| Literature DB >> 27932945 |
Giuseppe Di Giovanni1, Dubravka Svob Strac2, Montse Sole3, Mercedes Unzeta3, Keith F Tipton4, Dorotea Mück-Šeler2, Irene Bolea3, Laura Della Corte5, Matea Nikolac Perkovic2, Nela Pivac2, Ilse J Smolders6, Anna Stasiak7, Wieslawa A Fogel7, Philippe De Deurwaerdère8.
Abstract
The monoaminergic systems are the target of several drugs for the treatment of mood, motor and cognitive disorders as well as neurological conditions. In most cases, advances have occurred through serendipity, except for Parkinson's disease where the pathophysiology led almost immediately to the introduction of dopamine restoring agents. Extensive neuropharmacological studies first showed that the primary target of antipsychotics, antidepressants, and anxiolytic drugs were specific components of the monoaminergic systems. Later, some dramatic side effects associated with older medicines were shown to disappear with new chemical compounds targeting the origin of the therapeutic benefit more specifically. The increased knowledge regarding the function and interaction of the monoaminergic systems in the brain resulting from in vivo neurochemical and neurophysiological studies indicated new monoaminergic targets that could achieve the efficacy of the older medicines with fewer side-effects. Yet, this accumulated knowledge regarding monoamines did not produce valuable strategies for diseases where no monoaminergic drug has been shown to be effective. Here, we emphasize the new therapeutic and monoaminergic-based strategies for the treatment of psychiatric diseases. We will consider three main groups of diseases, based on the evidence of monoamines involvement (schizophrenia, depression, obesity), the identification of monoamines in the diseases processes (Parkinson's disease, addiction) and the prospect of the involvement of monoaminergic mechanisms (epilepsy, Alzheimer's disease, stroke). In most cases, the clinically available monoaminergic drugs induce widespread modifications of amine tone or excitability through neurobiological networks and exemplify the overlap between therapeutic approaches to psychiatric and neurological conditions. More recent developments that have resulted in improved drug specificity and responses will be discussed in this review.Entities:
Keywords: antidepressant; antiparkinsonian treatments; antipsychotic; drug addiction; monoamine oxidase inhibitor; multi-target pharmacology; neurodegenerative diseases; stroke
Year: 2016 PMID: 27932945 PMCID: PMC5121249 DOI: 10.3389/fnins.2016.00541
Source DB: PubMed Journal: Front Neurosci ISSN: 1662-453X Impact factor: 4.677
Figure 1Relationships between brain diseases and monoamines. We artificially separate three groups of diseases. The first group is based on the discovery of the involvement of monoamines in drug's efficacy (the arrows go from the drugs to monoamines in a disease). The second group includes diseases where monoamines have been causally involved in the disease, leading to development of monoaminergic drugs (L-DOPA for instance; the arrows go from the disease to the drugs). The third group has no monoamine-based treatments implying an open research.
Figure 2Cellular and molecular organization of central monoaminergic systems. The figure depicts each monoamine system (dopamine, DA; noradrenaline, NA; serotonin, 5-HT; histamine) the biosynthesis, metabolism, the receptors and transporters. The color is used to identify the proteins that are selective for each system while the black color is used for non-specific proteins. The terminals of each monoaminergic neurons contact post-synaptic elements that express a variety of receptors which are more or less specific for each monoamine. Autoreceptors can be located at terminals and cell bodies for most systems. In the case of serotonergic cells, 5-HT1A autoreceptors are expressed at cell bodies and 5-HT1B autoreceptors are expressed at terminals The post-synaptic elements (neurons, glial cells) also express enzymes involved in their metabolism (MAO-A/B, COMT, AADC) as well as non-specific transporters. Of note, the distribution of MAO-B in the serotoninergic cells is rather located at the level of cell bodies. DBH is mainly expressed in vesicles of exocytosis in noradrenergic terminals. AADC, aromatic L-amino acid decarboxylase; DBH, dopamine β-hydroxylase; TPH, tryptophan hydroxylase; VMAT2, vesicular monoamine transporter; SERT, 5-HT transporter, DAT, DA transporter; NET, NA transporter; OCT, organic cation transporters; PMAT, plasma membrane monoamine transporter; HDC, L-histidine decarboxylase; MAO, monoamine oxidase (A or B); COMT, catechol-O-methyl transferase.
