The aim of this study was to test the hypothesis whether MERTK, which is up-regulated in human DCs treated with immunosuppressive agents, is directly involved in modulating T cell activation. MERTK is a member of the TAM family and contributes to regulating innate immune response to ACs by inhibiting DC activation in animal models. However, whether MERTK interacts directly with T cells has not been addressed. Here, we show that MERTK is highly expressed on dex-induced human tol-DCs and participates in their tolerogenic effect. Neutralization of MERTK in allogenic MLR, as well as autologous DC-T cell cultures, leads to increased T cell proliferation and IFN-γ production. Additionally, we identify a previously unrecognized noncell-autonomous regulatory function of MERTK expressed on DCs. Mer-Fc protein, used to mimic MERTK on DCs, suppresses naïve and antigen-specific memory T cell activation. This mechanism is mediated by the neutralization of the MERTK ligand PROS1. We find that MERTK and PROS1 are expressed in human T cells upon TCR activation and drive an autocrine proproliferative mechanism. Collectively, these results suggest that MERTK on DCs controls T cell activation and expansion through the competition for PROS1 interaction with MERTK in the T cells. In conclusion, this report identified MERTK as a potent suppressor of T cell response.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370049 | PMC |
http://dx.doi.org/10.1189/jlb.3A0714-334R | DOI Listing |
Food Chem
December 2024
The Blue Chemistry Lab Group, Department of Pharmacy, Università degli Studi di Napoli Federico II, Napoli, Italy. Electronic address:
Grape pomace (GP), a by-product of the wine supply chain process, contains bioactive molecules with known healthy properties. This study examines the impact of different extraction techniques on three GPs of Aglianico cultivar [Cantine del Notaio, Barile, and Torrecuso]. Five eco-friendly extractive techniques [maceration (MAC), digestion (DIG), accelerated solvent extraction (ASE), microwaves (MW), and ultrasound (US)] were used with 50 % ethanol/water as solvent.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
Institute of Chemistry, Federal University of Mato Grosso do Sul, Avenida Senador Filinto Muller 1555, Campo Grande, Mato Grosso do Sul 79074-460, Brazil.
There has been huge interest among chemical scientists in the electrochemical reduction of nitrate (NO) to ammonia (NH) due to the useful application of NH in nitrogen fertilizers and fuel. To conduct such a complex reduction reaction, which involves eight electrons and eight protons, one needs to develop high-performance (and stable) electrocatalysts that favor the formation of reaction intermediates that are selective toward ammonia production. In the present study, we developed and applied CoO/graphene nanoribbon (GNR) electrocatalysts with excellent properties for the effective reduction of NO to NH, where NH yield rate of 42.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Drug resistance of cancers remains a major obstacle due to limited therapeutics. Lysosome targeting is an effective method for overcoming drug resistance in cancer cells. St-N (ent-13-hydroxy-15-kaurene-19-acid N-methylpiperazine ethyl ester) is a novel alkaline stevioside derivative with an amine group.
View Article and Find Full Text PDFPLoS One
December 2024
Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Zhejiang, Hangzhou, China.
Purpose: Approximately 20% of all breast cancer cases are classified as triple-negative breast cancer (TNBC), which represents the most challenging subtype due to its poor prognosis and high metastatic rate. Caffeic acid phenethyl ester (CAPE), the main component extracted from propolis, has been reported to exhibit anticancer activity across various tumor cell types. This study aimed to investigate the effects and mechanisms of CAPE on TNBC.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Pharmacology, Kangwon National University School of Medicine, Chuncheon, Republic of Korea.
The increasing utilization of deep learning models in drug repositioning has proven to be highly efficient and effective. In this study, we employed an integrated deep-learning model followed by traditional drug screening approach to screen a library of FDA-approved drugs, aiming to identify novel inhibitors targeting the TNF-α converting enzyme (TACE). TACE, also known as ADAM17, plays a crucial role in the inflammatory response by converting pro-TNF-α to its active soluble form and cleaving other inflammatory mediators, making it a promising target for therapeutic intervention in diseases such as rheumatoid arthritis.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!