Hungry for Relief: Potential for Neurotensin to Address Comorbid Obesity and Pain.

Analgesia Feeding Lateral Hypothalamic Area Obesity

Journal

Appetite
ISSN: 1095-8304
Titre abrégé: Appetite
Pays: England
ID NLM: 8006808

Informations de publication

Date de publication:
07 Jun 2024
Historique:
received: 01 02 2024
revised: 31 05 2024
accepted: 03 06 2024
medline: 10 6 2024
pubmed: 10 6 2024
entrez: 9 6 2024
Statut: aheadofprint

Résumé

Chronic pain and obesity frequently occur together. An ideal therapy would alleviate pain without weight gain, and most optimally, could promote weight loss. The neuropeptide neurotensin (Nts) has been separately implicated in reducing weight and pain but could it be a common actionable target for both pain and obesity? Here we review the current knowledge of Nts signaling via its receptors in modulating body weight and pain processing. Evaluating the mechanism by which Nts impacts ingestive behavior, body weight, and analgesia has potential to identify common physiologic mechanisms underlying weight and pain comorbidities, and whether Nts may be common actionable targets for both.

Identifiants

pubmed: 38852785
pii: S0195-6663(24)00343-X
doi: 10.1016/j.appet.2024.107540
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107540

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None of the authors have any conflicts of interest related to this work.

Auteurs

Rabail Khan (R)

Neuroscience Program, Michigan State University, East Lansing, MI 48824.

Geoffroy Laumet (G)

Neuroscience Program, Michigan State University, East Lansing, MI 48824; Department of Physiology, Michigan State University, East Lansing, MI 48824.

Gina M Leinninger (GM)

Neuroscience Program, Michigan State University, East Lansing, MI 48824; Department of Physiology, Michigan State University, East Lansing, MI 48824. Electronic address: leinning@msu.edu.

Classifications MeSH