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Nature Communications logoLink to Nature Communications
. 2023 Dec 15;14:8221. doi: 10.1038/s41467-023-44016-1

Identification of 5-HT2A receptor signaling pathways associated with psychedelic potential

Jason Wallach 1,, Andrew B Cao 2, Maggie M Calkins 2, Andrew J Heim 3,9, Janelle K Lanham 2, Emma M Bonniwell 2, Joseph J Hennessey 2, Hailey A Bock 2, Emilie I Anderson 2, Alexander M Sherwood 4, Hamilton Morris 1, Robbin de Klein 5, Adam K Klein 6,10, Bruna Cuccurazzu 6, James Gamrat 1, Tilka Fannana 1, Randy Zauhar 3,11, Adam L Halberstadt 5,6,12,, John D McCorvy 2,7,8,
PMCID: PMC10724237  PMID: 38102107

Abstract

Serotonergic psychedelics possess considerable therapeutic potential. Although 5-HT2A receptor activation mediates psychedelic effects, prototypical psychedelics activate both 5-HT2A-Gq/11 and β-arrestin2 transducers, making their respective roles unclear. To elucidate this, we develop a series of 5-HT2A-selective ligands with varying Gq efficacies, including β-arrestin-biased ligands. We show that 5-HT2A-Gq but not 5-HT2A-β-arrestin2 recruitment efficacy predicts psychedelic potential, assessed using head-twitch response (HTR) magnitude in male mice. We further show that disrupting Gq-PLC signaling attenuates the HTR and a threshold level of Gq activation is required to induce psychedelic-like effects, consistent with the fact that certain 5-HT2A partial agonists (e.g., lisuride) are non-psychedelic. Understanding the role of 5-HT2A Gq-efficacy in psychedelic-like psychopharmacology permits rational development of non-psychedelic 5-HT2A agonists. We also demonstrate that β-arrestin-biased 5-HT2A receptor agonists block psychedelic effects and induce receptor downregulation and tachyphylaxis. Overall, 5-HT2A receptor Gq-signaling can be fine-tuned to generate ligands distinct from classical psychedelics.

Subject terms: Pharmacodynamics, Consciousness, Preclinical research, Receptor pharmacology, Schizophrenia


Serotonin 5-HT2A receptor signaling mechanisms associated with predicting psychedelic potential remain elusive. Using 5-HT2A-selective β-arrestin-biased ligands, here the authors show that a threshold level of 5-HT2A-Gq efficacy and not β-arrestin recruitment is associated with psychedelic potential.

Introduction

Classical (serotonergic) psychedelics have undergone a resurgence of interest for their potential to produce rapid and sustained therapeutic effects1,2. The therapeutic properties of psychedelics are being explored both preclinically and clinically, but studies have focused on a limited number of compounds3,4. Psychedelics may be limited by their hallucinogenic effects, which can cause confusion and anxiety in some patients, necessitating close clinical supervision. Recent preclinical work, however, suggests it may be possible to disentangle psychedelic from therapeutic properties5,6. Nevertheless, fundamental questions exist regarding which receptors and signaling pathways mediate effects of psychedelics, limiting the rational design of new drugs.

Serotonergic psychedelics are derived from multiple chemical scaffolds (e.g., tryptamines, phenethylamines, and lysergamides), all which activate the 5-HT2A receptor (5-HT2AR), a G protein-coupled receptor (GPCR). 5-HT2ARs appear to primarily mediate psychedelic experiences supported by evidence that the 5-HT2AR antagonist ketanserin attenuates subjective effects of psilocybin and LSD in humans7,8. Psychedelics have also been studied in preclinical behavioral models, including the head-twitch response (HTR), which is a 5-HT2AR-mediated involuntary head movement in mice that predicts human psychedelic activity9. Multiple receptors, however, appear to contribute to the behavioral effects of psychedelics, including psilocybin10 and LSD11, which adds to their complicated psychopharmacology.

Ligands targeting GPCRs stabilize certain receptor conformations that energetically favor coupling to transducer proteins12,13. Ligand-dependent bias has important implications for drug development and clinical pharmacology14,15. For example, the G protein-biased μ-opioid receptor (MOR) agonist oliceridine reportedly has a correspondingly improved tolerability profile16, although alternative explanations exist17. As existing psychedelics activate both Gq and β-arrestin2 via 5-HT2AR18,19, the role these pathways play in the effects of psychedelics is unclear. Although putative non-psychedelic 5-HT2AR agonists exist5,6, an adequate explanation for lack of psychedelic action does not exist. A clear and defined pharmacological signaling mechanism explaining why certain 5-HT2AR agonists lack psychedelic effects is thus needed.

Herein, we utilized structure-inspired design to develop 5-HT2AR-selective ligands acting as biased agonists and leveraged these to develop a mechanistic and molecular explanation of biased 5-HT2AR agonism. Furthermore, these compounds were used to probe the relationship between 5-HT2AR-Gq versus 5-HT2AR-β-arrestin activity and psychedelic potential in vivo. Our goal was to identify the 5-HT2AR transducers mediating psychedelic activity for the rational design of next-generation 5-HT2AR agonists.

Results

Psychedelics exhibit similar Gq and β-arrestin2 activity at 5-HT2AR

To investigate the 5-HT2AR signaling profiles of classical psychedelics, we used bioluminescence resonance energy transfer approaches (BRET, Fig. 1A, B, Supplementary Table 1), which provide a proximity measure of intracellular transducer engagement. BRET is used extensively to quantify GPCR-biased agonism and has the advantage of not being susceptible to second messenger amplification or receptor reserve issues obfuscating GPCR signaling preference determinations20. BRET has been used to measure 5-HT2AR-β-arrestin2 and 5-HT2AR-Gq activity directly11, and to confirm 5-HT2AR G protein coupling preferences18. In our assay platform, 5-HT2AR strongly couples to Gq/11 and β-arrestin2 over all other G protein subtypes and β-arrestin1 (Fig. 1C).

Fig. 1. Psychedelics exhibit similar Gq and β-arrestin2 activity at 5-HT2AR.

Fig. 1

Schematic of 5-HT2A receptor G protein dissociation (A) and β-arrestin recruitment (B) to determine transducer preferences. (C) Determination of 5-HT2A receptor G protein-wide and β-arrestin1/2 transducer preferences as estimated by magnitude net BRET for each transducer as stimulated by 5-HT. Data represent the mean and SEM from three independent experiments, which were performed at 37 °C with 60-minute compound incubations. D-K Comparison of 5-HT2A receptor Gq dissociation (red) and β-arrestin2 recruitment (blue) for 5-HT (D) and several classes of psychedelics: (E) Psilocin, (F) DMT, (G) 5-MeO-DMT, (H) 2C-I, (I) DOI, (J) 25I-NBOMe, K LSD. Data represent the mean and SEM from three independent experiments, which were performed at 37 °C with 60-minute compound incubations. L Heat map of Gq dissociation and β-arrestin2 recruitment kinetics displayed as log (EMAX/EC50) for the psychedelics tested. Data represent the mean and SEM from three independent experiments, which were performed at 37 °C at the indicated compound incubation time points. Source data are provided as a Source Data file.

Next, we tested classical psychedelics from multiple chemical classes and examined their effects on Gq dissociation and β-arrestin2 recruitment (Fig. 1D-K). Kinetic issues can confound studies of ligand-directed bias21, and slow ligand kinetics can delay full receptor occupancy, as observed for LSD at 5-HT2AR19. Therefore, we thoroughly assessed Gq and β-arrestin2 activities at various time points at 37 °C to ensure full receptor occupancy and confirm that transducer preferences do not substantially change when compared at the same time point. Our results show that psychedelics exhibit dynamic, time-dependent profiles of Gq and β-arrestin activity that in some cases exceed the activity of 5-HT (i.e., superagonism) at longer time points (e.g., 300 minutes, Supplementary Fig. 1A-H), which is not surprising given the dynamic temporal nature of GPCR signaling22. For all tested psychedelics, however, effects on Gq and β-arrestin activity were strikingly similar at equivalent time points and closely mirrored the pathway-balanced endogenous agonist 5-HT (Fig. 1L), indicating no strong preferences for one of the transducers. Psilocin, DMT and 2C-I showed slightly less β-arrestin2 efficacy compared to Gq activity, but the difference was not substantial when both transducers were compared at each respective time point (Supplementary Fig. 1B, C, E). Importantly, all tested psychedelics lacked a strong preference for Gq or β-arrestin2, demonstrating these compounds are not substantially biased for either transducer.

Rational design of a 5-HT2A-selective agonist template

To engineer a series of biased agonists for interrogating the 5-HT2AR-coupled signaling pathways associated with psychedelic potential, a scaffold exhibiting some degree of selectivity for 5-HT2AR over other 5-HT receptors is required. Most psychedelics are not selective for 5-HT2AR, exhibiting complex polypharmacology11. 5-HT2AR shares considerable homology with 5-HT2BR and 5-HT2CR, making it challenging to develop selective 5-HT2AR agonists. To date, few 5-HT2AR-selective agonists have been discovered, but the N-benzyl-phenethylamines 25CN-NBOH23 and DMBMPP24 are purported examples. Importantly, recently discovered “non-psychedelic” 5-HT2AR agonists show little selectivity for 5-HT2AR5,6, complicating attempts to interpret their psychopharmacology.

To develop selective 5-HT2AR biased ligands, we focused on the phenethylamine scaffold, which tends to have high selectivity for 5-HT2 subtypes. 25N or 2C-N (1) was selected as the core phenethylamine based on previous reports of potential 5-HT2AR biased agonism25,26. We confirmed 25N (1) is a high-affinity, potent 5-HT2 agonist with weak selectivity for 5-HT2AR and 5-HT2CR over 5-HT2BR (Fig. 2A, Supplementary Table 8). Because N-benzylation can increase affinity and potency of phenethylamines at 5-HT2AR27, we converted 25N (1) to 25N-NB (2) (see Supplementary Information), which reduced 5-HT2BR efficacy substantially (EMAX = 32% of 5-HT, Fig. 2A). Unfortunately, 25N-NB (2) retained potent 5-HT2CR activity (EC50 = 8.3 nM), resulting in a weakly (4-fold) 5-HT2AR-selective ligand.

Fig. 2. Rational design of a 5-HT2A-selective agonist template.

Fig. 2

A N-Benzylation of 25N (1) to 25N-NB (2) leads to reduced 5-HT2B receptor efficacy, as measured by Gq dissociation by BRET. Data represent the mean and SEM from three independent experiments performed at 37 °C with 60-minute compound incubation. B Role of N-benzyl ring electrostatics in 5-HT2A receptor potency leading to development of 25N-NB-2-OH-3-Me (18) using QSAR correlation between 5-HT2A receptor pKi and Hammett σ constant values (Pearson’s R = −0.8887, R2 = 0.7897, 2-tailed p < 0.0001, N = 15). C The relationship between steric bulk and 5-HT2A/2C receptor selectivity is shown for the halogen series, leading to the identification of the 5-HT2A receptor-selective agonist 25N-NBI (10) (left). Also shown is a 5-HT2A/2C receptor selectivity heatmap comparing the 25N halogen series to 25CN-NBOH (right). D Comparison of 5-HT2A receptor (green) 5-HT2B receptor (red) and 5-HT2C receptor (purple) Gq dissociation activities for 25N-NBI (10) (left) and 25CN-NBOH (right). Data represent mean and SEM from three independent experiments, which were performed at 37 °C with 60-minute compound incubation. E 5-HT2A receptor Gq dissociation and β-arrestin2 BRET concentration response curves for 25N-NBOH (3, top) and 25N-NB-2-OH-3-Me (18, bottom) showing addition of a 3-methyl group leads to reduced Gq-efficacy. Data represent mean and SEM from three independent experiments, which were performed at 37 °C with 60-minute compound incubation. F 25N-NBI (10) induced fit docking (IFD) with orthosteric site residue side chains displayed. The window shows a zoom-in view illustrating key ligand-residue interactions within the orthosteric site and illustrating the close proximity of the 2’- and 3’-positions to TM6 and TM7, which are known to influence ligand bias. G Summary of structure-activity relationships (SAR) for the 25N series encompassing key effects on electrostatics, 5-HT2A receptor selectivity, and reduced Gq EMAX. Source data are provided as a Source Data file.

To optimize 5-HT2AR affinity and selectivity, we synthesized a series of 25N-NB analogs designed to modify the electrostatic properties of the N-benzyl ring system (Supplementary Fig. 2, 12; Supplementary Table 2; Supplementary Data 1, 2, and 3). The increased 5-HT2AR affinity of N-benzyl-phenethylamines is thought to result in part from hydrogen bonding between the N-benzyl 2-position and residues in 5-HT2AR28, but we developed an alternate hypothesis that ring-electrostatics (i.e. the effect of increasing π-electron density in portions of the N-benzyl-ring, quantified as Hammett σ constants relative to C5’) drives 5-HT2AR affinity (Fig. 2B, Supplementary Fig. 3; Supplementary Table 3). Using the 25N series, we found that estimates of increasing electron density around the N-benzyl C5’ position (para to the 2’-position) increase 5-HT2AR binding affinity and agonist potency (Supplementary Fig. 3; Supplementary Tables 3-8). To confirm the importance of this ring-region, we tested the effect of adding a methoxy group to the C5’ position of 25N-NBOMe (4), which this analog 25N-NB-2,5-DiMeO (20) had reduced affinity 400-fold, suggesting steric clash and/or altered electronics disrupted the optimal electrostatic interaction (Supplementary Fig. 3J). The electrostatic-relationship was supported by correlations with additional potency estimates, experimental NMR chemical shifts, and in silico Hirshfeld surface analyses (Supplementary Fig. 3A-I, K-P, Supplementary Tables 4-6). This resulted in the discovery of several high-affinity 5-HT2AR agonists within the N-benzyl-phenethylamine class of psychedelics (Supplementary Tables 7, 8, 13).

