Publications by authors named "M Leja"
Background: Neurohormonal blocking drugs, like beta-blockers, angiotensin-converting enzyme inhibitors (ACEIs), and angiotensin receptor blockers (ARBs), are recommended for treating anthracycline-induced left ventricular dysfunction (AILVD). However, there is limited evidence supporting their benefit. Therefore, this study evaluated associations of neurohormonal blockers and other clinical factors with recovery of left ventricular ejection fraction (LVEF) in patients with AILVD.
View Article and Find Full Text PDFGastric cancer remains a leading cause of cancer-related mortality, requiring the urgent development of innovative diagnostic tools for early detection. This study presents an integrated infrared spectroscopic electronic nose system, a novel device that combines infrared (IR) spectroscopy and electronic nose (eNose) concepts for analyzing volatile organic compounds (VOCs) in exhaled breath. This system was calibrated using relevant gas mixtures and then tested during a feasibility study involving 26 gastric cancer patients and 32 healthy controls using chemometric analyses to distinguish between exhaled breath profiles.
View Article and Find Full Text PDFZebrafish in-vivo study reveals deleterious activity of human TBC1D24 genetic variants linked with autosomal dominant hearing loss.
Biochim Biophys Acta Mol Basis Dis
February 2025
Article Synopsis
- Genetic variants in the TBC1D24 gene are linked to non-syndromic autosomal dominant hearing loss (ADHL), but their molecular mechanisms remain unclear.
- Researchers used zebrafish to study TBC1D24's role in hearing and how specific harmful mutations affect its function.
- Experiment results showed that knocking down TBC1D24 led to ear structure defects and movement issues in zebrafish embryos, with harmful mutations interfering more than normal gene expression, thus pinpointing TBC1D24's critical role in inner ear development and ciliary function.
Article Synopsis
- Bismuth quadruple therapies (BQTs) have been effective in treating Helicobacter pylori infections in Europe, particularly in the face of antibiotic resistance, with notable use increasing from 8.6% in 2013 to 39% in 2021.
- An analysis of data from nearly 50,000 patients indicated that the single-capsule BQT was the most common regimen and achieved over 90% effectiveness with certain combinations.
- Key factors that improved treatment success included adherence to the regimen, use of high-dose proton pump inhibitors, and implementing the therapy as a first-line treatment.
Article Synopsis
- The integration of artificial intelligence in medical diagnostics significantly enhances the management of upper gastrointestinal cancer, particularly gastric cancer, where early detection is crucial.
- Foundation models (FMs) are advanced machine learning tools that improve the accuracy of endoscopic procedures and pathology image analysis.
- This review discusses the principles, emerging trends, and challenges in implementing FMs in clinical practice, aiming to guide researchers and healthcare professionals in improving patient outcomes related to gastric cancer.