The adenosine A2A receptor is considered to be an important target for the development of new therapies for Parkinson's disease. Several antagonists of the A2A receptor have entered clinical trials for this purpose and many research groups have initiated programs to develop A2A receptor antagonists. Most A2A receptor antagonists belong to two different chemical classes, the xanthine derivatives and the amino-substituted heterocyclic compounds. In an attempt to discover high affinity A2A receptor antagonists and to further explore the structure-activity relationships (SARs) of A2A antagonism by the xanthine class of compounds, this study examines the A2A antagonistic properties of series of (E)-8-styrylxanthines, 8-(phenoxymethyl)xanthines and 8-(3-phenylpropyl)xanthines. The results document that among these series, the (E)-8-styrylxanthines have the highest binding affinities with the most potent homologue, (E)-1,3-diethyl-7-methyl-8-[(3-trifluoromethyl)styryl]xanthine, exhibiting a Ki value of 11.9 nM. This compound was also effective in reversing haloperidol-induced catalepsy in rats, providing evidence that it is in fact an A2A receptor antagonist. The importance of substitution at C8 with the styryl moiety was demonstrated by the finding that none of the 8-(phenoxymethyl)xanthines and 8-(3-phenylpropyl)xanthines exhibited high binding affinities for the A2A receptor.
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http://dx.doi.org/10.1016/j.bioorg.2013.06.006 | DOI Listing |
Am J Transl Res
December 2024
Department of Acupuncture and Tuina, Guizhou University of Traditional Chinese Medicine Guiyang 550025, Guizhou, China.
Therapeutic modalities for psychogenic erectile dysfunction (PED) are poorly targeted because of the lack of specific pathological features. The common symptoms of PED include psychological stress-related negative emotions and erectile dysfunction. Exploring their common therapeutic targets is helpful in the development of effective PED treatment strategies.
View Article and Find Full Text PDFBiomed Pharmacother
January 2025
College of Veterinary Medicine, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea. Electronic address:
Rett syndrome (RTT) is a neurological disorder caused by a mutation in the X-linked methyl-CpG binding protein 2 (MECP2), leading to cognitive and motor skill regression. Therapeutic strategies aimed at increasing brain-derived neurotrophic factor (BDNF) levels have been reported; however, BDNF treatment has limitations, including the inability to penetrate the blood-brain barrier, a short half-life, and potential for adverse effects when administered via intrathecal injection, necessitating novel therapeutic approaches. In this study, we focused on the adenosine A receptor (AR), which modulates BDNF and its downstream pathways, and investigated the therapeutic potential of CGS21680, an AR agonist, through in vitro and in vivo studies using R106W RTT model.
View Article and Find Full Text PDFChempluschem
January 2025
Kaiserslautern University of Technology: Rheinland-Pfalzische Technische Universitat Kaiserslautern-Landau, Chemistry, 67663, Kaiserslautern, GERMANY.
We report the synthesis of a series of detergents with a lactobionamide polar head group and a tail containing four to seven perfluorinated carbon atoms. Critical micellar concentrations (CMCs) were determined using isothermal titration calorimetry (ITC) and surface tension (SFT) measurements, showing a progressive decrease from 27 mM to about 0.2 mM across the series.
View Article and Find Full Text PDFClin 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.
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