We then examined the effect of N-benzyl 2-postion substitutions on 5-HT2AR selectivity in the 25N series. In the 2-halogen series, a larger/bulkier 2-bromo or 2-iodo atom on the N-benzyl ring reduced 5-HT2CR and 5-HT2BR activity substantially but retained potent 5-HT2AR activity, resulting in increased 5-HT2AR selectivity (Fig. 2C, Supplementary Fig. 4A). We compared 25N-NBI (10), the most selective 5-HT2AR agonist from this series, to the purported 5-HT2AR-selective agonist 25CN-NBOH29 and determined 25N-NBI (10) showed 23-fold selectivity for 5-HT2AR over 5-HT2CR, whereas 25CN-NBOH shows only 7-fold selectivity (Fig. 2D). We confirmed the superior 5-HT2AR selectivity of 25N-NBI (10) using an orthogonal assay measuring Gq-mediated calcium flux (Supplementary Fig. 4B; Supplementary Table 7), confirming in two functional assays that 25N-NBI (10) has greater 5-HT2AR selectivity than 25CN-NBOH. 25N-NBI (10) also showed selectivity for 5-HT2AR over 5-HT2BR and 5-HT2CR in competitive binding studies (Supplementary Table 8). Furthermore, when tested at >40 additional 5-HT receptors and off-targets, 25N-NBI (10) exhibited weak micromolar affinity for all targets screened (Supplementary Table 9). Competitive radioligand binding studies showed high selectivity for 5-HT2 subtypes across the series (Supplementary Tables 8-10). Finally, 25N-NBI (10) induced the HTR in mice (ED50 = 10.9 μmol/kg), confirming selective 5-HT2AR agonists possess psychedelic potential (Supplementary Fig. 4C).

Although a 2-iodo N-benzyl substitution yielded a 5-HT2AR-selective agonist with psychedelic potential, 25N-NBI (10) did not show a preference for either 5-HT2AR-Gq or 5-HT2AR-β-arrestin2 activity (Supplementary Fig. 4D). Therefore, we focused on another 25N analog, 25N-NB-2-OH-3-Me (18; Supplementary Fig. 2), which was rationally designed to maximize C5’ electron density (Supplementary Fig. 3A, Supplementary Tables 3, 4) and confirmed to have the highest 5-HT2AR affinity in the 25N series (Fig. 2B, E). 25N-NB-2-OH-3-Me (18) showed a selective reduction in 5-HT2AR Gq-efficacy but not 5-HT2AR-β-arrestin2 efficacy compared to 25N-NBOH (3) (Fig. 2E), which lacks 3-methyl substitution, providing a critical clue that steric effects in the 3-position influence 5-HT2AR biased-agonist activity.

To gain additional insights into the binding mode of the 25N series, we docked 25N-NBI (10), 25N-NB-2-OH-3-Me (18), and other analogs into the Gq-bound 5-HT2AR cryo-EM structure (6WHA)18 using induced fit docking (IFD) (Fig. 2F; Supplementary Fig. 5). Consistent with other studies18,27, the N-benzyl groups formed edge-to-face π-π stacking interactions with F3396.51 and F3406.52, known drivers of high 5-HT2AR affinity27,30 (Fig. 2D and Supplementary Table 20). We validated this docking pose and the 5-HT2AR model using a series of binding pocket mutants. Examination of mutants in transmembrane 6 (TM6), extracellular loop 2 (EL2), TM3, and TM7 indicate the binding poses are consistent with the 25CN-NBOH-bound cryo-EM structure. Specifically, mutants of key aromatic anchor residues, F3396.51L and F3406.52L, showed complete loss of 25N-NBI (10) Gq activity (Supplementary Fig. 4E), suggesting the N-benzyl moiety is positioned near TM6. In summary, we found that 5-HT2AR affinity, selectivity, and potentially biased agonism can be modulated in the 25N series, and that additional bulk in the 2- and 3-positions of the N-benzyl ring may drive 5-HT2AR selectivity and ligand bias, respectively (Fig. 2E-G).

Structure-based design of β-arrestin-biased 5-HT2A agonists

Based on the promising results obtained with the initial 25N series that led to increased 5-HT2AR selectivity, we explored whether it is possible to reduce Gq signaling further by replacing the N-benzyl ring with bulkier bi-aryl ring systems such as N-naphthyl (25N-N1-Nap (16)) and N-biphenyl (25N-NBPh (17)). Steric interactions within GPCR binding pockets are an important driver of agonist, antagonist, and biased-agonist conformational states, especially when they involve residues in the extended binding pocket encompassing TM6 and TM712,31. Strikingly, 25N-N1-Nap (16) and 25N-NBPh (17) showed a substantial reduction in 5-HT2AR Gq-efficacy yet preserved 5-HT2AR β-arrestin2-efficacy, thus exhibiting β-arrestin-biased agonism at 5-HT2AR compared to the balanced agonist 25N-NBOMe (4) (Fig. 3A; Supplementary Table 13). We further explored the SAR by synthesizing N-benzyl analogs containing other 2- and 3-substituents and this also results in β-arrestin bias (Supplementary Fig. 6A). Similar to our findings with 25N-NBI (10), the bulky analogs 25N-N1-Nap (16) and 25N-NBPh (17) showed weaker Gq activity at 5-HT2BR and 5-HT2CR, retaining degrees of 5-HT2AR selectivity (Supplementary Fig. 6B; Supplementary Tables 13 and 14). Binding assays confirmed these compounds exhibit weak affinities for other 5-HT receptors and off-targets (Supplementary Table 8-10). To test whether the β-arrestin bias was specific for 5-HT2AR, we measured β-arrestin2 activity at 5-HT2BR and 5-HT2CR and found substantially weaker β-arrestin2 recruitment at these subtypes (Supplementary Fig. 6C), confirming a lack of biased agonism at these receptors. Furthermore, weak activity by β-arrestin biased analogs was confirmed in 5-HT2A-G11 dissociation, 5-HT2A/2B/2C-Gq/11-mediated calcium flux assays, and at all human 5-HT GPCRs as measured by G protein dissociation (Supplementary Fig. 6D–F). Interestingly, the β-arrestin-biased agonists showed partial antagonism of 5-HT2A-Gq activity, similarly found with the non-psychedelic 2-Br-LSD11, and also showed baseline inhibition in 5-HT2AR Gq/11-mediated calcium flux traces at longer time points, suggestive of potential β-arrestin2-mediated desensitization in this cell system (Supplementary Fig. 6E, G). We also confirmed and validated β-arrestin2 bias using our previously established kinetic BRET assay, which consistently showed robust β-arrestin2 and weak Gq activities for 25N-N1-Nap (16) and 25N-NBPh (17) at all time points tested (Supplementary Fig. 6H).

Fig. 3. Structure-based design of β-arrestin-biased 5-HT2A agonists.

Fig. 3

A Effect of the larger N-substituted 25N analogs 25N-N1-Nap (16) and 25N-NBPh (17) on 5-HT2A receptor Gq dissociation (red) and β-arrestin2 (blue) recruitment. Data represent the mean and SEM from three independent experiments performed at 37 °C with 60-minute compound incubation. B Outward pivot of TM6 for 25CN-NBOH and 25N-N1-Nap (16) MD simulations relative to the inactive 5-HT2A receptor structure with final frame shown as representative. Note the intermediate TM6 tilt angle with 25N-N1-Nap (16) relative to that of 25CN-NBOH. C Change in W3666.48 toggle switch χ2 angle. χ2 angle given is the absolute difference in peak angle relative to the inactive state. Final frame shown as representative. D Distribution and time dependence W3666.48 χ2 angle of 25CN-NBOH (yellow) and 25N-N1-Nap (16) (orange) simulations. E Effect of 5-HT2A receptor W3366.48Y mutation on 25N-NBOMe (4), 25N-NBPh (17), and 25N-N1-Nap (16) Gq dissociation (red) versus β-arrestin2 (blue) recruitment activities. Data represent the mean and SEM from three independent experiments performed at 37 °C with 60-minute compound incubation. Source data are provided as a Source Data file.

Encouraged by this validation, we examined the binding mode of 25N-N1-Nap (16) at the Gq-bound cryo-EM 5-HT2AR structure (6WHA) using IFD (Supplementary Fig. 5). Binding poses using RMSD as a metric were clustered to reveal key interactions with the conserved salt bridge to Asp1553.32 placing 25N-N1-Nap (16) in a similar pose as the 25CN-NBOH structure (Supplementary Table 20; Supplementary Fig. 5). Importantly, in flexible docking, the N-naphthyl ring of 25N-N1-Nap (16) is wedged near W3366.48, a highly conserved residue in class A GPCRs (Supplementary Fig. 5). W3366.48, sometimes called the “toggle switch”, is implicated in GPCR activation and biased agonism, with distinct W6.48 rotamer conformations occurring in activated and non-activated GPCR structures3235, including the 25CN-NBOH cryo-EM structure18. Given the close proximity and added steric bulk observed in this region with biased agonists like 25N-N1-Nap (16), and based on the electrostatic SAR, we hypothesized the weak Gq activity and β-arrestin bias are dependent, in part, on interactions with W3366.48.

GPCR crystal and cryo-EM structures only show a “snapshot” of activation and are highly dependent on their ternary complex composition and intracellular binding partners. Therefore, we performed molecular dynamics (MD) to investigate interactions between 25N-N1-Nap (16) and 5-HT2AR, focusing especially on residue W3366.48, and compared the results to simulations performed with 25CN-NBOH in the cryo-EM structure (Supplementary Data 4-7). Simulations of 250 ns were carried out for each ligand, following a common protocol for system preparation and equilibration. In addition, twelve replicate trajectories were computed for each ligand, initiated from the same starting structures, but with independent assignments of initial random atomic velocities, allowing for expanded sampling of configurations and independent validation of our analyses.

Comparison of the two primary trajectories reveals that the 25N-N1-Nap simulation has features intermediate between the inactive (6WH4) and active (25CN-NBOH) conformations (Fig. 3B, C). For example, in the final frame of the simulation, the outward swing of TM6, with 25N-N1-Nap (16), relative to the inactive state (6WH4) is less than that of 25CN-NBOH (7.30° vs. 15.49°) (Fig. 3D). A clear difference in the W3366.48 χ2 angle frequency was observed between the 25CN-NBOH and 25N-N1-Nap simulations, where 25N-N1-Nap (16) showed a preference for W3366.48 χ2 angle down (centered at −15.6°), and 25CN-NBOH showed a preference for W3366.48 χ2 angle up (66.2°) in the active rotamer conformation (Fig. 3E), similar to the active state cryo-EM structure (6WHA)18. The states observed in our primary simulations were reproduced in the replica simulations, with closely similar sidechain angles. Averaging over all replicates, a W3366.48 χ2 peak is found at 65.2° for 25CN-NBOH, while for 25N-N1-Nap (16), a W3366.48 χ2 peak is found at −21.2°. Interestingly, in the 25N-N1-Nap simulation, W3366.48 initially toggles further downward into the pocket and mostly remains in this orientation throughout the simulation, likely to accommodate the larger N-naphthyl ring in 25N-N1-Nap (16), and is distinct from the W3366.48 χ2 angles in active (6WHA) and inactive-state 5-HT2AR structures (Fig. 3C, E; e.g., PDB structures 6WGT, 6A94, 6A93, 6WH4; compare Supplementary Tables 21 and 22).

To verify the role of W3366.48 in 5-HT2AR biased agonism, we constructed conservative mutations, W3366.48Y and W3366.48L, designed to increase space and accommodate the larger substituents in 25N β-arrestin-biased ligands. Although the W3366.48L mutant exhibited reduced Gq dissociation and impaired β-arrestin recruitment (Supplementary Fig. 6I) preventing further experimental use, the W3366.48Y mutant showed robust Gq and β-arrestin recruitment and was used in subsequent experiments (Supplementary Fig. 6I). When 25N-N1-Nap (16) and 25N-NBPh (17) were tested at the W3366.48 Y mutant, the Gq-efficacy recovered substantially, resulting in balanced agonist activity similar to 25N-NBOMe (4) (Fig. 3F). The recovery of Gq activity likely results from the increased space created by a smaller size Tyr residue at position 6.48, allowing the “toggle switch” to move dynamically to initiate Gq-bound activation states. The mutagenesis data support the hypothesis that the W3666.48 toggle switch plays an important role in the biased agonism of 25N-N1-Nap (16) and 25N-NBPh (17), with steric bulk on the N-benzyl ring forcing W3366.48 into a unique rotamer conformation, making it less likely that Gq-bound conformations will arise while preserving β-arrestin-preferring conformational states.

β-Arrestin-biased 5-HT2A agonists lack psychedelic potential

The HTR is commonly used as a behavioral proxy for psychedelic effects because non-psychedelic 5-HT2AR agonists do not induce head twitches36, and because there is a robust correlation between HTR activity in mice and potency to induce psychedelic effects in humans and discriminative stimulus effects in rats9. To assess psychedelic potential for the 25N series, seventeen compounds were tested in the HTR assay based on their diverse range of Gq and β-arrestin efficacies. Male mice were used to maintain consistency with the validation experiments supporting use of the HTR as a cross-species readout of psychedelic potential and to leverage the large dataset of HTR dose-response data previously generated9,36. Eleven of the compounds increased HTR counts significantly over baseline levels (Supplementary Tables 15 and 16). Not surprisingly, 25N-NBOMe (4), which acts as a psychedelic in humans37, produced a potent HTR response consistent with this effect (Fig. 4A). By contrast, the β-arrestin2-biased compounds 25N-N1-Nap (16), 25N-NBPh (17) and 25N-NB-2-OH-3-Me (18) failed to induce the HTR (Fig. 4B-D; Supplementary Tables 15, 16), suggesting Gq-efficacy is necessary for psychedelic potential. To confirm the β-arrestin2-biased agonists can partition into the brain and engage central 5-HT2AR necessary for the HTR, we pretreated mice with those compounds, which subsequently blocked the HTR induced by psychedelic 5-HT2AR agonist DOI (Fig. 4E-H). 25N-NBPh (17) had lower potency than 25N-N1-Nap (16) in the blockade experiments, which we believe is due to pharmacokinetic differences limiting its CNS distribution, potentially reflecting its higher cLogP (4.8 vs. 4.5, respectively), thus we focused on 25N-N1-Nap (16) in subsequent experiments. As expected, 25N-N1-Nap (16) and 25N-NBPh (17) antagonized 5-HT2AR-Gq signaling in vitro with potency similar to the 5-HT2AR-selective antagonist M100907 (Fig. 4I). Given the potential for species differences, which is evident for rodent versus human 5-HT2AR38,39, we verified that β-arrestin bias exhibited by 25N-N1-Nap (16) and 25N-NBPh (17) is preserved at mouse 5-HT2AR (Supplementary Fig. 9A).

Fig. 4. β-Arrestin-biased 5-HT2A agonists lack psychedelic potential.

