Evidence map›Paper›PMID 35370089›Full record

ReviewSeminars in cell & developmental biology2023

Novel approaches to increase synaptic resilience as potential treatments for Alzheimer's disease.

Andrew Q Pham, Kim Dore

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  11. Synaptic Compensatory Plasticity in Alzheimer's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Review
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Andrew Q PhamDepartment of Neurosciences, Center for Neural Circuits and Behavior, UCSD, La Jolla 92093, United States.
Kim DoreDepartment of Neurosciences, Center for Neural Circuits and Behavior, UCSD, La Jolla 92093, United States. Electronic address: kdore@health.ucsd.edu.
Center for Neurosciences · US

Funding

Increasing synaptic PSD-95, a neuroprotection approach against Alzheimer's diseaseRF1AG067049 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DORE, KIM BOHEMIE · 2021 to 2021
$1.4M
NIA NIH HHS RF1 AG067049
6 · The paper itself

Abstract

A significant proportion of brains with Alzheimer's disease pathology are obtained from patients that were cognitively normal, suggesting that differences within the brains of these individuals made them resilient to the disease. Here, we describe recent approaches that specifically increase synaptic resilience, as loss of synapses is considered to be the first change in the brains of Alzheimer's patients. We start by discussing studies showing benefit from increased expression of neurotrophic factors and protective genes. Methods that effectively make dendritic spines stronger, specifically by acting through actin network proteins, scaffolding proteins and inhibition of phosphatases are described next. Importantly, the therapeutic strategies presented in this review tackle Alzheimer's disease not by targeting plaques and tangles, but instead by making synapses resilient to the pathology associated with Alzheimer's disease, which has tremendous potential.

Indexed as

Alzheimer DiseaseActinsAnimalsBrainDisease Models, AnimalHumansMiceMice, TransgenicSynapsesActinsAD model miceAPOE2, KlothoAPP/PS1NeuroprotectionPSD-95, phosphatases, cofilin, calcineurin, BDNFTherapeutic strategies

Identifiers

PMID35370089
PMCPMC10191447
OpenAlexW4221026792

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.