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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 57 out of 100. Disease mechanisms

Topic: Disease mechanisms in lab and animal studies

The loss of excitatory synapses is known to underlie the cognitive deficits in Alzheimer's disease (AD). Although much is known about the mechanisms underlying synaptic loss in AD, how neurons compensate for this loss and whether this provides cognitive benefits remain almost completely unexplored. In this review, we describe two potential compensatory mechanisms implemented following synaptic loss: the enlargement of the surviving neighboring synapses and the regeneration of synapses. Because dendritic spines, the postsynaptic site of excitatory synapses, are easily visualized using light microscopy, we focus on a range of microscopy approaches to monitor synaptic loss and compensation. Here, we stress the importance of longitudinal dendritic spine imaging, as opposed to fixed-tissue imaging, to gain insights into the temporal dynamics of dendritic spine compensation. We believe that understanding the molecular mechanisms behind these and other forms of synaptic compensation and regeneration will be critical for the development of therapeutics aiming at delaying the onset of cognitive deficits in AD.

Key findings

Study details

How this study scored 57/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record left out, no data; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 3 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited left out, no data; Citations per year left out, no data; Impact for its field and year left out, no data; Cited by studies here left out, no data; Still being cited left out, no data; Senior author's track record left out, no data; Institution's track record left out, no data; Multi-centre collaboration left out, no data; Indexed in PubMed 2 of 2; Free to read left out, no data. 32 of the 56 points it could be judged on, which is 57 of 100. Total 57 of 100.32 of the 56 points we could judge = 57 of 100

Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 32 of the 56 points we could judge it on, which is 57 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (The Journal of neuroscience : the official journal of the Society for Neuroscience)
Journal's citation record — / 4 No journal record from OpenAlex — left out of this score
Study design 7 / 12 A longitudinal study following the same people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 3 / 5 2023 — within 6 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited — / 7 No citation count (not found in OpenAlex) — left out of this score
Citations per year — / 5 No citation count or no year — left out of this score
Impact for its field and year — / 6 No field-weighted citation impact (OpenAlex has none yet) — left out of this score
Cited by studies here — / 6 Not yet checked against this library's citation graph — left out of this score
Still being cited — / 4 No yearly citation counts — left out of this score
Senior author's track record — / 4 Senior author's record not available — left out of this score
Institution's track record — / 3 No institution listed in OpenAlex — left out of this score
Multi-centre collaboration — / 3 Institutions not listed — left out of this score
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 37821232)
Free to read — / 2 Access not recorded — left out of this score
Points 32 / 56 Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 32 of the 56 points we could judge it on is 57 out of 100.
Total 57 / 100 —

What each of these 20 components measures, and what this score is not →

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Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Bhembre, N., Bonthron, C., & Opazo, P. (2023). Synaptic Compensatory Plasticity in Alzheimer's Disease. The Journal of neuroscience : the official journal of the Society for Neuroscience. https://doi.org/10.1523/jneurosci.0379-23.2023

Vancouver

Bhembre N, Bonthron C, Opazo P. Synaptic Compensatory Plasticity in Alzheimer's Disease. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2023. doi:10.1523/jneurosci.0379-23.2023. PMID: 37821232.

BibTeX

@article{bhembre2023-37821232,
  author  = {Bhembre, Nishita and Bonthron, Calum and Opazo, Patricio},
  title   = {{Synaptic Compensatory Plasticity in Alzheimer's Disease}},
  journal = {The Journal of neuroscience : the official journal of the Society for Neuroscience},
  year    = {2023},
  doi     = {10.1523/jneurosci.0379-23.2023},
  pmid    = {37821232},
  url     = {https://doi.org/10.1523/jneurosci.0379-23.2023}
}

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