ArticleProceedings of the National Academy of Sciences of the United States of America2009
Modeling the immune rheostat of macrophages in the lung in response to infection.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
64 citing papers in PubMed, 136 citations in OpenAlex.
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- Evolution and host-specific adaptation ofScience (New York, N.Y.) · 2024Article
- A brief overview of mathematical modeling of the within-host dynamics of Mycobacterium tuberculosis.Frontiers in applied mathematics and statistics · 2024Article
- Computational Modeling of Macrophage Iron Sequestration during Host Defense against Aspergillus.mSphere · 2022Article
- Mathematical modeling of ventilator-induced lung inflammation.Journal of theoretical biology · 2021Article
- Butorphanol Promotes Macrophage Phenotypic Transition to Inhibit Inflammatory Lung InjuryFrontiers in immunology · 2021Article
- Data Driven Mathematical Model of Colon Cancer Progression.Journal of clinical medicine · 2020Article
- Acute hepatitis B virus infection model within the host incorporating immune cells and cytokine responses.Theory in biosciences = Theorie in den Biowissenschaften · 2020Article
- Stochastic dynamics of Francisella tularensis infection and replication.PLoS computational biology · 2020Article
- Host defense mechanisms against Mycobacterium tuberculosis.Cellular and molecular life sciences : CMLS · 2020Review
- Current Sarcoidosis Models and the Importance of Focusing on the Granuloma.Frontiers in immunology · 2020Review
- Alveolar macrophages generate a noncanonical NRF2-driven transcriptional responseScience immunology · 2019Article
- FOXO3 Transcription Factor Regulates IL-10 Expression in Mycobacteria-Infected Macrophages, Tuning Their Polarization and the Subsequent Adaptive Immune Response.Frontiers in immunology · 2019Article
- Polarization of Human Monocyte-Derived Cells With Vitamin D Promotes Control ofFrontiers in immunology · 2019Article
- Dynamic balance of pro- and anti-inflammatory signals controls disease and limits pathology.Immunological reviews · 2018Review
- Deletion of PPARγ in lung macrophages provides an immunoprotective response against M. tuberculosis infection in mice.Tuberculosis (Edinburgh, Scotland) · 2018Article
- Friends and foes of tuberculosis: modulation of protective immunity.Journal of internal medicine · 2018Article
- Cardiac macrophage biology in the steady-state heart, the aging heart, and following myocardial infarction.Translational research : the journal of laboratory and clinical medicine · 2018Review
- Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
Abstract
In the lung, alternatively activated macrophages (AAM) form the first line of defense against microbial infection. Due to the highly regulated nature of AAM, the lung can be considered as an immunosuppressive organ for respiratory pathogens. However, as infection progresses in the lung, another population of macrophages, known as classically activated macrophages (CAM) enters; these cells are typically activated by IFN-gamma. CAM are far more effective than AAM in clearing the microbial load, producing proinflammatory cytokines and antimicrobial defense mechanisms necessary to mount an adequate immune response. Here, we are concerned with determining the first time when the population of CAM becomes more dominant than the population of AAM. This proposed "switching time" is explored in the context of Mycobacterium tuberculosis (MTb) infection. We have developed a mathematical model that describes the interactions among cells, bacteria, and cytokines involved in the activation of both AAM and CAM. The model, based on a system of differential equations, represents a useful tool to analyze strategies for reducing the switching time, and to generate hypotheses for experimental testing.
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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.