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Scanga, C. A.

Publications and source records attributed to Scanga, C. A..

6 recordsLinked to original sources

Distributable, Metabolic PET Reporting of Tuberculosis

Tuberculosis remains a large global disease burden for which treatment regimens are protracted and monitoring of disease activity difficult. Existing detection methods rely almost exclusively on bacterial culture from sputum which limits sampling to organisms on the pulmonary surface. Advances in monitoring tuberculous lesions have utilized the common glucoside [18F]FDG, yet lack specificity to the causative pathogen Mycobacterium tuberculosis (Mtb) and so do not directly correlate with pathogen viability. Here we show that a close mimic that is also positron-emitting of the non-mammalian Mtb disaccharide trehalose - 2-[18F]fluoro-2-deoxytrehalose ([18F]FDT) - can act as a mechanism-based enzyme reporter in vivo. Use of [18F]FDT in the imaging of Mtb in diverse models of disease, including non-human primates, successfully co-opts Mtb-specific processing of trehalose to allow the specific imaging of TB-associated lesions and to monitor the effects of treatment. A pyrogen-free, direct enzyme-catalyzed process for its radiochemical synthesis allows the ready production of [18F]FDT from the most globally-abundant organic 18F-containing molecule, [18F]FDG. The full, pre-clinical validation of both production method and [18F]FDT now creates a new, bacterium-specific, clinical diagnostic candidate. We anticipate that this distributable technology to generate clinical-grade [18F]FDT directly from the widely-available clinical reagent [18F]FDG, without need for either bespoke radioisotope generation or specialist chemical methods and/or facilities, could now usher in global, democratized access to a TB-specific PET tracer.

biochemistry↗

Optimizing tuberculosis treatment efficacy: comparing the standard regimen with Moxifloxacin-containing regimens

Tuberculosis (TB) continues to be one of the deadliest infectious diseases in the world, causing ~1.5 million deaths every year. The World Health Organization initiated an End TB Strategy that aims to reduce TB-related deaths in 2035 by 95%. Recent research goals have focused on discovering more effective and more patient-friendly antibiotic drug regimens to increase patient compliance and decrease emergence of resistant TB. Moxifloxacin is one promising antibiotic that may improve the current standard regimen by shortening treatment time. Clinical trials and in vivo mouse studies suggest that regimens containing moxifloxacin have better bactericidal activity. However, testing every possible combination regimen with moxifloxacin either in vivo or clinically is not feasible due to experimental and clinical limitations. To identify better regimens more systematically, we simulated pharmacokinetics/pharmacodynamics of various regimens (with and without moxifloxacin) to evaluate efficacies, and then compared our predictions to both clinical trials and nonhuman primate studies performed herein. We used GranSim, our well-established hybrid agent-based model that simulates granuloma formation and antibiotic treatment, for this task. In addition, we established a multiple-objective optimization pipeline using GranSim to discover optimized regimens based on treatment objectives of interest, i.e., minimizing total drug dosage and lowering time needed to sterilize granulomas. Our approach can efficiently test many regimens and successfully identify optimal regimens to inform pre-clinical studies or clinical trials and ultimately accelerate the TB regimen discovery process. Author summaryTuberculosis (TB) is a top global health concern and treatment for TB requires multiple antibiotics taken for long periods of time, which is challenging for TB patients. Therefore, identifying regimens that are more effective and more patient-friendly than the standard treatment is urgently needed. It is also known that non-compliance leads to the development of drug resistant TB. In this work, we pair computational and experimental models to predict new regimens for the treatment of TB that optimize how fast bacteria are cleared using minimal dosage. We apply novel approaches to this goal and validate our predictions using a non-human primate model. Our findings suggest that systems pharmacological modeling should be employed as a method to narrow the design space for drug regimens for tuberculosis and other diseases as well.

pharmacology and toxicology↗

Host Immunity to Mycobacterium tuberculosis Infection is Similar in Simian Immunodeficiency Virus (SIV)-infected, Antiretroviral Therapy-treated and SIV-naïve Juvenile Macaques

