ArticlePloS one2018
A systems pharmacology model for inflammatory bowel disease.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Mathematical modeling in autoimmune diseases: from theory to clinical application.Frontiers in immunology · 2024Pooled it
- Recent applications of quantitative systems pharmacology and machine learning models across diseases.Journal of pharmacokinetics and pharmacodynamics · 2022Pooled it
- Quantitative Systems Pharmacology (QSP): Bridging Biology and Mechanism with Clinical Drug Development Decisions.Journal of clinical pharmacology · 2026Review
- Mathematical Modeling of Neuroinflammation in Neurodegenerative Diseases.CPT: pharmacometrics & systems pharmacology · 2025Review
- From AI-AssistedPharmaceuticals (Basel, Switzerland) · 2025Review
- Granulomonocytapheresis for chronic inflammatory diseases and sepsis.Journal of intensive care · 2025Review
- Unlocking the Mysteries of Rare Disease Drug Development: A Beginner's Guide for Clinical Pharmacologists.Clinical and translational science · 2025Review
- Combining mechanistic modeling with machine learning as a strategy to predict inflammatory bowel disease clinical scores.Frontiers in pharmacology · 2025Article
- Aged garlic therapeutic intervention targeting inflammatory pathways in pathogenesis of bowel disorders.Heliyon · 2024Article
- Advancing precision medicine therapeutics for Parkinson's utilizing a shared quantitative systems pharmacology model and framework.Frontiers in systems biology · 2024Article
- Cell-level systems biology model to study inflammatory bowel diseases and their treatment options.CPT: pharmacometrics & systems pharmacology · 2023Article
- Impact of artificial intelligence on prognosis, shared decision-making, and precision medicine for patients with inflammatory bowel disease: a perspective and expert opinion.Annals of medicine · 2023Review
- Effect of Crohn's disease mesenteric mesenchymal stem cells and their extracellular vesicles on T-cell immunosuppressive capacity.Journal of cellular and molecular medicine · 2022Article
- A Computational Platform Integrating a Mechanistic Model of Crohn's Disease for Predicting Temporal Progression of Mucosal Damage and Healing.Advances in therapy · 2022Article
- A State-of-the-Art Roadmap for Biomarker-Driven Drug Development in the Era of Personalized Therapies.Journal of personalized medicine · 2022Review
- Computational models in inflammatory bowel disease.Clinical and translational science · 2022Review
- Article
- From data to QSP models: a pipeline for using Boolean networks for hypothesis inference and dynamic model building.Journal of pharmacokinetics and pharmacodynamics · 2022Article
- Dynamic Boolean modelling reveals the influence of energy supply on bacterial efflux pump expression.Journal of the Royal Society, Interface · 2022Article
- History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications.Frontiers in physiology · 2021Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationThe literature on complex diseases is abundant but not always quantitative. This is particularly so for Inflammatory Bowel Disease (IBD), where many molecular pathways are qualitatively well described but this information cannot be used in traditional quantitative mathematical models employed in drug development. We propose the elaboration and validation of a logic network for IBD able to capture the information available in the literature that will facilitate the identification/validation of therapeutic targets.
resultsIn this article, we propose a logic model for Inflammatory Bowel Disease (IBD) which consists of 43 nodes and 298 qualitative interactions. The model presented is able to describe the pathogenic mechanisms of the disorder and qualitatively describes the characteristic chronic inflammation. A perturbation analysis performed on the IBD network indicates that the model is robust. Also, as described in clinical trials, a simulation of anti-TNFα, anti-IL2 and Granulocyte and Monocyte Apheresis showed a decrease in the Metalloproteinases node (MMPs), which means a decrease in tissue damage. In contrast, as clinical trials have demonstrated, a simulation of anti-IL17 and anti-IFNγ or IL10 overexpression therapy did not show any major change in MMPs expression, as corresponds to a failed therapy. The model proved to be a promising in silico tool for the evaluation of potential therapeutic targets, the identification of new IBD biomarkers, the integration of IBD polymorphisms to anticipate responders and non-responders and can be reduced and transformed in quantitative model/s.
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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.