ReviewCellular microbiology2009
Mathematical and computational approaches can complement experimental studies of host-pathogen interactions.
Review in Cellular microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Agent-based modeling of cellular dynamics in adoptive cell therapy.Communications biology · 2026Article
- A brief overview of mathematical modeling of the within-host dynamics of Mycobacterium tuberculosis.Frontiers in applied mathematics and statistics · 2024Article
- Transcriptional differentiation driving Cucumis sativus-Botrytis cinerea interactions based on the Skellam model and Bayesian networks.AMB Express · 2021Article
- Heterogeneity in tuberculosis.Nature reviews. Immunology · 2017Review
- Modeling Rabbit Responses to Single and Multiple Aerosol Exposures of Bacillus anthracis Spores.Risk analysis : an official publication of the Society for Risk Analysis · 2017Article
- Local Inflammation, Dissemination and Coalescence of Lesions Are Key for the Progression toward Active Tuberculosis: The Bubble Model.Frontiers in microbiology · 2016Article
- Modeling Lymph Flow and Fluid Exchange with Blood Vessels in Lymph Nodes.Lymphatic research and biology · 2015Article
- Computational Identification of Mechanistic Factors That Determine the Timing and Intensity of the Inflammatory Response.PLoS computational biology · 2015Article
- Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks.Integrative biology : quantitative biosciences from nano to macro · 2015Article
- The long subclinical phase of Mycobacterium avium ssp. paratuberculosis infections explained without adaptive immunity.Veterinary research · 2015Article
- Harnessing the heterogeneity of T cell differentiation fate to fine-tune generation of effector and memory T cells.Frontiers in immunology · 2014Article
- Intracellular bacillary burden reflects a burst size for Mycobacterium tuberculosis in vivo.PLoS pathogens · 2013Article
- Latent Tuberculosis: Models, Computational Efforts and the Pathogen's Regulatory Mechanisms during Dormancy.Frontiers in bioengineering and biotechnology · 2013Review
- Spartan: a comprehensive tool for understanding uncertainty in simulations of biological systems.PLoS computational biology · 2013Article
- Mining large-scale response networks reveals 'topmost activities' in Mycobacterium tuberculosis infection.Scientific reports · 2013Article
- Systems biology approaches for understanding cellular mechanisms of immunity in lymph nodes during infection.Journal of theoretical biology · 2011Review
- Tracing personalized health curves during infections.PLoS biology · 2011Article
- Dynamic models of immune responses: what is the ideal level of detail?Theoretical biology & medical modelling · 2010Article
- Tuberculosis: global approaches to a global disease.Current opinion in biotechnology · 2010Review
- A systems immunology approach to plasmacytoid dendritic cell function in cytopathic virus infections.PLoS pathogens · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In addition to traditional and novel experimental approaches to study host-pathogen interactions, mathematical and computer modelling have recently been applied to address open questions in this area. These modelling tools not only offer an additional avenue for exploring disease dynamics at multiple biological scales, but also complement and extend knowledge gained via experimental tools. In this review, we outline four examples where modelling has complemented current experimental techniques in a way that can or has already pushed our knowledge of host-pathogen dynamics forward. Two of the modelling approaches presented go hand in hand with articles in this issue exploring fluorescence resonance energy transfer and two-photon intravital microscopy. Two others explore virtual or 'in silico' deletion and depletion as well as a new method to understand and guide studies in genetic epidemiology. In each of these examples, the complementary nature of modelling and experiment is discussed. We further note that multi-scale modelling may allow us to integrate information across length (molecular, cellular, tissue, organism, population) and time (e.g. seconds to lifetimes). In sum, when combined, these compatible approaches offer new opportunities for understanding host-pathogen interactions.
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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.