Abstract
There is a curious disparity between the body of literature linking the dopamine system to schizophrenia/psychosis and bipolar disorder. This is surprising, given the similarities between the tenets of the dopamine hypothesis and schizophrenia and some states observed in bipolar disorder.
In this chapter, the author will present the evidence for a link between changes in the dopamine system and facets of bipolar disorder, the use of antipsychotics in bipolar disorder, and the possible integration of this knowledge in studying antipsychotic response and the dopamine system in bipolar disorder.
18.1 Introduction
There is a curious disparity between the body of literature linking the dopamine system to schizophrenia/psychosis and bipolar disorder. This is surprising, given the similarities between the tenets of the dopamine hypothesis and schizophrenia and some states observed in bipolar disorder.
In this chapter, the author will present the evidence for a link between changes in the dopamine system and facets of bipolar disorder, the use of antipsychotics in bipolar disorder, and the possible integration of this knowledge in studying antipsychotic response and the dopamine system in bipolar disorder.
18.2 Dopamine and Bipolar Disorder
Attempts to link the dopamine system to bipolar disorder date back to catecholamine hypotheses of affective disorders (1), where a relative deficit was linked to depression, and increase or potentiation related to elation, though the focus at that time was predominantly on noradrenaline, as opposed to dopamine. This hypothesis has adapted over the years, taking into account data from animal, behavioral pharmacology, clinical trials, and molecular imaging (2). Unlike the dopamine hypothesis of schizophrenia/psychosis, dopamine’s role is thought to be more fluid and specific for differing states of the illness.
The main animal models have included hyperlocomotion, seen as a phenotype of manic behavior, induced by amphetamines (3) and also seen in mice with a mutation in a circadian clock gene (ClockΔ19 mice). Behaviorally, these mice demonstrate altered sleep patterns, with less immobility in the forced swim test and increased preference for rewarding stimuli such as sucrose and less depression-like behavior (4).This model has been linked to increased dopamine synthesis, tyrosine hydroxylase activity, and a daytime spike in daytime dopamine (5).
To this should be added modulation of behavior in animal models of depression, a bidirectional (induction or relief of depressive symptoms caused by mild stress) caused by modulating (inhibition/excitation) optogenetic recruitment of dopamine neurons in freely moving rodents (6). Linking both states in the same mice, using the association between seasonality and mood (i.e., mania and summer, depression and winter), Young et al. showed that mice with reduced dopamine transporter (DAT) expression exhibited hypersensitivity to summer-like and winter-like photoperiods, including more extreme mania-relevant and depression-relevant behaviors (7).
Pharmacological evidence for dopamine’s role in inducing hypomania/mania comes from studies with L-dihydroxyphenylalanine (L-DOPA) (8), bromocriptine (9), amphetamine (10), and antimanic effects of dietary tyrosine depletion (11) and alpha-methyl-p-tyrosine (AMPT) administration, a dopamine depleting agent (12).
The clearest evidence for the role of dopamine in bipolar disorder comes from clinical antipsychotic trials (see later).
In essence, the current model proposes a dysregulation of the dopamine system, switching of mood states being associated with relative excess (elevation) and reduction (depression) in the dopamine system. It is acknowledged that this does not adequately cover mixed states, though these could signify more flux within the system.
18.3 The Use of Antipsychotics in Bipolar Disorder
The first study of antipsychotics in bipolar disorder was in the acute phase of mania; the first study the author is aware of occurring in 1952, Delay and Deniker showing effects of chlorpromazine in manic states (13), a subsequent placebo-controlled study showing chlorpromazine to have greater efficacy in mania, compared to placebo (14). This is reflected in the antipsychotics licensed by the United States Food and Drug Administration (FDA) for use in treatment of bipolar disorder, which include aripiprazole (mania/mixed features and maintenance), asenapine (mania/mixed features), cariprazine (mania/mixed features, depression), chlorpromazine (mania/mixed features), lurasidone (depression), olanzapine (mania/mixed features/maintenance), olanzapine-fluoxetine (depression), quetiapine (immediate-release; mania/mixed features, depression, maintenance), quetiapine extended-release (mania/mixed features, depression, not maintenance), risperidone (mania/mixed features), ziprasidone (mania/mixed features, maintenance).
