Comprehensive Metabolomics in Mouse Mast Cell Model of Allergic Rhinitis for Profiling, Modulation, Semiquantitative Analysis, and Pathway Analysis.

Allergic rhinitis affects millions globally, causing significant discomfort and reducing the quality of life. This study investigates the metabolic alterations in murine mast cells (MC/9) under allergic rhinitis conditions induced by lipopolysaccharide (LPS) stimulation, employing UHPLC-QTOF-MS-based untargeted and targeted metabolomics. The analysis identified 44 significantly regulated metabolites, including histamine, leukotrienes, prostaglandins, thromboxanes, and ceramides.

Formulation, development and in vivo characterization of selegiline hydrochloride nanostructured lipid nanocarrier loaded microneedle array patch for depression.

Depression is a common mental condition causing depressed mood and loss of pleasure. The primary treatment approach for the management of depression consists of the use of selegiline (MAO-B) inhibitor compound. The present work aimed to develop and optimize selegiline-loaded nanostructured lipid carriers for transdermal application, utilizing a 2 full factorial design approach.

Light sheet fluorescence microscopy for monitoring drug delivery: Unlocking the developmental phases of embryos.

Light sheet fluorescence microscopy (LSFM) has emerged as a transformative imaging technique in the study of drug delivery and embryonic development, offering high-resolution, real-time visualization with minimal phototoxicity. This review examines the application of LSFM in tracking drug pharmacokinetics, tissue-specific targeting, and drug efficacy during critical phases of embryonic development. Recent advancements in fluorescent labeling and machine learning integration have enabled more precise monitoring of drug release, distribution, and interaction with developing tissues.

MythicVision: a deep learning powered mobile application for understanding Indian mythological deities using weight centric decision approach.

Indian mythology is a treasure trove of divine tales, yet a gap in understanding still exists between foreign tourists and the rich cultural heritage of Indian deities. To address the problem, this paper presents a deep learning-driven mobile application named "MythicVision" designed to help foreign tourists better understand India's rich cultural heritage by recognizing and interpreting images of Indian mythological deities. At first, four state-of-the-art deep models have been trained and evaluated on a custom in-house dataset consists of 10,970 images of various Indian deities sourced from both natural scene and web images.

Computed tomography coronary angiography as an alternative to invasive coronary angiography in preoperative evaluation for mitral surgery.

Objective: The aim of this study was to assess the effectiveness of non-invasive coronary computed tomography angiography (CTA) as an alternative to traditional invasive coronary angiography (ICA) for preoperative evaluation of low risk patients with an indication for non-emergent mitral surgery and to assess any difference in adverse outcomes from this strategy.

Methods: This was a retrospective cohort study from a single center with data collected from July 2014 - June 2020 for 1576 patients undergoing mitral valve surgery of all etiologies - excluding patients requiring coronary artery bypass surgery. We performed a 1:2 propensity score matching for patients evaluated with CT (n=345) to those evaluated with ICA (n=602).