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Review

Overcoming Depression with 5-HT2A Receptor Ligands

by
Agata Zięba
1,*,
Piotr Stępnicki
1,
Dariusz Matosiuk
1 and
Agnieszka A. Kaczor
1,2
1
Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodźki St., PL-20093 Lublin, Poland
2
School of Pharmacy, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211 Kuopio, Finland
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(1), 10; https://doi.org/10.3390/ijms23010010
Submission received: 18 November 2021 / Revised: 17 December 2021 / Accepted: 18 December 2021 / Published: 21 December 2021
(This article belongs to the Section Biochemistry)
Browse Figures
Review Reports Versions Notes

Abstract

:
Depression is a multifactorial disorder that affects millions of people worldwide, and none of the currently available therapeutics can completely cure it. Thus, there is a need for developing novel, potent, and safer agents. Recent medicinal chemistry findings on the structure and function of the serotonin 2A (5-HT2A) receptor facilitated design and discovery of novel compounds with antidepressant action. Eligible papers highlighting the importance of 5-HT2A receptors in the pathomechanism of the disorder were identified in the content-screening performed on the popular databases (PubMed, Google Scholar). Articles were critically assessed based on their titles and abstracts. The most accurate papers were chosen to be read and presented in the manuscript. The review summarizes current knowledge on the applicability of 5-HT2A receptor signaling modulators in the treatment of depression. It provides an insight into the structural and physiological features of this receptor. Moreover, it presents an overview of recently conducted virtual screening campaigns aiming to identify novel, potent 5-HT2A receptor ligands and additional data on currently synthesized ligands acting through this protein.

Graphical Abstract

1. Introduction

Depression is classified as one of the chronic mental disorders that, according to the World Health Organization data, affects more than 350 million people worldwide [1]. This disorder affects women more often than men and occurs much more frequently in young and elderly people [2]. Many signs may suggest the presence of this condition- the most common somatic symptoms include: persistent sadness or decreased interest in activities considered previously as enjoyable [2], reduced attention, pessimistic view of the future, and overwhelming feeling of guilt or unworthiness. Many patients also experience physical symptoms, such as chronic pain, fatigue, sleep disturbance, or decreased appetite, followed by weight loss and libido decrease [3]. Depending on the severity of the symptoms, patients can be classified as ones suffering from a mild, moderate, or severe form of depression, and, after a diagnosis, they can be advised to start a specific form of treatment [3]. Two main therapeutic strategies include psychological therapy (cognitive behavioral therapy, interpersonal psychotherapy) and pharmacotherapy. Since the probability of the relapse increases with the number of episodes, patients usually undergo prolonged treatment. Unfortunately, no explicit rules determine how long a patient should continue treatment after the first episode of depression [4].
Pharmacotherapy of depression remains an understudied and complex topic since there are many factors involved in the pathomechanism of the disorder. The most widely prescribed medication can be divided into five categories: serotonin reuptake inhibitors (SSRIs), serotonin and norepinephrine reuptake inhibitors (SNRIs), tricyclic antidepressants, monoamine oxidase inhibitors (MAOIs), and atypical antidepressants [5]. The vast majority of the currently applied therapeutics act as direct monoamine concentration modulators or indirect monoamine reuptake inhibitors. Therefore, one can assume that monoamines are one of the most critical substances in the pathomechanism of depression. Medicinal chemistry findings and pharmacological data highlight the therapeutical effectiveness of serotonin concentration modulators in the treatment of mood disorders. Thus, there is a high need to discuss the origins of this neurotransmitter and the importance of the 5-HT2A receptor, since information referring to the rapid antidepressant effect of its ligands have been recently published.
5-hydroxytryptamine is a biogenic amine widely occurring in plants, animals, and the human body that was identified by two independent research groups. An Italian pharmacologist and chemist, Vittorio Erspamer, worked on the histochemical characteristic of enterochromaffin cells, and he discovered that the extract (isolated from examined cells) could contract the intestinal tissue [6]. Almost at the same time, in Cleveland, USA, Maurice M. Rappot, Arda Green, and Irvine Page investigated a vasoconstrictor substance isolated from serum. Finally, it turned out to be the same amine as the one investigated by Erspamer. The substance received the name of serotonin because it was isolated from serum and could affect vascular tone [6,7]. Recently, serotonin has been widely examined due to its numerous pharmacological effects and possible correlation with the pathomechanism of certain diseases and disorders, e.g., depression [8], autism [9], irritable bowel syndrome [10], or schizophrenia [11].
In terms of structure, serotonin resembles adrenaline, noradrenaline, and histamine. The bio-synthesis of this neurotransmitter is a two-step process that involves 5-hydroxylation of a tryptophan catalyzed by the tryptophan hydroxylase. This process is followed by the decarboxylation catalyzed by the 5-hydroxytryptophan decarboxylase [12]. The degradation of this bio-amine is dependent mainly on the activity of an enzyme termed monoamine oxidase (MAO). A graphical representation of both processes is depicted in Figure 1.
Serotonin is an amine whose action is mainly linked with the central nervous system (CNS) effects and its neurons are mainly located in the brain stem raphe nuclei [13]. Fibers terminate throughout the CNS, and the transmitter is released by synaptic vesicles. Neuroimaging studies confirm that the highest density of serotonin neurons can be identified in limbic structures—cingulate, entorhinal, insular, and temporopolar regions, along with the ventral and pallidal regions of the striatum and the medial orbitofrontal cortex [14]. High density of serotonin neurons is also identified in the hippocampus. It is worth highlighting that the aforementioned structures resemble a “social brain”, comprising regions important for social cognition and decision-making [15]. Within the CNS, this substance is released into the synaptic cleft and binds to specific proteins to activate 5-HT receptors located on postsynaptic neurons or serotonin autoreceptors located on the presynaptic part of the neuronal membrane. Serotonin and its receptors are believed to regulate, e.g., sexual behavior [15], mood [16], cognition [17], appetite [18], anxiety [8], aggression [19], the release of other neurotransmitters, addiction development [20], and sleep-wake cycles [21].
One of the most valuable pieces of evidence supporting important role of serotonin in the CNS is “tryptophan depletion”, which refers to the condition identified in patients introduced to the low-in-tryptophan (serotonin precursor) diet. Healthy participants did not show symptoms of diminished mood, whereas recovered patients free of medication showed brief, clinically valid symptoms of depression [22]. Further studies suggested that participants who recovered from depression are more likely to suffer from the disorder symptoms after reducing tryptophan intake than those with solid disorder vulnerability [23,24].
It is worth emphasizing that the major concentration of this substance is present peripherally, produced in the gut and stored in platelets. In addition, there is a small amount of free serotonin identified in plasma. Outside the nervous system and gastrointestinal tract, serotonin was identified in organs, such as the lungs [25,26] and kidneys [27,28]. Its influence on physiological processes, such as bowel motility, ejaculatory latency, or urine control, has been widely described [29]. Moreover, an essential role of serotonin was also demonstrated in the development of the hematopoietic system [30] or regulation of bone mass [31].
This multifunctional neurotransmitter exerts its pharmacological effects via numerous receptors. The first serotonin receptors were identified in 1979 by Peroutka and Snyder via radioligand binding methods and were classified into two distinct categories, 5-HT1 and 5-HT2 [32,33]. Studies conducted by other researchers gave us a better understanding of the structure and classification of these proteins. Current classification distinguishes 14 specialized structures of 5-HT receptors and divides them into seven categories. Apart from the 5-HT3 receptor, all belong to the G protein-coupled receptor (GPCRs) superfamily [32] and act through one of Gαi, Gαq/11, or Gαs pathways.
Table 1 gathers information on various 5-HT receptor subtypes and their canonical classification that refers to the affected signaling pathways.
Out of all 14 subtypes, the 5-HT2A receptor has recently gained a lot of interest. This subject has become a hot topic after the recent publication of the Cryo-EM and X-ray structures of the 5-HT2A receptor complexed with agonist, inverse agonist, and partial agonist, which has brought up a discussion on the pharmacological importance of this subtype’s ligands [34,35,36]. This review aims to characterize 5-HT2A receptors and describe their contribution to depression. Additionally, the emphasis is put on the pharmacological significance of 5-HT2A receptor ligands, in depression symptom mitigation. Finally, a brief overview of the recent application of virtual screening campaigns in the development of novel 5-HT ligands is provided.

