Activation of a naive T cell is a highly energetic event, which requires a substantial increase in nutrient metabolism. Upon stimulation, T cells increase in size, rapidly proliferate, and differentiate, all of which lead to a high demand for energetic and biosynthetic precursors. Although amino acids are the basic building blocks of protein biosynthesis and contribute to many other metabolic processes, the role of amino acid metabolism in T cell activation has not been well characterized. We have found that glutamine in particular is required for T cell function. Depletion of glutamine blocks proliferation and cytokine production, and this cannot be rescued by supplying biosynthetic precursors of glutamine. Correlating with the absolute requirement for glutamine, T cell activation induces a large increase in glutamine import, but not glutamate import, and this increase is CD28-dependent. Activation coordinately enhances expression of glutamine transporters and activities of enzymes required to allow the use of glutamine as a Krebs cycle substrate in T cells. The induction of glutamine uptake and metabolism requires ERK function, providing a link to TCR signaling. Together, these data indicate that regulation of glutamine use is an important component of T cell activation. Thus, a better understanding of glutamine sensing and use in T cells may reveal novel targets for immunomodulation.
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http://dx.doi.org/10.4049/jimmunol.0903586 | 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.
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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.
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