Neurobiology of severe mental disorders: from cell to bedside 25th International Symposium of the Centre de recherche en sciences neurologiques, Université de Montréal.
Notice bibliographique
Résumé
This and the next issue of the Journal of Psychiatry and Neuroscience include review articles written by leading scientists who participated in an international symposium entitled “Neurobiology of severe mental disorders: from cell to bedside” that was held in Montreal on May 4–5, 2003. Six of the review articles focus on the neurobiology of major depression, and 3 focus on the neurobiology of schizophrenia (see www.crsn.umontreal.ca/XXVs/program.html for further details about the symposium). Selective serotonin (5-HT) reuptake inhibitors (SSRIs) are the current treatments of choice for major depression. Their mechanisms of action have until recently guided most of the research aimed at understanding the neurobiologic bases of this disorder. Electrophysiologic and neurochemical experiments performed mainly on rodents revealed that these compounds act presynaptically and postsynaptically to alter in a time-dependent manner noradrenergic and/or serotonergic neurotransmission in limbic brain regions implicated in emotional responses. Celada et al1 review these mechanisms and extend them to cortico-limbic circuitry that comprises feedback loops to brain-stem serotonergic nuclei and is modulated by different subtypes of 5-HT receptors. They also describe mechanisms that contribute to increased clinical effectiveness and shortened onset of action of SSRIs. Although the role of norepinephrine (NE) and 5-HT in the action of antidepressant drugs is well supported by empirical findings, other neurotransmitter systems also come into play. As clearly outlined by several participants at the symposium, major depression involves a very complex network of neuronal and nonneuronal elements that mediate the no-less-complex clinical phenotype. Blier et al2 describe electrophysiologic and neurochemical studies (performed on normal and knockout rodents) that show that a neurokinin, substance P, acts on NE neurons to modulate 5-HT neurotransmission. Despite the mixed findings of clinical trials with neurokinin antagonists, further research is warranted to provide a clear understanding of the modulation of limbic neurotransmission by substance P. This may lead to a new therapeutic strategy that potentiates the clinical effectiveness of SSRIs, or to the development of a new antidepressant treatment mostly devoid of deleterious side effects, or both. Stress exerts a complex set of effects on the human organism and particularly on the central nervous system. Although it can be beneficial in some cases, it is thought to be an important factor in precipitating depression in vulnerable individuals. One of the major physiologic phenomena associated with stress is activation of the hypothalamic–pituitary–adrenal (HPA) axis. The relevance of this system to affective disorders is reviewed by Barden,3 who describes a series of studies that take advantage of genetic methods to provide support for a role of corticotropin and glucocorticoids in the behavioural phenotype of depression and in the mechanisms of action of antidepressant drugs. His findings suggest that these drugs act on transcription mechanisms to restore brain controls of homeostatic functions of the HPA axis. In the same vein, Malberg4 describes the relevance of neurogenesis (neuron and glial cells) to depression and its link to the HPA axis response via glucocorticoids. She reviews basic and clinical data showing that cell atrophy in the hippocampus is correlated with depression, is initiated in animals by stressful conditions that lead to depression-like behavioural phenotypes and is reversed by pharmacologic and nonpharmacologic antidepressant treatments. She reports that antidepressant treatments selectively induce neurogenesis and promote cell survival with a time course that approaches that of clinical responses. Together, these findings provide new important insights into the neurobiologic bases of the disorder and open new avenues for treatments that target not only primary symptoms but also the progression of the disorder. Major depression is indeed an emotional disorder, but it is also a cognitive disorder. The basic cortical mechanisms described by Celada et al1 are likely to account for the changes in cognitive functions initiated by SSRIs. Paus and Barrett5 review in more detail cognitive functions that are altered in depression and the cortical substrate(s) underlying, at least in part, some of these deficits. They provide a review of the application of a new, noninvasive treatment for depression, namely, repetitive transcranial magnetic stimulation, that may constitute a relevant alternative treatment to electroconvulsive therapy for a subpopulation of patients. This approach also has the potential to provide new insights into the functional neuroanatomy and neurochemistry (when combined with positron emission tomography) of cognitive deficits in depression. The genetic basis of depression still remains unclear, but the recent characterization of the human genome provides new hope. As clearly argued by Lesch,6 major depression, just like schizophrenia and other mental disorders (anxiety, neurodevelopmental disorders), results from a complex interaction of genotype, phenotype and the environment. Development of new research methods, such as microarrays and conditional knockout and knockin (overexpression) techniques, will shed light on these complex interactions. Studies in nonhuman primates provide empirical evidence in support of tight genetic–environment interactions in the development of abnormal behavioural responses and their neurobiologic bases. Although hotly investigated for more than 50 years, the neurobiologic basis of schizophrenia remains in large part a mystery. Because of the discovery that antipsychotic drugs act as dopamine receptor antagonists, the bulk of research efforts has focused on identifying the genetic, cellular and morphological basis of disruptions of the central dopamine system in schizophrenia. Although the dopamine system is certainly implicated in the symptoms of schizophrenia, new research efforts in the last decade have identified alternative and complementary suspects including the neurotransmitter glutamate and its receptors. A special section of the Montreal symposium addressed such new research directions by asking the following question: Should we not look “beyond monoamines”? This is a recurring theme in the 3 review articles that deal with schizophrenia. In their review of the pathophysiology of schizophrenia, Perlman et al7 note that new insights into our understanding of the perturbations of prefrontal cortex glutamate neurons and related subcortical structures in schizophrenia are likely to come from postmortem investigations that combine anatomical and molecular approaches with a genetic approach based on the identification of a number of candidate schizophrenia susceptibility genes. As in most areas of medicine, progress in improving treatments or in identifying new therapeutic approaches is greatly facilitated by the development of animal models. Because schizophrenia is largely a disease of cognition, developing a suitable animal model has long been and still is a major hurdle for modern research. In her review of the use of animal models to test the neurodevelopmental hypothesis of schizophrenia, Lipska8 describes recent progress in this direction. In particular, she proposes a model that goes “beyond monoamines” in that it does not implicate a direct manipulation of the dopamine system. Rather, transient interruption of neural activity in the hippocampus of neonatal rodents is shown to produce a delayed perturbation of cortical glutamatergic neurons and indirectly of subcortical circuits. It is proposed that these features partly mimic the progression of schizophrenia symptoms. The model is inclusive and, interestingly, not limited to hypothesizing a primary deficit within the mesocorticolimbic dopamine system. Finally, an interesting new twist on the possible roles of dopamine and glutamate in the pathophysiology of schizophrenia is highlighted by Trudeau,9 who summarizes mounting evidence from animal research that shows that dopamine-containing neurons in the brain most likely have the capacity to use glutamate as a co-transmitter. Together with similar findings suggesting co-release of glutamate with serotonin, the possible involvement of changes in the neurotransmitter phenotype of monoamine neurons in conditions such as schizophrenia and depression appears to be a promising new direction for future research. Together, the studies described in these review articles provide clear evidence that research is progressing at a fast rate. Hopefully, new findings generated in the next decade will provide a solid footing for the development of new treatment strategies that will be effective in a larger proportion of patients and possibly take us beyond symptom management.
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Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,006 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».