2. Studies on Structure of 5-HT2A Receptor

Before the first X-ray structure of a 5-HT2A receptor was developed, information about the structural features of this protein was obtained from in silico simulations. One of the first papers aimed to determine the 3-D structure of subtype 2A of serotonin receptor was published in 1995 [37]. The authors used data derived from the pharmacophore model of serotonin 2A receptor agonists and antagonists to create a fragmental model depicting the examined structures’ binding properties and affinity data. Moreover, a bacteriorhodopsin structure was used to determine a complete model of the three-dimensional (3D) structure belonging to the 5-HT2A receptor.
In 2000, the crystal structure of a Bovine Rhodopsin (PDB ID: 1F88) was determined using X-ray diffraction, and this is considered a starting point in structural studies on GPCRs [38]. In the following years, researchers took advantage of the availability of this first high-resolution GPCR structure and tried to build a homology model based on this template [39]. More recently, these models were replaced by 3D predictions built on the β2-adrenergic receptor template [40,41,42]. Rapid development in this field provided researchers with more three-dimensional experimentally determined protein structures. That gave the opportunity to choose the best template, characterized by the highest level of identity. A recent publication by Jaiteh et al. aimed to examine homology models of 5-HT2A receptors based on distinct X-ray templates. For this study, authors used 14 structures of β1AR, β2AR, D3R, D4R, H1R, 5-HT1BR, 5-HT2BR, 5-HT2CR, M1R, M2R, M3R, and M4R, Rhodopsin, CXCR4 chemokine A2A adenosine, and Cannabinoid 1, characterized by greater and lower identity with a query sequence as molecular modeling templates. Created 3D predictions were submitted into the virtual screening procedure to evaluate whether they can identify known actives among decoys [43]. This procedure contributed to the formulation of new guidelines relevant for GPCR modeling—for templates with >50% identity—, and all should be considered, while those with >30% identity should be evaluated by retrospective virtual screens [43]. While discussing a 3D protein structure determination, it is essential to mention the computational technique that has recently gained a lot of interest. AlphaFold is a deep-learning-based technique that aims to create a three-dimensional representation of a protein without using previously solved protein structures as templates. First, it was introduced in the Critical Assessment of Protein Structure Prediction competition, where it was applied for the T1008 target structure prediction. It has already been shown that, with the AlphaFold approach, it is possible to build reliable and accurate 3D models [44]. Numerous servers have been created that implement the AlphaFold method for the generation of a three-dimensional representation of a protein. “AlphaFold Protein Structure Database” is an example of a commercially available server that gathers protein structures predicted with the use of this method [44].
When it comes to the experimentally determined receptor structures, the first X-ray representations of the 5-HT2A receptor (PDB ID:6A93; 6A94) [45] were determined by Kimura et al. and deposited in Protein Data Bank in 2018. These structures presented an inactive receptor bound to the atypical antipsychotics: risperidone and zotepine, respectively. More recently, another breakthrough in the field of X-ray protein structure determination was made. Two additional X-ray structures of 5-HT2A receptor complexed with hallucinogenic agonist (PDB ID: 6WGT); inverse agonist (PDB ID: 6WH4) and one cryo-EM derived structure of a receptor bound to 25-CN-NBOH (PDB ID: 6WHA) were obtained by Kim et al. [34]. These structures enabled a better understanding of the structure of this GPCR receptor; moreover, they confirmed several in silico derived hypotheses about the structural features of the protein.
The general structure of the 2A subtype of the serotonin receptor resembles other GPCRs and comprises seven transmembrane helices and intracellular amphipathic helix H8. However, two structural features are believed to be extremely important for the proper functioning of a receptor. The first one refers to the bottom hydrophobic cleft located in the ligand-binding pocket. The cleft is surrounded by conserved residues, such as I1633.40 and V3336.45 in the P-I-F motif, and the W3364.68 residue, which is considered an “on-off switch” for the receptor. This receptor also contains a side-extended cavity that connects the orthosteric site and the plasma membrane near the bottom hydrophobic cleft and D1553.32, stabilized by a hydrogen bond with Y3707.43. D1553.32 is another example of a highly conserved residue, present among other GPCRs, essential for the ligand binding [44]. Mutations located in the neighborhood of the D1553.32 residue lead to the loss of function for almost all 5-HT2A ligands. On the other hand, S1593.36 seems to be important for drug binding, as well, since it is involved in the anchoring of the charged terminal amine moiety of 5-HT and other ligands [41]. The previously mentioned side-extended cavity is surrounded by conserved residues located on TM3, TM4, TM5, and the extracellular loop 2. The G2385.42 residue located at the entrance is considered to be essential for the formation of the cavity. Moreover, this glycine residue is considered a feature characteristic only for the 5-HT receptors [45].
5-HT2A receptor activation models suggest that it is capable of creating a wide range of ligand-dependent structural responses [46]. This property is also known as “functional selectivity” and is a common feature among many GPCRs. Functional selectivity, understood as protein-mediated activation of Gαq/11 or pertussis toxin-sensitive Gi/o protein, has been considered in terms of this protein’s interactions with hallucinogenic and non-hallucinogenic agonists. Moreover, the functional selectivity of the 5-HT2A receptor also refers to its connections with the β-arrestin-dependent signaling pathways [47]. Many studies have been performed in order to provide detailed information about this interesting phenomenon, and it turned out that differences in the conformation of binding pocket residues can be identified depending on the type of examined ligand. In silico studies performed by Perez-Aguilar et al. revealed that the second intracellular loop (ICL2) plays a key role in the receptors’ interaction with G-protein. Thus, β-arrestins and distinct ligands affect this loop differently. When 5-HT2AR is bound to the hallucinogen (e.g., LSD), ICL2 loop prefers more outward-upward conformations. On the other hand, when this receptor is complexed to the non-hallucinogen drug or present in an unbound form, the unique conformation of a second loop is not that frequently observed. Such conformation may be regulated by the extent of the interaction between D1723.49 (from the conserved DRY motif, TM3) and H1833.52 (from ICL2) [47]. Recent experimental studies conducted by Kim et al. confirmed that, in the LSD-activated structure of a 5-HT2A receptor, a second extracellular loop forms a lid-like shape that prolongs ligands residence time [34].
Similarly, as in other activated GPCRs, agonist binding leads to a contraction of the extracellular binding pocket and expansion of the intracellular end. That creates additional space for transducers, such as G-proteins or arrestins [34]. Other fragments necessary for the activation have been identified, as well, and are believed to be located in the receptors conserved motifs. Those are an inward shift of residues from the NPxxY motif, rearrangement of R1733.50 residue from the E/DRY motif that breaks the ionic lock formed between R1733.50 and E3186.30. Additionally, modification in the P-I-F motif, involving rotation of the side chain of W3366.48 and subsequent movement of the F3326.44 side chain, is considered essential for the receptor activation and signal transduction [29]. Kim et al. also cautiously examined the binding poses of another 5-HT2A receptor ligand [34]. Interestingly, a 25-CN NBOH, a selective receptor agonist, showed a unique pose in a receptors binding pocket. The 2-hydroxyphenyl moiety of a ligand entered a pocket formed between TM3/TM6 and interacted with the indole ring of W3366.48. That interfered with a large displacement of the W336’s side chain and acted as a pivot for the outward movement of TM6. Moreover, an edge-to-face π–π interaction of a ligand with the previously mentioned residue, hydrogen bond with S1593.36, accommodation by the conserved G3697.42 are unique for 25CN-NBOH binding. Furthermore, these features can be considered a possible reason for its agonistic selectivity toward the 2A subtype of serotonin receptor [34].
On the other hand, examining the 5-HT2A receptor complexes with commonly used antipsychotics, zotepine and risperidone, enabled a better understanding of the structural changes that occur during the antagonist binding. Both antipsychotics create a salt bridge between D1553.32 and a basic nitrogen atom of their molecules. Moreover, their fluorobenzisoxazole ring and benzene ring are located in the bottom hydrophobic cleft, and they interact via CH- π with S1593.36. Additional hydrophobic interactions are formed between I1633.40, F2435.47, F3326.44, and those rings. Some other edge-to-edge interactions with W3366.48 and F3406.52 have been identified as necessary for the ligand binding. Close contacts between ligands and fragments of the P-I-F motif are believed to block the rearrangements of mentioned residues and stabilize the structure in an inactive state.

3. 5-HT2A Receptor Is It the Right Target?

