Knowledge-Based Design of Long-Chain Arylpiperazine Derivatives Targeting Multiple Serotonin Receptors as Potential Candidates for Treatment of Autism Spectrum Disorder

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Abstract

Autism spectrum disorder (ASD) includes a group of neurodevelopmental disorders characterized by core symptoms such as impaired social interaction and communication, repetitive and stereotyped behaviors, and restricted interests. To date, there are no effective treatments for these core symptoms. Several studies have shown that the brain serotonin (5-HT) neurotransmission system is altered in both ASD patients and animal models of the disease. Multiple pieces of evidence suggest that targeting 5-HT receptors may treat the core symptoms of ASD and associated intellectual disabilities. In fact, stimulation of the 5-HT1A receptor reduces repetitive and restricted behaviors; blockade of the 5-HT2A receptor reduces both learning deficits and repetitive behavior, and activation of the 5-HT7 receptor improves cognitive performances and reduces repetitive behavior. On such a basis, we have designed novel arylpiperazine derivatives pursuing unprecedently reported activity profiles: dual 5-HT7/5-HT1A receptor agonist properties and mixed 5-HT7 agonist/5-HT1A agonist/5-HT2A antagonist properties. Seventeen new compounds were synthesized and tested in radioligand binding assay at the target receptors. We have identified the dual 5-HT1AR/5-HT7R agonists 8c and 29 and the mixed 5-HT1AR agonist/5-HT7R agonist/5-HT2AR antagonist 20b. These compounds are metabolically stable in vitro and have suitable central nervous system druglike properties.

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Lacivita E, Niso M, Mastromarino M, Andrea, Silva A, Resch C, Zeug A, Loza MI, Castro M, Ponimaskin E, and Leopoldo M. knowledge-based design of long-chain arylpiperazine derivatives targeting multiple serotonin receptors as potential candidates for treatment of autism spectrum disorder. ACS Chem. Neurosci. 2021, 12, 1313−1327. https://doi.org/10.1021/acschemneuro.0c00647

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The present work was partially supported by Telethon Foundation Grant GGP13145 (M.L.) and by German Research Foundation (DFG) (grant number PO732 to E.P. and grant number ZE994/2 to A.Z.). A.G.S., M.I.L., and M.C. acknowledge support from the Spanish Ministry of Economy and Competitiveness (MINECO) (grant number SAF2014-57138- C2−1-R), Xunta de Galicia (Centro singular de investigación de Galicia accreditation 2019−2022, grant number ED431G 2019/02), and the European Union (European Regional Development Fund - ERDF). COST Action CA 18133 “European Research Network on Signal Transduction − ERNEST” is gratefully acknowledged. Funding for open access charge: COST Action CA18133 (ERNEST)

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