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Prefrontal Cortical GABAergic Dysfunction Contributes to Aberrant UP-State Duration in APP Knockout Mice
Qingwei Huo1,2, Ming Chen2, Quansheng He2
1School of Psychology South China Normal University, Guangzhou 510631, China.
Cerebral Cortex (New York, N.Y. : 1991)
|August 25, 2016
Summary
Amyloid precursor protein (APP) absence increases cortical UP states by altering GABA signaling. Restoring GABA function rescues these network abnormalities, highlighting APP
Area of Science:
- Neuroscience
- Molecular Biology
- Systems Biology
Background:
- Amyloid beta protein's role in Alzheimer's pathogenesis is well-studied.
- Physiological functions of its precursor, amyloid precursor protein (APP), in neural activity remain less understood.
- UP states, crucial for cortical synaptic integration during slow-wave sleep, are key indicators of network function.
Purpose of the Study:
- To investigate the physiological role of APP in regulating synaptic and network activity.
- To explore the impact of APP absence on prefrontal cortex (PFC) network function, specifically UP state duration.
- To identify potential therapeutic targets for aberrant neural network activity.
Main Methods:
- Utilized an APP knockout (APP-/-) mouse model.
- Measured UP state duration in the prefrontal cortex (PFC).
- Assessed glutamine synthetase, tissue GABA content, and GABAB receptor (GABABR) expression.
- Employed pharmacological interventions targeting GABA signaling (GABA uptake inhibitor, GABABR agonist).
Main Results:
- APP absence significantly increased UP state duration in the PFC.
- This was associated with reduced glutamine synthetase and GABA content, and increased GABABR expression.
- Pharmacological enhancement of GABA signaling normalized UP-state duration and, in some cases, GABABR expression.
Conclusions:
- APP plays a critical role in regulating PFC network function and synaptic integration.
- The GABA signaling pathway, particularly GABABRs, is implicated in APP-dependent network regulation.
- Targeting the GABAergic system offers a potential therapeutic strategy for correcting aberrant neural network activity.