The serotonin 5-HT2A receptor belongs to the A-class of G-protein coupled receptors, which are considered one of the most important therapeutic targets. Human subtype 2A of the 5-HT receptor was cloned in the 1990s and is characterized by 41% and 46% of identity with the 5-HT2B and 5-HT2C subtypes. It is worth highlighting that it shares more than 90% of sequence homology with the rat 5-HT2A receptor, but some significant differences in their functional selectivity, regulation of desensitization, and resensitization can be identified [35]. In humans, this receptor is encoded by the HTR2A gene, located on chromosome 13 (46.83–46.9 Mb) [35]. Out of all 14 subtypes of serotonin receptors, the 5-HT2A is widely abundant across the central nervous system, with the highest concentration in monoaminergic brainstem levels, such as the median raphe nucleus/dorsal raphe nucleus, the locus coeruleus, and ventral tegmental area—structures involved in the regulation of mood. Moreover, this receptor acts as a cognitive process modulator by indirect or direct influence on glutamate release and interaction with other targets, such as 5-HT1A, GABAA, adenosine A1, and OX2 receptors [48,49,50,51]. More recent findings suggest that specific polymorphisms in nucleotides encoding 5-HT2A receptor structure may act as a potential biomarker for antidepressant early response [24]. That confirms the strong connotation between alterations in serotonin concentration and the occurrence of the disorder.
As it was previously mentioned, the 5-HT2AR has been shown to interact with β-arrestin-1 and β-arrestin-2, both in vitro and in vivo [52]. A study conducted by Gelber et al. has shown that β-arrestin-2 knock-out mice, in which 5-HT2A receptors predominantly face the cell surface, were incapable of showing behavioral responses [53]. It would suggest that β-arrestin-2 is involved in the mediation of intracellular trafficking of the 5-HT2A receptors, and cellular events may be necessary in the induction of specific behavioral responses to elevated serotonin concentration [54]. However, in β-arrestin-2-knock-out mice treated with DOI, a preferential 5-HT2A receptor agonist, a desired behavioral effect of head-twitch was obtained [54,55,56]. That suggests β-arrestins are not essential for the induction of DOI-mediated response. Thus, identification of the nature of the ligand seems to be crucial for the determination of the receptor signaling pathway and predicting the physiological response. Nonetheless, it became clear that serotonin 2A receptors coupling to the β-arrestins can lower or elevate GPCR signaling, which means that GPCR signaling may differ depending on the type of ligand.
5-HT2A receptors can regulate their signaling by forming stable hetero- and homodimeric complexes with other GPCRs (e.g., mGluR2, D2-DA Rs). Although the in vivo implications of this property have not been yet determined, this process is considered to affect the binding and coupling properties of the receptor. This intriguing property has been supported by the disappearance of the head-twitch response in mGlu2-knock-out animal models treated with LSD, a preferential 5-HT2A receptor agonist [54,57,58]. Moreover, allosteric receptor-receptor interactions in a 5-HT2A and 5-HT1A receptor complex play a vital role in mood modulation. Activation of the 5-HT2A protomer seems to result in a postjunctional 5-HT1A protomer signaling decrease in the forebrain. Such action is believed to favor the development of depression. Therefore, it is essential to examine these complexes in terms of their impact on disorder modulation [30]. Since this complex was reported as the one capable of disappearing from the pyramidal cell layer (CA-1, CA-2 area) in animals examined 24 h after participation in the forced swim test, it is considered as a dynamic one. A possible explanation of this phenomenon is related to the negative effect of stress, increased glucocorticoid release, alteration in gene transcription, and modification in protein composition, resulting in changes in the density of homo- and heteroreceptor complexes [59].
It is worth highlighting that 5-HT2ARs can form heterocomplexes with oxytocin receptors. Both receptors share a similar distribution pattern and have been identified primarily in cortical and subcortical areas of the forebrain. Oxytocin can create an anxiolytic response through its receptors (OXTRs) located in serotonin neurons [30]. In this heterocomplex, the 5-HT2A protomer possesses a dominating role and decreases the OXTR-mediated Gαq signaling. This interaction may also be involved in the disorder’s pathomechanism since attenuation of oxytocin transmission results in mood and social behavior decrease. There is also evidence that once this mechanism is put into action, which means agonists activate the 5-HT2A protomer, the oxytocin transmission seems to be no longer dependent on the activation of the serotonin receptor component. It seems as if a constitutive activity has been developed, which maintains allosteric inhibition of the oxytocin component [30,60,61]. Additionally, when an antagonist is bound to a 5-HT2A protomer, the OXTR signaling could not be restored.
In this divagation on whether or not 5-HT2A is an important molecular target in the treatment of depression, one should remember that the several decades-long research on pathomechanism and pharmacotherapy of this condition revealed that some receptor subtypes should be blocked (e.g., 5-HT2A, 5-HT2C). In contrast, the others should be activated (e.g., 5-HT1A, 5-HT1B) to obtain the most satisfying therapeutic results. In the case of the serotonin receptor 2A, both agonists and antagonists are believed to possess desired properties potentially valuable in the treatment of mood disorders.
Antagonists of the 5-HT2A receptor represent a significant category of medication, also widely used in the pharmacotherapy of mental diseases. This group is represented by some of the commonly used antipsychotics, such as clozapine, olanzapine, and risperidone, that are pretty efficient in reducing both positive and negative symptoms of schizophrenia [62]. Regarding their antidepressant properties, one explanation of their efficacy is that 5-HT1A and 5-HT2A receptors share a similar distribution pattern. Thus, the generation of nerve impulses is regulated in the opposite manner by 5-HT2A and 5-HT1A receptors. Therefore, a blockade of the 2A subtype of serotonin receptor may enhance the biological activity of the second subtype, which will lead to the opening of the G-protein-coupled inwardly-rectifying potassium channels. Such action will result in inhibition of neuronal firing and hyperpolarization, which is extremely important since limbic networks are hyperactive in major depressive disorder [30]. It is worth highlighting that numerous preclinical and clinical studies confirmed the usefulness of 5-HT2A receptor antagonists in the treatment of depression; Pandey et al. evaluated the effect of 5-HT2A receptor antagonist-BIP-1 administration. In both acute and sustained administration, this substance caused an antidepressant effect in animal models of depression [63]. Such findings confirmed the effectiveness of these compounds in depression symptom mitigation. Moreover, when serotonin 2A receptor antagonists are co-administered with SSRIs, their antidepressant activity in patients suffering from major depression increases significantly [64,65]. Examination of selective 5-HT2A receptor antagonist–M100907, revealed that it also elevates the pharmacological response to SSRIs in the study termed the differential reinforcement of low rate 72 s schedule. However, improvement in executive functions is not a result of the SSRI-induced 5-HT concentration elevation, but it is correlated with the blockade of the 5-HT2A receptor itself [66]. A similar, rapid antidepressant effect was also observed in treatment-resistant patients medicated with monoamine oxidase inhibitors when combined with 5-HT2A receptor antagonists [67].
On the other hand, a group of 5-HT2A receptor agonists has been reported to be helpful in the treatment of various types of depression. This category of ligands comprises, e.g., psilocybin, 25-NBOH, and mexamine. Recent studies emphasize the importance of 5-HT2A receptor agonists in the therapy of treatment-resistant forms of the disorder. The exact mechanism of their action remains unknown. However, according to more recent fMRI studies, psychedelics-psilocybin, in particular, decrease the blood flow in certain brain regions partially overlapping default mode network and fronto-parieto-termporal network correlated with spontaneous behavior and introspection. Psilocybin studies also revealed that this compound enhances signaling and disrupts the functional connectivity within limbic system neurons. Recent studies suggest that psychedelics promote functional and structural plasticity in prefrontal cortical neurons. Common hallucinogens promote the growth of neurons and dendric spines, leading to the so-called “brain reset” and the rapid antidepressant effect [68]. Projects aiming to examine the effects of psychedelics on mood, social cognition, and anxiety revealed that acute LSD administration reduces the activity of the left amygdala and the right part of the prefrontal cortex in healthy subjects exposed to the presentation of fearful faces. On the other hand, psilocybin regulates the threat-induced signaling from the amygdala to the primary visual cortex. In other studies, the same substance was found to decrease the connectivity between the amygdala and striatum in patients submitted into the happy face discrimination test. However, the study aiming to identify depressed-patients amygdala response to fearful, happy, or neutral stimuli showed an increased response to the fearful and happy face after administering a single dose of psilocybin. This suggests that the discussed substance does not disrupt the emotional response, but it can help patients confront their fears in the controlled environment. Other studies investigating the therapeutic value of psilocybin and other psychedelics suggest that they reduce the feelings associated with negative social interactions, such as rejection; increase the personal meaning to previously meaningless objects; and activate the visual regions of a brain comparable to the images experienced with opened eyes. All these findings bring hope that, when combined with professional psychological treatment, psychedelics can help cure thousands of patients suffering from depression, phobia, trauma, etc. [69].
In the last decade, the quantity of papers focusing on this field is growing; a study published by Hesselgrave et al. describes a trial conducted on chronically stressed animal models, which were medicated with a single injection of psilocybin. The administered dose reversed anhedonic responses and restored synaptic strength of excitatory neurons located in cortico-mesolimbic brain regions. In addition, neither electrophysiological nor behavioral responses to psilocybin injection were canceled by pretreatment with ketanserin (the 5-HT2A/2C antagonist) [70]. Furthermore, a study released by Raval et al. evaluated the effect of psilocybin on the structure of a pig’s brain. Animals were divided into two groups, out of which only one received the agonist-containing injection. Half of the representatives from both groups were euthanized on the first day post-treatment, whereas the second half was euthanized a week post-injection. Post-mortem examination of animals’ brains revealed that, in the individuals euthanized one day post-psilocybin injection, the hippocampal density of synaptic vesicle protein increased by 4.42%, and the density of 5-HT2A receptors located in the hippocampus and prefrontal cortex decreased. In the case of animals euthanized 7-days post injections, in their brains, there was a significant increase in SV2A density in both prefrontal cortex and hippocampus, whereas no differences in density of 5-HT2A receptors were discovered. These results suggest that psilocybin causes persistent synaptogenesis and a noticeable decline in 5-HT2A receptor density, which may be correlated with its antidepressant properties [71].
A systematic review published by Romeo et al. gathered information from various clinical trials performed between 1990–2020, which confirmed the effectiveness of psychedelics in the treatments of drug-resistant depression, as well as in other psychiatric and addictive disorders. Moreover, presented data indicated that the intensity of the acute psychedelic administration could be correlated with the effectiveness of symptom mitigation in patients suffering from treatment-resistant depression [72]. In this review, authors also determined some factors that could negatively affect the effectiveness of pharmacotherapy; it turned out that the number of unsuccessful therapies patients went through contributed to a poorer prognosis of the potential recovery. The authors highlighted the importance of non-pharmacological factors (e.g., environment in which the therapy was conducted or persons’ expectations) in the efficacy of psychedelics treatment. Moreover, they suggested several potential mechanisms through which psychedelics could act their pharmacological effects [73]. Another meta-analysis published by Romeo et al. presented evidence on kinetics-related aspects of psychedelic treatment in the mitigation of depressive symptoms. Eight studies with a significant decrease in depressive symptoms were evaluated. In these trials, a temporary heart rate, blood systolic, and diastolic pressure were observed; however, no severe adverse reactions were reported. This confirms the safety of 5-HT2A receptor agonists in the treatment of depression [73].

