ArticleBulletin of mathematical biology2015
Identifying Mechanisms of Homeostatic Signaling in Fibroblast Differentiation.
Article in Bulletin of mathematical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- The Role of Fibroblast-Epithelial Cross-Talk on the Distribution of Distinct Fibroblast Phenotypes in the Intestinal Crypt.Bulletin of mathematical biology · 2026Article
- Exploring Skin Wound Healing Models and the Impact of Natural Lipids on the Healing Process.International journal of molecular sciences · 2024Review
- Systems biology predicts that fibrosis in tuberculous granulomas may arise through macrophage-to-myofibroblast transformation.PLoS computational biology · 2020Article
- Multi-scale models of lung fibrosis.Matrix biology : journal of the International Society for Matrix Biology · 2020Review
- Article
- Adipose extracellular matrix promotes skin wound healing by inducing the differentiation of adipose‑derived stem cells into fibroblasts.International journal of molecular medicine · 2019Article
- Dynamic balance of pro- and anti-inflammatory signals controls disease and limits pathology.Immunological reviews · 2018Review
- Effect of isoflurane + NExperimental and therapeutic medicine · 2017Article
- Identifying mechanisms driving formation of granuloma-associated fibrosis during Mycobacterium tuberculosis infection.Journal of theoretical biology · 2017Article
- Deletion of TGF-β1 Increases Bacterial Clearance by Cytotoxic T Cells in a Tuberculosis Granuloma Model.Frontiers in immunology · 2017Article
- Computational Modeling Predicts Simultaneous Targeting of Fibroblasts and Epithelial Cells Is Necessary for Treatment of Pulmonary Fibrosis.Frontiers in pharmacology · 2016Article
- Identifying chondrogenesis strategies for tissue engineering of articular cartilage.Journal of tissue engineeringArticle
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Fibroblasts play an important role in the wound-healing process by generating extracellular matrix (ECM) and undergoing differentiation into myofibroblasts, but these cells can also be involved in pathologic remodeling of tissue. Nascent ECM provides a substrate for re-epithelialization to occur, restoring damaged tissue to a functional state. Dysregulation of this process can result in fibrosis--stiffening and scarring of the tissue. Current treatments cannot halt or reverse this process. The molecular mechanisms underlying fibrotic dysregulation are poorly understood, providing an untapped pool of potential therapeutic targets. Transforming growth factor-β (TGF-β) and adhesion signaling are involved in inducing fibroblast differentiation into α-smooth muscle actin (αSMA) expressing myofibroblasts, while prostaglandin E₂ (PGE₂) has been shown to antagonize TGF-β signaling; however, the temporal and mechanistic details of this relationship have not yet been fully characterized. We measured αSMA, a marker of fibroblast to myofibroblast differentiation, as a function of: TGF-β1 receptor-ligand complex internalization, PGE₂ binding, and adhesion signaling and developed a mathematical model capturing the molecular mechanisms of fibroblast differentiation. Using our model, we predict the following: Periodic dosing with PGE₂ temporarily renders fibroblasts incapable of differentiation and refractory to additional TGF-β1 stimulation; conversely, periodic dosing with TGF-β1 in the presence of PGE₂ induces a reduced signal response that can be further inhibited by the addition of more PGE₂. Controlled fibroblast differentiation is necessary for effective wound healing; however, excessive accumulation of αSMA-expressing myofibroblasts can result in fibrosis. Homeostasis of αSMA in our model requires a balance of positive and negative regulatory signals. Sensitivity analysis predicts that PGE₂ availability, TGF-β1 availability, and the rate of TGF-β1 receptor recycling each highly influence the rates of αSMA production. With this model, we are able to demonstrate that regulation of both TGF-β1 and PGE₂ signaling levels is essential for preventing fibroblast dysregulation.
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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.