Pre-existing HIV infection increases tuberculosis (TB) risk in children. Antiretroviral therapy (ART) reduces, but does not abolish, this risk in children with HIV. The immunologic mechanisms involved in TB progression in both HIV-naive and HIV-infected children have not been explored. Much of our current understanding is based on human studies in adults and adult animal models. In this study, we sought to model childhood HIV/Mycobacterium tuberculosis (Mtb) coinfection in the setting of ART and characterize T cells during TB progression. Macaques equivalent to 4-8 year-old children were intravenously infected with SIVmac239M, treated with ART three months later, and coinfected with Mtb three months after initiating ART. SIV-naive macaques were similarly infected with Mtb alone. TB pathology and total Mtb burden did not differ between SIV-infected, ART-treated and SIV-naive macaques, although lung Mtb burden was lower in SIV-infected, ART-treated macaques. No major differences in frequencies of CD4+ and CD8+ T cells and unconventional T cell subsets (V{gamma}9+ {gamma}{delta} T cells, MAIT cells, and NKT cells) in airways were observed between SIV-infected, ART-treated and SIV-naive macaques over the course of Mtb infection, with the exception of CCR5+ CD4+ and CD8+ T cells which were slightly lower. CD4+ and CD8+ T cell frequencies did not differ in the lung granulomas obtained at necropsy, nor did they differ in the frequency of immune checkpoint and proliferative markers. Thus, ART treatment of juvenile macaques, three months after SIV infection, resulted in similar progression of Mtb and T cell responses compared to Mtb in SIV-naive macaques.

immunology↗

Mycobacterium tuberculosis-specific CD4 T cells expressing transcription factors associate with bacterial control in granulomas

Despite the extensive research on CD4 T cells within the context of Mycobacterium tuberculosis (Mtb) infection, few studies have focused on identifying and investigating the profile of Mtb-specific T cells within lung granulomas. To facilitate identification of Mtb-specific CD4 T cells, we identified immunodominant epitopes for two Mtb proteins, Rv1196 and Rv0125, using a Mauritian cynomolgus macaque model of Mtb infection, providing data for the synthesis of MHC Class II tetramers. Using tetramers, we identified Mtb-specific cells within different immune compartments post-infection. We found that granulomas were enriched sites for Mtb-specific cells and that tetramer+ cells had increased frequencies of the activation marker CD69, and transcription factors T-bet and ROR{gamma}T, compared to tetramer negative cells within the same sample. Our data revealed that while the frequency of Rv1196 tetramer+ cells was positively correlated with granuloma bacterial burden, the frequency of ROR{gamma}T or T-bet within tetramer+ cells was inversely correlated with granuloma bacterial burden highlighting the importance of having activated, functional Mtb-specific cells for control of Mtb in lung granulomas.

immunology↗

Spontaneous control of SIV replication does not prevent immune dysregulation and bacterial dissemination in animals co-infected with M. tuberculosis

Individuals infected with both HIV and Mycobacterium tuberculosis (Mtb) are more likely to develop severe Tuberculosis (TB) disease than HIV-naive individuals. To understand how a chronic pre-existing Simian immunodeficiency virus (SIV) infection impairs the early immune response to Mtb, we used the Mauritian cynomolgus macaque (MCM) model of SIV/Mtb co-infection. We examined the relationship between peripheral viral control and Mtb burden, Mtb dissemination, and immunological function between SIV+ spontaneous controllers, SIV+ non-controllers, and SIV-naive MCM who were challenged with a barcoded Mtb Erdman strain and necropsied six weeks post infection. Mycobacterial burden was highest in the SIV+ non-controllers in all assessed tissues. In lung granulomas, we found the frequency of CD4+ T cells producing TNF was reduced in all SIV+ MCM, but CD4+ T cells producing IFN{gamma} were only lower in the SIV+ non-controllers. Further, while all SIV+ MCM had more PD1+ and TIGIT+ T cells in the lung granulomas relative to SIV-naive MCM, SIV+ controllers exhibited the highest frequency of cells expressing these markers. To measure the effect of SIV infection on within-host bacterial dissemination, we sequenced the molecular barcodes of Mtb present in each tissue and characterized the complexity of the Mtb populations. While Mtb population complexity was not associated with infection group, lymph nodes had increased complexity when compared to lung granulomas across all groups. These results provide evidence SIV+ animals, independent of viral control, exhibit dysregulated immune responses and enhanced dissemination of Mtb, likely contributing to the poor TB disease course across all SIV/Mtb co-infected animals. ImportanceHIV and TB remain significant global health issues, despite the availability of treatments. Individuals with HIV, including those who are virally suppressed, are at an increased risk to develop and succumb to severe TB disease when compared to HIV-naive individuals. Our study aims to understand the relationship between SIV replication, mycobacterial growth, and immunological function in the tissues of co-infected Mauritian cynomolgus macaques during the early phase of Mtb infection. Here we demonstrate that increased viral replication is associated with increased bacterial burden in the tissues and impaired immunologic responses, and that the damage attributed to virus infection is not fully eliminated when animals spontaneously control virus replication.

