ArticleBioMed research international2015
Mathematical Model of Innate and Adaptive Immunity of Sepsis: A Modeling and Simulation Study of Infectious Disease.
Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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Who cites it
18 citing papers in PubMed, 28 citations in OpenAlex.
- A mechanism-based model of immune status effects on antibiotic PK/PD targets in bacteremia.Journal of pharmacokinetics and pharmacodynamics · 2026Article
- The critical role of neutrophil-endothelial cell interactions in sepsis: new synergistic approaches employing organ-on-chip, omics, immune cell phenotyping andFrontiers in cellular and infection microbiology · 2023Review
- Multiscale modeling in the framework of biological systems and its potential for spaceflight biology studies.iScience · 2022Review
- Hybrid computational modeling demonstrates the utility of simulating complex cellular networks in type 1 diabetes.PLoS computational biology · 2021Article
- A New Method for Optimizing Sepsis Therapy by Nivolumab and Meropenem Combination: Importance of Early Intervention and CTL Reinvigoration Rate as a Response Marker.Frontiers in immunology · 2021Article
- Dynamical analysis of SEIS model with nonlinear innate immunity and saturated treatment.European physical journal plus · 2021Article
- Dynamic analysis of the role of innate immunity in SEIS epidemic model.European physical journal plus · 2021Article
- Temperature Trajectory Subphenotypes Correlate With Immune Responses in Patients With Sepsis.Critical care medicine · 2020Observational
- Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock.In silico biology · 2020Article
- Quantitative Systems Pharmacology Model of Chimeric Antigen Receptor T-Cell Therapy.Clinical and translational science · 2019Article
- Alleviation of exhaustion-induced immunosuppression and sepsis by immune checkpoint blockers sequentially administered with antibiotics-analysis of a new mathematical model.Intensive care medicine experimental · 2019Article
- Mathematical modeling of septic shock based on clinical data.Theoretical biology & medical modelling · 2019Article
- A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine.Frontiers in physiology · 2019Article
- A zebrafish model of infection-associated acute kidney injury.American journal of physiology. Renal physiology · 2018Article
- A System Dynamics Model to Predict the Human Monocyte Response to Endotoxins.Frontiers in immunology · 2017Article
- Mathematical Models for Immunology: Current State of the Art and Future Research Directions.Bulletin of mathematical biology · 2016Review
- An Agent-Based Model of a Hepatic Inflammatory Response to Salmonella: A Computational Study under a Large Set of Experimental Data.PloS one · 2016Article
- Mathematical models of cystic fibrosis as a systemic disease.WIREs mechanisms of diseaseReview
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is a systemic inflammatory response (SIR) to infection. In this work, a system dynamics mathematical model (SDMM) is examined to describe the basic components of SIR and sepsis progression. Both innate and adaptive immunities are included, and simulated results in silico have shown that adaptive immunity has significant impacts on the outcomes of sepsis progression. Further investigation has found that the intervention timing, intensity of anti-inflammatory cytokines, and initial pathogen load are highly predictive of outcomes of a sepsis episode. Sensitivity and stability analysis were carried out using bifurcation analysis to explore system stability with various initial and boundary conditions. The stability analysis suggested that the system could diverge at an unstable equilibrium after perturbations if r t2max (maximum release rate of Tumor Necrosis Factor- (TNF-) α by neutrophil) falls below a certain level. This finding conforms to clinical findings and existing literature regarding the lack of efficacy of anti-TNF antibody therapy.
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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.