Receptor-binding affinities of typical and atypical antipsychotic drugs.
| Haloperidol | 8.84 | 8.56 | 6.29 | 7.28 | D4 (8.83); α1A (7.9); σ1 (8.52) |
| flupentixol | 9.46 | 8.76 | 5.1 | 7.06 | D1 (8.46); H1 (9.07) |
| Thioridazine | 9.4 | 8.82 | 6.84 | 7.56 | α1A (8.5); α1B (8.62); M1 (7.89); M5 (7.9); H1 (7.78) |
| Pimozide | 9.48 | 9.6 | 6.19 | 7.32 | 5-HT7 (9.3); D4 (8.74) |
| Perphenazine | 8.47 | 9.89 | 6.38 | 8.25 | 5-HT6 (7.77); 5-HT7 (7.64); D1 (7.52); D4 (7.77); α1A (8); H1 (8.1); σ1 (7.73) |
| Loxapine | 7.96 | 7.71 | 5.61 | 8.18 | 5-HT2C (7.88); 5-HT6 (7.51); 5-HT7 (7.06); D1 (7.27); D4 (8.08); D5 (7.12); α1A (7.51); α1B (7.28); α2A (6.82); α2B (6.97); α2C (7.1); M1 (6.92); H1 (8.3) |
| Clozapine | 6.87 | 6.66 | 7.06 | 8.39 | 5-HT1B (6.28)b; 5-HT2B (8.79); 5-HT2C (8.56 - IA); 5-HT3 (6.62); 5-HT6 (7.87); 5-HT7 (7.75); D1 (7.64); D4 (7.33); D5 (6.63); α1A (8.79); α1B (8.15); α2A (7.43); α2B (7.58); α2C (8.22); M1 (8.21); M2 (7.44); M3 (7.72); M4 (7.81); M5 (7.81); H1(8.95); H2 (6.82); H4 (6.18) |
| Risperidone | 8.21 | 8.16 | 6.75 | 9.69 | 5-HT1B (7.83); 5-HT1D (7.07); 5-HT2B (7.8); 5-HT2C (8.17); 5-HT7 (8.18); D4 (8.21); D5 (7.8); α1A (8.3); α1B (8.04); α2A (7.78); α2C (8.89); H1 (7.7) |
| Olanzapine | 7.67 | 7.46 | 5.82 | 8.88 | 5-HT2B (8.41); 5-HT2C (8.41); 5-HT3 (6.69); 5-HT6 (8.09); 5-HT7 (6.98); D4 (7.75); D5 (7.04); α1A (6.95); α1B (6.58); α2A (6.5); α2B (7.09); α2C (7.54); M1 (7.58); M2 (7.2); M3 (7.28); M4 (7.61); M5 (8.12); H1 (8.66); H2 (7.36) |
| Ziprasidone | 8.09 | 8.35 | 9.01 | 9.51 | 5-HT1B (8.4); 5-HT1D (8.64); 5-HT2B (9.08); 5-HT2C (9.01); 5-HT6 (7.21); 5-HT7 (8.22); D1 (8.45); D4 (7.33); α1A (7.74); H1 (7.2); SERT (7.26); NET (7.32) |
| Quetiapine | 6.38 | 6.41 | 6.78 | 6.81 | 5-HT2B (7.33); 5-HT2C (5.98); 5-HT6 (6.02); 5-HT7 (6.51); D1 (6.71); D4 (5.85); D5 (7.8); α1A (7.66); α1B (7.84); α2A (5.44); α2C (7.65); H1 (8.16); H2 (7.38); M1 (489); M3 (5.79) |
| Brexpiprazole | 9.48 | 8.9 | 9.21 | 9.67 | α1A (8.42); α1B (9.23); α1 |
| Aripiprazole | 8.9 | 8.85 | 8.57 | 8.02 | 5-HT2B (9.59) |
| Cariprazine | 9.31 | 10.07 | 8.59 | 7.73 | 5-HT2B (9.24) |
| Amisulpiride | 8.89 | 8.62 | 5.8 | 5.08 | 5-HT2B (7.89); 5-HT7 (7.94) |
| Blonaserin | 9.84 | 9.3 | 6.09 | 9.09 | |
The pKi values shown are taken from several sources, including mean values from the PDSP Ki database (Roth and Driscol, 2016). The values for the receptors: D2, D3, 5-HT1A, 5-HT2A, 5-HT2B, 5-HT2C with atypical antipsychotics were from Leggio et al. (2016) or Citrome (2015). The colors indicate: Blue, drugs with higher affinity for D2 receptors; Orange, drugs with a 5-HT/DA binding profile; Violet, drugs with a D2/3 effects; Green, drugs with partial agonist activities at D2 receptors. 5-HT2B receptors are a recurrent target of several atypical antipsychotic drugs. Conversely, none of the agents presented above bind at 5-HT4 receptors. M1-M5, muscarinic receptors; σ1, sigma 1 receptors.
in the range of 1 order of magnitude compared to the affinity at D2 receptors.