18.3.1 Acute Treatment of Mania
A recent synthesis of trials for mania found antipsychotics remain the most effective treatments, using response rate as an outcome measure, thirty-seven trials demonstrating a response rate of 49.7%, compared to seven trials showing response rate of 49.1% for lithium and eight trials indicating a response rate of 48.4% for anticonvulsants (15). Most trials are brief (around three weeks and response were broadly defined as <50% in ratings on a mania scale). This is broadly similar to a 2011 meta-analysis that measured change in scale, with haloperidol, the archetypal D2 blocker, showing the greatest effect size (16).
18.3.2 Acute Treatment of Depression
Examination of antipsychotics licensed for acute depression indicates heterogeneity among compounds (17), most of which do not have direct effects on the dopamine system (olanzapine plus fluoxetine, lurasidone, quetiapine). A recent trial of cariprazine showed some effects on depression symptoms, using the Montgomery Asperg Depression Rating Scale (MADRS), with a least-square reduction of 2.5 versus placebo at 1.5 mg and 3 for 3 mg daily (18). It is also worth noting lack of efficacy at 3 mg in a prior trial (though difference of 4 on MADRS for 1.5 mg) (19), and contrasting these differences to those for other licensed antipsychotics, for example, quetiapine, where the mean difference in MADRS was approximately 15 for 300 mg/day (allowing for effects on sedation and weight gain, this difference is striking (20).) The findings with cariprazine can be contrasted with those of aripiprazole (see later), which may be a result of cariprazine having more agonistic properties (21).
18.3.3 Maintenance Treatment
A 2017 systematic review and meta-analysis of SGAs in maintenance treatment included fifteen RCTs, lasting from six months to two years, and one observational study lasting four years (22). This examined monotherapy and adjunctive therapy to lithium, sodium valproate, or lamotrigine. Antipsychotics included olanzapine (four trials), quetiapine (four trials), aripiprazole (three trials), risperidone (three trials), and ziprasidone (one trial). Meta-analyses demonstrated antipsychotic monotherapy superior to placebo, reducing overall relapse risk (olanzapine: RR 0.52 (95% CI 0.38–0.71), two studies; quetiapine: HR 0.37 95% CI 0.31–0.45), two studies; risperidone: RR 0.61 (95% CI 0.47–0.80), two studies). It should be acknowledged that the quality of the studies was inferior. As adjunct to mood stabilizers (lithium/valproate/lamotrigine), given to people who had responded to acute treatment, efficacy was seen for aripiprazole (RR 0.65, 95% CI 0.50–0.85; two studies), olanzapine (RR 0.49 (95% CI 0.27–0.91; one study), quetiapine (RR 0.38, 95% CI 0.32–0.46; two studies), and ziprasidone (RR 0.62, 95% CI 0.40–0.96; one study). One trial with risperidone long-acting injection (LAI) in people with bipolar 1 disorder and four or more episodes in the prior year, was not statistically significant in the meta-analysis for relapse to any mood episode, though did show benefit in a fifty-two-week follow-up compared to placebo as an adjunct to treatment as usual, with a 2.3-fold decreased risk of relapse to any mood episode (22, 23). Adjunctive quetiapine was the only drug that reduced manic (RR 0.39, 95% CI 0.30–0.52; two studies) and depressive (RR 0.38, 95% CI 0.29–0.49; two studies) episodes. All but one study had an enriched design, that is, patients were taking the drug prior to randomization. (A form of selection bias.) Two of the RCTs included people with bipolar 2 disorder. Accounting for side effects, discontinuation rates as adjunct varied from a hazard ratio of 0.66 (ziprasidone) to 0.89 (aripiprazole), with weight gain (defined as an increase of >7%) noted when meta-analyzing all antipsychotics.
