Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10707450 | PMC |
| http://dx.doi.org/10.1111/apt.17453 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Glucagon like peptide-1 (GLP-1) agonists and cardiometabolic protection: historical development and future challenges.
Cardiovasc Diabetol
January 2025
Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have revolutionized the treatment of cardiometabolic diseases, extending their therapeutic applications far beyond glycemic control in type 2 diabetes (T2D) and obesity. This editorial synthesizes key milestones, from the discovery of GLP-1 to recent clinical trials highlighting the pleiotropic effects of GLP-1RAs in addressing the interconnected spectrum of cardiometabolic conditions, with a focus on cardiovascular, renal, and hepatic benefits. In addition, as GLP-1RAs continue to reshape the management of cardiometabolic disease and global public health, we discuss future challenges to better elucidate their mechanisms of cardiometabolic protection and maximize their therapeutic potential.
View Article and Find Full Text PDFIncreased plasma DOPA decarboxylase levels in Lewy body disorders are driven by dopaminergic treatment.
Nat Commun
January 2025
Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands.
DOPA Decarboxylase (DDC) has been proposed as a cerebrospinal fluid (CSF) biomarker with increased concentrations in Lewy body disorders (LBDs) and highest levels in patients receiving dopaminergic treatment. Here we evaluate plasma DDC, measured by proximity extension assay, and the effect of dopaminergic treatment in three independent LBD (with a focus on dementia with Lewy bodies (DLB) and Parkinson's disease (PD)) cohorts: an autopsy-confirmed cohort (n = 71), a large multicenter, cross-dementia cohort (n = 1498) and a longitudinal cohort with detailed treatment information (n = 66, median follow-up time[IQR] = 4[4, 4] years). Plasma DDC was not altered between different LBDs and other disease groups or controls in absence of treatment.
View Article and Find Full Text PDFCompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans.
Eur Radiol Exp
January 2025
Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Background: Body composition scores allow for quantifying the volume and physical properties of specific tissues. However, their manual calculation is time-consuming and prone to human error. This study aims to develop and validate CompositIA, an automated, open-source pipeline for quantifying body composition scores from thoraco-abdominal computed tomography (CT) scans.
View Article and Find Full Text PDFState-of-the-Art Personalized Therapy Approaches for Chronic Non-Specific Low Back Pain: Understanding the Mechanisms and Drivers.
Pain Ther
January 2025
Department for Nervous Diseases, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), 119991, Moscow, Russia.
Chronic non-specific low back pain (CNSLBP) is a debilitating condition that affects millions of people worldwide, significantly impacting quality of life and imposing a substantial socioeconomic burden. Traditional treatment approaches often rely on a one-size-fits-all strategy, failing to account for individual variations in pathophysiological mechanisms, drivers, and the principles of personalized medicine. Furthermore, an overemphasis on biomechanical findings from imaging may lead to ineffective interventions and unnecessary surgical procedures, obscuring other important factors that contribute to pain perception.
View Article and Find Full Text PDFFeasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis.
Eur Radiol Exp
January 2025
IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Background: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (AIS). Generative adversarial networks (GANs) have emerged as valuable tools being able to generate high-quality synthetic images. This study explores the use of GANs to generate synthetic sagittal radiographs from coronal views in AIS patients.
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!