Understanding the role of synaptopodin in driving homeostatic plasticity in the hippocampus
Bibliographic record
Abstract
I discovered that while wild-type CA1 neurons of organotypic hippocampal slices scale up their AMPAR-mediated current amplitudes after prolonged activity suppression, CA1 neurons lacking synaptopodin (SPKO) fail to exhibit this AMPAR-mediated upscaling.This functional representation of scaling is also shown structurally, where PSD95 puncta volume is significantly increased in wild-type CA1 neurons but not in SPKO CA1 neurons, reflecting lack of compensatory glutamatergic receptor incorporation following chronic inactivity in the absence of synaptopodin.Moreover, while wild-type hippocampal slices release a significant amount of TNF⍺ following prolonged activity suppression and the absence of TNF⍺ in wild-type slices block the scaling phenomenon, SPKO slices do not exhibit significant TNF⍺ release following chronic inactivity.Furthermore, SPKO CA1 neurons fail to display AMPAR current amplitude increase after acute exogenous TNF⍺ application despite equivalent tumor necrosis factor receptor 1 (TNFR1) expression between CA1 subfields of wild-type and SPKO slices.These results contribute to the ever-evolving body of work that proteins associated with a subset of dendritic spines can govern homeostatic responses to prolonged alterations in activity through integration with other scaling factors.These findings uncover the specific role of synaptopodin in synaptic scaling at CA3-CA1 synapses, where synaptopodin can promote compensatory AMPAR abundance after chronic inactivity and dictate TNF⍺ release as well as the TNF⍺-mediated signalling cascades to promote postsynaptic AMPAR incorporation.Ultimately, this work sheds light on the complexities underlying synaptic plasticity and expands the understanding of molecular mechanisms that, when perturbed, contribute to devastating pathologies like neuroinflammation and Alzheimer's disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".