Evidence map›Paper›PMID 37398359›Full record

ArticlebioRxiv : the preprint server for biology2023

Progressive excitability changes in the medial entorhinal cortex in the 3xTg mouse model of Alzheimer's disease pathology.

Lingxuan Chen, Zoé Christenson Wick, Lauren M Vetere, Nick Vaughan, Albert Jurkowski, Angelina Galas, Keziah S Diego, Paul Philipsberg, Denise J Cai, Tristan Shuman

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 12 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Lingxuan ChenIcahn School of Medicine at Mount Sinai, New York NY.
Zoé Christenson WickIcahn School of Medicine at Mount Sinai, New York NY.
Lauren M VetereIcahn School of Medicine at Mount Sinai, New York NY.
Nick VaughanIcahn School of Medicine at Mount Sinai, New York NY.
Albert JurkowskiIcahn School of Medicine at Mount Sinai, New York NY.
Angelina GalasIcahn School of Medicine at Mount Sinai, New York NY.
Keziah S DiegoIcahn School of Medicine at Mount Sinai, New York NY.
Paul PhilipsbergIcahn School of Medicine at Mount Sinai, New York NY.
Denise J CaiIcahn School of Medicine at Mount Sinai, New York NY.
Tristan ShumanIcahn School of Medicine at Mount Sinai, New York NY.
Icahn School of Medicine at Mount Sinai · USHunter College · USNew York University · USUniversity of California, Irvine · US

Funding

Circuit Mechanisms of Retrospective Memory-LinkingR01MH120162 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Denise Jade Cai · 2020 to 2026
$3.9M
Research Training in the Neuroscience of AgingT32AG049688 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Joseph Michael Castellano, PATRICK R HOF · 2015 to 2026
$3.0M
Circuits Driving Spatial Coding Deficits in EpilepsyR01NS116357 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SHUMAN, TRISTAN · 2021 to 2025
$2.8M
How does the brain maximize storage capacity?DP2MH122399 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, DENISE JADE · 2019 to 2020
$2.6M
Entorhinal-hippocampal interactions during progressive memory impairments in mouse models of Alzheimer's disease pathologyRF1AG072497 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SHUMAN, TRISTAN · 2022 to 2024
$2.4M
Closed-Loop Control of Dentate Inhibitory Timing in Healthy and Epileptic MiceF32NS116416 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHRISTENSON WICK, ZOÉ · 2020 to 2023
$206k
Interneuron and Network Dysfunction in a Mouse Model of Alzheimer's DiseaseF31AG069496 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI VETERE, LAUREN · 2020 to 2022
$134k
NIA NIH HHS F31 AG069496NIA NIH HHS RF1 AG072497NIA NIH HHS T32 AG049688NIMH NIH HHS DP2 MH122399NIMH NIH HHS R01 MH120162NINDS NIH HHS F32 NS116416NINDS NIH HHS R01 NS116357
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a chronic neurodegenerative disorder that is characterized by memory loss and progressive cognitive impairments. In mouse models of AD pathology, studies have found neuronal and synaptic deficits in the hippocampus, but less is known about what happens in the medial entorhinal cortex (MEC), which is the primary spatial input to the hippocampus and an early site of AD pathology. Here, we measured the neuronal intrinsic excitability and synaptic activity in MEC layer II (MECII) stellate cells, MECII pyramidal cells, and MEC layer III (MECIII) excitatory neurons at early (3 months) and late (10 months) time points in the 3xTg mouse model of AD pathology. At 3 months of age, prior to the onset of memory impairments, we found early hyperexcitability in MECII stellate and pyramidal cells' intrinsic properties, but this was balanced by a relative reduction in synaptic excitation (E) compared to inhibition (I), suggesting intact homeostatic mechanisms regulating activity in MECII. Conversely, MECIII neurons had reduced intrinsic excitability at this early time point with no change in the synaptic E/I ratio. By 10 months of age, after the onset of memory deficits, neuronal excitability of MECII pyramidal cells and MECIII excitatory neurons was largely normalized in 3xTg mice. However, MECII stellate cells remained hyperexcitable and this was further exacerbated by an increased synaptic E/I ratio. This observed combination of increased intrinsically and synaptically generated excitability suggests a breakdown in homeostatic mechanisms specifically in MECII stellate cells at this post-symptomatic time point. Together, these data suggest that the breakdown in homeostatic excitability mechanisms in MECII stellate cells may contribute to the emergence of memory deficits in AD.

Identifiers

PMID37398359
PMCPMC10312508
OpenAlexW4378834100

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.