Human EGF Protein, Mouse IgG2a Fc Tag

Abstract: Angiogenesis, the formation of new vessels from existing vessels, is mediated by vascular endothelial growth factor (VEGF) and platelet-derived growth factor (PDGF). Despite discoveries supporting the cross-family interactions between VEGF and PDGF families, sharing the binding partners between them makes it challenging to identify growth factors that predominantly affect angiogenesis. Systems biology offers promises to untangle this complexity. Thus, in this study, we developed a mass-action kinetics-based computational model for cross-family interactions between VEGFs (VEGF-A, VEGF-B, and PlGF) and PDGFs (PDGF-AA, PDGF-AB, and PDGF-BB) with their receptors (VEGFR1, VEGFR2, NRP1, PDGFRα, and PDGFRβ). The model, parametrized with our literature mining and surface resonance plasmon assays, was validated by comparing the concentration of VEGFR1 complexes with a previously constructed angiogenesis model. The model predictions include five outcomes: 1) the percentage of free or bound ligands and 2) receptors, 3) the concentration of free ligands, 4) the percentage of ligands occupying each receptor, and 5) the concentration of ligands that is bound to each receptor. We found that at equimolar ligand concentrations (1 nM), PlGF and VEGF-A were the main binding partners of VEGFR1 and VEGFR2, respectively. Varying the density of receptors resulted in the following five outcomes: 1) Increasing VEGFR1 density depletes the free PlGF concentration, 2) increasing VEGFR2 density decreases PDGF:PDGFRα complexes, 3) increased NRP1 density generates a biphasic concentration of the free PlGF, 4) increased PDGFRα density increases PDGFs:PDGFRα binding, and 5) increasing PDGFRβ density increases VEGF-A:PDGFRβ. Our model offers a reproducible, fundamental framework for exploring cross-family interactions that can be extended to the tissue level or intracellular molecular level. Also, our model may help develop therapeutic strategies in pathological angiogenesis by identifying the dominant complex in the cell signaling.New blood vessel formation from existing ones is essential for growth, healing, and reproduction. However, when this process is disrupted-either too much or too little-it can contribute to diseases such as cancer and peripheral arterial disease. Two key families of proteins, vascular endothelial growth factors (VEGFs) and platelet-derived growth factors (PDGFs), regulate this process. Traditionally, scientists believed that VEGFs only bind to VEGF receptors and PDGFs to PDGF receptors. However, recent findings show that these proteins can interact with each other's receptors, making it more challenging to understand and control blood vessel formation. To clarify these complex interactions, we combined computer modeling with biological data to map out which proteins bind to which receptors and to what extent. Our findings show that when VEGFs and PDGFs are present in equal amounts, VEGFs are the primary binding partners for VEGF receptors. We also explored how changes in receptor levels affect these interactions in disease-like conditions. This work provides a foundational computational model for studying cross-family interactions, which can be expanded to investigate tissue-level effects and processes inside cells. Ultimately, our model may help develop better treatments for diseases linked to abnormal blood vessel growth by identifying key protein-receptor interactions.

Abstract: Thyroid eye disease (TED) is a complex autoimmune disease. Early detection with routine disease monitoring using biomarker assessment would help in mitigating TED-associated vision loss. Hence, we performed a non-invasive tear fluid (TF) based screening in patients with TED as part of the South Indian Thyroid Eye Disease Study (SITED).We used TF from healthy controls (HC;13 eyes;13 subjects), patients with thyroid dysfunction but without TED (No TED;11 eyes;11 subjects) and patients with TED (18 eyes;18 subjects). TED subjects were further sub-divided into those with and without an active form of the disease. Patients with dysthyroid optic neuropathy (DON) were analyzed separately. The diagnosis of TED was based on Gorman and Bartley's criteria. Activity was defined as scoring more than 4 in the Vision, Inflammation, Strabismus and Appearance (VISA). Schirmer's strip was used to collect TF and the levels of IL-2, IL-4, IL-5, IL-6, IL-7, IL-9, IL-10, IL-13, IL-17A, IL-17F, IL-22, IFNγ, TNFα, PDGF-AA and PDGF-BB were determined by multiplex ELISA using flow cytometry.Significantly (p < 0.05) higher levels of IL-6 and IL-10 were observed in TED patients compared to HC and No TED subjects. TF levels of IL-6 and IL-10 were significantly higher in active TED patients compared to No TED subjects. Interestingly, TF levels of PDGF-AA were observed to be negatively associated with IL-4 and IL-13.Elevated TF levels of IL-6 and IL-10 can be explored for their role as a non-invasive risk stratification biomarker or as targets to modulate management of TED.

Abstract: To investigate whether sub-Tenon injection of triamcinolone acetonide (STTA) combined with anti-vascular endothelial growth factor (VEGF) prolongs the recurrence intervals of macular edema (ME) for chronic retinal vein occlusion (RVO) and to investigate the differences in intraocular inflammatory cytokines between good responders (GRs) and non-responders (NRs).This retrospective, observational study involved 42 eyes of 42 patients with ME due to chronic RVO who had received only anti-VEGF for ≥ 1 year and were transitioned to combination therapy. GRs were defined as patients whose recurrence intervals were prolonged by ≥ 2 weeks compared with patients receiving anti-VEGF alone. Moreover, immediately before starting the combined therapy, aqueous humor was collected and the following inflammatory cytokines were compared between GRs and NRs: CCL11, MCP-3, IP-10, CCL13, G-CSF, GM-CSF, IL-1α, IL-15, IL-4, M-CSF, MMP-9, TNF-α, MCP-1, CXCL-1, CXCL12, IL-8, galectin-1, IFN-γ, IL-12, IL-2, IL-6, MMP-1, PDGF-AA, and VEGF-A. These results were analyzed by nominal logistic regression after stepwise variable selection.There were 26 eyes (62%) in the GR group. Nominal logistic analyses showed that a higher concentration of IL-1α (P = 0.016) and lower concentrations of IL-5 (P = 0.015), IL-6 (P = 0.022), and galectin-1 (P = 0.015) were significantly associated with the extension of the time from injection to recurrence of ME.Combined anti-VEGF and STTA therapy for chronic RVO was effective in 62% of patients, suggesting the effectiveness of STTA. Higher IL-1α and lower IL-5, IL-6, and galectin-1 were the factors associated with combined treatment effectiveness.© 2025. The Author(s).

Abstract: Inflammation plays a major role in cognitive aging. Most studies on peripheral inflammation and cognitive aging focused on selected major inflammatory biomarkers. However, inflammatory markers are regulated and influenced by each other, and it is therefore important to consider a more comprehensive panel of markers to better capture diverse immune pathways and characterize the overall inflammatory profile of individuals. We explored 23 circulating inflammatory biomarkers using data from 1,743 participants without dementia (≥ 65 years-old) from the community-based, multiethnic Washington Heights Inwood Columbia Aging Project. Using principal component analysis (PCA), we developed six inflammatory profiles (PC-1 to PC-6) based on these 23 biomarkers and tested the association of resulting inflammatory profile with cognitive decline, over up to 12 years of follow-up. PC-1 described a pro-inflammatory profile characterized by high positive loadings for pro-inflammatory biomarkers. A higher PC-1 score was associated with lower baseline cognitive performances. No association of this profile with cognitive decline was observed in longitudinal analysis. However, PC-5 characterized by high PDGF-AA and RANTES was associated with a faster cognitive decline. Among older adults, a circulating pro-inflammatory immune profile is associated with lower baseline cognitive performance, and some specific pro-inflammatory cytokines might be associated with faster cognitive decline.© 2025. The Author(s).