse effects on embryo development, the second compound, Fc14-584B, had no serious adverse effects and showed activity against Mm measured by fluorescence (Aspatwar et al., 2017). Isoniazid (INH), a first-line anti-tuberculosis drug, has shown hepatotoxicity in zebrafish larvae, demonstrated via activation of reactive oxygen species-mediated endoplasmic reticulum stress, apoptosis, and upregulation of the Nrf2 pathway (Jia et al., 2019). Notably, vascular endothelial growth factor (VEGF) mediated angiogenesis was necessary for Mm-induced granuloma formation in larval zebrafish (Oehlers et al., 2015). Blocking VEGF activity was demonstrated as a host-directed therapy (HDT) for tuberculosis that reduced bacterial replication, which was also observed in Mtb strain HN878-infected rabbit model to reduce hypoxia and dissemination from the lung in mice (Datta et al., 2015; Polena et al., 2016). An adult zebrafish model of Mm-infection and subsequent chemotherapy was also developed; the anti-mycobacterial drugs INH, rifampicin (RIF), moxifloxacin (MOX), EMB, and INH + RIF were administered orally, and the effects were evaluated, concluding all drugs tested in this model were effective (Sridevi et al., 2014). Taken together, Mm-infected zebrafish larvae coupled with improved automated imaging acquisition systems provide a reproducible and efficient model for: 1) evaluation of drug safety and toxicity; 2) rapid-screening of anti-tuberculosis drug effectiveness; 3) identification of potential HDT approaches. A limitation of screening in this model is that Mm antibiotic susceptibility is not identical to that of Mtb, so there is some risk of missing active compounds, but this in vivo screen may pick up other compounds that are only active in the presence of the host (Dalton et al., 2017; Huang et al., 2018).
Table 1 Vertebrate animal models typically used for tuberculosis drug testing, relevant characteristics, types of studies they contribute to in elucidating the human disease state.
Mice: The Workhorses for Initial Compound Characterization
Although many animal models are employed in TB research, mice are the most commonly used animal model for tuberculosis drug development (Table 1) (Orme and Ordway, 2016; Nuermberger, 2017). Mice are usually infected via the respiratory tract currently (aerosol, intranasal, or intratracheal route) although intravenous injection was used in many early, important studies (McCune et al., 1956; McCune and Tompsett, 1956; McCune et al., 1966a; McCune et al., 1966b; Lenaerts et al., 2008). In most cases, Mtb replicates exponentially in the lung for the first 2 to 4 weeks and remains stable afterward, entering a chronic phase of infection (Gill et al., 2009). Although the outcome of the infection varies depending on the Mtb dose, the virulence of Mtb strain, and the susceptibility of the mouse strain (Franzblau et al., 2012; Nuermberger, 2017), a high dose of aerosol exposure (implantation of > ~5 × 103 CFU in the lung) of Mtb results in overwhelming infection and death within 4 to 6 weeks post-infection (PI), whereas, a low-dose infection (implantation of ~10 to 500 CFU in the lung) in TB resistant mice, such as BALB/c and C57BL/6, results in a more controlled infection by the host’s immune system, developing limited lung pathology. This may be a potential limitation, particularly in drug development, because it leads to a misinterpretation of therapeutic efficacy (Dhillon et al., 1998; Mitchison and Chang, 2009; Driver et al., 2012; Lin et al., 2012; Williams et al., 2012; Irwin et al., 2014; Lanoix et al., 2015; Irwin et al., 2016). Nevertheless, many advances in drug and regimen development for TB have been guided by results in mice, such as the validation of short-course chemotherapy by addition of pyrazinamide (PZA) and RIF (Grosset, 1978; Mitchison, 1980). Detailed mouse strains and disease models used in TB drug development will be described in the following section.
Inbred Models
Inbred mice are genetically homogeneous and have little variation or heterogeneity because they were created by mating brother/sister pairs over more than 20 generations, leading to ~99% homozygous loci within a population (Green, 1975; Festing, 1992). This might reduce experimental variability and increase study reproducibility; however, susceptibility to Mtb infection and treatment outcomes differ within inbred mouse strains (Lecoeur et al., 1989; Medina and North, 1998). Inbred strains CBA, DBA/s, C3H, 129/SvJ are highly permissive to Mtb infection, whereas BALB/c and C57BL/6 are the most resistant (Medina and North, 1998; Mitsos et al., 2000). The most widely used inbred mice are C57BL/6 and BALB/c. C57BL/6 mice infected with a moderate dose of Mtb (~1,000 CFU implantation in the lung) via aerosol develop a chronic form of pulmonary disease that progresses in several stages: expansion of the infection for the first few weeks (namely acute TB), followed by a long term chronic disease lasting at least 6 months, and finally progression to moribundity (Rhoades et al., 1997). Early bactericidal activity of INH against Mtb infection has been validated in acute TB models (Nikonenko et al., 2004; Rullas et al., 2010), whereas the sterilizing efficacy of RIF and PZA in the chronic model of TB proved to be more effective against slow or non-replicating bacilli (Nuermberger, 2011). These mice, along with Swiss outbred mice, have been used in the relapsing mouse model for determining bacteria sterilizing activity for a number or regimens (Andries et al., 2010; Nuermberger, 2011; Li S.Y. et al., 2017). More recently, a modification of the Cornell model that uses Mtb culture-filtrate to provide resuscitation-promoting factors (RPFs) to enable growth of persistent Mtb from the tissues has been developed (Liu et al., 2018). This study compared standard four-drug therapy with MOX substituted for INH in one arm and for EMB in a third arm; while the MOX for the INH arm was superior in speed of bactericidal clearance and relapse rates, none of the arms cleared RPF-dependent persistent Mtb. Using this same modification, a BDQ-containing regimen was shown to eradicate persistent Mtb in 8 weeks of treatment in comparison to RIF containing regimens that required 14 weeks (Hu et al., 2019). C57BL/6 mice fail to induce caseous necrotic pathology, including cavitary pathology, at any stage of infection; they develop uniform cellular lesions composed mainly of epithelioid cells mixed with lymphocyte aggregates in both acute and chronic stages of infection (Rhoades et al., 1997; Actor et al., 1999). The absence of a full range of characteristic lung pathology observed in human TB and their low genetic diversity are potential limitations of these mice in the realistic evaluation of drug efficacy achieved in humans (Helke et al., 2006; Hunter et al., 2007; Basaraba, 2008; Harper et al., 2012). These shortcomings have motivated the development of mouse populations such as C3HeB/FeJ, Collaborative Cross (CC), and the humanized mouse models.
The C3HeB/FeJ mice (JAX stock #000658) are a substrain of the C3H mice that carry a recessive allele in the sst 1 (super susceptibility to tuberculosis-1) locus that regulates macrophage innate response (Kramnik et al., 2000; Pan et al., 2005; Pichugin et al., 2009; Kramnik and Beamer, 2016). This mouse model overcomes some limitations observed in conventional laboratory mice in that they develop well defined heterogenous granulomas, as is seen in human TB (Pan et al., 2005; Driver et al., 2012; Harper et al., 2012; Rosenthal et al., 2012; Irwin et al., 2015; Lanoix et al., 2015). After infecting mice with low-dose Mtb via aerosol, C3HeB/FeJ mice develop three morphologically distinct types of lung lesions at about 5 weeks post infection. Irwin et al. described these three types of lesions based on cellular composition, degree of immunopathology, and control of bacterial replication as encapsulated caseous necrotic lesions (Figure 2A), granulocytic pneumonia, and cellular inflammatory lesions (Irwin et al., 2015). Unlike most humans, C3HeB/FeJ mice fail to control bacterial replication, especially in neutrophil predominant caseous necrotic lesions and pneumonia-like lesions, which may enclose more than 109 bacilli, thereby causing high morbidity within 5 to 6 weeks after infection (Driver et al., 2012; Lanoix et al., 2015; Ordonez et al., 2016). In addition, C3HeB/FeJ mice can be stimulated to form cavities more frequently by administering incomplete chemotherapy with INH, RIF, and PZA (HRZ) (Irwin et al., 2015; Lanoix et al., 2015; Ordonez et al., 2016). Moreover, some of the animals developing cavities during follow-up remained clinically healthy for at least 2 months, suggesting the opportunity to develop a retreatment or cavitary TB model. Several anti-TB drugs have demonstrated differential treatment responses in C3HeB/FeJ mice compared to BALB/c mice which do not form caseous necrotic lesions (Driver et al., 2012; Irwin et al., 2014; Irwin et al., 2016; Lanoix et al., 2015). Clofazimine (CFZ) was highly effective in BALB/c mice, but its activity was attenuated in C3HeB/FeJ mice (Irwin et al., 2014). Moreover, treatment of C3HeB/FeJ mice with a single drug often displays heterogeneous responses. For example, PZA and linezolid (LZD) monotherapy was uniformly efficacious in BALB/c mice, whereas two distinct treatment outcomes were observed in C3HeB/FeJ mice: 1) responsive and 2) less responsive (Irwin et al., 2016; Lanoix et al., 2015). The discrepancy of treatment outcome is directly linked to the presence or absence of encapsulated caseous necrotic lesions in these mice (Lanoix et al., 2015; Irwin et al., 2014; Lanoix et al., 2016b; Irwin et al., 2016). Nevertheless, a relapse model has been developed with this mouse, and it has shown the sterilization and treatment-shortening effects of PZA given beyond two months (Lanoix et al., 2016a). C3HeB/FeJ mice have also demonstrated treatment-shortening with high dose rifapentine (RFP) and CFZ in combination with INH, PZA, and EMB (Saini et al., 2019). Non-invasive positron emission tomography (PET) coupled with computed tomography (CT) imaging has been extensively employed as a tool for monitoring disease progression as well as response to TB chemotherapy. Davis et al. (2009) demonstrated an evaluation of treatment responses of several TB regimens, including the first-line TB regimen of HRZ in C3HeB/FeJ mice using [18F]-2-floro-deoxy-D-glucose (FDG) PET/CT imaging. The study has revealed that PET/CT imaging correctly identified bactericidal activity of the drug regimens as compared with standard microbiologic methods and the application of non-invasive FDG PET/CT imaging in C3HeB/FeJ mice to monitor real-time treatment response as well as disease relapse. More recently, biodistribution of radiolabeled anti-tubercular drugs including INH, RIF, and LZD has been measured in various organs of C3HeB/FeJ mice following Mtb infection using PET/CT imaging, demonstrating an in vivo option for optimizing drug doses in treatment regimens (Weinstein et al., 2012; DeMarco et al., 2015; Mota et al., 2020).
Figure 2 Illustration of granulomatous, necrotizing lesions in the lungs of the model animals experimentally infected with Mycobacterium tuberculosis. C3HeB/FeJ mouse (A); guinea pig (B); NZW rabbit (C); marmoset (D); rhesus macaque (E); and a comparative human lesion (F). Formalin-fixed, paraffin-embedded lung sections were stained with hematoxylin and eosin. The region of central necrosis in the lesions is marked with an N. Scale bars indicate 400 μm.
C3HeB/FeJ mice are also utilized as a latent TB model. Dutta et al. (2014) described the development of latent model by immunization with a recombinant BCG 6 weeks prior to Mtb aerosol infection as described in BALB/c mice (T. Zhang et al., 2009), which resulted in a reasonably stable paucibacillary infection (4 log/lung). Antibiotic treatment at 6 weeks PI with INH or RIF for 2 to 4 months resulted in mice with very low bacterial loads (<1.5 log) that could be induced to relapse with tumor necrosis factor neutralizing antibody treatment. The potent activity of bedaquiline (BDQ), observed previously in BALB/c mice, was confirmed in this immunized C3HeB/FeJ latent model of TB (Lanoix et al., 2014). C3HeB/FeJ mice have proved a versatile murine model of TB to further understanding of TB pathogenesis and developing new therapies. However, the selection that occurs through the considerable early mortality, high bacterial loads, and intra-mouse heterogeneity of lung pathology within the same experiment, may be a potential limitation of C3HeB/FeJ mice (Irwin et al., 2015; Lanoix et al., 2015). The B6J.C3-Sst1 mouse has been suggested as possible improvement to using the C3HeB/FeJ mouse for both active and LTBI models in that it contains the sst1 locus conferring formation of necrotic lesions in the background of the B6 genetic resistance factors that slow disease progression, limit the bacteria to predominantly the necrotic core rather than the surrounding cellular regions of the granuloma, and lower bacterial loads (Kramnik and Beamer, 2016; Pichugin et al., 2009). As these mice become more available, investigators may explore this possibility as another approach to model human disease.
A humanized mouse model is commonly used for the study of TB co-morbidity with HIV (Sun et al., 2007; Marsden et al., 2012; Denton et al., 2012). The humanized mouse is generated when immunodeficient mice are reconstituted with human immune systems using various methods such as transgenic expression of human genes, adoptive transfer of human peripheral blood lymphocytes (PBLs), and human stem cell transplantation (Denton and Garcia, 2011; Ito et al., 2012). Calderon et al. developed a bone marrow, liver, thymus (BLT) humanized mouse with NOD/SCID γc(null) mice by transplantation of human fetal liver and thymus-derived hematopoietic stem cells, creating a unique mouse model that retains the advantages of a mouse model with the immune system of humans (Calderon et al., 2013). BLT humanized mice infected with Mtb (106 CFU) intranasally exhibit a progressive infection in the lung with dissemination to the spleen and liver from 2 to 8 weeks PI. These mice exhibit heterogeneous lung granulomas, including caseous necrotic lesions, as well as distribution of human T cells throughout the sites of inflammation (Calderon et al., 2013). A recent study demonstrated that two regimens, HRZ and HRZM (INH, RIF, PZA, MOX), reduced lung bacterial loads similarly in humanized mice and concluded the addition of MOX with the standard TB regimen had no additional benefits, confirming similar drug efficacy observed in human trials (Arrey et al., 2019). Despite the expense of humanized mice, they have significant advantages including the availability of human immunological reagents and mimicking human immune system (Calderon et al., 2013). After Mtb infection, humanized mice have more homogeneous bacterial loads and similar heterogeneity of lesion pathology resulting in a more consistent and reproducible mouse model (Arrey et al., 2019) when compared to the C3HeB/FeJ mice, (Irwin et al., 2015; Li et al., 2015).
Collaborative Cross (CC) mice are a panel of recombinant inbred mice that are derived from eight genetically diverse sets of founder mice, consisting of five inbred laboratory strains including: C57BL/C and A/J, as well as three wild-derived lines using a specific mating scheme (Svenson et al., 2012). These mice retain a large pool of genetic diversity as individual inbred lines, allowing genotypic reproducibility (Churchill et al., 2004; Collaborative Cross, 2012). CC mice infected with Mtb via aerosol (50 to 200 CFU) exhibit a broad range of susceptibility and lesion heterogeneity between strains. Resistant strains display lymphocyte aggregates, no necrosis, and fewer neutrophils in the lungs, whereas, susceptible strains display neutrophilic inflammatory lesions and widespread necrosis in the lungs (Smith et al., 2016). The CC mice have demonstrated the role of host genetic diversity in determining TB vaccine efficacy and elucidated the basis of TB susceptibility (Smith et al., 2016). Although the response to anti-TB chemotherapy has not yet been characterized in this model, it may prove to be a valuable resource for TB drug development and HDT testing, especially if the function of the compound is host microenvironment dependent.
Outbred Models
Outbred mice are bred to maximize genetic diversity and heterozygosity within a population. Created by a rotational breeding scheme to prevent inbreeding, these mice are usually heartier and larger than inbred mice (Chia et al., 2005; Tuttle et al., 2018). Most early studies in TB drug development have been performed with outbred strains such as ICR and Swiss Webster (McCune et al., 1956; Grumbach et al., 1964; Grumbach, 1965; Grumbach et al., 1967; Grosset, 1978; Mitchison, 1980). The main advantages of outbred mice are their incomparable genetic diversity and low cost. However, there are some disadvantages of outbred mice as an experimental model: a large number of animals are required to maintain statistical power due to genetic diversity, and they are “genetically undefined”, meaning the genotype of an individual is unknown (Olson and Graham, 2014). Diversity Outbred (DO) mice are a new outbred mouse population derived from the same eight founder strains as the Collaborative Cross (CC) inbred strains (Collaborative Cross, 2012; Svenson et al., 2012) and retain the same set of genetic variants as CC mice (Churchill et al., 2004; Svenson et al., 2012; Smith et al., 2016). Niazi et al. (2015) described wide heterogeneity of responses in DO mice after low-dose Mtb infection via aerosol. DO mice exhibited three classes of response to Mtb infection based on survival, morbidity, and lung lesions at 5 weeks PI: super-susceptible, susceptible, and resistant. Recently, DO mice have been utilized for vaccine studies against TB and exhibited heterogeneous protection from Mtb infection, better modeling the diverse spectrum of outcomes in humans (Kurtz et al., 2020). Non-reproducibility of DO mice as a unique individual may be mitigated by parallel studies with inbred CC mice (Smith et al., 2016). To date, there has not been an anti-TB drug assessment reported in DO mice, but these mice may be another valuable resource for TB drug development when heterogeneity of response is desired.
Persistence Models
Latent TB refers to a clinically asymptomatic stage of infection with the presence of antigen-specific T cell responses (Barry et al., 2009). Lung lesions in individuals with latent TB have been characterized as having minimal inflammation, prominent sclerosis, fibrosis, and calcification, but PET/CT imaging has provided additional insights suggesting that these lesions are not as static as previously thought (Lenaerts et al., 2015; Esmail et al., 2014). The Cornell model is a historical mouse model of latent TB (McCune et al., 1956; McCune and Tompsett, 1956). In this model, mice are infected with a high dose of Mtb (1 to 3 × 106 CFU) intravenously and then treated with anti-tubercular drugs (INH and PZA) for 12 weeks. As a result, no viable bacilli are detected in the organs, but 90 days after termination of the drug treatment, reactivation of infection can occur spontaneously or by host immunosuppression (McCune et al., 1966b; McCune et al., 1966a; McCune et al., 1956; Flynn and Chan, 2001). Ever since first described by McCune and colleagues in the 1950s, various modified Cornell models have been developed by optimizing various parameters such as: infection dose, drug regimens, treatment length, and the antibiotic-free rest period (Scanga et al., 1999). Efficacies of several RIF or RFP containing regimens for preventive chemotherapy were measured using the Cornell model (Dhillon et al., 1996; Miyazaki et al., 1999), in which combined treatment of RFP and INH showed efficacy for short-course preventive therapy (Miyazaki et al., 1999). This model is attractive in that mice have low bacilli burden, resembling LTBI in humans; however, it can lack stability and consistency as the outcome of Cornell model-based studies depends upon a myriad of experimental parameters that are used to establish the model (Scanga et al., 1999). Another approach to creating a paucibacillary and stable Mtb population for testing LTBI regimens was to aerosol vaccinate BALB/c mice with Mb BCG before Mtb infection, avoiding the need to induce LTBI with antibiotics (Nuermberger et al., 2004). Improvements in this model by substituting a more immunogenic BGC vaccine strain (rBCG30) lowered the bacterial load further; these models showed that the combination of RFP and INH was more rapidly sterilizing than INH alone (Nuermberger et al., 2005; Zhang et al., 2009). This shorter RFP/INH regimen was later validated in humans (Sterling et al., 2016). Nevertheless, the Cornell model has been extensively utilized, particularly for drug evaluation and attempts to locate the reservoir of Mtb resulting in relapse (Dhillon et al., 1996; Miyazaki et al., 1999; Das et al., 2013; Liu et al., 2018). Operating on the hypothesis that the bone marrow is the source of Mtb in relapse, a recent study described a novel strategy for Mtb clearance post-chemotherapy, using nanoparticle-encapsulated drugs to specifically target and kill bone marrow resident Mtb in the Cornell model (Garhyan et al., 2020).
