TRAPping loss of control in binge eating

NIH RePORTER · NIH · R21 · $266,250 · view on reporter.nih.gov ↗

Abstract

ABSTRACT Loss of control (LOC) eating, the sense of being unable to control one’s intake, is a hallmark of binge eating and a defining, causal antecedent of binge-type eating disorders1,2. LOC eating also predicts anxiety disorders and depression and, as a core symptom of food addiction is seen in millions of overweight individuals8,12,17-21. Clinically, the severity of LOC eating predicts more eating disorder pathology and emotion dysregulation; impulsivity and impaired inhibitory control; and less weight loss post-bariatric surgery22-30. LOC predicts these measures independent from and more effectively than does the amount eaten28,31-41 and foretells weight gain and metabolic syndrome risk1,2,29,45-51. Recent psychometric finding also suggest that behavioral signs of LOC correlate more with eating disorder pathology and binge eating than do cognitive or affective LOC criteria43. We thus developed a novel model of LOC eating in which rats with intermittent, extended access to palatable food show hallmarks of behavioral LOC in human scales, including increased food-directed effort and intake despite negative consequences, In the present application we will develop the model further to obtain additional, translationally-relevant measures of behavioral LOC (Aim 1). We also will use a sensitive, specific AAV E-SARE to enable neuronal activity-dependent targeted recombination in active populations (TRAP) (Aim 2) in order to dissect a recently identified anterior insula neuronal ensemble implicated in LOC-like eating. The studies will inform the role of intermittent, extended access in the etiology and modeling of behavioral LOC for translational studies. They also will identify the LOC-associated ensemble’s location, molecular markers and causal role. Finally, by leveraging ensemble translatome results with UK Biobank gene association data, the project may identify novel therapeutic targets for LOC eating.

Key facts

NIH application ID
10219019
Project number
1R21MH124036-01A1
Recipient
SCRIPPS RESEARCH INSTITUTE, THE
Principal Investigator
ERIC P ZORRILLA
Activity code
R21
Funding institute
NIH
Fiscal year
2021
Award amount
$266,250
Award type
1
Project period
2021-05-01 → 2023-04-30