4. Novel 5-HT2A Ligands as Antidepressant Agents–Agonists Emerge from the Shadows of Antagonists?

Searching the medicinal chemistry literature for the reports of novel ligands of serotonin 5-HT2A receptor with antidepressant-like properties, it will be readily seen that the interest is majorly focused on antagonists of this target. There is a considerable number of scientific papers on newly designed 5-HT2A antagonists with antidepressant potential in the more recent five years. Here are given a few examples of such reports. Kim et al. proposed compounds based on phthalazinone scaffold, acting as 5-HT2A and 5-HT2C antagonists, with an affinity for serotonin transporter [74]. Another research group designed a novel arylpropylamine derivative as an inhibitor of serotonin and noradrenaline reuptake with an antagonist activity toward the 5-HT2A receptor [75]. Evans et al. synthesized thioadatanserin, an analog of adatanserin, and its dialkylated derivatives, antagonists of 5-HT2A, and partial agonists of 5-HT1A receptors [76].
In this part, we emphasize the development of 5-HT2A agonists, as an insufficiently investigated, yet promising agents for the development of new therapies of depression. Agonists of the 5-HT2A receptor are suggested to be capable of producing a long-lasting therapeutic effect in depressive disorders by leading to the increase in the neuronal growth in the anterior structures of the brain, such as the prefrontal cortex [68]. Affecting the plasticity of the neural circuits reverses the pathological changes within these structures, thus exerting a more sustained therapeutic effect than just reducing the symptoms of the disorder [77]. However, due to the fact that activating the 5-HT2A receptor is frequently associated with the occurrence of hallucinogenic effects, this field in drug discovery is still underexplored. The reports of novel promising drug candidates against depression in the group of 5-HT2A agonists are very limited. In fact, as a result of searching for articles from the most recent five years on novel agonists of the being discussed receptor in the PubMed database (using Mesh Terms: ‘5 HT2A agonist’ and ‘agents, antidepressive’ or ‘depression’), only one record is returned. The publication by Cameron et al. reveals novel non-hallucinogenic compounds, acting as a potent 5-HT2A agonists, which are analogs of a psychedelic, ibogaine (Figure 2), derived from the plant Tabernanthe iboga. In order to elucidate which part of the ibogaine chemical structure is responsible for promoting neural growth, the research group performed function-oriented synthesis. Subsequent deletion of one of the key structural feature of the compound allowed for definition of the pharmacophore model for psychoplastogenic properties of ibogaine. It turned out that the analogs without tetrahydroazepine moiety did not stimulate neuronal growth, but those with removed isoquinuclidine and retained tetrahydroazepine ring remained active. One of the derivatives, ibogainalog (IBG) (Figure 2), exhibited comparable psychoplastogenic activity to ibogaine; thus, it was chosen for further optimization [78].
In the next step, the authors attempted to design ibogaine analog devoid of hallucinogenic properties. They relied on the fact that the agonist of 5-HT2A receptor, 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT), is a potent hallucinogen, but its analog with methoxy substituent shifted from the position five to six does not show such activity. Transferring this structural modification to ibogainalog (IBG) resulted in obtaining the derivative tabernanthalog (TBG) (Figure 2), named based on similarity to another alkaloid found in Tabernanthe iboga–tabernanthine (Figure 2), with the 5-methoxyindole moiety replaced with 6-methoxyindole fragment. In order to evaluate the potential hallucinogenic activity of IBG and TBG, the head-twitch response test, a popular test used in the assessment of the activation of 5-HT2A receptor, was performed. The results indicated that IBG displays reduced hallucinogenic properties, while TBG shows a lack of this effect when compared to the 5-MeO-DMT used as a positive control. These findings confirmed the hypothesis that the slight modification of the methoxy substituent position may result in obtaining non-hallucinogenic analogs of ibogaine. Another advantage of the derivatives deprived of isoquinuclidine fragment over ibogaine is their reduced lipophilicity and, therefore, lower risk of inducing toxic effects, particularly cardiotoxicity. Ibogaine has high tendency to accumulate in the adipose tissue due to its high lipophilicity and, hence, contributes to the toxic effects on the cardiac system through the inhibition of hERG potassium channels [79,80]. Treatment with both IBG and TBG does not lead to arrhythmias and causes significantly fewer malformations and deaths in the zebrafish model comparing to ibogaine [78]. Not without significance is the simplicity of the synthesis of IBG and TBG, which both can be produced in one-step synthesis on a large scale. In contrast, known routes of ibogaine synthesis consist of several steps and result in very low overall yields [81].
Subsequently, Cameron et al. assessed the effect of TBG (as it displayed a better safety profile than IBG) on dendritic growth. They proved that the treatment with TBG increases dendritic arborization of the rat cortical neurons. This effect is suggested to be associated with the activation of 5-HT2A receptor since the pretreatment with ketanserin, a 5-HT2A receptor antagonist, suppresses this response. Additionally, TBG leads to an increase in density of dendritic spines, with the dynamics of spine formation comparable with 2,5-dimethoxy-4-iodoamphetamine (DOI), the hallucinogenic agonist of the 5-HT2A receptor.
As already mentioned, the antidepressant effect of 5-HT2A agonists is believed to emerge from the improvement of neural plasticity mediated by the activation of this receptor. In order to evaluate TBG as a potential antidepressant and to compare its activity with antidepressant, ketamine, a forced swim test was performed. On the first day of the experiment, a pre-test had been performed, and, 24 h after, the tested compounds were administered. Then, the forced swim test was performed 24 h and seven days after injection of the substances. Both TBG and ketamine reduced the time of immobility to a significant extent 24 h after administration, while, after one week, the effect of ketamine seemed more sustained compared with TBG. As expected, the antidepressant effect of TBG was blocked by the treatment with ketanserin, a 5-HT2A antagonist, which confirms the role of 5-HT2A receptor activation in producing the antidepressant-like responses. The effect of TBG on other behaviors related to depressive disorders should be evaluated in further studies, as pointed out by the authors [78]. Nevertheless, it may be concluded that these findings will serve as an incentive to give more consideration to the activation 5-HT2A receptor as a new strategy to combat depression.

