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Ectonucleotidases and the nucleotide metabolism have been implicated as important regulators in diabetes disease. We evaluated the ectonucleotidase activities and biochemical parameters in blood serum of streptozotocin (STZ)-induced diabetic rats submitted a physical training protocol. We observed a raise in ATP, ADP, AMP and p-Nph-5'-TMP hydrolysis rate and in the levels of cholesterol and triglycerides in rat blood serum, after 30 days of diabetes induction. However, in serum of rats submitted a physical training protocol by forced swimming, both the nucleotide hydrolysis rate and the lipids levels returned to the control values. Considering that diabetes leads to multiple pathophysiological alterations, the modulations observed in ectonucleotidase activities may be part of the events involved in these alterations. Then the physical training is a very important way to control the vascular alterations developed in diabetes.
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http://dx.doi.org/10.3109/13813455.2012.697173 | DOI Listing |
Nanoscale Horiz
September 2025
Department of Physics, University of Science and Technology of China, 230026 Hefei, Anhui, China.
Surface photocatalysis holds significant promise for converting solar energy into chemical fuels and addressing environmental challenges. While calculations provide critical insights into the thermodynamic and kinetic aspects of catalytic reactions, applying these methods to surface photocatalysis remains challenging. In this work, we discuss the key challenges that need to be addressed when using calculations to understand surface photocatalytic processes, the reasons behind these challenges, and the potential directions and opportunities for overcoming them in the future.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
Dipartimento di Chimica, Università di Pavia, Via Taramelli 12, Pavia 27100, Italy.
Machine learning (ML) and deep learning (DL) methodologies have significantly advanced drug discovery and design in several aspects. Additionally, the integration of structure-based data has proven to successfully support and improve the models' predictions. Indeed, we previously demonstrated that combining molecular dynamics (MD)-derived descriptors with ML models allows to effectively classify kinase ligands as allosteric or orthosteric.
View Article and Find Full Text PDFBrain Behav
September 2025
Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Radiology, Shandong Provincial Hospital, Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Background: The susceptibility values of the basal ganglia reflect the health status of these nuclei. We aimed to explore the associations between various demographic characteristics, lifestyle factors, and biological factors that have the potential to contribute to magnetic susceptibility and investigate the comprehensive impact of these multiple factors on basal ganglia susceptibility values.
Methods: We included 25,980 participants from the UK Biobank.
Magn Reson Med
September 2025
Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Purpose: To develop a deep learning-based reconstruction method for highly accelerated 3D time-of-flight MRA (TOF-MRA) that achieves high-quality reconstruction with robust generalization using extremely limited acquired raw data, addressing the challenge of time-consuming acquisition of high-resolution, whole-head angiograms.
Methods: A novel few-shot learning-based reconstruction framework is proposed, featuring a 3D variational network specifically designed for 3D TOF-MRA that is pre-trained on simulated complex-valued, multi-coil raw k-space datasets synthesized from diverse open-source magnitude images and fine-tuned using only two single-slab experimentally acquired datasets. The proposed approach was evaluated against existing methods on acquired retrospectively undersampled in vivo k-space data from five healthy volunteers and on prospectively undersampled data from two additional subjects.
Brain Behav
September 2025
School of Physical Education and Health, Henan University of Chinese Medicine, Zhengzhou, China.
Background: Clinical and basic research suggests that exercise is a safe behavioral intervention and effective in improving cognition in vascular dementia (VD). However, despite global efforts, there is still no effective method to completely cure VD. This study aimed to investigate the effects of long-term exercise pretreatment on typical VD pathology in a rat model, and further compare the neuroprotective impacts of different exercise modalities on VD rats.
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