Increased Transforming Growth Factor-β1 Modulates Hippocampal Glutamatergic Synaptic Protein Expression and Synaptic Transmission
Bibliographic record
Abstract
Transforming growth factor-beta 1 (TGF-β1) is a multifunctional cytokine that orchestrates key events of development, disease and repair in the central nervous system (CNS). To investigate the effects of chronically producing TGF-β1 on synaptic structure and synaptic transmission, I performed immunohistochemistry and immunoblot of brain tissues from transgenic mice (TGF-β1 mice) that over-express active form of TGF-β1 from astrocytes in the CNS. Immunohistochemical assays showed that synaptophysin increased in the CA3 subfield whereas calbindin-D28K decreased in the mossy fibres. Immunoblot analysis revealed that several α-amino-3-hydroxy-5-methyl-4-isoxazoleproprionic acid (AMPA) and N-methyl-D-aspartate (NMDA) receptor subunit proteins were up-regulated in the hippocampus of TGF-β1 mice. To examine the direct effect of TGF-β1 alone on glutamatergic synaptic activity, cultured hippocampal neurons were treated with or without TGF-β1. Electrophysiological recordings displayed that TGF-β1 significantly increased the amplitude of glutamate-evoked current (p<0.05). Taken together, these data suggest that TGF-β1 modulates hippocampal glutamatergic synaptic protein expression and regulates synaptic transmission.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".