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- Title
Quantitative MRI Biomarkers Measure Changes in Targeted Brain Areas in Patients With Obesity.
- Authors
Baynat, Louise; Yamamoto, Takayuki; Tourdias, Thomas; Zhang, Bei; Prevost, Valentin; Infante, Asael; Klein, Achille; Caid, Julien; Cadart, Olivier; Dousset, Vincent; Cherifi, Blandine Gatta
- Abstract
Context Obesity is accompanied by damages to several tissues, including the brain. Pathological data and animal models have demonstrated an increased inflammatory reaction in hypothalamus and hippocampus. Objective We tested whether we could observe such pathological modifications in vivo through quantitative magnetic resonance imaging (MRI) metrics. Methods This prospective study was conducted between May 2019 and November 2022. The study was conducted in the Specialized Center for the Care of Obesity in a French University Hospital. Twenty-seven patients with obesity and 23 age and gender-paired normal-weight controls were prospectively recruited. All participants were examined using brain MRI. Anthropometric and biological data, eating behavior, anxiety, depression, and memory performance were assessed in both groups. The main outcome measure was brain MRI with the following parametric maps: quantitative susceptibility mapping (QSM), mean diffusivity (MD), fractional anisotropy (FA), magnetization transfer ratio map, and T2 relaxivity map. Results In the hypothalamus, patients with obesity had higher FA and lower QSM than normal-weight controls. In the hippocampus, patients with obesity had higher FA and lower MD. There was no correlation between imaging biomarkers and eating behavior or anxiety. Conclusion Our findings are consistent with the presence of neuroinflammation in brain regions involved in food intake. In vivo brain biomarkers from quantitative MRI appear to provide an incremental information for the assessment of brain damages in patients with obesity.
- Subjects
DIETARY patterns; OBESITY; HYPOTHALAMUS; MAGNETIC resonance imaging; MAGNETIZATION transfer; FOOD habits
- Publication
Journal of Clinical Endocrinology & Metabolism, 2024, Vol 109, Issue 7, p1850
- ISSN
0021-972X
- Publication type
Article
- DOI
10.1210/clinem/dgae014