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Dynamic balance of pro‐ and anti‐inflammatory signals controls disease and limits pathology

Immunological reviews, 2018-09, Vol.285 (1), p.147-167

2018

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Variability in tuberculosis granuloma T cell responses exists, but a balance of pro- and anti-inflammatory cytokines is associated with sterilization

PLoS pathogens, 2015-01, Vol.11 (1), p.e1004603-e1004603

2015

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Macrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infection

Infection and immunity, 2015-01, Vol.83 (1), p.324-338

2015

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Microenvironments in tuberculous granulomas are delineated by distinct populations of macrophage subsets and expression of nitric oxide synthase and arginase isoforms

The Journal of immunology (1950), 2013-07, Vol.191 (2), p.773-784

2013

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Systems biology predicts that fibrosis in tuberculous granulomas may arise through macrophage-to-myofibroblast transformation

PLoS computational biology, 2020-12, Vol.16 (12), p.e1008520-e1008520

2020

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Optimizing tuberculosis treatment efficacy: Comparing the standard regimen with Moxifloxacin-containing regimens

PLoS computational biology, 2023-06, Vol.19 (6), p.e1010823-e1010823

2023

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Concomitant immunity to M. tuberculosis infection

Scientific reports, 2022-12, Vol.12 (1), p.20731-20731, Article 20731

2022

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Multi-scale modeling predicts a balance of tumor necrosis factor-α and interleukin-10 controls the granuloma environment during Mycobacterium tuberculosis infection

PloS one, 2013-07, Vol.8 (7), p.e68680-e68680

2013

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Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach

PLoS computational biology, 2017-08, Vol.13 (8), p.e1005650

2017

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Emergence and selection of isoniazid and rifampin resistance in tuberculosis granulomas

PloS one, 2018-05, Vol.13 (5), p.e0196322-e0196322

2018

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Neutrophil Dynamics Affect Mycobacterium tuberculosis Granuloma Outcomes and Dissemination

Frontiers in immunology, 2021-10, Vol.12, p.712457-712457

2021

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Intracellular bacillary burden reflects a burst size for Mycobacterium tuberculosis in vivo

PLoS pathogens, 2013-02, Vol.9 (2), p.e1003190-e1003190

2013

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A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination

PLoS computational biology, 2020-05, Vol.16 (5), p.e1007280-e1007280

2020

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Differential risk of tuberculosis reactivation among anti-TNF therapies is due to drug binding kinetics and permeability

The Journal of immunology (1950), 2012-04, Vol.188 (7), p.3169-3178

2012

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Deletion of TGF-β1 Increases Bacterial Clearance by Cytotoxic T Cells in a Tuberculosis Granuloma Model

Frontiers in immunology, 2017-12, Vol.8, p.1843-1843

2017

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Calibration methods to fit parameters within complex biological models

Frontiers in applied mathematics and statistics, 2023, Vol.9

2023

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Both Pharmacokinetic Variability and Granuloma Heterogeneity Impact the Ability of the First-Line Antibiotics to Sterilize Tuberculosis Granulomas

Frontiers in pharmacology, 2020-03, Vol.11, p.333

2020

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Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome

PLoS computational biology, 2016-04, Vol.12 (4), p.e1004804-e1004804

2016

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NF-κB Signaling Dynamics Play a Key Role in Infection Control in Tuberculosis

Frontiers in physiology, 2012-01, Vol.3, p.170-170

2012

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T cell transcription factor expression evolves over time in granulomas from Mycobacterium tuberculosis-infected cynomolgus macaques

Cell reports (Cambridge), 2022-05, Vol.39 (7), p.110826-110826, Article 110826

2022

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Spatial Organization and Recruitment of Non-Specific T Cells May Limit T Cell-Macrophage Interactions Within Mycobacterium tuberculosis Granulomas

Frontiers in immunology, 2021-01, Vol.11, p.613638-613638

2021

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Evaluating vaccination strategies for tuberculosis in endemic and non-endemic settings

Journal of theoretical biology, 2019-05, Vol.469 (C), p.1-11

2019

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A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection

Computation, 2016, Vol.4 (4), p.39-39

2016

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Corrigendum: Spatial Organization and Recruitment of Non-Specific T Cells May Limit T Cell-Macrophage Interactions Within Mycobacterium tuberculosis Granulomas

Frontiers in immunology, 2021-11, Vol.12, p.790557-790557

2021

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A methodology for performing global uncertainty and sensitivity analysis in systems biology

Journal of theoretical biology, 2008-09, Vol.254 (1), p.178-196

2008

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Dynamic balance of pro‐ and anti‐inflammatory signals controls disease and limits pathology

Variability in tuberculosis granuloma T cell responses exists, but a balance of pro- and anti-inflammatory cytokines is associated with sterilization

Macrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infection

Microenvironments in tuberculous granulomas are delineated by distinct populations of macrophage subsets and expression of nitric oxide synthase and arginase isoforms

Systems biology predicts that fibrosis in tuberculous granulomas may arise through macrophage-to-myofibroblast transformation

Optimizing tuberculosis treatment efficacy: Comparing the standard regimen with Moxifloxacin-containing regimens

Concomitant immunity to M. tuberculosis infection

Multi-scale modeling predicts a balance of tumor necrosis factor-α and interleukin-10 controls the granuloma environment during Mycobacterium tuberculosis infection

Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach

Emergence and selection of isoniazid and rifampin resistance in tuberculosis granulomas

Neutrophil Dynamics Affect Mycobacterium tuberculosis Granuloma Outcomes and Dissemination

Intracellular bacillary burden reflects a burst size for Mycobacterium tuberculosis in vivo

A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination

Differential risk of tuberculosis reactivation among anti-TNF therapies is due to drug binding kinetics and permeability

Deletion of TGF-β1 Increases Bacterial Clearance by Cytotoxic T Cells in a Tuberculosis Granuloma Model

Calibration methods to fit parameters within complex biological models

Both Pharmacokinetic Variability and Granuloma Heterogeneity Impact the Ability of the First-Line Antibiotics to Sterilize Tuberculosis Granulomas

Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome

NF-κB Signaling Dynamics Play a Key Role in Infection Control in Tuberculosis

T cell transcription factor expression evolves over time in granulomas from Mycobacterium tuberculosis-infected cynomolgus macaques

Spatial Organization and Recruitment of Non-Specific T Cells May Limit T Cell-Macrophage Interactions Within Mycobacterium tuberculosis Granulomas

Evaluating vaccination strategies for tuberculosis in endemic and non-endemic settings

A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection

Corrigendum: Spatial Organization and Recruitment of Non-Specific T Cells May Limit T Cell-Macrophage Interactions Within Mycobacterium tuberculosis Granulomas

A methodology for performing global uncertainty and sensitivity analysis in systems biology

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