The main advantages of mice as a model are: low cost, ease of handling, low space requirements, low compound requirements, the availability of well-characterized immunological reagents, and the ability to use inbred, outbred, and transgenic strains (Franzblau et al., 2012; Harper et al., 2012; Vandamme, 2014). In particular, their genetic tractability and small compound requirement make mice the most practical model for compound assessment in the early phases of drug development (Nuermberger, 2017). There is no doubt that mice have been instrumental in TB drug development, but mouse models can differ from human disease in important ways, particularly the bacillary burden can become very high in susceptible mice, whereas less susceptible mice may not reproduce the full spectrum of lesions. Other disadvantages include metabolic differences that make modeling human-like drug exposures difficult and differences in susceptibility to toxic compounds.
Guinea Pigs: The Most Susceptible, Immune Competent Model
Dunkin–Hartley Guinea pigs (Cavia porcellus; GP) are extremely susceptible to developing tuberculosis with progressive disease and a range of lesion types, making them an attractive model for drug testing and vaccine studies (Clark et al., 2014; Martinez et al., 2019; Chan et al., 2020). These animals have been infected through aerosol generation, IV or IP injections, or instillation via the nares or trachea, although low-dose aerosols may be the most common route in recent experiments (Table 1). The time required to show weight loss and changes of feeding behavior was directly related to Mtb dose delivered and strain virulence; most Mtb strains tested have caused disease in GPs, even at very low bacterial doses (Be et al., 2011; Shang et al., 2011; Kato-Maeda et al., 2012; Bottai et al., 2020). Lesions were common in extrapulmonary sites with exacerbated disease also reflecting the virulence of the Mtb strain. Typically, a low dose (20 to 50 CFU) of Mtb was the target to seed into the lung. The chronic infection stage in the lungs occurs after ~3 weeks; control of the low-dose infection is lost at about 6 to 9 months. The lung pathology was characterized as a combination of non-necrotizing and necrotizing granulomas (Figure 2B) (Basaraba, 2008; Basaraba and Hunter, 2017). The necrotic lesions have resident bacteria in the acellular margin surrounded by a hypoxic cellular rim that was difficult to sterilize (Lenaerts et al., 2007; Via et al., 2008; Hoff et al., 2011). Cavities, however, have rarely been observed (Helke et al., 2006; Clark et al., 2014).
The Mtb infected guinea pig appears to have been the first in vivo animal model of streptomycin activity against TB (Feldman et al., 1947b; Feldman et al., 1947a). Drug evaluation in the low-dose experimental infections in GPs enjoyed a resurgence after the BALB/c and C57BL/6 mouse models’ lesion structure was pointed out to be importantly different than those of humans (Tsai et al., 2006; Lenaerts et al., 2007; Basaraba, 2008; Coleman et al., 2014a). GPs have been treated with varying doses of HRZ, occasionally including testing for relapse (Lenaerts et al., 2008; Ahmad et al., 2011b; Dutta et al., 2012). HRZ given at 10, 12, and 25 mg/kg respectively for 6 weeks resulted in about a 1.75 log reduction in CFU, while 15 mg/kg of TMC-207 (active compound in BDQ) resulted in about a 4 log reduction (Lenaerts et al., 2007). Two months of treatment with HRZ followed by 2 months of HR was found to sterilize GPs with no relapse for 4 subsequent months, and PZA was active in the GPs at doses above 150 mg/kg (Ahmad et al., 2011a; Ahmad et al., 2011b). In a higher dose infection (200 CFU) beginning treatment 6 weeks PI, 2 months of daily RIF (100 mg/kg), or RFP (100 mg/kg) in combination with INH (60 mg/kg) and PZA (300 mg/kg) were found to be equally effective in reducing lung bacterial burdens and preventing relapse in the lungs (Dutta et al., 2012). An alternative regimen, Pa-824/MOX/PZA (25 mg/kg twice daily (BID), 90 mg/kg BID and 300 mg/kg once daily (SID) respectively), was compared with HRZ (60 mg/kg, 100 mg/kg and 300 mg/kg SID respectively). All GPs were culture negative after 2 months of treatment, and there were no bacilli detected after a relapse period of 2 months post treatment cessation (Dutta et al., 2013a). More interesting was thioridazine that showed activity in mice but little dose-related activity in the GP, leading the authors to suppose that the drug was not active against the extracellular bacteria (Dutta et al., 2013b). In standard drug therapy experiments with new drugs including Delamanid (DLM or D), alone and in combination with RIF and PZA for 4 weeks, the hypoxic lesions were clearly absent in GP lungs treated with regimen DRZ, in which 100 mg/kg DLM replaced INH in the HRZ (Chen et al., 2017). These results strongly suggested that DLM has bactericidal activity against Mtb in hypoxic lesions and can speed up bacterial eradication. GPs have been used extensively in the testing of aerosol chemotherapy formulations, including dry powders and nanoparticle preparations, in part because they are somewhat amenable to multiple blood draws for pharmacokinetics/pharmacodynamic (PK/PD) studies (Hanif and Garcia-Contreras, 2012; Horváti et al., 2014; Montgomery et al., 2018).
HDTs in the Mtb guinea pig model have taken a number of approaches: from using drugs or compounds to inhibit known host pathways to adding therapeutic vaccines to chemotherapy. Tissue-targeting strategies have also been tested. Based on the observation that oxidative stress during Mtb infection could promote tissue damage, Palanisamy et al. (2011) treated GPs with the antioxidant drug N-acetyl cysteine (NAC). NAC treatment reduced necrosis of GP lesions in the lung and spleen and slowed dissemination of Mtb to the spleen. A MMP inhibitor doxycycline suppressed Mtb-dependent MMP-1 and -9 secretion from human macrophages and epithelial cells (Walker et al., 2012). In the guinea pig model, doxycycline reduced lung Mtb burden after 8 weeks in a dose-dependent manner compared with untreated animals. Mtb avoids death in the macrophage by preventing the acidification of the endosome after phagocytosis (Sturgill-Koszycki et al., 1994; Bach et al., 2008). As part of this evasion, Mtb produces factors that interact with host proteins to subvert cellular processes. As an example, Mtb promotes the activity of the host tyrosine kinases Src/Abl, leading to a reduction in phagosome maturation and autophagy; when a Sar inhibitor (AZD0530) was added to cell cultures or administered to GPs, it promoted phagosome acidification and reduced mycobacterial growth accompanied by a reduction of pathology when compared to untreated controls (Chandra et al., 2016). Targeting similar virulence features of Mtb, Dutta et al. (2016) constructed small molecule inhibitors of mycobacterial protein tyrosine phosphatases (PTPs). These PTP dephosphorylate macrophage proteins would normally lead to phagosome acidification and infected-cell apoptosis, thereby preventing bacterial killing. The inhibitors, by preventing the activity of the PTPs, allowed the macrophage to inhibit bacterial growth in cell culture and in the guinea pig (Dutta et al., 2016; Vickers et al., 2018). The therapeutic vaccination approach has treated GP tuberculosis with a range of vaccine products from a specific gene target to eradicate persistent Mtb, such as relA DNA or heat-killed organisms, as a more general immunotherapy in combination with chemotherapy (Chahar et al., 2018; Chuang et al., 2020).
Tuberculous meningitis has been studied in the GP to gauge both strain virulence and dissemination, but not extensively enough for the purposes of drug development (Brown and Clark, 1962; Be et al., 2011). Guinea pigs have also proven useful in the study of type 2 diabetes and tuberculosis. In GPs provided with sucrose–water concurrent with low-dose Mtb infection with H37Rv to generate hyperglycemia, there were more Mtb lesions in the spleen and draining lymph nodes 30 days PI (Podell et al., 2012). Sixty days PI, the sucrose GP group had more bacterial burden as well as lung and spleen lesion area when compared to the water only control group, but both groups had advanced glycation end products indicating the occurrence of hyperglycemia as a result of Mtb infection as well as diet. In a second experimental model, diabetes was primed using a diet composed of 30% fat and 40% carbohydrate (to cause glucose intolerance) (Podell et al., 2014; Podell et al., 2017). After 8 weeks of the high-fat, high-carbohydrate diet, induction of beta cell death was performed by injecting the α2-antagonist prior to injecting streptozotocin (STZ) causing frank diabetes. The diabetic GPs demonstrated altered lipid metabolism and reduced compensatory β-cell capacity, but they were responsive to antihyperglycemic therapy with 100% survival (Podell et al., 2017). GPs with uncontrolled diabetes prior to infection with Mtb, had higher Mtb bacterial burdens, more severe organ pathology and shortened survival, commiserate with the increased pathology observed (Podell et al., 2014). This model has the potential to elucidate the complex therapeutic needs of TB patients with diabetes by evaluating if a specific drug treatment strategy is efficacious in them, or if longer or more intensive treatment is needed.
Guinea pigs present many of the advantages of mice as a model system: relatively small size, ease of handling, low cost, as well as a short time-course of infection. Their high susceptibility to Mtb infection provides a model for studying variable or low virlence strains; however, their low rate of developing cavitary pathology may be a limitation to the translation of Mtb chemotherapy efficacy from this model to humans. One significant advanatage may be in modeling diabetes and TB in a host with hypoxic, complex pathology.
Rabbits: The Mtb Resistant Model Useful for Differential Compound Distribution
Rabbits (Oryctolagus cuniculus) are one of the most widely used non-rodents for studying human diseases, because although they require significant cage space, they are generally docile and easy to manage without sedation. Rabbits, including the New Zealand White (NZW) strain, are more susceptible to Mb, which can be rapidly fatal, than they are to most Mtb strains (Lurie, 1953; Dannenberg, 1994). The NZW rabbit can be infected with mycobacteria by IV, intrathecal, intrabronchial, or aerosol exposure. Lurie (Lurie, 1949, 1953) first described the range of pathological features rabbits shared with humans upon Mb exposure as ranging from: absence of evidence of disease to large caseous necrotic (Figure 2C) and cavitary pulmonary lesions (Figure 3A) that progressed within the lung by bronchogenic spread. With the currently available NZW rabbit, some Mtb Beijing (lineage 2) strains, including HN878, establish a chronic infection that includes the typical human range of disease: including necrotic pneumonia, hypoxic necrotic granulomas, liquefaction and cavitary disease that is bacterial dose dependent (Table 1) (Via et al., 2008; Tsenova et al., 2020). The bacterial load peaks 4 to 5 weeks PI, then most rabbits will develop chronic stable infection for 2 to 4 months. With prolonged infection, some rabbits will control the disease and have few residual paucibacillary lesions by 5 to 6 months; while others, with no outward signs of disease, develop large cavities (2–4 cm) containing ~106 CFU/g caseum (Via et al., 2012; Sarathy et al., 2018). In contrast, aerosol exposure to Mtb strains H37Rv and hyperimmunogenic CDC1551 has been reported to result in latent disease with very low bacterial numbers after 10 to 12 weeks, which can be reactivated by immunosuppression (Manabe et al., 2008; Kesavan et al., 2009; Subbian et al., 2012). As a confirmation of the differential virulence of Mtb strains, Tsenova et al. (2020) explored a mixed infection model with HN878 and CDC1551 and found that hypervirulent HN878 persisted and grew in the lungs, while the CDC1551 was slowly cleared. In addition, the presence of CDC1551 in the lung had only a minor influence on the host’s immunological response to HN878, suggesting that immunologic control is local rather than systemic. To date, use of this model for testing sterilization rates of LTBI treatment regimens has not been published, but it appears that the rabbit would be appropriate for this modeling although housing space could be prohibitive.
Figure 3 FDG PET/CTs of a rabbit (A), marmoset (B), and rhesus macaque (C) with cavitary disease. The animals were infected for 69 to 90 days with M. tuberculosis at the time of imaging. Cavities (blue arrows) have been partially emptied of their necrotic contents and filled with air indicated by a darker central region in the lesions (lower density) surrounded by lighter walls (higher density). The scales show the range of CT Hounsfield units from higher to low density in shades of gray (+400 to −1000) on the left and FDG uptake in PET standard uptake units/body weight from high to low uptake in bright yellow to red to black (14 to 0) on the right. The width of the animal’s midsection is indicated with a bar and label to highlight the difference in size of the three animals.
The rabbit model has been used to address questions about toxicity, PK/PD, and efficacy of anti-tuberculosis drugs including INH, RIF, PZA, the PZA metabolite pyrazinoic acid (POA), and MOX among others (Via et al., 2012; Lanoix et al., 2016c; Blanc et al., 2018b; Sarathy et al., 2019). In studies designed to test the impact of hypoxia in Mtb lesions, metronidazole (MTZ) was shown to decrease the bacterial burden of NZW rabbits infected with Mtb HN878 in contrast to the lack of MTZ activity in C57BL/6 mice (Dhillon et al., 1998; Via et al., 2008). In longitudinal studies that combined PET/CT imaging, using FDG injected IV as a probe for metabolic activity, FDG concentrated in metabolically active regions within the Mtb HN878 lesions as they developed, but as necrosis progressed, the acellular centers of granulomas and cavities accumulated less FDG due to the lack of live cells (Figure 3A) (Via et al., 2012). TB lesions were observed to progress and resolve independently in the same lung without drug treatment, and individual lesions responded differently to different drugs. Chemotherapy with either INH or RIF during chronic infection reduced bacterial loads with quantitative changes in FDG uptake, lesion CT density, and total lesion volume. FDG uptake was reduced significantly with as little as 1 week of RIF treatment, indicating that FDG uptake might report more quickly on drug activity than other measures. Another PET probe, constructed from RIF labeled with [11C] has shown that within an individual, there can be spatially heterogeneous distribution of the probe and the drug in distinct TB lesions in both rabbits and humans (Ordonez et al., 2020).
Rabbits, with their large lungs that can host a large number of lesions without significant health effects, have proven to be highly useful in evaluating drug distribution, lesion penetration and cellular accumulation of drugs in different lesion types using laser microdissection and high sensitivity MALDI-MRM-MS imaging methods (Hudock et al., 2014; Sarathy and Dartois, 2020). Through these technologies, we have learned the location of the bacteria in the lesions though their lipid content and that MOX may preferentially accumulate in foamy macrophages (Blanc et al., 2018a; Blanc et al., 2018b). In a comparison of fluoroquinolones, Sarathy et al. (2019) showed that MOX was: more active than levofloxacin and gatifloxacin in the caseum ex vivo assay, was superior in sterilizing cellular and necrotic rabbit lesions during in vivo treatment, and was predicted to be more active in the GranSim model (Pienaar et al., 2017; Blanc et al., 2018b). In a similar study, both RIF and RFP had a ≥1 penetration coefficient in cellular lesions compared to plasma, but in cavities RIF penetrated at ~1, and RFP had only 0.25 penetration coefficient compared to plasma (Rifat et al., 2018). The lower penetration of RFP into the cavities is thought to explain why RFP required four times higher dosing than the standard to improve outcomes in patients with big cavities as compared with patients without cavities. In addition, these studies may have solved the mystery of EMB’s contribution to the INH, RIF, PZA, and EMB (HRZE) regimens. EMB was shown to have sustained accumulation above the MIC in both cellular and necrotic lesions; likewise PZA’s high penetration potential may promote its slow but potent activity in necrotic lesions (Zimmerman et al., 2017; Blanc et al., 2018c). Studies of ex vivo caseum have at least partially explained the phenomena of phenotypic drug tolerance through showing that Mtb bacilli native to cavity caseum are generally non-replicating and extremely drug tolerant (Sarathy et al., 2018). Only the rifamycin’s demonstrate sterilizing activity in this unique ex vivo assay that contributes a new tool to the characterization of drug activity against slowly or non-replicating bacteria. Taken together, these studies indicate that PK/PD data from the site of infection is needed to predict drug efficacy, and that similar characterization of new compounds is necessary when choosing among similar molecules to push further into late stage development.
As tuberculosis can occur in most organs of the body, there are specialized models for some of the more common and difficult to cure extrapulmonary sites of infection. Skeletal tuberculosis is still a common occurrence in endemic countries, and it is commonly treated with extended HRZE; but as the bone is prone to abscesses, requiring surgery and debridement, and local drug concentrations are expected to be low, a number of groups have worked on implantable scaffolds containing INH and/or RIF in the NZW rabbit model of bone tuberculosis (X. Huang et al., 2016; Li D. et al., 2017). Tubercular meningitis (TBM) occurs in 1–2% of TB cases and is one of the most severe forms of TB, especially among children, so several investigators have developed adult and pediatric TBM rabbit models (Tsenova et al., 1998; Tucker et al., 2016; Jain et al., 2018; Sánchez-Garibay et al., 2018). Recently, it was determined that DLM concentrations in the brain of naïve and TBM rabbits were five-fold higher than in plasma at both the maximum and trough concentrations, although the concentration in the cerebrospinal fluid was much lower (Tucker et al., 2018). This finding was corroborated by all patients with TBM receiving DLM experiencing clinical improvement. Use of the [11C]rifampin PET probe in TBM rabbits demonstrated that RIF penetration to the brain was limited, but that like DLM, RIF concentrations were higher than the measurements in the CSF might have indicated (Tucker et al., 2018). PK modeling using the PET scan data of TBM rabbits and humans and postmortem mass spectrometry of the rabbit brain were used to predict that the RIF dose necessary to reach therapeutic levels in the brain was two to three times higher than the currently recommended pediatric dose. Often TBM treatment includes adjunctive corticosteroids added to standard therapy, but this original HDT is both toxic and only partially successful. Tsenova et al. (1998) used thalidomide to block the production of tumor necrosis factor alpha (TNFα) in combination with INH and RIF to reduce inflammation and prolong the survival of rabbits with TBM. While this approach was successful, thalidomide’s toxicity also stimulated a search for other TNFα blockers. Etanercept treatment aggravated lung pathology and caused bacteria loads in the lesions to increase, compared with infected untreated animals (Tsenova et al., 2014). The search for more selective inhibitors led to the development of phosphodiesterase-4 inhibitors. One of these compounds, CC-11050, significantly reduced inflammation and partnered well with anti-TB drugs (Kumar et al., 2019), leading to a phase 2 HDT clinical trial that evaluated CC-11050 for safety and preliminary efficacy with rifabutin-modified standard therapy in adult pulmonary TB (https://clinicaltrials.gov/ct2/show/NCT02968927). HDT approaches to spinal TB and pulmonary TB are also under study (Datta et al., 2015; Wang et al., 2018).