microbiology↗

Pre-existing SIV infection increases expression of T cell markers associated with activation during early Mycobacterium tuberculosis co-infection and impairs TNF responses in granulomas

Tuberculosis (TB) is the leading infectious cause of death among people living with HIV (PLHIV). PLHIV are more susceptible to contracting Mycobacterium tuberculosis (Mtb) infection and often have worsened TB disease. Understanding the immunologic defects caused by HIV and the consequences it has on Mtb co-infection is critical in combating this global health epidemic. We previously established a model of simian immunodeficiency virus (SIV) and Mtb co-infection in Mauritian cynomolgus macaques (MCM), and showed that SIV/Mtb co-infected MCM had rapidly progressive TB. We hypothesized that pre-existing SIV infection impairs early T cell responses to Mtb infection. To test our hypothesis, we infected MCM with SIVmac239 intrarectally followed by co-infection with a low dose of Mtb Erdman 6 months later. SIV-naive MCM were infected with Mtb alone as controls. Six weeks after Mtb infection, animals were necropsied and immune responses were measured by multiparameter flow cytometry. While the two groups exhibited similar TB progression at time of necropsy (Nx), longitudinal sampling of the blood (PBMC) and airways (BAL) revealed a significant reduction in circulating CD4+ T cells and an influx of CD8+ T cells in airways following Mtb co-infection of SIV+ animals. Differences in the activation markers CD69, PD-1, and TIGIT were observed. At sites of Mtb infection (i.e. granulomas), SIV/Mtb co-infected animals had a higher proportion of CD4+ and CD8+ T cells expressing PD-1 and TIGIT. In addition, there were fewer TNF-producing CD4+ and CD8+ T cells in granulomas and airways of SIV/Mtb co-infected animals. Taken together, we show that concurrent SIV infection alters T cell phenotypes in granulomas during the early stages of TB disease. As it is critical to establish control of Mtb replication soon after infection, these phenotypic changes may distinguish the immune dysfunction that arises from pre-existing SIV infection which promotes TB progression. Author SummaryPeople living with HIV are incredibly susceptible to TB and, when co-infected with Mtb, often develop serious TB disease. We do not yet understand precisely how HIV infection impairs the early stages of the adaptive immune response against Mtb bacilli. We employed a non-human primate model of HIV, using SIV as a surrogate for HIV, followed by Mtb co-infection to investigate the immunologic defects associated with pre-existing SIV infection over the first six weeks of Mtb co-infection. Our study focused on CD4+ and CD8+ T cells as these cells are known to play an important role in Mtb control. We found more CD8+ T cells in granulomas, the sites of Mtb infection, from SIV/Mtb co-infected animals, with little difference in CD4+ T cells. SIV/Mtb co-infected animals and animals infected with SIV alone had a higher proportion of both CD4+ and CD8+ T cells expressing activation markers compared to SIV-naive animals, consistent with SIV-dependent immune activation. Notably, we observed a lower proportion of TNF-producing T cells, a cytokine critical for Mtb control, in granulomas and airways of SIV/Mtb co-infected animals. Taken together, these data show that pre-existing SIV alters T cell phenotypes and reduces TNF responses early in Mtb infection.

immunology↗