The effect of an endotoxin from Sh. Boydii on the biotransformation of amidopyrine and acetanilide, the activity of microsomal monooxygenases, hemoxygenase, and xanthine oxidase, the lipid peroxidation (LPO) intensity, the phospholipid spectrum, and the solubilization of microsomal membrane components was studied by intraperitoneal injections (2.5 mg/kg) in rats. It was found that the endotoxin inhibits the reactions of C- and N-acetanilide hydroxylation, N-amidopyrine demethylation, acetanilide hydrolysis at the amide bond, conjugation of aminophenol metabolites with glucuronic acid and sulfate, and 4-aminoantipyrine binding to acetate. The endotoxin effect reached maximum 24 h after injection and was observed for 96 h. The inhibition of metabolism of the test preparations is related to a decrease in the content of cytochrome P-450 and in the activity of 1A2, its 2B, 2C, 3A, and 2E1 isoforms. This is obviously caused by activated LPO and enhanced nitric oxide synthesis, as evidenced by a tenfold increase in the content of NO metabolites (nitrites and nitrates) in the blood of test animals. In clinical practice, it is necessary to take into account the possibility of a significant biotransformation of drugs in the acute period of bacterial infection, which may lead to changes in the pharmacological effect and toxicity of some drugs.
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J Am Soc Nephrol
January 2025
State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, China.
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View Article and Find Full Text PDFBrief Bioinform
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Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China.
Studying the changes in cellular transcriptional profiles induced by small molecules can significantly advance our understanding of cellular state alterations and response mechanisms under chemical perturbations, which plays a crucial role in drug discovery and screening processes. Considering that experimental measurements need substantial time and cost, we developed a deep learning-based method called Molecule-induced Transcriptional Change Predictor (MiTCP) to predict changes in transcriptional profiles (CTPs) of 978 landmark genes induced by molecules. MiTCP utilizes graph neural network-based approaches to simultaneously model molecular structure representation and gene co-expression relationships, and integrates them for CTP prediction.
View Article and Find Full Text PDFJCI Insight
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CNRS UMR 5164, INSERM ERL 1303, ImmunoConcEpT, University of Bordeaux, Bordeaux, France.
CD8+ T cells are critical for immune protection against severe COVID-19 during acute infection with SARS-CoV-2. However, the induction of antiviral CD8+ T cell responses varies substantially among infected people, and a better understanding of the mechanisms that underlie such immune heterogeneity is required for pandemic preparedness and risk stratification. In this study, we analyzed SARS-CoV-2-specific CD4+ and CD8+ T cell responses in relation to age, clinical status, and inflammation among patients infected primarily during the initial wave of the pandemic in France or Japan.
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Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Carl-Neuberg Str. 1, 30625 Hannover, Germany.
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