One of the advantages of the NZW rabbit is their natural resistance to Mtb; rabbits usually have asymptomatic disease once infected and remain healthy (without evidence of clinical signs of pain, distress, and/or discomfort) even with cavitary disease. They can be serially bled for PK/PD studies and orally dosed without sedation. This ability to measure PK/PD in the same animal that is infected and treated with a compound is highly important in that compound absorption and metabolism vary from individual to individual and may be important to understanding the antibacterial activity within the individual. The use of medical imaging has reduced the number of animals needed per group, since with a baseline image, composing groups of equal disease burden with fewer rabbits is feasible as is preforming an image-guided necropsy. Once an experiment has reached its end point, the lesions in the large lung of the rabbit can be dissected and divided for bacterial load, histology, and other assays to characterize the nature of the infection. Administering multiple aerosol doses of Mtb to pre-sensitized rabbits may produce a higher rate of cavities earlier PI for drug studies of cavitary clearance (Kübler et al., 2015). The disadvantages: as large animals, NZW rabbits are expensive to maintain, require significant space, and almost have as much drug product or investigational compound as macaque models. Thus, rabbits make a good choice for a second model of efficacy where complex pathology is required or for the specialized studies of drug/compound distribution or TBM and HDT described above.
Non-Human Primates Make Modeling Complex Disease States Similar to Human Disease Possible
Both wild and captive non-human primates (NHPs) are susceptible to Mtbc when exposed; thus it is not surprising that there is a long history of using them to study tuberculosis chemotherapy (Schmidt, 1956; Prier et al., 1964; Schmidt, 1969; Sapolsky and Else, 1987; Michel and Huchzermeyer, 1998), although they are more frequently used for vaccine studies and basic immunology investigations. Several primates have been used as models for human tuberculosis including the rhesus macaque (Macaca mulatta, RM), the cynomolgus macaque (Macaca fascicularis, CM), and more recently the common marmoset (Callithrix jacchus). The NHPs are more physiologically and immunologically similar to humans (Mothé et al., 2015), and individuals are more genetically diverse than the previously discussed models, suggesting these species may better represent the diverse outcomes resulting from Mtb infection as seen in humans (Capuano et al., 2003; Flynn et al., 2003). Numerous cross-reactive immunological reagents are available to identify the cell types that compose the granulomatous response to Mtb infection (Brok et al., 2001; Nelson and Loveday, 2014; Flynn et al., 2015). The NHPs develop the full range of human-like lesions, although the extent of disease is seldom as severe as seen in humans; for ethical reasons, as NHPs develop signs of disease including cachexia, dehydration, and mood alteration they must be treated or euthanized. The spectrum of lung disease observed in NHPs and humans includes: tuberculous pneumonia, necrotizing lesions surrounded with a fibrotic cuff (Figures 2D–F), cavities (Figures 3B, C), and solid cellular lesions (Capuano et al., 2003; Lin et al., 2013; Via et al., 2013). In addition to closely resembling human pathology, the NHP models are amenable to most diagnostic and therapeutic methods used in clinical studies, such as medical imaging (Figures 3B, C), serial blood sampling, and bronchoalveolar lavage (BAL) sampling for pharmacokinetic monitoring within an individual (Lewinsohn et al., 2006; Lin et al., 2013; Via et al., 2013). As serial imaging is feasible, methods to follow both individual lesion development and regression PI have been developed (Via et al., 2013; White et al., 2017). Once an experiment has reached its end point, these larger animals yield rich sample sets for characterization of the nature of the infection. Sampling the extrapulmonary organs such as: axillary, thoracic, inguinal, and mesenteric lymph nodes; spleen; liver; and kidney, will often identify bacteria and small granulomas. Yet, setting up these studies in shared primate facilities can be challenging not only because of the animals’ larger space requirement and expense, but also because many animal ABSL-3 facilities are reluctant to house Mtb-infected NHPs because of the highly infectious nature of Mtbc to other NHPs.
Rhesus Macaques and Cynomolgus Macaques
Some of the earliest reports of TB in NHPs were from suspected human transmission in zoos or during transport (Montali et al., 2001). Early studies were of tuberculin-hyperreactive treated with INH therapeutically to prevent worsening or transmission of disease and tuberculin negative rhesus macaques treated prophylactically (Schmidt, 1956). As early as 1953, researchers determined that some Mtb strains were more pathogenic in RMs than in others, and that pathology decreased in RMs with lower bacterial doses instilled intrabronchially (Schmidt, 1972), but all doses (10 to 10,000 CFU) were capable of causing progressive disease. Aerosol exposure with <50 CFU caused slowly progressing active disease in RMs but with more discrete pulmonary tubercles (Barclay et al., 1970). Aerosol vs intrabronchial instillation of similar bacterial doses led to similar clinical outcomes and disease burden in Indian RMs, but the pathology in the lungs differed in distribution. Disease was found to be distributed throughout the lungs with aerosol exposure, while intrabronchial instillation led to extensive localized disease near the site of bacterial delivery (Sibley et al., 2016). Walsh et al. (1996) first established the CM as a model of TB in 1996 using Mtb strain Erdman, again demonstrating that disease severity was directly proportional to the intratracheally delivered bacterial CFU. CMs exposed to >10,000 CFU universally developed rapidly progressive bilateral pneumonia and succumbed to the disease in <3 months. When exposed to <1,000 CFU, the CMs progressed slowly (mean survival rate of 5 months) with disease generally local to the instillation site. Low doses of bacilli (<100 CFU) could occasionally establish subclinical or possibly latent disease in these animals. In order to establish a more human-like proportion of asymptomatic or LTBI CMs, Capuano et al. (2003) lowered the dose of Mtb Erdman to ~25 CFU instilled by bronchoscope directly into the lower lung, resulting in ~60% of animals developing progressive disease and 40% remaining healthy and asymptomatic for over 1 year, thus establishing the asymptomatic model in the CM. Additional studies directly compared the types of macaques; by Mtb aerosol infection and utilizing either ex vivo MRI or in vivo PET/CT, it was verified that CMs are more resistant to developing active disease than RMs (Sharpe et al., 2009; Sharpe et al., 2016; Maiello et al., 2018). The exception is the Mauritian cynomolgus macaque; perhaps because of their greater genetic homogeneity due to founder effect, they have shown higher, more RM-like susceptibility to Mtb with less variability in pulmonary disease burden and gross pathology and higher monocyte to lymphocyte ratios than similarly infected RMs and Chinese origin CMs (Sharpe et al., 2017; Maiello et al., 2018; Sibley et al., 2019). The majority of studies have used Mtb strain Erdman as the infectious agent, but several studies have used the laboratory strain H37Rv, which also shows a clear dose to lesion number response from 7 to 1,000 CFU in RMs (Schmidt, 1972; Gormus et al., 2004; Lewinsohn et al., 2006; Zhang et al., 2011; Min et al., 2013; Rayner et al., 2013). These experimental infections resulted in varying levels of active vs subclinical disease, and lower infectious doses did not always result in consistent disease burden from laboratory site to site. These inconsistences led to the hypotheses that Chinese RMs are more susceptible to developing active disease than Indian RMs and/or that the Mtb H37Rv strain could be different from site to site (Ioerger et al., 2010). In contrast, RMs infected with Mtb strain CDC1551 generally developed asymptomatic disease in the absence of co-infection or immunosuppression (Mehra et al., 2011; Luo et al., 2014; Foreman et al., 2020). In summary, these NHP studies can be manipulated to develop asymptomatic to rapidly fulminate disease as needed. Investigators can fine-tune the disease presentation and rate of disease progression to suit the needs of their hypothesis by carefully choosing the NHP species, route of infection, Mtb strain, and dose. Even a RM neonatal model, through very low-dose Mtb Erdman aerosol exposure or intrabronchial instillation, has been developed (Cepeda et al., 2013). The infected infant RM developed Ghon complex-like lesions at 6 weeks PI, and histopathologic observations were consistent with early TB, but anti-TB chemotherapy has not yet been explored.
INH chemotherapy studies in NHPs began almost as early as the studies in humans, often for the purposes of saving valuable animals as much as for understanding drug action or toxicity (Schmidt et al., 1953; Schmidt, 1956). There was a long lapse in drug efficacy studies as investigations shifted to other models for reasons of both expense and ethics. The shift back to the NHP model began as the focus on granuloma structure and drug distribution differences among the different TB animal models gained attention (Aly et al., 2006; Tsai et al., 2006; Via et al., 2008). One approach to standardization has been to develop pathology scoring systems (Capuano et al., 2003; Sharpe et al., 2009). With the availability of serial medical imaging and the development of potential radiologic biomarkers for evaluating disease changes, treatment groups could include smaller numbers of animals and still demonstrate a treatment effect (Lewinsohn et al., 2006; Lin et al., 2013; Via et al., 2013; Sharpe et al., 2018; Gordaliza et al., 2019). As in the rabbit, PET/CT studies revealed that CM TB granulomas progress and resolve independently in the same lung; untreated animals often have resolving sterile lesions, and individual lesions respond differently to different drugs (Lin et al., 2013; Coleman et al., 2014a). Furthermore, the necropsy findings correlated with the overall PET/CT results, supporting their use as prognostic markers of active drug therapies for actively diseased CMs. FDG uptake in HRZE or RIF treated CM lesions significantly decreased with time, while INH treated lesions had a more mixed response. When the lesions were segregated by type, the drug-treated fibrotic, healing lesions were more likely to have reduced FDG uptake over the course of treatment. When Mtb infected CMs were treated with either linezolid (at a humanized dose) or AZD5847, a second-generation oxazolidinone (OXA), the bacterial burden in lesions was reduced, as was the percent of lesions with culturable bacteria. The total FDG uptake (or total glycolytic activity) of the OXA treated CMs decreased with treatment, and when compared with humans treated with linezolid and receiving FDG PET/CT scans, the magnitude of treatment response was similar, demonstrating the value of the model (Coleman et al., 2014a). In addition to the small molecule drugs tested above, a single-stranded oligonucleotide Aptamer was selected to bind mannose-capped lipoarabinomannan (ManLAM) on the surface of Mtb (Pan et al., 2014). The aptamer also strongly bound to the host cells’ mannose receptors, so it was tested for activity in Mtb infected mice and a small number of Chinese RMs. The aptamer treated RMs had ~50% lower bacterial burdens than the untreated animals and less evidence of granulomatous inflammation in the lung, suggesting it was able to reduce disease progression. The mechanism of action was suggested to be the reduction in ManLAM-induced immune suppression and enhancement of the antigen-presenting activity of dendritic cells. More work is needed as the sample size was limited, but the authors proposed this molecule could be developed as a new anti-TB agent or used as an adjuvant.
Additional TB drug studies have specifically targeted treatment of asymptomatic TB. In one study, the hypoxia-active drug MTZ was tested for activity in CMs confirmed to have asymptomatic TB 6 months after exposure to ~25 CFU of Mtb Erdman (Lin et al., 2012). MTZ was as effective as 2 months of INH/RIF or the standard 6 months of INH in preventing reactivation of TB through anti-TNF neutralizing antibody administration. MTZ paired with INH/RIF for 2 months also significantly reduced the bacterial burden in CMs with active TB, demonstrating that compounds with activity under hypoxic conditions could have a useful place in treating both active and latent TB. In a second study of persistent asymptomatic TB, Indian RMs were aerosol exposed to ~10 CFU Mtb CDC1551 and confirmed to have converted to mycobacteria-exposure positive (Foreman et al., 2020). Those RMs asymptomatic at 3.5 months PI were randomized to either receive treatment with INH and RFP (15 mg/kg each, once weekly for 12 weeks in diet) or left untreated. After 7 months, both groups of asymptomatic RMs were reactivated by simian immunodeficiency virus (SIV) coinfection (Mehra et al., 2011). None of the INH and RFP treated RMs developed signs of active infection within 3 months compared with 85% of the untreated RMs, suggesting the treatment prevented reactivation of asymptomatic RMs. Few recent investigations delve into TB drug activity in SIV/TB co-infected macaques, although macaques are used in modeling of HIV drug pharmacokinetics, drug interactions and efficacy, so the co-infection model will not be discussed further.
Finally, HDT administered in combination with anti-TB drugs is thought to be one approach toward achieving a shorter, more durable cure. In CMs, Winchell et al. (2020) targeted modulation of IL-1. IL-1 can contribute to inflammation and exacerbate pathology, which could reduce the activity of anti-TB compounds through limiting access to the bacilli. In addition, linezolid treatment may contribute to IL-1 promoted inflammation, so reducing IL-1 could produce more rapid bacterial killing by LZD. CMs were infected with ~12 CFU of Mtb Erdman and allowed to develop active disease for an average of 4 months, then randomly assigned to a group to receive either LZD (30 mg/kg twice daily) or LZD, and the IL-1 receptor antagonist. The two treatment groups had similar decreases in bacterial loads at the end of 4 weeks of treatment, but the combination treatment also had significantly reduced lung inflammation, suggesting that the combination could reduce patients’ residual lung pathology at the end of TB treatment, thereby improving overall health outcomes.
The advantages of the macaque models include: the excellent availability of reagents, similar PK/PD to humans, and availability of well characterized Mtb strains mentioned above from BEI Resources (Rockville, MD), including vials of a bar-coded Mtb Erdman library (Martin et al., 2017) available for direct use from BEI. The majority of macaques infected with Mtb develop a wide spectrum of human-like granulomatous lung disease. Those that developed LTBI developed one to several lesions within 3 weeks PI and then stable or regressive pathology (Coleman et al., 2014b). It is important to understand that lower-dose infections mimicking what is thought to be human-like exposure can take several months to develop a significant disease and as much as 6 months to confirm asymptomatic disease, so the time commitment for these studies is extensive. Another disadvantage is that natural infection occurs, so the absence of previous exposure to mycobacterial antigens should be confirmed by screening using an IFN-γ release assay or other method of screening and baseline lung imaging to rule out ongoing infection as recent work has confirmed that current infection with Mtb significantly protects CMs from a secondary Mtb infection (Cadena et al., 2018).
Common Marmosets: The Compound-Sparing Model of Active Disease
The common marmoset (Callithrix jacchus) model of tuberculosis was developed specifically to support drug development efforts because of their small size, relative ease of handling and breeding, pharmacologic similarity to humans for drug development, and propensity toward fraternal twins and triplets (Via et al., 2013). In addition, disease progression and treatment response in marmosets were easily monitored through the use of anesthesia and serial medical imaging protocols (Hart et al., 2004). In tuberculosis studies that combined PET/CT imaging with FDG injected intravenously as the probe, FDG concentrated in metabolically active cells within the granulomas as they developed. Later at necropsy, all lesions were identified by using the PET/CT image as a guide, excised, and sampled for histology and CFU. Marmosets were found to be highly susceptible to aerosol and intratracheal Mtb infection with the rate of disease progression and weight loss correlating to both virulence of the Mtb strain and the infectious dose (Via et al., 2013; Cadena et al., 2016). Infection with either a Beijing clade strain or Mtb strain Erdman led to a rapidly progressive disease with either coalescing necrotizing granulomas with lymphocytic cuffs or tuberculous pneumonia with a neutrophilic infiltrate, respectively. With Mtb strain CDC1551 aerosol infection with 15 to 25 bacteria, all marmosets developed primary progressive disease. In addition, the majority developed a wide spectrum of lung granulomatous lesions: solid cellular lesions, necrotizing lesions surrounded with a fibrotic cuff (Figure 2D), tuberculous pneumonia, and cavitary lesions by 6 to 7 weeks before progressing to the humane endpoint at about 10 weeks post-infection (Via et al., 2013). If a very low bacterial dose (1 CFU) was presented, then survival was extended to >300 days in one marmoset, suggesting the possibility of developing a chronic model in this NHP. While small, the marmoset is large enough for intra-animal blood sampling to determine the pharmacokinetic profile of a compound in both naïve and Mtb infected individuals (Via et al., 2015). In addition, the affected organs, primarily the lung, are large enough to dissect into individual lesions and regions of apparently normal tissue, all of which can yield information about histopathology, bacterial burden and/or biochemical or compound distribution in lesions (Beites et al., 2019).
To benchmark the Mtb-infected marmoset response to treatment, two drug regimens known to differ in their relapse rates in human clinical trials were tested: the standard four-drug combination of HRZE that has a very low relapse rate and the combination of INH and streptomycin that has been associated with higher relapse rates (Fox et al., 1999). The results suggested that the basis for improved sterilizing activity of the four-drug combination was both its faster disease volume resolution and its stronger sterilizing effect on cavitary lesions (Via et al., 2015). The compound effects on bacterial load have been assessed after 4, 6, and 8 weeks of treatment thus far, with approximately 4 log reduction compared to controls observed with HRZE, similar to other models (Via et al., 2015). Treatment of Mtb-infected marmosets with a weak active inhibitor of the Mtb cytochrome bc1-aa3 oxidase stalled disease progression and weight loss, slightly reduced bacterial loads, and reduced lesion-associated inflammation as measured by FDG uptake; however, most lesions became cavitary by 2 months (Beites et al., 2019). The measurable endpoints in this model include the typical ones: survival, changes in body weight, organ bacterial burden, and histology of residual disease at the end of treatment. Also measurable are: changes in lung disease volume and inflammation through serial PET/CT imaging, compound exposure through serial blood draws, blood chemistry changes, lesion specific bacterial burden, compound concentration and compartmentalization, and image analysis of lesion-specific treatment response to compounds and regimens all within a five month experimental protocol (Beites et al., 2019).
The advantages of the marmoset model include: 1) the relative speed in which compound activity in complex lesions like cavities and other lesion types can be determined, 2) lower space requirements and costs than the RM or CM models, 3) human-like PK/PD, and 4) lungs large enough to divide into many individual lesions allowing for a larger intra-individual sample set than can be achieved with the mouse models. In addition, while marmosets are heterogeneous, breeding pairs frequently produce twins and triplets, allowing for some homogeneity across compounds during studies. The disadvantages are expense, complexity of housing and breeding, or scarcity if buying the animals, and fewer immunological reagents than macaques.