Lurasidone was not examined in this review. This has an FDA license as monotherapy and adjunctive treatment to lithium and divalproex for acute treatment of bipolar depression. Following a six-week double-blind placebo-controlled RCT of lurasidone monotherapy or adjunctive treatment with lithium or divalproex, participants were randomized to an extended six-month trial of lurasidone as monotherapy or adjunct. Though not the primary outcome, treatment‐emergent mania occurred in 1.3% in the monotherapy group, and in 3.8% in the adjunctive group. Among extension study baseline responders, 10.2% met post hoc criteria for depression relapse during six months of treatment in the monotherapy group, 10.2% meeting relapse criteria in the adjunctive therapy group. The nature of the trial makes it challenging to compare depression and mania relapse to other treatments, though the low incidence of manic relapse should be noted (23, 24). A recent twenty-six-week double-blind placebo-controlled trial of asenapine maintenance therapy in 253 people with bipolar disorder found a statistically significantly longer time to recurrence of any mood episode (manic or depression), HR 0.16 for manic episode, HR 0.35 for depressive episode, though not for mixed episodes (the study may have been underpowered for this, these being post hoc analyses)(24, 25). RCTs of LAIs should be added to this literature. A randomized placebo-controlled fifty-two-week trial of aripiprazole depot showed a beneficial effect in bipolar 1 illness, with a hazard ratio of 0.45 in recurrence of any mood episode, with a signal predominantly for preventing manic episodes, mirroring the evidence for oral aripiprazole (25, 26). Similar efficacy is also seen for risperidone LAI, versus placebo, from two trials, of eighteen and twenty-four months’ duration (26–28), in relapse prevention, with a combined risk ratio of 0.42 for manic, hypomanic, or mixed symptoms, though not for depression relapse. A review summarizing three trials of LAI versus oral antipsychotics found no difference in relapse rates, though sensitivity analysis showed benefit in people with rapid cycling illness (29).
18.4 Dopamine Synthesis and Metabolism
To enable a clear understanding of the role of dopamine in molecular imaging, it is worth summarizing the process of dopamine synthesis and metabolism (Figure 18.1).
As stated by Cumming, “the life history of a dopamine molecule begins in the liver”, where its precursor tyrosine is synthesized, and ends in the kidney, where it is excreted in urine (29, 30). Tyrosine is formed from the amino acid phenylalanine or obtained through dietary intake. Tyrosine is then transported in blood plasma, to cross the blood–brain barrier, where facilitated diffusion allows entry. In the brain, tyrosine is either incorporated into other proteins or used as a precursor for the synthesis of DOPA by catecholamine neurons. In the latter process, tyrosine is converted to L-DOPA by tyrosine hydroxylase, considered the rate-limiting enzyme in dopamine synthesis (it is almost completely saturated by tyrosine). Tyrosine activity can be modulated by a number of amines acting on the catalyst site. The majority of L-DOPA is then converted to dopamine by the enzyme aromatic acid decarboxylase (AADC). Other fates for L-DOPA include being exported out of the brain or being used as a substrate for catechol-O-methyltransferase (COMT), resulting in the production of O-methyldopa (OMD). It has therefore been pointed out that AADC can also contribute to dopamine synthesis (31). After being formed within the cytoplasm or intracellular space of the dopamine neuron, dopamine is then actively transported to synaptic vesicles by vesicular monoamine transporter 2 (VMAT 2), where it is stored and subsequently released. Reuptake of dopamine into presynaptic terminals is regulated by the DAT (in the striatum). Unbound dopamine is then metabolized by monoamine oxidase (MAO) and COMT. The main branch of catabolism then follows the deamination of dihydroxyephenylacetic acid (DOPAC), which is then O-methylated to homovanillic acid (HVA). In a separate process, a small amount of brain dopamine is O-methylated to produce 3-methoxytyramine (3-MT), which is then deaminated by MAO to produce HVA. Both DOPAC and HVA leave the brain via facilitated diffusion, either directly to the bloodstream or via cerebrospinal fluid (CSF).
Figure 18.1 Pathway of dopamine synthesis and metabolism
18.5 Molecular Imaging of the Dopamine System
Wagner and colleagues, in 1983, were the first to show visualization of dopamine receptors in the human brain, with [11C]-N– methylspiperone (31, 32). The resolution of early studies (10–12 mm) only enabled visualization of large areas, such as striatum (33). Molecular imaging of dopamine in the human brain can be split into the presynaptic (which can be grouped together into dopamine synthesis capacity, dopamine release, and synaptic dopamine, which can be assessed using pharmacological challenge with dopamine depleting or releasing agents (34)), dopamine transporter availability, and dopamine receptor availability (Figure 18.2).
