ArticleIntegrative biology : quantitative biosciences from nano to macro2015
A multi-scale approach to designing therapeutics for tuberculosis.
Article in Integrative biology : quantitative biosciences from nano to macro, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 31 citations in OpenAlex.
- Characterizing the immune response toFrontiers in immunology · 2024Review
- In Silico Studies to Support Vaccine Development.Pharmaceutics · 2023Review
- Simulations of tumor growth and response to immunotherapy by coupling a spatial agent-based model with a whole-patient quantitative systems pharmacology model.PLoS computational biology · 2022Article
- A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination.PLoS computational biology · 2020Article
- Both Pharmacokinetic Variability and Granuloma Heterogeneity Impact the Ability of the First-Line Antibiotics to Sterilize Tuberculosis Granulomas.Frontiers in pharmacology · 2020Article
- In Vitro Granuloma Models of Tuberculosis: Potential and Challenges.The Journal of infectious diseases · 2019Review
- Review of the systems biology of the immune system using agent-based models.IET systems biology · 2018Review
- The Spectrum of Mechanism-Oriented Models and Methods for Explanations of Biological Phenomena.Processes (Basel, Switzerland) · 2018Article
- Applying optimization algorithms to tuberculosis antibiotic treatment regimens.Cellular and molecular bioengineering · 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
- Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions.Briefings in functional genomics · 2017Review
- Mathematical Models for Immunology: Current State of the Art and Future Research Directions.Bulletin of mathematical biology · 2016Review
- Genetic variants in Alzheimer disease - molecular and brain network approaches.Nature reviews. Neurology · 2016Review
- Modeling Granulomas in Response to Infection in the Lung.PloS one · 2016Article
- Local Inflammation, Dissemination and Coalescence of Lesions Are Key for the Progression toward Active Tuberculosis: The Bubble Model.Frontiers in microbiology · 2016Article
- Strategic Priming with Multiple Antigens can Yield Memory Cell Phenotypes Optimized for Infection with Mycobacterium tuberculosis: A Computational Study.Frontiers in microbiology · 2015Article
- Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation.Cellular and molecular bioengineeringArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Approximately one third of the world's population is infected with Mycobacterium tuberculosis. Limited information about how the immune system fights M. tuberculosis and what constitutes protection from the bacteria impact our ability to develop effective therapies for tuberculosis. We present an in vivo systems biology approach that integrates data from multiple model systems and over multiple length and time scales into a comprehensive multi-scale and multi-compartment view of the in vivo immune response to M. tuberculosis. We describe computational models that can be used to study (a) immunomodulation with the cytokines tumor necrosis factor and interleukin 10, (b) oral and inhaled antibiotics, and
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What OpenQuestion holds
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.