Other In-Vivo Models Intended for TB Drug Development
In the search for an ideal TB model, investigators continue to test other animal species as models for TB and TB chemotherapy including various rats, the minipig, and the Chinese tree shrew among others (Sugawara et al., 2004; Elwood et al., 2007; Gaonkar et al., 2010; Gil et al., 2010; Zhan et al., 2014). Of these, the Wistar rat is perhaps the most well characterized, because it is a common species used for PK/PD characterization and toxicity assessment of potential therapeutics, and it would be more economical to be able to use the same species for drug efficacy studies (Gaonkar et al., 2010; Singhal et al., 2011; Foo et al., 2011; Ramani et al., 2012; Kondreddi et al., 2013; Kumar et al., 2014). The Wistar rat and Lewis rats lacked lesions with central necrosis when infected with the Mtb strains chosen by the investigators, but the two species of Cotton rat developed necrotic lesions and higher bacterial loads despite being exposed to a low dose of Mtb H37Rv (Sugawara et al., 2004; Swaim et al., 2006; Elwood et al., 2007; Singhal et al., 2011). Differential virulence of Mtb strains was observed in Wistar rats as judged by bacterial loads developed in the lung and rate of clearance, but rats exposed to a low-dose infection eventually began clearing even Mtb HN878, suggesting this rat could be developed into a LTBI model. Investigators exploring alternative methods for drug delivery, including respirable microspheres loaded with RIF or other anti-TB compounds, also often utilize the rat model (Hirota et al., 2013; Mustafa et al., 2016; Maeda et al., 2019). Infant, prepubescent, and adult minipigs have been infected with Mtb strains and explored as a model of TB and therapeutic treatment (Gil et al., 2010; Ramos et al., 2017). There is some indication that the minipig, like the rabbit, is resistant to developing severe disease unless infected with a virulent Mtb strain; the model has also been useful in constructing a safety profile for the iron-containing INH analog IQG-607 to support its clinical development (Rodrigues-Junior et al., 2017). In addition, this search has brought attention to the Chinese tree shrew, a close relative of primates, that weighs only 130–140 g. The shrew develops caseous necrotic lesions in the lungs and numerous other organ systems five to eleven weeks after IV injection with 106 CFU of the Mtb strain H37Rv. After IV injection with 103 CFU Mtb strain H37Rv, no gross disease or lesions were observed, but some tissue samples were culture positive, leading to the suggestion that the shrew could be used for LTBI studies (Zhan et al., 2014). It remains to be seen if these models will be developed further.
Summary and Concluding Remarks
No one animal model has reproduced the human presentation of TB with both the genetic heterogeneity, age-related variations, and the many co-morbidities that human TB patients exhibit when they come to the clinic (Borgdorff et al., 2000; Workneh et al., 2017; Seddon et al., 2018). The main risk factor for relapse in human clinical trials is the presence of cavitary lesions, and these lesions are thought to be important in determining the length of treatment needed for a durable cure (Benator et al., 2002; Hamilton et al., 2008). Scientists continue to infect additional animal species with Mtb searching for a model that reflects as much of the spectrum of human tuberculosis as possible, in a small and easy to maintain animal. For now, the current goal should be combining the existing models efficiently with an eye not only to assessing the change in bacterial load, but also to identifying the host environments where the compound acts on the bacteria, and the residual pathology left behind once the bacteria are eradicated.
The zebrafish model seems more suited to compound screening for anti-mycobacterial activity than the larger animals in that the larva can live in 96 well plates for the duration of automated assays where bacterial load is measured by fluorescence (Takaki et al., 2013). These assays can deliver data similar to that of macrophage and ex vivo granulomas infection models particularly identifying compounds that may be active only in the presence of host cells (L. Huang et al., 2018). The adult fish are pigmented so more traditional methods of counting bacteria are necessary. In both cases, since Mm does not require a ABSL-3, early compound evaluations can be done in ABSL-2 laboratories. Mice are the workhorses of TB drug development. Initial PK/PD is usually determined in mice as are early determinations of efficacy in acute infections while the bacilli are still replicating (Nikonenko et al., 2004; Rullas et al., 2010). It is important to note that achieving the compound concentrations that are bactericidal in in vitro assays, in vivo is not enough to identify a preclinically or clinically useful dose (Gumbo et al., 2015a; Gumbo et al., 2015b). Protein binding for compounds which should be measured for the animal model that will be used as binding is often different among animal species. The methods for measuring drug concentrations in animals and their relevant tissues can be labor intensive, and in small animals where blood sample volume and collection frequency are limited, such as mice, it may require a large number of animals. Even though mice have very different metabolism than humans and the larger animal models, dose fractionation studies to determine which exposure parameters are most important for the activity of a compound are usually conducted in mice because they are inexpensive and require small amounts of compound—see Gumbo et al. (2015a) for a fuller description.
If compounds show activity in one of the more permissive acute mouse models, then the compound is tested in a more chronic mouse model after the immune response has developed (Gill et al., 2009; Hoff et al., 2011; Nuermberger, 2011). But at this point, only the intracellular activity of the compound has been assessed, so the choice of a model with extracellular bacteria populations becomes important as does the pathology the infection model develops. The C3HeB/FeJ mice, humanized mouse, GPs, rabbits, and NHP all develop populations of extracellular bacteria embedded in necrotic inflammatory cell debris within the lung both as regions of necrotic pneumonia and necrotic granulomas. The C3HeB/FeJ mice, rabbits, marmosets, and the two macaques develop cavities during infection and may have significant residual lung pathology at the conclusion of the therapy. One gap in our knowledge is just how similar the cavities in these models and human cavities are; another is if the strains we are using to generate these lesions represent enough of the Mtb heterogeneity for drug development purposes (Bottai et al., 2020).
Mouse lungs are usually processed for bacterial loads as a single sample, so differentiation of the bacterial load in specific pathological structures is not usually available, whereas this type of data is collected with rabbits, marmosets, and macaques allowing for estimates of lesion-specific bactericidal activity by pathologic assessment (Coleman et al., 2014a; Via et al., 2015; Sarathy et al., 2019). Recently, antibiotic therapy was shown to alter the number of some antigen-specific T-cells (Chuang et al., 2020), suggesting that there may be specific advantages to animal models like the rabbit that form cavities without requiring antibiotic treatment or vaccination to support survival. The inclusion of determining drug concentrations in both blood, naïve lung tissue, and lesion tissues is recommended as tissue penetration is often different among lesions and organs (Kjellsson et al., 2012; Prideaux et al., 2015; Ordonez et al., 2020). These studies are more easily accomplished in rabbits which have large lungs to host many lesions with few signs of clinical disease. Compound absorption and metabolism vary from individual to individual and can influence compound efficacy estimates. Sufficient blood sampling to estimate an individual animal’s compound exposure is ideal, thus using rabbit, marmoset, or macaques in late stage testing to estimate the effect of this variability is important as well as tissue collection for drug concentrations at the experimental endpoint.
Once a compound is ready to be combined with other drugs into possible regimens, a model of sterilization and relapse is usually employed. These were traditionally done in BALB/c mice, but recent efforts have developed a C3HeB/FeJ model that relapses in the same lung regions as earlier lesions (Murawski et al., 2014; Lanoix et al., 2016a). The macaques have also been used for detecting relapse using immunologic manipulation to speed relapse (Lin et al., 2012). Among the existing LTBI animal models, the Cornell model adaption in the BALB/c, C3HeB/FeJ mouse, and GP is treated with INH and other drugs to induce a state modeling LTBI. Aerosol vaccination of these mice with recombinant BCG also makes a reproducible model that produced sterilizing results encouragingly similar to those in humans (Nuermberger et al., 2005; Zhang et al., 2009; Dutta et al., 2014). As more of the human population is vaccinated with Mb BCG, these models may have even more relevance. In the more Mtb resistant models like the NZW rabbit and the macaques, LTBI can develop without treatment under specific infection conditions. The macaque LTBI models were shown to respond to the same LTBI treatments as humans (Lin et al., 2012; Foreman et al., 2020), but the rabbit LTBI model has not been similarly tested. These more resistant models deserve further development in order to standardize the models for future therapeutic testing.
Combination anti-TB drug treatment and HDT may be necessary to shorten treatment to 4 months or less and to reduce the residual lung pathology that remains at the end of treatment. One phosphodiesterase-4 inhibitor HDT that reduces pathology has shown promise in the rabbit and has moved into human trials (Subbian et al., 2016). Other HDTs have significantly reduced lung inflammation in CM (Winchell et al., 2020). Therapeutic vaccination as an HDT in combination with antibiotics was an effective approach to shorten TB treatment and/or reduce relapse rates in mice and guinea pigs (Chuang et al., 2020). Yet to be addressed are the complex questions related to why some human patients seem to be cured of Mtb and yet have remaining debilitating lung pathology (Malherbe et al., 2016; Lawal et al., 2020). Depending on the mechanism of action of these adjunctive therapies, some model species with greater similarity to humans may be more appropriate than others. For compounds with exceptional tissue distribution or that appear to cross the blood brain barrier, specialized bone TB and TBM models have been developed in GPs and rabbits. Two major co-morbidities of tuberculosis, HIV co-infection and diabetes have been developed and characterized in macaques and GP, respectively.
It is an exciting time in the effort to end tuberculosis. There are several new agents that have been approved for use in humans, several more in phase 2 clinical trials, and many researchers actively contributing compounds to the pipeline. To characterize these new agents, we must mindfully select additional in vivo tools that provide lesion-specific activity and compound exposure and distribution data to support their further development including support for composing regimens predicted to achieve the most rapid cure. And finally, the heterogeneity of both humans and the Mtb strains they are exposed to means that modeling TB requires models of multiple sizes and styles.
Author Contributions
H-JY, DW, XW, DMW, and LV wrote the manuscript. DMW edited the draft manuscript. All authors contributed to the article and approved the submitted version.
Funding
This work was supported in part by the intramural research program of NIAID and in part by the Bill and Melinda Gates Foundation (OPP1162695 to Clifton E. Barry 3rd). DW is the recipient of NSFC grants 31772709 and 31572485.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
Actor, J. K., Olsen, M., Jagannath, C., Hunter, R. L. (1999). Relationship of survival, organism containment, and granuloma formation in acute murine tuberculosis. J. Interferon Cytokine Res. 19 (10), 1183–1193. doi: 10.1089/107999099313136
Ahmad, Z., Fraig, M. M., Bisson, G. P., Nuermberger, E. L., Grosset, J. H., Karakousis, P. C. (2011a). Dose-dependent activity of pyrazinamide in animal models of intracellular and extracellular tuberculosis infections. Antimicrob. Agents Chemother. 55 (4), 1527–1532. doi: 10.1128/AAC.01524-10
Ahmad, Z., Fraig, M. M., Pinn, M. L., Tyagi, S., Nuermberger, E. L., Grosset, J. H., et al. (2011b). Effectiveness of tuberculosis chemotherapy correlates with resistance to Mycobacterium tuberculosis infection in animal models. J. Antimicrob. Chemother. 66 (7), 1560–1566. doi: 10.1093/jac/dkr188
Aldridge, B. B., Keren, I., Fortune, S. M. (2014). The Spectrum of Drug Susceptibility in Mycobacteria. Microbiol. Spectr. 2 (5), MGM2-0031-2013. doi: 10.1128/microbiolspec.MGM2-0031-2013
Aly, S., Wagner, K., Keller, C., Malm, S., Malzan, A., Brandau, S., et al. (2006). Oxygen status of lung granulomas in Mycobacterium tuberculosis-infected mice. J. Pathol. 210 (3), 298–305. doi: 10.1002/path.2055
Andries, K., Gevers, T., Lounis, N. (2010). Bactericidal potencies of new regimens are not predictive of their sterilizing potencies in a murine model of tuberculosis. Antimicrob. Agents Chemother. 54 (11), 4540–4544. doi: 10.1128/AAC.00934-10
Arrey, F., Lowe, D., Kuhlmann, S., Kaiser, P., Moura-Alves, P., Krishnamoorthy, G., et al. (2019). Humanized Mouse Model Mimicking Pathology of Human Tuberculosis for in vivo Evaluation of Drug Regimens. Front. Immunol. 10:89. doi: 10.3389/fimmu.2019.00089
Aspatwar, A., Hammarén, M., Koskinen, S., Luukinen, B., Barker, H., Carta, F., et al. (2017). β-CA-specific inhibitor dithiocarbamate Fc14-584B: a novel antimycobacterial agent with potential to treat drug-resistant tuberculosis. J. Enzyme Inhib. Med. Chem. 32 (1), 832–840. doi: 10.1080/14756366.2017.1332056
Bach, H., Papavinasasundaram, K. G., Wong, D., Hmama, Z., Av-Gay, Y. (2008). Mycobacterium tuberculosis virulence is mediated by PtpA dephosphorylation of human vacuolar protein sorting 33B. Cell Host Microbe 3 (5), 316–322. doi: 10.1016/j.chom.2008.03.008
Barclay, W. R., Anacker, R. L., Brehmer, W., Leif, W., Ribi, E. (1970). Aerosol-Induced Tuberculosis in Subhuman Primates and the Course of the Disease After Intravenous BCG Vaccination. Infect. Immun. 2 (5), 574–582. doi: 10.1128/IAI.2.5.574-582.1970
Barry, C.E., 3., Boshoff, H. I., Dartois, V., Dick, T., Ehrt, S., Flynn, J., et al. (2009). The spectrum of latent tuberculosis: rethinking the biology and intervention strategies. Nat. Rev. Microbiol. 7 (12), 845–855. doi: 10.1038/nrmicro2236
Basaraba, R. J., Hunter, R. L. (2017). Pathology of Tuberculosis: How the Pathology of Human Tuberculosis Informs and Directs Animal Models. Microbiol. Spectr. 5 (3). doi: 10.1128/microbiolspec.TBTB2-0029-2016
Basaraba, R. J. (2008). Experimental tuberculosis: the role of comparative pathology in the discovery of improved tuberculosis treatment strategies. Tuberculosis (Edinb) 88 Suppl 1, S35–S47. doi: 10.1016/S1472-9792(08)70035-0
Be, N. A., Klinkenberg, L. G., Bishai, W. R., Karakousis, P. C., Jain, S. K. (2011). Strain-dependent CNS dissemination in guinea pigs after Mycobacterium tuberculosis aerosol challenge. Tuberculosis (Edinb) 91 (5), 386–389. doi: 10.1016/j.tube.2011.07.003
Beites, T., O’Brien, K., Tiwari, D., Engelhart, C. A., Walters, S., Andrews, J., et al (2019). Plasticity of the Mycobacterium tuberculosis respiratory chain and its impact on tuberculosis drug development. Nat. Commun. 10 (1), 4970. doi: 10.1038/s41467-019-12956-2
Belon, C., Gannoun-Zaki, L., Lutfalla, G., Kremer, L., Blanc-Potard, A. B.. (2014). Mycobacterium marinum MgtC plays a role in phagocytosis but is dispensable for intracellular multiplication. PloS One 9 (12), e116052. doi: 10.1371/journal.pone.0116052
Benator, D., Bhattacharya, M., Bozeman, L., Burman, W., Cantazaro, A., Chaisson, R., et al. (2002). Rifapentine and isoniazid once a week versus rifampicin and isoniazid twice a week for treatment of drug-susceptible pulmonary tuberculosis in HIV-negative patients: a randomised clinical trial. Lancet 360 (9332), 528–534. doi: 10.1016/s0140-6736(02)09742-8
Berg, R. D., Ramakrishnan, L. (2012). Insights into tuberculosis from the zebrafish model. Trends Mol. Med. 18 (12), 689–690. doi: 10.1016/j.molmed.2012.10.002
Bernut, A., Nguyen-Chi, M., Halloum, I., Herrmann, J. L., Lutfalla, G., Kremer, L. (2016). Mycobacterium abscessus-Induced Granuloma Formation Is Strictly Dependent on TNF Signaling and Neutrophil Trafficking. PloS Pathog. 12 (11), e1005986. doi: 10.1371/journal.ppat.1005986
Blanc, L., Daudelin, I. B., Podell, B. K., Chen, P. Y., Zimmerman, M., Martinot, A. J., et al. (2018a). High-resolution mapping of fluoroquinolones in TB rabbit lesions reveals specific distribution in immune cell types. Elife 7. doi: 10.7554/eLife.41115
Blanc, L., Lenaerts, A., Dartois, V., Prideaux, B. (2018b). Visualization of Mycobacterial Biomarkers and Tuberculosis Drugs in Infected Tissue by MALDI-MS Imaging. Anal. Chem. 90 (10), 6275–6282. doi: 10.1021/acs.analchem.8b00985
Blanc, L., Sarathy, J. P., Alvarez Cabrera, N., O’Brien, P., Dias-Freedman, I., Mina, M., et al. (2018c). Impact of immunopathology on the antituberculous activity of pyrazinamide. J. Exp. Med. 215 (8), 1975–1986. doi: 10.1084/jem.20180518
Borgdorff, M. W., Nagelkerke, N. J., Dye, C., Nunn, P. (2000). Gender and tuberculosis: a comparison of prevalence surveys with notification data to explore sex differences in case detection. Int. J. Tuberc. Lung Dis. 4 (2), 123–132.
Bottai, D., Frigui, W., Sayes, F., Di Luca, M., Spadoni, D., Pawlik, M., et al. (2020). TbD1 deletion as a driver of the evolutionary success of modern epidemic Mycobacterium tuberculosis lineages. Nat. Commun. 11 (1), 684. doi: 10.1038/s41467-020-14508-5
Brennan, P. J. (2003). Structure, function, and biogenesis of the cell wall of Mycobacterium tuberculosis. Tuberculosis (Edinb) 83 (1-3), 91–97. doi: 10.1016/s1472-9792(02)00089-6
Brites, D., Gagneux, S. (2017). The Nature and Evolution of Genomic Diversity in the Mycobacterium tuberculosis Complex. Adv. Exp. Med. Biol. 1019, 1–26. doi: 10.1007/978-3-319-64371-7_1
Brok, H. P., Hornby, R. J., Griffiths, G. D., Scott, L. A., Hart, B. A. (2001). An extensive monoclonal antibody panel for the phenotyping of leukocyte subsets in the common marmoset and the cotton-top tamarin. Cytometry 45 (4), 294–303. doi: 10.1002/1097-0320(20011201)45:4<294::aid-cyto10002>3.0.co;2-c
Brown, C. D., Clark, M. E. (1962). Study of unclassified acid-fast bacilli and strains of Mycobacterium tuberculosis by inoculation of the cisterna magna of guinea pigs. J. Bacteriol. 83 (3), 688–689. doi: 10.1128/jb.83.3.688-689.1962
Cadena, A. M., Klein, E. C., White, A. G., Tomko, J. A., Chedrick, C. L., Reed, J. A., et al. (2016). Very Low Doses of Mycobacterium tuberculosis Yield Diverse Host Outcomes in Common Marmosets (Callithrix jacchus). Comp. Med. 66 (5), 412–419.