5. In Silico Methods Aiming to Identify Novel 5-HT2A Receptor Ligands

A wide variety of physiological connotations made the 2A subtype of serotonin receptor an important biological target, especially useful in the treatment of mental diseases. Recently, in silico methods are inevitable in the process of drug development. These techniques allow examination and integration of data from various sources. One of the most significant advantages of in silico drug discovery is reducing the overall costs and efforts related to extensive research that have to be carried before a specific medication can be introduced to the market. Therefore, these techniques are widely applied in the studies aiming to develop molecules characterized by a high affinity to a specific molecular target, with minimal side effects and promising pharmacokinetic parameters (ADME). Therefore, a combination of ligand- and structure-based approaches can be implemented to obtain reliable predictions useful in the identification of novel drug-like molecules [82]. In this part, we would like to focus on virtual screening approach, that sheds a light of hope on the rapid development of new, potentially valuable for the treatment of depression medication.
Virtual screening campaigns belong to the computational methods, which automatically explore large libraries of drug-like molecules to identify compounds most likely to possess a desired pharmacological profile. This strategy can be visualized as a funnel that aims to select the most promising molecules to be submitted into in vitro assays [83]. Depending on the type of available information, two major approaches can be distinguished in this context [83]. The first one-ligand-based virtual screening takes advantage of a dataset collecting compounds with confirmed activity toward a desired molecular target. This approach is applied when the structure of the molecular target is unknown or desired protein was resolved in the apo form [84]. Usually, this technique utilizes a pharmacophore model based on biologically evaluated active compounds that provide indirect information about interactions of ligands with the molecular targets binding site. The fundament of shape-based similarity screening refers to the rule stating that molecules possessing similar chemistry and structure to the active templates carry a significant probability of sharing a desired pharmacological profile. Therefore, ligands differing from the query sequence are more likely to be rejected during the virtual screening procedure [85,86]. Many research groups have already implemented this strategy, including Zhang et al., who examined a group of 35 derivatives possessing antagonistic activity toward D2 and 5-HT2A receptors. They used these compounds to create a QSAR model to evaluate the structure-activity relationships of these molecules. Moreover, researchers constructed a pharmacophore model depicting features most important for ligand binding. Later, this pharmacophore model was utilized in the screening study, performed on the ZINC12 database with UNITY Flex software. After final refinement and filtering, four compounds were selected for in silico molecular optimization and basic pharmacokinetics properties prediction [87]. An interesting approach was also used by Kumar et al., who utilized 2D similarity, 3D dissimilarity, and a fusion of 2D/3D similarity data and filtered the ZINC database. Retrieved complexes were docked to the structure of the 5-HT2A receptor and evaluated with the use of molecular dynamics (MD) methods. This experiment resulted in the identification of several residues important for the ligand binding and 287 potential 5-HT2A receptor antagonists that may be submitted into additional experimental validation [88].
The latter technique, known as structure-based virtual screening (SBVS), takes advantage of a currently available 3D structure of a 5-HT2A receptor or any other biological target. It aims to find the best interaction mode between the target and the compound, and it applies different scoring functions to estimate the possibility of a stable protein-ligand complex formation [83]. In this procedure, screened ligands are sorted according to the calculated affinity to the receptor’s binding site, allowing us to identify the compounds with the most promising pharmacological activity [89]. The biggest drawback of this approach is usually related to choosing the best scoring function in order to identify a ligand in the target’s binding site, as well as the development of an appropriate scoring function to estimate the strength of the non-covalent interaction occurring between the analyzed compounds and molecular target [83].
A work recently published by Wang et al. outlined results obtained from detailed inspection of a 5-HT2A receptor and its structure application in the identification of the novel 5-HT2A receptor antagonists. The structure-based pharmacophore model was developed in LigandScout 4.2 and contained features essential for the proper binding of the ligand, such as information on the desired localization of the hydrogen bond acceptors, aromatic rings, etc. The retrieved model was used in the Schrödinger’s suite for the virtual screening of TCMNP and FDA databases. Returned hits were evaluated and compared based on their docking scores, binding modes, free energies, and their MD simulation performances–that led to the identification of three potential HITS. The toxicity and basic pharmacokinetic properties of these compounds were also evaluated [90]. Staroń et al. published a paper describing a study attempting to identify novel 5-HT6/5-HT2A ligands. In this case, researchers followed the “one-drug–multiple targets” methodology and used 2D fingerprint screening to obtain 5-HT6R ligands. Later, these compounds were evaluated using in silico methodology to determine basic ADMET properties. The remaining compounds were submitted into 3D pharmacophore screening and flexible docking study to consequently narrow the set of examined hits. Chosen molecules were evaluated with experimental techniques in order to examine their affinity toward desired molecular targets [91].
Gandhimathi et al. also performed structure-based virtual screening to identify novel ligands acting as 2A subtype receptor agonists or antagonists. For this purpose, he took advantage of the X-ray structure of a β2-adrenergic receptor (PDB ID: 3SN6) to create two homology models representing both the active and inactive state of the protein. Created models were used for the virtual screening, performed using a Zinc database. Additional criteria were implemented to narrow the retrieved compound set, such as compatibility with Lipinski’s rule of five. Hits were introduced to the induced-fit docking procedure, and obtained docking poses were compared with well-established ones. This study identified 15 molecules that were believed to possess desired 5-HT2A agonistic or antagonistic features [41].
Thus, it can be observed that virtual screening has already been successfully implemented in the development of potentially valuable ligands.

6. Conclusions

In this review, we summarized fundamental knowledge on the structure and functions of the 5-HT2A receptor. Moreover, we have discussed its numerous connotations with the pathomechanism of depression and enumerated a plethora of reasons confirming its potential usefulness in the treatment of this disorder. Analysis of the collected data ensured that both agonists and antagonists of the 5-HT2A receptor are important in the treatment of mood disorders.
This review also highlighted the role of computational techniques in the development of novel therapeutic agents. Out of all techniques, virtual screening campaigns seem to provide promising results in the identification of novel medication acting through the desired target or possessing a desired structural pattern. However, there is still an observable discrepancy between the quantity of experimental data corresponding to antagonists and agonists of this receptor. Thus, we believe that information presented in this work will be an incentive to look for novel molecules possessing agonistic activity toward the 2A serotonin receptor.
With all this information taken into account, the 5-HT2A receptor seems to be an attractive molecular target, and novel ligands acting through this protein may be helpful in the treatment of depressive disorders.

Author Contributions

A.Z. and A.A.K. contributed to the study conception and design. P.S. wrote the 4th part of this manuscript. A.Z. wrote the remaining sections of this review. P.S., D.M., and A.A.K. critically read the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

The research was funded under DS33 grant from the Medical University of Lublin (to A.A.K.).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

5-HTSerotonin, 5-hydroxytryptamine
5HT1BRSerotonin 5-HT1B receptor
5HT2BRSerotonin 5-HT2B receptor
5HT2CRSerotonin 5-HT2C receptor
25-CN-NBOH4-(2-((2-hydroxybenzyl)amino)ethyl)-2,5-dimethoxybenzonitrile
A2AAlpha-2A adrenergic receptor
β1ARBeta-1A adrenergic receptor
β2ARBeta-2A adrenergic receptor
D3RDopamine D3 receptor
D4RDopamine D4 receptor
DOI2,5-dimethoxy-4-iodoamphetamine
H1RHistamine H1 receptor
M1RMuscarinic acetylcholine M1 receptor
M2RMuscarinic acetylcholine M2 receptor
M3RMuscarinic acetylcholine M3 receptor
M4RMuscarinic acetylcholine M4 receptor
MDMolecular dynamics
mGluR2Metabotropic glutamate receptor 2
TCMNPTraditional Chinese Medicine Systems Pharmacology database
QSARQuantitative-structure-activity relationship

