Neurobiological Aetiology of Mood Disorders



Neurobiological Aetiology of Mood Disorders


Guy Goodwin



Introduction

Neurobiology provides an explanation of behaviour or experience at the level, either of systems of neurones or individual cells. The current era of progress is driven by contemporary cognitive neuroscience and a rapid evolution in the platform technologies of imaging and genetics. These will allow us to improve our accounts of the functional anatomy of the component elements of mood and its disorder, their functional neurochemistry and, in all probability, give meaning to what a cellular account of depressive illness may eventually describe. This chapter will offer a partial and personal view of these developments to date.

There are now authoritative models of causation in mood disorder, established from well designed, large-scale twin studies (see Chapter 4.5.5). These inform the classical formulation of mood disorder as requiring a vulnerability, a precipitating factor or factors, and maintaining factors which prevent spontaneous recovery. Neurobiology will be addressed under these headings.


Vulnerability to mood disorder

The key vulnerability factors appear to be genes, temperament (also in substantial part genetic), and early adversity. There has been limited work on the neurobiology of these risk factors, as opposed to the vast effort to understand the depressed phenotype. However, for potential prevention either of onset or relapse, such factors appear more logical targets for current research effort and will be covered first. Success in depression would parallel that seen in moving the management of heart disease from the acute episode of infarction to the treatment of metabolic risk factors.


(a) Genetics

Neurobiology has informed the genetic search for candidate genes, starting with the human serotonin transporter (SERT) gene (see Chapter 4.5.5). There has been a terrific proliferation of possible genetic effects deriving from neurobiological theories designed either to explain elements of the actions of psychotropic drugs, the depressed phenotype or from animal experiments. The latter are limited by the validity of animal models of depression per se. Some of the former will be noticed below.

Genes making small contributions to the risk of psychiatric disorder are emerging from direct analysis of the genome (see Chapter 2.4.2). Consistent findings must inform biological investigations in future. At this point it is uncertain whether insights will come from studying variation in individual genes, as has often been assumed, or from a much more complex understanding of cellular function regulated only in part by genetic variation. On the latter assumption the role of genetic hits is to direct attention to processes which may go wrong in the relevant disease. For mood disorder, these seem likely to be developmental or related to stress regulation.


(b) Temperament

The way in which genes may regulate the expression of vulnerability traits is suggested by animal studies. For example, when animals are selected for differences in emotional behaviour they also show different hypothalamic–pituitary–adrenal (HPA) axis function. Specifically, Roman high- and low-avoidance rats differentially acquire a two-way active avoidance response in a shuttle box. High-avoidance animals show greater prolactin and HPA axis responsivity to stress compared with low-avoidance animals. However, young Roman strain rats show identical HPA axis reactivity, although prolactin responses and behaviour are different.(1) In other words, reactivity to the environment may share a measure of common genetic control across physiological and behavioural domains, but HPA abnormality per se develops secondary to emotional experience, or at least is magnified by it.

In human studies, neuroticism is an old psychological construct often criticized as reflecting an average or habitual mood state rather than a truly independent risk. We have studied extremes of the dimension (high and low N) in young subjects before the onset of depression and in older groups who may or may not have experienced depressive episodes. Interestingly, high neuroticism with or without a history of depression is associated with increased awakening cortisol(2) in mature subjects, but not in subjects under 20 years of age, echoing the rodent finding. Thus, N has a purely biological consequence that develops with emotional experience, but is independent of depression per se.

What the neuroticism construct has also lacked hitherto has been a plausible psychological dimension. Cognitive bias relevant to the onset of depression can be detected in young high N subjects. In emotional categorization and memory tasks, high N volunteers were faster to classify dislikeable self-referent personality characteristics and produced fewer positive memory intrusions. They also had a higher threshold for identifying happy faces. This suggests the hypothesis that risk for depression is largely manifest as reduced positive processing of emotional information(3); increased negative processing appears to develop only after the actual experience of depression. Neural biases underlying this behaviour are even more readily detected.(4) Our hypothesis is that high neuroticism is not just an habitual low mood but is biologically founded in negative biases in attention, processing, and memory for emotional material. Indeed, there is now genetic evidence favouring a common genetic locus in human beings and rodent.(5) How emotional bias translates into either low-level symptoms or a full mood episode will be of great interest. Furthermore, depressive episodes per se appear to have an impact on brain function, and increase the risk of further relapse (see below).


