Changes in neurotensin signalling drive hedonic devaluation in obesity

Calorie-rich foods, particularly those that are high in fat and sugar, evoke pleasure in both humans and animals. However, prolonged consumption of such foods may reduce their hedonic value, potentially contributing to obesity. Here we investigated this phenomenon in mice on a chronic high-fat diet (HFD). Although these mice preferred high-fat food over regular chow in their home cages, they showed reduced interest in calorie-rich foods in a no-effort setting. This paradoxical decrease in hedonic feeding has been reported previously, but its neurobiological basis remains unclear. We found that in mice on regular diet, neurons in the lateral nucleus accumbens (NAcLat) projecting to the ventral tegmental area (VTA) encoded hedonic feeding behaviours. In HFD mice, this behaviour was reduced and uncoupled from neural activity. Optogenetic stimulation of the NAcLat→VTA pathway increased hedonic feeding in mice on regular diet but not in HFD mice, though this behaviour was restored when HFD mice returned to a regular diet. HFD mice exhibited reduced neurotensin expression and release in the NAcLat→VTA pathway. Furthermore, neurotensin knockout in the NAcLat and neurotensin receptor blockade in the VTA each abolished optogenetically induced hedonic feeding behaviour. Enhancing neurotensin signalling via overexpression normalized aspects of diet-induced obesity, including weight gain and hedonic feeding. Together, our findings identify a neural circuit mechanism that links the devaluation of hedonic foods with obesity.

Authors

Publication Details

Journal
Universität Zürich, ZORA
Published
2025-05-01
DOI
https://doi.org/10.5167/uzh-282204
Primary Topic
Regulation of Appetite and Obesity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Changes in neurotensin signalling drive hedonic devaluation in obesity

Stephan Lammel, Christine Junhui Liu, Lilly W. Tang, Yihan Jin et al.
Universität Zürich, ZORA
Regulation of Appetite and Obesity
article

Changes in neurotensin signalling drive hedonic devaluation in obesity

Stephan Lammel, Christine Junhui Liu, Lilly W. Tang, Yihan Jin, Tamás Lukácsovich, Amanda J. Tose, Hongbin Yang, Charlotte Seng, Michael Tanios, Jonathan Read, Neta Gazit Shimoni, Lin Tian, Csaba Földy, Byung Kook Lim, Eric Hu
article en

Abstract

Calorie-rich foods, particularly those that are high in fat and sugar, evoke pleasure in both humans and animals. However, prolonged consumption of such foods may reduce their hedonic value, potentially contributing to obesity. Here we investigated this phenomenon in mice on a chronic high-fat diet (HFD). Although these mice preferred high-fat food over regular chow in their home cages, they showed reduced interest in calorie-rich foods in a no-effort setting. This paradoxical decrease in hedonic feeding has been reported previously, but its neurobiological basis remains unclear. We found that in mice on regular diet, neurons in the lateral nucleus accumbens (NAcLat) projecting to the ventral tegmental area (VTA) encoded hedonic feeding behaviours. In HFD mice, this behaviour was reduced and uncoupled from neural activity. Optogenetic stimulation of the NAcLat→VTA pathway increased hedonic feeding in mice on regular diet but not in HFD mice, though this behaviour was restored when HFD mice returned to a regular diet. HFD mice exhibited reduced neurotensin expression and release in the NAcLat→VTA pathway. Furthermore, neurotensin knockout in the NAcLat and neurotensin receptor blockade in the VTA each abolished optogenetically induced hedonic feeding behaviour. Enhancing neurotensin signalling via overexpression normalized aspects of diet-induced obesity, including weight gain and hedonic feeding. Together, our findings identify a neural circuit mechanism that links the devaluation of hedonic foods with obesity.

Universität Zürich, ZORA
Zero hunger
Openalex Percentile: Top 35%
Regulation of Appetite and Obesity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.