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Enregistrement W2324685961 · doi:10.1017/s1461145712000995

Repurposing buspirone for drug addiction treatment

2012· article· en· W2324685961 sur OpenAlexaff
Bernard Le Foll, Isabelle Boileau

Notice bibliographique

RevueThe International Journal of Neuropsychopharmacology · 2012
Typearticle
Langueen
DomaineNeuroscience
ThématiqueNeurotransmitter Receptor Influence on Behavior
Établissements canadiensUniversity of TorontoCentre for Addiction and Mental Health
Organismes subventionnairesNational Institute on Drug Abuse
Mots-clésBuspironeDopamine receptor D2Context (archaeology)ReceptorDopamine receptorDrugDopamineNeurosciencePharmacologyDrug repositioningDopaminergicBiologyGeneticsAgonist

Résumé

récupéré en direct d'OpenAlex

There has been considerable interest in modulating dopaminergic transmission for drug dependence treatment. However, the fact that dopamine (DA) acts through different receptor subtypes that may have different, perhaps opposing, properties have made the development of viable treatment strategies complex and challenging. It was initially thought that only two receptor subtypes, D1 and D2 receptors, defined on the basis of their distinct transduction mechanisms and pharmacological profiles, mediated the pleiotropic actions of DA. However, soon after D1 (Monsma et al.1991) and D2 (Bunzow et al.1988) receptors were cloned, D3 (Sokoloff et al.1990), D4 (van Tol et al.1991) and D5 (Sunahara et al.1991) receptors were also discovered. Those five DA receptor subtypes, termed DRD1–DRD5 are categorized as either D1-like (DRD1 and DRD5) or D2-like (DRD2, DRD3 and DRD4) based on sequence homology and pharmacology (Le Foll et al.2009). Among those receptors, we and others have proposed that targeting the DRD3 (Heidbreder & Newman, 2010; Le Foll et al.2005; Newman et al.2005) and DRD4 (Yan et al.2012) may be a novel strategy for treatment of drug dependence. However, despite the recent development of promising molecules (particularly DRD3 ligands) by multiple pharmaceutical drug companies, the translational move forward to the clinic has been stalled, in part because of the loss of interest by pharmaceutical companies, of research in the area of neuropsychiatric disorders. In this context, the report recently published by Bergman et al. (2012) suggesting that buspirone binds to DRD3 and DRD4 (among other targets), and may thus aid drug-use cessation, is exciting and timely, especially considering that buspirone is an already-approved medication with a known side-effect profile, which may hasten potential clinical translation (Bergman et al.2012). Several factors have contributed to the growing popularity of the DRD3 as a key player in addiction. First, the anatomy of the DRD3 system suggests that it might be involved in addiction. While the DRD2 receptor is associated with mesocortical and mesohippocampal DA systems, DRD3 is associated with the ventral forebrain mesolimbic DA system (Sokoloff et al.1990). As such, the DRD3 is particularly well positioned to influence reward, emotion and motivation and, by extension, drug-seeking and relapse mechanisms. Second, compared to DRD2, the DRD3 receptor subsystem is subject to a unique, perhaps opposing, functional response to repeated DA agonism, as occurs in drug abuse. Studies using animal models of addiction have previously shown low D2-like receptor expression, and positron emission tomography (PET) imaging studies in humans addicted to cocaine, methamphetamine, alcohol and nicotine have echoed these findings (for review, see Volkow et al.2009). In contrast, preclinical data show an up-regulation of DRD3 expression following exposure to DA-elevating drugs, including cocaine, nicotine and alcohol (for review, see Heidbreder & Newman, 2010; Le Foll et al.2005). Third, several post-mortem studies have reported consistent findings in humans, showing higher levels of DRD3 in the brain of cocaine overdose fatalities compared to control cases who did not use cocaine (Mash, 1997a, b; Segal et al.1997; Staley & Mash, 1996). Fourth, recent PET data from our group suggest that DRD3 levels are higher in individuals who abuse psychostimulants (Boileau et al.2012). This effect occurs in DRD3-rich areas including ventral pallidum, substantia nigra and globus pallidus. Finally, in animal models, DRD3-selective antagonists have been shown to decrease seeking of and relapse to a variety of drugs of abuse, including psychostimulants, nicotine, alcohol and heroin, and it has been hypothesized that the DRD3 modulates the motivation to seek drugs and notably contributes to the relapse phenomenon (Heidbreder et al.2005; Le Foll et al.2005). The findings reported by Bergman et al. raise the possibility that buspirone may be a readily available (and currently the only) DRD3 antagonist available in the clinic. This could be surprising for clinicians who have been using buspirone for years. Buspirone was initially developed as an antipsychotic drug acting on DA DRD2 receptors (Apter & Allen, 1999). However, its