(c) Early adverse experience

Adverse childhood experience was identified in genetically uncontrolled studies as a risk factor predisposing women to subsequent
depression (Chapter 4.5.5) and has been confirmed in genetically informative designs.(6) In a clinical context, such developmental or social effects are usually viewed as separable from biology. Indeed, their very existence is usually taken to validate a ‘social’ approach to psychiatry. From a more unified point of view, however, one would predict measurable neurobiological consequences. In fact, such effects have proved to be more profound than most biologists anticipated.

Variations in maternal care produce individual differences in neuroendocrine responses to stress in rats. The offspring of mothers that exhibited more licking and grooming of pups during the first 10 days after birth showed, in adult life, reduced plasma ACTH and corticosterone responses to acute stress.(7) In addition, there was increased hippocampal glucocorticoid-receptor messenger RNA (mRNA) expression, enhanced glucocorticoid feedback sensitivity, and decreased levels of hypothalamic corticotrophinreleasing hormone (CRH) mRNA. Greater early maternal attention also substantially reduced subsequent behavioural fearfulness in response to novelty, increased benzodiazepine receptor density in the amygdala and locus coeruleus, increased α2-adrenoreceptor density in the locus coeruleus, and decreased CRH receptor density in the locus coeruleus. Thus, maternal care serves to programme behavioural responses to stress in the offspring by altering the development of the neural systems that mediate fearfulness.

When BALB/cByJ mice were raised by an attentive C57BL/6ByJ dam, their excessive stress-elicited HPA activity was reduced, as were their behavioural impairments. However, cross-fostering the more resilient C57BL/6ByJ mice to an inattentive BALB/cByJ dam failed to elicit behavioural disturbances. In other words, vulnerable offspring may have their problems exacerbated by maternal behaviour, while early-life manipulations may have less obvious effects in relatively hardy animals.(8) Whether separation or stress paradigms in rodents can be taken as precise models of the mechanisms underlying the risk of mood disorder or other psychiatric problems cannot yet be decided, but their general relevance to the human case seems obvious. At present, data in human subjects is limited but findings that relate to the better characterized animal models are emerging.(9)

In fact, epidemiological data have linked increased risks of cardiovascular, metabolic, neuroendocrine, and psychiatric disorders in adulthood with an adverse foetal environment as well. Glucocorticoid excess may be the mechanism.(10) Low-birthweight babies have higher plasma cortisol levels throughout adult life, which suggests a permanent change in HPA function. Whether such effects and later effects of environmental stress in childhood can in part mediate co-morbidity between a range of psychiatric and physical disorders is of growing contemporary interest. It is unclear how, over- or underactivity in stress regulation contributes to psychiatric disorder: both appear to be implicated since awakening cortisol responses may be blunted in subjects with early adversity(9) or enhanced in at risk neurotic individuals.

Gene–environment interaction is the likely basis of the neurobiology of mood disorder. In general terms this must be correct. Either the genetic/biological or the environmental factors could be targets for prevention. Whether the genetic mechanisms can be brought into sufficient focus to allow specific new pathways to be identified remains the major current challenge. It is often assumed that mediating characteristics or the endophenotype may have a simpler genetic architecture than the disease itself: unfortunately, the evidence so far gives reason for caution. This debate is currently very polarized between optimists (see Chapter 2.5.3 by Meyer-Lindenberg & Goldberg) and pessimists (see Chapter 2.4.2 by Flint). The genetic and developmental routes into distal common pathways regulating stress responses may be very numerous. Disorders that are both common and very variable in expression, such as depression, may turn out to have little specificity that is worth talking about. Every illness may be an ensemble of many specific factors, none of which is individually going to lead to a more focused treatment or a better prediction of treatment response.


Precipitating factors: the neurobiology of life events

Like early adversity, the role of life events in depression has been affirmed in genetically controlled studies. Life events are relevant to almost all first episodes of depression, but are less significant in its recurrence. The biology of life events is subsumed in the biology of stress, at best a clumsy term. In human studies it will be always difficult to isolate the critical ingredients of a particular psychological stress from the individual differences that stressed individuals bring to their experience. There have been few recent contributions to the field of direct relevance to depression.(11) However, a key clinical feature of the illness course in depression is the association of life events most strongly with first episodes of depression. Subsequent episodes appear to need a less substantial environmental trigger, as if the patient becomes sensitized.(12) Patients with a strong family history may effectively be presensitized. Accordingly the effect of life events and the brain changes that occur with repeated or chronic illness is of great relevance to prevention and reduction of the risk of future episodes.