Figure 3Design of antipsychotic drugs. The elaboration of antipsychotic drugs pays attention to the positive symptoms, negative symptoms, cognitive deficits and extrapyramidal side effects. The D2 receptor subtype is the main target for the positive symptoms. The 5-HT2C receptor is an example of preclinical research target offering another possibility based on the reduction of DA neuron activity. Different targets are proposed to limit the other deficits or to avoid motor side-effects including the 5-HT2A, 5-HT1A or D3 receptor subtypes. Nowadays, one of the main difficulties is to address the negative symptoms and some preclinical studies suggest beneficial effects of targeting the D3 receptor subtypes.
Pharmacological targets of lead and newer antidepressant drugs from lead compounds.
| Imipramine, Fluoxetine | 5-HT/NA interaction mostly via blockade of SERT and/or NET | SSRI (Escitalopram, Citalopram, Paroxetine…) | SERT |
| Iproniazid | 5-HT/NA interaction mostly via inhibition of | Moclobemide | MAO-A (reversible inhibitor) |
| MAO-A/B (irreversible) | Agomelatine | MT1/MT2 agonist/5-HT2C antagonist |
Lead antidepressant drugs and their proposed mechanisms of action as well as newer drugs in clinical use that retain some of their targets. Agomelatine is included, although its 5-HT2C receptor antagonist action was not directly based on a lead drug (Di Giovanni and De Deurwaerdère, 2016).
Anti-obesity drugs and mechanisms.
| Amphetamine | DAT, NET and release of catecholamines | Sibutramine | NET/SERT (withdrawn) |
| d-fenfluramine | 5-HT release and indirect 5-HT2C agonism | Lorcaserin | Preferential 5-HT2C receptor agonist |
| Antipsychotic drugs | Obesity as side effects via H1 receptor antagonism | Cariprazine, Brexpiprazole, Aripiprazole | Weak to no affinity toward H1 (even 5-HT2C) receptors (Table |
Lead compounds in the field of anti-obesity drugs and their proposed mechanisms of action are shown, together with newer drugs with similar actions. Amphetamine enhances catecholamines release through its action on DAT and NET, which led to the development of drugs that enhanced NA release. D-fenfluramine, chemically derived from amphetamine, loses affinities for DAT and NET in relation to SERT. Conversely, antipsychotic drugs induced weigh gain that has been corrected in newer compounds.
Antiparkinsonian drug treatments and pharmacological target.
| Degeneration of SNc DA neurons and striatal DA loss | L-DOPA | In part related to DA increase in the brain, possibly outside the striatum Stimulation of D2/3 receptors | Unresolved |
| Degeneration of LC NA neurons | None | ||
| Degeneration of neurons—oxidative stress | MAO-B inhibitors (Rasagiline) | Unclear | Unresolved |
The table represents brain alterations in Parkinson's disease and the drugs and/or strategies used against these alterations. The full spectrum of the mechanism of action of these drugs may have been misunderstood as no clear efficacy at pharmacological target has been achieved.
Figure 4Mechanisms of action of L-DOPA on brain DA release. The upper illustration recalls the origin of ascending fibers for monoamines. The lower displays the normal dopaminergic transmission in the striatum (very dense) and the prefrontal cortex (very low). It includes serotonergic and noradrenergic terminals with their relative density compared to DA terminals. In the 6-hydroxydopamine rat model of PD, the density of dopaminergic fibers drop to less than 10% of the normal situation and the increase in DA release induced by L-DOPA is mostly due to serotonergic terminals. DA reuptake by noradrenergic fibers is low in the striatum due to their poor density. The overall output of striatal DA induced by L-DOPA, identified in the figure by the blue background, is very low compared to the physiological situation without L-DOPA. In the prefrontal cortex, the overall output of DA induced by L-DOPA is higher compared to the physiological situation because the density of serotonergic terminals is higher than the natural density of dopaminergic terminals. The reuptake of DA by NA fibers is magnified in L-DOPA-treated animals. The situation described in the prefrontal cortex is also observed in the hippocampus or the substantia nigra pars reticulata (not shown here) and virtually in most brain regions (De Deurwaerdère and Di Giovanni, 2016; De Deurwaerdère et al., 2016).