Cadena, A. M., Hopkins, F. F., Maiello, P., Carey, A. F., et al. (2018). Concurrent infection with Mycobacterium tuberculosis confers robust protection against secondary infection in macaques. PloS Pathog. 14 (10), e1007305. doi: 10.1371/journal.ppat.1007305
Calderon, V. E., Valbuena, G., Goez, Y., Judy, B. M., et al. (2013). A humanized mouse model of tuberculosis. PloS One 8 (5), e63331. doi: 10.1371/journal.pone.0063331
Capuano, S.V. ,. 3., Croix, D. A., Pawar, S., Zinovik, A., et al. (2003). Experimental Mycobacterium tuberculosis infection of cynomolgus macaques closely resembles the various manifestations of human M. tuberculosis infection. Infect. Immun. 71 (10), 5831–5844. doi: 10.1128/iai.71.10.5831-5844.2003
Cepeda, M., Salas, M., Folwarczny, J., Leandro, A. C., et al. (2013). Establishment of a neonatal rhesus macaque model to study Mycobacterium tuberculosis infection. Tuberculosis (Edinb) 93 Suppl, S51–S59. doi: 10.1016/S1472-9792(13)70011-8
Chahar, M., Rawat, K. D., Reddy, P. V. J., Gupta, U. D., et al. (2018). Potential of adjunctive Mycobacterium w (MIP) immunotherapy in reducing the duration of standard chemotherapy against tuberculosis. Indian J. Tuberc. 65 (4), 335–344. doi: 10.1016/j.ijtb.2018.08.004
Chan, E. D., Verma, D., Ordway, D. J. (2020). Animal Models of Mycobacteria Infection. Curr. Protoc. Immunol. 129 (1), e98. doi: 10.1002/cpim.98
Chandra, P., Rajmani, R. S., Verma, G., Bhavesh, N. S., et al. (2016). Targeting Drug-Sensitive and -Resistant Strains of Mycobacterium tuberculosis by Inhibition of Src Family Kinases Lowers Disease Burden and Pathology. mSphere 1 (2). doi: 10.1128/mSphere.00043-15
Chen, X., Hashizume, H., Tomishige, T., Nakamura, I., et al. (2017). Delamanid Kills Dormant Mycobacteria In Vitro and in a Guinea Pig Model of Tuberculosis. Antimicrob. Agents Chemother. 61 (6). doi: 10.1128/AAC.02402-16
Chia, R., Achilli, F., Festing, M. F., Fisher, E. M. (2005). The origins and uses of mouse outbred stocks. Nat. Genet. 37 (11), 1181–1186. doi: 10.1038/ng1665
Chuang, Y. M., Dutta, N. K., Gordy, J. T., Campodónico, V. L., Pinn, M. L., Markham, R. B., et al. (2020). Antibiotic Treatment Shapes the Antigenic Environment During Chronic TB Infection, Offering Novel Targets for Therapeutic Vaccination. Front. Immunol. 11, 680. doi: 10.3389/fimmu.2020.00680
Churchill, G. A., Airey, D. C., Allayee, H., Angel, J. M., Attie, A. D., Beatty, J., et al. (2004). The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nat. Genet. 36 (11), 1133–1137. doi: 10.1038/ng1104-1133
Clark, S. O., Hall, Y., Kelly, D. L., Hatch, G. J., Williams, A. (2011). Survival of Mycobacterium tuberculosis during experimental aerosolization and implications for aerosol challenge models. J. Appl. Microbiol. 111 (2), 350–359. doi: 10.1111/j.1365-2672.2011.05069.x
Clark, S., Hall, Y., Williams, A. (2014). Animal models of tuberculosis: Guinea pigs. Cold Spring Harb. Perspect. Med. 5 (5):a018572. doi: 10.1101/cshperspect.a018572
Coleman, M. T., Chen, R. Y., Lee, M., Lin, P. L., Dodd, L. E., Maiello, P., et al. (2014a). PET/CT imaging reveals a therapeutic response to oxazolidinones in macaques and humans with tuberculosis. Sci. Transl. Med. 6 (265), 265ra167. doi: 10.1126/scitranslmed.3009500
Coleman, M. T., Maiello, P., Tomko, J., Frye, L. J., Fillmore, D., Janssen, C., et al. (2014b). Early Changes by (18)Fluorodeoxyglucose positron emission tomography coregistered with computed tomography predict outcome after Mycobacterium tuberculosis infection in cynomolgus macaques. Infect. Immun. 82 (6), 2400–2404. doi: 10.1128/IAI.01599-13
Collaborative Cross, Consortium (2012). The genome architecture of the Collaborative Cross mouse genetic reference population. Genetics 190 (2), 389–401. doi: 10.1534/genetics.111.132639
Commandeur, S., Iakobachvili, N., Sparrius, M., Nur, M. M., Mukamolova, G. V., Bitterd, W. (2020). Zebrafish Embryo Model for Assessment of Drug Efficacy on Mycobacterial Persisters. Antimicrob. Agents Chemother. 64 (10). doi: 10.1128/AAC.00801-20
Cosma, C. L., Humbert, O., Ramakrishnan, L. (2004). Superinfecting mycobacteria home to established tuberculous granulomas. Nat. Immunol. 5 (8), 828–835. doi: 10.1038/ni1091
Cosma, C. L., Swaim, L. E., Volkman, H., Ramakrishnan, L., Davis, J. M., et al. (2006). Zebrafish and frog models of Mycobacterium marinum infection. Curr. Protoc. Microbiol. doi: 10.1002/0471729256.mc10b02s3. Chapter 10: Unit 10B.2.
Cronan, M. R., Beerman, R. W., Rosenberg, A. F., Saelens, J. W., Johnson, M. G., Oehlers, S. H., et al. (2016). Macrophage Epithelial Reprogramming Underlies Mycobacterial Granuloma Formation and Promotes Infection. Immunity 45 (4), 861–876. doi: 10.1016/j.immuni.2016.09.014
Dalton, J. P., Uy, B., Okuda, K. S., Hall, C. J., Denny, W. A., Crosier, P. S., et al. (2017). Screening of anti-mycobacterial compounds in a naturally infected zebrafish larvae model. J. Antimicrob. Chemother. 72 (2), 421–427. doi: 10.1093/jac/dkw421
Dannenberg, A. M., Jr. (1994). “Rabbit model of tuberculosis,” in Tuberculosis: pathogensis, protection, and control. Ed. Bloom, B. R. (Washington, D.C: American Society for Microbiology), 149–156.
Das, B., Kashino, S. S., Pulu, I., Kalita, D., Swami, V., Yeger, H., et al. (2013). CD271(+) bone marrow mesenchymal stem cells may provide a niche for dormant Mycobacterium tuberculosis. Sci. Transl. Med. 5 (170), 170ra13. doi: 10.1126/scitranslmed.3004912
Datta, M., Via, L. E., Kamoun, W. S., Liu, C., Chen, W., Seano, G., et al. (2015). Anti-vascular endothelial growth factor treatment normalizes tuberculosis granuloma vasculature and improves small molecule delivery. Proc. Natl. Acad. Sci. U.S.A. 112 (6), 1827–1832. doi: 10.1073/pnas.1424563112
Davis, J. M., Ramakrishnan, L. (2009). The role of the granuloma in expansion and dissemination of early tuberculous infection. Cell 136 (1), 37–49. doi: 10.1016/j.cell.2008.11.014
Davis, S. L., Nuermberger, E. L., Um, P. K., Vidal, C., Jedynak, B., Pomper, M. G., et al. (2009). Noninvasive pulmonary [18F]-2-fluoro-deoxy-D-glucose positron emission tomography correlates with bactericidal activity of tuberculosis drug treatment. Antimicrob. Agents Chemother. 53 (11), 4879–4884. doi: 10.1128/AAC.00789-09
DeMarco, V. P., Ordonez, A. A., Klunk, M., Prideaux, B., Wang, H., Zhuo, Z., et al. (2015). Determination of [11C]rifampin pharmacokinetics within Mycobacterium tuberculosis-infected mice by using dynamic positron emission tomography bioimaging. Antimicrob. Agents Chemother. 59 (9), 5768–5774. doi: 10.1128/AAC.01146-15
Denton, P. W., Garcia, J. V. (2011). Humanized mouse models of HIV infection. AIDS Rev. 13 (3), 135–148.
Denton, P. W., Olesen, R., Choudhary, S. K., Archin, N. M., Wahl, A., Swanson, M. D., et al. (2012). Generation of HIV latency in humanized BLT mice. J. Virol. 86 (1), 630–634. doi: 10.1128/JVI.06120-11
Dhillon, J., Dickinson, J. M., Sole, K., Mitchison, D. A. (1996). Preventive chemotherapy of tuberculosis in Cornell model mice with combinations of rifampin, isoniazid, and pyrazinamide. Antimicrob. Agents Chemother. 40 (3), 552–555. doi: 10.1128/AAC.40.3.552
Dhillon, J., Allen, B. W., Hu, Y. M., Coates, A. R., Mitchison, D. A. (1998). Metronidazole has no antibacterial effect in Cornell model murine tuberculosis. Int. J. Tuberc. Lung Dis. 2 (9), 736–742.
Driver, E. R., Ryan, G. J., Hoff, D. R., Irwin, S. M., Basaraba, R. J., Kramnik, I., et al. (2012). Evaluation of a mouse model of necrotic granuloma formation using C3HeB/FeJ mice for testing of drugs against Mycobacterium tuberculosis. Antimicrob. Agents Chemother. 56 (6), 3181–3195. doi: 10.1128/AAC.00217-12
Dutta, N. K., Illei, P. B., Peloquin, C. A., Pinn, M. L., Mdluli, K. E., Nuermberger, E. L., et al. (2012). Rifapentine is not more active than rifampin against chronic tuberculosis in guinea pigs. Antimicrob. Agents Chemother. 56 (7), 3726–3731. doi: 10.1128/aac.00500-12
Dutta, N. K., Alsultan, A., Gniadek, T. J., Belchis, D. A., Pinn, M. L., Mdluli, K. E., et al. (2013a). Potent rifamycin-sparing regimen cures guinea pig tuberculosis as rapidly as the standard regimen. Antimicrob. Agents Chemother. 57 (8), 3910–3916. doi: 10.1128/aac.00761-13
Dutta, N. K., Pinn, M. L., Zhao, M., Karakousis, P. C.. (2013b). Thioridazine lacks bactericidal activity in an animal model of extracellular tuberculosis. J. Antimicrob. Chemother. 68 (6), 1327–1330. doi: 10.1093/jac/dkt037
Dutta, N. K., Illei, P. B., Jain, S. K., Karakousis, P. C. (2014). Characterization of a novel necrotic granuloma model of latent tuberculosis infection and reactivation in mice. Am. J. Pathol. 184 (7), 2045–2055. doi: 10.1016/j.ajpath.2014.03.008
Dutta, N. K., He, R., Pinn, M. L., He, Y., Burrows, F., Zhang, Z. Y., et al. (2016). Mycobacterial Protein Tyrosine Phosphatases A and B Inhibitors Augment the Bactericidal Activity of the Standard Anti-tuberculosis Regimen. ACS Infect. Dis. 2 (3), 231–239. doi: 10.1021/acsinfecdis.5b00133
Elwood, R. L., Wilson, S., Blanco, J. C., Yim, K., Pletneva, L., Nikonenko, B., et al. (2007). The American cotton rat: a novel model for pulmonary tuberculosis. Tuberculosis (Edinb) 87 (2), 145–154. doi: 10.1016/j.tube.2006.07.001
Esmail, H., Barry, C. E., Young, D. B., Wilkinson, R. J. (2014). The ongoing challenge of latent tuberculosis. Philos. Trans. R. Soc. Lond. B, Biol. Sci. 369 (1645), 20130437. doi: 10.1098/rstb.2013.0437
Feldman, W. H., Hinshaw, H. C., Karlson, A. G. (1947a). Frequency of administration of streptomycin; its influence on results of treatment of tuberculosis in guinea pigs. Am. Rev. Tuberc. 55 (5), 435–443. doi: 10.1164/art.1947.55.5.435
Feldman, W. H., Karlson, A. G., Hinshaw, H. C. (1947b). Streptomycin in experimental tuberculosis: the effects in guinea pigs following infection in intravenous inoculation. Am. Rev. Tuberc. 56 (4), 346–359.
Fenaroli, F., Repnik, U., Xu, Y., Johann, K., Van Herck, S., Dey, P., et al. (2018). Enhanced Permeability and Retention-like Extravasation of Nanoparticles from the Vasculature into Tuberculosis Granulomas in Zebrafish and Mouse Models. ACS Nano 12 (8), 8646–8661. doi: 10.1021/acsnano.8b04433
Festing, M. F. W. (1992). “From character to gene: Some strategies for identifying single genes controlling behavioral characters,” in Techniques for the genetic analysis of brain and behavior: Focus on the mouse. Eds. Goldowitz, D., Wahlsten, D., Wimer, R. E. (Elsevier Science), 17–38. In Techniques in the behavioral and neural sciences.
Flynn, J. L., Chan, J. (2001). Tuberculosis: latency and reactivation. Infect. Immun. 69 (7), 4195–4201. doi: 10.1128/IAI.69.7.4195-4201.2001
Flynn, J. L., Capuano, S. V., Croix, D., Pawar, S., Myers, A., Zinovik, A., et al. (2003). Non-human primates: a model for tuberculosis research. Tuberculosis (Edinb) 83 (1–3), 116–118. doi: 10.1016/s1472-9792(02)00059-8
Flynn, J. L., Gideon, H. P., Mattila, J. T., Lin, P. L. (2015). Immunology studies in non-human primate models of tuberculosis. Immunol. Rev. 264 (1), 60–73. doi: 10.1111/imr.12258
Foo, D. G., Tay, H. C., Siew, J. Y., Singhal, A., Camacho, L., Bifani, P., et al. (2011). T cell monitoring of chemotherapy in experimental rat tuberculosis. Antimicrob. Agents Chemother. 55 (8), 3677–3683. doi: 10.1128/aac.00136-11
Foreman, T. W., Bucsan, A. N., Mehra, S., Peloquin, C., Doyle, L. A., Russell-Lodrigue, K., et al. (2020). Isoniazid and Rifapentine Treatment Eradicates Persistent Mycobacterium tuberculosis in Macaques. Am. J. Respir. Crit. Care Med. 201 (4), 469–477. doi: 10.1164/rccm.201903-0646OC
Fox, W., Ellard, G. A., Mitchison, D. A. (1999). Studies on the treatment of tuberculosis undertaken by the British Medical Research Council tuberculosis units 1946-1986, with relevant subsequent publications. Int. J. Tuberc. Lung Dis. 3 (10 Suppl 2), S231–S279.
Fox, J. G., Anderson, L. C., Otto, G. M., Pritchett-Corning, K. R., Whary, M. T. (Eds.) (2015). Laboratory Animal Medicine. 3rd ed. (Cambridge, MA: Academic Press).
Franzblau, S. G., DeGroote, M. A., Cho, S. H., Andries, K., Nuermberger, E., Orme, I. M., et al. (2012). Comprehensive analysis of methods used for the evaluation of compounds against Mycobacterium tuberculosis. Tuberculosis (Edinb) 92 (6), 453–488. doi: 10.1016/j.tube.2012.07.003
Gaonkar, S., Bharath, S., Kumar, N., Balasubramanian, V., Shandil, R. K. (2010). Aerosol infection model of tuberculosis in wistar rats. Int. J. Microbiol. 2010, 426035. doi: 10.1155/2010/426035
Garhyan, J., Mohan, S., Rajendran, V., Bhatnagar, R. (2020). Preclinical Evidence of Nanomedicine Formulation to Target Mycobacterium tuberculosis at Its Bone Marrow Niche. Pathogens 9 (5), 372. doi: 10.3390/pathogens9050372
Gil, O., Díaz, I., Vilaplana, C., Tapia, G., Díaz, J., Fort, M., et al. (2010). Granuloma encapsulation is a key factor for containing tuberculosis infection in minipigs. PloS One 5 (4), e10030. doi: 10.1371/journal.pone.0010030
Gill, W. P., Harik, N. S., Whiddon, M. R., Liao, R. P., Mittler, J. E., Sherman, D. R. (2009). A replication clock for Mycobacterium tuberculosis. Nat. Med. 15 (2), 211–214. doi: 10.1038/nm.1915
Global Tuberculosis Report (2020). World Health Organisation (Geneva). https://www.who.int/publications/i/item/9789240013131.
Gordaliza, P. M., Muñoz-Barrutia, A., Via, L. E., Sharpe, S., Desco, M., Vaquero, J. J.. (2019). Computed Tomography-Based Biomarker for Longitudinal Assessment of Disease Burden in Pulmonary Tuberculosis. Mol. Imaging Biol. 21 (1), 19–24. doi: 10.1007/s11307-018-1215-x
Gordon, S. V., Parish, T. (2018). Microbe Profile: Mycobacterium tuberculosis: Humanity’s deadly microbial foe. Microbiology 164 (4), 437–439. doi: 10.1099/mic.0.000601
Gormus, B. J., Blanchard, J. L., Alvarez, X. H., Didier, P. J. (2004). Evidence for a rhesus monkey model of asymptomatic tuberculosis. J. Med. Primatol. 33 (3), 134–145. doi: 10.1111/j.1600-0684.2004.00062.x
Green, M. C. (1975). “The Laboratory Mouse, Mus musculus,” in Handbook of Genetics. Ed. King, R. C. (Boston MA: Springer).
Grosset, J. (1978). The sterilizing value of rifampicin and pyrazinamide in experimental short-course chemotherapy. Bull. Int. Union Tuberc. 53 (1), 5–12. doi: 10.1016/0041-3879(78)90007-7
Grumbach, F., Canetti, G., Grosset, J. (1964). Further Experiments on Long-Term Chemotherapy of Advanced Murine Tuberculosis, with Emphasis on Intermittent Regimes. Tubercle 45, 125–135. doi: 10.1016/s0041-3879(64)80070-2
Grumbach, F., Canetti, G., Grosset, J., le Lirzin, M. (1967). Late results of long-term intermittent chemotherapy of advanced, murine tuberculosis: limits of the murine model. Tubercle 48 (1), 11–26. doi: 10.1016/s0041-3879(67)80047-3
Grumbach, F. (1965). Experimental basis for the chemotherapy of tuberculosis. Antimicrob. Agents Chemother. (Bethesda) 5, 1058–1064.
Gumbo, T., Angulo-Barturen, I., Ferrer-Bazaga, S. (2015a). Pharmacokinetic-pharmacodynamic and dose-response relationships of antituberculosis drugs: recommendations and standards for industry and academia. J. Infect. Dis. 211 Suppl 3, S96–s106. doi: 10.1093/infdis/jiu610
Gumbo, T., Lenaerts, A. J., Hanna, D., Romero, K., Nuermberger, E. (2015b). Nonclinical models for antituberculosis drug development: a landscape analysis. J. Infect. Dis. 211 Suppl 3, S83–S95. doi: 10.1093/infdis/jiv183
Hamilton, C. D., Stout, J. E., Goodman, P. C., Mosher, A., Menzies, R., Schluger, N. W., et al. (2008). The value of end-of-treatment chest radiograph in predicting pulmonary tuberculosis relapse. Int. J. Tuberc. Lung Dis. 12 (9), 1059–1064.
