ArticleJournal of theoretical biology2008
The timing of TNF and IFN-gamma signaling affects macrophage activation strategies during Mycobacterium tuberculosis infection.
Article in Journal of theoretical biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 40 citations in OpenAlex.
- Macrophage Response to Avirulent and Virulent Mycobacterium tuberculosis and Anti-TB Effects of Exosome Treatment.Genomics, proteomics & bioinformatics · 2025Article
- Decreased IL-1 β Secretion as a Potential Predictor of Tuberculosis Recurrence in Individuals Diagnosed with HIV.Biomedicines · 2024Article
- Systemic and cerebrospinal fluid biomarkers for tuberculous meningitis identification and treatment monitoring.Microbiology spectrum · 2024Article
- Immune-endocrine network in diabetes-tuberculosis nexus: does latent tuberculosis infection confer protection against meta-inflammation and insulin resistance?Frontiers in endocrinology · 2024Review
- Modeling immune cell behavior across scales in cancer.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Vaccine-Specific Immune Responses against Mycobacterium ulcerans Infection in a Low-Dose Murine Challenge Model.Infection and immunity · 2020Article
- Spatial Organization and Recruitment of Non-Specific T Cells May Limit T Cell-Macrophage Interactions WithinFrontiers in immunology · 2020Article
- The Role of Dimensionality in Understanding Granuloma Formation.Computation (Basel, Switzerland) · 2018Article
- Low Levels of T Cell Exhaustion in Tuberculous Lung Granulomas.Infection and immunity · 2018Article
- Identifying mechanisms driving formation of granuloma-associated fibrosis during Mycobacterium tuberculosis infection.Journal of theoretical biology · 2017Article
- A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.Current opinion in systems biology · 2017Article
- Deletion of TGF-β1 Increases Bacterial Clearance by Cytotoxic T Cells in a Tuberculosis Granuloma Model.Frontiers in immunology · 2017Article
- Systems Medicine for Lung Diseases: Phenotypes and Precision Medicine in Cancer, Infection, and Allergy.Methods in molecular biology (Clifton, N.J.) · 2016Review
- Computational modeling of cytokine signaling in microglia.Molecular bioSystems · 2015Article
- Computational modeling of tuberculous meningitis reveals an important role for tumor necrosis factor-α.Journal of theoretical biology · 2013Article
- Latent Tuberculosis: Models, Computational Efforts and the Pathogen's Regulatory Mechanisms during Dormancy.Frontiers in bioengineering and biotechnology · 2013Review
- A Petri net model of granulomatous inflammation: implications for IL-10 mediated control of Leishmania donovani infection.PLoS computational biology · 2013Article
- Increased cytokines response in patients with tuberculosis complicated with chronic obstructive pulmonary disease.PloS one · 2013Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
During most infections, the population of immune cells known as macrophages are key to taking up and killing bacteria as an integral part of the immune response. However, during infection with Mycobacterium tuberculosis (Mtb), host macrophages serve as the preferred environment for mycobacterial growth. Further, killing of Mtb by macrophages is impaired unless they become activated. Activation is induced by stimulation from bacterial antigens and inflammatory cytokines derived from helper T cells. The key macrophage-activating cytokines in Mtb infection are tumor necrosis factor-alpha (TNF) and interferon (IFN)-gamma. Due to differences in cellular sources and secretion pathways for TNF and IFN-gamma, the possibility of heterogeneous cytokine distributions exists, suggesting that the timing of macrophage activation from these signals may affect activation kinetics and thus impact the outcome of Mtb infection. Here we use a mathematical model to show that negative feedback from production of nitric oxide (the key mediator of mycobacterial killing) that typically optimizes macrophage responses to activating stimuli may reduce effective killing of Mtb. Statistical sensitivity analysis predicts that if TNF and IFN-gamma signals precede infection, the level of negative feedback may have a strong effect on how effectively macrophages kill Mtb. However, this effect is relaxed when IFN-gamma or TNF+IFN-gamma signals are received coincident with infection. Under these conditions, the model suggests that negative feedback induces fast responses and an initial overshoot of nitric oxide production for given doses of TNF and IFN-gamma, favoring killing of Mtb. Together, our results suggest that direct entry of macrophages into a granuloma site (and not distal to it) from lung vascular sources represents a preferred host strategy for mycobacterial control. We examine implications of these results in establishment of latent Mtb infection.
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