ArticlePloS one2010
Mathematical modeling of tuberculosis bacillary counts and cellular populations in the organs of infected mice.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 43 citations in OpenAlex.
- A brief overview of mathematical modeling of the within-host dynamics of Mycobacterium tuberculosis.Frontiers in applied mathematics and statistics · 2024Article
- Animal models for COVID-19 and tuberculosis.Frontiers in immunology · 2023Review
- Neutrophil Dynamics AffectFrontiers in immunology · 2021Article
- A reaction-diffusion model to understand granulomas formation inside secondary lobule during tuberculosis infection.PloS one · 2020Article
- Mucosal boosting of H56:CAF01 immunization promotes lung-localized T cells and an accelerated pulmonary response to Mycobacterium tuberculosis infection without enhancing vaccine protection.Mucosal immunology · 2019Article
- Dynamic balance of pro- and anti-inflammatory signals controls disease and limits pathology.Immunological reviews · 2018Review
- A clinically parameterized mathematical model of Shigella immunity to inform vaccine design.PloS one · 2018Article
- 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
- What We Have Learned and What We Have Missed in Tuberculosis Pathophysiology for a New Vaccine Design: Searching for the "Pink Swan".Frontiers in immunology · 2017Review
- Pathology and immune reactivity: understanding multidimensionality in pulmonary tuberculosis.Seminars in immunopathology · 2016Review
- Local Inflammation, Dissemination and Coalescence of Lesions Are Key for the Progression toward Active Tuberculosis: The Bubble Model.Frontiers in microbiology · 2016Article
- Strong Inference in Mathematical Modeling: A Method for Robust Science in the Twenty-First Century.Frontiers in microbiology · 2016Article
- The long subclinical phase of Mycobacterium avium ssp. paratuberculosis infections explained without adaptive immunity.Veterinary research · 2015Article
- Computational modeling predicts IL-10 control of lesion sterilization by balancing early host immunity-mediated antimicrobial responses with caseation during mycobacterium tuberculosis infection.Journal of immunology (Baltimore, Md. : 1950) · 2015Article
- The key role of exudative lesions and their encapsulation: lessons learned from the pathology of human pulmonary tuberculosis.Frontiers in microbiology · 2015Review
- To achieve an earlier IFN-γ response is not sufficient to control Mycobacterium tuberculosis infection in mice.PloS one · 2014Article
- Article
- Targeting multidrug-resistant tuberculosis (MDR-TB) by therapeutic vaccines.Medical microbiology and immunology · 2013Review
- Applying mathematical tools to accelerate vaccine development: modeling Shigella immune dynamics.PloS one · 2013Article
- Recombinant adenovirus delivery of calreticulin-ESAT-6 produces an antigen-specific immune response but no protection against a Mycobacterium tuberculosis challenge.Scandinavian journal of immunology · 2012Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMycobacterium tuberculosis is a particularly aggressive microorganism and the host's defense is based on the induction of cellular immunity, in which the creation of a granulomatous structure has an important role. METHODOLOGY: We present here a new 2D cellular automata model based on the concept of a multifunctional process that includes key factors such as the chemokine attraction of the cells; the role of innate immunity triggered by natural killers; the presence of neutrophils; apoptosis and necrosis of infected macrophages; the removal of dead cells by macrophages, which induces the production of foamy macrophages (FMs); the life cycle of the bacilli as a determinant for the evolution of infected macrophages; and the immune response.
resultsThe results obtained after the inclusion of two degrees of tolerance to the inflammatory response triggered by the infection shows that the model can cover a wide spectrum, ranging from highly-tolerant (i.e. mice) to poorly-tolerant hosts (i.e. mini-pigs or humans).
conclusionsThis model suggest that stopping bacillary growth at the onset of the infection might be difficult and the important role played by FMs in bacillary drainage in poorly-tolerant hosts together with apoptosis and innate lymphocytes. It also shows the poor ability of the cellular immunity to control the infection, provides a clear protective character to the granuloma, due its ability to attract a sufficient number of cells, and explains why an already infected host can be constantly reinfected.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.