References

  1. Ervin, R.B. Prevalence of Metabolic Syndrome Among Adults 20 Years of Age and Over, by Sex, Age, Race and Ethnicity, and Body Mass Index: United States, 2003–2006. Natl. Health Stat. Rep. 2009, 5, 1–7. [Google Scholar]
  2. Moreno-Agostino, D.; Wu, Y.-T.; Daskalopoulou, C.; Hasan, M.T.; Huisman, M.; Prina, M. Global Trends in the Prevalence and Incidence of Depression: A Systematic Review and Meta-Analysis. J. Affect. Disord. 2021, 281, 235–243. [Google Scholar] [CrossRef] [PubMed]
  3. Gautam, S.; Jain, A.; Gautam, M.; Vahia, V.N.; Grover, S. Clinical Practice Guidelines for the Management of Depression. Indian J. Psychiatry 2017, 59, S34–S50. [Google Scholar] [CrossRef] [PubMed]
  4. Duval, F.; Lebowitz, B.D.; Macher, J.-P. Treatments in Depression. Dialogues Clin. Neurosci. 2006, 8, 191–206. [Google Scholar]
  5. Celada, P.; Puig, M.V.; Amargós-Bosch, M.; Adell, A.; Artigas, F. The Therapeutic Role of 5-HT1A and 5-HT2A Receptors in Depression. J. Psychiatry Neurosci. 2004, 29, 252–265. [Google Scholar] [PubMed]
  6. Sirek, A.; Sirek, O.V. Serotonin: A Review. Can. Med. Assoc. J. 1970, 102, 846–849. [Google Scholar] [PubMed]
  7. Rapport, M.M.; Green, A.A.; Page, I.H. Crystalline Serotonin. Science 1948, 108, 329–330. [Google Scholar] [CrossRef]
  8. Baldwin, D.; Rudge, S. The Role of Serotonin in Depression and Anxiety. Int. Clin. Psychopharmacol. 1995, 9 (Suppl. S4), 41–45. [Google Scholar] [CrossRef]
  9. Muller, C.L.; Anacker, A.M.J.; Veenstra-VanderWeele, J. The Serotonin System in Autism Spectrum Disorder: From Biomarker to Animal Models. Neuroscience 2016, 321, 24–41. [Google Scholar] [CrossRef] [Green Version]
  10. Crowell, M.D. Role of Serotonin in the Pathophysiology of the Irritable Bowel Syndrome. Br. J. Pharmacol. 2004, 141, 1285–1293. [Google Scholar] [CrossRef]
  11. Bleich, A.; Brown, S.L.; Kahn, R.; van Praag, H.M. The Role of Serotonin in Schizophrenia. Schizophr. Bull. 1988, 14, 297–315. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Clark, C.T.; Weissbach, H.; Udenfriend, S. 5-Hydroxytryptophan Decarboxylase: Preparation and Properties. J. Biol. Chem. 1954, 210, 139–148. [Google Scholar] [CrossRef]
  13. Gaspar, P.; Cases, O.; Maroteaux, L. The Developmental Role of Serotonin: News from Mouse Molecular Genetics. Nat. Rev. Neurosci. 2003, 4, 1002–1012. [Google Scholar] [CrossRef]
  14. Mohammad-Zadeh, L.F.; Moses, L.; Gwaltney-Brant, S.M. Serotonin: A Review. J. Vet. Pharmacol. Ther. 2008, 31, 187–199. [Google Scholar] [CrossRef]
  15. Siegel, J.Z.; Crockett, M.J. How Serotonin Shapes Moral Judgment and Behavior. Ann. N. Y. Acad. Sci. 2013, 1299, 42–51. [Google Scholar] [CrossRef] [Green Version]
  16. Jenkins, T.A.; Nguyen, J.C.D.; Polglaze, K.E.; Bertrand, P.P. Influence of Tryptophan and Serotonin on Mood and Cognition with a Possible Role of the Gut-Brain Axis. Nutrients 2016, 8, 56. [Google Scholar] [CrossRef]
  17. Švob Štrac, D.; Pivac, N.; Mück-Šeler, D. The Serotonergic System and Cognitive Function. Transl. Neurosci. 2016, 7, 35–49. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Curzon, G. Serotonin and Appetite. Ann. N. Y. Acad. Sci. 1990, 600, 521–530, discussion 530–531. [Google Scholar] [CrossRef]
  19. Seo, D.; Patrick, C.J.; Kennealy, P.J. Role of Serotonin and Dopamine System Interactions in the Neurobiology of Impulsive Aggression and Its Comorbidity with Other Clinical Disorders. Aggress. Violent Behav. 2008, 13, 383–395. [Google Scholar] [CrossRef] [Green Version]
  20. Kirby, L.; Zeeb, F.; Winstanley, C. Contributions of Serotonin in Addiction Vulnerability. Neuropharmacology 2011, 61, 421–432. [Google Scholar] [CrossRef] [Green Version]
  21. Morin, L.P. Serotonin and the Regulation of Mammalian Circadian Rhythmicity. Ann. Med. 1999, 31, 12–33. [Google Scholar] [CrossRef]
  22. Smith, K.; Fairburn, C.; Cowen, P. Relapse of Depression after Rapid Depletion of Tryptophan. Lancet 1997, 349, 915–919. [Google Scholar] [CrossRef]
  23. Ruhé, H.G.; Mason, N.S.; Schene, A.H. Mood Is Indirectly Related to Serotonin, Norepinephrine and Dopamine Levels in Humans: A Meta-Analysis of Monoamine Depletion Studies. Mol. Psychiatry 2007, 12, 331–359. [Google Scholar] [CrossRef] [Green Version]
  24. Sun, Y.; Tao, S.; Tian, S.; Shao, J.; Mo, Z.; Wang, X.; Wang, H.; Zhao, P.; Chen, Z.; Yao, Z.; et al. Serotonin 2A Receptor Polymorphism Rs3803189 Mediated by Dynamics of Default Mode Network: A Potential Biomarker for Antidepressant Early Response. J. Affect. Disord. 2021, 283, 130–138. [Google Scholar] [CrossRef]
  25. Pirina, P.; Zinellu, E.; Paliogiannis, P.; Fois, A.G.; Marras, V.; Sotgia, S.; Carru, C.; Zinellu, A. Circulating Serotonin Levels in COPD Patients: A Pilot Study. BMC Pulm. Med. 2018, 18, 167. [Google Scholar] [CrossRef] [PubMed]
  26. Castro, E.C.C.; Sen, P.; Parks, W.T.; Langston, C.; Galambos, C. The Role of Serotonin Transporter in Human Lung Development and in Neonatal Lung Disorders. Can. Respir. J. 2017, 2017, 9064046. [Google Scholar] [CrossRef] [Green Version]
  27. Kaur, G.; Krishan, P. Understanding Serotonin 5-HT2A Receptors-Regulated Cellular and Molecular Mechanisms of Chronic Kidney Diseases. Ren. Replace. Ther. 2020, 6, 25. [Google Scholar] [CrossRef]
  28. Sole, M.J.; Madapallimattam, A.; Baines, A.D. An Active Pathway for Serotonin Synthesis by Renal Proximal Tubules. Kidney Int. 1986, 29, 689–694. [Google Scholar] [CrossRef] [Green Version]
  29. Berger, M.; Gray, J.A.; Roth, B.L. The Expanded Biology of Serotonin. Annu. Rev. Med. 2009, 60, 355–366. [Google Scholar] [CrossRef] [Green Version]
  30. Lv, J.; Liu, F. The Role of Serotonin beyond the Central Nervous System during Embryogenesis. Front. Cell. Neurosci. 2017, 11, 74. [Google Scholar] [CrossRef] [PubMed]
  31. Frost, M.; Andersen, T.E.; Yadav, V.; Brixen, K.; Karsenty, G.; Kassem, M. Patients with High-Bone-Mass Phenotype Owing to Lrp5-T253I Mutation Have Low Plasma Levels of Serotonin. J. Bone Miner. Res. 2010, 25, 673–675. [Google Scholar] [CrossRef]
  32. McCorvy, J.D.; Roth, B.L. Structure and Function of Serotonin G Protein-Coupled Receptors. Pharmacol. Ther. 2015, 150, 129–142. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Borroto-Escuela, D.O.; Ambrogini, P.; Chruścicka, B.; Lindskog, M.; Crespo-Ramirez, M.; Hernández-Mondragón, J.C.; Perez de la Mora, M.; Schellekens, H.; Fuxe, K. The Role of Central Serotonin Neurons and 5-HT Heteroreceptor Complexes in the Pathophysiology of Depression: A Historical Perspective and Future Prospects. Int. J. Mol. Sci. 2021, 22, 1927. [Google Scholar] [CrossRef]
  34. Kim, K.; Che, T.; Panova, O.; DiBerto, J.F.; Lyu, J.; Krumm, B.E.; Wacker, D.; Robertson, M.J.; Seven, A.B.; Nichols, D.E.; et al. Structure of a Hallucinogen-Activated Gq-Coupled 5-HT2A Serotonin Receptor. Cell 2020, 182, 1574–1588.e19. [Google Scholar] [CrossRef]
  35. John Jayakumar, J.A.K.; Panicker, M.M.; Basu, B. Serotonin 2A (5-HT2A) Receptor Affects Cell–Matrix Adhesion and the Formation and Maintenance of Stress Fibers in HEK293 Cells. Sci. Rep. 2020, 10, 21675. [Google Scholar] [CrossRef] [PubMed]
  36. Raote, I.; Bhattacharya, A.; Panicker, M.M. Serotonin 2A (5-HT2A) Receptor Function: Ligand-Dependent Mechanisms and Pathways. In Serotonin Receptors in Neurobiology; Chattopadhyay, A., Ed.; Frontiers in Neuroscience; CRC Press/Taylor & Francis: Boca Raton, FL, USA, 2007; ISBN 978-0-8493-3977-6. [Google Scholar]
  37. Höltje, H.D.; Jendretzki, U.K. Construction of a Detailed Serotoninergic 5-HT2a Receptor Model. Arch. Pharm. 1995, 328, 577–584. [Google Scholar] [CrossRef] [PubMed]
  38. Palczewski, K.; Kumasaka, T.; Hori, T.; Behnke, C.A.; Motoshima, H.; Fox, B.A.; Trong, I.L.; Teller, D.C.; Okada, T.; Stenkamp, R.E.; et al. Crystal Structure of Rhodopsin: A G Protein-Coupled Receptor. Science 2000, 289, 739–745. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Chambers, J.J.; Nichols, D.E. A Homology-Based Model of the Human 5-HT2A Receptor Derived from an in Silico Activated G-Protein Coupled Receptor. J. Comput. Aided Mol. Des. 2002, 16, 511–520. [Google Scholar] [CrossRef]