Hanif, S. N., Garcia-Contreras, L. (2012). Pharmaceutical aerosols for the treatment and prevention of tuberculosis. Front. Cell Infect. Microbiol. 2, 118. doi: 10.3389/fcimb.2012.00118
Harper, J., Skerry, C., Davis, S. L., Tasneen, R., Weir, M., Kramnik, I., et al. (2012). Mouse model of necrotic tuberculosis granulomas develops hypoxic lesions. J. Infect. Dis. 205 (4), 595–602. doi: 10.1093/infdis/jir786
Hart, B. A., Vogels, J., Bauer, J., Brok, H. P., Blezer, E. (2004). Non-invasive measurement of brain damage in a primate model of multiple sclerosis. Trends Mol. Med. 10 (2), 85–91. doi: 10.1016/j.molmed.2003.12.008
Helke, K. L., Mankowski, J. L., Manabe, Y. C. (2006). Animal models of cavitation in pulmonary tuberculosis. Tuberculosis (Edinb) 86 (5), 337–348. doi: 10.1016/j.tube.2005.09.001
Henry, K. M., Loynes, C. A., Whyte, M. K., Renshaw, S. A. (2013). Zebrafish as a model for the study of neutrophil biology. J. Leukoc. Biol. 94 (4), 633–642. doi: 10.1189/jlb.1112594
Hirota, K., Kawamoto, T., Nakajima, T., Makino, K., Terada, H. (2013). Distribution and deposition of respirable PLGA microspheres in lung alveoli. Colloids Surf. B Biointerfaces 105, 92–97. doi: 10.1016/j.colsurfb.2012.12.027
Hoff, D. R., Ryan, G. J., Driver, E. R., Ssemakulu, C. C., De Groote, M. A., Basaraba, R. J., et al. (2011). Location of intra- and extracellular M. tuberculosis populations in lungs of mice and guinea pigs during disease progression and after drug treatment. PloS One 6 (3), e17550. doi: 10.1371/journal.pone.0017550
Horváti, K., Bacsa, B., Kiss, E., Gyulai, G., Fodor, K., Balka, G., et al. (2014). Nanoparticle encapsulated lipopeptide conjugate of antitubercular drug isoniazid: in vitro intracellular activity and in vivo efficacy in a Guinea pig model of tuberculosis. Bioconjug. Chem. 25 (12), 2260–2268. doi: 10.1021/bc500476x
Houben, R. M., Dodd, P. J. (2016). The Global Burden of Latent Tuberculosis Infection: A Re-estimation Using Mathematical Modelling. PloS Med. 13 (10), e1002152. doi: 10.1371/journal.pmed.1002152
Hsu, A. Y., Wang, D., Gurol, T., Zhou, W., Zhu, X., Lu, H. Y., et al. (2017). Overexpression of microRNA-722 fine-tunes neutrophilic inflammation by inhibiting Rac2 in zebrafish. Dis. Model Mech. 10 (11), 1323–1332. doi: 10.1242/dmm.030791
Hu, Y., Pertinez, H., Liu, Y., Davies, G., Coates, A. (2019). Bedaquiline kills persistent Mycobacterium tuberculosis with no disease relapse: an in vivo model of a potential cure. J. Antimicrob. Chemother. 74 (6), 1627–1633. doi: 10.1093/jac/dkz052
Huang, X., Wang, H., Meng, L., Wang, Q., Yu, J., Gao, Q., et al. (2016). Role of eosinophils and apoptosis in PDIMs/PGLs deficient mycobacterium elimination in adult zebrafish. Dev. Comp. Immunol. 59, 199–206. doi: 10.1016/j.dci.2016.02.007
Huang, L., Kushner, N. L., Theriault, M. E., Pisu, D., Tan, S., McNamara, C. W., et al. (2018). The Deconstructed Granuloma: A Complex High-Throughput Drug Screening Platform for the Discovery of Host-Directed Therapeutics Against Tuberculosis. Front. Cell Infect. Microbiol. 8, 275. doi: 10.3389/fcimb.2018.00275
Hudock, T. A., Lackner, A. A., Kaushal, D. (2014). Microdissection approaches in tuberculosis research. J. Med. Primatol. 43 (5), 294–297. doi: 10.1111/jmp.12141
Hunter, R. L., Jagannath, C., Actor, J. K. (2007). Pathology of postprimary tuberculosis in humans and mice: contradiction of long-held beliefs. Tuberculosis (Edinb) 87 (4), 267–278. doi: 10.1016/j.tube.2006.11.003
Hunter, R. L. (2016). Tuberculosis as a three-act play: A new paradigm for the pathogenesis of pulmonary tuberculosis. Tuberculosis (Edinb) 97, 8–17. doi: 10.1016/j.tube.2015.11.010
Hunter, R. L. (2018). The Pathogenesis of Tuberculosis: The Early Infiltrate of Post-primary (Adult Pulmonary) Tuberculosis: A Distinct Disease Entity. Front. Immunol. 9, 2108. doi: 10.3389/fimmu.2018.02108
Huszár, S., Chibale, K., Singh, V. (2020). The quest for the holy grail: new antitubercular chemical entities, targets and strategies. Drug Discov. Today 25 (4), 772–780. doi: 10.1016/j.drudis.2020.02.003
Ioerger, T. R., Feng, Y., Ganesula, K., Chen, X., Dobos, K. M., Fortune, S., et al. (2010). Variation among genome sequences of H37Rv strains of Mycobacterium tuberculosis from multiple laboratories. J. Bacteriol. 192 (14), 3645–3653. doi: 10.1128/jb.00166-10
Irwin, S. M., Gruppo, V., Brooks, E., Gilliland, J., Scherman, M., Reichlen, M. J., et al. (2014). Limited activity of clofazimine as a single drug in a mouse model of tuberculosis exhibiting caseous necrotic granulomas. Antimicrob. Agents Chemother. 58 (7), 4026–4034. doi: 10.1128/AAC.02565-14
Irwin, S. M., Driver, E., Lyon, E., Schrupp, C., Ryan, G., Gonzalez-Juarrero, M., et al. (2015). Presence of multiple lesion types with vastly different microenvironments in C3HeB/FeJ mice following aerosol infection with Mycobacterium tuberculosis. Dis. Model Mech. 8 (6), 591–602. doi: 10.1242/dmm.019570
Irwin, S. M., Prideaux, B., Lyon, E. R., Zimmerman, M. D., Brooks, E. J., Schrupp, C. A., et al. (2016). Bedaquiline and Pyrazinamide Treatment Responses Are Affected by Pulmonary Lesion Heterogeneity in Mycobacterium tuberculosis Infected C3HeB/FeJ Mice. ACS Infect. Dis. 2 (4), 251–267. doi: 10.1021/acsinfecdis.5b00127
Ito, R., Takahashi, T., Katano, I., Ito, M. (2012). Current advances in humanized mouse models. Cell Mol. Immunol. 9 (3), 208–214. doi: 10.1038/cmi.2012.2
Jain, S. K., Tobin, D. M., Tucker, E. W., Venketaraman, V., Ordonez, A. A., Jayashankar, L., et al. (2018). Tuberculous meningitis: a roadmap for advancing basic and translational research. Nat. Immunol. 19 (6), 521–525. doi: 10.1038/s41590-018-0119-x
Jia, Z. L., Cen, J., Wang, J. B., Zhang, F., Xia, Q., Wang, X., et al. (2019). Mechanism of isoniazid-induced hepatotoxicity in zebrafish larvae: Activation of ROS-mediated ERS, apoptosis and the Nrf2 pathway. Chemosphere 227, 541–550. doi: 10.1016/j.chemosphere.2019.04.026
Johansen, M. D., Kasparian, J. A., Hortle, E., Britton, W. J., Purdie, A. C., Oehlers, S. H. (2018). Mycobacterium marinum infection drives foam cell differentiation in zebrafish infection models. Dev. Comp. Immunol. 88, 169–172. doi: 10.1016/j.dci.2018.07.022
Kaplan, G., Post, F. A., Moreira, A. L., Wainwright, H., Kreiswirth, B. N., Tanverdi, M., et al. (2003). Mycobacterium tuberculosis growth at the cavity surface: a microenvironment with failed immunity. Infect. Immun. 71 (12), 7099–7108. doi: 10.1128/iai.71.12.7099-7108.2003
Kaplan, G. (2020). Tuberculosis control in crisis-causes and solutions. Prog. Biophys. Mol. Biol. 152, 6–9. doi: 10.1016/j.pbiomolbio.2019.10.001
Kato-Maeda, M., Shanley, C. A., Ackart, D., Jarlsberg, L. G., Shang, S., Obregon-Henao, A., et al. (2012). Beijing sublineages of Mycobacterium tuberculosis differ in pathogenicity in the guinea pig. Clin. Vaccine Immunol. 19 (8), 1227–1237. doi: 10.1128/CVI.00250-12
Kesavan, A. K., Brooks, M., Tufariello, J., Chan, J., Manabe, Y. C. (2009). Tuberculosis genes expressed during persistence and reactivation in the resistant rabbit model. Tuberculosis (Edinb) 89 (1), 17–21. doi: 10.1016/j.tube.2008.08.004
Kimmel, C. B., Ballard, W. W., Kimmel, S. R., Ullmann, B., Schilling, T. F. (1995). Stages of embryonic development of the zebrafish. Dev. Dyn. 203 (3), 253–310. doi: 10.1002/aja.1002030302
Kjellsson, M. C., Via, L. E., Goh, A., Weiner, D., Low, K. M., Kern, S., et al. (2012). Pharmacokinetic evaluation of the penetration of antituberculosis agents in rabbit pulmonary lesions. Antimicrob. Agents Chemother. 56 (1), 446–457. doi: 10.1128/AAC.05208-11
Kondreddi, R. R., Jiricek, J., Rao, S. P., Lakshminarayana, S. B., Camacho, L. R., Rao, R., et al. (2013). Design, synthesis, and biological evaluation of indole-2-carboxamides: a promising class of antituberculosis agents. J. Med. Chem. 56 (21), 8849–8859. doi: 10.1021/jm4012774
Kramnik, I., Beamer, G. (2016). Mouse models of human TB pathology: roles in the analysis of necrosis and the development of host-directed therapies. Semin. Immunopathol. 38 (2), 221–237. doi: 10.1007/s00281-015-0538-9
Kramnik, I., Dietrich, W. F., Demant, P., Bloom, B. R. (2000). Genetic control of resistance to experimental infection with virulent Mycobacterium tuberculosis. Proc. Natl. Acad. Sci. U.S.A. 97 (15), 8560–8565. doi: 10.1073/pnas.150227197
Kübler, A., Luna, B., Larsson, C., Ammerman, N. C., Andrade, B. B., Orandle, M., et al. (2015). Mycobacterium tuberculosis dysregulates MMP/TIMP balance to drive rapid cavitation and unrestrained bacterial proliferation. J. Pathol. 235 (3), 431–444. doi: 10.1002/path.4432
Kumar, N., Vishwas, K. G., Kumar, M., Reddy, J., Parab, M., Manikanth, C. L., et al. (2014). Pharmacokinetics and dose response of anti-TB drugs in rat infection model of tuberculosis. Tuberculosis (Edinb) 94 (3), 282–286. doi: 10.1016/j.tube.2014.02.004
Kumar, R., Kolloli, A., Singh, P., Vinnard, C., Kaplan, G., Subbian, S. (2019). Thalidomide and Phosphodiesterase 4 Inhibitors as Host Directed Therapeutics for Tuberculous Meningitis: Insights From the Rabbit Model. Front. Cell Infect. Microbiol. 9, 450. doi: 10.3389/fcimb.2019.00450
Kurtz, S. L., Rossi, A. P., Beamer, G. L., Gatti, D. M., Kramnik, I., Elkins, L. L. (2020). The Diversity Outbred Mouse Population Is an Improved Animal Model of Vaccination against Tuberculosis That Reflects Heterogeneity of Protection. mSphere 5 (2). doi: 10.1128/mSphere.00097-20
Lanoix, J. P., Betoudji, F., Nuermberger, E. (2014). Novel regimens identified in mice for treatment of latent tuberculosis infection in contacts of patients with multidrug-resistant tuberculosis. Antimicrob. Agents Chemother. 58 (4), 2316–2321. doi: 10.1128/AAC.02658-13
Lanoix, J. P., Lenaerts, A. J., Nuermberger, E. L. (2015). Heterogeneous disease progression and treatment response in a C3HeB/FeJ mouse model of tuberculosis. Dis. Model Mech. 8 (6), 603–610. doi: 10.1242/dmm.019513
Lanoix, J. P., Betoudji, F., Nuermberger, E. (2016a). Sterilizing Activity of Pyrazinamide in Combination with First-Line Drugs in a C3HeB/FeJ Mouse Model of Tuberculosis. Antimicrob. Agents Chemother. 60 (2), 1091–1096. doi: 10.1128/AAC.02637-15
Lanoix, J. P., Ioerger, T., Ormond, A., Kaya, F., Sacchettini, J., Dartois, V., et al. (2016b). Selective Inactivity of Pyrazinamide against Tuberculosis in C3HeB/FeJ Mice Is Best Explained by Neutral pH of Caseum. Antimicrob. Agents Chemother. 60 (2), 735–743. doi: 10.1128/AAC.01370-15
Lanoix, J. P., Tasneen, R., O’Brien, P., Sarathy, J., Safi, H., Pinn, M., et al. (2016c). High Systemic Exposure of Pyrazinoic Acid Has Limited Antituberculosis Activity in Murine and Rabbit Models of Tuberculosis. Antimicrob. Agents Chemother. 60 (7), 4197–4205. doi: 10.1128/AAC.03085-15
Lawal, I. O., Fourie, B. P., Mathebula, M., Moagi, I., Lengana, T., Moeketsi, N., et al. (2020). (18)F-FDG PET/CT as a Noninvasive Biomarker for Assessing Adequacy of Treatment and Predicting Relapse in Patients Treated for Pulmonary Tuberculosis. J. Nucl. Med. 61 (3), 412–417. doi: 10.2967/jnumed.119.233783
Lecoeur, H. F., Lagrange, P. H., Truffot-Pernot, C., Gheorghiu, M., Grosset, J. (1989). Relapses after stopping chemotherapy for experimental tuberculosis in genetically resistant and susceptible strains of mice. Clin. Exp. Immunol. 76 (3), 458–462.
Lenaerts, A. J., Hoff, D., Aly, S., Ehlers, S., Andries, K., Cantarero, L., et al. (2007). Location of persisting mycobacteria in a Guinea pig model of tuberculosis revealed by r207910. Antimicrob. Agents Chemother. 51 (9), 3338–3345. doi: 10.1128/AAC.00276-07
Lenaerts, A. J., Degroote, M. A., Orme, I. M. (2008). Preclinical testing of new drugs for tuberculosis: current challenges. Trends Microbiol. 16 (2), 48–54. doi: 10.1016/j.tim.2007.12.002
Lenaerts, A. J., Barry, C. E., 3rd3rd, Dartois, V. (2015). Heterogeneity in tuberculosis pathology, microenvironments and therapeutic responses. Immunol. Rev. 264 (1), 288–307. doi: 10.1111/imr.12252
Lewinsohn, D. M., Tydeman, I. S., Frieder, M., Grotzke, J. E., Lines, R. A., Ahmed, S., et al. (2006). High resolution radiographic and fine immunologic definition of TB disease progression in the rhesus macaque. Microbes Infect. 8 (11), 2587–2598. doi: 10.1016/j.micinf.2006.07.007
Li, D., Li, L., Ma, Y., Zhuang, Y., Li, D., Shen, H., et al. (2017). Dopamine-assisted fixation of drug-loaded polymeric multilayers to osteoarticular implants for tuberculosis therapy. Biomater. Sci. 5 (4), 730–740. doi: 10.1039/c7bm00042a
Li, S. Y., Irwin, S. M., Converse, P. J., Mdluli, K. E., Lenaerts, A. J., Nuermberger, E. L., et al. (2015). Evaluation of moxifloxacin-containing regimens in pathologically distinct murine tuberculosis models. Antimicrob. Agents Chemother. 59 (7), 4026–4030. doi: 10.1128/AAC.00105-15
Li, S. Y., Tasneen, R., Tyagi, S., Soni, H., Converse, P. J., Mdluli, K., et al. (2017). Bactericidal and Sterilizing Activity of a Novel Regimen with Bedaquiline, Pretomanid, Moxifloxacin, and Pyrazinamide in a Murine Model of Tuberculosis. Antimicrob. Agents Chemother. 61 (9). doi: 10.1128/aac.00913-17
Libardo, J. M. D., Boshoff, H. I., Barry, C. E., 3rd (2018). The present state of the tuberculosis drug development pipeline. Curr. Opin. Pharmacol. 42, 81–94. doi: 10.1016/j.coph.2018.08.001
Lin, P. L., Dartois, V., Johnston, P. J., Janssen, C., Via, L., Goodwin, M. B., et al. (2012). Metronidazole prevents reactivation of latent Mycobacterium tuberculosis infection in macaques. Proc. Natl. Acad. Sci. U.S.A. 109 (35), 14188–14193. doi: 10.1073/pnas.1121497109
Lin, P. L., Coleman, T., Carney, J. P., Lopresti, B. J., Tomko, J., Fillmore, D., et al. (2013). Radiologic Responses in Cynomolgus Macaques for Assessing Tuberculosis Chemotherapy Regimens. Antimicrob. Agents Chemother. 57 (9), 4237–4244. doi: 10.1128/aac.00277-13
Liu, Y., Pertinez, H., Davies, G. R., Gillespie, S. H., Coates, A. R., Hu, Y. (2018). Moxifloxacin Replacement in Contemporary Tuberculosis Drug Regimens Is Ineffective against Persistent Mycobacterium tuberculosis in the Cornell Mouse Model. Antimicrob. Agents Chemother. 62 (7). doi: 10.1128/AAC.00190-18
Luo, Q., Mehra, S., Golden, N. A., Kaushal, D., Lacey, M. R.. (2014). Identification of biomarkers for tuberculosis susceptibility via integrated analysis of gene expression and longitudinal clinical data. Front. Genet. 5, 240. doi: 10.3389/fgene.2014.00240
Lurie, M. B. (1953). The nature of the virulence of human and bovine types of tubercle bacilli for the rabbit. Am. Rev. Tuberc. 67 (2), 265–266. doi: 10.1164/art.1953.67.2.265
Luukinen, H., Hammarén, M. M., Vanha-Aho, L. M., Parikka, M. (2018). Modeling Tuberculosis in Mycobacterium marinum Infected Adult Zebrafish. J. Vis. Exp. (140), 58299. doi: 10.3791/58299
Maeda, R., Ito, T., Tagami, T., Takii, T., Ozeki, T. (2019). Development of Dried Emulsion/Mannitol Composite Microparticles through a Unique Spray Nozzle for Efficient Delivery of Hydrophilic Anti-tuberculosis Drug against Alveolar Macrophages. Biol. Pharm. Bull. 42 (11), 1846–1853. doi: 10.1248/bpb.b19-00368
Maiello, P., DiFazio, R. M., Cadena, A. M., Rodgers, M. A., Lin, P. L., Scanga, C. A., et al. (2018). Rhesus Macaques Are More Susceptible to Progressive Tuberculosis than Cynomolgus Macaques: a Quantitative Comparison. Infect. Immun. 86 (2). doi: 10.1128/iai.00505-17
Malherbe, S. T., Shenai, S., Ronacher, K., Loxton, A. G., Dolganov, G., Kriel, M., et al. (2016). Persisting positron emission tomography lesion activity and Mycobacterium tuberculosis mRNA after tuberculosis cure. Nat. Med. 22 (10), 1094–1100. doi: 10.1038/nm.4177
Manabe, Y. C., Kesavan, A. K., Lopez-Molina, J., Hatem, C. L., Brooks, M., Fujiwara, R., et al. (2008). The aerosol rabbit model of TB latency, reactivation and immune reconstitution inflammatory syndrome. Tuberculosis (Edinb) 88 (3), 187–196. doi: 10.1016/j.tube.2007.10.006
Marsden, M. D., Kovochich, M., Suree, N., Shimizu, S., Mehta, R., Cortado, R., et al. (2012). HIV latency in the humanized BLT mouse. J. Virol. 86 (1), 339–347. doi: 10.1128/JVI.06366-11
Martin, C. J., Cadena, A. M., Leung, V. W., Lin, P. L., Maiello, P., Hicks, N., et al. (2017). Digitally Barcoding Mycobacterium tuberculosis Reveals In Vivo Infection Dynamics in the Macaque Model of Tuberculosis. mBio 8 (3). doi: 10.1128/mBio.00312-17
Martinez, L., Verma, R., Croda, J., Horsburgh, C. R., Jr., Walter, K. S., Degner, N., et al. (2019). Detection, survival and infectious potential of Mycobacterium tuberculosis in the environment: a review of the evidence and epidemiological implications. Eur. Respir. J. 53 (6). doi: 10.1183/13993003.02302-2018
McCune, R. M., Jr., McDermott, W., Tompsett, R. (1956). The fate of Mycobacterium tuberculosis in mouse tissues as determined by the microbial enumeration technique. II. The conversion of tuberculous infection to the latent state by the administration of pyrazinamide and a companion drug. J. Exp. Med. 104 (5), 763–802. doi: 10.1084/jem.104.5.763
McCune, R. M., Feldmann, F. M., Lambert, H. P., McDermott, W. (1966a). Microbial persistence. I. The capacity of tubercle bacilli to survive sterilization in mouse tissues. J. Exp. Med. 123 (3), 445–468. doi: 10.1084/jem.123.3.445
McCune, R. M., Feldmann, F. M., McDermott, W. (1966b). Microbial persistence. II. Characteristics of the sterile state of tubercle bacilli. J. Exp. Med. 123 (3), 469–486. doi: 10.1084/jem.123.3.469
McCune, R. M., Jr., Tompsett, R. (1956). Fate of Mycobacterium tuberculosis in mouse tissues as determined by the microbial enumeration technique. I. The persistence of drug-susceptible tubercle bacilli in the tissues despite prolonged antimicrobial therapy. J. Exp. Med. 104 (5), 737–762. doi: 10.1084/jem.104.5.737
Medina, E., North, R. J. (1998). Resistance ranking of some common inbred mouse strains to Mycobacterium tuberculosis and relationship to major histocompatibility complex haplotype and Nramp1 genotype. Immunology 93 (2), 270–274. doi: 10.1046/j.1365-2567.1998.00419.x
Mehra, S., Golden, N. A., Dutta, N. K., Midkiff, C. C., Alvarez, X., Doyle, L. A., et al. (2011). Reactivation of latent tuberculosis in rhesus macaques by coinfection with simian immunodeficiency virus. J. Med. Primatol. 40 (4), 233–243. doi: 10.1111/j.1600-0684.2011.00485.x
Meijer, A. H., Spaink, H. P. (2011). Host-pathogen interactions made transparent with the zebrafish model. Curr. Drug Targets 12 (7), 1000–1017. doi: 10.2174/138945011795677809
Michel, A. L., Huchzermeyer, H. F. (1998). The zoonotic importance of Mycobacterium tuberculosis: transmission from human to monkey. J. S. Afr. Vet. Assoc. 69 (2), 64–65. doi: 10.4102/jsava.v69i2.819
Min, F., Zhang, Y., Pan, J., Wang, J., Yuan, W. (2013). Mycobacterium tuberculosis infection in rhesus monkeys (Macaca mulatta) and evaluation of ESAT-6 and CFP10 as immunodiagnostic antigens. Exp. Anim. 62 (4), 281–293. doi: 10.1538/expanim.62.281
Mitchison, D. A., Chang, K. C. (2009). Experimental models of tuberculosis: can we trust the mouse? Am. J. Respir. Crit. Care Med. 180 (3), 201–202. doi: 10.1164/rccm.200905-0708ED
Mitchison, D. A. (1980). Treatment of tuberculosis. The Mitchell lecture 1979. J. R. Coll. Physicians Lond. 14 (2), 91–5, 98-9.
