Role of non-Smad signaling pathways in transforming growth factor beta (TGFβ)-induced expression of chondroitin sulfate proteoglycans (CSPGs) by reactive astrocytes
Bibliographic record
Abstract
Chondroitin sulphate proteoglycans (CSPGs) from the glial scar inhibit axonal regeneration following spinal cord injury. CSPG expression can be induced by transforming growth factor β (TGFβ), which suggests that inhibition of TGFβ may reduce CSPG levels. Astrocytes were treated with cyclic AMP (cAMP), which reduced TGFβ signaling protein Smad2 in astrocytes. However, cAMP-treated astrocytes showed strong neurocan expression following TGFβ treatment, which suggests that TGFβ may mediate CSPG expression through non-Smad pathways. Smad2 or Smad4 were knocked down in astrocytes using siRNA and TGFβ-induced neurocan, brevican and aggrecan expression were still observed, indicating that Smad signaling is not required for CSPG expression. Administration of a PI3K/Akt inhibitor produced significant reductions in neurocan, brevican and aggrecan expression in astrocytes, which suggests that PI3K/Akt pathway mediates CSPG expression. Erk1/2 inhibitor treatment did not reduce CSPG expression significantly. Targeting non-Smad signaling pathways may therefore be effective strategies to reduce CSPG expression following injury.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".