Triciribine (TCN) is a tricyclic nucleoside. Its synthesis was first described in 1971. Subsequent studies have indicated that TCN plays a role in inhibiting DNA synthesis and was revealed to possess a higher selectivity for Akt. Although a single dose of TCN demonstrated limited activity in solid tumors at the clinical level, combinations of TCN with various agents, such as specific inhibitors, tyrosine kinase inhibitor dasatinib, ErbB inhibitor tipifarnib, IGF1-R inhibitor NVP-AEW541, mTORC1 inhibitor RAD-001, TNF-related apoptosis-inducing ligand, PPARγ agonist, 1,25(OH)2D3, gemcitabine, and paclitaxel, have been reported to be efficient against various malignancies such as pancreatic, breast, prostate cancer, insulinoma, gut neuroendocrine tumor, and hepatocellular carcinoma at the preclinical level. Other than malignancies, through Akt inhibition activity, TCN has also been demonstrated potential for treating lung injuries, including those encountered in COVID-19 infections.
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http://dx.doi.org/10.1080/1120009X.2024.2403050 | DOI Listing |
J Chem Inf Model
January 2025
Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, 44 West Culture Road, Jinan 250012, Shandong, China.
-Methyl-d-aspartate (NMDA) receptors, a subtype of ionotropic glutamate receptors in the central nervous system (CNS), have garnered attention for their role in brain disorders. Specifically, GluN2A-containing NMDA receptors have emerged as a potential therapeutic target for the treatment of depressive disorders and epilepsy. However, the development of GluN2A-containing NMDA receptor-selective antagonists, represented by -(4-(2-benzoylhydrazine-1-carbonyl)benzyl)-3-chloro-4-fluorobenzenesulfonamide (TCN-201) and its derivatives, faces a significant challenge due to their limited ability to penetrate the blood-brain barrier (BBB), hampering their characterization and further advancement.
View Article and Find Full Text PDFFood Chem
January 2025
College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China. Electronic address:
Consumption of contaminated wines is a significant source of ochratoxin A (OTA) intake in humans, yet existing techniques for OTA removal are inadequate. This study constructs a TiO/SiO/g-CN catalyst (TiSiMs-TCN) with a tubular structure, capable of efficiently removing OTA from both simulated and real wines under visible light irradiation. The results of experiments, characterizations, and theoretical calculations demonstrate that the incorporation of silica enhances the adsorption capacity for OTA, and the tubular structure improves the catalyst's photoelectric properties.
View Article and Find Full Text PDFClin Neuropsychol
January 2025
Department of Psychiatry, Brown University Health, Providence, RI, USA.
Older adults with cognitive impairment are at risk of medication-taking errors. This study assessed the impact of providing medication adherence feedback to cognitively impaired older adults. Forty participants with mild cognitive impairment or mild dementia had their medication adherence electronically monitored for 8 weeks.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Electrocardiogram (ECG) signals contain complex and diverse features, serving as a crucial basis for arrhythmia diagnosis. The subtle differences in characteristics among various types of arrhythmias, coupled with class imbalance issues in datasets, often hinder existing models from effectively capturing key information within these complex signals, leading to a bias towards normal classes. To address these challenges, this paper proposes a method for arrhythmia classification based on a multi-branch, multi-head attention temporal convolutional network (MB-MHA-TCN).
View Article and Find Full Text PDFSensors (Basel)
December 2024
Fundación Centro Tecnológico CTC-Scientific and Technological Park of Cantabria (PCTCAN), Street Isabel Torres Nº 1, 39011 Santander, Spain.
This study presents the design and validation of a numerical method based on an AI-driven ROM framework for implementing stress virtual sensing. By leveraging Reduced-Order Models (ROMs), the research aims to develop a virtual stress transducer capable of the real-time monitoring of mechanical stresses in mechanical components previously analyzed with high-resolution FEM simulations under a wide range of multiple load scenarios. The ROM is constructed through neural networks trained on Finite Element Method (FEM) outputs from multiple scenarios, resulting in a simplified yet highly accurate model that can be easily implemented digitally.
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