Author:
Ravichandran Soumya,Sood Riya,Das Isha,Dong Tien,Figueroa Johnny D.,Yang Jennifer,Finger Nicholas,Vaughan Allison,Vora Priten,Selvaraj Katie,Labus Jennifer S.,Gupta Arpana
Abstract
AbstractObesity and food addiction are associated with distinct brain signatures related to reward processing, and early life adversity (ELA) also increases alterations in these same reward regions. However, the neural mechanisms underlying the effect of early life adversity on food addiction are unknown. Therefore, the aim of this study was to examine the interactions between ELA, food addiction, and brain morphometry in individuals with obesity. 114 participants with high body mass index (BMI) underwent structural MRIs, and completed several questionnaires (e.g., Yale Food Addiction Scale (YFAS), Brief Resilience Scale (BRS), Early Traumatic Inventory (ETI)). Freesurfer 6 was applied to generate the morphometry of brain regions. A multivariate pattern analysis was used to derive brain morphometry patterns associated with food addiction. General linear modeling and mediation analyses were conducted to examine the effects of ELA and resilience on food addiction in individuals with obesity. Statistical significance was determined at a level of p < 0.05. High levels of ELA showed a strong association between reward control brain signatures and food addiction (p = 0.03). Resilience positively mediated the effect of ELA on food addiction (B = 0.02, p = 0.038). Our findings suggest that food addiction is associated with brain signatures in motivation and reward processing regions indicative of dopaminergic dysregulation and inhibition of cognitive control regions. These mechanistic variabilities along with early life adversity suggest increased vulnerability to develop food addiction and obesity in adulthood, which can buffer by the neuroprotective effects of resilience, highlighting the value of incorporating cognitive appraisal into obesity therapeutic regimens.
Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Reference107 articles.
1. (National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), 2021).
2. (ed Physical Activity Division of Nutrition, and Obesity, National Center for Chronic Disease Prevention and Health Promotion) (Centers for Disease Control and Prevention, 2022).
3. Cawley, J. et al. Direct medical costs of obesity in the United States and the most populous states. J. Manag. Care Spec. Pharm. 27, 354–366. https://doi.org/10.18553/jmcp.2021.20410 (2021).
4. Littleton, S. H., Berkowitz, R. I. & Grant, S. F. A. Genetic determinants of childhood obesity. Mol. Diagn. Ther. 24, 653–663. https://doi.org/10.1007/s40291-020-00496-1 (2020).
5. Lopez, M. et al. The social ecology of childhood and early life adversity. Pediatr Res. 89, 353–367. https://doi.org/10.1038/s41390-020-01264-x (2021).