Abstract
The active hallucinogen of magic mushrooms, psilocin, is being repurposed to treat nicotine addiction and treatment-resistant depression. Psilocin belongs to the tryptamine class of psychedelic compounds which include the hormone serotonin. It is believed that psilocin exerts its effect by binding to the serotonin 5-HT2A receptor. However, recent in-vivo evidence suggests that psilocin may employ a different mechanism to exert its effects. Membrane-mediated receptor desensitization of neurotransmitter receptors is one such mechanism. We compare the impact of the neutral and charged versions of psilocin and serotonin on the properties of zwitterionic and anionic lipid membranes using molecular dynamics simulations and calorimetry. Both compounds partition to the lipid interface and induce membrane thinning. The tertiary amine in psilocin, as opposed to the primary amine in serotonin, limits psilocin's impact on the membrane although more psilocin partitions into the membrane than serotonin. Calorimetry corroborates that both compounds induce a classical melting point depression like anesthetics do. Our results also lend support to a membrane-mediated receptor-binding mechanism for both psilocin and serotonin and provide physical insights into subtle chemical changes that can alter the membrane-binding of psychedelic compounds.
Originalsprog | Engelsk |
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Artikelnummer | 183957 |
Tidsskrift | Biochimica et Biophysica Acta - Biomembranes |
Vol/bind | 1864 |
Udgave nummer | 9 |
ISSN | 0005-2736 |
DOI | |
Status | Udgivet - 1. sep. 2022 |
Bibliografisk note
Funding Information:The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Himanshu khandelia reports financial support was provided by Lundbeck Foundation. Ali Asghar Hakami Zanjani reports financial support was provided by Novo Nordisk Foundation.
Funding Information:
We acknowledge PRACE for awarding us access to Marconi supercomputer at CINECA, Italy. HK is funded by a Lundbeckfonden Ascending Investigator grant number R344-2020-1023 . AAHZ is funded by a Novo Nordisk Foundation Synergy grant # NNF18OC0034936 . We thank Peter Reinholdt for help with force field optimization.
Funding Information:
We acknowledge PRACE for awarding us access to Marconi supercomputer at CINECA, Italy. HK is funded by a Lundbeckfonden Ascending Investigator grant number R344-2020-1023. AAHZ is funded by a Novo Nordisk Foundation Synergy grant # NNF18OC0034936. We thank Peter Reinholdt for help with force field optimization.
Publisher Copyright:
© 2022 The Authors