The amyloid precursor family of proteins in excitatory neurons are essential for regulating cortico-hippocampal circuit dynamics in vivo

The amyloid precursor protein (APP) family is ubiquitously expressed in the mammalian brain and implicated in Alzheimer's disease. APP family proteins participate in synaptic function and their absence impairs cognition. However, how these proteins regulate neural circuits and influence brain-behavior relationships remains unknown. Using in vivo two-photon Ca<sup>2+</sup>-imaging and Neuropixels, we show that APP family knockout (KO) in excitatory neocortical and hippocampal neurons suppresses neuronal dynamics across behavioral states, and results in an increased proportion of low-activity and silent neurons. Further, APP family KO leads to a reduction in synapses expressing the requisite N-methyl-D-aspartate receptor (NMDAR) subunit GluN1, with pharmacological enhancement of NMDAR function normalizing aberrant dynamics in low-activity neurons and rectifying behavioral impairments. Suppressing NMDAR function in control mice replicates the functional phenotype observed in APP family KOs. Our findings indicate a physiological role for the APP family in regulating and sustaining spontaneous neuronal activity in cortico-hippocampal circuits in vivo.

Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2025-06-24
DOI
https://doi.org/10.3929/ethz-b-000741361
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The amyloid precursor family of proteins in excitatory neurons are essential for regulating cortico-hippocampal circuit dynamics in vivo

Repository for Publications and Research Data (ETH Zurich)
Alzheimer's disease research and treatments
article

The amyloid precursor family of proteins in excitatory neurons are essential for regulating cortico-hippocampal circuit dynamics in vivo

article en

Abstract

The amyloid precursor protein (APP) family is ubiquitously expressed in the mammalian brain and implicated in Alzheimer's disease. APP family proteins participate in synaptic function and their absence impairs cognition. However, how these proteins regulate neural circuits and influence brain-behavior relationships remains unknown. Using in vivo two-photon Ca<sup>2+</sup>-imaging and Neuropixels, we show that APP family knockout (KO) in excitatory neocortical and hippocampal neurons suppresses neuronal dynamics across behavioral states, and results in an increased proportion of low-activity and silent neurons. Further, APP family KO leads to a reduction in synapses expressing the requisite N-methyl-D-aspartate receptor (NMDAR) subunit GluN1, with pharmacological enhancement of NMDAR function normalizing aberrant dynamics in low-activity neurons and rectifying behavioral impairments. Suppressing NMDAR function in control mice replicates the functional phenotype observed in APP family KOs. Our findings indicate a physiological role for the APP family in regulating and sustaining spontaneous neuronal activity in cortico-hippocampal circuits in vivo.

Repository for Publications and Research Data (ETH Zurich)
Good health and well-being
Openalex Percentile: Top 46%
Alzheimer's disease research and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The amyloid precursor family of proteins in excitatory neurons are essential for regulating cortico-hippocampal circuit dynamics in vivo · Repository for Publications and Research Data (ETH Zurich) (2025) | TGRS Research Map | TGRS