PDGFRβ signal inhibition in brain pericytes reverses the decreased expression of astrocytic glutamate transporter EAAT2 in the hippocampus of traumatic brain injury model mice
Bibliographic record
Abstract
Impaired glutamate uptake and lowered expression of glutamate transporter (excitatory amino acid transporter: EAAT) in activated astrocytes are involved in the development of neuronal hyperexcitability in traumatic brain injury (TBI). Our previous study showed that astrocytic activation, characterized by increased GFAP expression, is preceded by increased expression of platelet-derived growth factor receptor (PDGFR) β in brain pericytes of TBI mice. However, little is known about the role of pericyte in dysregulation of glutamate uptake via EAAT in astrocytes under TBI pathology. Here, we investigated whether reactive pericytes in the early phase after TBI modulate EAAT2 expression in astrocytes. EAAT2 expression in astrocytes was significantly lower in the ipsilateral hippocampus 28 days after TBI than after sham operation. The decreased EAAT2 levels in TBI mice on postoperative day 28 were reversed by treatment with imatinib, a PDGFRβ inhibitor, during a period of postoperative day 0–4. In this period, PDGFRβ expression was increased in pericytes. These findings suggest that increased PDGFRβ expression in pericytes in the early phase causes the downregulation of EAAT2 expression in astrocytes in the late phase after TBI and drives the development of impaired glutamate uptake in astrocytes after TBI.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.001 | 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".