Dietary fatty acid composition drives neuroinflammation and impaired behavior in obesity
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Nutrient composition in obesogenic diets may influence the severity of disorders associated with obesity such as insulin-resistance and chronic inflammation. Here we hypothesized that obesogenic diets rich in fat and varying in fatty acid composition, particularly in omega 6 (ω6) to omega 3 (ω3) ratio, have various effects on energy metabolism, neuroinflammation and behavior. Mice were fed either a control diet or a high fat diet (HFD) containing either low (LO), medium (ME) or high (HI) ω6/ω3 ratio. Mice from the HFD-LO group consumed less calories and exhibited less body weight gain compared to other HFD groups. Both HFD-ME and HFD-HI impaired glucose metabolism while HFD-LO partly prevented insulin intolerance and was associated with normal leptin levels despite higher subcutaneous and perigonadal adiposity. Only HFD-HI increased anxiety and impaired spatial memory, together with increased inflammation in the hypothalamus and hippocampus. Our results show that impaired glucose metabolism and neuroinflammation are uncoupled, and support that diets with a high ω6/ω3 ratio are associated with neuroinflammation and the behavioral deterioration coupled with the consumption of diets rich in fat.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Brain, Behavior, and Immunity |
| Vol/bind | 117 |
| Sider (fra-til) | 330-346 |
| Antal sider | 17 |
| ISSN | 0889-1591 |
| DOI | |
| Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:
This work has been supported by the National Research Agency (ANR), through the UCAJEDI Investments in the Future project with the reference number ANR-15-IDEX-01, the LABEX SIGNALIFE program with the reference number ANR-11-LABX-0028–0 and the contract ANR-21-CE14-0033.
Funding Information:
We thank the animal facility of the Institut de Pharmacologie Moléculaire et Cellulaire (IPMC), especially Thomas Lorivel, Alain Barbot and Pauline Pozzo di Borgo for animal care, the microscopy facility from the IPMC part of the « Microscopie Imagerie Côte d'Azur » GIS IBiSA labeled platform, especially Frédéric Brau and Sophie Abelanet for imaging assistance, the lipidomic facility from the IPMC, especially Delphine Debayle for the supervision of analysis. We thank also Céline Cansell (Université Paris-Saclay, INRAe, AgroParisTech, Jouy-en-Josas, France) for her support to metabolic cages data analysis, Lucy Martine and Stéphane Grégoire (Université de Bourgogne, Eye and Nutrition Research Group, Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAe, Institut Agro, Dijon, France) for lipid analyses, Adrian Coutteau-Robles and Marion Martin (Université de Lille, Lille Neurosciences et Cognition, INSERM, Lille, France) for RNAscope technical assistance.
Publisher Copyright:
© 2024 The Author(s)
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