A Cell Autonomous Free fatty acid receptor 4 - ChemR23 Signaling Cascade Protects Cardiac Myocytes from Ischemic Injury.

Acute myocardial infarction (AMI) causes ischemic damage and cardiac remodeling that ultimately progresses into ischemic cardiomyopathy (ICM). Coronary revascularization reduces morbidity and mortality from an MI, however, reperfusion also induces oxidative stress that drives cardiac myocyte (CM) dysfunction and ICM. Oxidative stress in CMs leads to reactive oxygen species (ROS) production and mitochondrial damage.

Effect of economic recession on the food purchasing behaviour of people of Karachi.

Economic recessions, extending beyond macro indicators, profoundly impact individual consumers and their foodpurchasing behaviour. This study examines how people in Karachi, Pakistan, purchase food and how the recession has affected that activity. Data from 384(100) participants were gathered using the cross-sectional study method in a survey.

Biobanking of human teeth for stem cell storage: Preserving stem cells for future needs.

Human teeth serves as a potential reservoir for postembryonic mesenchymal dental stem cells. Researchers have identified and isolated seven types of dental stem cells from pulp and periodontal ligament tissues. These cells have a wide range of clinical applications across the fields of medicine and dentistry due to their increased proliferative nature.

Understanding the Pattern of Resistance in Multi-drug Resistant Clinical Isolates of Acinetobacter baumannii based on Metabolomics Approach.

Antimicrobial resistance (AMR) poses significant challenges to global public health. The major cause of AMR development is previous use of antibiotics, hospitalization, and the lack of efficient methods for screening AMR pathogens. Mass spectrometry techniques offer rapid, sensitive, and early detection of AMR both on proteomics and metabolomics levels.

Deep learning and radiomics-based vascular calcification characterization in dental cone beam computed tomography as a predictive tool for cardiovascular disease: A proof-of-concept study.

Objectives: This study evaluated an automated deep learning method for detecting calcifications in the extracranial and intracranial carotid arteries and vertebral arteries in cone beam computed tomography (CBCT) scans. Additionally, a model utilizing CBCT-derived radiomics imaging biomarkers was evaluated to predict the cardiovascular diseases (CVD) of stroke and heart attack.

Methods: Models were trained using the nn-UNet architecture to identify three locations of arterial calcifications: extracranial carotid calcification (ECC), intracranial carotid calcification (ICC), and vertebral artery calcification (VAC).