Notice bibliographique
Résumé
Back to table of contents Previous article Next article Clinical & Research NewsFull AccessGenetics May Explain Why Some Drugs Cause Weight GainJoan Arehart-TreichelJoan Arehart-TreichelSearch for more papers by this authorPublished Online:7 Jan 2005https://doi.org/10.1176/pn.40.1.00400032Although weight gain is often associated with the use of antipsychotic drugs, not all schizophrenia or bipolar patients taking them gain a lot of weight. In fact, at most only about half of them do. Thus, there is reason to suspect that antipsychotic-induced obesity might be due, at least in part, to a genetic susceptibility.Yvon Chagnon, Ph.D., a molecular biologist and director of the Genomic Laboratory at Laval University in Beauport, Quebec, Canada, and his colleagues have confirmed that suspicion. They reported in the December Molecular Psychiatry that they found a gene variant associated with antipsychotic-induced obesity in a particular region of chromosome 12.Chagnon and his coworkers performed gene scans on more than 500 persons who had either schizophrenia or bipolar disorder or who were relatives of individuals with schizophrenia or bipolar disorder—that is, on 21 multigenerational families. The scientists then learned that out of these some 500 persons, 128 were being treated with antipsychotics, and of the 128 on antipsychotics, 39 (30 percent) were obese.The researchers then determined that, of the 39 individuals who were taking antipsychotics and who were obese, 31 belonged to families in which two or more members on antipsychotics were also obese. In other words, nine out of the original 21 multigenerational families had two or more members who were taking antipsychotics and were obese.The investigators then submitted genetic information from members of these nine multigenerational families to linkage analysis to determine whether they could find a link between antipsychotic-induced obesity and a particular gene variant.A variant of a particular stretch of DNA on chromosome 12 was found to be associated with antipsychotic-induced obesity. Thus this region, or a gene nearby, might be partially responsible for the condition, the scientists believe. Moreover, the DNA patch is located very close to a gene known to control food intake and energy expenditure.These results have practical implications for clinical psychiatrists. The main application, Chagnon told Psychiatric News, is to develop a genetic test that can be used to identify patients susceptible to antipsychotic-induced weight gain.“A better understanding of the pathophysiology of weight gain associated with antipsychotics could also facilitate a better treatment of this crippling effect, as well as lead to the development of new antipsychotics devoid of this side effect,” Marc-André Roy, M.D., an assistant professor of psychiatry at the University of Laval and one of the study authors, added.An abstract of the study, “A Genomewide Linkage Study of Obesity as Secondary Effect of Antipsychotics in Multigenerational Families of Eastern Quebec Affected by Psychoses,” is posted online at<www.nature.com/cgi-taf/DynaPage.taf?file=/mp/journal/v9/n12/abs/4001537a.html>.▪ ISSUES NewArchived
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».