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Quantification of ivermectin in veterinary products consumed off-label as a treatment for COVID-19.
Pharmazie
December 2024
Centre of Excellence for Pharmaceutical Sciences (Pharmacen™), North-West University, Potchefstroom, Republic of South Africa.
The COVID-19 pandemic caused global pandemonium, and due to an unprecedented global response, the popularity and use of (veterinary) ivermectin, amongst many other conceivable 'treatments', experienced a meteoric rise. Ivermectin is a macrocyclic lactone compound belonging to the avermectin drug class and is a registered medicine in many countries, although the most common use is as veterinary medicine. In this study, a fast HPLC method was developed and validated for the quantification of ivermectin in veterinary products that were used off-label by a substantial number of people during COVID-19.
View Article and Find Full Text PDFOptimization of x-ray dark-field CT for human-scale lung imaging.
Med Phys
January 2025
Department of Engineering Physics, Tsinghua University, Beijing, China.
Background: X-ray grating-based dark-field imaging can sense the small angle scattering caused by object's micro-structures. This technique is sensitive to the porous microstructure of lung alveoli and has the potential to detect lung diseases at an early stage. Up to now, a human-scale dark-field CT (DF-CT) prototype has been built for lung imaging.
View Article and Find Full Text PDFComparative Analysis of 4NQO- and Ethanol-Induced Oral Epithelial Dysplasia and Oral Squamous Cell Carcinoma in Male and Female Mice: Association With Peripheral Blood Inflammatory Markers.
J Oral Pathol Med
January 2025
Department of Oral and Maxillofacial Pathology, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Background: Considering that peripheral blood biomarkers are prognostic predictors for several human tumors, this study aimed to comparatively analyze the association of hematological alterations with the incidence of epithelial dysplasia (ED) and oral squamous cell carcinoma (OSCC) in male and female mice treated with 4-nitroquinoline-N-oxide (4NQO) and ethanol (EtOH).
Methods: 120 C57Bl/6J mice (60 males and 60 females) were allocated to four groups (n = 15). They were treated firstly either with 5 mg/mL propylene glycol (PPG) or 100 μg/mL 4NQO in the drinking water for 10 weeks, followed by sterilized water (HO) or 8% EtOH (v/v) for 15 weeks, as follows: PPG/HO, PPG/EtOH, 4NQO/HO, and 4NQO/EtOH (CEUA-UFU, #020/21).
Acute Concurrent Exercise Improves Inhibitory Control Without Mediating the Role of Lactate: An Event-Related Potential Study.
Sports Med Open
January 2025
Department of Physical Education and Sport Sciences, National Taiwan Normal University, 162, Section 1, Heping E. Road, Taipei, 106, Taiwan.
Background: Concurrent exercise (CE), an emerging exercise modality characterized by sequential bouts of aerobic (AE) and resistance exercise (RE), has demonstrated acute benefits on executive functions (EFs) and neuroelectric P3 amplitude. However, the effect of acute CE on inhibitory control, a sub-component of EFs, and P3 amplitude remains inconclusive. Moreover, exploring the mechanisms underlying the effects of acute exercise on EFs contributes to scientific comprehension, with lactate recognized as a crucial candidate positively correlated with EFs.
View Article and Find Full Text PDFExploring the role of multimodal [F]F-PSMA-1007 PET/CT and multiparametric MRI data in predicting ISUP grading of primary prostate cancer.
Eur J Nucl Med Mol Imaging
January 2025
The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Purpose: The study explores the role of multimodal imaging techniques, such as [F]F-PSMA-1007 PET/CT and multiparametric MRI (mpMRI), in predicting the ISUP (International Society of Urological Pathology) grading of prostate cancer. The goal is to enhance diagnostic accuracy and improve clinical decision-making by integrating these advanced imaging modalities with clinical variables. In particular, the study investigates the application of few-shot learning to address the challenge of limited data in prostate cancer imaging, which is often a common issue in medical research.
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