Background: While the beneficial effects of topical epidermal growth factor (EGF) on wound healing have been repeatedly reported, there are few reports about the effects of EGF on inflammatory skin diseases including acne.
Objective: To clarify the effects of EGF on acne, it was investigated whether recombinant human EGF (rhEGF) signalling can affect -induced cytokine expression in human epidermal keratinocytes.
Methods: The cultured normal human epidermal keratinocytes (NHK) were co-treated with and rhEGF, and mRNA levels of interleukin (IL)-1α, IL-8 and tumor necrosis factor (TNF)-α; toll-like receptor 2 (TLR2); and nuclear factor kappa B (NF-κB) were determined. Specific enzyme-linked immunosorbent assay kits were used to measure the IL-1α, IL-8 and TLR2 expression as well as the NF-κB activation in and rhEGF-treated NHK. After infecting the cultured NHK with live , an increased expression of IL-1α, IL-8 and TNF-α was detected, which was prevented by rhEGF co-treatment.
Results: TLR2 and NF-κB activity increased after treatment, and rhEGF treatment decreased TLR2 expression and NF-κB activity dose-dependently. The inhibition of EGF receptor by gefitinib attenuated the inhibitory effect of rhEGF on these increased expressions of proinflammatory cytokines and TLR2 and activity of NF-κB in NHK stimulated by .
Conclusion: These results suggest that EGF attenuated -induced inflammatory responses, at least in part, through the modulation of TLR2 signalling, and the topical application of rhEGF may be beneficial to relieve the inflammatory reactions of acne.
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http://dx.doi.org/10.5021/ad.2018.30.1.54 | DOI Listing |
Comput Biol Med
January 2025
Drug Design and Discovery Lab, Helmy Institute of Medical Sciences, Zewail City of Science, Technology and Innovation, Giza, 12578, Egypt; Biomedical Sciences Program, University of Science and Technology, Zewail City of Science, Technology and Innovation, Giza, 12578, Egypt. Electronic address:
Epidermal growth factor receptor (EGFR) is amongst the earliest targeted kinases by small-molecule inhibitors for the management of EGFR-positive cancer types. While a few inhibitors are granted FDA approval for clinical use, discovery of new inhibitors is still of merit to enhance ligand-binding stability and subsequent enzyme inhibition. Thus, a structure-based design approach was adopted to devise a new series of twenty-nine N3-substituted quinazolin-4-ones as type I ATP-competitive inhibitors targeting the deep hydrophobic pocket of EGFR.
View Article and Find Full Text PDFThe stress-induced keratin intermediate filament gene/protein (K16) is spatially restricted to the suprabasal compartment of the epidermis and extensively used as a biomarker for psoriasis, hidradenitis suppurativa, atopic dermatitis and other inflammatory disorders. However, its role in these conditions remains poorly defined. Here we show that K16 negatively regulates type-I interferon (IFN) signaling and innate immune responses.
View Article and Find Full Text PDFFront Immunol
January 2025
Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China.
Introduction: Non-small cell lung cancer (NSCLC) constitutes approximately 80-85% of cancer-related fatalities globally, and direct and indirect comparisons of various therapies for NSCLC are lacking. In this study, we aimed to compare the efficacy and safety of immune checkpoint inhibitors (ICIs) in patients with epidermal growth factor receptor (EGFR)-mutated NSCLC.
Methods: The electronic databases were systematically searched from inception until March 18, 2024.
J Transl Med
January 2025
Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Background: First-line treatment for advanced gastric adenocarcinoma (GAC) with human epidermal growth factor receptor 2 (HER2) is trastuzumab combined with chemotherapy. In clinical practice, HER2 positivity is identified through immunohistochemistry (IHC) or fluorescence in situ hybridization (FISH), whereas deep learning (DL) can predict HER2 status based on tumor histopathological features. However, it remains uncertain whether these deep learning-derived features can predict the efficacy of anti-HER2 therapy.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Electronics and Communications, Arab Academy for Science, Heliopolis, Cairo, 2033, Egypt.
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their implementation can be resource-intensive and costly. To reduce these obstacles and expedite the procedure, we present an efficient deep-learning model that generates high-quality IHC-stained images directly from Hematoxylin and Eosin (H&E) stained images.
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