Common tracers and methods are given below, in Table 18.1 (PET tracers unless otherwise specified).
Table 18.1 Common tracers used to image the dopamine system in vivo
Component of DA system | Tracer | Technical notes |
---|---|---|
Dopamine synthesis capacity (presynaptic) | ||
[18F]-DOPA (36) | Indexes AADC | |
[β-11C]L-DOPA ([11C]-DOPA) (31) | Indexes AADC | |
6-[18F]-l-meta– tyrosine (FMT) (37) | Tenfold greater affinity for AADC than F-DOPA, not substrate for COMT | |
3-[18F]fluoro-α- fluoromethyl-p-tyrosine (FMT) (38) | Substrate for tyrosine hydroxylase activity | |
Dopamine transporter | ||
[123I] Beta-CIT (SPECT) (39) | ||
[11C]-nomifensine (40) | ||
[11C]WIN35428 (41) | ||
[11C]d-threo-methylphenidate (42) | ||
[99mTc]TRODAT-1 (43) | ||
D1 receptor family | ||
Antagonists | [11C]SCH-23390 (44) | |
[11C]NNC 112 (45) | Also binds to 5HT2A receptors | |
Agonists | ||
(+)-Dinapsoline (46) | ||
D2 receptor family | ||
Antagonists | ||
[11C]3-N-methyl-spiperone (47) | ||
[11C]raclopride (48) | ||
(S)-N-[(1-ethyl-2-pyrrolidinyl)] methyl-2-hydroxy-3-iodo-6-methoxybenzamide ([123I]IBZM) (49) | ||
[18F]fallypride (50) | ||
[11C]FLB457 (51) | ||
Agonists | ||
[11C]-(+)-4-propyl-3,4,4a,5,6,10b-hexahydro-2 H-naphtho[1,2-b][1,4]oxazin-9-ol ([11C]PHNO) (52) | D3 selective | |
(-)-N-[11C]propyl-norapomorphine (NPA) (53) | Full D2/D3 (predominantly D2 high) agonist | |
[O-methyl–11C]2-methoxy-N-propylnorapomorphine). [11C]MNPA (54) |
18.5.1 Presynaptic System
Dopamine synthesis capacity is measured by quantifying the uptake of the enzyme AADC, a precursor to dopamine, though this is acknowledged as not being the rate-limiting step in dopamine production (this being tyrosine hydroxylase)(55).
The endogenous production of dopamine can also be assessed indirectly, using amphetamine challenge.
As recognized for tracers such as raclopride, endogenous dopamine competes with some tracers for binding at D2/3 receptors. At a simplified level, D2 receptors exist in low- and high-affinity states for agonists such as dopamine, with D2 high the functional state in the striatum. Antagonists will bind at both D2 high and low states, and agonists will compete for D2 high states with endogenous dopamine, are therefore more vulnerable to competition by endogenous DA, and therefore more sensitive. This led to the development of D2 agonist radiotracers, as listed earlier. These are more sensitive to the effects of amphetamine challenge on binding potential (BP) of D2 receptors than raclopride. For example, Narendran et al. demonstrated 1.5 times the effect of amphetamine on BP in striatum relative to raclopride, using [11C] NPA (56), and Shotbolt et al. showed a similarly large change in BP with PHNO (in healthy volunteers) (57).
18.5.2 Extra-Striatal Imaging of the Dopamine System
While F-DOPA PET has a very good signal-to-noise ratio in the striatum (Figure 18.3), it is poorer at quantifying dopamine synthesis capacity in extra-striatal regions, the same test–retest study that showed good intraclass coefficients (ICC) for striatum showing poorer ICC in extra-striatal regions (75). Specific regions of poor reliability (ICC<0.5) were hippocampus, amygdala, and medial frontal gyrus. Kicer in the thalamus, posterior cingulate cortex, anterior orbital gyrus, and medial frontal gyrus was equal or less than that of adjacent white matter, which raises doubts regarding the validity of measuring Kicer in these regions. Partial volume correction for the white matter for F-DOPA PET in extra-striatal regions has been suggested, based on finding greater Kicer in white matter compared to gray matter, despite no evidence to suggest appreciable AADC in white matter (58).