Mitsos, L. M., Cardon, L. R., Fortin, A., Ryan, L., LaCourse, R., Ryan, R. J., et al. (2000). Genetic control of susceptibility to infection with Mycobacterium tuberculosis in mice. Genes Immun. 1 (8), 467–477. doi: 10.1038/sj.gene.6363712
Miyazaki, E., Chaisson, R. E., Bishai, W. R. (1999). Analysis of rifapentine for preventive therapy in the Cornell mouse model of latent tuberculosis. Antimicrob. Agents Chemother. 43 (9), 2126–2130. doi: 10.1128/AAC.43.9.2126
Montali, R. J., Mikota, S. K., Cheng, L. I. (2001). Mycobacterium tuberculosis in zoo and wildlife species. Rev. Sci. Tech. 20 (1), 291–303. doi: 10.20506/rst.20.1.1268
Montgomery, S. A., Young, E. F., Durham, P. G., Zulauf, K. E., Rank, L., Miller, B. K., et al. (2018). Efficacy of pyrazinoic acid dry powder aerosols in resolving necrotic and non-necrotic granulomas in a guinea pig model of tuberculosis. PloS One 13 (9), e0204495. doi: 10.1371/journal.pone.0204495
Mota, F., Jadhav, R., Ruiz-Bedoya, C. A., Ordonez, A. A., Klunk, M. H., Freundlich, J. S., et al. (2020). Radiosynthesis and Biodistribution of (18)F-Linezolid in Mycobacterium tuberculosis-Infected Mice Using Positron Emission Tomography. ACS Infect. Dis. 6 (5), 916–921. doi: 10.1021/acsinfecdis.9b00473
Mothé, B. R., Lindestam Arlehamn, C. S., Dow, C., Dillon, M. B. C., Wiseman, R. W., Bohn, P., et al. (2015). The TB-specific CD4(+) T cell immune repertoire in both cynomolgus and rhesus macaques largely overlap with humans. Tuberculosis (Edinb) 95 (6), 722–735. doi: 10.1016/j.tube.2015.07.005
Murawski, A. M., Gurbani, S., Harper, J. S., Klunk, M., Younes, L., Jain, S. K., et al. (2014). Imaging the evolution of reactivation pulmonary tuberculosis in mice using 18F-FDG PET. J. Nucl. Med. 55 (10), 1726–1729. doi: 10.2967/jnumed.114.144634
Mustafa, S., Devi, V. K., Pai, R. S. (2016). Comparative study of kanamycin sulphate microparticles and nanoparticles for intramuscular administration: preparation in vitro release and preliminary in vivo evaluation. J. Microencapsul. 33 (7), 679–688. doi: 10.1080/02652048.2016.1248511
Nelson, M., Loveday, M. (2014). Exploring the innate immunological response of an alternative nonhuman primate model of infectious disease; the common marmoset. J. Immunol. Res. 2014, 913632. doi: 10.1155/2014/913632
Niazi, M. K., Dhulekar, N., Schmidt, D., Major, S., Cooper, R., Abeijon, C., et al. (2015). Lung necrosis and neutrophils reflect common pathways of susceptibility to Mycobacterium tuberculosis in genetically diverse, immune-competent mice. Dis. Model Mech. 8 (9), 1141–1153. doi: 10.1242/dmm.020867
Nikonenko, B. V., Samala, R., Einck, L., Nacy, C. A. (2004). Rapid, simple in vivo screen for new drugs active against Mycobacterium tuberculosis. Antimicrob. Agents Chemother. 48 (12), 4550–4555. doi: 10.1128/AAC.48.12.4550-4555.2004
Nuermberger, E. L., Yoshimatsu, T., Tyagi, S., Bishai, W. R., Grosset, J. H. (2004). Paucibacillary tuberculosis in mice after prior aerosol immunization with Mycobacterium bovis BCG. Infect. Immun. 72 (2), 1065–1071. doi: 10.1128/iai.72.2.1065-1071.2004
Nuermberger, E., Tyagi, S., Williams, K. N., Rosenthal, I., Bishai, W. R., Grosset, J. H., et al. (2005). Rifapentine, moxifloxacin, or DNA vaccine improves treatment of latent tuberculosis in a mouse model. Am. J. Respir. Crit. Care Med. 172 (11), 1452–1456. doi: 10.1164/rccm.200507-1047OC
Nuermberger, E. L. (2011). “The role of the mouse model in the evaluation of new antituberculosis drugs,” in Antituberculosis Chemotherapy. Eds. Donald, P. R., van Helden, P. D. (Basel: Karger), 145–152. In Progress in Respiratory Research.
Nuermberger, E. L. (2017). Preclinical Efficacy Testing of New Drug Candidates. Microbiol. Spectr. 5 (3). doi: 10.1128/microbiolspec.TBTB2-0034-2017
Oehlers, S. H., Cronan, M. R., Scott, N. R., Thomas, M. I., Okuda, K. S., Walton, E. M., et al. (2015). Interception of host angiogenic signalling limits mycobacterial growth. Nature 517 (7536), 612–615. doi: 10.1038/nature13967
Olson, E., Graham, D. (2014). “Animal models of pharmacogenomics,” in Handbook of Pharmacogenomics and Stratified Medicine. Ed. Padmanabhan, S. (Academic Press).
Ordonez, A. A., Tasneen, R., Pokkali, S., Xu, Z., Converse, P. J, Klunk, M. H., et al. (2016). Mouse model of pulmonary cavitary tuberculosis and expression of matrix metalloproteinase-9. Dis. Model Mech. 9 (7), 779–788. doi: 10.1242/dmm.025643
Ordonez, A. A., Wang, H., Magombedze, G., Ruiz-Bedoya, C. A., Srivastava, S., Chen, A., et al. (2020). Dynamic imaging in patients with tuberculosis reveals heterogeneous drug exposures in pulmonary lesions. Nat. Med. 26 (4), 529–534. doi: 10.1038/s41591-020-0770-2
Orme, I. M., Ordway, D. J. (2016). Mouse and Guinea Pig Models of Tuberculosis. Microbiol. Spectr. 4 (4). doi: 10.1128/microbiolspec.TBTB2-0002-2015
Palanisamy, G. S., Kirk, N. M., Ackart, D. F., Shanley, C. A., Orme, I. M., Basaraba, R. J. (2011). Evidence for oxidative stress and defective antioxidant response in guinea pigs with tuberculosis. PloS One 6 (10), e26254. doi: 10.1371/journal.pone.0026254
Pan, H., Yan, B. S., Rojas, M., Shebzukhov, Y. V., Zhou, H., Kobzik, L., et al. (2005). Ipr1 gene mediates innate immunity to tuberculosis. Nature 434 (7034), 767–772. doi: 10.1038/nature03419
Pan, Q., Wang, Q., Sun, X., Xia, X., Wu, S., Luo, F., et al. (2014). Aptamer against mannose-capped lipoarabinomannan inhibits virulent Mycobacterium tuberculosis infection in mice and rhesus monkeys. Mol. Ther. 22 (5), 940–951. doi: 10.1038/mt.2014.31
Parikka, M., Hammarén, M. M., Harjula, S. K., Halfpenny, N. J., Oksanen, K. E., Lahtinen, M. J., et al. (2012). Mycobacterium marinum causes a latent infection that can be reactivated by gamma irradiation in adult zebrafish. PloS Pathog. 8 (9), e1002944. doi: 10.1371/journal.ppat.1002944
Peyron, P., Vaubourgeix, J., Poquet, Y., Levillain, F., Botanch, C., Bardou, F., et al. (2008). Foamy macrophages from tuberculous patients’ granulomas constitute a nutrient-rich reservoir for M. tuberculosis persistence. PloS Pathog. 4 (11), e1000204. doi: 10.1371/journal.ppat.1000204
Pichugin, A. V., Yan, B. S., Sloutsky, A., Kobzik, L., Kobzik, L., Kramnik, I. (2009). Dominant role of the sst1 locus in pathogenesis of necrotizing lung granulomas during chronic tuberculosis infection and reactivation in genetically resistant hosts. Am. J. Pathol. 174 (6), 2190–2201. doi: 10.2353/ajpath.2009.081075
Pienaar, E., Sarathy, J., Prideaux, B., Dietzold, J., Dartois, V., Kirschner, D. E., et al. (2017). Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach. PloS Comput. Biol. 13 (8), e1005650. doi: 10.1371/journal.pcbi.1005650
Podell, B. K., Ackart, D. F., Kirk, N. M., Eck, S. P., Bell, C., Basaraba, R. J. (2012). Non-diabetic hyperglycemia exacerbates disease severity in Mycobacterium tuberculosis infected guinea pigs. PloS One 7 (10), e46824. doi: 10.1371/journal.pone.0046824
Podell, B. K., Ackart, D. F., Obregon-Henao, A., Eck, S. P., Henao-Tamayo, M., Richardson, M., et al. (2014). Increased severity of tuberculosis in Guinea pigs with type 2 diabetes: a model of diabetes-tuberculosis comorbidity. Am. J. Pathol. 184 (4), 1104–1118. doi: 10.1016/j.ajpath.2013.12.015
Podell, B. K., Ackart, D. F., Richardson, M. A., DiLisio, J. E., Pulford, B., Basaraba, R. J., et al. (2017). A model of type 2 diabetes in the guinea pig using sequential diet-induced glucose intolerance and streptozotocin treatment. Dis. Model Mech. 10 (2), 151–162. doi: 10.1242/dmm.025593
Polena, H., Boudou, F., Tilleul, S., Dubois-Colas, N., Lecointe, C., Rakotosamimanana, N., et al. (2016). Mycobacterium tuberculosis exploits the formation of new blood vessels for its dissemination. Sci. Rep. 6, 33162. doi: 10.1038/srep33162
Prideaux, B., Via, L. E., Zimmerman, M. D., Eum, S., Sarathy, J., O’Brien, P., et al. (2015). The association between sterilizing activity and drug distribution into tuberculosis lesions. Nat. Med. 21 (10), 1223–1227. doi: 10.1038/nm.3937
Prier, J. E., Sauer, R. M., Fegley, H. C. (1964). Zoonoses Associated with Captive Monkeys. Lab. Anim. Care 14, 48–57.
Prouty, M. G., Correa, N. E., Barker, L. P., Jagadeeswaran, P., Klose, K. E. (2003). Zebrafish-Mycobacterium marinum model for mycobacterial pathogenesis. FEMS Microbiol. Lett. 225 (2), 177–182. doi: 10.1016/s0378-1097(03)00446-4
Ramani, A. V., Monika, A., Indira, V. L., Karyavardhi, G., Venkatesh, J., Jeankumar, V. U., et al. (2012). Synthesis of highly potent novel anti-tubercular isoniazid analogues with preliminary pharmacokinetic evaluation. Bioorg. Med. Chem. Lett. 22 (8), 2764–2767. doi: 10.1016/j.bmcl.2012.02.091
Ramos, L., Obregon-Henao, A., Henao-Tamayo, M., Bowen, R., Lunney, J. K., Gonzalez-Juarrero, M. (2017). The minipig as an animal model to study Mycobacterium tuberculosis infection and natural transmission. Tuberculosis (Edinb) 106, 91–98. doi: 10.1016/j.tube.2017.07.003
Rayner, E. L., Pearson, G. R., Hall, G. A., Basaraba, R. J., Gleeson, F., McIntyre, A., et al. (2013). Early lesions following aerosol infection of rhesus macaques (Macaca mulatta) with Mycobacterium tuberculosis strain H37RV. J. Comp. Pathol. 149 (4), 475–485. doi: 10.1016/j.jcpa.2013.05.005
Renshaw, S. A., Trede, N. S. (2012). A model 450 million years in the making: zebrafish and vertebrate immunity. Dis. Model Mech. 5 (1), 38–47. doi: 10.1242/dmm.007138
Rhoades, E. R., Frank, A. A., Orme, I. M. (1997). Progression of chronic pulmonary tuberculosis in mice aerogenically infected with virulent Mycobacterium tuberculosis. Tuber. Lung Dis. 78 (1), 57–66. doi: 10.1016/s0962-8479(97)90016-2
Rifat, D., Prideaux, B., Savic, R. M., Urbanowski, M. E., Parsons, T. L., Luna, B., et al. (2018). Pharmacokinetics of rifapentine and rifampin in a rabbit model of tuberculosis and correlation with clinical trial data. Sci. Transl. Med. 10 (435). doi: 10.1126/scitranslmed.aai7786
Rodrigues-Junior, V. S., Cintra, L., Machado, P., Dadda, A., Basso, L. A., Mafra, A., et al. (2017). Toxicological profile of IQG-607 after single and repeated oral administration in minipigs: An essential step towards phase I clinical trial. Regul. Toxicol. Pharmacol. 90, 78–86. doi: 10.1016/j.yrtph.2017.08.015
Rosenthal, I. M., Tasneen, R., Peloquin, C. A., Zhang, M., Almeida, D., Mdluli, K. E., et al. (2012). Dose-ranging comparison of rifampin and rifapentine in two pathologically distinct murine models of tuberculosis. Antimicrob. Agents Chemother. 56 (8), 4331–4340. doi: 10.1128/AAC.00912-12
Rullas, J., Garcia, J. I., Beltran, M., Cardona, P. J., Caceres, N., Garcia-Bustos, J. F., et al. (2010). Fast standardized therapeutic-efficacy assay for drug discovery against tuberculosis. Antimicrob. Agents Chemother. 54 (5), 2262–2264. doi: 10.1128/AAC.01423-09
Saini, V., Ammerman, N. C., Chang, Y. S., Tasneen, R., Chaisson, R. E., Jain, S., et al. (2019). Treatment-Shortening Effect of a Novel Regimen Combining Clofazimine and High-Dose Rifapentine in Pathologically Distinct Mouse Models of Tuberculosis. Antimicrob. Agents Chemother. 63 (6). doi: 10.1128/AAC.00388-19
Sánchez-Garibay, C., Hernández-Campos, M. E., Tena-Suck, M. L., Salinas-Lara, C. (2018). Experimental animal models of central nervous system tuberculosis: A historical review. Tuberculosis (Edinb) 110, 1–6. doi: 10.1016/j.tube.2018.02.007
Sapolsky, R. M., Else, J. G. (1987). Bovine tuberculosis in a wild baboon population: epidemiological aspects. J. Med. Primatol. 16 (4), 229–235. doi: 10.1111/j.1600-0684.1987.tb00331.x
Sarathy, J. P., Dartois, V. (2020). Caseum: a Niche for Mycobacterium tuberculosis Drug-Tolerant Persisters. Clin. Microbiol. Rev. 33 (3), e00159–00119. doi: 10.1128/cmr.00159-19
Sarathy, J. P., Via, L. E., Weiner, D., Blanc, L., Boshoff, H., Eugenin, E. A., et al. (2018). Extreme Drug Tolerance of Mycobacterium tuberculosis in Caseum. Antimicrob. Agents Chemother. 62 (2). doi: 10.1128/AAC.02266-17
Sarathy, J., Blanc, L., Alvarez-Cabrera, N., O’Brien, P., Dias-Freedman, I., Mina, M., et al. (2019). Fluoroquinolone Efficacy against Tuberculosis Is Driven by Penetration into Lesions and Activity against Resident Bacterial Populations. Antimicrob. Agents Chemother. 63 (5). doi: 10.1128/AAC.02516-18
Scanga, C. A., Flynn, J. L. (2014). Modeling tuberculosis in nonhuman primates. Cold Spring Harb. Perspect. Med. 4 (12), a018564. doi: 10.1101/cshperspect.a018564
Scanga, C. A., Mohan, V. P., Joseph, H., Yu, K., Chan, J., Flynn, J. L., et al. (1999). Reactivation of latent tuberculosis: variations on the Cornell murine model. Infect. Immun. 67 (9), 4531–4538. doi: 10.1128/IAI.67.9.4531-4538.1999
Schmidt, L. H., Hoffman, R., Hughes, H. B. (1953). The toxicity of isoniazid for the rhesus monkey. Am. Rev. Tuberc. 67 (6), 798–807. doi: 10.1164/art.1953.67.6.798
Schmidt, L. H. (1956). Some observations on the utility of simian pulmonary tuberculosis in defining the therapeutic potentialities of isoniazid. Am. Rev. Tuberc. 74 (2 Part 2), 138–53; discussion, 153-9. doi: 10.1164/artpd.1956.74.2-2.138
Schmidt, L. H. (1969). Using primates in medical research. 2. Recent comparative research. Control of tuberculosis. Primates Med. 3 (0), 105–112.
