Multi-scale modeling predicts a balance of tumor necrosis factor-α and interleukin-10 controls the granuloma environment during Mycobacterium tuberculosis infection.
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Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational modelsComputational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome.Variability in tuberculosis granuloma T cell responses exists, but a balance of pro- and anti-inflammatory cytokines is associated with sterilizationLessons from other diseases: granulomatous inflammation in leishmaniasisStrategic Priming with Multiple Antigens can Yield Memory Cell Phenotypes Optimized for Infection with Mycobacterium tuberculosis: A Computational StudyIn silico evaluation and exploration of antibiotic tuberculosis treatment regimensA multi-scale approach to designing therapeutics for tuberculosisA computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatmentSystems Pharmacology Approach Toward the Design of Inhaled Formulations of Rifampicin and Isoniazid for Treatment of TuberculosisMacrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infectionWhat We Have Learned and What We Have Missed in Tuberculosis Pathophysiology for a New Vaccine Design: Searching for the "Pink Swan".Computational modeling of cytokine signaling in microglia.Noise propagation through extracellular signaling leads to fluctuations in gene expression.The Mycobacterium tuberculosis Clp gene regulator is required for in vitro reactivation from hypoxia-induced dormancy.A Petri net model of granulomatous inflammation: implications for IL-10 mediated control of Leishmania donovani infection.Cell, isoform, and environment factors shape gradients and modulate chemotaxisIn Vivo Molecular Dissection of the Effects of HIV-1 in Active Tuberculosis.Modeling Granulomas in Response to Infection in the LungInflammatory signaling in human tuberculosis granulomas is spatially organized.Efficacy of Adjunctive Tofacitinib Therapy in Mouse Models of TuberculosisOxygen Modulates the Effectiveness of Granuloma Mediated Host Response to Mycobacterium tuberculosis: A Multiscale Computational Biology ApproachMultiscale Model of Mycobacterium tuberculosis Infection Maps Metabolite and Gene Perturbations to Granuloma Sterilization PredictionsComputational Modeling Predicts Simultaneous Targeting of Fibroblasts and Epithelial Cells Is Necessary for Treatment of Pulmonary Fibrosis.In silico models of M. tuberculosis infection provide a route to new therapiesStrategies for efficient numerical implementation of hybrid multi-scale agent-based models to describe biological systems.Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach.Identifying mechanisms driving formation of granuloma-associated fibrosis during Mycobacterium tuberculosis infection.Interaction of the CD43 Sialomucin with the Mycobacterium tuberculosis Cpn60.2 Chaperonin Leads to Tumor Necrosis Factor Alpha Production.Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions.Mathematical Models for Immunology: Current State of the Art and Future Research Directions.Macrophage form, function, and phenotype in mycobacterial infection: lessons from tuberculosis and other diseases.Striking the right immunological balance prevents progression of tuberculosis.A complete categorization of multiscale models of infectious disease systems.Computational identification and analysis of signaling subnetworks with distinct functional roles in the regulation of TNF production.Restoring Cytokine Balance in HIV-Positive Individuals with Low CD4 T Cell Counts.A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes.Investigating the causes for decreased levels of glutathione in individuals with type II diabetes.Computational modeling predicts IL-10 control of lesion sterilization by balancing early host immunity-mediated antimicrobial responses with caseation during mycobacterium tuberculosis infectionModeling cytokine regulatory network dynamics driving neuroinflammation in central nervous system disorders.Applying optimization algorithms to tuberculosis antibiotic treatment regimens.
P2860
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P2860
Multi-scale modeling predicts a balance of tumor necrosis factor-α and interleukin-10 controls the granuloma environment during Mycobacterium tuberculosis infection.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Multi-scale modeling predicts ...... terium tuberculosis infection.
@ast
Multi-scale modeling predicts ...... terium tuberculosis infection.
@en
Multi-scale modeling predicts ...... terium tuberculosis infection.
@nl
type
label
Multi-scale modeling predicts ...... terium tuberculosis infection.
@ast
Multi-scale modeling predicts ...... terium tuberculosis infection.
@en
Multi-scale modeling predicts ...... terium tuberculosis infection.
@nl
prefLabel
Multi-scale modeling predicts ...... terium tuberculosis infection.
@ast
Multi-scale modeling predicts ...... terium tuberculosis infection.
@en
Multi-scale modeling predicts ...... terium tuberculosis infection.
@nl
P2093
P2860
P1433
P1476
Multi-scale modeling predicts ...... terium tuberculosis infection.
@en
P2093
Cory R Perry
Denise E Kirschner
Jennifer J Linderman
Nicholas A Cilfone
P2860
P304
P356
10.1371/JOURNAL.PONE.0068680
P407
P577
2013-07-15T00:00:00Z