Enteroendocrine cell types that drive food reward and aversion
Abstract
Animals must learn through experience which foods are nutritious and should be consumed, and which are toxic and should be avoided. Enteroendocrine cells (EECs) are the principal chemosensors in the GI tract, but investigation of their role in behavior has been limited by the difficulty of selectively targeting these cells in vivo. Here we describe an intersectional genetic approach for manipulating EEC subtypes in behaving mice. We show that multiple EEC subtypes inhibit food intake but have different effects on learning. Conditioned flavor preference is driven by release of cholecystokinin whereas conditioned taste aversion is mediated by serotonin and substance P. These positive and negative valence signals are transmitted by vagal and spinal afferents, respectively. These findings establish a cellular basis for how chemosensing in the gut drives learning about food.
Data availability
Source data is included in the manuscript. RNA-seq data is available from the Gene Expression Omnibus (GSE203200). Villin-Flp mice have been deposited at Jackson laboratory.
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Enteroendocrine cell types that drive food reward and aversionNCBI Gene Expression Omnibus, GSE203200.
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Identification of functional enteroendocrine regulators by real-time single-cell differentiation mappingNCBI Gene Expression Omnibus, GSE113561.
Article and author information
Author details
Funding
National Institutes of Health (R01-DK106399)
- Zachary A Knight
National Institutes of Health (RF1-NS116626)
- Zachary A Knight
Howard Hughes Medical Institute (Investigator)
- Zachary A Knight
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Animal experimentation: All experimental protocols were approved by the University of California, San Francisco IACUC (protocol #AN179674) following the National Institutes of Health guidelines for the Care and Use of Laboratory Animals.
Copyright
© 2022, Bai et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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