Evidence map›Paper›PMID 40654927›Full record

ArticlebioRxiv : the preprint server for biology2025

Presynaptic vesicles supply membrane for axonal bouton enlargement during LTP.

L M Kirk, G C Garcia, D C Hanka, K Zatyko, T Bartol, T J Sejnowski, K M Harris

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

L M KirkCenter for Learning and Memory, Department of Neuroscience, University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-5125-652X
G C GarciaComputational Neurobiology Laboratory, The Salk Institute for Biological Sciences, La Jolla, CA 92037.ORCID 0000-0002-2227-2483
D C HankaCenter for Learning and Memory, Department of Neuroscience, University of Texas at Austin, Austin, TX 78712.ORCID 0009-0000-1352-6827
K ZatykoCenter for Learning and Memory, Department of Neuroscience, University of Texas at Austin, Austin, TX 78712.ORCID 0009-0005-1566-7734
T BartolComputational Neurobiology Laboratory, The Salk Institute for Biological Sciences, La Jolla, CA 92037.ORCID 0009-0002-2598-0052
T J SejnowskiComputational Neurobiology Laboratory, The Salk Institute for Biological Sciences, La Jolla, CA 92037.ORCID 0000-0002-0622-7391
K M HarrisCenter for Learning and Memory, Department of Neuroscience, University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-1943-4744

Funding

Synaptic plasticity across the lifespanR01MH095980 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI KRISTEN M HARRIS · 2012 to 2026
$5.0M
Synaptic plasticity mechanisms that protect and refine local circuitsR56MH139176 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI HARRIS, KRISTEN M, ZITO, KAREN · 2024 to 2024
$467k
NIMH NIH HHS R01 MH095980NIMH NIH HHS R56 MH139176
6 · The paper itself

Abstract

Long-term potentiation (LTP) induces presynaptic bouton enlargement and a reduction in the number of synaptic vesicles. To understand the relationship between these events, we performed 3D analysis of serial section electron micrographs in rat hippocampal area CA1, 2 hours after LTP induction. We observed a high vesicle packing density in control boutons, contrasting with a lower density in most LTP boutons. Notably, the summed membrane area of the vesicles lost in low-density LTP boutons is comparable to the surface membrane required for the observed bouton enlargement when compared to high-density control boutons. These novel findings suggest that presynaptic vesicle density provides a new structural indicator of LTP that supports a local mechanism of bouton enlargement.

Identifiers

PMID40654927
PMCPMC12247634

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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.