lack of antipsychotic activity and ability to reduce aggressive behaviour and anxiety led to its use for anxiety disorders. Its anxiolytic effects are believed to be mediated through its partial agonist properties at the 5-HT1A receptor. However, since one PET study in humans has shown low occupancy (<26%) of the 5-HT1A by buspirone in clinical doses (Rabiner et al.2000), and since the DRD3 has been recently implicated in anxiety (Diaz et al.2011), some therapeutic effects of buspirone may be mediated through the DRD3. The in vitro data indicate a 2-fold affinity selectivity and an 11-fold functional selectivity of DRD3 over 5-HT1A and 70-fold affinity selectivity over DRD2 (Kula et al.1994). One previous occupancy PET study in non-human primates showed that buspirone occupies 70–90% of the 5-HT1A receptors with a single dose of 5 mg/kg, showing an ED50 of 2.2 mg/kg (Bruning et al.1989; Farde et al.1997; Kula et al.1994). Based on the occupancy and ED50 for 5-HT1A, and the in vitro selectivity of DRD3 over 5-HT1A, it can be estimated that buspirone administered in a dose approved for clinical use (around 1 mg/kg) will occupy between 50–85% of the DRD3. This question can now be addressed in humans in vivo, as our PET centre has developed the agonist radiotracer [11C]-(+)-PHNO, a DRD2/DRD3 PET agonist radiotracer for use in humans (Willeit et al.2006). [11C]-(+)-PHNO has high in vitro affinity for the DRD2 and DRD3 and shows preferential affinity and selectivity in vivo for the DRD3 (Narendran et al.2006). Recent studies showing that the fraction of [11C]-(+)-PHNO binding attributable to DRD3 varies by region (Tziortzi et al.2011) confirm that [11C]-(+)-PHNO is a D3 preferential PET radiotracer in some areas and suggest that this tracer can be used to collect information on the occupancy of DRD3 by buspirone. This information will be critical in expanding the findings of Bergman et al. to humans and could guide the clinical development of buspirone for addiction treatment. It also appears very important to determine in future studies what downstream receptor(s) mediate(s) the effects of buspirone. In addition to the known pharmacological effects at the serotonin receptors, Bergman et al. report that buspirone and some of its metabolites have significant antagonist properties for the DRD3 and DRD4. Careful pharmacological studies and use of transgenic animals will allow us, in the future, to define the downstream receptors responsible for the effects of buspirone. Of particular interest is the potential role of DRD4. We have recently reported that the selective DRD4 antagonist (L-745, 870) significantly attenuates reinstatement of nicotine seeking induced by both nicotine-associated cues and nicotine priming, while having no effects on nicotine taking (Yan et al.2012). This suggests that blocking the DRD4 could attenuate drug-seeking behaviour, a phenomenon that may be reflected in the effects of buspirone. It is clear that this is the beginning of the exploration of buspirone in different models of drug addiction. Determining precisely how selective those effects are, and whether they are maintained after chronic administration, will be among the critical new information to be collected in the coming years. It is notable that the findings by Bergman et al. appear at a time of crisis for development of new medications for psychiatric disorders. Several pharmaceutical drug companies, in part deterred by increasing litigation hazards over side-effects of new drugs, long development times and high failure rates, have taken clear steps to decrease their investment in this area. In response, the National Institutes of Health recently announced the creation of a new institute, the National Center for Advancing Translational Sciences. One of the first initiatives of this new centre is a partnership with industry to speed up discovery of new therapeutic uses for existing molecules. This strategy has numerous advantages over the investments made into new molecules, which may eventually be stopped in their development for lack of effectiveness in their target indications or other reasons. The findings of Bergman et al. are a timely reminder that seeking alternative uses for existing molecules, including recently developed drugs as well as drugs available in the clinic, can be a worthwhile enterprise. We thank Dr Ariel Graff-Guerrero for useful discussions on D3 occupancy by buspirone. Dr Le Foll has received speakers' fees, consulting and research grants from Pfizer, Mylan Pharmaceutical, Richter Pharmaceutical and Lundbeck.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,053

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0160,004

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 Opus0,057
Tête enseignante GPT0,371
Écart entre enseignants0,314 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

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

En bref

Citations15
Publié2012
Routes d'admission1
Résumé présentoui

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