Evidence map›Paper›PMID 35781092›Full record

ReviewAgeing research reviews2022

'Arc'-hitecture of normal cognitive aging.

Craig Myrum, Perla Moreno-Castilla, Peter R Rapp

Abstract readReview
In one paragraph

Review in Ageing research reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  6. Review
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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

3 authors.

Craig MyrumNeurocognitive Aging Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA. Electronic address: craig.myrum@nih.gov.
Perla Moreno-CastillaNeurocognitive Aging Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA. Electronic address: perla.morenocastilla@nih.gov.
Peter R RappNeurocognitive Aging Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA. Electronic address: rappp@mail.nih.gov.

Funding

Neurocognitive Aging: Experience-Dependent Dynamics, Plasticity and Network ContributionsZIAAG000350 · NIA · NATIONAL INSTITUTE ON AGING · PI RAPP, PETER R · 2009 to 2025
$30.9M
Intramural NIH HHS Z99 AG999999Intramural NIH HHS ZIA AG000350
6 · The paper itself

Abstract

Arc is an effector immediate-early gene that is critical for forming long-term memories. Since its discovery 25 years ago, it has repeatedly surprised us with a number of intriguing properties, including the transport of its mRNA to recently-activated synapses, its master role in bidirectionally regulating synaptic strength, its evolutionary retroviral origins, its ability to mediate intercellular transfer between neurons via extracellular vesicles (EVs), and its exceptional regulation-both temporally and spatially. The current review discusses how Arc has been used as a tool to identify the neural networks involved in cognitive aging and how Arc itself may contribute to cognitive outcome in aging. In addition, we raise several outstanding questions, including whether Arc-containing EVs in peripheral blood might provide a noninvasive biomarker for memory-related synaptic failure in aging, and whether rectifying Arc dysregulation is likely to be an effective strategy for bending the arc of aging toward successful cognitive outcomes.

Indexed as

Cognitive AgingNeuronal PlasticityAgingCytoskeletal ProteinsHumansNerve Tissue ProteinsSynapsesCytoskeletal ProteinsNerve Tissue ProteinsArcImmediate early geneMemoryNormal cognitive agingPlasticity

Identifiers

PMID35781092
PMCPMC9378697

What OpenQuestion holds

Textmetadata
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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.