Sign in
NeuroscienceMolecular Metabolism
Peer-reviewed journal article

AgRP Neuron Activity Predicts and Tracks the Glycemic Response to Oral Glucose

Micaela Johanna GlatiD, Anna J. BoweniD, Yang GouiD, Elizabeth Giering, Jarrad M. ScarlettiD, Gregory J. MortoniD, Michael W. SchwartziD

Abstract

Hypothalamic AgRP neurons are uniquely responsive to nutritional cues and play an important role in fuel homeostasis. To investigate the temporal relationship between the activity of these neurons and the glycemic response to an oral glucose load, we simultaneously monitored AgRP neuron activity (by fiber photometry in AgRP-IRES-cre mice) and the arterial glucose level, both before and after oral gavage (OG) of either water or glucose (0.5-2.5 g/kg). We report that the AgRP neuron response to an OG glucose load can be subdivided into two functionally distinct phases - one that begins prior to glucose delivery and a second that extends from peak inhibition through the return towards baseline. The first phase appears to be anticipatory in nature and is also predictive of subsequent changes in glycemia, suggesting a role in the handling of an oral glucose load. To analyze the relationship between the second phase response and changes of glycemia, we employed a model that allows residual activity to be removed subsequent to the first phase component. This analysis reveals that unlike the first phase, the degree of residual inhibition - the second phase - tracks the glycemic response. Moreover, this response is temporally aligned with the blood glucose (BG) rate of change (which is predictive of future BG levels), with AgRP neurons lagging BG rate of change by ~5 minutes. We conclude that the AgRP neuron response to an oral glucose challenge consists of two distinct phases, each with its own determinants and metabolic implications: an initial anticipatory component that is predictive of the subsequent glycemic response, and a second phase that tracks the rate of BG change.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
1
FWCI
3.26
Field percentile
top 11%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSo '23Walker '26Reichenbach '24Reed '23McMorrow '24Cavalcanti- '16
73% semantic matchNeuroscience
Wang Lok So, Jia-Chen E. Hu, Lotus Jeffs+6 more·Molecular Metabolism·Oct 26, 2023· 24 citations