Fig. 4

A 25N-NBOMe (4) induces the head-twitch response (HTR) (W5,19.46 = 84.56, p < 0.0001). B 25N-N1-Nap (16) does not induce the HTR (F5,26 = 1.39, p = 0.2618). C 25N-NBPh (17) does not induce the HTR (F4,18 = 0.89, p = 0.4903). D 25N-NB-2-OH-3-Me (18) does not induce the HTR (F2,25 = 0.55, p = 0.7377). E Illustration showing the procedures used to confirm that compounds tested in panels F–H are brain penetrant and capable of engaging 5-HT2A receptors in the CNS of mice. Mice were pretreated with vehicle or drug, ( ± )-DOI (1 mg/kg IP) was injected 10 minutes later, and then HTR activity was assessed for 20 minutes. F Pretreatment with 25N-N1-Nap (16) blocks the HTR induced by (±)-DOI (F3,16 = 68.43, p < 0.0001). G Pretreatment with 25N-NBPh (17) blocks the HTR induced by (±)-DOI (W3,14.64 = 144.6, p < 0.0001). H Pretreatment with 25N-NB-2-OH-3-Me (18) blocks the HTR induced by (±)-DOI (F3,16 = 18.39, p < 0.0001). P values are provided if there were significant differences between groups (Tukey’s test or Dunnett’s T3 test). HTR counts from individual male C57BL/6 J mice as well as group means are shown. Drug doses are presented as mg/kg. I 5-HT2A receptor Gq-mediated calcium flux activity comparing 5-HT (open circles) antagonist activity for 25N-N1-Nap (16) (red), 25N-NB-2-OH-3-Me (18) to M100,907 (black circles). Data represent the mean and SEM from three independent experiments. Source data are provided as a Source Data file.

To confirm β-arrestin-biased 5-HT2AR agonists do not induce the HTR and that this profile is not specific to the 25N series, we synthesized and tested N-naphthyl and N-biphenyl derivatives of other phenethylamine 5-HT2AR agonists (Supplementary Fig. 13, 14). Similar to previous β-arrestin-biased compounds, these compounds exhibited weak Gq-efficacy but produced robust β-arrestin2 recruitment efficacy (Supplementary Fig. 9B; Supplementary Table 13-16). When evaluated in mice, 25O-N1-Nap (28) and 2C2-N1-Nap (29) failed to induce head twitches (Supplementary Fig. 9C) but fully blocked the HTR induced by DOI (Supplementary Fig. 9D), indicating brain penetration. In summary, five different β-arrestin2-biased 5-HT2AR agonists did not induce the HTR when tested at doses that block the response to a balanced agonist, confirming this strategy can consistently generate β-arrestin2-biased 5-HT2AR agonists devoid of psychedelic potential.

5-HT2A-Gq signaling predicts psychedelic potential

Although the 5-HT2AR signaling pathways associated with psychedelic potential have been previously investigated, the results were inconclusive4042. To assess further the involvement of 5-HT2AR Gq and β-arrestin2 activity in the HTR, correlation analyses were performed using the 25N series, which contains a mixture of HTR-active and inactive compounds. For the 25N compounds with Gq and β-arrestin2 data (n = 14), there was the robust correlation between HTR magnitude (the maximum number of HTR induced by each drug in counts/minute) and 5-HT2AR Gq-efficacy (%5-HT EMAX; RS = 0.8242, p = 0.0005; Fig. 5A). By contrast, HTR magnitude was not correlated with β-arrestin2 recruitment (RS = −0.01538, p = 0.9638; Fig. 5B). Notably, the relationship between 5-HT2AR Gq-efficacy and HTR magnitude was nonlinear and none of the 25N derivatives with Gq EMAX values <70% induced the HTR, potentially indicating that 5-HT2AR efficacy must exceed a strong Gq-efficacy threshold level in order to induce the behavior. Similar to Gq dissociation data, the magnitude of the HTR induced by 25N derivatives is correlated with their 5-HT2AR Gq/11-mediated calcium flux response (RS = 0.8175, p = 0.0002; Supplementary Fig. 10A) and only the compounds with Gq-mediated calcium flux efficacy exceeding 70% 5-HT EMAX induced head twitches, providing further evidence that 5-HT2AR Gq-efficacy is necessary for psychedelic potential.

Fig. 5. Psychedelic potential is correlated with 5-HT2A-Gq signaling.

Fig. 5

A Scatter plot showing the relationship between 5-HT2A receptor Gq-efficacy (EMAX values) and head-twitch response (HTR) magnitude (maximum counts per minute induced by the compound) for 14 members of the 25N series. Spearman’s rank correlation coefficient Rs is shown. The regression line generated by fitting the data using non-linear regression is included as a visual aid. B Scatter plot showing the relationship between 5-HT2A receptor β-arrestin2 recruitment efficacy (EMAX values) and HTR magnitude for 14 members of the 25N series. C Scatter plot showing the relationship between 5-HT2A receptor Gq-efficacy (EMAX values) and HTR magnitude for 24 phenethylamine psychedelics. To illustrate the non-linear nature of the relationship, the regression line generated by fitting the data using non-linear regression is shown. D Scatter plot showing the relationship between 5-HT2A receptor β-arrestin2 recruitment efficacy (EMAX values) and HTR magnitude for 24 phenethylamine psychedelics. Source data are provided as a Source Data file.

We also tested whether a similar relationship exists for drug potencies (ED50) in HTR experiments. Although the in vivo potencies of psychedelic drugs are known to be correlated with their in vitro potencies at 5-HT2AR4345, it is not clear whether a similar relationship exists for the HTR. Establishing a potency relationship would further support HTR construct validity for predicting human psychedelic action via 5-HT2AR. Notably, we observed robust and highly significant correlations between potencies in the HTR assay and in vitro 5-HT2AR potency measures, including binding affinities (Ki) measured using [3H]-ketanserin, and functional potencies (EC50) for activating Gq and β-arrestin2 via 5-HT2AR (Supplementary Fig. 10B-F). Similar correlation results were obtained for 5-HT2AR Gq and β-arrestin2 pathways, which is not surprising because the rank-order potencies of 5-HT2AR agonists for Gq and β-arrestin2 are similar, whereas agonist efficacies often diverge across those two pathways. Overall, these results are consistent with the known role of 5-HT2AR in the HTR and show a good correlation between in vitro and in vivo potency measures, but they do not link the HTR to a particular transducer pathway because they fail to account for 5-HT2AR efficacy at each respective transducer.

Encouraged by results obtained with the 25N series, we examined whether the magnitude of the HTR produced by other psychedelics is correlated with their 5-HT2AR Gq-efficacy. To test this hypothesis, we compared 5-HT2AR efficacies and HTR magnitude for 24 phenethylamine psychedelics (Supplementary Fig. 11; Supplementary Tables 11, 12 and 17, 18), which tend to have greater 5-HT2 selectivity compared to other scaffolds10. Our results show a significant positive relationship between HTR magnitude and 5-HT2AR Gq-efficacy (RS = 0.7339, p < 0.0001; Fig. 5C). Conversely, there is not a significant correlation between HTR magnitude and 5-HT2AR β-arrestin2-efficacy (RS = 0.34, p = 0.104; Fig. 5D). Consistent with the 25N series data, all of the tested psychedelics activated Gq with relatively high efficacy and the trendline between HTR magnitude and Gq-efficacy indicates a minimum of 70% 5-HT2AR Gq-efficacy (%5-HT EMAX). In summary, our results indicate there is a threshold level of 5-HT2AR Gq-efficacy required for psychedelic-like activity.

To test the hypothesis that HTR activity and psychedelic potential can be predicted based on the existence of a 5-HT2AR Gq-efficacy threshold, we synthesized N-benzyl derivatives of other phenethylamines and made predictions about their HTR activity based on their 5-HT2AR Gq-efficacy (Fig. 6A-G). We synthesized and tested 2C2-NBOMe (31) (EMAX = 98.4%), 25O-NBOMe (32) (EMAX = 99.9%), and 25O-NBcP (33) (EMAX = 96.3%), which are highly efficacious 5-HT2AR-Gq agonists (Supplementary Fig. 10G-I) and would be predicted to induce the HTR. By contrast, 25D-N1-Nap (26) (EMAX = 34.3%), 25O-NB-3-I (34) (EMAX = 51.7%), and 25O-NBPh-10’-OH (35) (EMAX = 60.8%) have efficacy <70% (Supplementary Fig. 10J-L) and were predicted to be inactive in HTR. Indeed, robust HTR responses were measured for 2C2-NBOMe (31), 25O-NBOMe (32), and 25O-NBcP (33), but not for weaker Gq agonists, 25D-N1-Nap (26), 25O-NB-3-I (34), and 25O-NBPh-10’-OH (35) (Fig. 6B-G; Supplementary Table 19). These results show that the ability of 5-HT2AR agonists to induce head twitches can be predicted based on their 5-HT2AR Gq-efficacy.

Fig. 6. 5-HT2A-Gq signaling predicts psychedelic potential.

Fig. 6

AG Activity in the HTR assay can be predicted based on 5-HT2A receptor Gq-efficacy. As predicted, 25O-NBOMe (32) (F5,26 = 37.01, p < 0.0001), 2C2-NBOMe (31) (W6,12.67 = 96.28, p < 0.0001), and 25O-NBcP (33) (F5,25 = 20.57, p < 0.0001) induced head twitches, whereas 25O-NBPh-10’-OH (35) (F4,27 = 2.58, p = 0.0601), 25O-NB-3-I (34) (F5,25 = 0.26, p = 0.9288), and 25D-N1-Nap (26) (F3,20 = 0.37, p = 0.7748) did not induce head twitches. (H) Pretreatment with the Gαq/11 inhibitor YM-254890 blocks the HTR induced by R-(-)-DOI (F3,12 = 8.69, p = 0.0025). Mice were treated ICV with YM-254890 or vehicle and then all of the animals received R-(-)-DOI (1 mg/kg IP) 15 minutes later. (I) Pretreatment with the phospholipase C (PLC) inhibitor edelfosine blocks the HTR induced by R-(-)-DOI (F2,16 = 11.34, p = 0.0009) and 25N-NBOMe (4) (F2,16 = 6.40, p = 0.0091). Mice received three consecutive injections of vehicle or the indicated dose of edelfosine at 20-minute intervals and then a HTR-inducing drug was administered 10 minutes after the third injection. HTR counts from individual male C57BL/6 J mice as well as group means are shown. P values are provided if there were significant differences vs. vehicle control (Tukey’s test or Dunnett’s T3 test). The dose of YM-254890 is presented in µg; other drug doses are presented as mg/kg. Source data are provided as a Source Data file.

To directly test the involvement of 5-HT2AR-Gq signaling in the HTR, we evaluated whether inhibition of Gq signaling can block the HTR. Because the use of signaling inhibitors can potentially be confounded by off-target effects, we targeted two different proteins within the Gq-PLC effector pathway to generate convergent evidence. YM-254890 selectively inhibits Gq/1146 and is effective in mice when administered systemically or centrally47. Intracranial (ICV) pretreatment with YM-254890 blocked the HTR induced by DOI (Fig. 6H). We also tested the phosphoinositide-selective PLC inhibitor edelfosine48, which is brain penetrant in mice, with a brain/plasma ratio of ~0.5 after systemic administration49. Edelfosine blocked the HTR induced by 25N-NBOMe (4) and DOI (Fig. 6I). These results strongly support the conclusion that the HTR induced by psychedelics is dependent on activation of the 5-HT2AR-Gq-PLC pathway. This dependence on 5-HT2A-Gq signaling is supported by the lack of a HTR with 25N-N1-Nap (16) and other β-arrestin2-biased 5-HT2AR agonists, and it does not appear that 5-HT2AR β-arrestin2 recruitment is sufficient to induce head twitches. Although YM-254890 inhibited the response to DOI to a greater degree than Gq gene deletion42, the ability of both manipulations to dampen the response to DOI strongly supports our conclusions that 5-HT2AR-Gq signaling is necessary for the HTR and therefore psychedelic potential.

Non-psychedelics do not achieve 5-HT2A Gq-signaling efficacy threshold

The existence of a Gq-efficacy threshold for activity is intriguing because it potentially explains why certain 5-HT2AR agonists such as lisuride fail to induce head twitches in mice and psychedelic effects in humans. To evaluate that possibility, we compared the activity of four psychedelic and four non-psychedelic 5-HT2AR agonists in BRET assays and HTR experiments. Clinical studies have confirmed that lisuride5053, 2-Br-LSD5456, and 6-F-DET57 lack psychedelic effects in humans; 6-MeO-DMT has not been evaluated clinically but does not substitute in rats trained to discriminate a psychedelic drug58. The psychedelic 5-HT2AR agonists LSD, psilocin, 5-MeO-DMT, and DET activate 5-HT2AR-Gq signaling with EMAX ranging from 74.1–98.8% (Fig. 7A) and induce the HTR (Fig. 7B). Conversely, the non-psychedelic 5-HT2AR agonists lisuride, 2-Br-LSD, 6-F-DET, and 6-MeO-DMT activate 5-HT2AR-Gq signaling with EMAX < 70% (Fig. 7A) and do not induce head twitches (Fig. 7B). For the eight compounds, there was a significant positive correlation (R = 0.8948, p = 0.0027) between HTR magnitude and 5-HT2AR-Gq EMAX (Fig. 7C). These results are consistent with the predicted activity threshold and demonstrate that the relationship between HTR magnitude and 5-HT2AR Gq-efficacy extends to tryptamines and lysergamides. In summary, lisuride, 2-Br-LSD, 6-F-DET, and 6-MeO-DMT are likely non-psychedelic because of weak 5-HT2AR Gq-efficacy.

Fig. 7. Non-psychedelics do not achieve 5-HT2A Gq-signaling efficacy threshold.

