An Amygdalar-Vagal-Glandular Circuit Controls the Intestinal Microbiome
Chang, H.; Perkins, M. H.; Santana-Novaes, L.; Qian, F.; Han, W.; de Araujo, I.
Show abstract
Psychological states can regulate intestinal mucosal immunity by altering the gut microbiome. However, the link between the brain and microbiome composition remains elusive. We show that Brunners glands in the duodenal submucosa couple brain activity to intestinal bacterial homeostasis. Brunners glands mediated the enrichment of gut probiotic species in response to stimulation of abdominal vagal fibers. Cell-specific ablation of the glands triggered transmissible dysbiosis associated with an immunodeficiency syndrome that led to mortality upon gut infection with pathogens. The syndrome could be largely prevented by oral or intra-intestinal administration of probiotics. In the forebrain, we identified a vagally-mediated, polysynaptic circuit connecting the glands of Brunner to the central nucleus of the amygdala. Intra-vital imaging revealed that excitation of central amygdala neurons activated Brunners glands and promoted the growth of probiotic populations. Our findings unveil a vagal-glandular neuroimmune circuitry that may be targeted for the modulation of the gut microbiome. The glands of Brunner may be the critical cells that regulate the levels of Lactobacilli species in the intestine.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Postnatal intestinal epithelial maturation by LSD1 controls the small intestinal immune cell composition independently from the microbiota 97%
- A niche-dependent redox rheostat regulates epithelial stem cell fate in the distal colon 96%
- The gut commensal Blautia maintains colonic mucus function under low fiber consumption through short-chain fatty acid-mediated activation of Ffar2 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.