Evidence indicates that the adenosine A2A receptor subtype is of critical importance in stroke. In previous studies, in the model of permanent middle cerebral artery occlusion (pMCAo), the adenosine A2A receptor antagonist, SCH58261, administered soon after ischemia, proved protective against excessive glutamate outflow in the first 4 h after ischemia and against neurological deficit and tissue damage evaluated 24 h after pMCAo. In the present work, we investigated if neuroprotective effect of SCH58261 was maintained 7 days after transient MCAo (tMCAo). SCH58261 (0.01 mg/kg, i.p.), administered twice/day for 7 days, protected from neurological deficit 1 day after tMCAo, but no more after 5 and 7 days. Two days after tMCAo, SCH58261 did not reduce blood cell infiltration, evaluated as HIS-48 positive cells, into ischemic striatal and cortical tissue. Moreover, 7 days after tMCAo, SCH58261 has not protected ischemic areas from damage and has not ameliorated myelin organization into the ischemic striatum. Protection by the A2A receptor antagonist 24 h after ischemia is attributable to reduced excitotoxicity. Seven days after ischemia the early protective effect of the A2A receptor antagonist likely has been overwhelmed by a secondary damage due to blood cell infiltration and neuroinflammation.
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http://dx.doi.org/10.1007/s10072-015-2160-y | DOI Listing |
Clin Neuropharmacol
January 2025
MedStar Georgetown University Hospital, Washington, DC.
Introduction: Adjunctive therapies to treat OFF episodes resulting from long-term levodopa treatment in Parkinson disease (PD) are hampered by safety and tolerability issues. Istradefylline offers an alternative mechanism (adenosine A2A receptor antagonist) and therefore potentially improved tolerability.
Methods: A systematic review of PD adjuncts published in 2011 was updated to include randomized controlled trials published from January 1, 2010-April 15, 2019.
iScience
January 2025
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan.
Drugs that interact with multiple therapeutic targets are potential high-value products in polypharmacology-based drug discovery, but the rational design remains a formidable challenge. Here, we present artificial intelligence (AI)-based methods to design the chemical structures of compounds that interact with multiple therapeutic target proteins. The molecular structure generation is performed by a fragment-based approach using a genetic algorithm with chemical substructures and a deep learning approach using reinforcement learning with stochastic policy gradients in the framework of generative adversarial networks.
View Article and Find Full Text PDFNeurochem Res
January 2025
Department of Biochemistry and Molecular Biology, Federal University of Santa Maria (UFSM), Santa Maria, RS, Brazil.
Purinergic signaling plays a major role in aging and neurodegenerative diseases, which are associated with memory decline. Blackcurrant (BC), an anthocyanin-rich berry, is renowned for its antioxidant and neuroprotective activities. However, evidence on the effects of BC on purinergic signaling is lacking.
View Article and Find Full Text PDFActa Pharmacol Sin
January 2025
Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Joint International Research Laboratory of Sleep, Fudan University, Shanghai, 200032, China.
Adenosine A receptor (AR) plays a pivotal role in the regulation of sleep-wake behaviors. We previously reported an AR selective antagonist compound 38 with an IC value of 29.0 nM.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
CEITEC─Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic.
All-atom molecular dynamics simulations are powerful tools for studying cell membranes and their interactions with proteins and other molecules. However, these processes occur on time scales determined by the diffusion rate of phospholipids, which are challenging to achieve in all-atom models. Here, we present a new all-atom model that accelerates lipid diffusion by splitting phospholipid molecules into head and tail groups.
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