Fig. 7

A Effect of (+)-lysergic acid diethylamide (LSD), psilocin, 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT), N,N-diethyltryptamine (DET), lisuride, ( + )−2-bromolysergic acid diethylamide (2-Br-LSD), 6-methoxy-N,N-dimethyltryptamine (6-MeO-DMT), and 6-fluoro-N,N-diethyltryptamine (6-F-DET) on 5-HT2A receptor Gq dissociation (red) and β-arrestin2 (blue) recruitment. The BRET data for LSD, psilocin, and 5-MeO-DMT are from Fig. 1; the data for 2-Br-LSD were published previously11. Data represent the mean and SEM from three independent experiments. B Effect of LSD, psilocin, 5-MeO-DMT (F4,26 = 3.09, p = 0.0331), DET, lisuride, 2-Br-LSD, 6-MeO-DMT (F5,26 = 4.19, p = 0.0063), and 6-F-DET (F4,23 = 13.49, p < 0.0001) on the head-twitch response (HTR) in mice. The HTR data for LSD, DET, psilocin, lisuride, and 2-Br-LSD were re-analyzed from published experiments9,11,78,85. HTR counts from individual male C57BL/6 J mice as well as group means are shown. P-values are provided if there were significant differences between groups (Tukey’s test). C Scatter plot and linear regression showing the correlation between 5-HT2A receptor Gq-efficacy (EMAX values) and HTR magnitude (maximum counts per minute induced by each drug). Pearson’s correlation coefficient R is shown. The p-value is 2-tailed. Drug doses are presented as mg/kg. Source data are provided as a Source Data file.

In vitro and in vivo effects of β-arrestin-biased 5-HT2A agonists

An intriguing question raised by our results is how β-arrestin-biased 5-HT2AR agonists differ from 5-HT2AR antagonists. One hallmark of β-arrestin-biased agonists is the induction of arrestin-dependent internalization and downregulation, which contributes to drug tolerance59. To determine whether 25N-N1-Nap (16) and 25N-NBPh (17) induce β-arrestin2-dependent receptor internalization, which would further support their β-arrestin-biased agonist profile, we conducted NanoBit internalization assays60,61 that utilize a minimally tagged N-terminal HiBiT-tagged 5-HT2AR and a membrane impermeable LgBit Nanoluc complementation fragment to measure surface expression loss (Fig. 8A). In experiments where untagged β-arrestin2 was co-expressed (similar conditions to β-arrestin2 BRET assays), 5-HT and DOI induced a strong internalization after 60 minutes. 25N-N1-Nap (16) and 25N-NBPh (17) also induced robust internalization, similar to their potencies in β-arrestin2 recruitment assays (Fig. 8B). By contrast, the 5-HT2AR antagonist/inverse agonist pimavanserin (PIM) did not induce internalization, suggesting that β-arrestin-biased 5-HT2AR agonists are distinct from pimavanserin in their ability to downregulate 5-HT2AR. Previous work in whole cell and in vivo systems revealed that some 5-HT2AR antagonists cause atypical 5-HT2AR internalization62,63, but other 5-HT2AR antagonists such as eplivanserin (SR-46349B) upregulate 5-HT2AR in mice64. Thus, how these 5-HT2AR ligands affect in vivo receptor expression may be influenced by several factors and requires further study.

Fig. 8. In vitro and in vivo effects of β-arrestin-biased 5-HT2A agonists.

Fig. 8

A Scheme of NanoBit Internalization Assay for 5-HT2AR measuring loss of surface expression with the membrane impermeable LgBit. B 5-HT2AR internalization concentration response calculated as percent basal surface expression and normalized to 0% of max 5-HT response. Data represent mean and SEM from 3 independent experiments with 5-HT (black), DOI (blue), pimavanserin (grey), 25N-NBOMe (4) (green), 25N-N1-Nap (16) (red) and 25N-NBPh (17) (purple). C Cartoon showing the procedures used to induce tolerance in the head-twitch response (HTR) assay. Mice were injected with vehicle or drug once daily for 5 consecutive days and then challenged with (±)-DOI (1 mg/kg IP) 24 hours after the last injection. D Repeated administration of (±)-DOI and 25N-N1-Nap (16) (F2,16 = 16.68, p = 0.0001), but not pimavanserin (t10 = 1.067, 2-tailed p = 0.3111), induces a tolerance to the HTR induced by DOI. Mice was treated with vehicle, 25N-N1-Nap (16) (20 mg/kg/day SC), or (±)-DOI (10 mg/kg/day SC). Additional mice were treated with vehicle or pimavanserin (1 mg/kg/day SC). HTR counts are expressed as a percentage of the response in the respective control group; data from individual male C57BL/6 J mice as well as group means are shown. P-values are provided if there were significant differences between groups (Tukey’s test). E Pimavanserin blocks the response to (±)-DOI injected 20-minutes later (F3,16 = 8.19, p = 0.0016). HTR counts from individual mice as well as group means are shown. P values are provided if there were significant differences between groups (Tukey’s test). F 25N-N1-Nap (16) attenuates phencyclidine (PCP)-induced hyperactivity (pretreatment × PCP: F1,20 = 7.09, p = 0.015; pretreatment × PCP × time: F2,40 = 11.03, p = 0.0002). Locomotor activity was measured as distance traveled (cm), presented as group means ± SEM. N = 6 male C57BL/6 J mice/group. *p < 0.05, significant difference vs. vehicle; #p < 0.05, significant difference vs. PCP alone (Tukey’s test). G M100907 attenuates PCP-induced hyperactivity (pretreatment × PCP: F1,20 = 7.41, p = 0.0131). N = 6 male C57BL/6 J mice/group. *p < 0.05, significant difference vs. vehicle; #p < 0.05, significant difference vs. PCP alone (Tukey’s test). Drug doses are presented as mg/kg. Source data are provided as a Source Data file.

5-HT2AR agonists are known to cause receptor downregulation and tolerance or tachyphylaxis65. We tested whether β-arrestin2-biased 5-HT2AR agonists induce tolerance in vivo, based on the rationale that tolerance could potentially act as an in vivo readout of β-arrestin2 recruitment. Our hypothesis was that repeated treatment with 25N-N1-Nap (16) would induce tolerance similar to the balanced 5-HT2AR agonist DOI. Results were normalized to the vehicle control group to facilitate comparison of the amount of tachyphylaxis induced by the three 5-HT2AR ligands. Once daily administration of 25N-N1-Nap (16) or DOI to mice for five consecutive days reduced the ability of a challenge dose of DOI administered 24 h later to induce the HTR (Fig. 8C, D). Conversely, the response to DOI was not altered in mice treated repeatedly with a dose of the 5-HT2AR antagonist PIM that is capable of blocking the acute behavioral response to DOI (Fig. 8E). Hence, repeated administration of 25N-N1-Nap (16), DOI, and PIM produced effects in mice that closely parallel the in vitro internalization data. Based on these results, β-arrestin2 may play a role in the tachyphylaxis that occurs after repeated administration of 5-HT2AR agonists.

Finally, to assess whether β-arrestin-biased 5-HT2AR agonists may have similar therapeutic potential as 5-HT2AR antagonists/inverse agonists, we tested whether 25N-N1-Nap (16) can antagonize PCP-induced hyperactivity in mice. 5-HT2AR antagonists are highly effective at blocking the hyperlocomotion induced by NMDA receptor antagonists such as PCP and MK-80117,66. 25N-N1-Nap (16) blocked the hyperactivity induced by PCP in mice when tested at a dose that had no effect on baseline activity (Fig. 8F). We confirmed that the 5-HT2A-selective antagonist M100907 has a similar effect on reducing PCP-induced hyperactivity in mice (Fig. 8G) consistent with an antipsychotic-like profile.

Discussion

Our ultimate aim was to elucidate which 5-HT2AR transducer is responsible for psychedelic activity. Here we show that rational and structure-based design can be leveraged to develop 5-HT2AR-selective compounds with a wide-range of functional activities, including β-arrestin2-biased agonists. Docking, MD, and mutagenesis revealed that W3366.48 plays a key role in the mechanism of β-arrestin2-biased agonists. Finally, β-arrestin2-biased 5-HT2AR agonists were used to probe the involvement of this transducer toward the psychedelic potential of 5-HT2AR agonists. The ability of 5-HT2AR agonists to induce the HTR was found to be correlated with Gq-efficacy but not β-arrestin2 recruitment. 5-HT2AR β-arrestin2-biased agonists did not induce psychedelic-like behavioral effects, but blocked psychedelic-like behaviors in vivo. Overall, we identified multiple structural and chemical features of psychedelics that can be targeted to fine-tune 5-HT2AR activity, potentially modulating therapeutic efficacy and tolerability of 5-HT2AR ligands for various therapeutic indications including psychosis.

Although the specific 5-HT2A transducers mediating the HTR have not been conclusively identified, Gq/11 and β-arrestin2 are clear candidates. Previous studies in constitutive knockout (KO) mice have attempted to address the role of Gq and β-arrestin2 in the HTR but did not yield conclusive results. Gq deletion attenuated but did not eliminate the HTR induced by DOI42, potentially because other Gq protein subtypes such as G11 may be involved. HTR studies in β-arrestin2 KO mice have variously reported that the response to DOI is unaltered41,67, response to 5-MeO-DMT is enhanced68, or response to LSD is attenuated40. Although the reason for these discrepancies is unknown, it could reflect altered membrane receptor trafficking in β-arrestin2 KO mice, leading to constitutive receptor desensitization and other adaptations. Given the lack of an effect of 25N-N1-Nap (16) and other β-arrestin2-biased 5-HT2AR agonists in the HTR paradigm, 5-HT2AR β-arrestin2 recruitment does not appear to be sufficient to induce head twitches. Although β-arrestin2 may not be involved in the HTR, our findings do implicate β-arrestin2 in the tachyphylaxis that occurs after repeated administration of 5-HT2AR agonists. Mice treated repeatedly with psychedelic drugs develop tolerance and cross-tolerance, potentially reflecting 5-HT2AR downregulation67. Similarly, repeated treatment with 25N-N1-Nap (16) induced a tolerance to a subsequent challenge dose of DOI, indicating β-arrestin2-biased agonists may also be capable of inducing 5-HT2AR downregulation. Although it was recently reported that β-arrestin2 KO mice do show tolerance to DOI-induced HTR after repeated treatment67, the use of constitutive KOs to address the mechanisms of GPCR tolerance is not ideal because of potential aforementioned adaptations (e.g. β-arrestin1 to offset loss of β-arrestin2).

One important result of these studies is the discovery of an apparent 5-HT2AR Gq-efficacy threshold for induction of the HTR in mice. In addition to finding a robust and highly significant correlation between the magnitude of the HTR and multiple readouts of 5-HT2AR Gq-efficacy, we found that compounds with a Gq EMAX < 70% do not induce the HTR. 5-HT2AR Gq-efficacy was found to be correlated with HTR magnitude in previous studies of mixed 5-HT2A/2C agonists69,70, but those studies did not test enough compounds to identify a clear Gq-efficacy threshold for HTR activity. Since mice exhibit a baseline level of spontaneous HTR that is driven by basal 5-HT2AR activation71, the existence of a threshold for HTR activity is not surprising because compounds with low Gq-efficacy may act as partial antagonists relative to endogenous 5-HT basal stimulation. A similar threshold may exist for psychedelic effects in humans because all psychedelics we tested activated 5-HT2AR-Gq dissociation with EMAX > 70%, whereas non-psychedelic analogs have lower efficacy (EMAX < 70%), which likely explains why the non-psychedelics do not induce the HTR in mice or psychedelic effects in humans. Consistent with our findings, lisuride (EMAX = 48.6%) was reported to have substantially lower Gq-efficacy than LSD (Emax = 84.6%) or DOI (EMAX = 81.3%) in a 5-HT2AR-Gq calcium mobilization assay72. Although we did not test the putative non-psychedelic 5-HT2AR agonist tabernanthalog, it reportedly has EMAX = 57% in a 5-HT2AR calcium flux assay5, which may be too low to induce the HTR. These data have implications for drug development as it should be possible to identify 5-HT2AR-Gq partial agonists that do not induce the HTR and lack strong psychedelic effects in humans but retain sufficient Gq-efficacy to induce therapeutic neurophysiological effects via 5-HT2AR (e.g., induction of neuroplasticity). 2-Br-LSD is consistent with this hypothesis because it induces neuroplasticity via 5-HT2AR even though its 5-HT2AR-Gq EMAX is subthreshold to induce the HTR11. Based on these results, it should be possible to rationally design non-psychedelic 5-HT2AR agonists with therapeutic potential by fine-tuning 5-HT2AR Gq-efficacy. In effect, partial 5-HT2AR-Gq agonists may act as mixed agonist-antagonists, similar to buprenorphine and other opioid receptor partial agonists73, which contribute to their superior safety profile and greater tolerability17. Future studies will also need to examine partial 5-HT2AR-Gq agonists in preclinical disease models to assess whether they possess therapeutic-like activity, for example, as rapid-acting antidepressants.

Based on our results, ligand interactions with residue W3366.48 are an important predictor of agonists with weaker Gq-efficacy but do not fully explain the β-arrestin bias exhibited by these compounds. Residue W6.48 is known to be critical in propagating conformational changes by altering the position of TM6 to impact the cytosolic transducer binding pockets and influence bias34, but the change in W3366.48 in our 25N-N1-Nap (16) simulation can likely influence other trigger motifs (PIF and NPxxY), which may be important to preserve GPCR-arrestin recruitment. For example, an influence of W6.48 on the PIF/PIW motif and corresponding changes in TM6 orientation were observed in MD studies with bias at β2-adreneregic32, rhodopsin74, MOR34, 5-HT2CR75, S1PR176, and other GPCRs35. Moreover, our MD results with the “partially active” TM6 orientation are intriguing given several β-arrestin1 GPCR structures, including LSD-bound 5-HT2BR structures77, show a larger TM6 outward movement relative to the G protein-bound state, though differences may exist in the initial conformation recognized by the transducer and the resulting complex. Therefore, further structural studies are needed to identify other conformational changes involved in Gq versus arrestin-modulation of the binding pocket, especially with respect to these discovered biased ligands.

Several limitations are noted in this study. First, is the use of high-expressing recombinant proteins in immortalized cells, which are necessary for adequate signal detection in vitro. Future studies investigating 5-HT2AR transducer effects in native tissues are warranted. Second, the use of non-human model organisms raises questions about human translatability. We used mouse HTR as a predictor of human psychedelic-like activity because it has excellent predictive and construct validity for psychedelics and can distinguish non-psychedelic 5-HT2A agonists9,11,78. However, species nuances may limit extrapolation of these findings to humans and the degree Gq-efficacy thresholds align in humans and rodents is unclear. Finally, we chose not to use the forced swim test or tail suspension to assess antidepressant-like effects with 5-HT2AR β-arrestin-biased agonists, because animal behavioral despair models lack translational validity7981. Utilizing an RDoC-like approach82 to investigate potential clinical applications will best serve to illuminate the therapeutic potential of biased or partial 5-HT2AR agonists. The potential therapeutic utility of β-arrestin-biased 5-HT2AR agonists needs further study, but our findings suggest they mimic psychedelics in some ways (induction of cross-tolerance and 5-HT2AR downregulation) but also produce antagonist-like effects (e.g. blockade of PCP hyperlocomotion and DOI-induced HTR). Potentially, β-arrestin-biased ligands may mimic the therapeutic effects of 5-HT2AR antagonists with less potential to disrupt cognition, possibly improving their efficacy and tolerability, but pharmacokinetic parameters should be investigated to ensure proper dosing and receptor occupancy in future experiments.

