Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Probing Native CB2 Receptor Mobility in Plasma Membranes of Living Cells by Fluorescence Recovery After Photobleaching.
Chembiochem
January 2025
University of Teramo: Universita degli Studi di Teramo, Veterinary Medicine, Piano d'Accio snc, 64100, Teramo, ITALY.
In this study, we employed a novel fluorescent probe, RO7304924-which selectively targets cannabinoid 2 receptor (CB2R)-to assess the lateral mobility of CB2R within the plasma membrane of Chinese hamster ovary cells stably expressing a functional, untagged receptor variant. Utilizing confocal fluorescence recovery after photobleaching (FRAP), we quantified the diffusion coefficient and mobile fraction of CB2R, thereby demonstrating the efficacy of RO7304924 as an innovative tool for elucidating the dynamics of this major endocannabinoid-binding G protein-coupled receptor. Our present findings highlight the potential of combining advanced ligand-based fluorescent probes with FRAP for future investigations into the biochemical details of CB2R mobility in living cells, and its impact on receptor-dependent cellular processes.
View Article and Find Full Text PDFNovel Strategies for the Treatment of Lung Cancer: An In-depth Analysis of the Use of Immunotherapy, Precision Medicine, and Artificial Intelligence to Improve Prognoses.
Curr Med Chem
January 2025
Shree S K Patel College of Pharmaceutical Education and Research, Ganpat University, Mahesana, Gujarat, 384012, India.
Therapeutic hurdles persist in the fight against lung cancer, although it is a leading cause of cancer-related deaths worldwide. Results are still not up to par, even with the best efforts of conventional medicine, thus new avenues of investigation are required. Examining how immunotherapy, precision medicine, and AI are being used to manage lung cancer, this review shows how these tools can change the game for patients and increase their chances of survival.
View Article and Find Full Text PDFCordycepin and Its Structural Derivatives Effectively Suppress the High Expression of Epidermal Growth Factor Receptor (EGFR) Tyrosine Kinase in Breast Carcinomas: A Computational Drug Development Approach.
Curr Med Chem
January 2025
Laboratory of Pharmaceutical Biotechnology and Bioinformatics, Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Background: Breast cancer is a frequently diagnosed malignant disease and the primary cause of mortality among women with cancer worldwide. The therapy options are influenced by the molecular subtype due to the intricate nature of the condition, which consists of various subtypes. By focusing on the activation of receptors, Epidermal Growth Factor Receptor (EGFR) tyrosine kinase can be utilized as an effective drug target for therapeutic purposes of breast cancer.
View Article and Find Full Text PDFEarly Dynamics of Portal Pressure Gradient After TIPS Insertion Predict Mortality.
Aliment Pharmacol Ther
January 2025
Department of Internal Medicine IV (Gastroenterology, Hepatology and Infectious Diseases), Jena University Hospital, Friedrich-Schiller-University, Jena, Germany.
Background: Transjugular intrahepatic portosystemic shunt (TIPS) placement leads to a reduction in portal pressure and an improvement in survival in patients with recurrent and refractory ascites and variceal haemorrhage. Prediction of post-TIPS survival is primarily determined by factors identified before the TIPS procedure, as data collected during or after TIPS implantation are limited. The aim of the study was to evaluate the influence of early hemodynamic changes after TIPS placement on survival, in order to refine post TIPS management.
View Article and Find Full Text PDFDiagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.
Ann Neurol
January 2025
Department of Neurology, Comprehensive Epilepsy Center, Johns Hopkins University, Baltimore, MD, USA.
Objective: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single routine EEG is limited in its diagnostic value. Only a small percentage of routine EEGs show interictal epileptiform discharges (IEDs) and overall misdiagnosis rates of epilepsy are 20% to 30%. We aim to demonstrate how network properties in EEG recordings can be used to improve the speed and accuracy differentiating epilepsy from mimics, such as functional seizures - even in the absence of IEDs.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!