Identification and characterization of a novel population of hypothalamic neurons sensitive to leptin and GLP-1
Notice bibliographique
Résumé
The arcuate nucleus of the hypothalamus (ARC) is considered a major site for the integration of metabolic signals and the regulation of energy balance. In the ARC, ‘catabolic’ pro-opiomelanocortin (POMC) and ‘anabolic’ agouti-related peptide (AgRP)-expressing neurons are widely recognized for their role in the regulation of energy homeostasis. Leptin and glucagon-like peptide 1 (GLP-1) are two important hormonal signals of the energy state that can mediate some of their effects through POMC and AgRP neurons. However, recent work suggests that unidentified GABAergic neurons of the ARC may also be crucial for the integration of metabolic signals and the regulation of energy balance. Based on RNAseq studies, we recently identified an uncharacterized neuronal population of the ARC that robustly express the New arcuate transcript ( Nat). According to their localization and GABAergic phenotype, we hypothesize that Nat-expressing neurons are sensitive to various metabolic signals and that they play an important role in the control of energy homeostasis. Therefore, we aimed to characterize the molecular signature of Nat-expressing neurons in the ARC. We also aimed to determine whether leptin and GLP-1 can modulate the activity of these neurons.We first used the RNAscope ® multiplex in situ hybridization technology on coronal brain slices from male mice. This allowed us to validate the GABAergic nature of Nat-expressing neurons, to confirm that they are distinct from POMC and AgRP neurons, and to determine whether they express the leptin and GLP-1 receptors ( Lepr and Glp1r respectively). We then administered leptin and the GLP1R agonist liraglutide to mice and evaluated C-FOS immunoreactivity in Nat-expressing neurons of the ARC.We found that Nat-expressing neurons represent a GABAergic population highly enriched in the ARC, and distinct from POMC and AgRP neurons. Subsets of Nat-expressing neurons co-express Lepr (18.3%), while others co-express Glp1r (35.3%). Finally, C-FOS immunoreactivity suggests that the activity of Nat-expressing neurons can be modulated in response to some metabolic signals. Together, our results suggest a potential role for Nat-expressing neurons in the integration of various metabolic cues. The recent development of a novel Nat-IRES-Cre mouse model will allow us to better characterize the metabolic functions of this new GABAergic neuronal population of the ARC. This work was supported by funding from the Canada Research Chairs Program (to A.C.), the Montreal Diabetes Research Center (to A.C.), the foundation of the Quebec Heart and Lung Institute (FIUCPQ, to A.C), and the Fonds d'enseignement et de recherche (FER) of the Faculty of Pharmacy of Université Laval (to N.J.M. and A.C.). N.J.M. was supported by a Sentinel North Partnered Research Chair in Sleep Pharmacometabolism (Canada First Research Excellence Fund) and a Fonds de Recherche du Québec – Santé (FRQS) Research Scholar J1 award. O.L. was supported by a Canada graduate scholarship (CIHR) and a Fonds de Recherche du Québec – Santé (FRQS) graduate scholarship. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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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 ».