In conclusion, we have shown that psychedelic drugs activate both 5-HT2AR-Gq dissociation and β-arrestin2 recruitment, which led to us to design 5-HT2AR-selective biased agonists to probe 5-HT2AR transducers necessary for psychedelic potential. These results indicate that a 5-HT2AR Gq-efficacy is necessary to produce psychedelic-like effects, as measured by the HTR, and that it is possible to predict psychedelic potential based on this threshold. This study has implications for understanding the neurobiological basis of psychedelic effects and reveals strategies for designing non-psychedelic 5-HT2AR agonists that can potentially be used as therapeutics.

Methods

Ethical statement

The mouse studies were conducted in accordance with National Institutes Health (NIH) guidelines and were approved by the University of California San Diego Institutional Animal Care and Use Committee (Protocol #S17044).

Synthesis materials and methods

N-benzyl-compounds were synthesized by reductive amination (using NaBH4) of the pre-formed imine (in solution) obtained by treating the primary amine (e.g., 25N) with the respective aldehyde in dry (3 Å molecular sieves) methanol and THF in the presence of 3 Å molecular sieves in the dark under an argon atmosphere for at least 48 hours. Descriptions, including yields and analytical data including 1H and 13C NMR chemical shift assignments, 1H and 13C NMR spectra, HPLC traces are provided in the Supplementary Information.

Intermediates and reagents for synthesis were purchased from Sigma-Aldrich (St Louis, MO, USA), AKSci, and Alfa Aesar. Reagents were generally 95% pure or greater. 200-proof ethyl alcohol was obtained from Pharmaco (Greenfield Global, CT, USA). Silica gel flash column chromatography was performed using Merck silica gel grade 9385 (230-400 mesh, 60 Å). Melting points were measured using a Digimelt A160 SRS digital melting point apparatus (Stanford Research Systems, Sunnyvale, CA, USA) using a ramp rate of 2 °C/min.

High-performance liquid chromatography (HPLC)

HPLC analyses were performed on an Agilent 1260 Infinity system that includes a 1260 quaternary pump VL, a 1260 ALS autosampler, a 1260 Thermostatted Column Compartment, and a DAD Multiple Wavelength Detector (Agilent Technologies, Santa Clara, CA, USA). Detection wavelengths were set at 220, 230, 254, and 280 nm but only 220 nm was used for analysis. A Zorbax Eclipse XDB-C18 analytical column (5 µm, 4.6 × 150 mm) from Agilent Technologies was used. Mobile phase A consisted of 10 mM aqueous ammonium formate buffer titrated to pH 4.5. Mobile phase B consisted of acetonitrile. The injection volume of samples was 10 µL, flow rate was 1.0 mL/min, and the column temperature was set at 25oC. Samples were prepared by preparing a 1 mg/mL solution in 1:1 A:B. All samples were injected in duplicate with a wash in between each run. Run time was 10 minutes with a mobile phase ratio (isocratic) of 1:1 for A:B. Chromatograms were analyzed using the Agilent ChemStation Software (Agilent Technologies). Purity values were calculated from area under the curves of the absorbance at 220 nm of any resulting peaks.

High resolution mass spectrometry (HRMS)

HRMS data were obtained on a Thermo Orbitrap Exactive Mass Spectrometer with an Orbitrap mass analyzer. The instrument was calibrated using electrospray ionization with PierceTM LTQ ESI Positive Ion Calibration Solution from ThermoFisher Scientific. Samples were introduced into the instrument and ionized via an Atmospheric Solids Analysis Probe (ASAP). Data were analyzed in the Thermo Xcalibur Qual Browser software and identity was confirmed if <5 ppm error. Measurement parameters were as follows: Aux gas flow rate-8, Spray Voltage-3.50 kV, Capillary temperature-275oC, Capillary Voltage-25.00 V, Tube Lens Voltage-65.00 V, Skimmer Voltage-14.00 V, Heater Temperature-100oC.

Elemental analysis

Elemental analysis (C, H, N) was run on select compounds by Galbraith Laboratories, Inc. (Knoxville, TN).

Nuclear magnetic resonance

1H (400 MHz) and 13C NMR spectra (101 MHz) were obtained on the hydrochloride salts as a solution in anhydrous d6-DMSO ( ~ 20 mg/mL) ( > 99.9% D, Sigma-Aldrich) on a Bruker Avance III with PA BBO 400S1 BBF-H-D-05 Z plus probe (Bruker Corporation, Billerica, MA, USA). Solvent (δ = 2.50 and 39.52 ppm for 1H and 13C spectras respectively) was used for internal chemical shift references. 19F (376.5 MHz) NMR was run as described above using ~100 µL of trichlorofluoromethane (99%+, Sigma-Aldrich) as internal reference (δ = 0.0 ppm). Full NMR chemical shift assignments were made using chemical shift position, splitting patterns, 13C and 13C PENDANT or APT and hetero- and homo- 2-D experimentss including HMQC or HSQC, HMBC and COSY (45° pulse tilt). A background water concentration of solvent (determined as integration ratio relative to solvent shift) was also determined to check for water content (indicative of a hydrate) within the final salts for 25N compounds. Evidence of hydrates was not observed.

Receptor binding experiments

Competition-based receptor binding studies were performed by the National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP) using described methods83. Target compounds were dissolved in DMSO and an initial screen performed to assess displacement of the radioligand at target receptors using a concentration of 10 µM. Those compounds that showed >50% displacement of specific radioligand binding for a given receptor then underwent secondary screenings at varying concentrations to determine pKi values. For the Ki experiments, compounds were run in triplicate on separate plates. Each plate contained a known ligand of the receptor as a positive control. Full experimental details are available in the NIMH PDSP assay protocol book. For all 5-HT subtypes, an N = 3–4 was performed except where noted (Supplementary Table 8) and a mean pKi and SEM was calculated using these replicate experiments. Affinities at off-targets are provided in Supplementary Tables 9, 10.

Gq-dissociation and β-arrestin2 recruitment BRET assays

To measure 5-HT receptor-mediated β-Arrestin2 recruitment as measured by BRET1, HEK293T cells (ATCC Cat# CRL-11268; mycoplasma-free) were subcultured in DMEM supplemented with 10% dialyzed FBS (Omega Scientific) and were co-transfected in a 1:15 ratio with human or mouse 5-HT receptors containing C-terminal fused renilla luciferase (RLuc8), and a Venus-tagged N-terminal β-arrestin2 using 3:1 ratio of TransiT-2020 (Mirus). 5-HT2A receptor mutants were designed and performed using Q5 mutagenesis kit (New England Biolabs). All DNA was sequence verified using Sanger nucleotide sequencing (Retrogen, San Diego, CA). To measure 5-HT receptor-mediated Gq activation via Gq/γ1 dissociation as measured by BRET2, HEK293T cells were subcultured in DMEM supplemented with 10% dialyzed FBS and were co-transfected in a 1:1:1:1 ratio with RLuc8-fused human Gαq (Gαq- RLuc8), a GFP2-fused to the C-terminus of human Gγ1(Gγ1-GFP2), human Gβ1, and 5-HT receptor using TransiT-202084. After at least 18-24 hours, transfected cells were plated in poly-lysine coated 96-well white clear bottom cell culture plates in DMEM containing 1% dialyzed FBS at a density of 25-40,000 cells in 200 µl per well and incubated overnight. The next day, media was decanted and cells were washed with 60 µL of drug buffer (1× HBSS, 20 mM HEPES, pH 7.4), then 60 µL of drug buffer was added per well. Cells were pre-incubated at in a humidified atmosphere at 37 °C before receiving drug stimulation. Drug stimulation utilized 30 µL addition of drug (3X) diluted in McCorvy buffer (1× HBSS, 20 mM HEPES, pH 7.4, supplemented with 0.3% BSA fatty acid free, 0.03% ascorbic acid) and plates were incubated at indicated time and temperatures. Substrate addition occurred 15 minutes before reading and utilized 10 µL of the RLuc substrate, either coelenterazine h for β-Arrestin2 recruitment BRET1 or coelenterazine 400a for Gq dissociation BRET2 (Prolume/Nanolight, 5 µM final concentration) and was added per well. Plates were read for luminescence at 485 nm and fluorescent eYFP emission at 530 nm for BRET1 and at 400 nm and fluorescent GFP2 emission at 510 nm for BRET2 at 1 second per well using a Mithras LB940 (Berthold) or a PheraStar FSX (BMGLabTech). The BRET ratios of fluorescence/luminescence were calculated per well and were plotted as a function of drug concentration using Graphpad Prism 5 or 9 (Graphpad Software Inc., San Diego, CA). Data were normalized to % 5-HT stimulation and analyzed using nonlinear regression “log(agonist) vs. response” to yield Emax and EC50 parameter estimates.

Calcium flux assays

Stably expressing 5-HT receptor Flp-In 293 T-Rex Tetracycline inducible system (Invitrogen Cat#R78007, mycoplasma-free) were used for calcium flux assays85. Cell lines were maintained in DMEM containing 10% FBS, 10 µg/mL Blasticidin (Invivogen), and 100 µg/mL Hygromycin B (GoldBio). Day before the assay, receptor expression was induced with tetracycline (2 µL/mL) and seeded into 384-well poly-L-lysine-coated black plates at a density of 7,500 cells/well in DMEM containing 1% dialyzed FBS. On the day of the assay, the cells were incubated with Fluo-4 Direct dye (Invitrogen, 20 µl/well) for 1 h at 37 °C, which was reconstituted in drug buffer (20 mM HEPES-buffered HBSS, pH 7.4) containing 2.5 mM probenecid. After dye load, cells were allowed to equilibrate to room temperature for 15 minutes, and then placed in a FLIPRTETRA fluorescence imaging plate reader (Molecular Devices). Drug dilutions were prepared at 5X final concentration in drug buffer (20 mM HEPES-buffered HBSS, pH 7.4) supplemented with 0.3% BSA fatty-acid free and 0.03% ascorbic acid. Drug dilutions were aliquoted into 384-well plastic plates and placed in the FLIPRTETRA (Molecular Devices) for drug stimulation. Fluorescence for the FLIPRTETRA were programmed to read baseline fluorescence for 10 s (1 read/s), and afterward 5 µl of drug per well was added and read for a total of 5-10 min (1 read/s). Fluorescence in each well was normalized to the average of the first 10 reads for baseline fluorescence, and then either maximum-fold peak increase over basal or area under the curve (AUC) was calculated. Either peak or AUC was plotted as a function of drug concentration, and data were normalized to percent 5-HT stimulation. Data was plotted and non-linear regression was performed using “log(agonist) vs. response” in Graphpad Prism 9 to yield Emax and EC50 parameter estimates.

Surface expression/internalization experiments

Surface expression was measured using a HiBit-tagged 5-HT2A receptor and the Nano-Glo HiBit Extracellular Detection System (Promega). N-terminal HiBit-tagged human 5-HT2A receptor was cloned into pcDNA3.1 using Gibson Assembly. HEK293T cells (ATCC Cat#CRL-11268; mycoplasma-free) were transfected into 10-cm tissue culture dishes in a 1:15 ratio of HiBit-tagged human 5-HT2A receptor: human β-Arrestin2 (cDNA Resource Center; www.cDNA.org). Cells were transfected in DMEM 10% dFBS and the next day, cells were plated into either poly-L-lysine-coated 96-well white assay plates (Grenier Bio-One). On the day of the assay, plates were decanted and HEPES-buffered DMEM without phenol-red (Invitrogen) was added per well. Plates were allowed to equilibrate at 37 °C in a humidified incubator before receiving drug stimulation. Compounds (including 5-HT as control) were serially diluted in McCorvy buffer (20 mM HEPES-buffered HBSS, pH 7.4 supplemented with 0.3% BSA fatty-acid free and 0.03% ascorbic acid), and dilutions were added to plates in duplicate (96). Plates were allowed to incubate at 37 °C for 1 hour in a humidified incubator or a specified time point. Approximately 15 minutes before reading, LgBit and coelenterazine h (5 uM final concentration) were added to each well. Plates were sealed to prevent evaporation and read on either a PheraStar FSX (BMB Lab Tech) or Mithras LB940 (Berthold Technologies) at 485 nm at 37 °C for time-capture quantification of internalization or loss of surface expression. Luminescence was plotted as a function of drug concentration using Graphpad Prism 5 or 9 (Graphpad Software Inc., San Diego, CA). Data were analyzed using nonlinear regression “log(agonist) vs. response” to yield Emax and EC50 parameter estimates and normalized to % 5-HT surface expression, which a full concentration-response curve was present on every plate.

Induced fit docking

Docking simulations of six of the 25N ligands, selected to assess the binding modes and provide potential insight into the SAR around transducer or receptor selectivity, were carried out against the active state human 5-HT2A receptor (PDB: 6WHA) using the Induced-Fit Docking (IFD) protocol86 of the Schrodinger Suite (2020a). IFD was run with extended sampling enabled, using the default setting of residues within 5 Å of the experimental ligand (25N-NBCN) and other parameters maintained at their default values, and ligand structures processed using the LIGPREP tool (target pH of 7) of the Schrödinger (release 2020c).

Poses generated in the IFD runs were analyzed with PyMol visualization application (The PyMOL Molecular Graphics System, Version 2.0 Schrödinger, LLC).

Estimation of ring substituent effects on molecular electrostatic potential

A series of model compounds were constructed that included only the benzylamine or naphthylamine portion of the corresponding ligand structure. Quantum mechanical optimization of the model compounds, in both neutral and cationic forms, was carried out using density functional theory (DFT) with the Jaguar tool of the Schrodinger suite using the B3LYP functional and 6–311 g**++ basis set, with the exceptions of the models for 25N-NBI, where the halogen atom was not supported, and a smaller basis (3–21 g*++) was substituted. We computed Hirshfeld partial atomic charges (Supplementary Table 4) for the model compounds using the optimized wavefunctions as a proxy for overall MEP. Hirshfeld charges are computed from a spatial partitioning of the electron density, and have been shown to correlate well with a variety of properties of aromatic molecules87.