  40. Duan, X.; Zhang, M.; Zhang, X.; Wang, F.; Lei, M. Molecular Modeling and Docking Study on Dopamine D2-like and Serotonin 5-HT2A Receptors. J. Mol. Graph. Model. 2015, 57, 143–155. [Google Scholar] [CrossRef]
  41. Gandhimathi, A.; Sowdhamini, R. Molecular Modelling of Human 5-Hydroxytryptamine Receptor (5-HT2A) and Virtual Screening Studies towards the Identification of Agonist and Antagonist Molecules. J. Biomol. Struct. Dyn. 2016, 34, 952–970. [Google Scholar] [CrossRef]
  42. Yap, B.K.; Buckle, M.J.C.; Doughty, S.W. Homology Modeling of the Human 5-HT1A, 5-HT2A, D1, and D2 Receptors: Model Refinement with Molecular Dynamics Simulations and Docking Evaluation. J. Mol. Model. 2012, 18, 3639–3655. [Google Scholar] [CrossRef]
  43. Jaiteh, M.; Rodríguez-Espigares, I.; Selent, J.; Carlsson, J. Performance of Virtual Screening against GPCR Homology Models: Impact of Template Selection and Treatment of Binding Site Plasticity. PLoS Comput. Biol. 2020, 16, e1007680. [Google Scholar] [CrossRef] [Green Version]
  44. Jumper, J.; Evans, R.; Pritzel, A.; Green, T.; Figurnov, M.; Ronneberger, O.; Tunyasuvunakool, K.; Bates, R.; Žídek, A.; Potapenko, A.; et al. Highly Accurate Protein Structure Prediction with AlphaFold. Nature 2021, 596, 583–589. [Google Scholar] [CrossRef]
  45. Kimura, K.T.; Asada, H.; Inoue, A.; Kadji, F.M.N.; Im, D.; Mori, C.; Arakawa, T.; Hirata, K.; Nomura, Y.; Nomura, N.; et al. Structures of the 5-HT2A Receptor in Complex with the Antipsychotics Risperidone and Zotepine. Nat. Struct. Mol. Biol. 2019, 26, 121–128. [Google Scholar] [CrossRef] [PubMed]
  46. Smith, J.S.; Lefkowitz, R.J.; Rajagopal, S. Biased Signalling: From Simple Switches to Allosteric Microprocessors. Nat. Rev. Drug Discov. 2018, 17, 243–260. [Google Scholar] [CrossRef]
  47. Perez-Aguilar, J.M.; Shan, J.; LeVine, M.V.; Khelashvili, G.; Weinstein, H. A Functional Selectivity Mechanism at the Serotonin-2A GPCR Involves Ligand-Dependent Conformations of Intracellular Loop 2. J. Am. Chem. Soc. 2014, 136, 16044–16054. [Google Scholar] [CrossRef] [Green Version]
  48. Feng, J.; Cai, X.; Zhao, J.; Yan, Z. Serotonin Receptors Modulate GABA(A) Receptor Channels through Activation of Anchored Protein Kinase C in Prefrontal Cortical Neurons. J. Neurosci. 2001, 21, 6502–6511. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Kohen, D.P.; Mahowald, M.W.; Rosen, G.M. Sleep-Terror Disorder in Children: The Role of Self-Hypnosis in Management. Am. J. Clin. Hypn. 1992, 34, 233–244. [Google Scholar] [CrossRef]
  50. Amargós-Bosch, M.; Bortolozzi, A.; Puig, M.V.; Serrats, J.; Adell, A.; Celada, P.; Toth, M.; Mengod, G.; Artigas, F. Co-Expression and In Vivo Interaction of Serotonin1A and Serotonin2A Receptors in Pyramidal Neurons of Prefrontal Cortex. Cereb. Cortex 2004, 14, 281–299. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Marek, G.J. Activation of Adenosine1 (A1) Receptors Suppresses Head Shakes Induced by a Serotonergic Hallucinogen in Rats. Neuropharmacology 2009, 56, 1082–1087. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Bohn, L.M.; Schmid, C.L. Serotonin Receptor Signaling and Regulation via β-Arrestins. Crit. Rev. Biochem. Mol. Biol. 2010, 45, 555–566. [Google Scholar] [CrossRef] [Green Version]
  53. Gelber, E.I.; Kroeze, W.K.; Willins, D.L.; Gray, J.A.; Sinar, C.A.; Hyde, E.G.; Gurevich, V.; Benovic, J.; Roth, B.L. Structure and Function of the Third Intracellular Loop of the 5-Hydroxytryptamine2A Receptor: The Third Intracellular Loop Is Alpha-Helical and Binds Purified Arrestins. J. Neurochem. 1999, 72, 2206–2214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Guiard, B.P.; Giovanni, G.D. Central Serotonin-2A (5-HT2A) Receptor Dysfunction in Depression and Epilepsy: The Missing Link? Front. Pharmacol. 2015, 6, 46. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Abbas, A.; Roth, B.L. Arresting Serotonin. Proc. Natl. Acad. Sci. USA 2008, 105, 831–832. [Google Scholar] [CrossRef] [Green Version]
  56. Schmid, C.L.; Raehal, K.M.; Bohn, L.M. 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. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. González-Maeso, J.; Weisstaub, N.V.; Zhou, M.; Chan, P.; Ivic, L.; Ang, R.; Lira, A.; Bradley-Moore, M.; Ge, Y.; Zhou, Q.; et al. Hallucinogens Recruit Specific Cortical 5-HT(2A) Receptor-Mediated Signaling Pathways to Affect Behavior. Neuron 2007, 53, 439–452. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Moreno, J.L.; Holloway, T.; Albizu, L.; Sealfon, S.C.; González-Maeso, J. Metabotropic Glutamate MGlu2 Receptor Is Necessary for the Pharmacological and Behavioral Effects Induced by Hallucinogenic 5-HT2A Receptor Agonists. Neurosci. Lett. 2011, 493, 76–79. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Borroto-Escuela, D.O.; Li, X.; Tarakanov, A.O.; Savelli, D.; Narváez, M.; Shumilov, K.; Andrade-Talavera, Y.; Jimenez-Beristain, A.; Pomierny, B.; Díaz-Cabiale, Z.; et al. Existence of Brain 5-HT1A-5-HT2A Isoreceptor Complexes with Antagonistic Allosteric Receptor-Receptor Interactions Regulating 5-HT1A Receptor Recognition. ACS Omega 2017, 2, 4779–4789. [Google Scholar] [CrossRef]
  60. Kohli, S.; King, M.V.; Williams, S.; Edwards, A.; Ballard, T.M.; Steward, L.J.; Alberati, D.; Fone, K.C.F. Oxytocin Attenuates Phencyclidine Hyperactivity and Increases Social Interaction and Nucleus Accumben Dopamine Release in Rats. Neuropsychopharmacology 2019, 44, 295–305. [Google Scholar] [CrossRef] [PubMed]
  61. Lefevre, A.; Richard, N.; Jazayeri, M.; Beuriat, P.-A.; Fieux, S.; Zimmer, L.; Duhamel, J.-R.; Sirigu, A. Oxytocin and Serotonin Brain Mechanisms in the Nonhuman Primate. J. Neurosci. 2017, 37, 6741–6750. [Google Scholar] [CrossRef]
  62. Zhang, G.; Stackman, R.W.J. The Role of Serotonin 5-HT2A Receptors in Memory and Cognition. Front. Pharmacol. 2015, 6, 225. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Pandey, G.N.; Dwivedi, Y.; Rizavi, H.S.; Ren, X.; Pandey, S.C.; Pesold, C.; Roberts, R.C.; Conley, R.R.; Tamminga, C.A. Higher Expression of Serotonin 5-HT2A Receptors in the Postmortem Brains of Teenage Suicide Victims. Am. J. Psychiatry 2002, 159, 419–429. [Google Scholar] [CrossRef] [PubMed]
  64. Marek, G.J.; Carpenter, L.L.; McDougle, C.J.; Price, L.H. Synergistic Action of 5-HT2A Antagonists and Selective Serotonin Reuptake Inhibitors in Neuropsychiatric Disorders. Neuropsychopharmacology 2003, 28, 402–412. [Google Scholar] [CrossRef]
  65. Blier, P.; Szabo, S.T. Potential Mechanisms of Action of Atypical Antipsychotic Medications in Treatment-Resistant Depression and Anxiety. J. Clin. Psychiatry 2005, 66 (Suppl. S8), 30–40. [Google Scholar] [PubMed]
  66. Marek, G.J.; Martin-Ruiz, R.; Abo, A.; Artigas, F. The Selective 5-HT2A Receptor Antagonist M100907 Enhances Antidepressant-like Behavioral Effects of the SSRI Fluoxetine. Neuropsychopharmacology 2005, 30, 2205–2215. [Google Scholar] [CrossRef] [Green Version]
  67. Lin, S.-H.; Lee, L.-T.; Yang, Y.K. Serotonin and Mental Disorders: A Concise Review on Molecular Neuroimaging Evidence. Clin. Psychopharmacol. Neurosci. 2014, 12, 196–202. [Google Scholar] [CrossRef] [Green Version]
  68. Ly, C.; Greb, A.C.; Cameron, L.P.; Wong, J.M.; Barragan, E.V.; Wilson, P.C.; Burbach, K.F.; Zarandi, S.S.; Sood, A.; Paddy, M.R.; et al. Psychedelics Promote Structural and Functional Neural Plasticity. Cell Rep. 2018, 23, 3170–3182. [Google Scholar] [CrossRef]
  69. Grob, C.S.; Grigsby, J. (Eds.) Handbook of Medical Hallucinogens; The Guilford Press: New York, NY, USA, 2021; ISBN 978-1-4625-4544-5. [Google Scholar]
  70. Hesselgrave, N.; Troppoli, T.A.; Wulff, A.B.; Cole, A.B.; Thompson, S.M. Harnessing Psilocybin: Antidepressant-like Behavioral and Synaptic Actions of Psilocybin Are Independent of 5-HT2R Activation in Mice. Proc. Natl. Acad. Sci. USA 2021, 118, e2022489118. [Google Scholar] [CrossRef]
