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http://dx.doi.org/10.1136/sextrans-2023-055885 | DOI Listing |
Anal Chem
January 2025
School of Molecular and Cellular Biology and Astbury Centre, University of Leeds, Leeds LS2 9JT, U.K.
Hydrogen/deuterium exchange mass spectrometry (HDX-MS) is a powerful technique to interrogate protein structure and dynamics. With the ability to study almost any protein without a size limit, including intrinsically disordered ones, HDX-MS has shown fast growing importance as a complement to structural elucidation techniques. Current experiments compare two or more related conditions (sequences, interaction partners, excipients, conformational states, etc.
View Article and Find Full Text PDFScand J Clin Lab Invest
January 2025
Centre for Physical Activity Research, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
The objective of the current review was to identify whether clinically established lung function metrics of ventilatory and diffusion capacity obtained by standardised methodology are consistent with superior lung function in athletes, and whether this is related to maximal oxygen uptake (V̇O). Three independent reviewers performed a literature search in PubMed, Scopus, and reference screening. Data was extracted and analysed according to a predefined strategy.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Departments of Radiology and Medical Physics, University of Wisconsin - Madison, Madison, WI, 53705, USA.
Purpose: Trophoblast cell-surface antigen 2 (Trop2) is overexpressed in various solid tumors and contributes to tumor progression, while its expression remains low in normal tissues. Trop2-targeting antibody-drug conjugate (ADC), sacituzumab govitecan-hziy (Trodelvy), has shown efficacy in targeting this antigen. Leveraging the enhanced specificity of ADCs, we conducted the first immunoPET imaging study of Trop2 expression in gastric cancer (GC) and triple-negative breast cancer (TNBC) models using Zr-labeled Trodelvy ([Zr]Zr-DFO-Trodelvy).
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.
Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.
Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.
Ther Deliv
January 2025
Department of Pharmaceutical Technology, School of Pharmacy, International Medical University (IMU), Kuala Lumpur, Malaysia.
Aim: Abemaciclib (ABE) is an anticancer drug that suffers from low bioavailability and multidrug resistance. This study aims to develop ABE-loaded solid lipid nanoparticles (ABE-SLNs), which will enhance drug solubility and lead to increased cellular uptake and enhanced cytotoxicity when delivering tumor cells.
Methods: Melt emulsification followed by ultrasonication was used as a method of preparation and Quality-by-Design (QbD) was utilized to optimize ABE-SLNs.
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