Molecular dynamics (MD) simulations

Simulations were performed for each of two ligands (25CN-NBOH or 25N-N1-Nap (16) in complex with the human 5-HT2A serotonin receptor in a lipid bilayer of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) and SPC water with enough Cl- and Na+ ions to neutralize the system at biologic salinity (0.15 M ionic strength). For the 25CN-NBOH system a model of the protein-ligand part of the system was made from chain A of the 6WHA PDB entry, downloaded from the OPM server88. Missing extracellular loops were filled in with those from chain A of PDB entry 6WGT. Schrödinger’s Protein Preparation Wizard89 was employed to use Prime90 to fill in missing side chains, and to use Epik91 to select the appropriate tautomers and protonation states of the protein and ligand. Due to anticipated difficulty modeling the long ICL3, the helices of TM5 and TM6 were capped, along with the N and C termini, with polar terminating residues: COOH for residue Q2625.66 and NH2 for I3156.27. During pilot simulations, entanglement of polar sidechains in the membrane occurred. To prevent this, it was found necessary that the rotamers for the loops and capped termini whose sidechains would otherwise interact with the polar heads of the lipid molecules be manually adjusted to ensure adequate water solvation at the beginning of the simulation. This was achieved by maximizing the magnitude of atomic coordinate z of terminal side-chain atoms, where the z-axis is perpendicular to the membrane and z = 0 locates the middle of the bilayer. Another issue identified during preliminary simulations was that DPPC tails would intrude into the orthosteric pocket between helices TM4 and TM5, causing the nitrile end of the ligand to project up toward the extracellular side of the pocket. On careful inspection, it was discovered that there is a stable position for a water molecule among residues D1202.50, S1623.39, and N3767.49. Manual introduction of a solvent molecule into this void volume successfully prevented lipid intrusion.

A disulfide bond between C1483.25 and C22745.50 18 was added to the topology, as well one between C3496.61 and C353ECL3. Each ligand was protonated at the basic nitrogen (as confirmed by Epik) and topology parameter files needed for subsequent dynamics simulation were determined using the ATB server [https://atb.uq.edu.au/]. Partial atomic charges for the ligands were computed via Schrödinger’s Jaguar tool using the density-functional method (B3LYP-D3 functional, 6-31 G** basis), with discrete charges derived from the geometry-optimized wavefunction using the Hirshfeld approach (Supplementary Table 4). The total protein comprised 278 residues with 2849 atoms. The remaining system consisted of 6933 water molecules, 29 Cl- ions, 20 Na+ ions, and 88 DPPC molecules. 25CN-NBOH has 44 atoms. The total number of atoms in the system is 28,137. The orthorhombic initial system dimensions were 61.319 × 60.911 × 97.412 Å3.

The protein-ligand complex for 25N-N1-Nap (16) starts with the structure from the top-ranked pose determined by induced fit docking (IFD). A chimeric homology model was created in Maestro using the IFD structure as the template everywhere except at the missing loops; these are taken from the 25CN-NBOH-system. This resulting protein-25N-N1-Nap (16) homology model was superposed (using the positions of the TM Cαs) onto the protein-ligand complex in the full (water-ion-lipid-protein-ligand) unrelaxed construct built for the 25CN-NBOH simulation. The protein-25CN-NBOH complex was then removed and the 25N-N1-Nap (16)-protein complex substituted in its place. As the IFD docking involved minimal changes to backbone conformation, the resulting model for the 25N-N1-Nap (16) ligand had helix and loop positions nearly identical to those of the 25CN-NBOH model, permitting a direct structural substitution. That said, prior to any further computations, a restrained minimization was carried out with only the membrane/solvent system fully mobile, to remove any high-energy interatomic overlaps that might have been inadvertently produced by the alignment and substitution. The 25N-N1-Nap (16) simulation comprised a total of 28,143 atoms (50 atoms for the ligand and otherwise identical to the 25CN-NBOH system). The orthorhombic initial system dimensions were 61.864 × 61.453 × 96.12 Å3.

Simulation protocols and analysis

Both sets of simulations had three phases: minimization (unrestrained steepest decent), equilibration, and a production run. The equilibration phases for both sets comprise a restrained NVT simulation followed by a restrained NPT one. In both, the protein and ligand atoms were restrained close to their initial positions by a harmonic potential with force constant k = 1000 kJ/mol/nm (23.9 kcal/mol/Å). Both production simulations were 250-ns NPT unrestrained MD simulations. The force field used was GROMOS96 54a792. The MD engine used was GROMACS v2021.2. The energy parameters in common between the 25CN-NBOH and the 25N-N1-Nap (16) simulations can be found in Supplementary Table 23. The parameters that vary between stages and systems can be found in Supplementary Table 24.

The chi2 dihedral data were measured by GROMACS’s chi command every 10 ps. The histogram bin width was one degree. Plots were made in Grace v5.1.25. The time-series heat maps of the pocket-ligand nonbonded interaction energy were made with Seaborn and Matplotlib, and also using custom python code (see Custom Code). The data were calculated by GROMACS’s mdrun command. The pocket residues were determined by Schrödinger’s Maestro (all residues within 5 Å of the ligand). Protein cartoons and geometric measurements were made in VMD93 and Maestro. Twelve replicates of the simulations for the two ligands were performed by carrying out the same protocols for system preparation and equilibration, but with assignment of independent random atomic velocities to the starting structures. These simulations provided enhanced sampling of configurations. While transitions between states were observed within some single replicate trajectories, the observed states were closely similar to those found in the primary simulations.

Animal behavioral experiments

Male C57BL/6 J mice (6–8 weeks old) from Jackson Labs (Bar Harbor, ME, USA) were used for the behavioral experiments. The mice were housed on a reversed light-dark cycle (lights on at 1900 h, off at 0700 h,) in an AALAC-approved vivarium at the University of California San Diego. Mice were housed up to four per cage in a climate-controlled room and with food and water provided ad libitum except during behavioral testing. Testing was performed between 1000 and 1800 h (during the dark phase of the light-dark cycle). The studies were conducted in accordance with National Institutes Health (NIH) guidelines and were approved by the University of California San Diego Institutional Animal Care and Use Committee (Protocol #S17044).

The drug solutions used for the behavioral experiments were prepared as follows: pimavanserin hemitartrate (MedChemExpress), 25C-NBOH hydrochloride, 3,4-dimethoxy-4-methylphenethylamine hydrochloride (desoxy), and 4-cyclopropyl-3,5-dimethoxyphenethylamine hydrochloride (CPM) were dissolved in sterile water; 6-fluoro-N,N-diethyltryptamine (6-F-DET; donated by the Usona Institute, Fitchburg, WI, USA) was dissolved in sterile water acidified with HCl to pH 5; YM-254,890 (FUJIFILM Wako Chemicals USA, Richmond, VA, USA) was dissolved in 100% dimethyl sulfoxide (DMSO); edelfosine (Tocris Bioscience, Minneapolis, MN, USA), ( ± )−2,5-dimethoxy-4-iodoamphetamine hydrochloride ((±)-DOI; Cayman Chemical, Ann Arbor, MI, USA), R-(–)−2,5-dimethoxy-4-iodoamphetamine hydrochloride (R-(–)-DOI; donated by the National Institute on Drug Abuse, Rockville, MD, USA), phencyclidine hydrochloride (PCP; Sigma-Aldrich), N,N-diethyltryptamine fumarate (DET; donated by the National Institute on Drug Abuse, Rockville, MD, USA), 5-methoxy-N,N-dimethyltryptamine hemifumarate (5-MeO-DMT; donated by the National Institute on Drug Abuse, Rockville, MD, USA), 6-methoxy-N,N-dimethyltryptamine hydrochloride (6-MeO-DMT), 25N-NBOMe hydrochloride, and 25N-NB hydrochloride were dissolved in isotonic saline; 25C-NBMD hydrochloride was dissolved in sterile water containing 2% Tween-80 (v/v); 25N-NBOEt hydrochloride, 25N-NB-2-OH-3-Me hydrochloride, 25N-NBPh hydrochloride, 25O-N1-Nap hydrochloride, 2C2-N1-Nap hydrochloride, 25O-NBOMe hydrochloride, 25O-NBPh-10’-OH hydrochloride, 25O-NB-3-I hydrochloride, 25O-NBcP hydrochloride, 2C-N hydrochloride, and M100907 were dissolved in sterile water containing 5% Tween-80 (v/v); 25N-NBNO2 hydrochloride was dissolved in sterile water containing 20% hydroxypropyl-β-cyclodextran (w/v); 25N-NBBr hydrochloride was dissolved in sterile water containing 5% Tween-80 (v/v) and 20% hydroxypropyl-β-cyclodextran (w/v); for the remaining 25 N derivatives, the hydrochloride salts were dissolved in sterile water containing 1% Tween-80 (v/v). 25N derivatives, 25O-NBOMe, 25O-NBPh-10’-OH, 25O-NB-3-I, 25O-NBcP, 25O-N1-Nap, 2C2-NBOMe, 2C2-N1-Nap, and 25D-N1-Nap were injected SC (5 mL/kg or 10 mL/kg) to avoid first-pass effects and ensure stable pharmacokinetics; M100907 was injected SC (5 mL/kg); pimavanserin, edelfosine, R-(–)-DOI, ( ± )-DOI, 25C-NBOH, desoxy, CPM, 25C-NBMD, DET, 6-F-DET, 5-MeO-DMT, 6-MeO-DMT, and PCP were injected IP (5 mL/kg); YM-254,890 was injected into the lateral ventricle (2 µL) over 1 min. Slightly different procedures were used for the for the tolerance experiments (see below). HTR experiments with 1 mg/kg DOI were performed using either the racemate or the R-enantiomer as specified.

Assessment of the head-twitch response

The head-twitch response (HTR) was assessed using a head-mounted neodymium magnet and a magnetometer detection coil78. The mice were allowed to recover from the magnet implantation surgeries for at least 1 week prior to behavioral testing. Mice were tested in multiple HTR experiments, with at least 7 days between studies to avoid carryover effects. HTR experiments were conducted in a well-lit room, and the mice were allowed to habituate to the room for at least 1 h prior to testing. Mice were tested in a 12.5-cm diameter glass cylinder surrounded by a magnetometer coil. Coil voltage was low-pass filtered (2 kHz), amplified, and digitized (20-kHz sampling rate) using a Powerlab (model /8SP or 8/35) with LabChart software (ADInstruments, Colorado Springs, CO, USA). Head twitches were identified in the recordings off-line by their waveform characteristics94 or using artificial intelligence95. HTR counts were analyzed using one-way ANOVAs or one-way Welch ANOVAs (in cases where groups showed unequal variances). Tukey’s test or Dunnett’s T3 multiple comparisons test was used for post hoc comparisons. Significance was demonstrated by surpassing an α level of 0.05. Median effective doses (ED50 values) and 95% confidence intervals for dose-response experiments were calculated by nonlinear regression (Prism 9.02, GraphPad Software, San Diego, CA, USA).

Assessment of PCP-induced locomotor activity

The mouse behavioral pattern monitor (BPM) was used to assess locomotor activity96. Each mouse BPM chamber (San Diego Instruments, San Diego, CA, USA) is a transparent Plexiglas box with an opaque 30 × 60 cm floor, enclosed in a ventilated isolation box. The position of the mouse in x,y coordinates is recorded by a grid of 12 × 24 infrared photobeams located 1 cm above the floor. A second row of 16 photobeams (parallel to the long axis of the chamber, located 2.5 cm above the floor) is used to detect rearing behavior. Holepoking behavior is detected by 11 1.4-cm holes that are situated in the walls (3 holes in each long wall, 2 holes in each short wall) and the floor (3 holes); each hole is equipped with an infrared photobeam. The status of each photobeam is sampled every 55 ms and recorded for offline analysis. Mice were allowed to habituate to the testing room for at least 1 h prior to testing. For the BPM experiments, mice (n = 6/group) were pretreated SC with test drug or vehicle, PCP (5 mg/kg) or vehicle was injected IP 10 minutes later, and then the mice were placed in the BPM chambers 10 minutes after the second injection and activity was recorded for 60 minutes. Locomotor activity was quantified as distance traveled, which was analyzed in 20-minute blocks using a three-way ANOVA, with pretreatment and treatment as between-subject variables and time as a within-subject variable. Tukey’s test was used for post hoc comparisons. Significance was demonstrated by surpassing an α level of 0.05.

Effect of Repeated Treatment with 5-HT2A receptor ligands on Head-Twitch Response

In the first experiment, mice (n = 6–7/group, 19 total) were injected SC (5 mL/kg) once daily with vehicle (water containing 5% Tween-80), 25N-N1-Nap hydrochloride (20 mg/kg), or (±)-DOI hydrochloride (10 mg/kg) for five consecutive days. Twenty-four hours later, all of the mice were challenged with an IP injection of 1 mg/kg (±)-DOI hydrochloride and then HTR activity was recorded for 40 minutes. In the second experiment, mice (n = 6/group, 12 total) were injected IP (5 mL/kg) once daily with vehicle (water) or pimavanserin hemitartrate (1 mg/kg) for five consecutive days. Twenty-four hours later, all of the mice were challenged with an IP injection of 1 mg/kg (±)-DOI hydrochloride and then HTR activity was recorded for 40 minutes.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Supplementary information

Peer Review File (3.3MB, pdf)
41467_2023_44016_MOESM3_ESM.pdf (2.9KB, pdf)

Description of Additional Supplementary Files

Supplementary Dataset 1 (350.3KB, xlsx)
Supplementary Dataset 3 (937.2KB, pdf)
Reporting Summary (346.5KB, pdf)

Source data

Source Data (290.3KB, xlsx)

Acknowledgements

This work was supported by Medical College of Wisconsin Research Affairs Counsel Pilot grant (JDM), National Institutes of Health General Medical Sciences grant NIGMS R35GM133421 (JDM) and National Institutes of Health Drug Abuse NIDA R01DA041336 (ALH), as well as by the Veteran’s Administration VISN 22 Mental Illness Research, Education, and Clinical Center (ALH). We thank technical assistance from Lisa McNally.