  71. Raval, N.R.; Johansen, A.; Donovan, L.L.; Ros, N.F.; Ozenne, B.; Hansen, H.D.; Knudsen, G.M. A Single Dose of Psilocybin Increases Synaptic Density and Decreases 5-HT2A Receptor Density in the Pig Brain. Int. J. Mol. Sci. 2021, 22, 835. [Google Scholar] [CrossRef]
  72. Romeo, B.; Hermand, M.; Pétillion, A.; Karila, L.; Benyamina, A. Clinical and Biological Predictors of Psychedelic Response in the Treatment of Psychiatric and Addictive Disorders: A Systematic Review. J. Psychiatr. Res. 2021, 137, 273–282. [Google Scholar] [CrossRef]
  73. Romeo, B.; Karila, L.; Martelli, C.; Benyamina, A. Efficacy of Psychedelic Treatments on Depressive Symptoms: A Meta-Analysis. J. Psychopharmacol. 2020, 34, 1079–1085. [Google Scholar] [CrossRef]
  74. Kim, J.; Cha, E.; Park, W.K.; Lee, H.Y.; Lim, S.M.; Kim, H.J.; Pae, A.N. Evaluation of Anti-Depressant Effects of Phthalazinone-Based Triple-Acting Small Molecules against 5-HT2A, 5-HT2C, and the Serotonin Transporter. Bioorg. Med. Chem. Lett. 2020, 30, 126882. [Google Scholar] [CrossRef] [PubMed]
  75. Xu, X.; Wei, Y.; Guo, Q.; Zhao, S.; Liu, Z.; Xiao, T.; Liu, Y.; Qiu, Y.; Hou, Y.; Zhang, G.; et al. Pharmacological Characterization of H05, a Novel Serotonin and Noradrenaline Reuptake Inhibitor with Moderate 5-HT2A Antagonist Activity for the Treatment of Depression. J. Pharmacol. Exp. Ther. 2018, 365, 624–635. [Google Scholar] [CrossRef] [Green Version]
  76. Evans, C.A.; Zuluaga, A.; Vasquez Matute, D.; Baradaran-Noviri, S.; Perez-Cervantes, N.; Siegler, M.A. Synthesis and Biological Evaluation of Thioadatanserin and Its Dialkylated Products as Partial 5-HTR1A Agonists and 5-HTR2A Antagonists for Potential Use in Depression and Anxiety Disorders. Bioorg. Med. Chem. Lett. 2020, 30, 127358. [Google Scholar] [CrossRef] [PubMed]
  77. Cameron, L.P.; Olson, D.E. Dark Classics in Chemical Neuroscience: N,N-Dimethyltryptamine (DMT). ACS Chem. Neurosci. 2018, 9, 2344–2357. [Google Scholar] [CrossRef]
  78. Cameron, L.P.; Tombari, R.J.; Lu, J.; Pell, A.J.; Hurley, Z.Q.; Ehinger, Y.; Vargas, M.V.; McCarroll, M.N.; Taylor, J.C.; Myers-Turnbull, D.; et al. A Non-Hallucinogenic Psychedelic Analogue with Therapeutic Potential. Nature 2021, 589, 474–479. [Google Scholar] [CrossRef]
  79. Hough, L.B.; Pearl, S.M.; Glick, S.D. Tissue Distribution of Ibogaine after Intraperitoneal and Subcutaneous Administration. Life Sci. 1996, 58, PL119–PL122. [Google Scholar] [CrossRef]
  80. Koenig, X.; Kovar, M.; Boehm, S.; Sandtner, W.; Hilber, K. Anti-Addiction Drug Ibogaine Inhibits HERG Channels: A Cardiac Arrhythmia Risk. Addict. Biol. 2014, 19, 237–239. [Google Scholar] [CrossRef] [Green Version]
  81. Iyer, R.N.; Favela, D.; Zhang, G.; Olson, D.E. The Iboga Enigma: The Chemistry and Neuropharmacology of Iboga Alkaloids and Related Analogs. Nat. Prod. Rep. 2021, 38, 307–329. [Google Scholar] [CrossRef]
  82. Zloh, M.; Kirton, S.B. The Benefits of in Silico Modeling to Identify Possible Small-Molecule Drugs and Their off-Target Interactions. Future Med. Chem. 2018, 10, 423–432. [Google Scholar] [CrossRef] [Green Version]
  83. Maia, E.H.B.; Assis, L.C.; de Oliveira, T.A.; da Silva, A.M.; Taranto, A.G. Structure-Based Virtual Screening: From Classical to Artificial Intelligence. Front. Chem. 2020, 8, 343. [Google Scholar] [CrossRef] [PubMed]
  84. Jegerschöld, C.; Pawelzik, S.-C.; Purhonen, P.; Bhakat, P.; Gheorghe, K.R.; Gyobu, N.; Mitsuoka, K.; Morgenstern, R.; Jakobsson, P.-J.; Hebert, H. Structural Basis for Induced Formation of the Inflammatory Mediator Prostaglandin E2. Proc. Natl. Acad. Sci. USA 2008, 105, 11110–11115. [Google Scholar] [CrossRef] [Green Version]
  85. Hamza, A.; Wei, N.-N.; Zhan, C.-G. Ligand-Based Virtual Screening Approach Using a New Scoring Function. J. Chem. Inf. Model. 2012, 52, 963–974. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Stahura, F.L.; Bajorath, J. New Methodologies for Ligand-Based Virtual Screening. Curr. Pharm. Des. 2005, 11, 1189–1202. [Google Scholar] [CrossRef]
  87. Zhang, C.; Li, Q.; Meng, L.; Ren, Y. Design of Novel Dopamine D2 and Serotonin 5-HT2A Receptors Dual Antagonists toward Schizophrenia: An Integrated Study with QSAR, Molecular Docking, Virtual Screening and Molecular Dynamics Simulations. J. Biomol. Struct. Dyn. 2020, 38, 860–885. [Google Scholar] [CrossRef]
  88. Kumar, R.; Jade, D.; Gupta, D. A Novel Identification Approach for Discovery of 5-HydroxyTriptamine 2A Antagonists: Combination of 2D/3D Similarity Screening, Molecular Docking and Molecular Dynamics. J. Biomol. Struct. Dyn. 2019, 37, 931–943. [Google Scholar] [CrossRef]
  89. Leelananda, S.P.; Lindert, S. Computational Methods in Drug Discovery. Beilstein J. Org. Chem. 2016, 12, 2694–2718. [Google Scholar] [CrossRef] [Green Version]
  90. Wang, Y.; Joseph, J.; Gao, Y.; Hu, B.; Geng, X.; Wu, D.; Wang, J.; Zhang, F. Revealing the Interaction Modes of 5-HT2A Receptor Antagonists and the Structure-Based Virtual Screening from FDA and TCMNP Database. J. Biomol. Struct. Dyn. 2021, 39, 3681–3692. [Google Scholar] [CrossRef] [PubMed]
  91. Staroń, J.; Kurczab, R.; Warszycki, D.; Satała, G.; Krawczyk, M.; Bugno, R.; Lenda, T.; Popik, P.; Hogendorf, A.S.; Hogendorf, A.; et al. Virtual Screening-Driven Discovery of Dual 5-HT6/5-HT2A Receptor Ligands with pro-Cognitive Properties. Eur. J. Med. Chem. 2020, 185, 111857. [Google Scholar] [CrossRef] [PubMed]
Ijms 23 00010 g001 550
Figure 1. A scheme presenting a graphical interpretation of biosynthesis and degradation of serotonin. MAO stands for monoamine oxidase, an enzyme mainly responsible for the degradation of serotonin.
Figure 1. A scheme presenting a graphical interpretation of biosynthesis and degradation of serotonin. MAO stands for monoamine oxidase, an enzyme mainly responsible for the degradation of serotonin.
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Figure 2. Synthetic 5-HT2A agonists and their precursors of natural origin.
Figure 2. Synthetic 5-HT2A agonists and their precursors of natural origin.
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Table
Table 1. Classification of 5-HT receptors according to the affected signaling pathways and pharmacological importance.
Table 1. Classification of 5-HT receptors according to the affected signaling pathways and pharmacological importance.
GroupReceptor SubtypePharmacological Importance
Gαi-coupled serotonin receptors; usually decrease the activity of adenylyl cyclase and lower the intracellular cAMP concentration [32]5-HT1A, 5-HT1B, 5-HT1D, 5-HT1E, 5-HT1F 5-HT5A, 5-HT5B
  • Anxiety, novel antidepressants, antipsychotics, migraine
  • Locomotion, sleep
Gαq/11-coupled serotonin receptors; activate the phospholipase C, increase the concentration of inositol triphosphate, diacylglycerol, and intracellular calcium levels [32]5-HT2A, 5-HT2B, 5-HT2C
  • Schizophrenia, depression, Tourette’s syndrome, appetite, addiction, anxiety, sleep, sexual behavior
Gαs-coupled serotonin receptors; couple to adenylyl cyclase, elevate cAMP levels, may also result in increased calcium [32]5-HT4, 5-HT6, 5-HT7
  • Respiration, sleep, thermoregulation, mood, learning, cognition, anxiety, appetite
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Zięba, A.; Stępnicki, P.; Matosiuk, D.; Kaczor, A.A. Overcoming Depression with 5-HT2A Receptor Ligands. Int. J. Mol. Sci. 2022, 23, 10. https://doi.org/10.3390/ijms23010010

AMA Style

Zięba A, Stępnicki P, Matosiuk D, Kaczor AA. Overcoming Depression with 5-HT2A Receptor Ligands. International Journal of Molecular Sciences. 2022; 23(1):10. https://doi.org/10.3390/ijms23010010

Chicago/Turabian Style

Zięba, Agata, Piotr Stępnicki, Dariusz Matosiuk, and Agnieszka A. Kaczor. 2022. "Overcoming Depression with 5-HT2A Receptor Ligands" International Journal of Molecular Sciences 23, no. 1: 10. https://doi.org/10.3390/ijms23010010

APA Style

Zięba, A., Stępnicki, P., Matosiuk, D., & Kaczor, A. A. (2022). Overcoming Depression with 5-HT2A Receptor Ligands. International Journal of Molecular Sciences, 23(1), 10. https://doi.org/10.3390/ijms23010010

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