Reverse-translational identification of a cerebellar satiation network.
Aloysius Y T LowNitsan GoldsteinJessica R GauntKuei-Pin HuangNorliyana ZainolabidinAlaric K K YipJamie R E CartyJu Y ChoiAlekso M MillerHelen S T HoClara LenherrNicholas BaltarEiman AzimOctober M SessionsToh Hean Ch'ngAmanda S BruceLaura E MartinMark A HalkoRoscoe O BradyLaura M HolsenAlbert I ChenAlbert I ChenJ Nicholas BetleyPublished in: Nature (2021)
The brain is the seat of body weight homeostasis. However, our inability to control the increasing prevalence of obesity highlights a need to look beyond canonical feeding pathways to broaden our understanding of body weight control1-3. Here we used a reverse-translational approach to identify and anatomically, molecularly and functionally characterize a neural ensemble that promotes satiation. Unbiased, task-based functional magnetic resonance imaging revealed marked differences in cerebellar responses to food in people with a genetic disorder characterized by insatiable appetite. Transcriptomic analyses in mice revealed molecularly and topographically -distinct neurons in the anterior deep cerebellar nuclei (aDCN) that are activated by feeding or nutrient infusion in the gut. Selective activation of aDCN neurons substantially decreased food intake by reducing meal size without compensatory changes to metabolic rate. We found that aDCN activity terminates food intake by increasing striatal dopamine levels and attenuating the phasic dopamine response to subsequent food consumption. Our study defines a conserved satiation centre that may represent a novel therapeutic target for the management of excessive eating, and underscores the utility of a 'bedside-to-bench' approach for the identification of neural circuits that influence behaviour.
Keyphrases
- deep learning
- body weight
- magnetic resonance imaging
- single cell
- high fat diet induced
- weight loss
- spinal cord
- uric acid
- weight gain
- insulin resistance
- machine learning
- metabolic syndrome
- bioinformatics analysis
- type diabetes
- rna seq
- computed tomography
- physical activity
- low dose
- genome wide
- transcription factor
- gene expression
- multiple sclerosis
- copy number
- spinal cord injury
- dna methylation
- contrast enhanced
- neural network