Author contributions

The study was conceived by J.W., A.L.H. and J.D.M. Compounds were synthesized and analytically characterized by J.W., H.M., J.G. and T.F. BRET, calcium flux, binding, mutagenesis, kinetics, and internalization experiments were performed by A.B.C., M.M.C., J.K.L., H.A.B., E.M.B., J.J.H. and E.I.A. under the supervision of J.D.M. In vivo behavioral experiments were performed by A.L.H., R.K., A.K.K. and B.C. A.M.S. provided compounds and input on the experiments. R.Z. and A.J.H conducted the docking and molecular dynamics simulations and helped write docking and MD sections. J.W., A.L.H. and J.D.M. drafted and edited the original manuscript. All authors reviewed the manuscript.

Peer review

Peer review information

Nature Communications thanks David Gloriam, Charles D. Nichols and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

Data availability

All data generated in this study are included in this article, Supplementary Information, and in the Supplementary Data files. Source data are provided with this paper. PDB deposited structural data are as follows: 6WHA 5-HT2A cryo-EM structure in complex with 25CN-NBOH; 6WGT 5-HT2A crystal structure in complex with LSD; 6A94 5-HT2A crystal structure in complex with zotepine; 6A93 5-HT2A crystal structure in complex with risperidone; 6WH4 5-HT2A crystal structure in complex with methiothepin. Source data are provided with this paper.

Code availability

Custom code is available at github: https://github.com/jruhym/jNotebooksForMD/blob/trunk/pocket-ligandInteractionTimeSeriesHeatmap.ipynb.

Competing interests

JW, ALH, and JDM submitted a patent application for the compounds in this study entitled “Selective, partial, and arrestin-biased 5-HT2A agonists with utility in various disorders,” PCT WO2022241006A1. AKK is currently an employee of Gilgamesh Pharmaceuticals. All other authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Jason Wallach, Email: jwallach@sju.edu.

Adam L. Halberstadt, Email: ahalberstadt@health.ucsd.edu

John D. McCorvy, Email: jmccorvy@mcw.edu

Supplementary information

The online version contains supplementary material available at 10.1038/s41467-023-44016-1.

