ArticleCurrent opinion in systems biology2017
A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.
Article in Current opinion in systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mathematical models of drug-resistant tuberculosis lack bacterial heterogeneity: A systematic review.PLoS pathogens · 2024Pooled it
- The eight pillars of within-host tuberculosis modelling.Frontiers in immunology · 2026Review
- Rankings of tuberculosis antibiotic treatment regimens are sensitive to spatial scale, detection limit, and initial host bacterial burden.Journal of theoretical biology · 2025Article
- Immune targeting and host-protective effects of the latent stage of Toxoplasma gondii.Nature microbiology · 2025Article
- Timing matters in macrophage/CD4+ T cell interactions: an agent-based model comparingmSystems · 2025Article
- GEODE: anFrontiers in pharmacology · 2025Article
- ABCD of IA: A multi-scale agent-based model of T cell activation in inflammatory arthritis.Biomaterials science · 2024Article
- Evaluation of fendiline treatment in VP40 system with nucleation-elongation process: a computational model of Ebola virus matrix protein assembly.Microbiology spectrum · 2024Article
- Article
- In silico agent-based modeling approach to characterize multiple in vitro tuberculosis infection models.PloS one · 2024Article
- A brief overview of mathematical modeling of the within-host dynamics of Mycobacterium tuberculosis.Frontiers in applied mathematics and statistics · 2024Article
- Within-Host Mathematical Models of Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Bifurcation analysis of a tuberculosis progression model for drug target identification.Scientific reports · 2023Article
- Investigating the comorbidity of COPD and tuberculosis, a computational study.Frontiers in systems biology · 2023Article
- Concomitant immunity to M. tuberculosis infection.Scientific reports · 2022Article
- Quantitative Systems Pharmacology Modeling Framework of Autophagy in Tuberculosis: Application to Adjunctive Metformin Host-Directed Therapy.Antimicrobial agents and chemotherapy · 2022Article
- Computational models in systems biology: standards, dissemination, and best practices.Current opinion in biotechnology · 2022Review
- A virtual host model of Mycobacterium tuberculosis infection identifies early immune events as predictive of infection outcomes.Journal of theoretical biology · 2022Article
- Systems biology approaches to investigate the role of granulomas in TB-HIV coinfection.Frontiers in immunology · 2022Review
- Modeling the Potential of Treg-Based Therapies for Transplant Rejection: Effect of Dose, Timing, and Accumulation Site.Transplant international : official journal of the European Society for Organ Transplantation · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Tuberculosis (TB) is an ancient and deadly disease characterized by complex host-pathogen dynamics playing out over multiple time and length scales and physiological compartments. Computational modeling can be used to integrate various types of experimental data and suggest new hypotheses, mechanisms, and therapeutic approaches to TB. Here, we offer a first-time comprehensive review of work on within-host TB models that describe the immune response of the host to infection, including the formation of lung granulomas. The models include systems of ordinary and partial differential equations and agent-based models as well as hybrid and multi-scale models that are combinations of these. Many aspects of
Indexed as
Identifiers
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.