Schmidt, L. H. (1972). The John Barnwell lecture: Improving existing methods of control of tuberculosis: A prime challenge to the experimentalist. Am. Rev. Respir. Dis. 105 (2), 183–205. doi: 10.1164/arrd.1972.105.2.183
Seddon, J. A., Chiang, S. S., Esmail, H., Coussens, A. K. (2018). The Wonder Years: What Can Primary School Children Teach Us About Immunity to Mycobacterium tuberculosis? Front. Immunol. 9, 2946. doi: 10.3389/fimmu.2018.02946
Shang, S., Harton, M., Tamayo, M. H., Shanley, C., Palanisamy, G. S., Caraway, M., et al. (2011). Increased Foxp3 expression in guinea pigs infected with W-Beijing strains of M. tuberculosis. Tuberculosis (Edinb) 91 (5), 378–385. doi: 10.1016/j.tube.2011.06.001
Sharpe, S. A., Eschelbach, E., Basaraba, R. J., Gleeson, F., Hall, G. A., McIntyre, A., et al. (2009). Determination of lesion volume by MRI and stereology in a macaque model of tuberculosis. Tuberculosis (Edinb) 89 (6), 405–416. doi: 10.1016/j.tube.2009.09.002
Sharpe, S., White, A., Gleeson, F., McIntyre, A., Smyth, D., Clark, S., et al. (2016). Ultra low dose aerosol challenge with Mycobacterium tuberculosis leads to divergent outcomes in rhesus and cynomolgus macaques. Tuberculosis (Edinb) 96, 1–12. doi: 10.1016/j.tube.2015.10.004
Sharpe, S. A., White, A. D., Sibley, L., Gleeson, F., Hall, G. A., Basaraba, R. J., et al. (2017). An aerosol challenge model of tuberculosis in Mauritian cynomolgus macaques. PloS One 12 (3), e0171906. doi: 10.1371/journal.pone.0171906
Sharpe, S. A., Smyth, D., McIntyre, A., Gleeson, F., Dennis, M. J. (2018). Refinement and reduction through application of a quantitative score system for estimation of TB-induced disease burden using computed tomography. Lab. Anim. 52 (6), 599–610. doi: 10.1177/0023677218757815
Sibley, L., Dennis, M., Sarfas, C., White, A., Clark, S., Gleeson, F., et al. (2016). Route of delivery to the airway influences the distribution of pulmonary disease but not the outcome of Mycobacterium tuberculosis infection in rhesus macaques. Tuberculosis (Edinb) 96, 141–149. doi: 10.1016/j.tube.2015.11.004
Sibley, L., Gooch, K., Wareham, A., Gray, S., Chancellor, A., Dowall, S., et al. (2019). Differences in monocyte: lymphocyte ratio and Tuberculosis disease progression in genetically distinct populations of macaques. Sci. Rep. 9 (1), 3340. doi: 10.1038/s41598-019-39819-6
Singhal, A., Aliouat el, M., Hervé, M., Mathys, V., Kiass, M., Creusy, C., et al. (2011). Experimental tuberculosis in the Wistar rat: a model for protective immunity and control of infection. PloS One 6 (4), e18632. doi: 10.1371/journal.pone.0018632
Smith, C. M., Proulx, M. K., Olive, A. J., Laddy, D., Mishra, B. B., Moss, C., et al. (2016). Tuberculosis Susceptibility and Vaccine Protection Are Independently Controlled by Host Genotype. mBio 7 (5). doi: 10.1128/mBio.01516-16
Sridevi, J. P., Anantaraju, H. S., Kulkarni, P., Yogeeswari, P., Sriram, D. (2014). Optimization and validation of Mycobacterium marinum-induced adult zebrafish model for evaluation of oral anti-tuberculosis drugs. Int. J. Mycobacteriol. 3 (4), 259–267. doi: 10.1016/j.ijmyco.2014.10.001
Sterling, T. R., Scott, N. A., Miro, J. M., Calvet, G., La Rosa, A., Infante, R., et al. (2016). Three months of weekly rifapentine and isoniazid for treatment of Mycobacterium tuberculosis infection in HIV-coinfected persons. AIDS 30 (10), 1607–1615. doi: 10.1097/qad.0000000000001098
Strydom, N., Gupta, S. V., Fox, W. S., Via, L. E., Bang, H., Lee, M., et al. (2019). Tuberculosis drugs’ distribution and emergence of resistance in patient’s lung lesions: A mechanistic model and tool for regimen and dose optimization. PloS Med. 16 (4), e1002773. doi: 10.1371/journal.pmed.1002773
Sturgill-Koszycki, S., Schlesinger, P. H., Chakraborty, P., Haddix, P. L., Collins, H. L., Fok, A. K., et al. (1994). Lack of acidification in Mycobacterium phagosomes produced by exclusion of the vesicular proton-ATPase. Science 263 (5147), 678–681. doi: 10.1126/science.8303277
Subbian, S., Tsenova, L., O’Brien, P., Yang, G., Kushner, N. L., Parsons, S., et al. (2012). Spontaneous latency in a rabbit model of pulmonary tuberculosis. Am. J. Pathol. 181 (5), 1711–1724. doi: 10.1016/j.ajpath.2012.07.019
Subbian, S., Tsenova, L., Holloway, J., Peixoto, B., O’Brien, P., Dartois, V., et al. (2016). Adjunctive Phosphodiesterase-4 Inhibitor Therapy Improves Antibiotic Response to Pulmonary Tuberculosis in a Rabbit Model. EBioMedicine 4, 104–114. doi: 10.1016/j.ebiom.2016.01.015
Sugawara, I., Yamada, H., Mizuno, S. (2004). Pathological and immunological profiles of rat tuberculosis. Int. J. Exp. Pathol. 85 (3), 125–134. doi: 10.1111/j.0959-9673.2004.00379.x
Sun, Z., Denton, P. W., Estes, J. D., Othieno, F. A., Wei, B. L., Wege, A. K., et al. (2007). Intrarectal transmission, systemic infection, and CD4+ T cell depletion in humanized mice infected with HIV-1. J. Exp. Med. 204 (4), 705–714. doi: 10.1084/jem.20062411
Svenson, K. L., Gatti, D. M., Valdar, W., Welsh, C. E., Cheng, R., Chesler, E. J., et al. (2012). High-resolution genetic mapping using the Mouse Diversity outbred population. Genetics 190 (2), 437–447. doi: 10.1534/genetics.111.132597
Swaim, L. E., Connolly, L. E., Volkman, H. E., Humbert, O., Born, D. E., Ramakrishnan, L. (2006). Mycobacterium marinum infection of adult zebrafish causes caseating granulomatous tuberculosis and is moderated by adaptive immunity. Infect. Immun. 74 (11), 6108–6117. doi: 10.1128/iai.00887-06
Takaki, K., Davis, J. M., Winglee, K., Ramakrishnan, L. (2013). Evaluation of the pathogenesis and treatment of Mycobacterium marinum infection in zebrafish. Nat. Protoc. 8 (6), 1114–1124. doi: 10.1038/nprot.2013.068
Tornheim, J. A., Dooley, K. E. (2019). The Global Landscape of Tuberculosis Therapeutics. Annu. Rev. Med. 70, 105–120. doi: 10.1146/annurev-med-040717-051150
Tsai, M. C., Chakravarty, S., Zhu, G., Xu, J., Tanaka, K., Koch, C., et al. (2006). Characterization of the tuberculous granuloma in murine and human lungs: cellular composition and relative tissue oxygen tension. Cell Microbiol. 8 (2), 218–232. doi: 10.1111/j.1462-5822.2005.00612.x
Tsenova, L., Sokol, K., Freedman, V. H., Kaplan, G. (1998). A combination of thalidomide plus antibiotics protects rabbits from mycobacterial meningitis-associated death. J. Infect. Dis. 177 (6), 1563–1572. doi: 10.1086/515327
Tsenova, L., O’Brien, P., Holloway, J., Peixoto, B., Soteropoulos, P., Fallows, D., et al. (2014). Etanercept exacerbates inflammation and pathology in a rabbit model of active pulmonary tuberculosis. J. Interferon Cytokine Res. 34 (9), 716–726. doi: 10.1089/jir.2013.0123
Tsenova, L., Fallows, D., Kolloli, A., Singh, P., O’Brien, P., Kushner, N., et al. (2020). Inoculum size and traits of the infecting clinical strain define the protection level against Mycobacterium tuberculosis infection in a rabbit model. Eur. J. Immunol. 50 (6), 858–872. doi: 10.1002/eji.201948448
Tucker, E. W., Pokkali, S., Zhang, Z., DeMarco, V. P., Klunk, M., Smith, E. S., et al. (2016). Microglia activation in a pediatric rabbit model of tuberculous meningitis. Dis. Model Mech. 9 (12), 1497–1506. doi: 10.1242/dmm.027326
Tucker, E. W., Guglieri-Lopez, B., Ordonez, A. A., Ritchie, B., Klunk, M. H., Sharma, R., et al. (2018). Noninvasive (11)C-rifampin positron emission tomography reveals drug biodistribution in tuberculous meningitis. Sci. Transl. Med. 10 (470). doi: 10.1126/scitranslmed.aau0965
Tükenmez, H., Edström, I., Ummanni, R., Fick, S. B., Sundin, C., Elofsson, M., et al. (2019). Mycobacterium tuberculosis virulence inhibitors discovered by Mycobacterium marinum high-throughput screening. Sci. Rep. 9 (1), 26. doi: 10.1038/s41598-018-37176-4
Tuttle, A. H., Philip, V. M., Chesler, E. J., Mogil, J. S. (2018). Comparing phenotypic variation between inbred and outbred mice. Nat. Methods 15 (12), 994–996. doi: 10.1038/s41592-018-0224-7
Vandamme, T. F. (2014). Use of rodents as models of human diseases. J. Pharm. Bioallied Sci. 6 (1), 2–9. doi: 10.4103/0975-7406.124301
Via, L. E., Lin, P. L., Ray, S. M., Carrillo, J., Allen, S. S., Eum, S. Y., et al. (2008). Tuberculous granulomas are hypoxic in guinea pigs, rabbits, and nonhuman primates. Infect. Immun. 76 (6), 2333–2340. doi: 10.1128/IAI.01515-07
Via, L. E., Schimel, D., Weiner, D. M., Dartois, V., Dayao, E., Cai, Y., et al. (2012). Infection dynamics and response to chemotherapy in a rabbit model of tuberculosis using [18F]2-fluoro-deoxy-D-glucose positron emission tomography and computed tomography. Antimicrob. Agents Chemother. 56 (8), 4391–4402. doi: 10.1128/AAC.00531-12
Via, L. E., Weiner, D. M., Schimel, D., Lin, P. L., Dayao, E., Tankersley, S. L., et al. (2013). Differential virulence and disease progression following Mycobacterium tuberculosis complex infection of the common marmoset (Callithrix jacchus). Infect. Immun. 81 (8), 2909–2919. doi: 10.1128/IAI.00632-13
Via, L. E., England, K., Weiner, D. M., Schimel, D., Zimmerman, M. D., Dayao, E., et al. (2015). A sterilizing tuberculosis treatment regimen is associated with faster clearance of bacteria in cavitary lesions in marmosets. Antimicrob. Agents Chemother. 59 (7), 4181–4189. doi: 10.1128/AAC.00115-15
Vickers, C. F., Silva, A. P. G., Chakraborty, A., Fernandez, P., Kurepina, N., Saville, C., et al. (2018). Structure-Based Design of MptpB Inhibitors That Reduce Multidrug-Resistant Mycobacterium tuberculosis Survival and Infection Burden in Vivo. J. Med. Chem. 61 (18), 8337–8352. doi: 10.1021/acs.jmedchem.8b00832
Volkman, H. E., Clay, H., Beery, D., Chang, J. C., Sherman, D. R., Ramakrishnan, L. (2004). Tuberculous granuloma formation is enhanced by a mycobacterium virulence determinant. PloS Biol. 2 (11), e367. doi: 10.1371/journal.pbio.0020367
Volkman, H. E., Pozos, T. C., Zheng, J., Davis, J. M., Rawls, J. F., Ramakrishnan, L. (2010). Tuberculous granuloma induction via interaction of a bacterial secreted protein with host epithelium. Science 327 (5964), 466–469. doi: 10.1126/science.1179663
Walker, N. F., Clark, S. O., Oni, T., Andreu, N., Tezera, R., Singh, S., et al. (2012). Doxycycline and HIV infection suppress tuberculosis-induced matrix metalloproteinases. Am. J. Respir. Crit. Care Med. 185 (9), 989–997. doi: 10.1164/rccm.201110-1769OC
Walsh, G. P., Tan, E. V., dela Cruz, E. C., Abalos, R. M., Villahermosa, L. G., Young, L. J., et al. (1996). The Philippine cynomolgus monkey (Macaca fasicularis) provides a new nonhuman primate model of tuberculosis that resembles human disease. Nat. Med. 2 (4), 430–436. doi: 10.1038/nm0496-430
Wang, W., Yang, B., Cui, Y., Zhan, Y. (2018). Isoliquiritigenin attenuates spinal tuberculosis through inhibiting immune response in a New Zealand white rabbit model. Korean J. Physiol. Pharmacol. 22 (4), 369–377. doi: 10.4196/kjpp.2018.22.4.369
Weinstein, E. A., Liu, L., Ordonez, A. A., Wang, H., Hooker, J. M., Tonge, P. J., et al. (2012). Noninvasive determination of 2-[18F]-fluoroisonicotinic acid hydrazide pharmacokinetics by positron emission tomography in Mycobacterium tuberculosis-infected mice. Antimicrob. Agents Chemother. 56 (12), 6284–6290. doi: 10.1128/AAC.01644-12
White, A. G., Maiello, P., Coleman, M. T., Tomko, J. A., Frye, L. J., Scanga, C. A., et al. (2017). Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates. J. Vis. Exp. (127). doi: 10.3791/56375
Williams, K., Minkowski, A., Amoabeng, O., Peloquin, C. A., Taylor, D., Andries, K., et al. (2012). Sterilizing activities of novel combinations lacking first- and second-line drugs in a murine model of tuberculosis. Antimicrob. Agents Chemother. 56 (6), 3114–3120. doi: 10.1128/AAC.00384-12
Winchell, C. G., Mishra, B. B., Phuah, J. Y., Saqib, M., Nelson, S. J., Maiello, P., et al. (2020). Evaluation of IL-1 Blockade as an Adjunct to Linezolid Therapy for Tuberculosis in Mice and Macaques. Front. Immunol. 11, 891. doi: 10.3389/fimmu.2020.00891
Witt, K. L., Livanos, E., Kissling, G. E., Torous, D. K., Caspary, W., Tice, R. R., et al. (2008). Comparison of flow cytometry- and microscopy-based methods for measuring micronucleated reticulocyte frequencies in rodents treated with nongenotoxic and genotoxic chemicals. Mutat. Res. 649 (1-2), 101–113. doi: 10.1016/j.mrgentox.2007.08.004
Workneh, M. H., Bjune, G. A., Yimer, S. A. (2017). Prevalence and associated factors of tuberculosis and diabetes mellitus comorbidity: A systematic review. PloS One 12 (4), e0175925. doi: 10.1371/journal.pone.0175925
Zhan, L., Ding, H., Lin, S., Tang, J., Deng, W., Xu, Y., et al. (2014). Experimental Mycobacterium tuberculosis infection in the Chinese tree shrew. FEMS Microbiol. Lett. 360 (1), 23–32. doi: 10.1111/1574-6968.12524
Zhang, T., Zhang, M., Rosenthal, I. M., Grosset, J. H., Nuermberger, E. L. (2009). Short-course therapy with daily rifapentine in a murine model of latent tuberculosis infection. Am. J. Respir. Crit. Care Med. 180 (11), 1151–1157. doi: 10.1164/rccm.200905-0795OC
Zhang, J., Ye, Y. Q., Wang, Y., Mo, P. Z., Xian, Q. Y., Rao, Y., et al. (2011). M. tuberculosis H37Rv infection of Chinese rhesus macaques. J. Neuroimmune Pharmacol. 6 (3), 362–370. doi: 10.1007/s11481-010-9245-4
Keywords: Mycobacterium tuberculosis, rabbit, guinea pig, non-human primate, drug development, zebrafish, chemotherapy, animal model
Citation: Yang H-J, Wang D, Wen X, Weiner DM and Via LE (2021) One Size Fits All? Not in In Vivo Modeling of Tuberculosis Chemotherapeutics. Front. Cell. Infect. Microbiol. 11:613149. doi: 10.3389/fcimb.2021.613149
Received: 01 October 2020; Accepted: 08 February 2021;
Published: 16 March 2021.
Edited by:
Vinayak Singh, University of Cape Town, South AfricaReviewed by:
Brosch Roland, Université Louis-Pasteur, FranceGregory T. Robertson, Colorado State University, United States
Copyright © 2021 Yang, Wang, Wen, Weiner and Via. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Laura E. Via, bGF1cmEudmlhQG5paC5nb3Y=