References

  • 1.Chi T, Gold JA. A review of emerging therapeutic potential of psychedelic drugs in the treatment of psychiatric illnesses. J. Neurol. Sci. 2020;411:116715. doi: 10.1016/j.jns.2020.116715. [DOI] [PubMed] [Google Scholar]
  • 2.Romeo B, Karila L, Martelli C, Benyamina A. Efficacy of psychedelic treatments on depressive symptoms: A meta-analysis. J. Psychopharmacol. 2020;34:1079–1085. doi: 10.1177/0269881120919957. [DOI] [PubMed] [Google Scholar]
  • 3.Johnson MW, Hendricks PS, Barrett FS, Griffiths RR. Classic psychedelics: An integrative review of epidemiology, therapeutics, mystical experience, and brain network function. Pharm. Ther. 2019;197:83–102. doi: 10.1016/j.pharmthera.2018.11.010. [DOI] [PubMed] [Google Scholar]
  • 4.Mastinu, A. et al. The Bright Side of Psychedelics: Latest Advances and Challenges in Neuropharmacology. Int. J. Mol. Sci.24, 10.3390/ijms24021329 (2023). [DOI] [PMC free article] [PubMed]
  • 5.Cameron LP, et al. A non-hallucinogenic psychedelic analogue with therapeutic potential. Nature. 2021;589:474–479. doi: 10.1038/s41586-020-3008-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kaplan AL, et al. Bespoke library docking for 5-HT2A receptor agonists with antidepressant activity. Nature. 2022;610:582–591. doi: 10.1038/s41586-022-05258-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Preller KH, et al. Effective connectivity changes in LSD-induced altered states of consciousness in humans. Proc. Natl Acad. Sci. USA. 2019;116:2743–2748. doi: 10.1073/pnas.1815129116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Vollenweider FX, Vollenweider-Scherpenhuyzen MF, Babler A, Vogel H, Hell D. Psilocybin induces schizophrenia-like psychosis in humans via a serotonin-2 agonist action. Neuroreport. 1998;9:3897–3902. doi: 10.1097/00001756-199812010-00024. [DOI] [PubMed] [Google Scholar]
  • 9.Halberstadt AL, Chatha M, Klein AK, Wallach J, Brandt SD. Correlation between the potency of hallucinogens in the mouse head-twitch response assay and their behavioral and subjective effects in other species. Neuropharmacology. 2020;167:107933. doi: 10.1016/j.neuropharm.2019.107933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Halberstadt AL, Geyer MA. Multiple receptors contribute to the behavioral effects of indoleamine hallucinogens. Neuropharmacology. 2011;61:364–381. doi: 10.1016/j.neuropharm.2011.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lewis V, et al. A non-hallucinogenic LSD analog with therapeutic potential for mood disorders. Cell Rep. 2023;42:112203. doi: 10.1016/j.celrep.2023.112203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.McCorvy JD, Roth BL. Structure and function of serotonin G protein-coupled receptors. Pharm. Ther. 2015;150:129–142. doi: 10.1016/j.pharmthera.2015.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wacker D, et al. Structural features for functional selectivity at serotonin receptors. Science. 2013;340:615–619. doi: 10.1126/science.1232808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Tan L, Yan W, McCorvy JD, Cheng J. Biased Ligands of G Protein-Coupled Receptors (GPCRs): Structure-Functional Selectivity Relationships (SFSRs) and Therapeutic Potential. J. Med. Chem. 2018;61:9841–9878. doi: 10.1021/acs.jmedchem.8b00435. [DOI] [PubMed] [Google Scholar]
  • 15.Kenakin T. Biased Receptor Signaling in Drug Discovery. Pharm. Rev. 2019;71:267–315. doi: 10.1124/pr.118.016790. [DOI] [PubMed] [Google Scholar]
  • 16.Gan TJ, Wase L. Oliceridine, a G protein-selective ligand at the mu-opioid receptor, for the management of moderate to severe acute pain. Drugs Today Barc. 2020;56:269–286. doi: 10.1358/dot.2020.56.4.3107707. [DOI] [PubMed] [Google Scholar]
  • 17.Gillis, A. et al. Low intrinsic efficacy for G protein activation can explain the improved side effect profiles of new opioid agonists. Sci Signal13, 10.1126/scisignal.aaz3140 (2020). [DOI] [PubMed]
  • 18.Kim K, et al. Structure of a Hallucinogen-Activated Gq-Coupled 5-HT2A Serotonin Receptor. Cell. 2020;182:1574–1588 e1519. doi: 10.1016/j.cell.2020.08.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Wacker D, et al. Crystal Structure of an LSD-Bound Human Serotonin Receptor. Cell. 2017;168:377–389 e312. doi: 10.1016/j.cell.2016.12.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kolb P, et al. Community guidelines for GPCR ligand bias: IUPHAR review 32. Br. J. Pharm. 2022;179:3651–3674. doi: 10.1111/bph.15811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Klein Herenbrink C, et al. The role of kinetic context in apparent biased agonism at GPCRs. Nat. Commun. 2016;7:10842. doi: 10.1038/ncomms10842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Grundmann M, Kostenis E. Temporal Bias: Time-Encoded Dynamic GPCR Signaling. Trends Pharm. Sci. 2017;38:1110–1124. doi: 10.1016/j.tips.2017.09.004. [DOI] [PubMed] [Google Scholar]
  • 23.Hansen M, et al. Synthesis and structure-activity relationships of N-benzyl phenethylamines as 5-HT2A/2C agonists. ACS Chem. Neurosci. 2014;5:243–249. doi: 10.1021/cn400216u. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Juncosa JI, Jr., et al. Extensive rigid analogue design maps the binding conformation of potent N-benzylphenethylamine 5-HT2A serotonin receptor agonist ligands. ACS Chem. Neurosci. 2013;4:96–109. doi: 10.1021/cn3000668. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Acuna-Castillo C, et al. Differences in potency and efficacy of a series of phenylisopropylamine/phenylethylamine pairs at 5-HT(2A) and 5-HT(2C) receptors. Br. J. Pharm. 2002;136:510–519. doi: 10.1038/sj.bjp.0704747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Moya PR, et al. Functional selectivity of hallucinogenic phenethylamine and phenylisopropylamine derivatives at human 5-hydroxytryptamine (5-HT)2A and 5-HT2C receptors. J. Pharm. Exp. Ther. 2007;321:1054–1061. doi: 10.1124/jpet.106.117507. [DOI] [PubMed] [Google Scholar]
  • 27.Braden MR, Parrish JC, Naylor JC, Nichols DE. Molecular interaction of serotonin 5-HT2A receptor residues Phe339(6.51) and Phe340(6.52) with superpotent N-benzyl phenethylamine agonists. Mol. Pharm. 2006;70:1956–1964. doi: 10.1124/mol.106.028720. [DOI] [PubMed] [Google Scholar]
  • 28.Hansen M, et al. Synthesis and pharmacological evaluation of N-benzyl substituted 4-bromo-2,5-dimethoxyphenethylamines as 5-HT2A/2C partial agonists. Bioorg. Med Chem. 2015;23:3933–3937. doi: 10.1016/j.bmc.2014.12.011. [DOI] [PubMed] [Google Scholar]
  • 29.Marcher Rorsted E, Jensen AA, Kristensen JL. 25CN-NBOH: A Selective Agonist for in vitro and in vivo Investigations of the Serotonin 2A Receptor. ChemMedChem. 2021;16:3263–3270. doi: 10.1002/cmdc.202100395. [DOI] [PubMed] [Google Scholar]
  • 30.Choudhary MS, et al. Differential ergoline and ergopeptine binding to 5-hydroxytryptamine2A receptors: ergolines require an aromatic residue at position 340 for high affinity binding. Mol. Pharm. 1995;47:450–457. [PubMed] [Google Scholar]
  • 31.McCorvy JD, et al. Structural determinants of 5-HT2B receptor activation and biased agonism. Nat. Struct. Mol. Biol. 2018;25:787–796. doi: 10.1038/s41594-018-0116-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Chen J, et al. Molecular Mechanisms of Diverse Activation Stimulated by Different Biased Agonists for the beta2-Adrenergic Receptor. J. Chem. Inf. Model. 2022;62:5175–5192. doi: 10.1021/acs.jcim.1c01016. [DOI] [PubMed] [Google Scholar]
  • 33.Suomivuori CM, et al. Molecular mechanism of biased signaling in a prototypical G protein-coupled receptor. Science. 2020;367:881–887. doi: 10.1126/science.aaz0326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Piekielna-Ciesielska, J. et al. Pharmacological Characterization of micro-Opioid Receptor Agonists with Biased G Protein or beta-Arrestin Signaling, and Computational Study of Conformational Changes during Receptor Activation. Molecules26, 10.3390/molecules26010013 (2020). [DOI] [PMC free article] [PubMed]
  • 35.Hauser AS, et al. GPCR activation mechanisms across classes and macro/microscales. Nat. Struct. Mol. Biol. 2021;28:879–888. doi: 10.1038/s41594-021-00674-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Gonzalez-Maeso J, et al. Hallucinogens recruit specific cortical 5-HT(2A) receptor-mediated signaling pathways to affect behavior. Neuron. 2007;53:439–452. doi: 10.1016/j.neuron.2007.01.008. [DOI] [PubMed] [Google Scholar]
  • 37.Wood DM, Sedefov R, Cunningham A, Dargan PI. Prevalence of use and acute toxicity associated with the use of NBOMe drugs. Clin. Toxicol. (Philos.) 2015;53:85–92. doi: 10.3109/15563650.2015.1004179. [DOI] [PubMed] [Google Scholar]
  • 38.Canal CE, et al. Molecular pharmacology and ligand docking studies reveal a single amino acid difference between mouse and human serotonin 5-HT2A receptors that impacts behavioral translation of novel 4-phenyl-2-dimethylaminotetralin ligands. J. Pharmacol. Exp. Therapeut. 2013;347:705–716. doi: 10.1124/jpet.113.208637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Johnson MP, Loncharich RJ, Baez M, Nelson DL. Species variations in transmembrane region V of the 5-hydroxytryptamine type 2A receptor alter the structure-activity relationship of certain ergolines and tryptamines. Mol. Pharm. 1994;45:277–286. [PubMed] [Google Scholar]
  • 40.Rodriguiz RM, et al. LSD-stimulated behaviors in mice require beta-arrestin 2 but not beta-arrestin 1. Sci. Rep. 2021;11:17690. doi: 10.1038/s41598-021-96736-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Schmid CL, Raehal KM, Bohn LM. Agonist-directed signaling of the serotonin 2A receptor depends on beta-arrestin-2 interactions in vivo. Proc. Natl Acad. Sci. USA. 2008;105:1079–1084. doi: 10.1073/pnas.0708862105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Garcia EE, Smith RL, Sanders-Bush E. Role of G(q) protein in behavioral effects of the hallucinogenic drug 1-(2,5-dimethoxy-4-iodophenyl)−2-aminopropane. Neuropharmacology. 2007;52:1671–1677. doi: 10.1016/j.neuropharm.2007.03.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Titeler M, Lyon RA, Glennon RA. Radioligand binding evidence implicates the brain 5-HT2 receptor as a site of action for LSD and phenylisopropylamine hallucinogens. Psychopharmacol. (Berl.) 1988;94:213–216. doi: 10.1007/BF00176847. [DOI] [PubMed] [Google Scholar]
  • 44.Glennon RA, Titeler M, McKenney JD. Evidence for 5-HT2 involvement in the mechanism of action of hallucinogenic agents. Life Sci. 1984;35:2505–2511. doi: 10.1016/0024-3205(84)90436-3. [DOI] [PubMed] [Google Scholar]
  • 45.Luethi D, Liechti ME. Monoamine Transporter and Receptor Interaction Profiles in Vitro Predict Reported Human Doses of Novel Psychoactive Stimulants and Psychedelics. Int J. Neuropsychopharmacol. 2018;21:926–931. doi: 10.1093/ijnp/pyy047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Takasaki J, et al. A novel Galphaq/11-selective inhibitor. J. Biol. Chem. 2004;279:47438–47445. doi: 10.1074/jbc.M408846200. [DOI] [PubMed] [Google Scholar]
  • 47.Marwari, S., Kowalski, C. & Martemyanov, K. A. Exploring pharmacological inhibition of Gq/11 as an analgesic strategy. British journal of pharmacology, 10.1111/bph.15935 (2022). [DOI] [PMC free article] [PubMed]
  • 48.Powis G, et al. Selective inhibition of phosphatidylinositol phospholipase C by cytotoxic ether lipid analogues. Cancer Res. 1992;52:2835–2840. [PubMed] [Google Scholar]
  • 49.Estella-Hermoso de Mendoza A, et al. Antitumor alkyl ether lipid edelfosine: tissue distribution and pharmacokinetic behavior in healthy and tumor-bearing immunosuppressed mice. Clin. Cancer Res. 2009;15:858–864. doi: 10.1158/1078-0432.CCR-08-1654. [DOI] [PubMed] [Google Scholar]
  • 50.Verde G, et al. Effectiveness of the dopamine agonist lisuride in the treatment of acromegaly and pathological hyperprolactinemic states. J. Endocrinol. Invest. 1980;3:405–414. doi: 10.1007/BF03349379. [DOI] [PubMed] [Google Scholar]
  • 51.Raffaelli E, Jr., Martins OJ, dos Santos PDFA. Lisuride in cluster headache. Headache. 1983;23:117–121. doi: 10.1111/j.1526-4610.1983.hed2303117.x. [DOI] [PubMed] [Google Scholar]
  • 52.Gillin JC, Pulvirenti L, Withers N, Golshan S, Koob G. The effects of lisuride on mood and sleep during acute withdrawal in stimulant abusers: a preliminary report. Biol. Psychiatry. 1994;35:843–849. doi: 10.1016/0006-3223(94)90019-1. [DOI] [PubMed] [Google Scholar]
  • 53.Schmidt LG, Kuhn S, Smolka M, Schmidt K, Rommelspacher H. Lisuride, a dopamine D2 receptor agonist, and anticraving drug expectancy as modifiers of relapse in alcohol dependence. Prog. Neuropsychopharmacol. Biol. Psychiatry. 2002;26:209–217. doi: 10.1016/S0278-5846(01)00214-7. [DOI] [PubMed] [Google Scholar]
  • 54.Bertino JR, Klee GD, Weintraub W. Cholinesterase, dlysergic acid diethylamide, and 2-bromolysergic acid diethylamide. J. Clin. Exp. Psychopathol. Q Rev. Psychiatry Neurol. 1959;20:218–222. [PubMed] [Google Scholar]
  • 55.Karst M, Halpern JH, Bernateck M, Passie T. The non-hallucinogen 2-bromo-lysergic acid diethylamide as preventative treatment for cluster headache: an open, non-randomized case series. Cephalalgia. 2010;30:1140–1144. doi: 10.1177/0333102410363490. [DOI] [PubMed] [Google Scholar]
  • 56.Schneckloth R, Page IH, Del Greco F, Corcoran AC. Effects of serotonin antagonists in normal subjects and patients with carcinoid tumors. Circulation. 1957;16:523–532. doi: 10.1161/01.CIR.16.4.523. [DOI] [PubMed] [Google Scholar]
  • 57.Faillace LA, Vourlekis A, Szara S. Clinical evaluation of some hallucinogenic tryptamine derivatives. J. Nerv. Ment. Dis. 1967;145:306–313. doi: 10.1097/00005053-196710000-00005. [DOI] [PubMed] [Google Scholar]
  • 58.Glennon RA, Young R, Jacyno JM, Slusher M, Rosecrans JA. DOM-stimulus generalization to LSD and other hallucinogenic indolealkylamines. Eur. J. Pharm. 1983;86:453–459. doi: 10.1016/0014-2999(83)90196-6. [DOI] [PubMed] [Google Scholar]
  • 59.Violin JD, Crombie AL, Soergel DG, Lark MW. Biased ligands at G-protein-coupled receptors: promise and progress. Trends Pharm. Sci. 2014;35:308–316. doi: 10.1016/j.tips.2014.04.007. [DOI] [PubMed] [Google Scholar]
  • 60.Boursier ME, Levin S, Hurst R, Ohana RF. Equilibrium and Kinetic Measurements of Ligand Binding to HiBiT-tagged GPCRs on the Surface of Living Cells. Bio Protoc. 2020;10:e3861. doi: 10.21769/BioProtoc.3861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Boursier ME, et al. The luminescent HiBiT peptide enables selective quantitation of G protein-coupled receptor ligand engagement and internalization in living cells. J. Biol. Chem. 2020;295:5124–5135. doi: 10.1074/jbc.RA119.011952. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Gray JA, Roth BL. Paradoxical trafficking and regulation of 5-HT(2A) receptors by agonists and antagonists. Brain Res Bull. 2001;56:441–451. doi: 10.1016/S0361-9230(01)00623-2. [DOI] [PubMed] [Google Scholar]
  • 63.Van Oekelen D, Luyten WH, Leysen JE. 5-HT2A and 5-HT2C receptors and their atypical regulation properties. Life Sci. 2003;72:2429–2449. doi: 10.1016/S0024-3205(03)00141-3. [DOI] [PubMed] [Google Scholar]
  • 64.Rinaldi-Carmona M, et al. Repeated administration of SR 46349B, a selective 5-hydroxytryptamine2 antagonist, up-regulates 5-hydroxytryptamine2 receptors in mouse brain. Mol. Pharm. 1993;43:84–89. [PubMed] [Google Scholar]
  • 65.Halberstadt AL. Recent advances in the neuropsychopharmacology of serotonergic hallucinogens. Behav. Brain Res. 2015;277:99–120. doi: 10.1016/j.bbr.2014.07.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Carlsson ML. The selective 5-HT2A receptor antagonist MDL 100,907 counteracts the psychomotor stimulation ensuing manipulations with monoaminergic, glutamatergic or muscarinic neurotransmission in the mouse–implications for psychosis. J. Neural Transm. Gen. Sect. 1995;100:225–237. doi: 10.1007/BF01276460. [DOI] [PubMed] [Google Scholar]
  • 67.de la Fuente Revenga M, et al. Tolerance and Cross-Tolerance among Psychedelic and Nonpsychedelic 5-HT2A Receptor Agonists in Mice. ACS Chem. Neurosci. 2022;13:2436–2448. doi: 10.1021/acschemneuro.2c00170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Schmid CL, Bohn LM. Serotonin, but not N-methyltryptamines, activates the serotonin 2A receptor via a ss-arrestin2/Src/Akt signaling complex in vivo. J. Neurosci. 2010;30:13513–13524. doi: 10.1523/JNEUROSCI.1665-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Cunningham, M. J. et al. Pharmacological Mechanism of the Non-hallucinogenic 5-HT(2A) Agonist Ariadne and Analogs. ACS Chem Neurosci, 10.1021/acschemneuro.2c00597 (2022). [DOI] [PMC free article] [PubMed]
  • 70.Vickers SP, et al. Modulation of 5-HT(2A) receptor-mediated head-twitch behaviour in the rat by 5-HT(2C) receptor agonists. Pharm. Biochem Behav. 2001;69:643–652. doi: 10.1016/S0091-3057(01)00552-4. [DOI] [PubMed] [Google Scholar]
  • 71.Dursun SM, Handley SL. Similarities in the pharmacology of spontaneous and DOI-induced head-shakes suggest 5HT2A receptors are active under physiological conditions. Psychopharmacol. (Berl.) 1996;128:198–205. doi: 10.1007/s002130050125. [DOI] [PubMed] [Google Scholar]
  • 72.Cussac D, et al. Agonist-directed trafficking of signalling at serotonin 5-HT2A, 5-HT2B and 5-HT2C-VSV receptors mediated Gq/11 activation and calcium mobilisation in CHO cells. Eur. J. Pharm. 2008;594:32–38. doi: 10.1016/j.ejphar.2008.07.040. [DOI] [PubMed] [Google Scholar]
  • 73.van Niel JC, Schneider J, Tzschentke TM. Efficacy of Full micro-Opioid Receptor Agonists is not Impaired by Concomitant Buprenorphine or Mixed Opioid Agonists/Antagonists - Preclinical and Clinical Evidence. Drug Res (Stuttg.) 2016;66:562–570. doi: 10.1055/s-0042-109393. [DOI] [PubMed] [Google Scholar]
  • 74.Zhou XE, et al. Identification of Phosphorylation Codes for Arrestin Recruitment by G Protein-Coupled Receptors. Cell. 2017;170:457–469 e413. doi: 10.1016/j.cell.2017.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Peng Y, et al. 5-HT2C Receptor Structures Reveal the Structural Basis of GPCR Polypharmacology. Cell. 2018;172:719–730 e714. doi: 10.1016/j.cell.2018.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Xu Z, et al. Structural basis of sphingosine-1-phosphate receptor 1 activation and biased agonism. Nat. Chem. Biol. 2022;18:281–288. doi: 10.1038/s41589-021-00930-3. [DOI] [PubMed] [Google Scholar]
  • 77.Cao C, et al. Signaling snapshots of a serotonin receptor activated by the prototypical psychedelic LSD. Neuron. 2022;110:3154–3167 e3157. doi: 10.1016/j.neuron.2022.08.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Halberstadt AL, Geyer MA. Characterization of the head-twitch response induced by hallucinogens in mice: detection of the behavior based on the dynamics of head movement. Psychopharmacol. (Berl.) 2013;227:727–739. doi: 10.1007/s00213-013-3006-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Molendijk ML, de Kloet ER. Coping with the forced swim stressor: Current state-of-the-art. Behav. Brain Res. 2019;364:1–10. doi: 10.1016/j.bbr.2019.02.005. [DOI] [PubMed] [Google Scholar]
  • 80.Trunnell ER, Carvalho C. The forced swim test has poor accuracy for identifying novel antidepressants. Drug Discov. Today. 2021;26:2898–2904. doi: 10.1016/j.drudis.2021.08.003. [DOI] [PubMed] [Google Scholar]
  • 81.Anderzhanova E, Kirmeier T, Wotjak CT. Animal models in psychiatric research: The RDoC system as a new framework for endophenotype-oriented translational neuroscience. Neurobiol. Stress. 2017;7:47–56. doi: 10.1016/j.ynstr.2017.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Morris SE, et al. Revisiting the seven pillars of RDoC. BMC Med. 2022;20:220. doi: 10.1186/s12916-022-02414-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Besnard J, et al. Automated design of ligands to polypharmacological profiles. Nature. 2012;492:215–220. doi: 10.1038/nature11691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Olsen RHJ, et al. TRUPATH, an open-source biosensor platform for interrogating the GPCR transducerome. Nat. Chem. Biol. 2020;16:841–849. doi: 10.1038/s41589-020-0535-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Klein AK, et al. Investigation of the Structure-Activity Relationships of Psilocybin Analogues. ACS Pharm. Transl. Sci. 2021;4:533–542. doi: 10.1021/acsptsci.0c00176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Sherman W, Day T, Jacobson MP, Friesner RA, Farid R. Novel procedure for modeling ligand/receptor induced fit effects. J. Med. Chem. 2006;49:534–553. doi: 10.1021/jm050540c. [DOI] [PubMed] [Google Scholar]
  • 87.Nikolova V, Cheshmedzhieva D, Ilieva S, Galabov B. Atomic Charges in Describing Properties of Aromatic Molecules. J. Org. Chem. 2019;84:1908–1915. doi: 10.1021/acs.joc.8b02908. [DOI] [PubMed] [Google Scholar]
  • 88.Lomize MA, Pogozheva ID, Joo H, Mosberg HI, Lomize AL. OPM database and PPM web server: resources for positioning of proteins in membranes. Nucleic Acids Res. 2012;40:D370–D376. doi: 10.1093/nar/gkr703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Sastry GM, Adzhigirey M, Day T, Annabhimoju R, Sherman W. Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments. J. Comput Aided Mol. Des. 2013;27:221–234. doi: 10.1007/s10822-013-9644-8. [DOI] [PubMed] [Google Scholar]
  • 90.Jacobson MP, et al. A hierarchical approach to all-atom protein loop prediction. Proteins. 2004;55:351–367. doi: 10.1002/prot.10613. [DOI] [PubMed] [Google Scholar]
  • 91.Greenwood JR, Calkins D, Sullivan AP, Shelley JC. Towards the comprehensive, rapid, and accurate prediction of the favorable tautomeric states of drug-like molecules in aqueous solution. J. Comput Aided Mol. Des. 2010;24:591–604. doi: 10.1007/s10822-010-9349-1. [DOI] [PubMed] [Google Scholar]
  • 92.Schmid N, et al. Definition and testing of the GROMOS force-field versions 54A7 and 54B7. Eur. Biophys. J. 2011;40:843–856. doi: 10.1007/s00249-011-0700-9. [DOI] [PubMed] [Google Scholar]
  • 93.Humphrey W, Dalke A, Schulten K. VMD: visual molecular dynamics. J. Mol. Graph. 1996;14:27–38. doi: 10.1016/0263-7855(96)00018-5. [DOI] [PubMed] [Google Scholar]
  • 94.Halberstadt AL, Geyer MA. Effects of the hallucinogen 2,5-dimethoxy-4-iodophenethylamine (2C-I) and superpotent N-benzyl derivatives on the head twitch response. Neuropharmacology. 2014;77:200–207. doi: 10.1016/j.neuropharm.2013.08.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Halberstadt AL. Automated detection of the head-twitch response using wavelet scalograms and a deep convolutional neural network. Sci. Rep. 2020;10:8344. doi: 10.1038/s41598-020-65264-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Tanaka S, Young JW, Halberstadt AL, Masten VL, Geyer MA. Four factors underlying mouse behavior in an open field. Behav. Brain Res. 2012;233:55–61. doi: 10.1016/j.bbr.2012.04.045. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Peer Review File (3.3MB, pdf)
41467_2023_44016_MOESM3_ESM.pdf (2.9KB, pdf)

Description of Additional Supplementary Files

Supplementary Dataset 1 (350.3KB, xlsx)
Supplementary Dataset 3 (937.2KB, pdf)
Reporting Summary (346.5KB, pdf)
Source Data (290.3KB, xlsx)

Data Availability Statement

All data generated in this study are included in this article, Supplementary Information, and in the Supplementary Data files. Source data are provided with this paper. PDB deposited structural data are as follows: 6WHA 5-HT2A cryo-EM structure in complex with 25CN-NBOH; 6WGT 5-HT2A crystal structure in complex with LSD; 6A94 5-HT2A crystal structure in complex with zotepine; 6A93 5-HT2A crystal structure in complex with risperidone; 6WH4 5-HT2A crystal structure in complex with methiothepin. Source data are provided with this paper.

Custom code is available at github: https://github.com/jruhym/jNotebooksForMD/blob/trunk/pocket-ligandInteractionTimeSeriesHeatmap.ipynb.


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