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Enregistrement W1522932198 · doi:10.1111/j.1755-5949.2011.00250.x

Schizophrenia Diagnosis and Treatment

2011· editorial· en· W1522932198 sur OpenAlexaff
Philip Seeman

Notice bibliographique

RevueCNS Neuroscience & Therapeutics · 2011
Typeeditorial
Langueen
DomaineMedicine
ThématiqueSchizophrenia research and treatment
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésDopamine hypothesis of schizophreniaSchizophrenia (object-oriented programming)DopaminePsychosocialPsychiatryNeuroscienceDopamine receptor D3AntipsychoticPsychologyMedicineDopamine receptor D2

Résumé

récupéré en direct d'OpenAlex

It used to be said that “Schizophrenia is as schizophrenia does,” meaning that the illness defies definition. This has not changed. Diagnoses are fluid [1] and, in many instances, the psychosocial imprint overshadows the biology. It is not surprising, therefore, that the focus of research attention shifts, from street drugs [2, 3] to social isolation, to genetic mutations [4]. Despite this wide range of research strategies, a common component or a final common path for the varied signs and symptoms of schizophrenia continues primarily to be disturbed dopamine pathways in the brain, with modifying influences from serotonin [5] and glutamate neurotransmission. The research path to uncovering the biological source of schizophrenia veers from one strategy to another, but, as a general rule, it's important to build on strength. The dopamine basis is an important strength [6, 7], although there are many biochemical pathways that are critical in influencing dopamine neurotransmission [8]. Given that there are many avenues to schizophrenia, it continues to be surprising that primarily dopamine-interfering drugs are currently successful in the clinic, but drugs affecting serotonin or glutamate transmission are still under investigation. A window to new therapeutics may be the recent discovery of receptor dimers and multimers [9]. The abiding art of psychiatry is becoming more scientific. The alleviation of signs and symptoms in schizophrenia generally occurs when 60–70% of brain dopamine D2 receptors are occupied by antipsychotic medications [10, 11]. Dopamine D3 receptors are much less occupied by antipsychotics. In addition, there continues to be an active search for reliable bio-markers of schizophrenia or the prodrome to schizophrenia. Although considerable data indicate elevations of dopamine D2High receptors in animal models of schizophrenia [2, 7], the levels of D2High in vivo in animals and in schizophrenia patients are technically difficult to measure. In principle, radioactive dopamine agonists would be expected to prefer attaching to D2High receptors, while radioactive dopamine antagonists should label both D2High and D2Low receptors. However, some studies report that radioactive dopamine agonists and antagonists have equal preference for D2High and D2Low receptors [12], while other studies find that agonist binding is consistently more sensitive to competition by endogenous dopamine [13-17], suggesting a difference between the properties of D2High and D2Low receptors. Moreover, the density of D2High receptors labeled by the radioactive agonist [3H]NPA differs by 25% to 50% from the density of D2 receptors labeled by the radioactive antagonist [3H]raclopride [18]. In addition, the in vivo binding of [11C]raclopride and [11C]MNPA go in opposite direction in animals under stress [19]. However, a bio-marker search for elevated D2High receptors in dopamine-supersensitive mice (genetically depleted of dopamine beta-hydroxylase) found a rise of 9% in the apparent BPND (Binding Potential) for D2High receptors11 The rise occurred in the Binding Potential or BPND, where ND refers to the nondisplaceable density (BND) of receptors. The BPND is the density, BND, divided by the dissociation constant of the radioactive ligand (K; i.e., BPND= BND/K). Although not measured in vivo, the correct receptor density, B, is the displaceable component of ligand binding, as measured in vivo using a coinjected drug to determine the baseline amount of ligand binding. , using only a single dose of intravenous [11C]MNPA [20]. Unfortunately, the procedure used for [11C]MNPA binding [20] did not determine baseline binding by co-administering a non-radioactive congener [21, 17]. They also found an increase of 12% (from 44% to 56%) in the proportion of D2High receptors labeled by [3H]methylspiperone and competed by dopamine [20]. It would have been preferable if the latter study had been done with [3H]domperidone, which more readily reveals elevated D2High receptors [7]. In fact, while the BPND of D2High receptors, using the [11C]PHNO agonist, was found normal in 13 untreated schizophrenia individuals [22], a preliminary result on schizophrenia-like prodromal subjects indicates an elevation in D2High receptors, as labeled by [11C]PHNO [23]. A second possible bio-marker of schizophrenia is the increased releasability of dopamine triggered by an intravenous injection of amphetamine [6], based on the principle that endogenous dopamine competes with the injected radio-ligand [24]. It is also possible that the increased release of dopamine from the presynaptic terminal leads to an increase in the number of D2 receptors in the D2High state [25]. With many probable causes for the conditions we call schizophrenia [7], it may be difficult to find a single bio-marker or treatment that addresses all the varieties of these illnesses. However, the search continues, and this Special issue on Schizophrenia, by outlining current research approaches, moves us closer to finding improved diagnosis and treatment. The author has no conflict of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,543
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,077
Tête enseignante GPT0,338
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations8
Publié2011
Routes d'admission1
Résumé présentoui

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