Diagnostic accuracy of mean platelet volume in cirrhotic patients with spontaneous bacterial peritonitis presented to the emergency department.

Background: The aim of this study was to investigate the diagnostic accuracy of mean platelet volume (MPV) in predicting SBP in cirrhotic patients.

Methods: This was an observational, analytical, and retrospective study conducted on cirrhotic patients with abdominal ascites referred to the emergency department (ED) over a 1-year period. The cirrhotic patients with ascites were divided into two groups with or without SBP.

A deep learning model based on the BERT pre-trained model to predict the antiproliferative activity of anti-cancer chemical compounds.

Identifying new compounds with minimal side effects to enhance patients' quality of life is the ultimate goal of drug discovery. Due to the expensive and time-consuming nature of experimental investigations and the scarcity of data in traditional QSAR studies, deep transfer learning models, such as the BERT model, have recently been suggested. This study evaluated the model's performance in predicting the anti-proliferative activity of five cancer cell lines (HeLa, MCF7, MDA-MB231, PC3, and MDA-MB) using over 3,000 synthesized molecules from PubChem.

Epstein-Barr Virus and gastric carcinoma pathogenesis with emphasis on underlying epigenetic mechanisms.

Gastric cancer (GC) remains one of the top causes of cancer-related mortality around the world. The pathogenesis of GC is attributed to lifestyle, family history, genetic mutations, epigenetic alterations, as well as infectious agents such as Epstein-Barr Virus (EBV). EBV, a ubiquitous human gamma herpes virus, with latent asymptomatic infection in more than 95% of the world's population, is able to infect through the oral epithelium.

Application of magnetic deep eutectic solvents as an efficient catalyst in the synthesis of new 1,2,3-triazole-nicotinonitrile hybrids a cooperative vinylogous anomeric-based oxidation.

Magnetic deep eutectic solvents (MDESs) are adjuvants and an emerging subclass of heterogeneous catalysts in organic transformations. Herein, choline chloride (Ch/Cl) embedded on naphthalene bis-urea-supported magnetic nanoparticles, namely, FeO@SiO@DES1, was constructed by a special approach. This compound was scrutinized and characterized by instrumental techniques such as FTIR, thermogravimetry and derivative thermogravimetry (TGA/DTG), field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDS), elemental mapping, vibrating sample magnetometer (VSM) and X-ray diffraction (XRD) analyses.

The Potential of Nanotechnology in Anti-Cancer Drug to Regulate Nrf2 Signaling for Cancer Therapeutic Purposes.

Nuclear factor erythroid 2-related factor 2 (Nrf2) is a regulator of the cellular antioxidant defense system that plays an important role in reducing the risk of various pathophysiological conditions, including cancer. Targeting Nrf2 presents an attractive therapeutic approach to overcome these challenges and improve cancer treatment outcomes. Nanoparticles, with their unique physicochemical properties, offer several advantages over conventional therapies for targeting Nrf2.