Maintaining factors: biological studies of the depressed state

In the majority of biological studies of affective disorder, patients have been studied when ill and compared with normal controls. Over the years, this kind of design has produced a range of positive findings, usually of modest effect. It remains true to say that no biological changes have ever been found that distinguish between depressed patients and controls better than does the clinical assessment of the patients. What is also curious, and not a little tantalizing, is the impression that some symptoms may, in part, represent biological adaptations directed to put things right. Thus, on the one hand, there may be consistent effects upon hormone secretion or sleep that represent phenomena of illness. On the other, deliberate changes in hormone status or sleep deprivation may modify the state of depression. Depression is also so common in its less severe forms, that it is tempting to see it as a biologically adaptive mechanism in response to loss or social defeat. Informative animal analogues might be expected to exist, but theoretical comparisons with other biological models such as early separation in primates or hibernation in bears are limited by the species gap.(13)

However, what makes depression the clinical burden it is, remains its tendency to persist and sometimes become chronic. The biological factors contributing to this are still poorly understood, but they would provide an obvious target for novel drug development. In general it is not yet obvious which symptoms of acute depression are related to this key biology and which are either irrelevant or even adaptive. If there is now a consistent interest, it has been
stimulated by the gradual acceptance that some cells divide to produce neurones in the mature brain, especially in the hippocampus. It is very tempting to suppose that the plastic effects maintaining the unwanted brain state in depression may be related to neurogenesis or its failure, which is a beautiful hypothesis requiring confirmation by direct evidence.


(a) The depressed state: functional anatomy

Perfusion or metabolic imaging can indirectly detect changes in neuronal activity (see Chapters 2.3.6 and 2.3.8). Signals can be well localized, but their meaning is ambiguous. They may reflect either reversible changes in function or a semi-permanent loss of neuronal connectivity. Reductions in function in anterior brain structures have been typical in major depression. Hypoperfusion tends to be greatest in frontal, temporal, and parietal areas and most extensive in older patients; high Hamilton scores tend to be associated with reduced perfusion.(14) Reductions in frontal areas may be more likely in patients with impoverished mental states. Thus, neuropsychological testing in major depression shows evidence of slowing in motor and cognitive domains, with additional prominent effects on mnemonic function that are most marked in the elderly. These effects are correlated with reduced frontal perfusion in the elderly. In younger patients, there may actually be increased perfusion in the frontal and cingulate cortex. Metabolic increases in the cingulate gyrus have been associated with a good treatment response.(15) Highly localizing findings have been unusual, however. The only exceptions have been within-subject changes on recovery in the mesial frontal cortex and perhaps the basal ganglia.(14)

There has been a dramatic expansion of imaging studies of emotional processing in normal volunteers, now usually with fMRI (see Chapters 2.3.8 and 2.5.4). It is well summarized by meta-analysis of over 300 such emotion induction and cognitive task. Emotion induction resulted in inferior medial activation and cognitive tasks resulted in dorsolateral activation.(16) However, the broad spread of precise loci of activation means that localization within the frontal lobes has proceeded little further. It may explain the diffuse reports typical of the depression literature. Nevertheless, a focus on limbic activity has led to quite specific, quasineurological hypotheses about connectivity in frontal areas and to treatment innovation: deep brain stimulation adjacent to subgenual cingulated cortex (Brodmann area 25).(17) How effective, and how localized this treatment effect really is, will be an important challenge to the field. However, it underlines that ‘functional imaging’ of brain perfusion primarily informs anatomy.

Isotope-based imaging of receptor occupation could more plausibly offer mechanistic understanding of psychiatric disorder. In depression, it has progressed with the availability of suitably informative ligands. However, the field generally tends to employ small sample sizes, and fundamental advances are difficult to identify. Single-photon emission tomography (SPET or SPECT) with the dopamine D2/3 ligand [123I]IBZM showed increased binding in the striatum.(18) There were significant correlations between IBZM binding in the left and right striatum and measures of reaction time and verbal fluency, but not of mood as such. This finding has been confirmed with a PET ligand.(19) Increased D2/3 binding in the striatum probably reflects a reduced dopamine function, whether due to a reduced release or secondary upregulation of receptors. Binding to the 5-HT1a receptor appears to be reduced in unipolar depression, an effect also present in recovered atients.(20)

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Sep 9, 2016 | Posted by in PSYCHIATRY | Comments Off on Neurobiological Aetiology of Mood Disorders

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