Computational model predicts paracrine and intracellular drivers of fibroblast phenotype after myocardial infarction

Autor: Jeffrey J. Saucerman, Jeffrey W. Holmes, Anders R. Nelson, Angela C. Zeigler, Olga Brazhkina, Anirudha S. Chandrabhatla
Rok vydání: 2020
Předmět:
0301 basic medicine
medicine.medical_treatment
Myocardial Infarction
Smad Proteins
030204 cardiovascular system & hematology
Models
Biological
Article
Extracellular matrix
03 medical and health sciences
Paracrine signalling
0302 clinical medicine
Transforming Growth Factor beta
Fibrosis
Paracrine Communication
medicine
Animals
Humans
Computer Simulation
Fibroblast
Molecular Biology
030304 developmental biology
0303 health sciences
Wound Healing
Endothelin-1
Chemistry
Angiotensin II
NF-kappa B
Cell Differentiation
Fibroblasts
medicine.disease
Extracellular Matrix
Rats
Cell biology
Phenotype
030104 developmental biology
Cytokine
medicine.anatomical_structure
Gene Expression Regulation
030220 oncology & carcinogenesis
Collagen
BAMBI
Signal transduction
Wound healing
Interleukin-1
Signal Transduction
Zdroj: Matrix Biol
ISSN: 0945-053X
DOI: 10.1016/j.matbio.2020.03.007
Popis: The fibroblast is a key mediator of wound healing in the heart and other organs, yet how it integrates multiple time-dependent paracrine signals to control extracellular matrix synthesis has been difficult to study in vivo. Here, we extended a computational model to simulate the dynamics of fibroblast signaling and fibrosis after myocardial infarction in response to time-dependent data for nine paracrine stimuli. This computational model was validated against dynamic collagen expression and collagen area fraction data from post-infarction rat hearts. The model predicted that while many features of the fibroblast phenotype at inflammatory or maturation phases of healing could be recapitulated by single static paracrine stimuli (interleukin-1 and angiotensin-II, respectively), mimicking of the proliferative phase required paired stimuli (e.g. TGFβ and angiotensin-II). Virtual overexpression screens with static cytokine pairs and after myocardial infarction predicted phase-specific regulators of collagen expression. Several regulators increased (Smad3) or decreased (Smad7, protein kinase G) collagen expression specifically in the proliferative phase. NADPH oxidase overexpression sustained collagen expression from proliferative to maturation phases, driven by TGFβ and endothelin positive feedback loops. Interleukin-1 overexpression suppressed collagen via NFκB and BAMBI (BMP and activin membrane-bound inhibitor) incoherent feedforward loops, but it then later sustained collagen expression due to the TGFβ positive feedback loop. These model-based predictions reveal network mechanisms by which the dynamics of paracrine stimuli and interacting signaling pathways drive the progression of fibroblast phenotypes and fibrosis after myocardial infarction.
Databáze: OpenAIRE
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