Figure 18.3 A normative map of dopamine synthesis capacity as measured with FDOPA PET.
Given that extra-striatal regions such as the limbic and cortical dopamine systems have lower density populations of D2 receptors, tracers such as [11C] raclopride and [123I] IBZM have less utility here, due to signal-to-noise ratio, with low-affinity or high nonspecific binding, respectively. Therefore high-affinity tracers such as [18F] fallypride and [11C] FLB457 were developed, the former used in striatal and extra-striatal regions, the latter used only in extra-striatal regions, due to its ultra-high affinity. These tracers are used in dopamine release paradigms, and problems that limit their use in stimulant paradigms include the fact that stimulant effects on the prefrontal cortex occur outwith the dopamine synapse and therefore the process of displacement is dependent on diffusion, as well as effects of COMT in the cortex. While the stimulant challenge has shown a difference between fallypride and FLB 457 (56), task-based paradigms have failed to show a difference (59). The agonist tracer PHNO has been used in extra-striatal regions such as the substantia nigra, where D3 receptors predominate (PHNO has a high affinity for these receptors) though it has limited utility in cortical regions (60).
18.6 Molecular Imaging of the Dopamine System in Bipolar Disorder
All known published molecular imaging studies of the dopamine system in bipolar disorder are presented in Table 18.2. In keeping with the hypothesis that dopamine may have a state component in bipolar disorder, the phase of bipolar disorder and patient characteristics are included.
Table 18.2 Molecular imaging studies of the dopamine system in bipolar disorder
Author (year) | Component of DA system (tracer) | Phase of BD | Patients; controls (n) | Patient characteristics | Main finding |
---|---|---|---|---|---|
Zubieta et al, 2000 (61) | Euthymic | 16;16 | Prior psychotic mania, on various medications (carbamezepine, lamotrigine, valproic acid, lithium) | Increased uptake brainstem and thalamus, correlation between brainstem and executive function | |
Yatham et al 2002 (62) |
| Nonpsychotic mania | 13;13 | AP and MS naive, first episode | No difference in Ki |
Jauhar et al 2017 (63) |
| Psychosis (n = 16 of 22) | 22;22 |
| Elevation in whole sample, compared to controls, correlation with positive psychotic symptoms |
Anand et al 2000 (64) |
| Euthymic | 13;13 | Drug free (n = 7) | No difference, no correlation in patients of post amphetamine binding and YMRS |
Anand et al 2011 (65) |
|
| 11;13 |
| Lower DAT availability in bipolar patients in bilateral dorsal caudate |
Amsterdam and Newberg, 2007 (66) |
| Depression | 5;46 | Drug free for one week | Increased binding potential in posterior putamen and left caudate |
Chang et al, 2010 l (67) | Dopamine transporter [99mTc] TRODAT-1(SPECT) | Euthymic | 17;17 | Drug free for 2 months, euthymic 4 months | Increased striatal DAT, compared to controls. |
Yatham et al, 2002 (68) |
| Non-psychotic mania | 13;14 | Antipsychotic and mood-stabiliser naive | No significant difference in binding potential |
Wong et al, 1997 (69) |
|
| 14;24 | Drug naïve (n-11), drug-free (n-3) | Increased D 2/3 density in caudate |
Pearlson et al, 1995 (70) |
|
| Antipsychotic naïve or antipsychotic free>6 months, psychotic bipolar disorder (n = 7 of 14) | Higher Bmax for people with psychosis (bipolar and schizophrenia) compared to controls, correlation with psychotic symptoms | |
Suhara et al, 1992 (69) |
| Depressed, n = 3, euthymic n = 6, mania, n = 1 | 10;21 | Drug free for one week, n = 9 | ↓ D1, in frontal cortex |

Stay updated, free articles. Join our Telegram channel

Full access? Get Clinical Tree


