The ability to control vascular endothelial growth factor (VEGF) signaling offers promising therapeutic potential for vascular diseases and cancer. Despite this promise, VEGF-targeted therapies are not clinically effective for many pathologies, such as breast cancer. VEGFR1 has recently emerged as a predictive biomarker for anti-VEGF efficacy, implying a functional VEGFR1 role beyond its classically defined decoy receptor status. Here we introduce a computational approach that accurately predicts cellular responses elicited via VEGFR1 signaling. Aligned with our model prediction, we show empirically that VEGFR1 promotes macrophage migration through PLC and PI3K pathways and promotes macrophage proliferation through a PLC pathway. These results provide new insight into the basic function of VEGFR1 signaling while offering a computational platform to quantify signaling of any receptor.
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http://dx.doi.org/10.1038/s41540-017-0037-9 | DOI Listing |
J Clin Exp Dent
December 2024
DDS. Titular Professor. Universidad de Antioquia U de A, Medellín, Colombia. Biomedical Stomatology Research Group, Universidad de Antioquia U de A, Medellín, Colombia.
Background: The RTK-VEGF4 receptor family, which includes VEGFR-1, VEGFR-2, and VEGFR-3, plays a crucial role in tissue regeneration by promoting angiogenesis, the formation of new blood vessels, and recruiting stem cells and immune cells. Machine learning, particularly graph neural networks (GNNs), has shown high accuracy in predicting these interactions. This study aims to predict drug-gene interactions of the RTK-VEGF4 receptor family in periodontal regeneration using graph neural networks.
View Article and Find Full Text PDFBBA Adv
December 2024
University of São Paulo, Department of Cell and Developmental Biology, Institute of Biomedical Sciences (ICB), São Paulo, 05508-000, Brazil.
Metastases are the leading cause of cancer-related deaths, and their origin is not fully elucidated. Recently, studies have shown that extracellular vesicles (EVs), particularly small extracellular vesicles (sEV), can disrupt the homeostasis of organs, promoting the development of a secondary tumor. However, the role of sEV in brain endothelium and their association with metastasis related to breast cancer is unknown.
View Article and Find Full Text PDFChem Biol Drug Des
December 2024
Department of Biological Science, Bose Institute, Unified Academic Campus, Kolkata, India.
Vascular endothelial growth factor-A (VEGF-A) is a growth factor and pluripotent cytokine that promotes angiogenesis in cancer cells, transitioning to an angiogenic phenotype. The binding of VEGF-A protein to VEGF receptors (VEGFR-1 and VEGFR-2) initiates a cascade of events that stimulates angiogenesis by facilitating the migration and enhancing the permeability of endothelial cells. The proximal promoter of the VEGF gene encompasses a 36-base pair region (from -85 to -50) that can form a stable G-quadruplex (G4) structure in specific conditions.
View Article and Find Full Text PDFDevelopment
December 2024
Centre Hospitalier Universitaire Sainte-Justine Research Center, 3175 Chemin de la Côte-Sainte-Catherine, H3T 1C5 Montréal, QC, Canada.
VEGFA administration has been explored as a pro-angiogenic therapy for cardiovascular diseases including heart failure for several years, but with little success. Here, we investigate a different approach to augment VEGFA bioavailability: by deleting the VEGFA decoy receptor VEGFR1 (also known as FLT1), one can achieve more physiological VEGFA concentrations. We find that after cryoinjury, zebrafish flt1 mutant hearts display enhanced coronary revascularization and endocardial expansion, increased cardiomyocyte dedifferentiation and proliferation, and decreased scarring.
View Article and Find Full Text PDFBiochim Biophys Acta Mol Basis Dis
January 2025
Department of Pathophysiology, Key Laboratory of Targeted Intervention of Cardiovascular Disease and Molecular Intervention, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China. Electronic address:
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